Modeste, Previste Using Bezier Curve analysis in context of Expression Analysis., 2019 . In ICASSP. (In Press) [Conference paper]

Two recent cases involving easements highlight the risks of leaving part of the arrangement undocumented. Two recent cases raised the doctrine of derogation from grant in relation to the grant of an easement - one successfully and the other not. A ...

Statement from Risaburo Nezu, Chairman of the OECD Steel Committee, Paris, 6 June 2014

This report discusses the main areas in which national strategies to expand broadband networks affect universal service objectives, proposes criteria to rethink the terms of universal service policies, and shares the latest developments across a selected group of OECD countries.

This study will analyse how selected local areas/industry clusters identify the specific skills needed to support green growth and how related skills policies and practices can be made more effective in supporting their provision and accelerating transition to a low-carbon economy.

This study will analyse how selected local areas/industry clusters identify the specific skills needed to support green growth and how related skills policies and practices can be made more effective in supporting their provision and accelerating transition to a low-carbon economy.

Join us for our per- and polyfluoroalkyl substances webinar on Best Environmental Practices (BEP) for Textiles

It is now possible to estimate the influence of climate change on some types of extreme events, such as heat waves, drought, and heavy precipitation, says a new report from the National Academies of Sciences, Engineering, and Medicine.

A new tool has been developed to predict the effectiveness of a policy on the basis of its compatibility with the institutional context in place. It is the first of its kind and a recent study has evaluated its ability to identify factors that might affect the successful implementation of policies.

Forest management could help adaptation to climate change through its effects on water supply. A long-term US-based study has analysed the impact of forested land use changes on water flow into streams and rivers. It indicated that converting forests from deciduous to pine trees could help water storage in extreme wet conditions, but may be unsuitable in droughts. As such, it recommends tailoring management decisions to the context.

A framework on the effects of environmental change on human migration has been developed by researchers. It makes clear that environmental change can influence migration directly but also indirectly through impacts on economic, social and political factors. The framework can be used to guide further research, evaluate policy options, or develop predictions for migration under global change, say the researchers.

It is important to have a single definition of 'ecosystem services', but a single classification scheme for services is not appropriate, according to researchers. There are many contexts in which ecosystem services can be used and the context should help to determine which classification scheme is the most appropriate for decision making.

Organic farming has often been found to have benefits for biodiversity, but the benefits can depend on the individual species and landscape in question. Research on vine farming in Italy suggests that the impact of organic methods on the number or diversity of pollinating insects may depend on local context. For example, the lack of connectivity between organic vine farms may limit benefits in some circumstances.

Nat Geo's telling of Christ's life focuses on his plight as a human being living in such a tumultuous time.

If you are already applying your Data Science skills or getting ready to contribute to analyzing COVID-19 data, then be sure to take sufficient time to appreciate the context of the numbers to focus on what's most important as we collaborate on this global battle.

The 1980 eruption of Mount St. Helens produced a massive landslide and consequent pyroclastic currents, deposits of which blocked the outlet to Spirit Lake. Without an outlet, the lake began to rise, threatening a breaching of the blockage and release of a massive volume of water. To mitigate the hazard posed by the rising lake and provide an outlet, in 1984–1985 the U.S. Army Corps of Engineers bored a 2.6-km (8,500-ft) long tunnel through a bedrock ridge on the western edge of the lake.

Cyber-physical systems for robotic surgery have enabled minimally invasive procedures with increased precision and shorter hospitalization. However, with increasing complexity and connectivity of software and major involvement of human operators in the supervision of surgical robots, there remain significant challenges in ensuring patient safety. This paper presents a safety monitoring system that, given the knowledge of the surgical task being performed by the surgeon, can detect safety-critical events in real-time. Our approach integrates a surgical gesture classifier that infers the operational context from the time-series kinematics data of the robot with a library of erroneous gesture classifiers that given a surgical gesture can detect unsafe events. Our experiments using data from two surgical platforms show that the proposed system can detect unsafe events caused by accidental or malicious faults within an average reaction time window of 1,693 milliseconds and F1 score of 0.88 and human errors within an average reaction time window of 57 milliseconds and F1 score of 0.76.

