text:
Workplace Mediation
Commercial Mediation
Pursuing a commercial dispute through the traditional routes of litigation or arbitration can be a costly and often damaging exercise for a business, tying up management time and resources in an adversarial process that can take months or years.
Commercial mediation is a business-friendly process, where a trained, experienced professional supports the disputing parties and their respective advisors in engaging on a without prejudice basis with a view to negotiating a mutually acceptable settlement to the issues at hand. Most importantly, commercial mediation allows the parties control of both the content and the outcome of the mediation, so that any mediated settlement must address the interests of both sides, and thus avoiding the risk of being subject to an unpalatable third party finding.
Throughout the process, the mediator supports the parties in identifying their key interests and underlying needs and the options for addressing those needs. Through the use of joint session and separate, confidential 'caucus' meetings, she helps the parties to examine the strengths and weaknesses of their case, analyse risks objectively and develop options for resolution.
Benefits of Commercial Mediation
Lower cost:
Mediation is inexpensive compared to arbitration or litigation in terms of both financial and personal costs.
Mediation is a confidential process. All information arising during, out of, or in connection with the mediation is without prejudice, privileged and not admissible as evidence in any litigation or other proceedings, save where natural disclosure would occur, or where required by law.
Protection of privacy:
Mediation takes place in private and settlement terms and conditions remain private, unless agreed otherwise as part of the settlement.
Less adversarial:
Unlike litigation, mediation is an interest-based process based on consensus and collaborative development, that can allow for ongoing business relationships.
Mediation belongs to the parties – the disputing parties control both the content and the outcome of the mediation.
Swift settlement:
A commercial mediation can often be concluded in a single day, enabling parties to get back to core business.
Binding agreement:
Where the parties come to agreemnt at mediation, the terms of agreement (Mediated Agreement) are drafted (generally by the attending solicitors) and signed by the parties. Unless the parties agree otherwise, the Medaited Agreement, is a legally binding and enforceable contract.
Mediation is a flexible process that can be adapted to the specific requirements of a given dispute.
Creative solutions:
Mediation allows for creative solutions and outcomes, crafted by the parties themselves and tailored to their unique situation.
Preservation of options:
Engagement in a mediated intervention does not preclude participation in a different process, unless agreed as part of the Mediated Agreement.
Since 2004, Margaret has mediated cases in the public, private and voluntary / charity sectors including: contractual disputes; goods and services disputes; staff/patient conflicts; and personal injury cases.
To the best of her knowledge, no mediated agreement that Margaret has helped parties to reach has been set aside, either by the parties themselves
The greatest challenge to any thinker is stating the problem in a way that will allow a solution.
Advanced Working Solutions Limited
Slevoir, Terryglass, Co. Tipperary
Registered in Ireland
m: +353 (0)86 810 9784
e: post@workingsolutions.ie
w: www.workingsolutions.ie
© Advanced Working Solutions Limited 2016


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text:
\section{\normalsize{Introduction}}
In recent years, there has been a significant increase in human monitoring systems. From wearable devices to surveillance cameras to smartphones etc, every device is collecting data about the user and stores it in online database systems. With all these advancements in the field of Artificial intelligence, there is a decline in privacy and information protection of every human being.

In the public healthcare domain, a Fall is considered one of the major emergency events in the world. According to the World Health Organization \cite{WHO}, an estimated 684,000 individuals die every year from fall events. According to the authors of the paper \cite{el2013fall}, it is estimated that by the year 2050, there will be more than one in every group of five people will be more than sixty-five years old. This is a concerning number when considering the growing counts of elderly people and the need for accurate and safe fall detection and prevention systems. With this increase in the rising elderly population, the health care for the elderly is increasing in massive numbers and would become one of the major world economic sectors \cite{s21030947}. This has attracted the attention of many researchers and research organizations over the last decades.

Detecting human activity and fall has become a substantial domain of interest for researchers in the healthcare domain. There are multiple ways of recognizing human activities \cite{hussain2019different}. This includes,
\begin{itemize}
    \item \textit{Radio Frequency based approaches} -  where radio signals are used to recognize human activities
    \item \textit{Sensor based approach} - where sensors like accelerometer, gyroscope, biosensors, pressure sensor, proximity sensor, etc. are used to recognize human activity through wearable/devices.
    \item \textit{Vision based approach} - where camera based sensors are used to detect activity patterns.
\end{itemize}
   With the advancements in Deep learning based networks, there have been a huge increase in body worn sensors based approaches in detecting human activities \cite{wang2019deep}.On the other hand, vision based systems have become a prominent and robust solution in detecting a fall and other activity patterns.  \\

The main concern with the vision-based systems is that, although these systems have great performance in recognizing human activities, there is a huge decline in the privacy of the subject that is monitored using these systems. In recent years, there has been a huge increase in the use of event-based cameras. These cameras differ from the traditional camera frames by asynchronously measuring the brightness changes at every pixel instead of capturing images at a standard rate\cite{s21030947}.

Event based sensors can perform with extremely low latency, requiring very low computational power. The event based DVS camera used here is called the DAVIS346redColor neuromorphic vision camera. The 3 Dimensional video frames from this camera is converted into 2 Dimensional video frames for using the conventional video classification models for comparing and benchmarking the performance. Conventional video classification models shows extraordinary performance while classifying 2 Dimensional video frames. But the Dataset extraced from the neuromorphic vision camera consists of 3 Dimensional characteristics and are not suitable to be benchmarked with the current state of the art approaches.

In this paper, we converted the neuromorphic vision camera frames into the classic 2 Dimensional frames and  we fine-tuned and retrained the standard video classification architectures that includes  R(2+1)D\cite{tran2018closer},  X3D\cite{feichtenhofer2020x3d}, MViT\cite{fan2021multiscale}, C2D\cite{zheltonozhskii2021contrast}, CSN\cite{tran2019video} and SlowFast ResNet50\cite{feichtenhofer2019slowfast}   to classify the actions performed in the video frames of neuromorphic vision datasets and also detect a fall. We then combined the datasets to include both Action Recognition and Fall Detection to make the model more robust in classifying both the tasks.

\section{\normalsize{Related Work}}

\normalsize{\emph{\subsection{Fall Detection and Action Recognition}}}
  Recognizing human actions have become a significant part of the research in recent times. The authors of the paper \cite{8250154} proposed a Support Vector Machine (SVM) machine learning based approach in recognizing human actions using a wearable sensor. The authors Jindong et al., of the survey paper \cite{wang2019deep} summarizes different approaches for sensor based activity recognition using Deep learning based approaches. The authors Javier et al., \cite{10.1007/978-3-642-22362-4_19} proposed a dynamic sliding window based approach where the window size and the time shift are not fixed at every step and are adjusted dynamically.
\normalsize{\emph{\subsection{Neuromorphic Dataset}}}
Event based cameras are gaining attention in the research community. The authors of the review paper \cite{gallego2019event} explains various optical flow based approaches to track the events over time. The authors of the paper \cite{8753848} propose a deep learning based appraoch for tracking the features over time and estimating the optical flow. Authors Salah et al.,\cite{al2021making} proposes the use of support vector machine (SVM) and K-Nearest Neighbours (KNN) based machine learning approach for detecting human action on Neuromorphic vision datasets.

Authors He et al.,\cite{he2020comparing} proposed an approach comparing the Recurrent Neural Network (RNN)s performance over Spiking Neural Network (SNN) on neuromorphic vision dataset.
\normalsize{\emph{\subsection{Video Classification}}}
  With the advancements in deep learning \cite{krishnan2021vision}, there has been a significant performance by the deep learning-based architectures in training and classifying actions that are similar to each other.
 \subsubsection{R(2+1)D}  The authors Tran et.al \cite{tran2018closer} proposed a 3D Convolutional Neural Network-based architecture that refines the spatial and temporal components to yield a significant performance in accuracy gains over the standard 2D Convolutional Neural Network for recognizing actions on video frames. With this approach the authors were able to achieve two advantages, By separating the spatial and temporal components the optimization of the model was easier and maintains the number of parameters by increasing the non-linearity.
 \subsubsection{CSN} The authors Tran et al, \cite{tran2019video} proposed an updated 3D Channel Separated Convolutional Neural Network architecture, that helped in substantial improvement in performance and thereby reducing the cost of computation. The performance was achieved by decomposing the convolution channels to either 1×1×1 conventional convolutions or k×k×k depthwise convolution which would help in separating channel interactions from spatiotemporal interaction. Similar channel separation networks have shown improved performance and lowered computation time \cite{krishnan2021swiftsrgan}.
 \subsubsection{C2D}  The authors Evgenii et al, \cite{zheltonozhskii2021contrast} proposed a semi-supervised learning-based approach to improve the performance of learning with noisy labels (LNL) methods. With this approach, the authors were able to achieve robust performance on a severe noisy dataset.
 \subsubsection{SlowFast} The authors Christoph et.al, \cite{feichtenhofer2019slowfast} proposed an SlowFast network architecture operating at two different frame rates. The path with a lower frame rate extracts the spatial features from the sequence and the path with a higher frame rate extracts the temporal features from the sequence. This approach helps in achieving higher performance in action recognition in videos.
 \subsubsection{X3D} The author Christoph \cite{feichtenhofer2020x3d} proposed an efficient network that expands a single axis at every step. Thereby maintaining the accuracy performance and maintaining the model lightweight.
\subsubsection{MViT} The authors Haoqi et.al, \cite{fan2021multiscale} proposed a vision transformer-based approach for video recognition. This approach uses multiscale features where the initial input resolution is smaller and expands the capacity of the channel which helps in reducing the spatial features. This approach helps in learning low dimensional features in the initial layers and complex high dimensional features in the deeper layers. By this approach, the authors were able to achieve higher accuracy on video recognition tasks.

