Miracle-dz/UniFAR-FTUs huggingface dataset:
FastHybrid: A Hybrid Model for Efficient Answer Selection

Answer selection is a core component in any question-answering systems. It aims to select correct answer sentences for a given question from a pool of candidate sentences. In recent years, many deep learning methods have been proposed and shown excellent results for this task. However, these methods typically require extensive parameter (and hyper-parameter) tuning, which give rise to efficiency issues for large-scale datasets, and potentially make them less portable across new datasets and domains (as re-tuning is usually required). In this paper, we propose an extremely efficient hybrid model (FastHybrid) that tackles the problem from both an accuracy and scalability point of view. FastHybrid is a light-weight model that requires little tuning and adaptation across different domains. It combines a fast deep model (which will be introduced in the method section) with an initial information retrieval model to effectively and efficiently handle answer selection. We introduce a new efficient attention mechanism in the hybrid model and demonstrate its effectiveness on several QA datasets. Experimental results show that although the hybrid uses no training data, its accuracy is often on-par with supervised deep learning techniques, while significantly reducing training and tuning costs across different domains.
VMon: Monitoring and Quantifying Virtual Machine Interference via Hardware Performance Counter

Virtualization greatly improves resource utilization in IaaS platforms, but it also introduces potential interference between virtual machines (VMs). For example, VMs may suffer from performance degradation, when they are located in one host and compete for sharing physical resources. Thus, how to efficiently monitor and quantify the VMs interference becomes a key challenge for IaaS providers. In this paper, we present Vmon, a system to transparently monitor and quantify the interference between VMs with the hardware performance counters (HPCs). By collecting the HPCs of different VMs and exploring the LLC miss rates within HPCs, Vmon analyzes the relationship between the LLC miss rates and VM performance degradation to predict the interference between different resource-intensive VMs, and mitigate the VMs interference. The experimental results show that Vmon predicts the performance degradation in the accuracy of more than 90% with less than 10% performance overhead.
Emotion-cognition interactions

Western scholarship has traditionally portrayed human emotions as problematic. Moreover, emotions frequently appear irrational, even dangerous, as they arise out of faulty or exaggerated perceptions of reality and can give rise to rash, impassioned behavior. Given that this view of emotions has prevailed in large strands of scholarship, from classical Greek writings onward, many contemporary emotion scholars have claimed that emotions subvert rational judgments concerning morality, blame, causality and the good life, and thus ought to be minimized when perceiving the world or making decisions For example, Immanuel Kant, in writing about judgments related to justice, suggested that emotions like " sympathy " be considered unreliable because such emotions reduce humans to " tender-hearted idlers " (Kant, 1960). The rare exception was the 18 th century moral philosopher David Hume, who contended that "Reason is and ought to be the slave of passion. " This dualistic perspective on emotion and reason presupposes that the relationship between emotion and cognition is necessarily one of antagonism. Emotions and rational thought fight one another, it is assumed, for control over behavior, beliefs and interpretations of the social world. Yet twenty-five years of empirical research on the interplay of emotion and cognition, reviewed in this chapter, converges on an alternative point of view back to Herbert Simon (1967) who pointed out that at any given moment intelligent agents— human beings—are confronted with a plethora of environmental stimuli and possible goals. Emotions enable agents to prioritize certain goals and actions over others, setting in motion specific cognitive processes to navigate a complex and unpredictable world (see also Oatley & In this chapter we survey what has been learned through the scientific study of the interface of emotion and cognition. By " emotion " we mean brief, physiologically-based states that are defined by a valenced phenomenological experience and that orient the individual to respond to specific threats and opportunities in the environment (Keltner & Lerner, 2010). In using the term " cognition, " we specifically refer to the more deliberative, controlled mental processes that are rooted in language, conceptual knowledge, and representation. Empirical studies of the emotion-cognition interface can be placed in two broad categories. The first centers upon the study of the cognitive processes that give rise to specific emotions. A second concerns how emotional responses influence various cognitive processes. We review landmark findings and theories within these literatures, and end by …
Thinking high : the impact of cannabis on human cognition

The research presented in this thesis focused on the effects of cannabis on mental functions and the brain. Specifically, the investigation aimed at exploring how cannabis affects creative thinking, awareness of errors, and the neurotransmitter dopamine among regular cannabis users. It was discovered that cannabis does not improve creativity and that it can decrease error awareness and impair dopaminergic functioning. Consequently, these findings allow for a better understanding of the nature of subtle mental impairments among chronic cannabis users.
Privacy preserving trusted social feedback