In encoder-decoder neural models, multiple encoders are in general used to represent the contextual information in addition to the individual sentence. In this paper, we investigate multi-encoder approaches in documentlevel neural machine translation (NMT). Surprisingly, we find that the context encoder does not only encode the surrounding sentences but also behaves as a noise generator. This makes us rethink the real benefits of multi-encoder in context-aware translation - some of the improvements come from robust training. We compare several methods that introduce noise and/or well-tuned dropout setup into the training of these encoders. Experimental results show that noisy training plays an important role in multi-encoder-based NMT, especially when the training data is small. Also, we establish a new state-of-the-art on IWSLT Fr-En task by careful use of noise generation and dropout methods.

XSS is a security vulnerability that permits injecting malicious code into the client side of a web application. In the simplest situations, XSS vulnerabilities arise when a web application includes the user input in the web output without due sanitization. Such simple XSS vulnerabilities can be detected fairly reliably with blackbox scanners, which inject malicious payload into sensitive parts of HTTP requests and look for the reflected values in the web output.

Contemporary blackbox scanners are not effective against stored XSS vulnerabilities, where the malicious payload in an HTTP response originates from the database storage of the web application, rather than from the associated HTTP request. Similarly, many blackbox scanners do not systematically handle context-sensitive XSS vulnerabilities, where the user input is included in the web output after a transformation that prevents the scanner from recognizing the original value, but does not sanitize the value sufficiently. Among the combination of two basic data sources (stored vs reflected) and two basic vulnerability patterns (context sensitive vs not so), only one is therefore tested systematically by state-of-the-art blackbox scanners.

Our work focuses on systematic coverage of the three remaining combinations. We present a graybox mechanism that extends a general purpose database to cooperate with our XSS scanner, reporting and injecting the test inputs at the boundary between the database and the web application. Furthermore, we design a mechanism for identifying the injected inputs in the web output even after encoding by the web application, and check whether the encoding sanitizes the injected inputs correctly in the respective browser context. We evaluate our approach on eight mature and technologically diverse web applications, discovering previously unknown and exploitable XSS flaws in each of those applications.

Convolutional neural networks (CNN) have shown promising results for end-to-end speech recognition, albeit still behind other state-of-the-art methods in performance. In this paper, we study how to bridge this gap and go beyond with a novel CNN-RNN-transducer architecture, which we call ContextNet. ContextNet features a fully convolutional encoder that incorporates global context information into convolution layers by adding squeeze-and-excitation modules. In addition, we propose a simple scaling method that scales the widths of ContextNet that achieves good trade-off between computation and accuracy. We demonstrate that on the widely used LibriSpeech benchmark, ContextNet achieves a word error rate (WER) of 2.1\%/4.6\% without external language model (LM), 1.9\%/4.1\% with LM and 2.9\%/7.0\% with only 10M parameters on the clean/noisy LibriSpeech test sets. This compares to the previous best published system of 2.0\%/4.6\% with LM and 3.9\%/11.3\% with 20M parameters. The superiority of the proposed ContextNet model is also verified on a much larger internal dataset.

Methods, apparatuses and articles of manufacture for use in a mobile device to determine whether a dynamic user profile is to transition from a first state to a second state based, at least in part, on one or more sensed indicators. The dynamic user profile may be indicative of one or more current inferable user behavior contexts for a user co-located with the mobile device. The mobile device may transition a dynamic user profile from a first state to a second state, in response to a determination that the dynamic user profile is to transition from the first state to the second state, and operatively affect one or more functions performed, at least in part, by the mobile device based, at least in part, on the transition of the dynamic user profile to the second state.

An approach is provided for contextual content suggestion. A recommendation platform processes and/or facilitates a processing of contextual information associated with at least one device to determine one or more locations, one or more contextual parameter values, or a combination thereof. The recommendation platform also determines popularity data associated with one or more content items with respect to the one or more locations, the one or more contextual parameter values, or a combination. The popularity data is determined from one or more other devices sharing at least substantially the one or more locations, the one or more contextual parameter values, or a combination thereof. The recommendation platform then causes, at least in part, a recommendation of the one or more content items to the at least one device based, at least in part, on the popularity information.