\section{\normalsize{Methodology}}
\begin{figure*}[tp]
\vspace*{25pt}
\centering

\subfloat[Gamma Contrast]{\includegraphics[width=0.20\textwidth]{Images/1.jpg}}\
\subfloat[Frequency Encoding]{\includegraphics[width=0.20\textwidth]{Images/2.jpg}}\
\subfloat[Gaussian Blur]{\includegraphics[width=0.20\textwidth]{Images/3.jpg}}\
\subfloat[Kernel Edges]{\includegraphics[width=0.20\textwidth]{Images/4.jpg}}\
\subfloat[CLAHE]{\includegraphics[width=0.20\textwidth]{Images/5.jpg}}\
\subfloat[Histogram Equalization]{\includegraphics[width=0.20\textwidth]{Images/6.jpg}}\
\subfloat[Morphological Transformation]{\includegraphics[width=0.20\textwidth]{Images/7.jpg}}\
\subfloat[SAE]{\includegraphics[width=0.20\textwidth]{Images/8.jpg}}\
\caption{Preprocessing and Data Augmentation sample frame on a Fall action Sequence.}
\label{fig:preProcess}

\end{figure*}
\normalsize{\emph{\subsection{Dataset}}}
The standard benchmarking neuromophic vision dataset \cite{miao2019neuromorphic} is considered here for the evaluation of the performance of MViT architecture. The dataset is recorded using the DAVIS346redColor neuromorphic vision camera. The Neuromorphic camera collects the spatio-temporal event stream consisting of 4 data-points for every event. These data-points consists of Timestamps, X-Coordinates, Y-Coordinates and Polarity information.

\normalsize{\emph{\subsection{Dataset Preprocessing}}}
The asynchronous event streams are converted to image frames using the encoding techniques. Encoding techniques help create meaningful image sequences that can be processed and interpreted using standard deep learning techniques.

\subsubsection{Frequency Encoding}
The frequency encoding technique is used to cancel out the noise from the sensor data by using the polarity information in the data. Given a pixel location (x, y), the frequent occurrences of positive and negative events are accumulated over a given interval and the value of the pixel is computed using the range normalization technique\cite{chen2018pseudolabels}. This helps in improving the edges of the object present in the image. A sample image for this encoding technique is shown at Figure \ref{fig:preProcess} (b)

\subsubsection{Surface of Active Events (SAE)}
Now utilizing the timestamp information from the data, the Surface of Active Events (SAE) approach helps in changing the pixel value at every (x, y) location according to timestamp t. This generates a grayscale image corresponding to the timestamp of the event at every pixel \cite{2017}. Numerical mapping is then applied to generate an 8-bit single-channel image. A sample image for this encoding technique is shown at Figure \ref{fig:preProcess} (h)
\normalsize{\emph{\subsection{Feature extraction}}}
The fall detection dataset consists of 4 classes which include, falling down, picking up, sit-down and tying shoes. The action recognition dataset consists of 10 classes that include arm-crossing, getting up, jumping, kicking, picking up, sit-down, throwing, turning around, walking, and waving. Since both datasets consist of 2 overlapping classes, these two were considered once and the total classes for our combined dataset come to be 12.  The actions on these datasets are performed on a subset in the sequences for a duration of about 5 seconds. These features representing the action class are extracted from the dataset and the video frames are prepared for the training.  This helps the model to understand and classify the fall and other actions with greater accuracy. We randomly chose a sequence of 16 frames from a total of 25(FPS) * 3(duration) frames.

\normalsize{\emph{\subsection{Data Augmentation}}}
The combined dataset consists of 30 recordings for every class with a 5 seconds average length of actual action. since the amount of data is small, the combined dataset has to be augmented in order to prepare more synthetic data from the actual dataset. This also helps in preventing the overfitting of the model. The combined dataset is augmented by adjusting the gamma contrast by scaling pixels value Figure \ref{fig:preProcess} (a), equalizing the histogram within image patches by using the CLAHE (Contrast Limited Adaptive Histogram Equalization) technique Figure \ref{fig:preProcess} (e), applying edge detection to detect the region around the object, and applying a gaussian blur Figure \ref{fig:preProcess} (c) to reduce the excessive noise in the combined dataset. These augmented sequences are done across all the classes in the training and validation datasets thereby increasing the fall detection dataset. Figure \ref{fig:preProcess} shows various samples outputs from the feature extraction and data augmentation samples.
     \begin{table}
     \centering
    \caption{Dataset Split}
    \label{table:data}
    \renewcommand*\arraystretch{1.6}
    \normalsize
   \begin{tabular}{|>{\centering\arraybackslash}m{1in}|>{\centering\arraybackslash}m{2in}|}

    \hline
    Video Sequence & Combined Fall Detection + Action Recognition  \\
    \hline
    Train    & 4328\\
    Validation  & 1072\\
    Test  & 24\\
    Total   & 5424\\
    \hline
    \end{tabular}
    \end{table}
\\
\section{\normalsize{Experiments and Analysis}}
\normalsize{\emph{\subsection{Experimental Setup}}}
    We tested out R(2+1)D\cite{tran2018closer}, SlowFast\cite{feichtenhofer2019slowfast}, X3D\cite{feichtenhofer2020x3d}, MViT\cite{fan2021multiscale}, C2D\cite{zheltonozhskii2021contrast}, CSN\cite{tran2019video} and SlowFast ResNet50\cite{feichtenhofer2019slowfast} pre-trained models and fine-tuned it on the combined dataset. In transfer-learning, all other layers except the last one is frozen and the last layer's output neuron is updated based on the number of classes on the datasets. We combined the classes of both the action recognition and fall detection datasets. So the total classes (output layer of the model) is 12. The table \ref{table:data} describes the distribution of training , validation and test sets.\\

    We chose these six models in specific as they have shown promising results when fine-tuning on various video datasets. These models in general have achieved state-of-the-art results on video action recognition tasks. Hence we finetuned and benchmarked them on the neuromophic vision dataset \cite{miao2019neuromorphic}.\\

    We experimented with various optimizers, learning rate, and activation functions between the last linear layers using Optuna framework\cite{akiba2019optuna} to find the best combination. We conducted 50 experiments with different combinations of the optimizers, learning rate, and activation functions for each model. The following are the best optimizer and activation functions for each model the yielded the best performance.\\

    The best X3D\cite{feichtenhofer2020x3d} model was trained with AdamW and ReLU activation between the linear classifier layers, the best MViT\cite{fan2021multiscale} model was with Rectified Adam(RAdam)\cite{liu2021variance} that rectifies the variance of adaptive learning rate and relu activations between the linear classifier layers, the best C2D\cite{zheltonozhskii2021contrast} model was with RAdam\cite{liu2021variance} optimizer and GELU activation between the last layers, the best CSN\cite{tran2019video} model was with RAdam\cite{liu2021variance} optimizer and ReLU activation between the last linear layers and, the best SlowFast ResNet50\cite{feichtenhofer2019slowfast} model was trained with Adam and GELU activation between the last linear layers.\\

    All four models are trained using PyTorch on RTX 2070 Super GPU with gradient accumulation and mixed precision. Early Stopping and Stochastic Weight Averaging are used for preventing the network from over-fitting. Figure \ref{fig:subim6} shows the transfer learning architecture used to evaluate multiple model architectures. \\

    For the dataset, we used a sliding window-based approach considering 3(seconds) of data with 25 frames per second took a random 16 sequence frame from it. We also used various augmentation techniques like Gamma Contrast, Histogram Equalization, CLAHE and, Gaussian Blur.

    \begin{figure}[!ht]
    \vspace*{20pt}
    \includegraphics[width = 8.2cm, height = 5cm]{Images/mvit-paper-arch.png}
    \caption{\footnotesize{Model Architecture}}
    \label{fig:subim6}
    \end{figure}

\normalsize{\emph{\subsection{Evaluation Criteria}}}
    To evaluate the performance of our models, we used Accuracy, Precision, Recall and F1-score. All these metrics put together, can accurately depict the model's real-world performance.

    \begin{equation}
    Accuracy  = \frac{TP+TN}{TP+FP+FN+TN}
    \end{equation}
    \begin{equation}
        Precision = \frac{TP}{TP+FP}
    \end{equation}
    \begin{equation}
        Recall = \frac{TP}{TP+FN}
    \end{equation}
    \begin{equation}
        F1-score = 2 * \frac{Recall * Precision}{Recall + Precision}
    \end{equation}

\section{\normalsize{Results}}
         \begin{table} [ht]
    \caption{Performance}
    \label{table:performance}
    \renewcommand*\arraystretch{2}
    \normalsize
  \noindent \begin{tabular}{|p{13.5mm}|p{12.5mm}|p{12.5mm}|p{8.5mm}|p{8.5mm}|p{8.5mm}|}

    \hline
    \textbf{Data} & \textbf{Model} & \textbf{Precision} & \textbf{Recall} & \textbf{F1} & \textbf{ACC}\\
    \hline