With the growth of social networks, recommender systems have taken advantage of the social network graph structures to provide better recommendation. In this paper, we propose a privacy preserving trusted social feedback (TSF) system, in which users obtain feedback on questions or items from their friends. It is different from and independent of a typical recommender system because the responses from friends are not automated but tailored to specific questions. TSF can be used to complement the results from a recommender system. Our experimental prototype runs on the Google App Engine and utilises the Facebook social network graph. In our experimental evaluation, we have looked at users' perceptions of privacy and their trust in the prototype as well as the performances on the client side and the cloud side.
A framework for dynamic analysis dependency in component-based system

Dependency analysis is a useful technique that has many applications in software engineering activities. In this paper, we present a new dynamic dependency analysis framework for COM. The framework utilizes probe techniques to create proxy components. Dependency analysis algorithm is proposed to extract dependencies in component-based system. The experiment results show that the dependency analysis framework can extract dependencies among components dynamically and accurately.
An Evaluation of a Smartphone–Assisted Behavioral Weight Control Intervention for Adolescents: Pilot Study

Background The efficacy of adolescent weight control treatments is modest, and effective treatments are costly and are not widely available. Smartphones may be an effective method for delivering critical components of behavioral weight control treatment including behavioral self-monitoring. Objective To examine the efficacy and acceptability of a smartphone assisted adolescent behavioral weight control intervention. Methods A total of 16 overweight or obese adolescents (mean age=14.29 years, standard deviation=1.12) received 12 weeks of combined treatment that consisted of weekly in-person group behavioral weight control treatment sessions plus smartphone self-monitoring and daily text messaging. Subsequently they received 12 weeks of electronic-only intervention, totaling 24 weeks of intervention. Results On average, participants attained modest but significant reductions in body mass index standard score (zBMI: 0.08 standard deviation units, t (13)=2.22, P=. 04, d=0.63) over the in-person plus electronic-only intervention period but did not maintain treatment gains over the electronic-only intervention period. Participants self-monitored on approximately half of combined intervention days but less than 20% of electronic-only intervention days. Conclusions Smartphones likely hold promise as a component of adolescent weight control interventions but they may be less effective in helping adolescents maintain treatment gains after intensive interventions.
Correlation of Translation and Other Language Activities.

International cooperation in all professional settings makes translation a very important tool of interpersonal and professional relations of specialists in different domains. Training of undergraduates and graduates’ translation skills in a special setting is included in the curriculum of non-linguistic higher education institutions and studied from various aspects. The objective of the paper is to consider some psychological and teaching issues related to translation as a language activity. Russian and foreign researchers’ works and the findings of the practical experience of Foreign Languages Department of Law Institute, Peoples` Friendship University of Russia are presented. The survey of the specialists with different practical experience of translation in the law setting is analyzed. The examination of training translation in the law setting at non linguistic higher education institution is provided. The data of the current research can be used in teaching practice to develop the translation skills of the undergraduates, graduates and postgraduates.
A Language for Safe Capability Based Collaboration

In capability secure systems it is important to understand the restrictive influence programmed entities (e.g. procedures, objects, modules, components) have on the propagation of influence in a program. We explain why Take-Grant systems are not sufficiently expressive for this task, and we provide a new formalism – Authority Reduction systems (AR-systems) – to model collaborative propagation. AR-systems provide safe and tractable approximations of adequate precision for the confinement properties in configurations of collaborating entities. We propose a domain specific declarative language – SCOLL (Safe COLlaboration Language) – to express the collaborative behavior of subjects, the initial conditions in a configuration, and the requirements about confinement and liveness that are to be ensured. We provide the syntactic structure and an operational and denotational semantics for the language. From experiments with a first implementation, we provide a preliminary result and show how patterns for capability based collaboration can be analyzed and generated.
Cornerstones of University Choice: Context, Mental Models, and Decision-Making Processes

Student recruitment is an increasingly important topic for universities worldwide. But in order to develop sophisticated recruitment strategies, recruitment officers need to have a clear understanding of how and why students choose colleges. This review compares the German and US research concerning university choice models, choice criteria, and information sources prospective students use when exploring their options after school. The paper emphasizes the complexity of the decision-making processes of freshmen and reveals three gaps in the German student recruitment research literature. The development of a German university choice model, an increased application of explorative research methodologies, and the consideration of additional aspects possibly impacting the college choice could help to refine German research approaches.
SoLSCSum: A Linked Sentence-Comment Dataset for Social Context Summarization

