text:
\section{Introduction}

There is overwhelming astrophysical and cosmological evidence for the existence of cold dark matter (DM) \cite{Sofue:2000jx,Massey:2010hh,Aghanim:2018eyx,Primack:2015kpa}. However, the detailed properties of the DM, in particular its mass, are highly unconstrained \cite{Tanabashi:2018oca}. The possibility that the dark sector could contain or even consist primarily of ``ultralight'' bosonic fields of mass $10^{-22}~{\rm eV} \lesssim m_{\phi} \lesssim 0.1~{\rm eV}$ has recently received considerable attention~\cite{Essig:2013lka,Hui:2016ltb,Irastorza:2018dyq}.

The existence of such light fields coupling to the standard model (SM) may induce new forces beyond the usual electroweak and strong forces. For example, if there are additional light scalars which couple to SM matter through Yukawa couplings, the best constraints come from torsion balance experiments looking for ``5th forces'' between a pair of macroscopic masses \cite{adelberger2009torsion,wagner2012torsion}. Furthermore, as first emphasized in \cite{graham2016dark}, if these ultralight bosons make up a significant fraction of the ambient DM background, existing mechanical accelerometers \cite{adelberger2009torsion,wagner2012torsion,pierce2018searching,Guo:2019ker} and upcoming large-scale atomic interferometers (eg. \cite{coleman2018magis}) can be used to further probe these models.

Ultralight dark matter detection can be viewed as a paradigmatic exercise in quantum metrology. Essentially, the dark matter creates a classical, persisent, but extremely weakly-coupled force on a sensor. The goal is to then detect or rule out the presence of this force. This task is fundamentally limited by the noise in the detection system. High-quality microwave cavity systems are already used for such metrological searches for a particular ultralight DM candidate--the axion, which couples to the electromagnetic field in the cavity \cite{du2018search,zhong2018results}.

In this paper, we study ultralight DM candidates which couple to all atoms in a massive object coherently, for example through direct coupling to neutron number. As we will see, massive, mechanical sensors are ideal detector candidates for this type of dark matter, due to their extremely high force sensitivities and rapid scalability in mass. These devices consist of optical or microwave fields optomechanically coupled to a diverse range of mechanical systems, including suspended pendulums \cite{TheLIGOScientific:2014jea,matsumoto20155,matsumoto2019demonstration}, high-tension mechanical membranes \cite{reinhardt2016ultralow,tsaturyan2017ultracoherent}, levitated dielectric \cite{yin2013optomechanics,chang2010cavity,hempston2017force,monteiro2017optical} or magnetic \cite{chan1987superconducting1,chan1987superconducting2,prat2017ultrasensitive} objects, and even levitated liquids \cite{childress2017cavity}. Torsion balances \cite{adelberger2009torsion,wagner2012torsion} fall into this class, but are predominantly operated in room temperature environments; smaller devices (eg. around the milligram scale) can be used in highly isolated environments, eg. using dilution refrigeration and/or high vacuum.

We emphasize the utility of multiple sensing devices (in an array or distributed at widely separated locations) for DM detection. Arrays of sensors benefit from reduction of the noise compared to the correlated DM signal, and enable rejection of some important backgrounds. In particular, the signals we consider here act differently on different material types, unlike the gravitational and seismic noise backgrounds dominating at low frequencies. Thus an array with at least two different types of material sensors can be used to make differential measurements which subtract out these backgrounds \cite{graham2016dark}. We will see that at the level of a pair of sensors in a well-isolated environment (eg. dilution refrigeration) these mechanical sensors already have detection reach competitive with existing torsion balance and interferometery experiments. Arrays of $N_{\rm det}$ sensors can further enhance the detection reach by a factor of at least $\sqrt{N_{\rm det}}$, and as fast as $N_{\rm det}$, in the case of correlated, ``Heisenberg-limited'' readout \cite{giovannetti2011advances}.

Recently, it has been proposed that a large array of mechanical sensors operating with significant quantum noise-reduction could enable direct detection of heavy ($m \gtrsim m_{\rm pl}$) DM candidates purely through their gravitational interactions \cite{carney2019gravitational}. Here, we propose ultralight DM detection as a nearer-term goal achievable with just a few mechanical sensors, operating at noise levels around the ``standard quantum limit'' (SQL), a benchmark already demonstrated in many devices. The scalable nature of an array and potential improvements to the noise levels beyond the SQL would allow for significant ultralight DM detection reach en route
to the long-term goal of gravitational DM detection with mechanical sensors.

\section{Ultralight dark matter}

To begin, we briefly review the salient facts about ultralight dark matter. The essential feature of these ultralight candidates is that they behave as a persistent, wave-like field, due to their high occupation number. This should be contrasted to heavier DM candidates, for example ${\rm GeV}$-scale weakly interacting massive particles (WIMPs), which manifest as a dilute gas of single particles. See \cite{Lisanti:2016jxe} for a general review of dark matter properties, and \cite{Arias:2012az,Irastorza:2018dyq} for reviews of ultralight dark matter.

Suppose the dark sector consists of a single bosonic field of mass $m_{\phi}$. Bosonic dark matter is required to have $m_{\phi} \gtrsim 10^{-22} ~\ev$ so that its de Broglie wavelength does not exceed the core size of a dwarf galaxy and to satisfy Lyman-$\alpha$ constraints~\cite{Hui:2016ltb,Armengaud:2017nkf,Marsh:2018zyw,Bar:2019bqz} (note that recent evidence indicates that the constraints may be a few orders of magnitude stronger than this~\cite{Bar:2018acw,Bar:2019bqz,Safarzadeh:2019sre}). Dark matter this light is necessarily bosonic as fermionic dark matter with a mass $\lesssim$ keV would not fit inside of a dwarf galaxy due to the Pauli exclusion principle~\cite{Tremaine:1979we}. Assuming that the DM has virialized to the galaxy, it will be moving with a typical speed $v \sim 10^{5} ~{\rm m/s}$ due to the viral theorem, and thus have de Broglie wavelength of order $\lambda = 1/m_{\phi} v$.\footnote{In this paper we use natural units $\hbar = c = 1$ in equations, but will quote experimentally-relevant numbers in SI units for ease of comparison with experimental work.}

Consider the number of DM quanta in a typical cell of phase space. If $n_{\rm DM} = \rho_{\rm DM}/m_{\phi}$ is the number density of DM, the phase space occupancy is given by
\begin{eqnarray}
\lambda^3 n_{\rm DM} = \frac{\rho_{\rm DM}}{m_{\phi}^4 v^3} \sim 10^{15} \left( \frac{1~\si{\milli\electronvolt}}{m_{\phi}} \right)^4,
\end{eqnarray}
where the observed value of the local dark matter density $\rho_{\rm DM} \sim 0.3~{\rm GeV}/{\rm cm}^3$. Thus for any $m_{\phi} \lesssim 0.1~\ev$, this occupancy is huge, indicating that the dark matter can be treated as a classical field, essentially a superposition of many different plane waves. These waves have velocities following a Boltzmann distribution. The phases in these plane waves are uncorrelated from each other.  Their propagation directions (and polarization vectors, for vectorial fields) are distributed isotropically as long as DM has fully virialized.  Superposing a large number of such waves will produce an overall time-dependent waveform with frequency $\omega \simeq m_{\phi}$ and frequency spread $\delta \omega \approx v/\lambda = v^2 m_{\phi}$. This frequency spread leads to a coherence time $T_{\rm coh} \approx 1/\delta \omega \approx 10^6/\omega$. For a time duration smaller than $T_{\rm coh}$, the DM background can be approximately treated as a coherent sinusoidal wave with signal angular frequency and wavelength
\begin{eqnarray}
\omega_{\phi} \simeq 10^{12} ~ \si{\hertz} \times \left( \frac{m_{\phi}}{1~\si{\milli\electronvolt}} \right), \ \lambda \simeq 1~\si{\meter} \times \left( \frac{1~\si{\milli\electronvolt}}{m_{\phi}} \right).
\label{freqwavelength}
\end{eqnarray}
In figure \ref{fig:signal}, we give a visualization of the power spectral density of the DM field, generated by simulating a large number of superposed DM quanta (see appendix \ref{app-DMPSD} for details). In particular, one can see the ``quality factor'' of the DM signal $Q \sim 10^6$ coming from the frequency drift $\delta \omega$.

\begin{figure}
    \centering
    \includegraphics[scale=0.62]{signal_new.pdf}
    \includegraphics[scale=0.6]{phase_drift.pdf}
    \caption{Example simulated power spectral density and phase drift for vector dark matter of mass $m_{\phi} =6.6\times 10^{-13}~{\rm eV}$, corresponding to a signal frequency $\omega_0 = 1~{\rm kHz}$ at zero momentum. One can read off the effective quality factor of the DM signal $Q \sim 10^6$, which sets the coherence time of the signal. See appendix see appendix \ref{app-DMPSD} for details.}
    \label{fig:signal}
\end{figure}

Assuming there is a non-zero coupling between the DM field and the sensor, if the observational time $T_{\rm int}$ is much shorter than $T_{\rm coh}$,  we can parametrize the force exerted on the sensor (along a given axis) by the DM as
\begin{eqnarray}
\label{forcegeneral}
F_s(t) = g N_g F_0 \sin(\omega_{\phi} t)
\end{eqnarray}
under the assumption that the wavelength \eqref{freqwavelength} is much larger than the size of the sensor. In equation \eqref{forcegeneral}, $g$ is a dimensionless coupling strength depending on DM model, $F_0 = \sqrt{\rho_{\rm DM}} \sim 10^{-15}~\si{\newton}$, and $N_g$ is the number of total charges in a given sensor. For example, consider the case that the light boson is a vector boson which couples to neutrons (studied in detailed in the next subsection); then $N_g \approx \frac{1}{2} m_s/m_{\rm neutron}$ is approximately the number of neutrons in a sensor of mass $m_s$. For observational times longer than $T_{\rm coh}$, we essentially have $N_{\rm bins} = T_{\rm int}/T_{\rm coh}$ independent realizations of \eqref{forcegeneral}, with randomly oriented amplitude and phase.

Aside from the general properties just mentioned, there are several distinguishing features of the signal that can be used to distinguish from background.  The first is that the signal has a uniform direction over timescales of the coherence time.  This means that force sensors in different directions can be used to isolate the signal while rejecting background.  The second property is that the Earth's motion in the galaxy and self rotation select a preferred direction for signal.  More explicitly, the Earth is moving at speed $v \sim 10^5 ~{\rm m/s}$ around the center of the galaxy.  Additionally, there is increasing evidence that there is a stream of non-virialized DM moving past the Earth with velocities also $v \sim 10^{5} ~{\rm m/s}$~\cite{myeong2017halo,o2018dark,necib2018under}. Thus while it is difficult to say for certain what direction any preference would be, it is certain that the signal will be $\mathcal{O}(1)$ biased in some direction.  The third is that there will be modulations.  The Earth is moving around the sun at $\delta v \sim 10^{4} ~{\rm m/s}$ and the surface of the Earth rotates around its axis as a speed $\delta v \sim 100~{\rm m/s}$.  Thus the DM signal will move fractionally in frequency space by an amount $v \delta v \sim 10^{-7} - 10^{-9}$.\footnote{This comes from the fact that dark matter is non-relativistic so the main effect of adding velocities is to change the energy by $\frac{1}{2} m_{\phi} (v + \delta v)^2$, giving a Doppler shift  $\sim m_{\phi} v \delta v$.} The fourth is that if $m_{\phi} \lesssim 10^{-9}$ eV, the coherence length of DM reaches the size of the Earth, so experiments on multiple parts of the planet would be correlated.