    Combined  & DVS-C2D    & 0.916 & 0.916 & 0.916 & 0.916\\
   (Fall  & DVS-SlowFast       & 0.916 & 0.833 & 0.861 & 0.833\\
      +   & DVS-CSN      & 0.750 & 0.708 & 0.722 & 0.708 \\
   Action) & DVS-X3D  & 0.645 & 0.625 & 0.625 & 0.625\\
   Dataset & DVS-R2+1D & 0.875 & 0.875 & 0.875 & 0.875 \\
    & \textbf{DVS-MViT}   & \textbf{0.958} & \textbf{0.958} & \textbf{0.958} & \textbf{0.958}\\
    \hline
    \end{tabular}
    \end{table}

    The above table \ref{table:performance} shows the performance of the models with the best performing optimizer and activation function combination. Since these models are fine-tuned, trained, and evaluated for Dynamic Vision Sensing (DVS) datasets, we named the new models as DVS-C2D, DVS-SlowFast, DVS-CSN, DVS-X3D, DVS-R2+1D, and DVS-MViT. Clearly, from the above table, DVS-CSN and DVS-X3D were the least performing models with an accuracy of 0.708 and 0.625 and an F1 score of  0.722 and 0.625 respectively. The DVS-C2D and DVS-R2+1D rank in the second and third places with an accuracy of 0.916 and 0.875 and F1 score of 0.916 and 0.875 respectively and DVS-SlowFast on the fouth spot with an accuracy of 0.833 and F1 score of 0.861. From the table above, we can infer that the DVS-MViT model was the best performing model with an accuracy of 0.958, precision of 0.958, recall of 0.958 and, f1-score of 0.958. Multivariate Vision Transformer-based architecture is the current state-of-the-art approach for video classification applications. Hence, we see a similar performance on our application too.

\section{\normalsize{Conclusion and Future Work}}
In this work, we demonstrated the process of using conventional video classification models for the Neuromorphic Vision dataset. We fine-tuned six state-of-art conventional video classification models and benchmarked the performance of these models into the combined dataset from action recognition and fall detection. Since this is the first of a kind approach, we compared the performance among other models to report the best-performing architecture.

    The DVS-MViT \cite{fan2021multiscale} model was the best performing on the combined fall detection and action recognition dataset. The DVS-MViT achieved an accuracy of 0.958 and an F1-score of 0.958. We achieved the new state-of-the-art in both action recognition and fall detection by fine-tuning the MViT model with RAdam\cite{liu2021variance}. MViT is the current state-of-the-art model on video classification tasks. In future work, we are planning to develop a new architecture that can work in real-time with low latency and low computational capabilities and benchmark the performance and computation time along with these architectures.

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redpajama_set_name: RedPajamaArXiv


Priyanka Chopra's & Nick Jonas just sold their wedding picture rights for 2.5 million! - here are all the recent details of #Nickyanka Wedding!
Priyanka Chopra and Nick Jonas have literally been painting the town red ever since their roka and looks like they are gonna be trending for months to come. After I was just recovering from her bridal shower in New York City and then flying down to Amsterdam to paint the town all shades of red during her bachelorette, there has been some interesting development!
The couple is going to get hitched in Umaid Bhawan in Jodhpur, Rajasthan in a very regal fashion in the last week of November and it's going to be a Hollywood-Bollywood version of a royal wedding. Reported by yours truly already!!! Also, it comes as no surprise after all, their entire relationship has been totally fairytale-esque.
Although the latest buzz goes by - "the couple has sold the rights to exclusive images to an international publication for a staggering 2.5 million dollars (Rs 18 crores)!", reports a source. YES you read that right.
P.S. - The palace has 347 rooms and boasts of being one of the largest private residences in the world. It's also supposedly considered the top three hotels on the planet. Yep, ON THE PLANET.
The wedding will be a lavish affair and festivities will last a whole week. There will be a Christian ceremony before the madness of the desi shaadi begins!
A source close to the couple explained sais, "Nick will wear ivory and Priyanka will be in red, while the bridesmaids will wear Ralph Lauren outfits for the Christian wedding, because the couple wore the brand at their first public appearance together at the Met Gala last year," the source said.
Well well, can't really wait for this Hollywood-Bollywood Royal Wedding already!


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text:
Home > Real Estate Articles
Vietnam billionare bets on move from gold to land
Pham Nhat Vuong became a billionaire selling a Ukrainian instant-noodle business and creating Vietnam's biggest property developer.
The 44-year-old chairman of Vingroup Joint-Stock, which is building eight mixed-use projects in prime locations in Vietnam at a total cost of more than $4 billion, plans to get even richer selling high- and mid-level apartments to Asians who want to reallocate their holdings from cash and gold.
"Vietnamese people still hold a lot of gold as their savings," Vuong said in an interview at the company's headquarters in Hanoi. "Vietnamese are very similar to the Chinese. They just can't sit on gold bars underneath their beds. Eventually they will pull out their gold bars and invest. It will be a boom for the real-estate market."
Vuong and his wife, Pham Thu Huong, own about 50 percent of Vingroup, Vietnam's fifth-biggest company by market value. Excluding shares he has pledged as collateral to finance some of the company's real estate projects, Vuong is worth $1.3 billion, according to the Bloomberg Billionaires Index. He has never appeared on an international wealth ranking.
Vingroup is seeking to raise about $300 million in a share sale in Singapore by August to fund its Vietnamese expansion. The company shelved plans for a Singapore listing last year when the city-state's benchmark Straits Times Index fell 17 percent. But Vuong said he also has plans to build properties in Singapore or Hong Kong, where some of Asia's biggest developers are based.
"If you give me $10 billion now, I would spend it all on construction because there's so much more to build," Vuong said. "There is tremendous demand in Vietnam."
Vuong studied geological economic engineering at Moscow Geology University in Russia. After school, he moved to Ukraine, where he created LLC Technocom, a producer of more than 100 dehydrated food products, including instant noodles and mashed potatoes.
He sold the company for an undisclosed price to Nestle in 2010. Technocom had revenue of more than $100 million at the time of the sale. Based on the average revenue multiple of mergers and acquisitions involving food companies worldwide in 2010, the company could have been valued at $150 million when the billionaire sold the operation to the Vevey, Switzerland- based food company that year, according to data compiled by Bloomberg. Vuong declined to comment on the sale price because of a confidentiality agreement.
Vuong returned to live in Vietnam in 2001, when he started resort developer Vinpearl Joint-Stock Co. He set up Vincom Joint-Stock Co., which develops mid- to high-end commercial and residential properties, the following year. Vinpearl and Vincom, both of which were listed, merged to form Vingroup this year.
Vingroup has controlling interests in 18 mixed-use and resort projects it is building in Vietnam, including in Hanoi, Ho Chi Minh City, Hung Yen and Da Nang. It opened shopping mall Vincom Center A Ho Chi Minh City, which houses luxury names including Hermes and Christian Dior, in the commercial capital earlier this month. Its effective interest in the projects it is building is about 93 square kilometers as of Sept. 30.
Vingroup's projects in Hanoi, known for its French colonial architecture and tree-lined boulevards, are within 10 kilometers of the city center. The government, which created a market economy with Doi Moi, or economic renovation policies, in 1986, is seeking to develop the capital into a modern metropolis.
At the mixed-use Royal City project, situated at an old factory site about 5 kilometers from Hanoi's central business district, construction continues around the clock. Buyers of the high-end apartments, which are being sold at $1,800 to $2,500 a square meter, can adapt the design of their units to suit their "fengshui," or Chinese geomancy, needs. The project will include the first indoor water park and ice-skating rink in Vietnam when completed next year.
At Times City, located in a bustling residential and commercial area in Hanoi, Vingroup opened Vietnam's first hospital that offers single-patient rooms and presidential suites. The project, scheduled to be completed in 2014, also includes residential blocks, a mall and an international school.
Vuong, a father of three, said he wants to sell a new "living experience" for Vietnamese people.
"We want to bring better products to Vietnam," he said. "My hope is through changes in lifestyle and the products we consume, it will affect the people and change the way they are thinking. The country will develop further from where it is today."
Vingroup has acquired land from factories that are relocating from central districts to the outskirts of the city as the capital pushes through its urban renewal plan. The company owns about 10,200 hectares of land in prime locations in Hanoi, the southern commercial capital of Ho Chi Minh City, as well as the coastal cities of Nha Trang, Da Nang and Hai Phong.
Buying land in prime or unique locations has enabled Vingroup to sell its properties at a premium to market rates, even during a downturn, said Phuong Ton, an analyst at Viet Capital Securities in Ho Chi Minh City. Another key selling point is the developer's ability to complete its projects within a short period of time, she said.
Vingroup "has a special advantage in terms of capital; that's why they can target those projects which require a lot of leverage right at the beginning," Ton said. "Most of the properties that they have introduced in Hanoi and Ho Chi Minh City have incorporated some new development concept in Vietnam."
The company sold $300 million of convertible bonds to international investors this year. It raised $100 million in the first overseas convertible bond sale by a Vietnamese company in 2009. Vingroup had assets of about $1.7 billion and liabilities of $1.3 billion as of Dec. 31, according to data compiled by Bloomberg.
The billionaire said he will develop properties outside of Vietnam "when there's a good opportunity." He hired McKinsey & Co. this year to conduct a strategic review of Vingroup's business and advise the company on its future.
"Given their vision, limiting themselves to Vietnam's boundaries would limit their growth potential," Viet Capital Securities' Ton said.
Vuong travels to other cities for ideas. When the developer was building the Vincom Center in Ho Chi Minh City, he organized a trip to Singapore for the complex's retail tenants, paying for their airfare and accommodation. They went to Ion Orchard, jointly owned by Singapore-based CapitaLand and Hong Kong's Sun Hung Kai Properties, to study its shop front and other features of the luxury shopping mall.
Before building Vinpearl Resort Nha Trang, his first hospitality project, nestled on a private beach by the South China Sea, Vuong visited the hotels in Phuket with a screwdriver stashed in his suitcase. He used the tool to dismantle hotel room fittings — before reassembling them — to understand how they were put together.
"He's very modest and down-to-earth," said Le Thi Thu Thuy, chief executive of Vingroup and a former Lehman Brothers investment banker. "He always tells management to continue learning every day, that you can't be happy, content with what you already have."
The size of Vuong's target customers is unclear. Vietnam's urban population is growing 3.4 percent annually, according to the World Bank, with growth fastest in and around the two biggest cities, Ho Chi Minh City and Hanoi. Only about 5 percent of the population in the two largest cities is able to afford homes currently being produced by large developers, according to the lender.
About 47 percent of households in Hanoi and Ho Chi Minh City earn an average annual income of $7,425, according to property broker CBRE Group Inc.'s local unit, which said it would take 51 years to save enough money to buy a mid-end condominium that would cost $72,000.
The majority of real estate purchases in Vietnam are still made without a mortgage. It would take the average household 242 years to save enough to buy a $342,000 luxury condominium, according to CBRE's local unit.
Home prices in Ho Chi Minh City surged almost threefold from 2004 to the first quarter of 2008, according to CBRE data. Values then fell as the government raised interest rates and restricted lending for real estate and other non-productive sectors, in a bid to tackle inflation.
The State Bank of Vietnam has lowered its key refinance rate by 500 basis points since March to 10 percent, as annual inflation plunged back toward single digits from a high of 23 percent in August last year.
Vingroup sold 7,000 to 8,000 residential units at the end of 2010 and early 2011, Vuong said. The apartment units at the Vincom Center in Ho Chi Minh City, which also boasts a spa and fitness center, were sold in 2010 at an average selling price of about $8,000 per square meter, a record in Vietnam.
Vuong, who values discipline and rewards those who do well, upholds a slogan for employees: "Speed, creativity and efficiency in everything you do, in every action."
The billionaire plays soccer and basketball every week with Vingroup employees at the company's sports center, often trading his suit and tie for a company soccer team's red jersey and shorts. He plays the position of striker, whose job is to score goals.
"Attacking is better than defending," he said, adding that he applies that principle to everything he does.
— With assistance from K. Oanh Ha and Diep Ngoc Pham in Hanoi and Peter Newcomb in New York.
(Nguồn: http://www.independent.co.uk)
Capital flow stops heading for Vietnam
Real estate-related outstanding debts worth $50 billion
Foreign firms also bog down in real estate projects
Vietnamese Real Estate Market Meltdown
Vietnam's banking problems reflect turbulence in the economy
Vietnam vows to liberate 1000 trillion dong buried under real estate projects
Weak Dong could hit Vietnam's real estate market
Vietnam real estate market now recovering: construction minister
In Vietnam, Growing Fears of an Economic Meltdown
Vietnam opens real estate sector to foreigners
Taking a Bath in Vietnam Real Estate
Property market in Vietnam slowing due to high rates and lack of lending
Gamuda property projects in Vietnam doing well despite high interest rates
Vietnam: will property rights solve land disputes?
Vietnam's HAGL plays down 'negative watch' rating status

