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This poem was inspired by my innermost thoughts on how men treat women. Most men I have had the opportunity to become involved with, have caused me to feel this very strongly. I watch people and see how they treat one another. Someday, hopefully, I might be pleasantly surprised to learn that not everybody is this way.
That touch me so muchbecause it reminds me of me when I was younger. God bless you with this talent and continue with this gift.
wonderful depth that only a woman acn truly feel.
and leave her empty and alone.
her emotions they refuse her.
© 1999 Ginger True Please respect the rights of the author and Passions in Poetry. If you would like to use this poem on your own web page, please contact the Author. Thank you.


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text:
Aquatics Head Coach - Seasonal
Employer: City of Mesa Parks Recreation & Community Facilities
Compensation: Hourly
Position: Seasonal
Application Deadline 08/31/23
Description/Duties
This classification has been designated as a non-benefited, non-classified, non-merit system, at-will position.
The City of Mesa is currently recruiting Aquatics Head Coaches for the Summer Season. The Summer Season runs from April 2023 through August 2023. Schedules vary from 25 - 38 hours per week, depending on business needs.
As an Aquatics Head Coach you will coach, mentor, and train techniques related to swim teams, artistic swimming teams, dive teams, or water polo teams; and junior lifeguard programs. You will develop the skills of athletes and volunteers, supervise participants, take corrective action as needed, recruit volunteers and assign them to work matches, meets, and events. Other duties include monitoring activities at public pools to prevent accidents, rescuing swimmers in danger of drowning, checking pool water chemistry, cash handling, and general cleaning duties. You may be scheduled for lifeguard and/or swim lesson instructor assignments.
Qualified applicants must successfully complete one skills testing. The first skills test will be offered on Saturday, March 25, 2023 and remaining staffing needs will be filled at a second skills test Saturday, April 8, 2023. Skills testing will include an assessment of various lifeguard skills, fitness level, as well as a verbal interview. In order to attend either skills test, applications must be received online by 11:59 p.m., Wednesday, March 22, 2023, and you must receive an email invitation with details of the skills testing event. Applications received after March 22nd will be considered on an as-needed basis.
Lifeguard and Water Safety Instructor certification classes are offered by the City of Mesa beginning in February. A skills test review is offered in March. See the Mesa's Parks, Recreation and Community Facilities website for class times, locations, and registration fee information: http://www.mesaparks.com/parks-facilities/pools/training-classes. For general registration and class information, call 480-644-7529 (PLAY).
All staff will be provided black swimsuit/shorts uniform, two lifeguard t-shirts, and a Fox 40 whistle. Visible tattoos with inappropriate lettering or images such as nudity or offensive language must be covered. Visible body piercings must be appropriate and professional.
Incentive Information:
The City of Mesa is excited to offer reimbursement to NEW staff for the cost of Lifeguard Certification classes ($200) and Water Safety Instructor Certification classes ($225) obtained through the City of Mesa. To be eligible for reimbursement, applicants must register, complete and pass the certification class, pass the skills test, and be hired as a City of Mesa staff member for the Summer 2023 Season.
Seasonal staff are also eligible for a $500 incentive at the conclusion of the season. To receive the incentive, staff must work an entire season and receive a positive supervisor evaluation.
Please refer to the link below for the full job description and additional information regarding assignments, preferred qualifications, and essential functions.
Employee Values: All employees of the City of Mesa are expected to uphold and exhibit the City's shared employee values of Knowledge, Respect, and Integrity.
Minimum Qualifications Required. Good (3 - 9 months) experience as a lifeguard OR three months' experience as participant or coach in competitive swimming, artistic swimming, diving, or water polo.
Special Requirements. Valid Lifeguard Certification, Cardiopulmonary Resuscitation (CPR) for the Professional Rescuer Certification.
Substance Abuse Testing. Due to the safety and/or security sensitive nature of this classification, individuals shall be subject to pre-employment or pre-placement alcohol, drug and/or controlled substance testing as outlined in City policy and procedures.
Preferred/Desirable Qualifications. Graduation from high school or GED and Water Safety Instructor (WSI) certification is preferred. Some (3 - 6 months) experience as a Lifeguard is desirable.
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City of Mesa Parks Recreation & Community Facilities
708 W. Baseline Rd. #4 Mesa, Arizona 85210
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redpajama_set_name: RedPajamaCommonCrawl


text:
Tribe members say border wall is 'desecrating' ancestral remains in Arizona
Posted 3:32 PM, September 25, 2019, by Border Report Team, Updated at 03:34PM, September 25, 2019
ORGAN PIPE CACTUS NATIONAL MONUMENT, Ariz. (Border Report) — Nellie Jo David broke into tears on Tuesday afternoon when she tried to describe the "devastation" that she feels because of a 30-foot-tall border wall that is soon to be built through what she considers her tribe's sacred and "spiritual lands" in southwestern Arizona.
David is part of the Hia Ced O'odham tribe. She grew up in Ajo, Arizona, the nearest town to Organ Pipe Cactus National Monument — a 515-mile wildlife refuge that she says is the backyard for her people. More importantly, these desert acres filled with striking 200-year-old saguaro cacti bear the ancestral remains of her tribe, she says.
"Since they are waiving all the laws to build the wall, our ancestors' bones are not being respected," said David, who has a law degree from Michigan State University and has been active in organizing against the wall being built on these lands.
Because the area is on federal land, operated under the National Park Service, the Trump Administration has waived environmental and other restrictions to begin building a portion of the wall here where the refuge meets the Mexican border.
Agent threatens to arrest reporter near San Diego border wall
This dusty desert is void of anything commercial or industrial. One paved road runs through it and the rest are unmarked dirt trails that David said she ran barefoot as a child.
It is here where the elders told them stories about their tribe, she said.
It is here where they celebrate their New Year, after the harvest of the succulent fruit that the saguaro bear.
And it is here, she said, where undoubtedly thousands of her tribe have had their bones laid over the centuries.
"It's a big hurt and it's not just the recent encroachment of the border wall. That's a big deal, but we've had an ongoing militarization presence here for a very long time," said David, who now lives in Tucson and still comes frequently to the park.
PHOTOS: Border barriers in Arizona
On Tuesday, she rallied some other "activists" to join her. She thought nothing of the two-hour drive to give Border Report a tour of what she says are "their lands" regardless of the U.S. government's claim.
"It hurts. It hurts to have these outside forces occupying our own lands and treating us as if we don't belong when we have a very strong history here," she said.
David said that many of the tribespeople are buried in marked graves, others have rock formations or other decorative commemorations marking their resting spot, but not everyone. "There are also more where we don't know where they are because we've had such a long history and that's what I'm talking about with the wall."
The 9-mile 30-foot-tall border wall is to be built on a mountainous rise parallel to a current shorter metal fence, which was built about 10 years ago. When it was built, David said that the tribal elders were notified that artifacts and bones of the Hia Ced O'odham tribe were found there.
Arizona moves to expand trade with Mexico
Now, David worries how many other artifacts and bones will be disturbed by this bigger border wall, which is to have a concrete base that goes deep into the earth to prevent tunneling.
"They're taking a part of our history," David said. "There is a process and procedure to rebury these bones into the ground and do it in a ceremonial way. However, it is still a desecration because we believe these people were left where they were for a reason and that their bodies should not be disturbed."
Sandra Sanchez can be reached at SSanchez@BorderReport.com. She is part of a 10-day crew who are reporting from San Diego to Brownsville, Texas, covering the Southwest border on the Border Tour.
Locals worry about wildlife amid border wall construction
Filed in: Border Report
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Appeals court allows use of $3.6B in military funds for border wall