Our general parametrization \eqref{forcegeneral} can be used to model the signal produced by a variety of DM candidates to produce a basic sensitivity estimate. Here, we briefly exhibit a pair of DM models to show how this type of signal arises.

\subsection{Vector B-L dark matter}

The first case we consider is when dark matter is a spin-1 particle, which couples to a conserved current. In SM, there are two conserved currents that a vector-like DM can couple to without introducing new gauge anomalies: electric charge, and baryon number minus lepton number, i.e. $B-L$ charge. For the case of electric charge, DM induced force is highly suppressed since the test objects are generically charge neutral, thus we consider the case where dark matter is a vector field that couples to $B-L$ charge.

The Lagrangian in this case can be written as
\begin{eqnarray}
\mathcal{L} = - \frac{1}{4} F^2 - \frac{1}{2}m_{\phi}^2 A^2+  i g_{B-L} A_\mu \oL{n}\gamma^\mu n.
\end{eqnarray}
Here $n$ is the neutron field, so the vector boson couples directly to the number of neutrons. The boson mass term can be generated by Higgsing the $U(1)_{B-L}$ group, providing the mass $m_{\phi}$.  For simplicity, the Higgs boson is assumed to be much heavier than the gauge boson, i.e. the Stueckelberg limit. The vector gauge boson is assumed to couple to $B - L$ charge.   For a charge neutral test object, $A_\mu$ effectively couples to the total neutron number.

Taking the Lorentz gauge, i.e. $\partial^\mu A_\mu = 0$, one can show that $A_0$ is smaller than $A_i$ by a factor of the velocity of dark matter, $v \sim 10^{-3}$.
One also finds that the dark electric field is much larger than the dark magnetic field, i.e. $|\vec E| \simeq |\partial_0 \vec A |\simeq m_{\phi} |\vec A|\gg |\vec B| \simeq m_{\phi} |\vec v| |\vec A|$. In the plane wave approximation, the dark electric field can be written as
\begin{eqnarray}
E \simeq \sqrt{2 \rho_{\rm DM}} \sin(\omega_{\phi} t - \vec k\cdot\vec x+\phi_0)
\end{eqnarray}
where the normalization is set to reproduce the observed local dark matter mass density, and the frequency is set by the mass of the DM, i.e. $\omega_{\phi} \simeq m_{\phi}$. This will produce a force of the form
\begin{eqnarray}
\label{BLforce}
F = N_{B-L} g_{B-L} E \approx g_{B-L} N_{B-L} F_0 \sin (\omega_{\phi} t+\phi_0)
\end{eqnarray}
on each sensor.  For the frequencies under consideration, the wavelength is much larger than the size of the experiment so that we will drop the $x$ dependence.  Here for a sensor with mass $m_s$, $N_g = N_{B-L} \simeq \frac{1}{2} m_s/m_{\rm neutron}$, which is the number of neutrons in the sensor and $F_0 = \sqrt{\rho_{\rm DM}} \approx 10^{-15}~\si{\newton}$.

\subsection{Scalar coupling to neutrons}

Another option for light DM is that it is a spin-0 particle.  It can couple to SM fermions through two types of couplings, derivative and non-derivative interactions.  Derivative interactions couples to a vector quantity of the test mass.  The test mass tends to have very low intrinsic spin and thus do not couple very strongly to derivative interactions.  As such we consider non-derivative interactions.

The leading non-derivative interactions a scalar can have with the SM are Yukawa interactions, much like the well known example of the Higgs boson.  Similar to the Higgs boson, in the presence of a coherent background of the light scalar field, these Yukawa interactions have the effect of modulating the mass of a particle.  The spatial dependence of the mass results in a force on the test mass.

In order to make a close analogue to the previous example, we imagine a model where the scalar DM $\phi$ couples only to neutrons through a Yukawa coupling
\begin{eqnarray}
L = -\frac{1}{2}\partial_\mu \phi \partial^\mu \phi-\frac{1}{2} m^2 \phi^2 + y \phi \oL{n} n.
\end{eqnarray}
Under the planewave approximation, the force on an object with $N_g$ neutrons can be written as
\begin{eqnarray}
F = - \frac{dV}{dx} \approx y N_g v F_0 \sin(\omega_{\phi} t).
\end{eqnarray}
Note that this example is similar to \eqref{BLforce} except that the two couplings are named differently, $g_{B-L}$ versus $y$.  The only other difference comes from the velocity suppression; in terms of the parametrization \eqref{forcegeneral} here we have $g = v y$. This is due to the fact that forces are vector quantities and for the case of a scalar, the only vector quantity to provide a direction is the small velocity.

\section{Detection with optomechanical force sensors}

In this section we give a brief overview of continuous force sensing, with the goal of explaining how force-sensitivity curves are derived in a typical quantum optomechanics experiment. See appendix \ref{optoappendix} for a detailed treatment, or \cite{clerk2010introduction} for a review.

Consider a prototypical force sensor consisting of a high-finesse optical cavity formed by a partially transparent mirror on one side and a high-reflectivity mirror suspended as a pendulum of mass $m_s$ and mechanical frequency $\omega_s$ on the other side (see figure \ref{cavity-opto}). The suspended mirror is used as the sensor, which can be monitored by light sent into the cavity through an external laser. Displacements of the mirror $x(t)$ produce changes of the cavity fundamental frequency, leading to a coupling of the light and mechanics. Light emerging from the cavity picks up a phase dependent on the mechanical displacement, which can then be read out via standard homodyne interferometry. Given the observed displacement signal $x(t)$, we can infer the presence of forces $F(t)$ on the sensor using standard linear response theory.

\begin{figure}[t]
\includegraphics[scale=1.1]{figure-opto.pdf}
\caption{Schematic of a single-sided cavity optomechanics search for ultralight DM. Photons reflected off the suspended mirror pick up phases proportional to the mirror's position $x(t)$. This information is then read out via standard interferometry. The ultralight DM produces an essentially monochromatic force with wavelength much longer than the size of the sensor; the presence of this force can then be inferred by reading out the cavity light.}
\label{cavity-opto}
\end{figure}

The classic example of such an optomechanical setup is LIGO \cite{TheLIGOScientific:2014jea}. Here we are describing a simplified version of one of the interferometer arms. The use of mirrors and light is non-essential, however: numerous variants of this idea operate in essentially the same way. Examples include microwave-domain electromechanical systems \cite{reinhardt2016ultralow,tsaturyan2017ultracoherent}, optically-probed levitated objects \cite{yin2013optomechanics,chang2010cavity,hempston2017force,monteiro2017optical}, magnetically-probed and levitated superconducting objects \cite{chan1987superconducting1,chan1987superconducting2,prat2017ultrasensitive}, and even levitated liquids \cite{childress2017cavity}. See \cite{blencowe2004quantum,aspelmeyer2014cavity} for reviews of these types of systems.

The sensitivity of a given sensor is set by noise. In general, the force acting on the sensor is
\begin{eqnarray}
F(t) = F_{sig}(t) + F_{noise}(t)
\end{eqnarray}
where $F_{sig}$ represents the signal we are looking for and $F_{noise}$ is a random force coming from a variety of noise sources. Assuming that the noise is a stationary random variable, the size of the noise is characterized by the noise force power spectral density (PSD) $S_{FF}$, defined by
\begin{eqnarray}
\braket{ F_{noise}(\omega) F_{noise}(\omega')} = S_{FF}(\omega) \delta(\omega+\omega').
\end{eqnarray}
The noise force PSD has units of $\text{force}^2/\text{frequency}$. The interpretation of this quantity is that if one wants to detect a signal force of pure frequency $\omega_{\phi}$ and amplitude $F_*$ at the 1-$\sigma$ level, one needs to continuously monitor the sensor for an integration time $T_{\rm int}$ given by
\begin{eqnarray}
\label{sensitivity}
F_* = \sqrt{S_{FF}(\omega_{\phi})/T_{\rm int}}.
\end{eqnarray}
The smaller the signal one is looking for, the longer integration time $T_{\rm int}$ is needed.\footnote{Here we assumed the signal is coherent for the entire observation time $T_{\rm int}$. For higher-frequency DM candidates, this may not be satisfied. For details of the scaling behavior, see the discussion in section~\ref{bounds}.} Sensitivities are usually quoted as the square root of $S_{FF}$, say in units of $\si{\newton}/\sqrt{\si{\hertz}}$. The appearance of the square root of frequency reflects the Brownian (stationary) character of the noise.

A number of sources contribute to the noise on a sensor. The two key noise sources we will consider in this paper are thermal noise coming from the coupling of the sensor to its ambient environment as well as measurement-added noise. This latter noise is a fundamental limitation imposed by quantum mechanics: the act of measurement itself induces noise. We write
\begin{eqnarray}
S_{FF} = S_{FF}^{T} + S_{FF}^{M}.
\end{eqnarray}
In what follows, we will study the fundamental limits to detection of ultralight DM imposed by thermal and measurement noise. A key assumption here is the elimination of correlated technical noise sources, such as seismic noise. Methods for achieving this are discussed in section \ref{arrays}, see also figure \ref{figure-seismic} in appendix \ref{optoappendix} for some quantitative details.

\subsection{Thermal noise}

Thermal noise here refers to a random Brownian force $F_{T}(t)$ acting on an individual sensor from thermal fluctuations coupling to the environment. In general, this will come from both direct vibrational coupling of the sensor to its support structure as well as residual gas pressure in the sensor. At the frequencies of interest in this paper, these are white (frequency-independent) stationary noise sources. Simple dimensional analysis (see also appendix \ref{optoappendix}) gives
\begin{eqnarray}
\label{noise-thermal}
S_{FF}^{T} = \gamma m_s k T + P A_s \sqrt{m_a k T}.
\end{eqnarray}
Here the first term reflects coupling of the sensor to phonons in its support structure; $\gamma$ is the mechanical damping rate of the sensor and $T$ is the temperature of the environment. The second term comes from residual gas pressure in the environment, where $P$ is the gas pressure, $A_s$ is the surface area of the sensor, and $m_a$ is the mass of an individual gas molecule.