redpajama_set_name: RedPajamaCommonCrawl


Her family didn't know it at the time, when she was 12 years old and her ribs seemed to collapse in a collision on a soccer field, but Taylor McCartney had something much worse than broken bones.
The word rare is overused. But in this case, it only starts to describe the story of a disease, a girl from a small town near Savannah, Ga., a doctor in Jacksonville and how their lives came together.
Fewer than 200 people have been diagnosed with Gorham's disease. In the world. Ever.
If you go online and do a search for Gorham, you'll find information about a manufacturer of sterling silver, a family business in Illinois and a town in Maine faster than you will learn about Lemuel Whittington Gorham, the doctor credited with discovering a disease in 1954. Nearly 60 years later, the cause remains unknown, the best method of treatment uncertain.
Because Gorham's is so rare, there aren't charity runs to raise money or awareness. There aren't rubber wristbands. There aren't survivor support groups in even the biggest of cities, let alone Ludowici, Ga. (pop. 1,723).
But Taylor, now 16, does have her own personal wristband and support group. It starts with her parents -- mother Leslie Wiggins, stepfather James Wiggins and father Shawn McCartney -- and extends to a doctor-patient bond that goes far beyond office visits.
Sitting at a table in a Southside Jacksonville restaurant, she held out her arm and showed off the bracelet and the charms dangling from it, each one another symbolic gift from her doctor and his wife.
A soccer ball for her love of sports and competition. A crown for when she was named Long County homecoming queen. A couple of hearts from "Papa E" and "Mama Lo."
That's what she calls them. Most people know them as Eric Loveless, pediatric surgeon at Nemours Children's clinic and chief of pediatric orthopedics at Wolfson Children's Hospital, and Dolores "Loly" Loveless, an occupation medicine physician.
But Taylor, sitting next to Mama Lo at the table, says they're family. And when Mama Lo echoes this, Taylor's mother nods and says: "When I say my prayers, I always include them. … It's like our steps were just ordained to find them."
The first step was that collision on the soccer field. Her mother still winces as she vividly describes Taylor's shoulder seemingly folding into her chest. But Taylor says she only remembers one detail.
"I got the ball," she says with a smile. "As long as I got the ball, I was fine."
When the pain in her ribs and shoulder persisted long after the game, it became clear she wasn't fine. Her pediatrician said she had scoliosis, a curvature of the spine that in many cases doesn't require treatment. So they went a couple of years, waiting and hoping it would get better. It didn't. It kept getting worse.
She became a teenager. A beautiful teenager, but one who was hunched over and twisted more like an elderly woman. It got to the point where, when she tried to go down the stairs in their house, she had to use her hands to help lift a leg.
The breakthrough came in the form of a nasty bout of bronchitis.
She ended up in a clinic where a doctor began pressing on her back, asking about it. He didn't know what was wrong. But he didn't think it was scoliosis. He suggested they either go to a children's hospital in Atlanta or Jacksonville.
The next morning Wiggins called Nemours Children's Clinic in Jacksonville and asked to make an appointment with Eric Loveless. She had looked at his bio online and liked his expertise and areas of interest. Plus, something about his photo made her feel comfortable with him.
She had no idea that a couple of decades earlier, during a pediatric fellowship in Dallas, Loveless had a patient, a 7-year-old boy, with a rare disease called Gorham's. What made it even rarer, and more complicated, was that it was in the boy's spine. Same as Taylor.
She came through the door and Loveless knew what was wrong. Tests confirmed it and by that evening she was in surgery.
"It was one of those things," Loveless said. "Right time, right place."
It was more than the start of her long and ongoing experimental treatment - there is no standard treatment for Gorham's - involving chemotherapy, radiation, antiviral drugs and more surgery.
It was the start of a strong bond between patient, doctor and their families.
When Loveless did the Augusta Half Ironman several months later, he stopped at her house on the way back to Jacksonville and gave her the medal. That's when Loly Loveless first met Taylor and her family.
"Anybody who hasn't met her and is going to meet her, I just say, 'Get ready be sucked into the vortex of Taylor,' " she said. "She always moved my husband with her attitude and courage. He fell in love with her family. Then I got sucked into it. And here we are. … We are family. We really are."
She emphasizes that while she is a physician, she isn't Taylor's doctor. Her job involves hugs and support. If Taylor is stuck in a hospital bed, she has been known to crawl into the bed beside her.
"I think one of the reasons I do it is it drives my husband insane," she said. "He says, 'You're not supposed to do that!' "
For the record, when she mentions this, her husband does tell her that she shouldn't be doing this. But he clearly understands wanting to go above and beyond for her.
Taylor and her family tell the story about the time she ended up in a Savannah hospital with respiratory issues. A mobile ICU unit was sent from Jacksonville to pick her up. And to their surprise, Loveless was in the vehicle.
They have a picture of her reaction when he walked into her room to pick her up. Not that a photo captured the best part, a sound of surprise and joy.
"He made my monitor start beeping," Taylor said with a grin.
She has had plenty of setbacks, including breaking one of the rods that was initially put in her spine.
"Which is titanium, by the way," Shawn McCartney said, fist-bumping his daughter.
They joke about it now. But it was a frighteningly serious time, with compression on her spinal cord causing paralysis, leading to a series of complicated surgeries, including one on a date that's easy to remember, Nov. 11, 2011 - 11?/11/?11.
"I told her that at 11:11 in the morning, when I knew she was in surgery, I stopped everything I was doing," Loly Loveless said.
They figure the number 11 seemed fitting, upright and strong.
And this year, doctor and patient were both walking tall as he proudly escorted her down a runway in the Children's Fashion Show, an annual event to benefit Wolfson Children's Hospital.
She's had more setbacks since then, cracking a few ribs in April and ending up in the emergency room. But as always, she seemed remarkably resilient. A few days later, she arrived at his office wearing a brace on her torso and a smile on her face.
When Loveless entered the exam room, she was sitting on the table with Mama Lo. After he gave her a hug, she reached up, grabbed the edges of his bow tie and carefully straightened it.
That simple, sweet moment seemed more significant than any charm bracelet. And it was followed by banter, Loveless teasing Shawn McCartney, who is built more like a bodybuilder than a runner, about his pledge to do a triathlon with him this fall.
They're going to be Team Taylor, he said.
In many ways, they already are.
"Sometimes when I drive back and forth I think about it and wonder how many other doctors and patients are like this," Shawn McCartney said.
The irony is that if this rare disease had been found in an extremity, an arm or a leg, they likely wouldn't have spent so much time together the last few years. They basically could have cut out a piece of the bone, replaced it with a prosthesis and been done with it. But with the spine, it's not that simple.
So their paths not only brought them together, they have kept them together.
There are cases of the disease just disappearing for good, almost as mysteriously as it appeared. When this was mentioned in the exam room, Taylor's dad knocked on one of the wooden cabinets.
"That's certainly the hope," Loveless said. "There are potential things I can do for the ribs down the line, but I want to get the disease under control before I talk about doing reconstruction. We want to get her all fixed up so she can go to college."
Not that the dream scenario - the vanishing bone disease vanishes and Taylor heads off to college - means their paths part.
Papa E and Mama Lo have been telling her that if she goes to college in Jacksonville, she can live at their house.
And after a Florida Forum event several months ago, Jacksonville University President Tim Cost came over to their table, shook Taylor's hand and said he was inspired by her story.
When he said he hoped that maybe someday she would attend JU, Mama Lo didn't miss a beat.
"Do you have a card?" she said.
Taylor has taken her competitive drive and transferred it from soccer and softball fields to classrooms. She says she wants to go into medicine and work in the operating room as an assistant to Loveless.
Imagine trying to come up with a fitting charm for that trip to the hospital.
It would have to be something rare. Very rare.


