The Negev region has the potential to deliver real and tangible benefits for regional development, green growth and social inclusion. The report explains how the region can exploit its existing strenghts and competitive advantages, including a niche in research, demonstration and testing in renewable energies and water efficiency.

This document outlines the current status of and available guidance documents/tools on the application, use and presentation of PRTR data in OECD member countries and the Commission for Environmental Co-operation based on the results of a survey conducted in November 2011.

SHRI BALUBHAU ALIAS SURESH NARAYAN DHANORKAR (CHANDRAPUR): I beg to present the following Reports (Hindi and English versions) of the Standing Committee on Coal and Steel :-

(i)                 Third Report on 'Demands for Grants (2019-20)' pertaining to the Ministry of Coal.

(ii)               Fourth Report on 'Demands for Grants (2019-20)' pertaining to the Ministry of Mines.

(iii)              Fifth Report on 'Demands for Grants (2019-20)' pertaining to the Ministry of Steel.

SHRIMATI ANUPRIYA PATEL (MIRZAPUR): I beg to present the following Reports (Hindi and English versions) of the Standing Committee on Energy (2019-20) :-

(i)                 1st Report on Demands for Grants relating to the Ministry of New and Renewable Energy for the year 2019-20.

(ii)               2nd Report on Demands for Grants relating to the Ministry of Power for the year 2019-20.

SHRI ADHIR RANJAN CHOWDHURY (BAHARAMPUR): Sir, I beg to present the following Reports (Hindi and English versions) of the Public Accounts Committee (2019-20):-

(1) 1st Report on ‘Revision of ceilings for Exception Reporting in Appropriation Accounts’.

(2) 2nd Report on Action taken by the Government on the Observations/Recommendations of the Committee contained in their 95th Report (16th Lok Sabha) on ‘Health and Family Welfare’.

(3) 3rd Report on Action taken by the Government on the Observations /Recommendations of the Committee contained in their 103rd Report (16th Lok Sabha) on ‘Assessment of Entities Engaged in Health & Allied Sector’.

Archives, Room Use Only - HA201 1850D

The section of the Bilbao Crystallographic Server (http://www.cryst.ehu.es) dedicated to subperiodic groups includes a new tool called LSITESYM for the study of materials with layer and multilayer symmetry. This new program, based on the site-symmetry approach, establishes the symmetry relations between localized and extended crystal states using representations of layer groups. The efficiency and utility of the program LSITESYM is demonstrated by illustrative examples, which include the analysis of phonon symmetry in Aurivillius compounds and in van der Waals layered crystals MoS2 and WS2.

Representatives from academies and research organizations around the world sent messages of condolence and support to members, officials and staff of the U.S. National Academies in the wake of terrorist attacks on the World Trade Center and the Pentagon. The following are excerpts from some of these messages.

Although most people who receive and manage Social Security benefits on behalf of other individuals perform their duties well.

A new report from the National Academies of Sciences, Engineering, and Medicine urges systemic action to change the culture in STEMM (science, technology, engineering, mathematics, and medicine) to address the underrepresentation of women in these fields.

A map of science could assist research planning strategies by helping to identify emerging topics. The map — which is based on links to almost 20 million scientific articles that have been published over the past 16 years — clusters and links scientific disciplines by citation-based relationships and serves as a highly detailed and scalable infographic. The authors hope it will be used by research planners to help distinguish — and potentially forecast — the research areas in science which have longevity, and also those which are innovative.

Tokyo, October 30, 2018 - Mitsubishi Heavy Industries, Ltd. (MHI) has published "MHI Report 2018," an integrated report that presents its vision for improving the everyday lives of people by solving the social issues of today as well as tomorrow, in order to remain a company valued by society. In the report MHI outlines the strategies to achieve this vision, and strives to depict how internal corporate resources function.

Business strategy presentation materials have been posted.

The Complaint alleges that Quantcast misclassified its Inside Sales Representatives as exempt and therefore, denied them overtime compensation.

Personal Injury Lawyers Needed

A recent SmarTech report Additive Manufacturing With Metal Powders 2017 that projected the primary market for metal AM will grow to over $6.6 billion (USD) in 2026.

PSS Honors Event Toasts Local Heroes in Elder Care, Family Caregiving and Introduces Impact Award for Leadership in Positive Aging

53rd Pacific Marine Expo, the West Coast's largest commercial marine and fishing trade show, set for the CenturyLink Field Event Center Nov. 21 through Nov. 23. Last year's Expo attracted more than 6,000 visitors from 40 states and 24 countries.

With offices in Alpharetta and Dunwoody, Atlanta Specialized Care offers a variety of counseling interventions to address many challenges.

The Complaint alleges that Informatica misclassified its Inside Sales Representatives (which includes Business Development Managers, Inside Sales Representatives, Sales Development Representatives, and other similar positions).