\subsection{Measurement noise and the ``standard quantum limit''}
\label{measurementnoise}

Measurement-added noise comes from the quantum mechanics of the act of measurement itself. The measurement noise PSD can be further decomposed into a pair of terms known as shot noise and backaction noise,
\begin{eqnarray}
S_{FF}^{M} = S_{FF}^{BA} + S_{FF}^{SN}.
\end{eqnarray}
In the cavity model given above, backaction noise corresponds to random fluctuations in the input laser amplitude, which causes a random force on the mirror, which is then transduced into the output light. More fundamentally, backaction noise arises as a consequence of the sensor state being measured. Shot noise corresponds to random fluctuations in the input laser phase which then produce a noisy readout.\footnote{Note that shot noise is not an actual force on the mechanical sensor. However, when we use the output light phase to infer force on the sensor, the shot noise contributes an effective noise force in the sense that it will lead to fluctuations in the light intensity readout that propagates to the force interpretation.}

The backaction and shot noise contributions to the noise PSD are non-trivially dependent on both frequency and readout laser power $P_L$. Backaction tends to dominate at low frequencies while shot noise dominates at high frequencies. Furthermore, as one turns up the laser power, backaction noise increases whereas shot noise decreases. See figure \ref{figure-noisecontribs} for an example of these noise contributions with a typical mechanical sensor.

\begin{figure}[htbp]
    \includegraphics[scale=0.6]{noisecontribs1w.pdf}
    \includegraphics[scale=0.6]{noisecontribs1nw.pdf}
    \includegraphics[scale=0.6]{sqlcontribs.pdf}
    \caption{Top figures: various contributions to the noise power spectral density of a single sensor, with different input laser powers. Here we have plotted sensitivities for a mechanically-coupled sensor of mass $m_s = 1~\si{\milli\gram}$, mechanical frequency $\omega_s = 1~{\rm Hz}$, and mechanical damping coefficient $\gamma = 10^{-6} ~ \si{\hertz}$ in a $1~{\rm cm}$ optical cavity. We assume operation at dilution refrigeration temperatures $T = 10~\si{\milli\kelvin}$. The incident laser power in the top figure is taken as $P_L = 1~\si{\watt}$ and $10^{-9}~\si{\watt}$ in the second figure. The SQL is achieved at the minimum of the total noise curve; the location changes as a function of laser power. Bottom figure: optimal sensitivity achieved by tuning the laser power to achieve the SQL at each signal frequency $\omega_{\phi}$, for the same sensor parameters. We see that for these sensor parameters, thermal noise dominates at low frequencies while measurement-added noise dominates at high frequencies.}
    \label{figure-noisecontribs}
\end{figure}

Given a target signal frequency $\omega_{\phi}$ that one is looking for, the laser power $P_L$ can be tuned to minimize the sum of the backaction and shot noise terms at the frequency $\omega_{\phi}$. This procedure yields the noise at what is known as the ``standard quantum limit'' (SQL), at frequency $\omega_{\phi}$. See figure \ref{figure-noisecontribs} for SQL-level force sensitivities as well as figure~\ref{figure-laserreqs} for laser power requirements for achieving the SQL.

For the cavity optomechanics system given above, the total measurement noise for the sensor operating at SQL at frequency $\omega_{\phi}$ is given by the simple formula (see equation \eqref{SQLFF})
\begin{eqnarray}
\label{SQLFF-main}
S_{FF}^{M,SQL}(\omega_{\phi}) = 2  m_s \sqrt{(\omega_{\phi}^2 - \omega_s^2)^2 + \gamma^2 \omega_s^2}.
\end{eqnarray}
Here $\gamma$ is the same mechanical damping rate appearing in \eqref{noise-thermal}. Note that this equation is true for force signals only at frequency $\omega_{\phi}$. Achieving the SQL is a frequency-dependent statement: one minimizes the measurement added noise at only the specific frequency $\omega_{\phi}$. The noise power at other frequencies $\omega \neq \omega_{\phi}$ is above the SQL. Thus if one wants to achieve the SQL-limited sensitivity over a range of possible signal frequencies, one needs to tune the laser power frequency-by-frequency while scanning over the range. See section \ref{bounds} for a more detailed discussion of search strategies along these lines.

We emphasize that \eqref{SQLFF-main} is true for arbitary signal frequency $\omega_{\phi}$. In particular, this equation holds for signals off resonance with the sensor $\omega_{\phi} \neq \omega_s$. It is clear from this equation that a better force sensitivity would come from not only achieving the SQL but also tuning the sensor to be on-resonance $\omega_{\phi} = \omega_s$, in which case we have
\begin{eqnarray}
\label{SQLFF-reso}
S_{FF}^{M,SQL,res}(\omega_{\phi}) = 2  m_s \gamma \omega_{\phi}.
\end{eqnarray}
Although tuning the laser power to achieve the SQL over a range of frequencies is in principle straightforward, tuning the actual mechanical resonance frequency is more challenging.\footnote{The ADMX \cite{du2018search} and HAYSTAC \cite{zhong2018results} experiments, for example, have implemented a search strategy precisely along these lines. There the resonance frequency of a microwave cavity sensor is tuned to resonantly search for axions over a range of frequencies.} One potentially promising avenue would be to use dynamical stiffening techniques, which allow one to increase the effective mechanical frequency by driving the system with laser backaction \cite{sheard2004observation}.

Environmental thermal noise is an irreducible floor for any measurement. Although one can lower the temperature, gas pressure, and so forth, any experiment will always have a thermal noise floor set by \eqref{noise-thermal}. This is in contrast to measurement-added noise, which can be reduced significantly \emph{below} the SQL by the use of sophisticated techniques like the use of squeezed readout light \cite{caves1981quantum,aasi2013enhanced,purdy2013strong,clark2017sideband} or quantum backaction-evasion \cite{braginsky1980quantum,BRAGINSKY1990251,clerk2008back,hertzberg2010back,khosla2017quantum,danilishin2018new}. In this paper, we will use the SQL level of measurement noise as a benchmark, but we emphasize that further detection reach is achievable using available post-SQL measurement techniques.

\subsection{Detection with an array}
\label{arrays}

All of our considerations above were for a single force sensor. Suppose now that we have an array of $N_{\rm det}$ such sensors. The DM signal is now a correlated force acting across the entire array. This provides two key advantages: increasing the signal-to-noise above any uncorrelated noises, as well as offering some routes to elimination of backgrounds and some correlated noises.

Consider first noise sources which act separately on each sensor. For example, we assume that both thermal noise and measurement-added noise, discussed above, have this property. The achievable force sensitivity with an array of $N_{\rm det}$ sensors is then simply given by $\sqrt{N_{\rm det}}$ times the single-sensor sensitivity, because the noises can be averaged out across the array.

The $\sqrt{N_{\rm det}}$ enhancement comes from assuming that we read out each sensor individually. Further improvement can be made using a coherent readout scheme, in which the same light probes multiple sensors at the same time (note however this will also induce correlated measurement-added noise). In such a scheme, the signal adds at the level of the amplitude, which is then squared to produce the probability we actually read out. In the ultimate case that we use a single light probe to read out the entire array, one can achieve a full $N_{\rm det}$ enhancement--the so-called Heisenberg limit in quantum metrology \cite{giovannetti2011advances}.

Use of an array also serves an extremely important purpose beyond increasing the sensitivity: elimination of backgrounds and technical noise. In particular, as emphasized in \cite{graham2016dark}, the kinds of signal forces here couple to different materials differently (e.g., the $B-L$ force couples to neutron number). This is much like an equivalence principle (EP) violating force. If we construct an array consisting of sensors built from two different materials, we can then make differential measurements between the two types in order to remove backgrounds that act identically on all the sensors. Atom interferometers using two atomic species or torsion balance experiments looking for EP violation use this technique to remove seismic noise, which becomes extremely important at low frequencies. Other correlated noise sources can also be suppressed by doing differential measurements of this type. In the following section, we assume that these correlated noise sources have been sufficiently controlled so that thermal and measurement-added noise are dominant.

\section{Detection reach and search strategy}
\label{bounds}

\begin{figure}
    \includegraphics[scale=0.6]{plot-simplesearch.pdf}
    \includegraphics[scale=0.6]{plot-sqlscan.pdf}
    \includegraphics[scale=0.6]{plot-resoscan.pdf}
    \caption{Sensitivity coverage on the dark matter coupling for various search strategies, using same sensor parameters as in figure \ref{figure-noisecontribs}, using the vector $B-L$ model for illustration. Top: sensitivity curves for the simple search strategy, with a single fixed laser power. Middle: idealized search strategy with sensor tuned to reach the SQL for each target frequency, with fixed mechanical frequency $\omega_s$. The jagged curve represents our binned search strategy described in the text. Bottom: fundamental limit on detection reach, scanning over resonance frequencies $\omega_{\phi} = \omega_s$. In all plots, we only allow for realistic laser powers $P_L \lesssim 1~\si{\watt}$ as described in appendix \ref{optoappendix}. The sensitivities shown are per sensor; with an array they are improved by a factor of $\sqrt{N_{\rm det}}$ and $N_{\rm det}$ for incoherent and coherent readout, respectively. In all plots, coupling strengths in the greyed-out region are already excluded by Eotvos torsion balance experiments \cite{adelberger2009torsion,wagner2012torsion,graham2016dark}.}
    \label{figure-limits}
\end{figure}

In this section, we study the dark matter detection reach of mechanical sensor arrays. Given a specific sensor, environment, and measurement protocol, we have a noise PSD $S_{FF}(\omega)$. For simplicity, we will assume that the entirety of the DM sector consists solely of one ultralight field\footnote{This assumption can be relaxed by simply rescaling $F_0 = \sqrt{\rho_{\rm DM}}$ if the dark matter we are probing is a component of the full DM relic or we have local DM density fluctuations.} and take the force of the form in \eqref{forcegeneral}. We then obtain a bound on the coupling strength using our force sensitivity \eqref{sensitivity}. All told, with $N_{\rm det}$ sensors in the array, our fundamental DM detection reach (i.e. the smallest value of the DM-SM coupling we can detect) is set by
\begin{eqnarray}
\label{sensitivity-coupling-long}
g = \sqrt{\frac{S_{FF}(\omega_{\phi})}{N_{\rm det} N_g^2 F_0^2 T_{\rm tot}}}.
\end{eqnarray}
We assume incoherent readout of the individual sensors in the array; as discussed in section \ref{arrays}, coherent readout enhances the denominator by another power of $N_{\rm det}$.

In \eqref{sensitivity-coupling-long}, the time $T_{\rm tot}$ is an effective total intergration time. In general, we assume that our sensors can be operated for some integration time $T_{\rm int}$ set by technical constraints like laser stability, typically on the timescale of hours. There are then two basic DM regimes. Recall that the DM signal is essentially a coherent, monochromatic force on timescales $T_{\rm coh} \approx 10^6/\omega_{\phi}$ with $\omega_{\phi} = m_{\phi}$ set by the DM mass. For low frequency DM, we have $T_{\rm int} < T_{\rm coh}$, so a complete integration run will see a coherent signal. For higher-frequency DM candidates, $T_{\rm int} > T_{\rm coh}$, so the signal consists of $N_{\rm bins} = T_{\rm int}/T_{\rm coh}$ bins worth of independent signals. These bins can be summed in quadrature, and so we define the effective integration time
\begin{eqnarray}
T_{\rm tot} = \begin{cases} T_{\rm int} & T_{\rm int} < T_{\rm coh} \\ \sqrt{T_{\rm int} T_{\rm coh}} & T_{\rm int} > T_{\rm coh} \end{cases}.
\end{eqnarray}

In the following, we consider three basic search strategies:

{\bf Single shot search}. The simplest ``strategy'' would be to simply assume a fixed laser power and integrate for $T_{\rm int}$. This produces a sensitivity curve which is best at some particular DM mass $m_{\phi}$, i.e. a particular signal frequency $\omega_{\phi}$, namely the frequency at which this laser power corresponds to the SQL. For DM masses away from this particular frequency, the resulting sensitivity curve is non-optimal. Some examples are given in figure \ref{figure-limits}(a).