08/02/2018 10:00 AM EDT - 08/14/2018 4:37 PM EDT CLOSED!
Lot 9 of 215: ANDERSON, F. Hints on Polo and the Care of Polo Ponies in India.
Hints on Polo and the Care of Polo Ponies in India. Allahabad: The Pioneer Press, 1921. Publisher's printed wrappers. 7 x 5 inches; 3, 127 pp.; illustrations. Some wear to wrappers and front hinge.


text:
Indonesian health workers receive COVID-19 vaccination
EDNA TARIGAN
A worker carries medical equipment during a COVID-19 vaccine distribution in Medan, North Sumatra, Indonesia, Wednesday, Jan. 13, 2021. Indonesian President Joko Widodo on Wednesday received the first shot of a Chinese-made COVID-19 vaccine after Indonesia approved it for emergency use and began efforts to vaccine millions of people in the world's fourth most populated country. (AP Photo/Binsar Bakkara)
JAKARTA, Indonesia (AP) — Indonesia started vaccinating health workers and public servants for COVID-19 on Thursday, a day after President Joko Widodo received the first shot of China's Sinovac Biotech vaccine.
The Health Ministry is planning to vaccinate more than 1.3 million health workers and 17.4 million public officials in the first stage.
Indonesia, the world's fourth most populous country, plans to vaccinate two-thirds of its population of about 270 million people — or just over 180 million people.
"The pandemic is still going on and health care workers are the front-liners in caring for COVID-19 patients," Deputy Health Minister Dante Saksono said.
The first 25 health workers to get the jab were employees of Jakarta's Cipto Mangunkusumo Hospital.
Hospital Director Lies Dina Liastuti said a total of 6,000 will be vaccinated at a rate of 275 a day.
Indonesia's Food and Drug Authority green-lighted emergency use authorization of the vaccine produced by China's Sinovac Biotech Ltd., after the country's highest Islamic body last week said the shot is fit for consumption by Muslims. Indonesia is the world's most populous Muslim nation.
The Health Ministry expects it will take 15 months for Indonesia to complete the vaccination program, through March 2022.
The rollout comes as Indonesia registered the daily record in COVID-19 infections and fatalities on Wednesday, with 11,278 cases and 306 deaths in the last 24 hours. The country has recorded more than 858,000 infections and over 24,900 deaths in total.
Some scientists warn that not enough data has been published about the effectiveness or safety of the Sinovac vaccine — and there is uncertainty over just how protective it is. It has yet to be tested in tens of thousands of people in the kind of rigorous study considered necessary before being licensed for wide use.
Researchers in Brazil last week had pegged the vaccine as 78% effective at protecting against symptomatic illness — but this week, after a closer look at mild cases, they announced data showing overall, effectiveness is just over 50%.
Coronavirus Vaccine: All the Celebrities and Public Figures Who Have Received It So Far
Add Queen Elizabeth II and Martha Stewart to the list.
Jordan is one of the first countries to start COVID-19 vaccinations for refugees
The country has procured three million doses of vaccines from Pfizer and Sinopharm and is prioritizing those with underlying conditions.
HuffPost Life
Do the COVID-19 shots prevent infection? How long does immunity last? Do they work against mutations? Here's what to know.
Kate And William Might Get The COVID-19 Vaccine On Camera
The Queen and Prince Philip have already been vaccinated.
Two States Are Currently Giving The COVID Vaccine To Smokers Of Any Age
Missouri is the only other state that has a stipulation for smokers.
Watch Al Roker Get His First Dose of the COVID-19 Vaccine Live on 'Today'
"Do I get a Hello Kitty Band-Aid?"
Moderna Struggling To Find Enough Kids To Participate In COVID Vaccine Trial
COVID has killed 172 children to date and now Moderna wants to release the vaccine, but not enough kid volunteers are signing up Moderna is actively signing up teens for a coronavirus vaccination study, but unfortunately, not enough adolescents are signing up, which could delay vaccine authorization for this age group. Here's what's happening with []
Steve Martin said his COVID-19 vaccine experience was 'smooth as silk'
The comedian said he made an appointment using New York City's public health website and waited in line at the Javits Center.
Prince William says he's 'very proud' of the Queen and Prince Philip for getting the COVID-19 vaccine
Buckingham Palace previously confirmed that the Queen and Prince Philip received their vaccinations on January 9.
Prince William Is "Very Proud" of Queen Elizabeth and Prince Philip for Getting Vaccinated
"It's really important that everyone gets their vaccine," the royal added.
The Seychelles Is Opening to Fully Vaccinated Travelers
Travelers must prove two weeks have passed since they received their second dose of the COVID-19 vaccine to visit.
Vaccine tourism: People are flocking to Florida for their COVID-19 inoculations
"We've said from the beginning that the State of Florida is committed to prioritizing our seniors 65+ for vaccine distribution," Gov. Ron DeSantis tweeted. That strategy has attracted plenty of people to the state.
Residents in the nursing home that was the site of the first COVID-19 outbreak in the US are reportedly fully vaccinated after receiving the second dose more than 10 months after first COVID-19 case
While residents are not required to get the vaccine, The Seattle Times reported that 95% of residents and 87% of staff received the first dose.
Fauci Says Biden's Plan Of 100 Million Vaccinations In 100 Days Is 'Absolutely Doable'
Dr. Fauci says Joe Biden's ambitious vaccine plan is absolutely 'doable' and says two new vaccines are potentially being submitted for emergency use in a few weeks If you, like me, are counting down the days to Joe Biden's inauguration with the hope that on January 20, 2021 the U.S. becomes slightly less terrifying, you []
Johnson & Johnson Is Working on a COVID-19 Vaccine That Requires a Single Dose
It's still in phase 3 clinical trials, but the early data is promising, experts say.
There are many theories as to why we have shots for the coronavirus but not HIV. Here's what's really happening.
Read this if you're concerned about future coronavirus strains and if they'll affect the Pfizer or Moderna shots.
Over-50 cruise line Saga becomes first company to require passengers get COVID-19 vaccine
When over-50 cruise line Saga resumes sailing May 4, passengers will need to have received a COVID vaccine and undergo testing before embarkation.
Richard Branson Talks Vaccines and Return of Travel in New Interview
"Hopefully there will be a proof-of-vaccination piece of paper that people can use to be able to get on a plane without having to be tested or without having to quarantine," Branson said.
Prince William Is "Very Proud" Queen Elizabeth Has Been Vaccinated Against COVID-19
"My grandparents have had the vaccine..."


HARRY Redknapp has strengthened his defensive options with the signing of experienced centre-half Richard Dunne.
The Republic of Ireland international has penned an initial one-year deal at Loftus Road following his release from Aston Villa at the end of last season.
Thirty-three year-old Dunne becomes Rangers' second signing of the summer, following in the footsteps of fellow defender Danny Simpson.
Redknapp believes the former Manchester City skipper will be a valuable addition to his squad, telling www.qpr.co.uk: "This is a great signing for us. He's a top-class defender and a great guy. He's a good character and just what we need.
"He was City's Player of the Year four years running, and he will be fantastic at this football club. He's exactly the type I'm looking for.
Dunne, who has 77 Eire caps to his name, will link up with his new team-mates for the first time when the R's squad travel to Austria for a pre-season tour on Tuesday lunchtime.
He said: "I've been very close to signing for Harry on a couple of occasions and the opportunity to work with him really appealed to me. Players want to play for Harry and I'm no different.
"I know the club didn't have a good season last term, but – having spoken to Harry, as well as Tony (Fernandes) – there's a real determination to bounce back into the Premier League, which is where we all want to be.
"I've played in the Championship and won it with Manchester City, so hopefully my experience will benefit the team over the course of the season.