Sharpe's books are riveting inspirational thrillers written in honor of her daughter Kate and her husband Steve.

Standout employee earns first place at national Eliant Homebuyer's Choice Awards

Ackerman Retail will serve as Master Broker for Painted Tree; Executive Vice President Brian Lefkoff will lead site selection and tenant representation services for retailer's national store rollout

Brady, Brannon and Rich Talent Agency is proud to have Steve Tyler join our commercial acting roster," says Stuart K. Robinson, Chief Executive Officer/Partner Brady, Brannon & Rich/Bx2 Entertainment.

One hour course accredited by AIA and IDCEC for architects, interior designers, planners, and others involved in the design process.

Virtual Event Featured How To Bulletproof Your Business To Survive And Thrive In Any Economy

For the first time in over five years, Klarna STYLE360 will be participating in Fall/Winter New York Fashion Week with numerous see and shop presentations

To accommodate rapid growth and expansion of the product line, BMS promotes one of their top dealers to lead them into the next decade.

Evan Loomis and Evan Baehr, coauthors of "Get Backed," on how to win someone over with PowerPoint.

Presentation management puts a strategic workflow process around presentation files, such as: PowerPoint, video, images, PDFs, and any other file types you use in business

Ashok Michael Pinto, who has worked as a Special Assistant and Associate Counsel to former president George W Bush, was on Monday nominated as US Alternate Executive Director of IBRD for a term of two years.

The Securities and Exchange Commission today filed settled charges against registered broker-dealer Bloomberg Tradebook LLC for making material misrepresentations and omitting material facts about how the firm handled certain customer trade orders. The…

The RADIO ADVERTISING BUREAU's next webinar in its "Business Unusual" program's "Open for Business" series, “Creating Audience Engagement,” will … more

DALLAS, 4 de abril del 2020 — El día de ayer, se publicó una investigación en Circulation, la revista insignia de la American Heart Association, cuyo objetivo es ayudar a generar aún más conciencia sobre las manifestaciones cardiovasculares del ...

Creating a presentation is one of the best ways to convey information to a wide audience in an easy-to-follow manner. Such presentations are often made using attractive and unique designs to help draw-in viewers. One style that has remained popular among presentation designers throughout the years is “minimalist” presentations. Minimalist presentations rely on the concept...

We introduce an infinite-dimensional $p$-adic affine group and construct its irreducible unitary representation. Our approach follows the one used by Vershik, Gelfand and Graev for the diffeomorphism group, but with modifications made necessary by the fact that the group does not act on the phase space. However it is possible to define its action on some classes of functions.

The Gabriel-Roiter measure is used to give an alternative proof of the finiteness of the representation dimension for Artin algebras, a result established by Iyama in 2002. The concept of Gabriel-Roiter measure can be extended to abelian length categories and every such category has multiple Gabriel-Roiter measures. Using this notion, we prove the following broader statement: given any object $X$ and any Gabriel-Roiter measure $mu$ in an abelian length category $mathcal{A}$, there exists an object $X'$ which depends on $X$ and $mu$, such that $Gamma = operatorname{End}_{mathcal{A}}(X oplus X')$ has finite global dimension. Analogously to Iyama's original results, our construction yields quasihereditary rings and fits into the theory of rejective chains.

Bernstein, Frenkel, and Khovanov have constructed a categorification of tensor products of the standard representation of $mathfrak{sl}_2$, where they use singular blocks of category $mathcal{O}$ for $mathfrak{sl}_n$ and translation functors. Here we construct a positive characteristic analogue using blocks of representations of $mathfrak{sl}_n$ over a field $ extbf{k}$ of characteristic $p$ with zero Frobenius character, and singular Harish-Chandra character. We show that the aforementioned categorification admits a Koszul graded lift, which is equivalent to a geometric categorification constructed by Cautis, Kamnitzer, and Licata using coherent sheaves on cotangent bundles to Grassmanians. In particular, the latter admits an abelian refinement. With respect to this abelian refinement, the stratified Mukai flop induces a perverse equivalence on the derived categories for complementary Grassmanians. This is part of a larger project to give a combinatorial approach to Lusztig's conjectures for representations of Lie algebras in positive characteristic.

We prove that there are no irreducible representations of $B_n$ of dimension $n+1$ for $ngeq 10.$

Position encoding (PE), an essential part of self-attention networks (SANs), is used to preserve the word order information for natural language processing tasks, generating fixed position indices for input sequences. However, in cross-lingual scenarios, e.g. machine translation, the PEs of source and target sentences are modeled independently. Due to word order divergences in different languages, modeling the cross-lingual positional relationships might help SANs tackle this problem. In this paper, we augment SANs with emph{cross-lingual position representations} to model the bilingually aware latent structure for the input sentence. Specifically, we utilize bracketing transduction grammar (BTG)-based reordering information to encourage SANs to learn bilingual diagonal alignments. Experimental results on WMT'14 English$Rightarrow$German, WAT'17 Japanese$Rightarrow$English, and WMT'17 Chinese$Leftrightarrow$English translation tasks demonstrate that our approach significantly and consistently improves translation quality over strong baselines. Extensive analyses confirm that the performance gains come from the cross-lingual information.