A method, apparatus, and system for switching from an existing target end device to a next target end device in a multi-expander storage topology by using Fast Context Switching. The method enhances Fast Context Switching by allowing Fast Context Switching to reuse or extend part of an existing connection path to an end device directly attached to a remote expander. The method can include reusing or extending at least a partial path of an established connection between an initiator and the existing target end device for a connection between the initiator and the next target end device, whereby the existing target end device and the next target end device are locally attached to different expanders.

A speech recognition method including the steps of receiving a speech input from a known speaker of a sequence of observations and determining the likelihood of a sequence of words arising from the sequence of observations using an acoustic model. The acoustic model has a plurality of model parameters describing probability distributions which relate a word or part thereof to an observation and has been trained using first training data and adapted using second training data to said speaker. The speech recognition method also determines the likelihood of a sequence of observations occurring in a given language using a language model and combines the likelihoods determined by the acoustic model and the language model and outputs a sequence of words identified from said speech input signal. The acoustic model is context based for the speaker, the context based information being contained in the model using a plurality of decision trees and the structure of the decision trees is based on second training data.

An approach is disclosed that facilitates context delivery during communication sessions. The approach may be implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage medium having programming instructions operable to: render at least one service to a user device through a communication session; collect information of the communication session; and send the information of the communication session to a service provider when a call is setup between the user device and the service provider. The service provider renders the information of the communication session for viewing by the service provider.

A vehicle computer system comprising a transceiver in a vehicle configured to wirelessly connect with a nomadic device, wherein the nomadic device is capable of running a contextual application which operates at least in part based on vehicle environment data. The vehicle computer system further comprises one or more vehicle modules configured to receive environment data and capable of causing the transceiver to provide the vehicle environment data to the nomadic device for processing by the contextual application.

A computer system, comprising at least one controlled execution space hosting an operating system and an application program; a vulnerability monitoring agent coupled to the controlled execution space; one or more vulnerability profiles coupled to the vulnerability monitoring agent, wherein each of the vulnerability profiles comprises an application program identifier, an operating system identifier, a vulnerability specification describing a vulnerability of an application program that the application program identifier indicates when executed with an operating system that the operating system identifier indicates, and a remedial action which when executed will remediate the vulnerability; wherein the vulnerability monitoring agent is configured to monitor execution of the operating system and the application program in the controlled execution space, to detect an anomaly associated with the vulnerability, to determine the remedial action for the operating system and application program based on one of the vulnerability profiles, and to cause the remedial action.

One embodiment relates to an apparatus, comprising logic, at least partially incorporated into hardware, to receive a plurality of notifications from each of a plurality of notification sources, determine a ranking score for each notification relative to any other notification received from the same notification source, and determine a notification class for each ranked notification relative to the ranked notifications from all notification sources based upon at least one blending attribute and at least one user contextual state.

Thursday, June 25, 2015, at 7 p.m. This "Context" public affairs event takes a closer look at Illinois' medical cannabis pilot program approved by state lawmakers. There have been a few delays getting the project started, and tens of thousands of patients who’ve qualified for medical marijuana cards are waiting to get their prescriptions filled. However, before that happens, there are some regulatory hurdles marijuana growers and dispensaries have to cross before the drug can be sold in Illinois. Learn more about the “debilitating” diseases that qualify for marijuana treatment, grow centers, dispensaries, and the legal rights protecting patients. Four experts in the field brought us up to date on the program and answered questions on June 25 at 7 p.m. in Studio A, in the Northern Public Radio studios in the NIU Broadcast Center, 801 N. First Street in DeKalb. The guest panelists included: Dan Linn: Executive Director, Illinois chapter of National Organization to Reform Marijuana Laws,