This paper presents a dataset named SoLSCSum for social context summarization. The dataset includes 157 open-domain articles along with their comments collected from Yahoo News. The articles and their comments were manually annotated by two annotators to extract standard summaries. The inter-annotator agreement is 74.5% and Cohen's Kappa is 0.5845. To illustrate the potential use of our dataset, a learning to rank model was trained by using a set of local and cross features. Experimental results demonstrate that: (1) our model trained by Ranking SVM obtains significant improvements from 5.5% to 14.8% of ROUGE-1 over state-of-the-art baselines in document summarization and (2) our dataset can be used to train summary methods such as SVM.
Advanced Driver-Assistances systems With Vehicle Lateral Displacement Using Front Sensors

:- An automated steering control system for passenger carsis analyzed.ADAS using displacement of lateral control system for fornt sensor and GPS. Has been evaluated using system simulations. They have been following different Types:1.The steering angles can be estimated.Type:2 The road curvature estimator for real time situations is design based on its relationship with the steering angle. Type:3 The vehicle’s lateral displacements with respect to the road is accomplishes.The proposed estimation and control algorithms are valiated by system simulation result.They show that this lateral steering control system achieve good and robust rformance for vehicles to follow a reference path.
User-Rank: Generic Query Optimization for Participatory Social Applications

Online social networks have become a key communication medium for millions of Internet users. Building on this success a new class of social applications have emerged that use online social networks as a platform to access an established community of users. While some social applications act as a forum for users to interact, an emerging class of participatory social applications creates value by using data received from users to deliver a service. The success of participatory social applications is dependent on user responsiveness to application queries. In this paper we propose 'User-Rank', an application-independent approach to optimizing the querying of social network users. The design of User-Rank is based upon a 30-day experiment, which involved sending 3,055 messages to 70 users to determine the factors influencing response time and message loss. User-Rank achieves significant performance improvements relative to random querying and is lightweight with minimal memory and computational requirements.
A New Sauropod Dinosaur from the Lower Cretaceous Cedar Mountain Formation, Utah, USA

Brontomerus mcintoshi is a new genus and species of sauropod dinosaur from the Hotel Mesa Quarry in Grand County, Utah, USA, in the upper part of the Ruby Ranch Member (Aptian—Albian) of the Lower Cretaceous Cedar Mountain Formation. It is known from at least two fragmentary specimens of different sizes. The type specimen is OMNH 66430, the left ilium of a juvenile individual; tentatively referred specimens include a crushed presacral centrum, a complete and well-preserved mid-to-posterior caudal vertebra, the partial centrum of a distal caudal vertebra, a complete pneumatic anterior dorsal rib from the right side, the nearly complete left scapula of a much larger, presumably adult, individual, and two partial sternal plates. Brontomerus is diagnosed by five autapomorphies of the type specimen: preacetabular lobe 55% of total ilium length, longer than in any other sauropod; preacetabular lobe directed anterolaterally at 30° to the sagittal, but straight in dorsal view and vertically oriented; postacetabular lobe reduced to near absence; ischiadic peduncle reduced to very low bulge; ilium proportionally taller than in any other sauropod, 52% as high as long. In a phylogenetic analysis, Brontomerus was recovered as a camarasauromorph in all most parsimonious trees, but with uncertain position within that clade. The large preacetabular lobe of the ilium anchored powerful protractor and abductor muscles, but precise interpretation is impossible without functionally related elements such as femora and proximal caudal vertebrae. Brontomerus is the eighth sauropod genus named from the Early Cretaceous of North America, and more remain to be described: North American sauropod diversity did not decline catastrophically at the end of the Jurassic as often assumed. The most striking differences between Late Jurassic and Early Cretaceous sauropod faunas in North America is that the former are abundant and dominated by diplodocids, whereas the latter are comparatively scarce— though still diverse—and dominated by macronarians.
A Document Clustering Method Based on One-Dimensional SOM

In this paper a new method is presented and used in clustering document collections. This method is based on the one-dimensional arrays of Self-Organizing Map network (1-D SOM array). The main idea of this method is to obtain the clustering results by calculating the distances between every two adjacent MSPs (the most similar prototype to the input vector ) of well trained 1-D SOM. The process is simple, easy to understand and unnecessary to give the number of clusters beforehand. The experimental results show that this method works well in clustering document collection.
Investigation on mechanical strength and lifetime of PANDA polarization-maintaining fibers fabricated by PCVD method

In this paper, the brief fabricating process of PANDA polarization maintaining optical fibers by PCVD method is introduced. And the mechanical strength and employing lifetime of PCVD polarization maintaining fibers under room temperature and 125°C temperature are investigated and compared. All results indicate that PANDA polarization maintaining fibers fabricated by PCVD method possess excellent mechanical properties and long-term reliability.
Alan Turing Universal Turing Machine