{\bf SQL scan at fixed mechanical frequency}. To do better, one should scan over dark matter masses by scanning over various values of the laser power, achieving the SQL frequency-by-frequency. Using \eqref{SQLFF-main} in \eqref{sensitivity-coupling-long} and assuming that the dominant thermal noise is from phononic coupling, this corresponds to a sensitivity curve
\begin{eqnarray}
\label{scan-sql}
g^2 =\frac{\gamma m_s k T + 2  m_s \sqrt{(\omega_s^2 - \omega_{\phi}^2)^2 + \gamma^2 \omega_{s}^2}}{N_{\rm det} N_g^2 F_0^2 T_{\rm tot}}.
\end{eqnarray}

In figure \ref{figure-limits}(b), we plot the ideal case in which one achieves the SQL for every frequency; since this is an infinite number of frequencies and we need to integrate for $T_{\rm int}$ at each, this is only a fundamental limit. A more realistic strategy is also plotted in \ref{figure-limits}(b), in which we bin the DM masses by order of magnitude, and tune the laser to a power optimized once for each bin. For the large span of available light DM parameter space below O($10^{-8}$ eV), and an integration time of order one hour per bin, the full spectrum could be scanned in roughly one day. In each case, we assume a maximum achievable laser power of around $1~\si{\watt}$. This means that at sufficiently high DM mass, we are operating at a noise level worse than the SQL (see figure \ref{figure-laserreqs}).

{\bf Resonant SQL scan}. Finally, we consider the ultimate limit of resonant sensors operating at the SQL: a scan in which we vary the mechanical frequency of the sensor to resonance with the DM frequency $\omega_s = \omega_{\phi}$. From \eqref{scan-sql} this yields a sensitivity curve
\begin{eqnarray}
\label{scan-reso}
g^2 =\frac{\gamma m_s (k T + 2  \omega_{\phi})}{N_{\rm det} N_g^2 F_0^2 T_{\rm tot}}.
\end{eqnarray}
As discussed in section \ref{measurementnoise}, this could potentially be achieved (at least over some orders of magnitude in frequency) using dynamical stiffening of a fixed sensor.

Equation \eqref{scan-reso} can be used to gain some basic intuition about the scaling of the DM detection problem. Note that $N_g \sim m_s$, so our smallest detectable DM coupling scales like $g \sim 1/\sqrt{N_{\rm det} m_s} = 1/\sqrt{m_{total}}$. Thus the fastest way to win is simply to build a more massive sensor! As discussed in section \ref{arrays}, the array approach can do better than simple scaling in the total mass if one has coherent readout of the array, in which case we can achieve a scaling $g \sim 1/\sqrt{N_{\rm det}^2 m_s}$. We also see that the overall sensitivity $g \sim \sqrt{\gamma}$, so lower damping rates (i.e. higher $Q$-factor resonators) can significantly increase our sensitivity. Finally, we can observe a simple crossover behavior: for low frequency signals $k T >  \omega_{\phi}$ the thermal noise dominates while for high frequencies $k T <  \omega_{\phi}$, the SQL measurement-added noise dominates. This in particular suggests that backaction-evasion or some other kind of post-SQL strategy will be most beneficial at frequencies $\omega_{\phi} \gtrsim k T \sim 1~{\rm GHz}$ (for dilution refrigeration temperatures $T \sim 10~{\rm mK}$).

\section{Conclusions and outlook}

Quantum sensing technology offers a highly promising route to searches for new physics beyond the standard model. Macroscopic sensors have already been demonstrated as gravitational wave detectors in LIGO, and development of these technologies should continue to push the precision frontier forward for years to come.

In this paper, we have suggested a clear target for sensing using mechanical sensing devices: models of dark matter consisting of very light bosonic fields. If the dark sector contains such a field, it produces a nearly monochromatic force signal on a sensor, precisely the type of signal these sensors are optimized to detect. We have argued that sensors with already-demonstrated sensitivities have non-trivial detection reach in this parameter space. With an array of sensors, one can achieve a rapidly scaling sensitivity to these dark matter candidates. Since these signals also act different on different materials, the use of at least two material species of sensors can be used to make differential measurements, eliminating many systematic and background errors \cite{graham2016dark}.

Beyond these ultra-light models, quantum-limited force sensing devices should be able to search for many other types of new physics. Since the sensors are macroscopic in size, they should have exquisite sensitivity to any potential signal whose strength increases with the mass of the sensor. Different realizations of the optomechanical force sensing paradigm could be used in complementary ways; for example, magnetic sensors could be used to search for dipole-coupled forces. Ultimately, a large array of these sensors could be able to search for heavy dark matter candidates purely through the gravitational interaction \cite{carney2019gravitational}. This paper presents a first example of a detection target reachable with currently demonstrated mechanical sensing technology, and we hope it encourages further exploration of the potential uses of quantum sensing for physics beyond the standard model.

\emph{Acknowledgements.}--We would like to thank Peter Graham, Roni Harnik, Gordan Krnjaic, Konrad Lehnert, Nobuyuki Matsumoto, David Moore, Jon Pratt, Cindy Regal, and Fengwei Yang for discussions. ZL, AH, and YZ would like to thank PITT-PACC, KITP and MIAPP for support from their programs and providing the environment for collaboration during various stages of this work. AH and ZL are supported in part by the NSF under Grant No. PHY1620074 and by the Maryland Center for Fundamental Physics. Y.Z. is supported by U.S. Department of Energy under Award Number DESC0009959. The Joint Quantum Institute is supported by funding from the NSF.

redpajama_set_name: RedPajamaArXiv


text:
Coral Springs Charter Students Learn Dangers of Distracted Driving in Virtual Reality Simulator
December 16, 2018 by Sharon Aron Baron	1 Comment
Coral Springs Charter School students checking out the It Can Wait VR App.
By: Sharon Aron Baron
Students at Coral Springs Charter School received a hands-on lesson through the help of a virtual reality simulator, that distracted driving is deadly.
Around 150 high school students at Coral Springs Charter participated in the AT&T It Can Wait virtual reality (VR) experience, designed to "drive home" the message that distracted driving is never okay. The 3D, immersive VR experience brings students face-to-face with the dangers of smartphone distracted driving.
Research found nearly 9-in-10 people admit to using their smartphone while driving. People are doing much more than just texting from behind the wheel, they're checking email, accessing social media and even snapping photos.
Coral Springs Charter students.
The AT&T It Can Wait VR experience includes a pledge photo wall and a fragment memorial wall representing the lives lost to smartphone distracted driving.were introduced to a new virtual reality app, AT&T's virtual reality It Can Wait App, which teaches the dangers of distracted driving as part of AT&T's It Can Wait campaign. Sophomores, juniors and seniors began by watching a video presentation about the dangers of distracted driving, then sat in a driving simulator wearing virtual reality goggles and a headset.
The presentation ended with students signing a pledge to never text and drive and were told where they could download the app to block notifications while driving. For AT&T customers, DriveMode will also respond to texts on your behalf to let the person know you are behind the wheel and cannot respond.
Ten years ago, AT&T came up with the It Can Wait campaign which educates people across the county not to text and drive and since then, the AT&T's DriveMode app has been downloaded more than 20 million times.
The campaign was first brought to Coral Springs Charter about five years ago with the help of Coral Springs Police Officer Chris Swinson who said that Broward County was number one in 2000-2014 for teen drivers who cause accidents that result in injury or death.
"I wanted to make sure that it was something that was going to be instrumental in providing them with education, something they would enjoy," said Swinson. "Our number one goal is to reduce crashes and to save lives."
Sharon Aron BaronAbout
Sharon Aron Baron is the Editor of Talk Media and writer for Coral Springs Talk. CST was created in 2012 to provide News, Views, and Entertainment for the residents of Coral Springs and the rest of South Florida.
News2020.01.21Crime Update from Coral Springs Police: Latest Incidents Through January 14
News2020.01.21Lucky's Closes South Florida Stores including Coral Springs Location
News2020.01.19Ramblewood Middle School Holds Showcase for 5th Graders
News2020.01.15Mayors' Chess Challenge Heads Back to Coral Springs January 18
Fun Bounce House

redpajama_set_name: RedPajamaCommonCrawl


text:
Q: Проверить создано ли уведомление с заданным id Подскажите как можно проверить создано ли уведомление с заданным id?
Создаю напоминание следующим образом:
NotificationManager nm = (NotificationManager) getSystemService(Context.NOTIFICATION_SERVICE);
Notification.Builder builder = new Notification.Builder(this);
    builder.setContentInten...
Notification n = builder.getNotification();
nm.notify(id, n);

A: Нет, это невозможно. Единственное, что вы можете сделать это отслеживать врукопашную при создании нотификации и как то узнавать когда он убрано.
Я в свое время занимался - безуспешно.

redpajama_set_name: RedPajamaStackExchange


text:
Somerset, KY Obituaries. Preserving Their Memory.
Virtual Memorials
Participating Funeral Homes
Dan Kolczak
SomersetKyObits
Dan Kolczak passed away on April 29, 2020, at Lake Cumberland Regional Hospital in Somerset, Kentucky, after a battle with Parkinson's disease and other health issues. He was born on July 8, 1938, in Hobart, Indiana, the oldest of five children. He graduated from Hobart High School in 1956; that year he joined the Marine Corps, based out of Camp Pendleton, in California. He later attended Purdue University for a year in the architecture program. In 1960 he began work at a series of car dealerships, including Christenson Chevrolet and Lennertz Oldsmobile, in the Hobart/Merrillville area. In 1973, he relocated to Wausau, Wisconsin, to work for the O'Malley dealership, where he was service manager until 1991. In Wausau, he met his wife, Grace, while competing in a bowling league.
Together they purchased Cisco Lake Resort, in Watersmeet, Michigan, embarking on a second career. The resort was a place where Dan had vacationed for years. He had dreamed of running his own business in a landscape he loved. He was an outdoors enthusiast and spent many weekends in the "Northwoods" of Wisconsin and the Upper Peninsula, fishing, hunting, and snowmobiling. Dan and Grace worked side by side, managing a bar and shop, boats, tackle, and 13 cabins, expanding to a year-round season. In 2001, after a decade of long winters, they retired to Phoenix, Arizona, and later settled in Somerset, Kentucky.
Dan was known for his love of dogs. In his lifetime, he had basset hounds, a Cairn terrier, a Rottweiler, and his bulldogs, Rosco and Abby, were his focus and constant companions in retirement. He enjoyed golf and was an avid gardener and memorabilia collector. He appreciated the traditional cuisine of his Polish heritage, was fond of the Old West and Western movies (even amateur acting in one), and relished mafia lore as well as all things Marine Corps. Dan had a great sense of humor, and he loved to rib those around him, especially about politics. He looked forward to his morning coffee klatch at a local restaurant.
In lieu of flowers, donations in his honor can be made to the Michael J. Fox Foundation, Ducks Unlimited (where Dan was a member), or the Semper Fi Fund.
Please share your message of condolence with the family, It will be visible to the public but your email address will not be published.
Comment *Required Field
Copyright 2016.All Rights Reserved.