There’s been a lot of news about strained relationships between police officers and the citizens they serve. Police officials say they’re making changes to improve relations and build trust within the community but critics claim not enough is being done. WNIJ's public forum, “Context - Safe Neighborhoods, Safe City: Changing Roles of Police and Community,” was held Thursday, August 27, 2015, at the Kresge Hall in the Riverfront Museum Park, in Rockford. WNIJ Reporter Sue Stephens moderated the Context panel. Guests were: Rockford Mayor Lawrence J. Morrissey Rockford Police Chief Chet Epperson State Representative Litesa Wallace United Way Community Impact Manager Matthew Simpson For more information about WNIJ's Context series, please contact Maria Boynton, Director of Community Engagement, at mboynton@niu.edu or at (815) 753-9000.

'Some people not only have the Bible translated into their native language but even have various versions of it in their own language. Others might have only one version, if even that. But regardless of what you have, the key point is to cherish it as the Word of God and, most important, to obey what it teaches.'

This tutorial demonstrates how to implement a custom crawler plug-in with IBM Watson Explorer to analyze a hierarchical data structure within the context of content analytics. The strategy outlined here permits the retaining of the hierarchical structure or grains of the model being analyzed.

(United States Second Circuit) - In a trademark suit brought by a provider of healthcare services against a provider of digital health-related content, the District Court's injunction which prohibited defendant from using its marks within plaintiff’s geographic service area, but placed no restriction on defendant's use of its marks on the Internet or outside plaintiff's service area, is affirmed but remanded for expansion of the injunction's scope, where the current limitations placed on defendant were based on an incorrect standard and fail to give plaintiff and the public adequate protection from likely confusion.

This technical appendix from the TRB Airport Cooperative Research Program, ACRP Web-Only Document 38: Technical Appendix to Air Demand in a Dynamic Competitive Context with the Automobile , supplements ACRP Research Report 204: Air Demand in a Dynamic Competitive Context with the Automobile with more detailed documentation of the research effort, including greater technical detail on the analytical models created for the research and their application.

Blast from the Past: This blog entry was first issued on June 30, 2014 and was reissued on March 28, 2020. As I re-introduce this piece, we are sheltering in place as is so much of the world. That means schools are closed in many places and teachers and parents are concerned about what is being lost from children's education. As with many of you, I've been trying to help protect children's learning during these fraught times. Which brings us to today's blog entry, this one about how I taught my own children to read at home.

Invitation Only Research Event

Event participants

Rebecca Wolfe, Lecturer, Harris School for Public Policy and Associate, Pearson Institute for the Study and Resolution of Global Conflicts, University of Chicago
Tom Gillhespy, Principal Consultant, Itad
Shodmon Hojibekov, Chief Executive Officer, Aga Khan Agency for Habitat (Afghanistan)
Chair: Champa Patel, Director, Asia-Pacific Programme, Chatham House

Invitation Only Research Event

Event participants

Viacheslav Chirikba, de facto Minister of Foreign Affairs, Abkhazia

Invitation Only Research Event

Event participants

Rebecca Wolfe, Lecturer, Harris School for Public Policy and Associate, Pearson Institute for the Study and Resolution of Global Conflicts, University of Chicago
Tom Gillhespy, Principal Consultant, Itad
Shodmon Hojibekov, Chief Executive Officer, Aga Khan Agency for Habitat (Afghanistan)
Chair: Champa Patel, Director, Asia-Pacific Programme, Chatham House

Invitation Only Research Event

Event participants

Rebecca Wolfe, Lecturer, Harris School for Public Policy and Associate, Pearson Institute for the Study and Resolution of Global Conflicts, University of Chicago
Tom Gillhespy, Principal Consultant, Itad
Shodmon Hojibekov, Chief Executive Officer, Aga Khan Agency for Habitat (Afghanistan)
Chair: Champa Patel, Director, Asia-Pacific Programme, Chatham House