text:
25.09.2018 | People's Council hosts the next meeting in Ashgabat in 2019
President of Turkmenistan, Chairman of People's Council Gurbanguly Berdimuhamedov signed the Resolution "On convening the Halk Maslahaty of Turkmenistan meeting in 2019".
25.09.2018 | President of Turkmenistan initiates proposals on improvement of work of the agro-industrial sector
Speaking during a meeting of People's Council, President Gurbanguly Berdimuhamedov put forward a number of proposals on the reorganization of work of the agro-industrial complex.
25.09.2018 | President of Turkmenistan: Education and Healthcare Remain Key Areas for Investment
President Gurbanguly Berdimuhamedov spoke at the session of the People's Council of Turkmenistan to take stock of the country's economic development during the years of independence and to evaluate the current state of social sectors and outline objectives for the near future.
25.09.2018 | President of Turkmenistan sums us the development of the transport complex of the country
Speaking during a People's Council meeting, President Gurbanguly Berdimuhamedov evaluated the development of the economic branches of the country.
25.09.2018 | Turkmenistan's industrial policy aims at saturating domestic market and export growth
During a meeting of People's Council, President of Turkmenistan Gurbanguly Berdimuhamedov summed up the economic development of the country specifying the promising areas.
25.09.2018 | President Gurbanguly Berdimuhamedov specifies the priorities of the energy strategy of Turkmenistan
Speaking during a meeting of People's Council in Ashgabat, President Gurbanguly Berdimuhamedov emphasized that the development of the oil and gas sphere was one of the key areas of the economic growth in the years of independence.
25.09.2018 | Twenty-Seven Years of Independence See 350-fold Increase in Investments in Turkmenistan's Economy
Speaking at the People's Council meeting, President Gurbanguly Berdimuhamedov has characterized Turkmenistan's post-independence period, having noted that the country has dramatically transformed from an agricultural country into an industrialized country.
25.09.2018 | President Gurbanguly Berdimuhamedov: The Proclamation of Neutrality was a Life-Changing Decision for Turkmenistan
The proclamation of neutrality as Turkmenistan's official legal status and the main line of foreign policy was a life-changing decision, President Gurbanguly Berdimuhamedov said, speaking at the Khalk Maslakhaty meeting in Ashgabat.
25.09.2018 | People's Council Meeting Opens in Ashgabat
The first People's Council meeting, chaired by President Gurbanguly Berdimuhamedov, has opened in the capital's Ruhyyet Palace. The national forum will focus on priority objectives of the all-round development of Turkmenistan and Turkmen society.
24.09.2018 | Preparation to holidays and fulfilment of social and economic programmes are discussed at the extended session of the Government
President Gurbanguly Berdimuhamedov held extended session of the Cabinet of Ministers with the participation of the members of the State Security Council, Hyakims of the velayats and Ashgabat. The session was held in "Ruh" hall of the Ruhiyet Palace. The agenda of the session included preparation to the session of the People's Council and celebration of the 27th anniversary of Independence of Turkmenistan as well as fulfilment of the programmes of social and economic development of the country.


text:
Sarand (, also Romanized as Sorond) is a village in Raqqeh Rural District, Eresk District, Boshruyeh County, South Khorasan Province, Iran. At the 2006 census, its population was 113, in 31 families.

References

Populated places in Boshruyeh County

redpajama_set_name: RedPajamaWikipedia


text:
\section{Introduction}
Electrification of the transportation system and space heating, and the increased penetration of Distributed Energy Resources have changed the operating conditions of the distribution system. Distribution System Operators (DSO) are facing congestion problems due to power flow exceeding the network's transfer capability. To manage congestion that could cause voltage violations and/or thermal overloading, possibly damaging devices such as distribution transformers and feeders, market-based congestion management methods have been developed. Such methods utilize existing flexibility in the market through Demand Side Management (DSM), avoiding incurring huge costs to reinforce network assets \cite{article1}.

Market-based congestion management methods \cite{b1} \cite{o9} employ the communication layer to relay consumer preferences to their respective aggregators, price tariffs from DSO to aggregators, and load schedules from aggregators to the DSO to mitigate congestion. The success of such congestion management methods, hence, relies on the cyber security of the entities involved and their communication links. Ensuring the confidentiality, integrity, and availability of the DSO, aggregators, consumers' meters, and the information exchanged is vital to resolve congestion using DSM.

Cyber attacks compromising consumers' smart meters and their communication lines have been studied in the literature. \cite{j6} studied the impact of closed-loop load altering attacks compromising the stability of the power system. In \cite{lit1}, three types of attackers were studied, with varying cyber attacking capabilities, that aim to steal electricity using false data injection (FDI) by tampering with the smart meters. On the other hand, in \cite{lit2}, the impact of a cyber attack manipulating the readings of consumers' meters responsible for monitoring renewable DG units to overcharge the utility.

Attacking aggregators or their communication links with the DSO is another aspect that can be utilized by a cyber attacker to affect the performance of market-based congestion management methods. Aggregators hold a unique position in the distribution network in terms of their connection to their respective DER equipment and the DSO \cite{rev2}. Compromising the cyber security of aggregators could risk the overall security of the grid. Financial losses can be caused as a result of an adversary causing congestions not to be detected in the day-ahead market by the DSO. This would cause unnecessary load shedding that could be avoided if the attack was mitigated. Moreover, cyber attacks can be executed by DSO competitors to fake congestion resulting in higher congestion tariffs to be imposed on the consumers. This would encourage consumers to change their utility provider. Hence, it is critical to study the impact of cyber attacks on aggregators and how to mitigate or detect such attacks. However, no literature exists on studying attacks compromising aggregators explicitly except our work in \cite{omo1}. In \cite{omo1}, the impact of compromising aggregators, as a result of Load Altering Attacks (LAA), on congestion and congestion tariff has been evaluated. But, up to the author's knowledge, no literature exists on detection of such attacks that compromise aggregators load profiles communicated to the DSO affecting congestion in the network.