First Report of Phoma exigua as a Pathogen of Salal (Gaultheria shallon) in British Columbia, Canada. 2005. Shamoun, S.F.; Zhao, S. Plant Disease 89: 685.
Salal (Gaultheria shallon Pursh.) is an ericaceous, evergreen, and rhizomatous shrub that competes for nutrients and moisture with young conifers in low elevation, coastal British Columbia (BC). A survey was conducted on southern Vancouver Island, BC during the summer of 1999 to find fungal pathogens of salal that might serve as biocontrol organisms (3). Phoma exigua Desmaz. (isolate PFC2705) near Parksville, BC proved to be pathogenic on salal. Identification of PFC2705 at the Centraalbureau voor Schimmelcultures was based on morphology and ITS sequences (GenBank Accession No. AY927784). Pathogenicity was determined with 24 salal seedlings (3-month-old) by inoculating with mycelial suspensions (20% v/v) or conidial suspensions (1 Å 10(^6) conidia per ml in 0.5% potato dextrose broth). Inoculated seedlings were placed in plastic bags and incubated in a greenhouse (16 to 23°C with natural light). Plastic bags were removed after 2 days. Initial disease symptoms were observed 2 days after inoculation. Brown, sunken lesions appeared on the surface of young leaves and stems and extended quickly. All seedlings were killed within 14 days. Twelve control plants showed no disease symptoms. With diseased salal leaves incubated at 23°C with 12-h fluorescent light/dark and 100% relative humidity, pycnidia appeared on leaf surfaces within 5 days. Conidia were hyaline, ellipsoid, one-celled, sometimes two- to three-celled, 2.5 to 3.8 Å 5 to 12.5 µm, with a rounded base; the colony was gray or dark gray on potato dextrose agar after 5 to 7 days. Reisolation from the inoculated diseased leaves produced a mycelial colony that shared the same growth and morphological characteristics as the initial isolate. Phyllosticta gaultheriae Ellis & Everh., a widely reported foliar pathogen of salal, is distinct morphologically from P. exigua (1). To our knowledge, this is the first report of P. exigua as a pathogen of salal in Canada (2). A voucher specimen has been deposited at the Pacific Forestry Center Herbarium (DAVFP No. 28735).


From Picasso's paintings one can judge that he does not have some kind of his own style, but nevertheless his paintings almost immediately become recognizable and stand out among the rest. As for the paintings made by the master at the last period, it can be seen that he is returning to the same topics.
Cloth "Kiss" is saturated with the versatility of technology. The artist worked non-uniformly on this picture, sometimes diligent strokes are seen, it seemed to be calculated to the millimeter, sometimes hasty strokes are visible. And due to the fact that Picasso's vision has already deteriorated markedly, he had to make some adjustments every now and then.
The picture was made as an ode to the all-conquering kiss and a real surge of feelings, to enhance the emotional background, the master performed it to some extent indifferent. This is evident in the facial expressions and emotions of men. First, it is clearly visible on the canvas that a man no longer merges in a passionate impulse with a woman, his eyes no longer look at her, but somewhere else. Thus, a certain distance arises between them, both physically and emotionally, it is on this fine point of understanding that the main emphasis is placed.
This canvas, one of the two hundred paintings of the master, where he tries to reveal the theme of emotions in the modern world. As we can see, the separation of figures and even their deformation continues, but nevertheless, the work does not have such aggressive coloring as can be found in earlier works.
Despite this, the picture directly blows revolutionism, and in many respects just such a series of pictures could change the attitude of all mankind not only to forms and figures, but also to the space as a whole. This is undoubtedly one of the merits of a great artist, who was able to change several generations of future artists with his work.


text:
Location Remote Zip Code
(Miles) 5 Miles 10 Miles 20 Miles 50 Miles 100 Miles 200 Miles
Fully Remote Optional Work from Home Temporary Remote
Apollo Freight - LAX - Los Angeles, CA, 90045
Apollo Freight - MIA - Doral, FL, 33178
Apollo Freight - SFO - South San Francisco, CA, 94080
Final Mile Logistics - Atlanta, GA, 30349
Independent Cargo Screening - Los Angeles, CA, 90045
Independent Cargo Screening - SFO - San Francisco, CA, 94128
Jupiter Airlines - Los Angeles, CA, 90045
MAC Cargo Handling (MAC -2) - San Francisco, CA, 94128
MAC Cargo Handling (MAC) - San Francisco, CA, 94128
MAC Cargo Handling (SAN JOSE) - San Jose, CA, 95110
MercFuel - TX - Houston, TX, 77002
MercFuel, Inc - Torrance, CA, 90505
Mercury Air Cargo (215) - Los Angeles, CA, 90045
Mercury Air Cargo (AVION) - Los Angeles, CA, 90045
Mercury Air Cargo (JAL) - Los Angeles, CA, 90045
Mercury Air Cargo (LAX3) - Los Angeles, CA, 90045
Mercury Air Group - Torrance, CA, 90505
Mercury Americas - Doral, FL, 33178
Show Selected Filters
Admin - Clerical
Distribution - Shipping
Government - Federal
Hospitality - Hotel
Installation - Maint - Repair
Legal Admin
Media - Journalism - Newspaper
Nonprofit - Social Services
Purchasing - Procurement
QA - Quality Control
Restaurant - Food Service
Skilled Labor - Trades
Strategy - Planning
Can't find what you are looking for? Upload your resume and Join the Talent Community for MERCURY AIR GROUP INC!
The purpose of this Candidate Privacy Notice is to inform individuals who inquire about and/or apply for employment with Mercury Air Group Inc., MercFuel, Inc., Independent Cargo Security Screening, Jupiter Airline Service, Inc., Apollo Freight Inc., and MAC Cargo Handling ("us," "we," or the Company") of the categories of personal information we collect from candidates and the purposes for which we use such personal information. This notice is intended to comply with all applicable laws, such as the California Consumer Privacy Act. If any provision below conflicts with a legal requirement, then the Company will comply with the applicable law.
Collection and Use of Candidate Personal Information
The Company collects, uses, and discloses Personal Information about job candidates for business purposes only and consistent with applicable laws. Where The Company discloses Personal Information to third parties, it does so for the same business purposes described below and, where appropriate, requires that such parties maintain its confidentiality and maintain appropriate systems and processes to ensure its security and protection.
We may collect and use the following categories of Personal Information about you to when you inquire about and/or apply for employment at The Company:
How we use it
Contact information: such as your name, home and work address, personal and work telephone numbers, personal and work email addresses.
We will use this information to open and maintain candidate records and communicate with you regarding your interest in a job opportunity with us, your application for employment, or updates on your candidacy.
Job-related information and qualifications: such as position applied for, previous job roles, education, awards, qualifications, certificates, licenses, financial relationships, compensation and salary information, and any other information you choose to provide in your resumes and/or applications.
We will use this information to assess your suitability for a position at The Company and conflict of interest reporting.
National identification information: such as your country of birth or the country where you are a registered national or citizen, and any visa or other right to work.
We will use this information to determine your eligibility to work and fulfill our obligations to relevant government authorities.
Travel-related records: frequent flyer numbers, itineraries, flight, train, rental car, car service, hotel or other similar information.
We will use this information to arrange or reimburse travel where you require travel to interview with us or in connection with your candidacy for employment, contact you during travel, as necessary with travel service providers, or in an emergency situation.
Results of background checks and screening: such as education verification and criminal records and driver's license checks.
We will use this to determine your suitability for certain job roles (to the extent permitted or required by law).
References: such as opinions and comments of any previous employers.
We will use this to determine your suitability for certain job roles.
Equal opportunities monitoring information: such as your ethnicity, religion and sexual orientation.
We will use this to conduct equal opportunity and diversity monitoring where permitted or required by law.
Additional Purposes for Using Personal Information
In addition to the uses set forth above, The Company may use and share the categories of Personal Information identified:
To comply with applicable legal and regulatory requests and obligations (including investigations).
To establish or defend legal claims and allegations.
For security or the prevention, detection, or investigation of fraud, suspected or actual illegal activity, or other misconduct.
To seek advice from lawyers, auditors and other professional advisers.
If you have any questions about this Notice, or to request this Notice in another format, please contact the Human Resources Department at (310)215-5728.
By selecting "Join", you are agreeing to our Privacy Policy.
Join the Talent Community for MERCURY AIR GROUP INC!


text:
Outgoing Rep. Carolyn Maloney under investigation for soliciting 2016 Met Gala tickets
PoliticsNovember 22, 2022
Rep. Carolyn Maloney is under investigation by the House Ethics Committee for requesting tickets to the swanky Met Gala in 2016, a move that potentially runs afoul of chamber rules and federal law.
The panel revealed that the outgoing member, whose three-decade tenure will soon come to an end after losing her primary to House Judiciary Committee Chairman Jerrold Nadler following redistricting, solicited the event tickets after not receiving an invite. She is currently the chair of the House Committee on Oversight and Reform.
The Office of Congressional Ethics wrote to the House Ethics Committee in June that "there is substantial reason to believe that she solicited or accepted impermissible gifts associated with her attendance at the Met Gala." The committee, which revealed the details of the investigation this week, said it was extending its probe but that it "does not itself indicate that any violation has occurred."
Mrs. Maloney's attorney wrote to the panel in July denying any wrongdoing, saying that her attendance was "appropriate" and that she "complied with all applicable House gift rules, laws, and regulations."
Internal emails released by the committee showed that Mrs. Maloney directly and indirectly asked for an invite to the star-studded charity event that runs $35,000 per ticket.
Since 2003, the powerful New York Democrat has secured millions in federal funding for the Met. She ultimately went in 2016 and the years that followed after her outreach efforts.
Lawmakers are not allowed to request free access to such events but are permitted to attend if invited.
"I received a call this past week from Carolyn. She is unhappy to say the least that she is not receiving an invitation to the Party of the Year," Emily Rafferty, former president of the Met, wrote in an April 2016 email to the then-director and CEO of the museum. "She went on about how much she does for the Met, always responsive when you call, and proactive re the institute's concerns in DC. She has been coming to the party for years, and it is the one thing she cares about."
Death of Tyre Nichols revives calls in Congress for policing reforms


text:
Express Bus Service to New York City
Due to Hillsborough's proximity to New York City and Philadelphia, there are many commuter options to get into each city. Hillsborough has a bus service operated by Coach USA that leaves from the Hillsborough Promenade. For a full listing of times and ticket information, please visit the Suburban Transit website or call (732) 249-1100. Parking for the commuter bus is free, with 250 spots set aside, marked by green paint and "Park and Ride" signs.
Hillsborough, NJ to New York, NY Bus Service Schedule
Somerset County Bus Services
Somerset County operates three different public transit bus lines – SCOOT, DASH and CAT. These buses can be used by anyone for work, school, errands or recreation.
Somerset County buses operate Monday through Friday. No appointment is necessary to ride. The fare is $2.00 per trip, and transfer tickets can be purchased from the driver for $0.50.
SCOOT-R1 Schedule
SCOOT 858, 859, 860 Schedule
SCOOT 858, 859, 860 Modified Schedule
SCOOT-R1 Modified Schedule
Local train stations that provide access to both cities through NJTransit. There are stations in Somerville and Raritan, which provide access to the Raritan Valley Line. There are also stations in New Brunswick and Princeton Junction that provide access to the Northeast Corridor. New Brunswick is an express train stop. Information for these stations is available on https://www.njtransit.com.
NJ Transit Train Schedules
Raritan Valley Rail CoalitionAdvocating for the 'One Seat' Ride for Union, Hunterdon, Somerset and Middlesex Counties.
RideWise Sustainable Travel
RideWise Inc. is an independent non-profit organization that is dedicated to promoting and advocating for transportation choices that are efficient, safe, and sustainable.
RideWise engages with large and small employers, local government, state agencies, school districts, and other non-profits to advocate for travel options that are good for business, good for the environment, and good for communities. RideWise achieves this through programming that focuses on pedestrian safety, public transit, biking and ridesharing.


text:
Q: HTML onclick argument I would like to know what the return false statement does in this excerpt of HTML code. I don't understand why it isn't just the submit call. I would especially like to know WHERE false is being returned to. The excerpt is from:
http://www.autozone.com/autozone/storelocator/storeLocatorMain.jsp
<\a class="actionButton orange"
    onclick="document.storeLocatorForm.submit();return false;">
 <\span>SUBMIT<\/span>
<\/a>

I know it must have a simple answer but I haven't had much success googling it. I always get people asking much more complicated questions. I took the HTML and JavaScript tutorial at w3schools but it's been a while so I don't really remember how this fits in.