Bokai Song
Apr 28, 2020; 0:RA120.001981v1-mcp.RA120.001981
Research

The cyclic GMP-AMP synthase (cGAS) protein is a pattern-recognition receptor of the mammalian innate immune system that is recognized as a main cytosolic sensor of pathogenic or damaged DNA. cGAS DNA binding initiates catalytic production of the second messenger, cyclic GMP-AMP, which activates the STING-TBK1-IRF3 signaling axis to induce cytokine expression. Post-translational modification (PTM) has started to be recognized as a critical component of cGAS regulation, yet the extent of these modifications remains unclear. Here, we report the identification and functional analysis of cGAS phosphorylations and acetylations in several cell types under basal and immune-stimulated conditions. cGAS was enriched by immunoaffinity purification from human primary fibroblasts prior to and after infection with herpes simplex virus type 1 (HSV-1), as well as from immune-stimulated STING-HEK293T cells. Six phosphorylations and eight acetylations were detected, of which eight PTMs were not previously documented. PTMs were validated by parallel reaction monitoring (PRM) mass spectrometry in fibroblasts, HEK293T cells, and THP-1 macrophage-like cells. Primary sequence and structural analysis of cGAS highlighted a subset of PTM sites with elevated surface accessibility and high evolutionary sequence conservation. To assess the functional relevance of each PTM, we generated a series of single-point cGAS mutations. Stable cell lines were constructed to express cGAS with amino acid substitutions that prevented phosphorylation (Ser-to-Ala) and acetylation (Lys-to-Arg) or that mimicked the modification state (Ser-to-Asp and Lys-to-Gln). cGAS-dependent apoptotic and immune signaling activities were then assessed for each mutation. Our results show that acetyl-mimic mutations at Lys384 and Lys414 inhibit the ability of cGAS to induce apoptosis. In contrast, the Lys198 acetyl-mimic mutation increased cGAS-dependent interferon signaling when compared to the unmodified charge-mimic. Moreover, targeted PRM quantification showed that Lys198 acetylation is decreased upon infections with two herpesviruses—HSV-1 and human cytomegalovirus (HCMV), highlighting this residue as a regulatory point during virus infection.

T cells isolated from the pancreatic infiltrates of non-obese diabetic mice have been shown to recognize epitopes formed by the covalent cross-linking of proinsulin and secretory granule peptides. Formation of such hybrid insulin peptides (HIPs) was confirmed through mass spectrometry and responses to HIPs were observed among the islet-infiltrating T cells of pancreatic organ donors and in the peripheral blood of individuals with type 1 diabetes (T1D). However, questions remain about the prevalence of HIP-specific T cells in humans, the sequences they recognize, and their role in disease. We identified six novel HIPs that are recognized in the context of DRB1*04:01, discovered by utilizing a library of theoretical HIP sequences derived from insulin fragments covalently linked to one another or to fragments of secretory granule proteins or other islet-derived proteins. We demonstrate that T cells that recognize these HIPs are detectable in the peripheral blood of subjects with T1D and exhibit an effector memory phenotype. HIP-reactive T cell clones produced Th1-associated cytokines and proliferated in response to human islet preparations. These results support the relevance of HIPs in human disease, further establishing a novel post-translational modification that may contribute to the loss of peripheral tolerance in T1D.

Research Event

Event participants

Tom Butler, Chief Executive Officer, International Council for Mining and Metals (ICMM)
Evelyn Dietsche, Associate Fellow, Energy, Environment and Resources, Chatham House
Chair: Bernice Lee, Executive Director, Hoffman Centre, Chatham House 

Thailand has become a key destination for migrant workers, primarily from Myanmar, Cambodia, and Laos. Many lack authorization, however, and as their numbers have grown, so has the government's intent in regulating their movement—sometimes provoking unintended results. This article explores recent patterns in labor migration to Thailand and examines the likely impacts of a 2017 decree criminalizing illegal employment.

In advance of the December 2018 adoption of the Global Compact for Safe, Orderly, and Regular Migration and its commitment to facilitate the return, readmission, and reintegration of migrants, this webinar examines the policies, practices, and contextual factors that make compulsory returns such a difficult issue for international cooperation, and the programs that are being implemented to make reintegration of returnees sustainable.