Motivated by the research gap, the main contribution of this paper is focused on developing a detection scheme that would determine the presence or absence of a load altering cyber attack compromising aggregators in the distribution network. The detection scheme is executed by the DSO in the day-ahead market on receiving aggregators' load profiles prior to computing the congestion tariff.

\section{Related Work}
Load Altering Attacks (LAAs) has been previously studied in the literature. In \cite{ami8}, static LAAs compromising Internet connected vulnerable loads were studied. A cost-efficient load protection was then proposed identifying the vulnerable loads that need to be secured without overloading the distribution system. In \cite{j6}, closed-loop dynamic LAA were studied in which non-secured load was cyber-attacked over time in a pre-programmed trajectory based on system frequency. A non-convex pole placement optimization problem is then solved to determine the minimum load required to be secured without impacting power system stability. It should be noted, however, that \cite{ami8}-\cite{j6} were studied based on power system dynamics.

Detection of FDI attacks utilizing data-based methods has been also studied. Data-based methods' ability to scale to larger systems with low computational cost makes it an attractive technique \cite{det3}. \cite{det1} tested and compared the performance of linear and Gaussian Support Vector Machines (SVM), K-Nearest Neighbours (KNN), and single layer perceptrons as FDI detection models. Similarly, \cite{det2} utilized SVM, KNN, and Extended Nearest Neighbours to detect the most accurate method to detect falsification of measurement and state data. A SVM-based classifier was adopted to detect energy theft attacks as a result of hacking smart meters in \cite{lit4}.

\section{Case Study System Details}
To simulate load altering attacks on market-based congestion management techniques and the proposed detection model, the IEEE 33 bus system \cite{b24}, illustrated in Figure \ref{fig:fig2}, is adopted. Having 32 load buses, residential consumers are represented using both flexible and base loads. Residential base load profiles are designed to have a maximum load equivalent to the default loading of the IEEE 33 test bus system. On the other hand, residential flexible loads consist of one Heat Pump (HP) and one Electric Vehicle (EV) with a battery size of 36kWh, per residence. Consumers' preferences in terms of their comfortable indoor temperature range and initial State of Charge (SOC) of EV are randomized to be uniformly distributed between $18-24\degree \text{C}$ and $20-30\%$ respectively. The residential charging power of EVs was chosen as 11kW. All the load buses of the IEEE 33 bus system, are assumed to be residential, having both flexible and non-flexible loads, except bus 23 and 24. Having the largest base-load, load bus 23 and 24 were utilized as commercial buses consisting of Fast Charging Direct Current (FCDC) EV charging parking lots of 50kW. Arrival and departure of EVs from the FCDC parking lot were simulated using data obtained from Toronto parking authority \cite{extra}. The absence of an EV from the commercial parking lot was assumed to indicate its presence at its residence. All residential and commercial buses were represented by 9 aggregators having comparable loads, as illustrated in Figure \ref{fig:fig2}. Aggregators 6 and 7 are used to represent commercial buses. Day-ahead electricity prices are obtained from the PJM market via the dataminer tool \cite{pjm}. GAMS \cite{b25} was used for executing the optimizations in this paper. MATLAB was used for determining the congestion tariffs imposed by the DNO to relieve congestion and for implementing the proposed detection scheme.

\begin{figure}[t]
\centering
  \includegraphics[trim={0cm 1cm 0cm 0cm}, width=0.45\textwidth, height=0.2\textwidth]{IEEE33.png}
  \caption{IEEE 33 bus system involving nine aggregators \cite{b24}}
  \label{fig:fig2}
\end{figure}

\section{Impact of LAAs compromising aggregators}
The general methodology adopted in market-based congestion management methods is illustrated in Figure \ref{fig:fig5}. Three entities are involved: DSO, aggregators, and consumers. DSO is the central system operator that is responsible for ensuring the absence of network congestion. It utilizes the Wide Area Network (WAN) to receive optimized load schedules from the aggregators, performs load flow analysis, and then determines the congestion tariff to be imposed to alleviate congestion. These tariffs are then sent to the aggregators to re-optimize their load schedules based on their customers' preferences. Aggregators are responsible for receiving their customers' preferences using the Neighborhood Area Network (NAN) and optimizing their load schedules to minimize their costs. Consumers are the owners of flexible and non-flexible loads and they hire aggregators to represent their needs in the electricity market. Utilizing the Home Area Network (HAN), consumers transmit their loads and their preferences to their respective aggregators.

\begin{figure}[b]
\centering
  \includegraphics[trim={0cm 1cm 0cm 0cm}, width=0.4\textwidth]{congestionmanagement.png}
  \caption{General representation of DSM-based congestion management}
  \label{fig:fig5}
\end{figure}

DSM-based congestion management methods' reliance on the communication layer to relieve congestion makes them prone to cyber attacks. A Load Altering cyber Attack (LAA) can be implemented by compromising aggregators and altering the load schedules that are transmitted to the DSO. The optimal load schedule of aggregators can be defined as follows,
\setlength{\intextsep}{1pt}
\begin{equation}
\label{eqn1}
\begin{split}
P_{i,t}^{a}=E(P_{c,t}^{a,nf}+P_{c,t}^{a,f}),
\forall a \in N_a, \forall i \in N_d,\\ \forall c \in N_m, \forall t \in N_T \\
\end{split}
\end{equation}
where $P_{i,t}^{a}\in \mathbb{R}^{N_d}$ is the load of bus $i$ of aggregator $a$ at time $t$. $N_a$, $N_d$ and $N_m$ are the set of aggregators, buses, and customers in the network. $N_T$ is the total set of time slots considered in the day-ahead market. $E$ is the customer-to-bus mapping matrix where $E\in \mathbb{R}^{{N_d}\times{N_m}}$. $P_{c,t}^{a,nf}$ and $P_{c,t}^{a,f}$ are the non-flexible and flexible loads of customer, $c$, of aggregator $a$ at time $t$, where $\{P_{c,t}^{a,nf},P_{c,t}^{a,f}\}\in \mathbb{R}^{N_m}$. The load schedule of compromised aggregator can be defined as follows,
\setlength{\textfloatsep}{5pt}
\begin{equation}
\label{eqn1}
\begin{split}
P_{i,t}^{a^c}=P_{i,t}^{a^c}+\Delta_i^{a^c}\text{, for }0 \leq \Delta_i^{a^c} \leq \gamma
\end{split}
\end{equation}
where $a^c$ is the aggregator that is compromised and $\Delta_i^{a^c}$ represents the alteration of the compromised aggregator's load. To not raise any alarms with the DSO, $\Delta_i^{a^c}$ needs to be as low as possible. $\gamma$ is the upper limit for the change in the compromised aggregators' load schedule. In this paper, $\gamma$ is chosen as 0.1 to ensure the stealthiness of the attack while achieving the objective of the attacker.