Chandigarh the city beautiful,has a good number of major tourist destinations. Tourists from all over the country visit this city every year. It is a modern city and is complete of all the attractions of modern tourism. Besides, it is also bestowed by some magnificent attractions of the nature. Simply head to this amazing city and choose accommodations from best hotels in Chandigarh,the city beautiful.
Chandigarh the city beautiful, is in more than one or two ways, an excellent destination where one can spend a holiday that is fun and refreshing. Counted amongst the best places to live in India, it is city that best represents the modern India. Fact about the city: Chandigarh is the joint capital of two major states in the country Punjab and Haryana. The city directly comes under the administration of the government of India and belongs to none of the states. The distinguishing and very prominent feature of Chandigarh,the city beautiful, other than being the capital of two states is it architecture. The city is simply one of the best planned cities in India. The credit for its excelling architecture goes to the French architect, Le Corbusier. During the time of the construction of the city, it was way ahead of its time, and because of this it remained a major point of interest in India tourism circuit. Even today the city is as beautiful as it was in its foremost days, however, the old structures, buildings, public squares, streets are a bit weather-beaten and crumbling. Modern constructions, today surround and patch the gaps of the city, making Chandigarh a perfect combination of old and new.
Commerce is the prime factor running the city and moving it forward. The city is home to a number of industries, companies, trades, and businesses. Besides, the city also finds prominence for imparting quality education and producing large number of well qualified students and entrepreneurs. Nonetheless, the city is also one fine destination for a memorable holiday. Tourism and hotel industry are pretty big here. There are large number of 3 Star hotels in Chandigarh that are most preferred accommodation options. Meanwhile, the city sees a good wave of visitors every year. Autumn is the best time for a tour of the city. During the months between mid-August to November, the city receives moderate climate making it ideal for sightseeing, touring, shopping, and exploring the hidden attractions of the city. The places to visit in Chandigarh exist in abundance; however they are not present in the form of historical monuments. Natural scenic places are there, but they are less in count. Most of the attractions in the city are the results of men's creativity, passion, and hard-work, which are combined with the nature. The city beautiful sits aloof at the Shivalik ranges foot hills and is a varied landscape patched with greenery and tree-lined boulevard.
There exists an excellent Government Museum and Art Gallery at the heart of the city. It is one of the most renowned museums in the region as it houses a good collection of artifacts, sculptures, paintings, miniatures, and other relics from Rajasthan, Pahari, and Gandharan. Besides, it has an excellent collection of relics from the time of partition of India, and most of its collections were bought from Lahore Museum. For sightseers, the Nek Chand's Rock Garden is a place to feast the eyes. The garden houses statues, sculptures, and other art related objects that are made up of nothing but the industrial and domestic wastes. For the history and culture buffs the Zakir Hussain Rose Garden is a place to visit. There are more than 1600 rose varieties adorning the garden. It is a large garden and consists of other beautiful and medicinal flowers, trees, and plants, as well. There are benches and food stalls within the park's premise, making it ideal place to kick-back and rejuvenate. Some other prominent places to visit in the city include: Butterfly Park, Sukhna Lake, Fun City, International Dolls Museum, Shanti Kunj, Choki Dhani, and Leisure valley.
Chandigarh takes pride of its luxury hotels. There exists some excellent luxury hotels in the city beautiful counted amongst the best hotels in the country. Other than the luxury hotels, there exist a large number of mid-range and budget/cheap hotels. The huge variety in the hotels in Chandigarh makes it convenient for one to easily search and select the hotel that best suits his preferences and budget.


Taking the Lead on How the Public and Physicians View Death and Dying – Making Arizona The Healthiest State In The Nation!
In the spirit of National Doctors Day on Saturday, March 30th, we are sharing this guest blog from our friends at the Arizona Medical Association regarding how Arizonans are experiencing end-of-life care experience.
Good end-of-life care is based on the understanding that death is inevitable, and a natural part of life. As the final stage in a person's life, it is a uniquely important time for the dying person and their family and close friends. In Arizona, the physician community should feel comfortable engaging effectively with patients and families regarding decisions, options, and care for these patients. The Arizona Medical Association (ArMA) saw a need to better understand where Arizona stood on end-of-life care, and how we could help better the process for physicians and patients.
Following that work, a survey was disseminated and sent to physicians in our community; over 500 responses were received. The survey examined knowledge, skills, and involvement in end-of-life issues as well as desire for further education and views toward Physician Orders for Life-Sustaining Treatment (POLST) and Medical Aid in Dying (MAID).
Only 50% of the time when end-of-life was near.
Routinely in only 37% of older patients.
Perceived patient/family unreadiness was seen as the major deterrent to having these conversations.
Physicians with training in EOL were less deterred.
A good death was defined as death expected, family present, symptoms controlled, patient's wishes followed.
Respondents reported that their patients currently experience "good deaths" less than 50% of the time.
Most physicians reported not having received training in EOL care.
40% indicated an interest in additional training.
Those with more education found EOL more professionally satisfying and experienced "good deaths" more often.
Most endorsed the need for public education.
Despite the availability of Medicare approved CPT codes for end-of-life counseling, only 15% of physicians used them.
Although Palliative Care has emerged as a medical specialty in the past 10 years, and is available in most hospitals, only 55% of respondents reported referring terminally ill patients or those diagnosed with serious life-limiting illnesses.
Education has since then been initiated for physicians and the general public on end-of-life care with the plan to compile relevant statistics. The task force will work with the Arizona Hospital and Healthcare Association (AzHHA) on educational efforts through their Thoughtful Life Conversations program. Ongoing efforts will take many years to implement these findings and recommendations to help change the culture around end-of-life care. It is humbling to see the courage, resilience, and fortitude that so many individuals show, even when facing life-limiting illness and death; ArMA will continue to work with stakeholders on education and to monitor progress on this important topic.
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811 E. Clark Blvd., Murfreesboro, TN 37130
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PRESIDENT'S HOTLINE
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SHOOTING FOR GRACE
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SERVING AS A LECTOR
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TRINITY HOPE
CALLED STAFF
Our mission is to share Christ's love through ministry and media.
MINISTRY MISSION
Lutheran Ministries Media, Inc. produces a weekly, 30-minute Lutheran broadcast worship service called Worship Anew. Each service includes music, scripture readings, prayers, and a pastor delivering a message that is designed to feel one-on-one to the viewer. Each program is closed captioned for the hearing impaired.
Weekly programs are distributed in different ways: through the purchase of airtime on local TV stations (see table below) and through webcasts that can be found and viewed on our homepage.
TV Station
Broadcast Time
Tennessee Memphis WWTW 34 Sunday 11:30 am
Nashville WJFB 44 Sunday 10:30 am
SEEK & YOU SHALL FIND
8:00AM – Early Worship
9:25AM - Sunday School
9:25AM - Adult Bible Study
10:45AM – Late Worship
Please click here to visit the LCMS Daily Devotions for this year.
Find apps for devotions, Bible studies, and more at the Lutheran Hour Ministries app page.
811 E. Clark Blvd.Murfreesboro, TN 37130
contact@glc-lcms.org
Rev. Alan Thoe, January 29, 2023
Come After Me
Epiphany/The Baptism of our Lord
Rev. Alan Thoe, January 8, 2023
Sunday school and Bible study
we offer classes for ages three through adults.
January 1, 2023 @ 10:00 AM - 11:00 AM
Board of Elders' Meeting
January 5, 2023 @ 9:00 AM - 12:00 PM
Convention of States* Outside Group
January 7, 2023 @ 10:00 AM - 1:00 PM
January 8, 2023 @ 8:00 AM - 9:00 AM
Women of Grace meeting
Board of Directors' Meeting
January 12, 2023 @ 9:00 AM - 12:00 PM
Gold Star Wives* Outside Group
January 15, 2023 @ 8:00 AM - 9:00 AM
Circuit Pastors' Meeting
Graceline Deadline
Children's Ministry team meeting
Elder's Retreat
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Ali Hamroyev (sometimes spelled Ali Khamrayev in English) (; ) (born May 19, 1937) is an Uzbek actor, film director, screenwriter, and film producer. He is best known in the former Soviet Union for his works in the 1960s and 1970s.

To date, Hamroyev has made over 30 documentary and over 20 feature films. His most famous films include Yor-yor (1964), The Seventh Bullet (1972), The Bodyguard (1979), and Vuodillik kelin (1984). Hamroyev has received many honorary titles and awards, including the title Meritorious Artist of Uzbekistan (1969).

Life and work
Ali Hamroyev was born on May 19, 1937, in Tashkent, then the Uzbek SSR. He graduated from the Gerasimov Institute of Cinematography (VGIK) in 1961. That same year he started working at Uzbekfilm.

Hamroyev is best known in the former Soviet Union for his works in the 1960s and 1970s. He has made over 30 documentary and over 20 feature films throughout his career. Hamroyev is still working today. In 2010, he announced that Jack Nicholson had agreed to portray Timur in his new movie.