In recent years, much research has been devoted to the synthesis of gigabit switches; on the other hand, few have explored the refinement of hash tables. In fact, few cryptographers would disagree with the improvement of the lookaside buffer. In this work, we use signed technology to show that architecture and superblocks are usually incompatible.
Input Impedance Measurement of a Dipole Antenna Mounted on a Car Tire

For the design of an antenna that will be directly attached to a car tire, the proximity effects due to the tire have to be considered. Measurements are performed on a dipole antenna that is mounted at the inside of the tire tread to determine the change in input impedance and resonant frequency caused by the dielectric rubber material and the metal reinforcement of the tire. A differential measurement setup with a vector network analyzer is presented to realize a symmetric antenna feed and to avoid a non-ideal balun. The measurement results are compared with simulations and good agreement is found.
Ten Simple Rules for Writing a Reply Paper

Efforts to subject one’s own pet hypotheses to severe tests, to attempt to falsify them, are always warranted. The likelihood that one will impose unrealistically high standards is quite low. The same cannot be said for the standards that scientists set for the work of their opponents…. As unseemly as factionalism in science may be, it does serve a positive function. It enlists baser human motives for higher causes. —David L. Hull, Science as a Process: An Evolutionary Account of Social and Conceptual Development of Science [1] Have you read a paper or watched a presentation at a scientific conference with an utterly wrong or unsubstantiated conclusion? Have you participated in a discussion group wherein the group identified a fatal flaw in a recently published paper? The simple thing to do is discard the paper that you just read, ask a tough question at the end of the presentation, and make jokes about the paper with your colleagues at the end of the discussion, respectively. By the time students complete their PhD, they have probably seen instances of all three of these. But rather than stop there, it may be appropriate to invest substantial extra effort to write a formal reply.
Low Expression of lncRNA-GAS5 Is Implicated in Human Primary Varicose Great Saphenous Veins

The cellular mechanisms of primary varicose great saphenous veins (GSVs) involve inflammation, apoptosis, and proliferation of local cells and extracellular matrix degradation. Long non-coding RNAs (lncRNAs) play important roles in these cellular processes; however, which and how lncRNAs related to these mechanisms take effect on GSVs remain unclear. By screening lncRNAs that might experience changes in GSV varicosities, we selected the lower expressed lncRNA-GAS5 (growth arrest specific transcript 5) for functional assessments. Silencing of lncRNA-GAS5 promoted cell proliferation and migration, and cell cycle of the human saphenous vein smooth muscle cells (HSVSMCs), whereas overexpressing it inhibited these cellular behaviors and reduced apoptosis of HSVSMCs. RNA pull-down experiment revealed a direct bind of lncRNA-GAS5 to a Ca2+-dependent RNA-binding protein, Annexin A2. Further experiments showed that silencing of Annexin A2 reduced the HSVSMCs proliferation and vice versa. In the context of lncRNA-GAS5 knockdown, silencing of Annexin A2 reduced the proliferation of HSVSMCs while overexpression of Annexin A2 increased the proliferation. Thus, the low expression of lncRNA-GAS5 may facilitate HSVSMCs proliferation and migration through Annexin A2 and thereby the pathogenesis of GSV varicosities.
Adapting the Islands of Safety Model for LGBTQ2S+ Communities

The purpose of this study was to gain initial feedback from lesbian, gay, bisexual, trans, queer, two-spirit and other gender and sexual minority (LGBTQ2S+) counsellors, social workers and anti-violence workers on the Islands of Safety response-based model and whether it could be used in LGBTQ2S+ communities. Online, asynchronous focus groups were conducted over the course of a week in February 2016 with 26 counsellors, social workers, psychiatric nurses, antiviolence workers and outreach workers from across a spectrum of genders, sexualities and ethnicities. Results showed that resistance and dignity were the most embraced response-based ideas. Focusing on both responses and impacts of violence was important. Including family of choice, using the client’s language for their gender and sexuality and not making assumptions about family structure and the gender of the primary parent was important. Participants who stated that they knew about or were connected to Métis and Indigenous cultures and politics supported working to bridge differences in genders and sexualities across cultures without changing the Islands of Safety model. Non-Indigenous, non-Métis LGBTQ+ health care practitioners need more training around Métis and Indigenous views of gender and family structure to contextualize the traditional view of family used in the model. Adapting the Islands of Safety model for LGBTQ2S+ communities iv