A: Returning false in an event handler prevents the event from triggering the "default behavior" of the underlying control.
It's common to see this on links:
<a href='/something/useful' onClick='jsMagic();return false;'>
  link text
</a>

The on-click executes your function and then also prevents the user from navigating to /something/useful.

A: There is a form somewhere on the page called StoreLocatorForm. When the link is clicked, it submits the form data and processes it however the function is programed to.
THe return:false; part is to keep it from not submitting before you actually click the link.


text:
NASDAQ:UAL
United Airlines - UAL Stock Forecast, Price & News
Adding United Airlines Holdings, Inc.
2.60 million shs
11.13 million shs
United Airlines MarketRank™ Forecast
8.0% Upside
5.75% of Shares Sold Short
Transportation Sector
101st out of 125 stocks
Air Transportation, Scheduled Industry
United Airlines has received a consensus rating of Hold. The company's average rating score is 2.37, and is based on 10 buy ratings, 6 hold ratings, and 3 sell ratings.
According to analysts' consensus price target of $52.56, United Airlines has a forecasted upside of 8.0% from its current price of $48.67.
United Airlines has only been the subject of 4 research reports in the past 90 days.
5.75% of the outstanding shares of United Airlines have been sold short.
United Airlines has a short interest ratio ("days to cover") of 2.2, which is generally considered an acceptable ratio of short interest to trading volume.
Short interest in United Airlines has recently increased by 5.15%, indicating that investor sentiment is decreasing significantly.
United Airlines does not currently pay a dividend.
United Airlines does not have a long track record of dividend growth.
United Airlines has received a -79.11% net impact score from Upright. The largest negative impact of United Airlines in category "GHG emissions" seems to be driven mostly by its "Economy air travel on international flights", "Economy air travel on domestic flights", and "Air freight transport services" products. See details.
The Environmental Impact score for United Airlines is -5.87.
United Airlines has a news sentiment score of 0.69. This score is calculated as an average of sentiment of articles about the company over the last seven days and ranges from 2 (good news) to -2 (bad news). This is a higher news sentiment than the 0.52 average news sentiment score of Transportation companies.
MarketBeat has tracked 34 news articles for United Airlines this week, compared to 20 articles on an average week.
105 people have searched for UAL on MarketBeat in the last 30 days. This is an increase of 128% compared to the previous 30 days.
23 people have added United Airlines to their MarketBeat watchlist in the last 30 days. This is an increase of 5% compared to the previous 30 days.
In the past three months, United Airlines insiders have bought more of their company's stock than they have sold. Specifically, they have bought $79,440.00 in company stock and sold $0.00 in company stock.
Only 0.37% of the stock of United Airlines is held by insiders.
59.73% of the stock of United Airlines is held by institutions. High institutional ownership can be a signal of strong market trust in this company.
Earnings for United Airlines are expected to grow by 8.46% in the coming year, from $8.39 to $9.10 per share.
The P/E ratio of United Airlines is 22.43, which means that it is trading at a less expensive P/E ratio than the market average P/E ratio of about 130.52.
The P/E ratio of United Airlines is 22.43, which means that it is trading at a more expensive P/E ratio than the Transportation sector average P/E ratio of about 22.26.
United Airlines has a P/B Ratio of 2.31. P/B Ratios below 3 indicates that a company is reasonably valued with respect to its assets and liabilities.
About United Airlines (NASDAQ:UAL) Stock
United Airlines Holdings, Inc. operates as a holding company with United Airlines, Inc. as its principal, wholly-owned subsidiary. It transports people and cargo throughout North America and to destinations in Asia, Europe, Africa, the Pacific, the Middle East, and Latin America. The firm, through United and its regional carriers, operates across six continents, with hubs at Newark Liberty International Airport (Newark), Chicago O'Hare International Airport (Chicago O'Hare), Denver International Airport (Denver), George Bush Intercontinental Airport (Houston Bush), Los Angeles International Airport (LAX), A.B. Won Pat International Airport (Guam), San Francisco International Airport (SFO), and Washington Dulles International Airport (Washington Dulles). The company was founded on December 30, 1968, and is headquartered in Chicago, IL.
Receive UAL Stock News and Ratings via Email
Sign-up to receive the latest news and ratings for United Airlines and its competitors with MarketBeat's FREE daily newsletter.
UAL Stock News Headlines
February 1, 2023 | marketbeat.com
Boeing Produces the Last 747 Ever, What's Next? (UAL)
Boeing's famous 747 will still be flying, but no longer be produced as the company shifts towards more fuel-efficient alternatives.
January 18, 2023 | marketbeat.com
Can Alaska Air Continue Soaring Above The Airline Industry? (UAL)
Alaska Air soared 11% last week on news that the company plans to recruit 3,500 new employees in a variety of roles and functions.
United Airlines Soars Ahead of Earnings…Time to Deplane?
Sentiment around airline stocks has taken a dramatic turn in the new year - and United Airlines is leading the surge so far.
Is Delta On Track To Hit A Fresh 52-Week High? (UAL)
Delta reported a massive 572% increase in its EPS, with revenue up 42% to boot. What does this mean for its stock in the year ahead?
General Electric Stock, The Sum of All Parts Strategy is Paying Off (UAL)
Industrial power solutions company General Electric Company (NYSE: GE) stock has climbed over 20% in 2023 as positive sentiment for its restructuring gains
Will Oil Stocks Once Again Lead The Market As Inflation Eases? (UAL)
Better-than-expected inflation data, and optimism about China, sent oil stocks higher Thursday. The S&P large-cap energy sector was the biggest gainer.
Southwest, United and Delta add flights to Phoenix for Super Bowl travelers
Analysts Set United Airlines Holdings, Inc. (NASDAQ:UAL) Target Price at $52.56
United Parcel (UPS) Q4 Earnings Beat Estimates, Revenues Lag
Green Plains flies high on jet fuel JV with United Airlines
January 31, 2023 | ca.finance.yahoo.com
United Airlines announces JV to develop sustainable fuel using ethanol
United, Tallgrass, and Green Plains Form Joint Venture to Develop New Sustainable Aviation Fuel Technology Using Ethanol
United Airlines technicians vote to ratify new contract
UPDATE 1-United Airlines technicians vote to ratify new contract
United Airlines Has a Boarding Problem Designed to Punish Budget Flyers
United Airlines Has a Problem (Blame Greed)
Looking for a Fast-paced Momentum Stock at a Bargain? Consider United (UAL)
Q1 2023 Earnings Forecast for United Airlines Holdings, Inc. Issued By Jefferies Financial Group (NASDAQ:UAL)
United Airlines plans to hire 2,500 pilots in 2023
American Airlines (AAL) Q4 Earnings Beat, Air Travel Surges
What United Airlines Holdings, Inc.'s (NASDAQ:UAL) ROE Can Tell Us
United Aviate Academy graduates first class of new pilots
United Airlines Holdings Inc. stock outperforms competitors on strong trading day
United Airline's pilot training academy in West Valley graduates first class
United Celebrates Historic First Graduating Class of Flight Academy Pilots
UAL Company Calendar
Air transportation, scheduled
www.united.com
19 Analysts
J. Scott Kirby
Brett J. Hart
Torbjorn J. Enqvist
Chief Operations Officer & Executive VP
Gerry Laderman
Linda P. Jojo
NYSE:LUV
NYSE:DAL
Alaska Air Group
NYSE:ALK
NYSE:ZNH
NASDAQ:RYAAY
AE Wealth Management LLC
Kestra Advisory Services LLC
Friedenthal Financial
Twin Capital Management Inc.
Balentine LLC
UAL Stock - Frequently Asked Questions
Should I buy or sell United Airlines stock right now?
19 Wall Street equities research analysts have issued "buy," "hold," and "sell" ratings for United Airlines in the last twelve months. There are currently 3 sell ratings, 6 hold ratings and 10 buy ratings for the stock. The consensus among Wall Street equities research analysts is that investors should "hold" UAL shares. A hold rating indicates that analysts believe investors should maintain any existing positions they have in UAL, but not buy additional shares or sell existing shares.
View UAL analyst ratings or view top-rated stocks.
What is United Airlines' stock price forecast for 2023?
19 brokerages have issued 12 month target prices for United Airlines' shares. Their UAL share price forecasts range from $33.00 to $86.50. On average, they predict the company's stock price to reach $52.56 in the next year. This suggests a possible upside of 7.4% from the stock's current price.
View analysts price targets for UAL or view top-rated stocks among Wall Street analysts.
How have UAL shares performed in 2023?
United Airlines' stock was trading at $37.70 at the beginning of 2023. Since then, UAL stock has increased by 29.9% and is now trading at $48.96.
When is United Airlines' next earnings date?
The company is scheduled to release its next quarterly earnings announcement on Wednesday, April 19th 2023.
View our UAL earnings forecast.
How were United Airlines' earnings last quarter?
United Airlines Holdings, Inc. (NASDAQ:UAL) announced its quarterly earnings data on Tuesday, January, 17th. The transportation company reported $2.46 earnings per share (EPS) for the quarter, topping analysts' consensus estimates of $2.07 by $0.39. The transportation company earned $12.40 billion during the quarter, compared to analyst estimates of $12.23 billion. United Airlines had a trailing twelve-month return on equity of 17.15% and a net margin of 1.64%. United Airlines's quarterly revenue was up 51.4% compared to the same quarter last year. During the same period in the previous year, the company posted ($1.60) EPS.
Read the conference call transcript.
What guidance has United Airlines issued on next quarter's earnings?
United Airlines updated its first quarter 2023 earnings guidance on Tuesday, January, 17th. The company provided earnings per share (EPS) guidance of $0.50-$1.00 for the period, compared to the consensus estimate of $0.25. The company issued revenue guidance of $11.35 billion-$11.35 billion, compared to the consensus revenue estimate of $11.32 billion.
What is Scott Kirby's approval rating as United Airlines' CEO?
235 employees have rated United Airlines Chief Executive Officer Scott Kirby on Glassdoor.com. Scott Kirby has an approval rating of 79% among the company's employees.
What other stocks do shareholders of United Airlines own?
Based on aggregate information from My MarketBeat watchlists, some companies that other United Airlines investors own include Delta Air Lines (DAL), American Airlines Group (AAL), Puma Biotechnology (PBYI), Boeing (BA), BioMarin Pharmaceutical (BMRN), NVIDIA (NVDA), Walt Disney (DIS), Incyte (INCY), (MDVN) (MDVN) and Tesla (TSLA).
What is United Airlines' stock symbol?
United Airlines trades on the NASDAQ under the ticker symbol "UAL."
Who are United Airlines' major shareholders?
United Airlines' stock is owned by many different retail and institutional investors. Top institutional investors include Douglas Lane & Associates LLC (0.14%), Strs Ohio (0.12%), New York State Teachers Retirement System (0.11%), New York State Common Retirement Fund (0.11%), National Bank of Canada FI (0.06%) and Gateway Investment Advisers LLC (0.06%). Insiders that own company stock include Andrew P Nocella, Brett J Hart, Chris Kenny, Edward Shapiro, Gerald Laderman, Gregory L Hart, J Scott Kirby, James A C Kennedy, Jonathan Roitman, Kate Gebo, Linda P Jojo, Michele J Hooper, Oscar Munoz and Torbjorn J Enqvist.
How do I buy shares of United Airlines?
Shares of UAL stock can be purchased through any online brokerage account. Popular online brokerages with access to the U.S. stock market include WeBull, Vanguard Brokerage Services, TD Ameritrade, E*TRADE, Robinhood, Fidelity, and Charles Schwab.
What is United Airlines' stock price today?
One share of UAL stock can currently be purchased for approximately $48.96.
How much money does United Airlines make?
United Airlines (NASDAQ:UAL) has a market capitalization of $16.00 billion and generates $44.96 billion in revenue each year. The transportation company earns $737 million in net income (profit) each year or $2.17 on an earnings per share basis.
How many employees does United Airlines have?
The company employs 84,100 workers across the globe.
Does United Airlines have any subsidiaries?
The following companies are subsidiares of United Airlines: CALFINCO Inc., Continental Airlines Inc., Mileage Plus Inc., UABSPL Holdings Inc., United Airlines Ventures Ltd., United Atlantic LP, Air Micronesia LLC., Air Wis Services Inc., Air Wisconsin Inc., CAL Cargo S.A. de C.V., CALFINCO Caymans Ltd., Century Casualty Company, Continental Airlines Domain Name Limited, Continental Airlines Finance Trust II, Continental Airlines Fuel Purchasing Group LLC, Continental Airlines Purchasing Holdings LLC, Continental Airlines Purchasing Services LLC, Continental Airlines de Mexico S.A, Continental Express Inc., Covia LLC, Domicile Management Services Inc., MPH I Inc., Mileage Plus Holdings LLC, Mileage Plus Intellectual Property Assets Aggregator Ltd., Mileage Plus Intellectual Property Assets GP S.à r.l., Mileage Plus Intellectual Property Assets Holdings MIP Ltd, Mileage Plus Intellectual Property Assets Holdings UIP Ltd, Mileage Plus Intellectual Property Assets Ltd., Mileage Plus Intellectual Property Assets Lux 1 SCS, Mileage Plus Intellectual Property Assets Lux 2 SCS, Mileage Plus Intellectual Property Assets SPV Partner Ltd., Mileage Plus Marketing Inc., MyPoints, UAL Benefits Management Inc., United Airlines Business Services Private Limited, United Airlines Inc., United Atlantic B.V., United Atlantic Corporate Center C.V., United Atlantic Corporate LLC, United Atlantic Services C.V., United Atlantic Services LLC, United Aviation Fuels Corporation, United Ground Express Inc., United Travel Services LLC, United Vacations Inc., Westwind School of Aeronautics, and Westwind School of Aeronautics of Phoenix LLC.
How can I contact United Airlines?
United Airlines' mailing address is 233 SOUTH WACKER DRIVE, CHICAGO IL, 60606. The official website for the company is www.united.com. The transportation company can be reached via phone at (872) 825-4000, via email at investorrelations@united.com, or via fax at 847-700-2214.
This page (NASDAQ:UAL) was last updated on 2/1/2023 by MarketBeat.com Staff