Filmography

As director
 Bolalar haqida kichik hikoyalar (Russian: Маленькие истории о детях, которые...) (Short Stories about Children) (1961)
 Любит — не любит? (Does He/She Love or Not?) (1964)
 Yor-yor (Russian: Где ты, моя Зульфия?) (Yor-Yor) (1964)
 Laylak keldi, yoz boʻldi (Russian: Белые, белые аисты) (The White Storks) (1966)
 Dilorom (1967)
 Qizil qum (Russian: Красные пески) (The Red Sands) (1968)
 Favqulodda komissar (Russian: Чрезвычайный комиссар) (The Extraordinary Commissar) (1970)
 Без страха (Fearless) (1971)
 Yettinchi oʻq (Russian: Седьмая пуля) (The Seventh Bullet) (1972)
 Muxlis (Russian: Поклонник) (The Fan) (1973)
 Inson qushlar ortidan boradi (Russian: Человек уходит за птицами) (The Man is after Birds) (1975)
 Триптих (Triptych) (1978)
 Телохранитель (The Bodyguard) (1979)
 Жаркое лето в Кабуле (A Hot Summer in Kabul) (1983)
 Vuodillik kelin (Russian: Невеста из Вуадиля) (A Bride from Vuodil) (1984)
 Я тебя помню (I Remember You) (1985)
 Сад желаний (The Garden of Desires) (1988)
 Kim jinni? (Russian: Кто сумасшедший?) (Who is Insane?) (1992)
 Bo Ba Bu (1998)
 Место под солнцем (A Place under the Sun) (2004)
 Артисты (The Artists) (2007)

As actor
 Место под солнцем (A Place under the Sun) (2004)

As screenwriter
 Laylak keldi, yoz boʻldi (Russian: Белые, белые аисты) (The White Storks) (1966)
 Dilorom (1967)
 Favqulodda komissar (Russian: Чрезвычайный комиссар) (The Extraordinary Commissar) (1970)
 Без страха (Fearless) (1971)
 Эшмат — добрый ангел (Eshmat — A Kind Angel) (1979) (short film)
 Телохранитель (The Bodyguard) (1979)
 Стрелять сгоряча не стоит (Shooting Rashly is not Worth It) (1983)
 Vuodillik kelin (Russian: Невеста из Вуадиля) (A Bride from Vuodil) (1984)
 Я тебя помню (I Remember You) (1985)
 Kim jinni? (Russian: Кто сумасшедший?) (Who is Insane?) (1992)
 Bo Ba Bu (1998)

Awards
Hamroyev has received many honorary titles and awards throughout his career, including the title Meritorious Artist of the Uzbek SSR (1969). In 1971, he received the State Hamza Prize.

References

External links

1937 births
Uzbeks
Living people
Mass media people from Tashkent
Ostern films
Soviet film directors
Soviet screenwriters
Male screenwriters
Uzbekistani screenwriters
Uzbekistani film directors
Uzbekistani film producers
Uzbekistani male film actors
21st-century Uzbekistani male actors
Academicians of the National Academy of Motion Picture Arts and Sciences of Russia
Gerasimov Institute of Cinematography alumni

redpajama_set_name: RedPajamaWikipedia


text:
xbuild Tests/Tests.csproj /verbosity:minimal
if [ $? = 0 ]
then
	mono Tests/Libraries/NSpec/NSpecRunner.exe Tests/bin/Debug/Tests.dll
else
	echo "ERROR: Could not compile!"
	exit 1
fi

redpajama_set_name: RedPajamaGithub


Come and Enjoy the weekend in Beauty of sundarban at Sundarban Residency,Sundarban.
"VILLAGE TELKUPI" is an Eco-Village at Garpanchkot, a part of "Panchet Residency", epitomizing the beauty of Bengal. Spread over 15 acres of prime property makes Panchet Residency the ultimate 'Eco-Friendly Resort' in the country.
We Wish Trip are glad to introduce our lavish rooms in our Panchet Residency resort named 'Banjara Huts' for out guests to give a feeling of a "home away from home". All the units are equipped with high quality amenities from renowned brands.
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An exquisite stay experience awaits for you at Panchet Residency, Garpanchkot. Located close to Asansol, district of Purulia, West Bengal. It is very near to Panchet Dam with more than 15 acres of natural landscaped gardens with the beautiful backdrop of Panchet Hill.
Panchet Residency,Garpanchkot is a part of the leisure & hospitality sector of Wish Trip Pvt. Ltd. & bring to the industry values such as Reliability, Trust & Customer Satisfaction. Moreover, we are very familiar to the service industry as a young dedicated group of qualified entrepreneurs.


By Mr. Cyr, a petition (accompanied by bill, Senate, No. 1633) of Julian Cyr, Jack Patrick Lewis and Harriette L. Chandler for legislation to minimize youth vaping and support addiction prevention services. Revenue.


Shingai gives an overview of Ephesians as we start our Ephesians Series.
The final part of The Lost series covers the Lost Brother. The one who remained behind.
Rob shares about the prodigal son in our Lost Series.
Shepherd Wazara shares from Galatians 5 as we continue the Galatians Series.


Rock Valley College is a community college in Rockford, Illinois.
Earn an online degree, hundreds of online colleges offering distant learning online.
Eyes on Campus - The Ultimate Insider's Guide to Campus Life!
Eyes On Campus is the Ultimate Insider's Guide to Campus Life. Eyes On Campus provides unbiased perspectives on classes, campus dining, student culture, hotspots, and more!
Parents Advance: helping parents become teachers. We help students gain bachelor's degrees in early childhood education with a blended learning approach that combines e-learning and community classes with traditional on campus college classes.


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LIMAOHIO.COM HOME
Sterling Shepard Crowder Sean Chandler Adrian Colbert C.J. Board Darnay Holmes Jabaal Sheard Darius Slayton Matt Rhule Joe Judge Trent Harris Sports NFL football Professional football Football Sports transactions Sports business NFL Draft Virtual worlds Recreation and leisure Lifestyle Athlete injuries Athlete health
New York Giants Indianapolis Colts Carolina Panthers Miami Dolphins
Rookie LB Crowder placed on IR days after scoring winning TD
By TOM CANAVAN - Oct. 20, 2020 06:56 PM EDT
Washington Football Team's Temarrick Hemingway (88) is tackled by Washington Football Team's Jimmy Moreland (20) during the first half of an NFL football game Sunday, Oct. 18, 2020, in East Rutherford, N.J. (AP Photo/John Minchillo)
EAST RUTHERFORD, N.J. (AP) — Two days after scoring a game-winning touchdown in the final minutes, rookie linebacker Tae Crowder was placed on injured reserve with a hamstring injury by the New York Giants.
The last player taken in the NFL draft and the current Mr. Irrelevant, Crowder scored on a 43-yard fumble return with 3 1/2 minutes to play to give the Giants a 20-19 win over Washington on Sunday.
Crowder did not mention an injury in a virtual conference call after the game. He did not participate in walk-through practices on Monday and Tuesday and was placed on IR late in the afternoon.
The win was the Giants' first in six games under new coach Joe Judge and it remarkably put them back in the race for the NFC East division title.
Coupled with losses by Dallas (2-4) and Philadelphia (1-4-1), the Giants (1-5) are tied with Washington for second place in the division with 10 games left in the regular season.
Crowder, who had 10 tackles against Washington, will be sidelined at least three games, the first on Thursday night in Philadelphia.
The Giants plan to sign veteran defensive end Jabaal Sheard. He played for Jacksonville on Sunday. His practice squad contract with the Jaguars was terminated.
Sheard will not be eligible to play for the Giants until their next game against Tampa Bay on Nov. 2. He has played for Cleveland, New England, Indianapolis and Jacksonville in a 10-year career. He won a Super Bowl with the Patriots in 2016 when Judge was the special teams coordinator.
NOTES: WR Sterling Shepard practiced for the first time since being put on injured reserve with a turf toe injury sustained in the second game of the season. Judge did not say whether he will play Thursday. ... WR C.J. Board (concussion) and DB Adrian Colbert (shoulder) also did not participate in Tuesday's walk-through workout. DB Darnay Holmes (neck) and Darius Slayton (foot) were limited. ... LB Trent Harris, who was active for Sunday's game but did not play, reverted back to the practice squad. ... S Sean Chandler, who has been with the Giants since 2018, was signed off the practice squad by Carolina. Panthers coach Matt Rhule was Chandler's first head coach at Temple.
By Arnie Stapleton an hour ago


We have prepared our schedule of shows we are planning to review. We have 41 performances scheduled between the season opening last week and Thanksgiving. There are nineteen shows in Maryland, nineteen in Virginia, and three in Washington DC. We'll see twelve musicals, and Hay Fever twice. The schedule may change a bit, but this is our current plan. This is a great example of the value of publishing your company's performance schedule early, there are a few companies we'd love to support, but they have not published dates for their shows yet. View the complete review schedule.
This article can be linked to as: http://showbizradio.com/go/2029.


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Tugan Taymurazovich Sokhiev (; ; born 21 October 1977, Vladikavkaz, Ossetia) is an Ossetian conductor.

Biography
Sokhiev began piano studies at age 7. He first conducted at age 17, inspired by Anatoly Briskin, the conductor of the North Ossetia State Philharmonic Orchestra. He subsequently attended the Saint Petersburg Conservatory, where he was one of the last students of Ilya Musin before the latter's death in 1999. Sokhiev's first opera as a conductor was in a production of La bohème in Iceland.