Adopting the case study explained in Section II, and utilizing the DDT congestion management method \cite{b3} to mitigate congestion, the load schedules of aggregators 3 and 7 are compromised to study the impact of the cyber attack. Figure \ref{fig:fig51} illustrates the effect of LAA on power flow in line 0-1 of the IEEE 33 bus system as a comparison between the attacked and not attacked scenarios, prior to imposing any congestion tariff. At peak time, $t=12$, the line 0-1 was already congested. However, the LAA caused an increase in the congestion level. Moreover, line 0-1 was not congested at times 10 and 11. However, on scaling the load schedules of the two aggregators, congestion was created. This has an impact on electricity price as illustrated in Figure \ref{fig:fig52}. In the absence of a LAA, the imposed congestion tariff increased the price of electricity at t = 12 by 15\%. However, due to the load altering attack, the imposed tariff increased the price by a not needed 10\% at t = 12 which customers have to pay for a higher congestion level that is not real. Also, as a result of fake congestion being created at times 10 and 11, a congestion tariff is imposed by the DNO to solve the fake congestion. Customers now have to pay 4.4\% more at t = 10 and 6.4\% more at t = 11.

\begin{figure}[t]
\centering
  \includegraphics[trim={0cm 1cm 0cm 0cm}, width=0.3\textwidth]{LAA_demand.png}
  \caption{Effect of a LAA on power flow levels}
  \label{fig:fig51}
\end{figure}

\begin{figure}[t]
\centering
  \includegraphics[trim={0cm 1cm 0cm 0cm}, width=0.3\textwidth]{LAA_price.png}
  \caption{Effect of LAA on electricity price}
  \label{fig:fig52}
\end{figure}

\section{Modeling of LAA Detection Scheme}
To detect LAAs, Recurrent Neural Networks (RNN), which is a class of Artificial Neural Networks (ANN), is proposed in this paper. Traditional backpropagation NNs, though capable of learning nonlinear functions, cannot capture sequential information in the input data which is required for dealing with sequence data. Neglecting data's temporal correlation impacts the model's accuracy \cite{jj}. RNNs, on the other hand, have a recurrent connection in their hidden states making them capable of capturing sequential information present in input data. The network, hence, develops a memory of past events and encodes it in its hidden state. RNNs are ideal for applications in which there is a temporal dependency in the data \cite{rnnbook}. Hence, an RNN's output at $t$ could have an effect on its decision at $t+1$. There are many types of RNNs based on their input and output data: sequence input (also known as many-to-one), sequence output (also known as one-to-many), sequence input and output (also known as many-to-many), or synced sequence inputs and outputs (also known as bidirectional many-to-many). RNNs are trained using backpropagation. However, for long sequences, the gradients, which carry information utilized for RNN parameter update, measured in the last layers becomes smaller. Thus, as a consequence parameter updates become insignificant. LSTM RNNs is an improvement over RNNs since it reduces RNNs vanishing gradient problem. LSTM's insensitivity to the gap between the relevant information in the past and the time when that information is needed in the present gives it an advantage over alternative sequential models, such as Hidden Markov Models \cite{rnnbook1}.

Being in the day-ahead market, and receiving the aggregators' load schedules as a full day sequence makes utilization of LSTM as a cyber attack detection scheme attractive for the DSO prior to computation of the congestion tariff. To model the detection scheme, the steps illustrated in Figure \ref{overall}, and explained in the following subsections, needs to be executed.
\begin{figure}[b]
\centering
  \includegraphics[trim={1cm 1cm 0cm 0cm}, width=0.45\textwidth]{overall_2.jpg}
  \caption{LSTM-based LAA Detection Model}
  \label{overall}
\end{figure}

\subsection{Data set, Feature Extraction and Preprocessing}
To model the LSTM network, hourly customer real power load, electricity price, and weather data for Michigan, USA was utilized. Data was collected for random days in November to March of 2015 to 2020. These winter months were chosen as the loads are at their peak, and there is a high chance of the network being congested. The real power load per bus in the distribution network is determined using the weather and day-ahead electricity prices to optimize aggregators' consumers' load. Hence, the four types of sequences that were chosen as input features are as follows:
\begin{itemize}
    \item Historical daily weather data.
    \item Historical day-ahead electricity prices \cite{pjm}.
    \item Three days historical real power load per bus.
    \item Power load per bus.
    \item Power flow in the main feeder of the distribution network.
\end{itemize}
All the data were normalized using min-max normalization. For every feature, the minimum value was transformed to a 0, the maximum value was changed to a 1, and every other value gets represented by a decimal between 0 and 1. 1550 days of data were used to simulate attacked and not attacked scenarios. An attacked day is labeled as 1, and 0 otherwise.

\subsection{LSTM Modelling}
To model LAA LSTM-based detection scheme, a many-to-one LSTM model is adopted. The input to the model is in the form of sequential data representing the 24-hour weather forecast, day-ahead electricity prices, real power load per bus, and the power flow in the feeder of concern. The output to the model, on the other hand, is a classification decision. A decision equal to $1$ represents an attacked scenario, while a decision equal to $0$ represents a not-attacked scenario.
The LSTM-RNN model includes multiple LSTM-RNN memory units that replaces each node in the hidden layer of a neural network model. Each unit consists of an input gate, $i(t)$, an output gate, $o(t)$, a forget gate, $f(t)$, and a memory cell state, $c(t)$, as illustrated in Figure \ref{fig:fig53} \cite{lstm}. The three gates are responsible for selecting and rejecting the information that passes through the network in its cell state. Initially, the LSTM needs to determine which information it will remove from the cell state, $c(t-1)$. This is done by the sigmoid layer forget gate, $f(t)$, which takes its previous cell output, $h(t-1)$, and the new cell input, $x(t)$, to output a number between 0 and 1 for $c(t-1)$. A 1 indicates retaining the contents of $c(t-1)$ while a 0 means deleting the contents.