text:
Q: SharePoint 2010 Calendar overlay feed from Exchange problems So SharePoint 2010 has this handy new calendar overlays feature which allows you to render up 10 other calendars inside of one master SharePoint calendar. There is an option to pull from Exchange calendar as well. The only parameters it provides is the OWA url and the OWA web service url.
We use Exchange online and it isn't working whatsoever. I don't see any fields that store the credential information to connect to Exchange anywhere, and we get back a message saying that there is no email address configured in the profile (there really is). Documentation on the web is sparse for this. My questions are:

*

*Is there a place where I can set credentials for this connection (if so where)?

*Can I have it link to shared group calendars in Exchange not just an individuals calendar?

*Will this work with MS hosted Exchange online?

A: I eliminated the "no email address configured" message by adding my exchange email to my SharePoint user profile.
It should pass the current user's credentials (used to connect to SharePoint) through the source services.
So far, I've been unable to connect to shared calendars in Exchange successfully.


Numbers to know: Which Cleveland Indians first-half statistics are sustainable?
CLEVELAND, Ohio -- It's the middle of July and the Indians are focusing on expanding their division lead, rather than calculating ways to claw back into the race for the second wild-card spot.
The last few years, the latter scenario has more accurately represented the club's situation. That's not the case in 2016, thanks to a 52-36 mark at the All-Star break.
How have the Indians reached this point? Stout starting pitching and a balanced, productive lineup.
Can those trends continue in the second half? Let's examine some key numbers from the first three months of the season and consider whether each performance is sustainable.
Santana has been perhaps the Indians' most productive hitter, despite his -- for whatever reason -- polarizing reputation with many fans. His 20 home runs are already more than the team-leading 19 he slugged all of last season. He's the first Tribe player to hit at least 20 before the break since Grady Sizemore clubbed 23 in 2008.
Santana's OPS stands at .848, well above the league average (.742) and a bit better than his career high for a full season (.832 in 2013).
His .497 slugging percentage ranks 23rd in the American League and trumps any such mark from his past seasons. His batting average (.253) is much less unsightly than it was the last two years at the break (.221, .207). He has walked (50 times) nearly as often as he has struck out (54 times). Overall, Santana pieced together a strong first half. During his career, Santana has fared much better after the All-Star break (.825 OPS vs. .787 OPS).
Naquin has socked all nine of his home runs in his last 96 at-bats, a McGwire-esque rate. Since Marlon Byrd flew the coop, Naquin has posted a .708 slugging percentage and a 1.103 OPS. Those numbers are likely not sustainable, but the rookie has outperformed every offensive expectation to this point.
The center fielder totaled 22 home runs in 1,366 minor-league at-bats. He logged a .417 slugging percentage in parts of five seasons in the minors.
It isn't just the long ball, though. Naquin has also notched seven doubles and five triples in 159 at-bats with the Tribe.
Pitcher wins don't mean what we thought they once did. So much is out of a hurler's control that the statistic doesn't always offer much insight into how one is performing. Still, Tomlin has racked up nine wins already, and he has issued only 11 free passes. That's remarkable ... until we scan his numbers from last season and realize that he totaled seven wins in 10 starts, and allowed only eight walks.
Tomlin leads the AL with a walk rate of 1.0 per nine innings. Last season, it was 1.1 per nine. In 2014, despite a 4.76 ERA, he walked only 1.2 per nine.
Tomlin isn't quite up to Clayton Kershaw's level, though. The Dodgers southpaw stands at 11-2, with only nine walks (and 145 strikeouts) in 121 innings.
Here are Davis' season stolen-base totals since 2008: 29, 41, 50, 34, 46, 45, 36, 18. Perhaps last year's total of 18 is an anomaly, rather than Davis' speed has declined. After all, he is again on pace to sprint past 40.
Davis has only been caught stealing three times. He even swiped third base on Saturday on a toss from the catcher to the pitcher.
Davis is confident he can stave off athletic decline. Father Time excuses no one, of course. So, just how effective can he be on the base paths?
Gomes has been both unfortunate and unproductive at the plate, and the combination has created some wretched numbers. During his Silver Slugger season two years ago, he posted a .278/.313/.472 slash line. His current clip stands at .166/.201/.315. Gomes' on-base percentage is even lower than every qualified hitter's batting average.
Gomes' walk and strikeout rates haven't strayed too far from their norms. His BABIP (batting average on balls in play) of .193 suggests he is due for some better luck. There's never a guarantee that will happen, though, and Gomes certainly isn't brimming with confidence while in the batter's box.
Until his final start of the first half, Salazar led the AL in ERA. His numbers (2.75 ERA, 10.2 strikeouts per nine, .203 average against) are all All-Star worthy. Another statistic jumps off the page: Salazar has stranded 82.6 percent of the runners who have reached base against him. The right-hander has often toiled with danger this season, with a rate of 3.96 walks per nine, the third-highest mark in the AL.


Our iOS app has landed. It's free to download now in the App Store and it works on Phones, Pods and Pads.
It has push notifications, an inline image viewer, and all the features you'd expect from an IRCCloud mobile app.
Like the Android app, it fully syncs with IRCCloud on the web—all your channels and messages are available, and the app will keep up to date with everything you've read.
The app runs in portrait only on iPhones and iPods, and landscape only on iPads. Alternate orientations will be available in future updates.
Note: You'll need an existing IRCCloud.com account to use the app.
Join the #feedback channel on IRC to give us feedback on the app, and report any problems. As always, our Chief International Mobile Strategy Response Director, Sam "Man of" Steele, will be standing by to respond to any questions or problems you might have.


2019 Hyundai Elantra SE (Model#48412F45). $199 per month, 36 month lease through Hyundai Motor Finance (HMF) with approved credit. $2,428 cash or trade due at signing. No security deposit required. Excludes, tax, title, and license. 12,000 miles per year, $0.20 per mile thereafter. All offers with approved credit.
2019 Hyundai Sonata SE (Model#284H2F4P). $219 per month, 36 month lease through Hyundai Motor Finance (HMF) with approved credit. $2,399 cash or trade due at signing. No security deposit required. Excludes, tax, title, and license. 12,000 miles per year, $0.20 per mile thereafter. All offers with approved credit.
When drivers throughout the greater Atlanta area seek the right vehicle for their future, they'll find an incredible amount advantages within the new Hyundai lineup. Each of the vehicles of the Hyundai lineup offer immense advantages to drivers of all kinds, but here at Rick Case Hyundai Duluth, we're proud to be able to offer these outstanding vehicles, as well as many other advantages. With our great array of new Hyundai specials, seen on this page, drivers can count on getting a great deal on the vehicle of the future.
Each of the specials seen on this page work to drive down the cost of the purchase price, or set competitive lease terms for drivers to enjoy. And while the new specials are poised to enhance your satisfaction in the search for your next car, the specials seen on this page are not going to be around forever and are always subject to change, so if you see one that appeals to you, come and take advantage of it at our location in Duluth, GA.


The sporty and noble LEKI Ladies' Trekking Pole 'Cressida' combines comfort and security.
Smooth length adjustment from 65 – 125 cm by Speed Lock the first and so far only TÜV certified external locking system.
Speed Lock adjustment means you can adjust your pole length quickly and securely even while wearing thick gloves in rain, ice and snow with one touch.
The Cressida Speed Lock features the forward-looking "Aergon" Lady Grip, which stands out by its striking lightness. The large ergonomic support area of the "Aergon" grip with the integrated "Grip Zone" offers a variety of gripping options and secure hold.
Ensure the adjustmewnt system remains locked during use.