Following that production in Iceland, General Director of Welsh National Opera (WNO) Anthony Freud named Sokhiev WNO's music director in December 2001, effective from 2003, for an initial contract of 5 years. His initial conducting work with WNO as music director was in revivals of Don Giovanni, Cavalleria rusticana and Pagliacci. His first new production as WNO music director was of Eugene Onegin. He was also in charge of the Russian Series for WNO which contained works by many famous Russian composers. In August 2004, Sokhiev resigned from WNO with immediate effect, after problems with the cast of their new production of Verdi's La traviata. Reports indicated a decline in morale among the WNO orchestra and chorus, and questions about whether Sokhiev was too young and inexperienced for the post.

In 2005, Sokhiev became principal guest conductor and musical adviser with the Orchestre national du Capitole de Toulouse. He received the accolade 'Révélation musicale de l'année' from the French Critics' Union in 2005, after a Paris performance with the Capitole de Toulouse orchestra. In September 2008, he became the orchestra's music director. His most recent Capitole de Toulouse contract extension, announced in December 2019, was through the summer of 2021.

In September 2010, Sokhiev was named principal conductor and artistic director of the Deutsches Symphonie-Orchester Berlin (DSO Berlin), effective in 2012, with an initial contract of 4 years. He took the title of principal conductor designate with immediate effect. In January 2014, the Bolshoi Theatre named Sokhiev its new music director, with an initial contract of 4 years, effective 1 February 2014. In October 2014, Sokhiev stated his intention to stand down from his DSO Berlin post after the 2015-2016 season, to devote greater attention to his Bolshoi post.

On 6 March 2022, Sokhiev resigned as both music director of the Bolshoi Theatre and music director of the Orchestre national du Capitole de Toulouse, citing pressure to make a public statement regarding the 2022 Russian invasion of Ukraine.

Discography
 Prokofiev: Symphonie No. 5, Scythian Suite, Deutsches Symphonie-Orchester Berlin, Sony Classical, Germany 2016, CD.
 Brahms: A Flight through the Orchestra - Brahms Symphony No. 2, Deutsches Symphonie-Orchester Berlin, EuroArts Music International, Germany 2015, DVD/Blue-ray.
 Prokofiev: Ivan the Terrible, Deutsches Symphonie-Orchester Berlin, Sony Classical, Germany 2014, CD.
 Stravinsky: L'oiseau de feu, Le sacre du printemps, Orchestre National du Capitole de Toulouse, Naïve, France 2012, CD.
 Prokofiev: Violin Concerto No. 2, Rachmaninoff: Symphonic Dances, Orchestre National du Capitole de Toulouse, Naïve, France, 2011, CD.
 Mussorgsky: Pictures at an Exhibition, Tchaikovsky: Symphony No. 4, Orchestre National du Capitole de Toulouse, Naïve, France 2006, CD.
 Prokofiev: Peter and the Wolf, Orchestre National du Capitole de Toulouse, Naïve, France 2007, CD.

References

External links
 ЧУДО-ДИРИЖЕР РОДОМ ИЗ ВЛАДИКАВКАЗА. Журнал "Горец". Для тех, кто любит высоту
 Biography of Tugan Sokhiev on the Askonas Holt website
 French-language biography of Sokhiev from Orchestre national du Capitole de Toulouse page
 German-language page on Sokhiev from the Deutsches Symphonie-Orchester Berlin

1977 births
Living people
20th-century Russian conductors (music)
20th-century Russian male musicians
21st-century Russian conductors (music)
21st-century Russian male musicians
Honored Artists of the Russian Federation
Knights of the Ordre national du Mérite
Recipients of the Medal of the Order "For Merit to the Fatherland" I class
Ossetian people
People from Vladikavkaz
Music directors (opera)
Russian male conductors (music)


text:
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Apple's next move may be an iPhone hardware subscription service, Meta loses top AI scientists, and Amazon has spent over $4 million on consultants...
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Humans haven't mastered space travel, but 413,000 pounds of our stuff has managed to pile up on the moon. That's why TODAQ Financial and For All Moonkind are partnering up to map the moon and register all human items and sites using blockchain.
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Uber is forming a fleet of driverless cars, Bitcoin reaches an all-time high, and SpaceX will start sending internet satellites into space in 2019.
Lowe's is out of this world – literally – with its 3D printed tools
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You may think Lowe's is just a hardware store, but with its Innovation Lab, that couldn't be further from the truth.
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Canada has a long legacy of innovation and prosperity. We have blazed technology trails in every aspect of life, from agriculture to medicine and health care, communications to manufacturing, transportation to space travel, and finance to renewable energy.
Would a laptop really work on Mars?
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In box office hit The Martian, we see IT gear operating in the most hostile of environments - space. But could even the most rugged laptop survive?
Sidebar: A primer on Canada's data privacy laws


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Penang to improve access to healthcare
By LIEW JIA XIAN
Nation 11h ago
Covid-19 Watch: 189 new cases, says Health Ministry
Nation 5h ago
Malaysia's unemployment rate at 3.6% as of Dec 2022
Nation 07 Feb 2023
Health Ministry to hold regular meetings with hospital directors to address issues at health facilities
One for album: The elected representatives taking a group photo in the state assembly building.
GEORGE TOWN: A pharmacy task force has been set up to make medical help more accessible in Penang, says Dr Norlela Ariffin.
The Penang health committee chairman said a meeting on the task force was held and attended by health and pharmacy experts, including presidents of pharmacy associations, hospital directors and the dean of the Pharmacy Faculty at Universiti Sains Malaysia.
"In order to solve the problem of long queues at government hospitals, the state government has set up an action team to implement the community pharmacy project, with a total of 305 pharmacists and doctors participating.
"The plan is mainly to facilitate people in various districts, especially poor people, to obtain medicine or seek medical consultation at nearby pharmacies and clinics without having to go to government hospitals.
"At present, the public has to wait for a long time or make an appointment when they go to government hospitals for consultation or to get medicine, and the hospitals are often overcrowded," she said.
However, Norlela said since it is a government-private partnership, all participating pharmacies have to be certified.
"Under the project, patients can request government hospitals to send their medicine to private pharmacies for them to pick up, but this is subject to approval from the Health Ministry," she said.
She noted that there are 305 community pharmacies in Penang this year compared with 268 last year.
"This shows that the increase in the number of community pharmacies in Penang is one of the lowest compared to other states.
"Through the task force meeting, the proposed distance between two community pharmacies is 100m.
"This will make it easier for residents living in rural areas to get their medicine supplies," she added.
Norlela announced the setting up of the task force at this week's state assembly meeting.
Pengkalan Kota assemblyman Daniel Gooi suggested that more publicity be given to the community pharmacy task force to increase awareness of the initiative.
"This is indeed a good move. However, the state government should strengthen the publicity of this initiative, including in different languages, so that people of all ethnic groups may know about it and benefit from it," he said.
On a separate issue, Norlela said the ratio of psychiatrists to the population in Penang public hospitals is about 1:100,000 while the World Health Organisation (WHO) recommends 1:10,000.
The ratio of clinical psychologists to the population in public hospitals in Penang is about 1:600,000 compared to the WHO recommendation of 1:5,000.
"Although the shortage of psychiatrists and clinical psychologists is dependent on the number of trained specialists and staffing, the state Health Department is always proactive in offering services and implementing various programmes related to mental health.
"For cases related to mental health emergencies, patients can get services at the emergency unit at any of the nearest hospitals.
"In addition to hospital services, counsellor services are also available through appointments at health clinics," she said.
Health clinics in the state, she added, also offer mental health screenings without any referral letter during office hours.
"Physicians in health clinics in the state are able to treat cases related to less serious mental health problems such as stress, anxiety and depression.
"Mental health services need to be viewed more holistically and this task is not only borne by the Health Ministry.
"Education and mental healthcare should be a priority and involve the cooperation of various stakeholders," she said.
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Exciting deals at Sunway Theme Parks Mega Roadshow


Kattiakkaran means narrator in Tamil. However, for the play Kattiakkaran, there isna��t one narrator but several. Written by renowned theatre actor, director and scriptwriter Na Muthukumar in the 1980s, Kattiakkaran is being staged by Tamil theatre troupe Koothu-P-Pattarai this time.
Directed by veteran writer and director Prasanna Ramaswamy, the 85-minute play deals with themes of gender, sexuality, patriarchy and the consumer culture that ends up appropriating and commodifying all these human emotions. a�?The text itself is not bound to a period, so there is no question of adapting it to suit modern times,a�? says Ramaswamy. a�?But the themes are still applicable today,a�? she adds.
Ramaswamya��s interpretation of Muthukumara��s script is different though. a�?Ia��ve taken one long monologue and distributed it between some characters. Ia��ve created other characters too,a�? she says. For her, the original text is just the context into which the play fits into. a�?Ia��ve brought the play on stage through a lot of visualisation. The text is just context for me,a��a�� she reiterates.
The play doesna��t fit into the traditional plot-driven linear narrative, but it isna��t completely free-structured either. a�?The play has a beginning, a middle and an end. It had cause and effect as well,a�? says Ramaswamy.
At Edouard Michelin Auditorium, Alliance Francaise, at 7.30 pm on November 30. Entry is free.