\begin{figure}[b]
\centering
  \includegraphics[trim={1cm 1cm 1cm 1cm}, width=0.35\textwidth]{lstm.jpg}
  \caption{Structure of the LSTM-RNN memory-unit}
  \label{fig:fig53}
\end{figure}

\begin{equation}
\label{eqn11}
f(t)=\delta(W_{f}[x(t),h(t-1)]+b_{f})\\
\end{equation}
A sigmoid layer input gate then takes the current input, $x(t)$, and previous cell output, $h(t-1)$, to determine which cell states to update. A tanh layer is responsible for creating an array of new updated values that would be added to the state.
\begin{equation}
\label{eqn12}
i(t)=\delta(W_{i}[x(t),h(t-1)]+b_{i})\\
\end{equation}
\begin{equation}
\label{eqn13}
\Tilde{c}(t)=tanh(W_{c}[x(t)+h(t-1)+b_{c})\\
\end{equation}
The previous cell state, $c(t-1)$, is then updated by multiplying it with $f(t)$ (\ref{eqn11}) to forget the contents that was decided to be forgotten. The result is added to the product of $i(t)$ (\ref{eqn12}) and $\Tilde{c}(t)$ (\ref{eqn13}) to update the cell state values.
\begin{equation}
\label{eqn14}
\Tilde{c}(t)=f(t)\times{c}(t-1)+i(t)\times\Tilde{c}(t)\\
\end{equation}
The output gate, $o(t)$, utilizes the sigmoid activation function to decide which part of the current cell makes it to the output. These values are then filtered using a tanh function to be between -1 and 1.
\begin{equation}
\label{eqn15}
o(t)=\delta(W_{o}[x(t),h(t-1)]+b_{o})\\
\end{equation}
\begin{equation}
\label{eqn16}
h_{t}=o_{t} \tanh{c(t)}\\
\end{equation}
$W_{f}$, $W_{i}$, $W_{c}$, and $W_o$ represent the weight matrices for the inputs of the network activation functions. Also, $b_{f}$, $b_{i}$, $b_{c}$, and $b_o$ represent the biases for the different gates. The above process is repeated for all time steps, as illustrated in Figure \ref{LSTMcycle}. Weights and biases are updated by minimizing the differences between the LSTM outputs and the training samples.

\begin{figure}[b]
\centering
  \includegraphics[trim={1cm 1cm 1cm 1cm}, width=0.4\textwidth]{LSTM_cycle.jpg}
  \caption{Overall Structure of the LSTM-RNN Model}
  \label{LSTMcycle}
\end{figure}

\subsection{Results and Discussion}
$70\%$ of the data explained in the section earlier, corresponding to 1200 days of data representing attacked and not attacked scenarios, were used for training and validating the LAA detection scheme. The remaining $30\%$ of the data, corresponding to 350 days, were used for testing the performance of the model. the performance of the LSTM detection scheme was compared with the traditional back propagation neural network (ANN) model. To evaluate its performance, confusion matrix and accuracy were used as performance metrics. A confusion matrix assesses the performance of the model in terms of true positives, true negatives, false positives, and false negatives. False positives refer to the number of cases that were classified as attacked when in reality they were not attacked. On the other hand, a false negative refers to the number of cases that were not classified as attacked by the model. True positives and true negatives refer to case scenarios representing attacked and not attacked days respectively and the model classified it correctly. On the other hand, accuracy represents the correctness of the classifier and is calculated as follows:
    \begin{equation}
    \begin{split}
        \text{Accuracy }=\frac{\text{ (True Positive + True Negative)}}{\text{Number of Cases}}
    \end{split}
      \label{r}
    \end{equation}

Table \ref{table:table54} illustrates the confusion matrix of the results obtained using the LSTM and the ANN models. As observed, in both the models the number of false positive is higher compared to that of the false negative cases. The ANN resulted had nearly $9.4\%$ of false positive cases compared to $1.7\%$ of false negatives. Similarly, LSTM resulted in nearly $2.9\%$ of false positives compared to $0.6\%$ of false negatives. Using more data to train the model on more attack scenarios can decrease this number so that the model could clearly distinguish between an attacked and not attacked scenario. Compared to the ANN model, the LSTM model performed better. Summing up the number of true positive and true negative cases, as illustrated in (\ref{r}), results in an accuracy of $96.57\%$ for the LSTM model and accuracy of $88.86\%$ for the ANN model. The results signify the advantage of using LSTM sequential classifier to model the LAA detection scheme.

In the day-ahead market, on receipt of the aggregators' load schedules, the DSO executes the proposed LSTM model to detect if an attack has occurred. If the LSTM classifier detects no attack, then the DSO would go ahead to compute the congestion tariffs. However, if an attack is detected the DSO would inform the aggregators that a cyber attack has occurred in the network so that the aggregators could check their cyber security. Until the cyber attack is eliminated, the DSO would rely on its historical data to determine if there is congestion in the network. Future work should incorporate the detection of the aggregator that is compromised in the network.

 \setlength{\tabcolsep}{1pt}
 \begin{center}
\begin{table}[b]
\centering
\caption{Confusion Matrix of LAA Detection Models}
\begin{tabular}{|l||c|c||c|c|}
\hline
\multicolumn{1}{|c||}{} & \multicolumn{2}{c||}{ANN} & \multicolumn{2}{c|}{LSTM} \\
\cline{1-5}
\multicolumn{1}{|c||}{\diaghead{Output  Actual}{\textbf{Output  } }{\textbf{Actual}} } & \textbf{Attack} &\textbf{\makecell{No \\Attack}}& \textbf{Attack} &\textbf{\makecell{No \\Attack}}\\
\hline  \hline
\textbf{Attack}& 137 &33 & 141 & 10  \\
\textbf{No Attack} & 6 & 174 & 2 & 197\\
\hline\hline

\end{tabular}
\label{table:table54}
\end{table}
\end{center}

\section{Conclusions}
Cyber vulnerabilities of market-based congestion management techniques were studied in this paper. The impact of load altering attacks that creates fake congestion was evaluated in terms of congestion level and congestion tariffs. A detection technique using LSTM recurrent neural networks was proposed. On receiving aggregators' load schedules in the day-ahead market, the DSO would simulate the LSTM detection model to determine if any of the data received for each bus has been compromised. Distinctive sequences were chosen as features for the detection model to classify the presence or absence of an attack in the day-ahead market. Although the attacks simulated were made to be stealthy and hence hard to be detected, an accuracy of $96.57\%$ was obtained reflecting the capability of the proposed model in detecting load altering cyber attacks that compromises aggregators in the network.

redpajama_set_name: RedPajamaArXiv


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text:
Q: How to put water mark on image which retrieved from mysql I need some help.
Below is my code that retrieving all the images stored in my database, if it runs the first block of code saved as index.php it is displaying but i want to put watermark after i've retrieved i.e; before displaying those images. Is that possible to integrate watermarks after or we can only do that before?
<?php
mysql_connect("localhost", "root", "") or die(mysql_error());
mysql_select_db("test") or die(mysql_error());
$query = mysql_query("SELECT * FROM images ORDER BY id DESC") or die(mysql_error());
while( $result = mysql_fetch_array($query) ){
$id = $result['id'];
echo "<img src=img.php?id=$id>";
?>

and in img.php
<?php
mysql_connect("localhost", "root", "") or die(mysql_error());
mysql_select_db("test") or die(mysql_error());
$id = $_REQUEST['id'];
$query = mysql_query("SELECT * FROM images WHERE id='$id'") or die(mysql_error());
$image = mysql_fetch_assoc($query);
$image1 = $image['image'];
header('Content-type:image/jpeg');
echo $image1;