Representation learning is a critical ingredient for natural language processing systems. Recent Transformer language models like BERT learn powerful textual representations, but these models are targeted towards token- and sentence-level training objectives and do not leverage information on inter-document relatedness, which limits their document-level representation power. For applications on scientific documents, such as classification and recommendation, the embeddings power strong performance on end tasks. We propose SPECTER, a new method to generate document-level embedding of scientific documents based on pretraining a Transformer language model on a powerful signal of document-level relatedness: the citation graph. Unlike existing pretrained language models, SPECTER can be easily applied to downstream applications without task-specific fine-tuning. Additionally, to encourage further research on document-level models, we introduce SciDocs, a new evaluation benchmark consisting of seven document-level tasks ranging from citation prediction, to document classification and recommendation. We show that SPECTER outperforms a variety of competitive baselines on the benchmark.

Recent single image unsupervised representation learning techniques show remarkable success on a variety of tasks. The basic principle in these works is instance discrimination: learning to differentiate between two augmented versions of the same image and a large batch of unrelated images. Networks learn to ignore the augmentation noise and extract semantically meaningful representations. Prior work uses artificial data augmentation techniques such as cropping, and color jitter which can only affect the image in superficial ways and are not aligned with how objects actually change e.g. occlusion, deformation, viewpoint change. In this paper, we argue that videos offer this natural augmentation for free. Videos can provide entirely new views of objects, show deformation, and even connect semantically similar but visually distinct concepts. We propose Video Noise Contrastive Estimation, a method for using unlabeled video to learn strong, transferable single image representations. We demonstrate improvements over recent unsupervised single image techniques, as well as over fully supervised ImageNet pretraining, across a variety of temporal and non-temporal tasks. Code and the Random Related Video Views dataset are available at https://www.github.com/danielgordon10/vince

Multimodal Sentiment Analysis is an active area of research that leverages multimodal signals for affective understanding of user-generated videos. The predominant approach, addressing this task, has been to develop sophisticated fusion techniques. However, the heterogeneous nature of the signals creates distributional modality gaps that pose significant challenges. In this paper, we aim to learn effective modality representations to aid the process of fusion. We propose a novel framework, MISA, which projects each modality to two distinct subspaces. The first subspace is modality invariant, where the representations across modalities learn their commonalities and reduce the modality gap. The second subspace is modality-specific, which is private to each modality and captures their characteristic features. These representations provide a holistic view of the multimodal data, which is used for fusion that leads to task predictions. Our experiments on popular sentiment analysis benchmarks, MOSI and MOSEI, demonstrate significant gains over state-of-the-art models. We also consider the task of Multimodal Humor Detection and experiment on the recently proposed UR_FUNNY dataset. Here too, our model fares better than strong baselines, establishing MISA as a useful multimodal framework.

Unsupervised learning of hidden representations has been one of the most vibrant research directions in machine learning in recent years. In this work we study the brain-like Bayesian Confidence Propagating Neural Network (BCPNN) model, recently extended to extract sparse distributed high-dimensional representations. The saliency and separability of the hidden representations when trained on MNIST dataset is studied using an external classifier, and compared with other unsupervised learning methods that include restricted Boltzmann machines and autoencoders.

Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of affected patients and heavy labor for doctors, computer-aided diagnosis with machine learning algorithm is urgently needed, and could largely reduce the efforts of clinicians and accelerate the diagnosis process. Chest computed tomography (CT) has been recognized as an informative tool for diagnosis of the disease. In this study, we propose to conduct the diagnosis of COVID-19 with a series of features extracted from CT images. To fully explore multiple features describing CT images from different views, a unified latent representation is learned which can completely encode information from different aspects of features and is endowed with promising class structure for separability. Specifically, the completeness is guaranteed with a group of backward neural networks (each for one type of features), while by using class labels the representation is enforced to be compact within COVID-19/community-acquired pneumonia (CAP) and also a large margin is guaranteed between different types of pneumonia. In this way, our model can well avoid overfitting compared to the case of directly projecting highdimensional features into classes. Extensive experimental results show that the proposed method outperforms all comparison methods, and rather stable performances are observed when varying the numbers of training data.

An apparatus for recognizing a representative user behavior includes a unit-data extracting unit configured to extract at least one unit data from sensor data, a feature-information extracting unit configured to extract feature information from each of the at least one unit data, a unit-behavior recognizing unit configured to recognize a respective unit behavior for each of the at least one unit data based on the feature information, and a representative-behavior recognizing unit configured to recognize at least one representative behavior based on the respective unit behavior recognized for each of the at least one unit data.