One redeeming fact about the USSR was that, in order to maintain the fiction of fifteen free republics and dozens of autonomous regions, the Communist authorities saved a number of languages from extinction by providing alphabets, grammars, education and media services, and promoted poetry and fiction by minority writers, who, if they behaved themselves, could become famous and rich from translation into Russian. To demonstrate the lack of Russian chauvinism in the USSR, they were given more rein than their Russian colleagues. As in every superannuated empire from the Romans to the Soviets, while the heartwood rotted, the remotest branches of the tree still sprouted green leaves. Just as Naipaul, Walcott and Soyinka write English literature more vigorously than, say, Anita Brookner, so Russians found more stimulation in the Abkhaz Fazil Iskander or the Kirgiz Chingiz Aitmatov than in the big names of Moscow. Some non-Russians, like Iskander, never even bothered to write in their native language; others, like Aitmatov, began in Kirgiz but switched to Russian to save themselves the trouble of translation. Why write for a few hundred thousand readers when there is a market for millions? Their non-Russian material and their outlook, however, remained excitingly exotic.


text:
Chris Pratt, Zac Efron and the Cast of 'Riverdale' Set to Appear at 2018 Teen Choice Awards (Exclusive)
By Scott Baumgartner 12:03 PM PDT, August 7, 2018
The star-studded guest list for the 2018 Teen Choice Awards has been released, offering fans some idea of the upcoming night honoring the year's best entertainment and most inspiring individuals.
Among those set to grace The Forum in L.A. are Zac Efron, Louis Tomlinson and Anna Kendrick, as well as Jurassic World: Fallen Kingdom stars Chris Pratt and Bryce Dallas Howard. Also set to appear is the cast of Riverdale, including Cole Sprouse, Lili Reinhart, Vanessa Morgan and Madelaine Petsch, ET has exclusively learned.
We also know that Bebe Rexha will be taking the stage to deliver her new single "I'm a Mess." And Evvie McKinney, winner of season one of The Four: Battle for Stardom, will be performing her debut single "How Do You Feel."
Although the final nominees and presenters are still being kept under wraps, we do know Nick Cannon and Lele Pons will be sharing hosting duties at the annual awards show.
Last year, Bruno Mars accepted the prestigious Visionary Award for "innovation and contributions to contemporary music." Meanwhile, Vanessa Hudgens was given the See Her Award recognizing her for working toward "seeing a change" for women in the media.
Also honored at last year's festivities were Maroon 5, who accepted the Decade Award, recognizing their musical contribution over the last 10 years. And accepting the highest honor of the night, the Ultimate Choice Award, was Miley Cyrus, who unfortunately couldn't be on hand for the ceremony due to scheduling conflicts.
Nevertheless, Cyrus hopped on Instagram to thank fans for the award, writing: "To my dearest fans & all of those watching @teenchoicefox ! I want to say thank you from the very bottom of my heart for presenting me with #TheUltimateChoiceAward ! I am beyond bummed I couldn't make it to the show as I had every intention of being there to accept and celebrate this honor!"
The 2018 Teen Choice Awards will air Sunday, Aug. 12 at 8 p.m. EST on FOX.
Take a look back at last year's Teen Choice Awards with the clip below.
Teen Choice Awards Fashion Highlights: Zendaya, Paris Jackson, Yara Shahidi Keep It Crazy, Sexy, Cool
2018 TCA Awards: The Complete Winners List
Ariana Grande to Perform at the 2018 MTV Video Music Awards
Ashton Kutcher and Florida Georgia Line Join as Judges for WeWork's Creator Awards
2017 Teen Choice Awards Arrivals Gallery


text:
Q: issue sending and retrieving value using ajax This is a cleaner code of my preview problem, the idea is to send and retrieve a value using ajax, but the value is not being sent nor ajax seems to work. I updated this code because this way it could be easily tested on any machine. First time using ajax. Here is the code:
Javascript

HTML:
  <?php
  $result = 'works';
  ?>

  <form id="form">

  Click here

  <input type="hidden" name="centro" value="<?php echo $result; ?>">
  </form>

PHP file, request.php
 <?php
 $centro = $_POST['centro'];
 $output_string = ''.$centro;
 echo json_encode($output_string);
 ?>

A: Looks like you never tell AJAX that the POST name is 'centro', try to change this:
data: $("#form_"+i).serialize(),

for this
data: { 'centro' : $("#form_"+i).serialize()},

A: Try this:
HTML
<?php
    $i=0;
    $f=0;
    $consulta = $db->consulta("SELECT * FROM centro");
    if($db->num_rows($consulta)>0){
        while ($resultados1 = $db->fetch_array($consulta)){   ?>
        <form id="form_<?php echo $f++; ?>"> //begin form with its id
            <div class="centro" id="centro_<?php echo $i++; ?>">
                 <?php echo $resultados1['nombre_centro']; ?>

                <input type="hidden" name="centro" value="<?php echo $resultados1['id_centro']; ?>">

        </form>

        <?php
        }
    }
?>

Javascript:

Server page:
<?php
    include ('mysql.php');
    $db = new mysql();
    $centro = $_POST['centro']; //this is not getting any data. the whole ajax thing
    $consulta = $db->consulta("SELECT * FROM cuenta WHERE id_center = '$centro'");
    $output_string=array();
    if($db->num_rows($consulta)>0){
        while ($resultados1 = $db->fetch_array($consulta)){
            $output_string []= 'test text';
        }
    }
    mysql_close();
    echo json_encode($output_string);
?>

A: I've run into the same problem with my ajax calls that I call via the POST method. My data was actually getting passed in the message body. I had to access it through the following method:
php://input

This is a read only wrapper stream that allows you to read raw data from the message body.
For more information on this wrapper visit this link.
Tray adding the following to your PHP file:
$centro = file_get_contents("php://input");
// Depending on how you pass the data you may also need to json_decode($centro)
echo json_encode($centro);
// See if you get back what you pass in

This read the message body (with my posted data) and I was able to access the value there.
Hope this helps.

A: try to using this code in your ajax post :
jQuery('#centro_'+i).click( function() {
$.ajax({

    data: $("#centro_"+i).closest("form").serialize(),
    dataType:"html",
    success:function (data, textStatus) {
                $('#cuentas').html(data);
                alert(data);},
    type:"post",
    url:"load_cuentas.php"

        });
});


text:
Q: Url stop loading inbetween on UIWebView and WKWebView. On iOS 11 only My URL

*

*https://app.educationgalaxy.com/games/ipadgame.html?retries=3&name=blastoff&rocket=3&level=2&score=0&gameTimer=150
My Findings

*

*The URL works perfectly with all safari and other browsers.
(including iOS 11 mobile safari)

*The URL works with all iOS versions other than iOS 11.

*I tried to open the URL on both UIWebView and WKWebView but the same issue happens on both. i.e URL stops loading near completion and
nothing happens then.
Here is what I tried so far
import UIKit
import WebKit

class ViewController: UIViewController, WKNavigationDelegate {

    // Objects
    var webView: WKWebView!

    override func viewDidLoad() {
        super.viewDidLoad()

        setupWebView()
        loadUrl()
    }

    func setupWebView() {

        let prefs = WKPreferences()
        prefs.javaScriptEnabled = true
        let config = WKWebViewConfiguration()
        config.preferences = prefs

        webView = WKWebView(frame: view.frame, configuration: config)
        webView.navigationDelegate = self
        view.addSubview(webView)
    }

    func loadUrl() {

        webView.navigationDelegate = self
        let url = URL(string: "https://app.educationgalaxy.com/games/ipadgame.html?retries=3&name=blastoff&rocket=3&level=2&score=0&gameTimer=150")!
        var request = URLRequest(url: url)
        request.cachePolicy = .reloadRevalidatingCacheData
        webView.load(request)
    }

    func webView(_ webView: WKWebView, didFinish navigation: WKNavigation!) {
        print(webView.url!)

    }

    func webView(_ webView: WKWebView, didStartProvisionalNavigation navigation: WKNavigation!) {

        print(webView.url!)
    }

    func webView(_ webView: WKWebView, didFail navigation: WKNavigation!, withError error: Error) {

        print("error  - \(error)")
    }

}

I appreciate your help.

A: I have analyse your code that is good and you  have need check image formate.When I am using bellow code with  image url link working fine .
import UIKit
import WebKit

class ViewController: UIViewController  ,WKNavigationDelegate {

    var webView: WKWebView!

    override func viewDidLoad() {
        super.viewDidLoad()

        setupWebView()
        loadUrl()
    }

    func setupWebView() {

        let prefs = WKPreferences()
        prefs.javaScriptEnabled = true
        let config = WKWebViewConfiguration()
        config.preferences = prefs

        webView = WKWebView(frame: view.frame, configuration: config)
        webView.navigationDelegate = self
        view.addSubview(webView)
    }

    func loadUrl() {

        webView.navigationDelegate = self
       // let url = URL(string: "https://app.educationgalaxy.com/games/ipadgame.html?retries=3&name=blastoff&rocket=3&level=2&score=0&gameTimer=150")!

         let url = URL(string: "https://upload.wikimedia.org/wikipedia/commons/2/2d/Snake_River_%285mb%29.jpg")!

        var request = URLRequest(url: url)
        request.cachePolicy = .reloadRevalidatingCacheData
        webView.load(request)
    }

    func webView(_ webView: WKWebView, didFinish navigation: WKNavigation!) {
        print(webView.url!)

    }

    func webView(_ webView: WKWebView, didStartProvisionalNavigation navigation: WKNavigation!) {

        print(webView.url!)
    }

    func webView(_ webView: WKWebView, didFail navigation: WKNavigation!, withError error: Error) {

        print("error  - \(error)")
    }

    override func didReceiveMemoryWarning() {
        super.didReceiveMemoryWarning()
        // Dispose of any resources that can be recreated.
    }

}

A: WkWebview is recently introduced and UIWebView is officially deprecated now.
Here is link on same issue posted on Apple forum.And Apple staff is currently figuring out the crash.
enter link description here
https://forums.developer.apple.com/thread/90411
Also try to add WKWebView.framework in your project.
And Transport Security.
Hope this information can help you.

A: // Add plist file
<dict>
<key>NSAllowsArbitraryLoads</key>
<true/>
<key>NSExceptionDomains</key>
<dict>
    <key>google.com</key>
    <dict>
        <key>NSExceptionAllowsInsecureHTTPLoads</key>
        <true/>
        <key>NSIncludesSubdomains</key>
        <true/>
    </dict>
</dict>

 if WKWebView don't not support then declare .m file below code:

#import <WebKit/WebKit.h>

@interface WebScannerViewController()
{

 WKWebView *webView;

}

@end
@implementation WebScannerViewController
 - (void)viewDidLoad
  {
[super viewDidLoad];
webView.hidden=YES;

webView.UIDelegate = self;
webView.navigationDelegate = self;
self.loadingSign.hidden = NO;

    webView.frame=CGRectMake(0, 94, Width, Height-128);
    webView = [[WKWebView alloc] initWithFrame:self.view.bounds];
     webView.customUserAgent = @"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/601.6.17 (KHTML, like Gecko) Version/9.1.1 Safari/601.6.17";
    webView.navigationDelegate = self;
    NSURL *url = [NSURL URLWithString:@"https://app.educationgalaxy.com/games/ipadgame.html?retries=3&name=blastoff&rocket=3&level=2&score=0&gameTimer=150"];
    NSURLRequest *urlRequest = [NSURLRequest requestWithURL:url];
    [webView loadRequest:urlRequest];

}