A: You should be storing images as links and not blobs. But because of existing image database the following code will put a watermark on an image stored as a blob. It uses PDO instead of mysql_ functions which are deprecated.
<?php
function ImageStringCenter($image, $fontSize, $lineNumber, $totalLines, $text, $color ) {
    $centerX = ceil( ( imagesx($image) - ( ImageFontWidth($fontSize) * strlen($text) ) ) / 2 );
    $centerY = ceil( ( ( imagesy($image) - ( ImageFontHeight($fontSize) * $totalLines ) ) / 2)  + ( ($lineNumber-1) * ImageFontHeight($fontSize) ) );
    ImageString($image, $fontSize, $centerX, $centerY, $text, $color );
}
require("dbinfo.php");
// Opens a connection to a mySQL server
$connection=mysql_connect ($host, $username, $password);
if (!$connection) {
  die("Not connected : " . mysql_error());
}

// Set the active mySQL database
$db_selected = mysql_select_db($database, $connection);
if (!$db_selected) {
  die ("Can\'t use db : " . mysql_error());
}

$id = 1;
$query = mysql_query("SELECT * FROM images WHERE id='$id'") or die(mysql_error());
$image = mysql_fetch_assoc($query);
$image1 = $image['image'];
//Use imagecreatefrompng,imagecreatefromgif, imagecreatefromjpeg ,etc for othertypes
$im = imagecreatefromstring($image1);////For blobs
$text_color = imagecolorallocate($im, 266, 266, 266);
ImageStringCenter($im, 5, 1, 2,  "Watermark", $text_color);
ImageStringCenter($im, 5, 2, 2,  "20/02/2013", $text_color);
header("Content-Type: image/png");//blob .png file
imagepng($im);
imagedestroy($image1);
?>

Database

Watermark on image

redpajama_set_name: RedPajamaStackExchange


Square Enix Forums > Eidos Classics > Legacy of Kain Series > Archives > Nosgoth - Archive > Nosgoth Feedback & Suggestions > Re-rolling mysterious visual fx?
View Full Version : Re-rolling mysterious visual fx?
I was wondering if this will be possible when crafting is released?


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The deadly St Jude storm is making its way across north-western Russia, toppling roofs, uprooting trees, leaving tens of thousands residents without electricity and putting the historic city of St Petersburg under threat of flooding.
As the powerful Atlantic storm reached Russia's northern capital of St Petersburg, authorities activated city flood protection systems.
Earlier on Tuesday, the water level in the Neva River was rapidly increasing, rising 25 cm at the St. Petersburg's Mining Institute gauging station within just half an hour between 3pm and 3:30pm local time. However, by 4.30 pm it decreased again by 17 cm, reports the Emergencies Ministry.
Meanwhile, according to eyewitnesses' posts on social networking services, hurricane-force winds ripped roofs off several buildings, brought down trees, and caused damage to vehicles.
A man has been hospitalized with injuries after a billboard fell on a shuttle bus, reports RIA Novosti, citing a source within St Petersburg's traffic police.
The city police have tightened security in four St Pete districts which have experienced power cuts.
Raging winds have caused blackouts in hundreds of towns and villages in the Leningrad Region and neighboring Vologda and Novgorod Region, leaving tens of thousands people without eclectic power. After abating slightly, the storm resurged again in the afternoon, forcing technicians to come back to areas where they had sorted out problems with power supplies earlier in the day.
"The reparation works are complicated by bad weather conditions, with winds reaching speeds of 26 m/s," the Lenenergo electricity distribution company told Itar-Tass.
St Pete's Flood Protection Barrier – a massive 25-kilometer complex of dams built on the Neva Bay - has helped to prevent the city from its 312th flooding since its founding in 1703, the organization's press service reported on Tuesday. Called the Northern Venice, the city is often threatened by floods since major part of its territory is located near sea level.
Meanwhile, northern Europe is coping with the aftermath of the hurricane. Before crossing into Russia, the deadly storm swept through the UK, the Netherlands, Germany and France. One of the worst in decades, the storm has claimed at least 15 victims. Tens of thousands people were without power in Sweden, Denmark, Estonia and Latvia.
Media dubbed the windstorm St Jude after the patron saint of lost causes, whose feast day was celebrated on Monday, the day when the storm was expected to reach its height.


text:
require 'puppet/face'
require 'puppet/face/site/site_datastore.rb'

Puppet::Face.define(:site, '0.0.1') do
  action :create do
    summary "Initialize Puppet site"
    arguments "<data>"
    description <<-'EOT'
      Initialize a new Puppet site
    EOT
    returns <<-'EOT'
      Nothing
    EOT

    when_invoked do |args|
      if args.has_key?(:name) then
        site_name = args[:name]
      else
        site_name = 'SITE_01'
      end

      if args.has_key?(:mode) then
        if [ 'standalone', 'balanced' ].include? args[:mode] then
          site_mode = args[:mode]
        else
          fail "Mode must be one of 'standalone' or 'balanced'"
        end
      else
        site_mode = 'standalone'
      end

      SiteDatastore::create_site( site_name, site_mode )

    end

  end
end

redpajama_set_name: RedPajamaGithub


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text:
Куп пет нација 1930. (службени назив: 1930 Five Nations Championship) је било 43. издање овог најелитнијег репрезентативног рагби такмичења Старог континента. а 16. издање Купа пет нација.

Куп је освојила Енглеска.

Такмичење

Француска - Шкотска 7-3

Велс - Енглеска 3-11

Ирска - Француска 0-5

Шкотска - Велс 12-9

Ирска - Енглеска 4-3

Енглеска - Француска 11-5

Шкотска - Ирска 11-14

Велс - Ирска 12-7

Енглеска - Шкотска 0-0

Француска - Велс 0-11

Табела

Референце

Сезоне Купа пет нација
Спорт у 1930.


text:
Dramatic Reversals of Grace
Posted on Sunday, November 3, 2019 by Mendicant Monk
Ven. Hilarion the Great
In the name of the Father and of the Son and of the Holy Spirit, Amen. Glory to Jesus Christ. Beloved in the Lord, don't we all enjoy a good story like this one in which the forgotten and downtrodden beggar becomes the exalted hero? And where the former persecutor becomes the fearless advocate of the oppressed? They are both examples of dramatic reversal that makes us wonder about the world– its true nature and the paradox that seems to govern all despite outward appearances to the contrary.
The rich man in this morning's gospel lived the lifestyle of someone rich and famous. He had everything going for him: the best clothes, sumptuous meals, and the reputation that preceded him in the world. But while he was well known to the world, his name was unwritten in the Lamb's Book of Life. Note carefully what the parable does not say: There is no intimation that he received his wealth by any means that were dishonest or criminal. No, here is someone that was living the American dream; when it came to business, he was killing it. Yet in the midst of his success lurked one great missing piece.
The poor man Lazarus who lay at his outer gate begging daily did not ask for very much: a single crumb from the table of his neighbor. Yet the unnamed rich man could not spare even that wee bit. His worldly status had blinded him to his true home in heaven, and he did not see the Lord in the distressing disguise of the sore-covered, dirty Lazarus. When the rich man finally met his maker, he begged for the small relief from suffering which he himself did not give, and he was refused in the same way that he himself refused his neighbor. In the end, he had failed to understand the true purpose of riches — that he was not the real owner but only the steward for the Lord who the Psalmist says, "… owns the cattle on a thousand hills." (Psalm 50:10)
But we do not know this rich man too well, for only one verse describes him. Yet there is another fictitious rich man who cannot so easily escape our imagination and who might better lead us to repentance. I speak of our dear old uncle Ebenezer Scrooge, an equally shrewd man of business who in Charles Dickens classic A Christmas Carol also finds a way to completely ignore the poor:
Oh, but he was a tight-fisted hand at the grindstone, Scrooge! Squeezing, wrenching, grasping, scraping, clutching, covetous old sinner! And sharp as flint, from which no steel had ever struck out generous fire; secret and self-contained and solitaire as an oyster.
Though his closed hand refuses even a crumb to a beggar boy, three spirits from the life to come work on him and finally lead him to repentance through beholding his own future, dead body. The remembrance of death unbinds his greedy hand when the author reflects:
Oh cold, cold, rigid, dreadful Death, set up thine altar here, and dress it with such terrors as thou hast at thy command: for this is thy dominion. But of the loved, revered, and honoured head, thou canst not turn one hair to thy dread purposes, or make one feature odious. It is not that the hand is heavy and will fall down when released; it is not that the heart and pulse are still; but that the hand was open, generous, and true; the heart brave, warm, and tender; and the pulse a man's. Strike, Shadow, strike. And see his good deeds springing from the wound, to sow the world with life immortal.
We in the Church celebrated the memory of such a generous man last Thursday evening and Friday morning, the perfect foil of these two covetous rich men, a person who gave more than candy to people in need: Our father among the saints John of Kronstadt. In the service we sang for him, it compared him to the great ascetic John the Baptist as the:
…namesake of the preacher of repentance unto men who, appareled in soft clothing, was not softened in his soul. Ascetic, through whose hands unmeasured riches passed, but in whose holy heart no love of money dwelt. Wondrous was all that thou didst in Christ, more wondrous still thy humility, while working all with the Fisherman's simplicity. (Lauds verse, St. John of Kronstdat, remembered October 31/November 1)
This is the first dramatic reversal this morning: poor becomes rich and the humble are exalted. The second dramatic reversal we can find is in this morning's epistle from Saint Paul. He writes about, "… my former conduct in Judaism how I persecuted the Church of God beyond measure and tried to destroy it. And I advanced in Judaism beyond many of my contemporaries in my own nation, being more exceedingly zealous for the traditions of my fathers." And as he describes himself elsewhere, "I was once a blasphemer and a persecutor and a violent man, but I was shown mercy because I acted in ignorance and unbelief." (I Timothy 1:13)
So what happened to this man whom all people feared? He became paradoxically the Apostle of grace. Like the rich man, he had everything going for him being, "advanced in Judaism beyond many of my contemporaries." We would say he was first in his class at Harvard. The world applauded when he killed Christians who had become both the scourge of Rome and the rock of stumbling for Jews. He was the last person on this planet that anyone would have predicted to become an Apostle. But the Lord knew him. And he was calling him even while Paul, called Saul, was wallowing in disobedience. His conversion to Christ and subsequent preaching to the gentiles set the stage for many of our ancestors to come to faith.
But what of our own times? Does our God still perform dramatic reversals of grace in our own age? Abby Johnson was a woman who held the world in the palm of her hand. Successful, intelligent, and beautiful, she volunteered, worked at and eventually directed a whole clinic for women's reproductive rights in Bryan, TX. The 2019 film Unplanned tells her story: how she began to hear the call of God from the testimony of pro-life activists at the gate of her Planned Parenthood clinic. After receiving the employee of the year award for her work, she subsequently resigned because of the big push to perform abortions. The movie is careful to show the humanity of people from both sides in this great debate of our times, but Abby emerges at the end of it like another Apostle Paul who began the hard work of repentance from the 20,000 lives she assisted in terminating. This month marks the 10-year anniversary of her decision to defend life.
Who this morning is feeling oppressed? Or perhaps like Saint Paul or Abby Johnson you feel in a compromised position of power from which escape would bring great ruin or destruction of everything you hold dear. Know this. Ours is a God of dramatic reversals. That his grace can transform the lowliest of beggars and the most compromised of persecutors into comforted people and apostles of love. And if you don't believe me, ask anyone here to tell you the story of how their life was touched and even dramatically reversed by His grace. In the name of the Father and of the Son and of the Holy Spirit, Amen.
This entry was posted in Media Reviews, Movie Reviews, Sermons and tagged A Christmas Carol, Abby Johnson, abortion, Apostle Paul, Charles Dickens, Ebenezer Scrooge, movie Unplanned, Rich Man and Lazarus, St. John of Kronstadt by Mendicant Monk. Bookmark the permalink.
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text:
Ohio Edition
The Ohio Truth-O-Meter
Says Mary Taylor has a work schedule that is "almost untraceable."
— Mike DeWine on Tuesday, March 20th, 2018 in a TV ad
Mike DeWine TV ad says GOP opponent Mary Taylor's work schedule is 'almost untraceable'
By Amy Sherman on Tuesday, April 3rd, 2018 at 5:05 p.m.
Ohio Lt. Gov. Mary Taylor speaks before a gathering of Republicans at the City Club of Cleveland in Cleveland, Friday, July 7, 2017. (AP)
Ohio Lt. Gov. Mary Taylor is a slacker who isn't ready for a promotion to the governor's mansion, says her Republican primary opponent, Attorney General Mike DeWine.
On the website marydoesnotwork.com, the DeWine campaign posted a statewide TV ad that makes a series of attacks about her work record, including that she was a no-show.
Part of the ad states: "Taylor is dogged by rumors that she skips out on work. A slacker whose work schedule is almost untraceable."
We found that the ad cherrypicks a couple of sentences from one newspaper article about Taylor's work schedule while ignoring her explanation.
Also, the attack pertains to her former job as state auditor (2007-11) and not her current job as lieutenant governor.
DeWine and Taylor are competing in the May 8 Republican primary.
Taylor's work as state auditor
The ad draws on a March 2010 article by the Cleveland Plain Dealer, which reported that since Taylor took office as state auditor in 2007, she had been dogged by rumors about skipping work. The state auditor, an elected position, is responsible for auditing all public offices in Ohio including cities, schools, state universities and state agencies.
"The fact that she admittedly spends as much time working away from her main Columbus office as she is there has only fueled speculation that Ohioans had elected a slacker," the Plain Dealer wrote. "She doesn't document her work hours. She doesn't ask for mileage reimbursement from the state. And she can't tell you how much time she spends working here or there. Her work schedule is almost untraceable, and that's how Taylor seems to like it."
The ad omits Taylor's explanation to the Plain Dealer: Taylor said that she preferred to use one of her seven regional offices, including one close to her home in Canton, rather than travel to Columbus.
The Columbus Dispatch wrote in February 2010 that Taylor was "the first statewide executive officeholder in memory to work most of the week from an office outside the state capital."
Taylor worked several days a week out of the Canton office, allowing her to work close to home where she was raising two teenage boys with her husband, the Dispatch reported. She said she worked in Columbus one or two days a week.
"I'm elected state auditor, I'm not just the auditor of Columbus," Taylor told the Dispatch. "From my perspective, it is manageable, and I think it's more efficient at times."
The Dispatch's editorial board concluded that critics of Taylor were ignoring both the prevalence of telecommuting and the nature of the state auditor's work. The editorial board wrote that 653 of Taylor's 833 employees worked in regional offices away from Columbus.
"As long as the auditor's office is effectively managed, Taylor's location isn't of primary importance," the board wrote.
We asked her campaign spokesman to cite some of her key accomplishments as auditor. Michael Duchesne said her office did "rigorous financial audits of more than 5,600 public entities" and identified millions of dollars in public funds that were handled improperly, spent illegally or stolen, leading to convictions. The auditor's office also uncovered Medicaid fraud and tracked federal stimulus dollars.
The ad said that Taylor's work schedule was "almost untraceable," so we went in search of any record of her calendar while auditor and could not find one. The Ohio State Auditor's office said her executive correspondence was transferred to the state archives. A reference archivist told us that a catalog record showed boxes of correspondence, but didn't show her schedule.
Taylor's work as lieutenant governor
Taylor became the lieutenant governor in January 2011 and was re-elected along with Gov. John Kasich in 2014. Kasich is term limited.
In 2015, Taylor told the Plain Dealer that she "usually" worked in Columbus.
"It's no secret, and I make no apologies for this," she replied when asked about the time she spends close to home. "My family comes first. And you know what? I tell my staff the same thing."
We asked her spokesman in the lieutenant governor's office for a sample of her calendar. David Hopcraft sent PolitiFact her schedule between July and December 2016. The calendar showed the dates and times of policy briefings, staff meetings, public events, media interviews, phone calls and travel time. Hopcraft told PolitiFact that in 2018 she has taken personal time to campaign, but she has also come into the official office about once every 10 days to two weeks.
We asked Hopcraft for a list of her accomplishments while lieutenant governor. Taylor was also the director of the Ohio Department of Insurance for most of her tenure, which meant she guided state policy related to health insurance coverage and other types of insurance, he said. She has also worked to cut business regulations and recruit business to Ohio and was the signatory on an agreement with Michigan and Indiana to reduce the load of nutrients and phosphorus runoff into Lake Erie by 40 percent by 2025.
Neverthless, news reports during Taylor's tenure as lieutenant governor have raised questions about her oversight of workers.
In 2014, Taylor's then-chief of staff Laura Johnson and her administrative aide, Heather Brandt, both quit after a public records request revealed they were working less than they had reported. They had hundreds of questionable hours claimed for work, including for hair and salon appointments, an Inspector General report showed. The Inspector General concluded that employees "operated with inadequate oversight, absence of supervision."
The Columbus Dispatch also found that Johnson worked on state time on the 2014 re-election campaign of Taylor and John Kasich.
A TV ad by DeWine said that Taylor has a work schedule that "is almost untraceable."
This attack refers to Taylor's time as auditor, which ended when she became lieutenant governor in 2011. We were unable to find detailed records of her work schedule as auditor.
By stating that her work schedule was "almost untraceable," the ad creates the impression that she was hardly ever at work, but the ad and the 2010 Plain Dealer article it draws from don't prove that occurred.
The ad omits Taylor's explanation: that she worked out of a regional office close to her home.
The ad also omits any information about where Taylor has worked in her current role. We were able to find her calendar while lieutenant governor by requesting it from her office.
We rate this claim Half True.
https://www.sharethefacts.co/share/36a699a2-2969-4d07-b277-f189259a0311
Published: Tuesday, April 3rd, 2018 at 5:05 p.m.
Subjects: Candidate Biography
Mike DeWine campaign, Marydoesnotwork.com, Accessed March 21, 2018
Cleveland Plain Dealer, "Auditor Mary Taylor says she's always on the job, no matter where she is," March 7, 2010
Cleveland Plain Dealer, "Mary Taylor's moment: Ohio lieutenant governor looks to prove skeptics wrong with big 2018 push," Nov. 22, 2015
Cleveland Plain Dealer, "Mary Taylor has become one of Gov. John Kasich's biggest critics. So why does she still work for him?" March 22, 2018
Columbus Dispatch, "Auditor often working near her Canton home," (Accessed in Nexis) Feb. 14, 2010
Columbus Dispatch Editorial Board, "Telecommute in dispute," Oct. 19, 2010
Lima News, "Editorial: Mud-slinging doesn't stick on Kasich running mate," (Accessed in Nexis) Feb. 23, 2010
Columbus Dispatch, "DeWine ad calls Taylor 'slacker,'" March 21, 2018
Office of the Inspector General, Report investigation and news release, Nov. 24, 2015
Interview, Ryan Stubenrauch, Mike DeWine campaign spokesman, March 21, 2018
Interview, David Hopcraft, Lt. Gov. Mary Taylor spokesman, March 22, 2018
Interview, Michael Duchesne, Mary Taylor campaign spokesman, March 22, 2018
Interview, Tom Rieder, Ohio state archives, March 23, 2018
Interview, Dominic Binkley, spokesman for Ohio Auditor of the State David Yost, March 23, 2018
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