nils-herrmann/clean_scirepeval huggingface dataset:
FAST - An Automatic Generation System for Grammar Tests

Testing has long been acknowledged as an integral part of language teaching; however, manually-designed tests are not only time consuming but also labor intensive. Lately, due to the remarkable progress of computer technology, computer-assisted item generation (CAIG) has drawn considerable attention and becomes one of the core subjects in CALL (Computer Assisted Language Learning). CAIG provides an alternative way to automatically generate questions in relatively short time, effectively establish item banks in a large scale, and possibly support adaptive testing for incremental language learning, solving the underlying problems of time and expenditure. Previous work has explored the generation of reading comprehension, vocabulary, and cloze questions, but very little has been done on grammar tests. The purpose of this paper is to address the issue of the automatic creation of English grammar tests. We introduce a method to automatically generate grammar test items by applying Natural Language Processing (NLP) techniques. Based on test patterns adapted from TOEFL (Test of English as Foreign Language), sentences gathered from the Web are transformed into tests on grammaticality. The method involves representing test writing knowledge as structural patterns, acquiring authentic sentences on the Web, and applying patterns to transform sentences into items. At runtime, sentences are converted into two types of TOEFL-style question: multiple-choice and error detection. A prototype system FAST (Free Assessment of Structural Tests) with initial evaluation on a set of generated questions indicates that the proposed method has great potential as an educational application. Our methodology provides a promising approach and offers significant potential for computer assisted language learning and assessment. Key word: computer-assisted item generation, computer assisted language learning, grammar Introduction Language testing, aiming to assess learners’ language ability, is an essential part both for language teaching and learning. Language tests provide information of the results of learning and instruction and can be used to make decisions about individuals (e.g., placement test, achievement test, and diagnostic test). Among all kinds of tests, grammar test is commonly used in every education setting and is always included in well-established standardized tests like TOEFL (Test of English as Foreign Language).
Towards programmable enterprise WLANS with Odin

We present Odin, an SDN framework to introduce programmability in enterprise wireless local area networks (WLANs). Enterprise WLANs need to support a wide range of services and functionalities. This includes authentication, authorization and accounting, policy, mobility and interference management, and load balancing. WLANs also exhibit unique challenges. In particular, access point (AP) association decisions are not made by the infrastructure, but by clients. In addition, the association state machine combined with the broadcast nature of the wireless medium requires keeping track of a large amount of state changes. To this end, Odin builds on a light virtual AP abstraction that greatly simplifies client management. Odin does not require any client side modifications and its design supports WPA2 Enterprise. With Odin, a network operator can implement enterprise WLAN services as network applications. A prototype implementation demonstrates Odin's feasibility.
Enriching very large ontologies using the WWW

This paper explores the possibility to exploit text on the world wide web in order to enrich the concepts in existing ontologies. First, a method to retrieve documents from the WWW related to a concept is described. These document collections are used 1) to construct topic signatures (lists of topically related words) for each concept in WordNet, and 2) to build hierarchical clusters of the concepts (the word senses) that lexicalize a given word. The overall goal is to overcome two shortcomings of WordNet: the lack of topical links among concepts, and the proliferation of senses. Topic signatures are validated on a word sense disambiguation task with good results, which are improved when the hierarchical clusters are used.
Efficient FPGA Implementation of Sigmoid and Bipolar Sigmoid Activation Functions for Multilayer Perceptrons

Artificial Neural Networks base their processing capabilities in a parallel architecture. This makes them extremely useful in pattern recognition, system identification and control problems. Multilayer Perceptron is an artificial neural network with one or more hidden layers. The Activation function determines the performance of a Multilayer Perceptron. In Multi Layer Perceptron, the most commonly used activation functions are sigmoid and bipolar sigmoid activation functions. In this paper we present a FPGA based digital hardware implementation of Sigmoid and Bipolar Sigmoid Activation function. The digital hardware was designed for 32 bit fixed point arithmetic and was modeled using Verilog HDL. The synthesis tool used was Xilinx 10.1 ISE and the design was implemented in Spartan 3 FPGA.
Contactless Sleep Apnea Detection on Smartphones

We present a contactless solution for detecting sleep apnea events on smartphones. To achieve this, we introduce a novel system that monitors the minute chest and abdomen movements caused by breathing on smartphones. Our system works with the phone away from the subject and can simultaneously identify and track the fine-grained breathing movements from multiple subjects. We do this by transforming the phone into an active sonar system that emits frequency-modulated sound signals and listens to their reflections; our design monitors the minute changes to these reflections to extract the chest movements. Results from a home bedroom environment shows that our design operates efficiently at distances of up to a meter and works even with the subject under a blanket.
 Building on the above system, we develop algorithms that identify various sleep apnea events including obstructive apnea, central apnea, and hypopnea from the sonar reflections. We deploy our system at the UW Medicine Sleep Center at Harborview and perform a clinical study with 37 patients for a total of 296 hours. Our study demonstrates that the number of respiratory events identified by our system is highly correlated with the ground truth and has a correlation coefficient of 0.9957, 0.9860, and 0.9533 for central apnea, obstructive apnea and hypopnea respectively. Furthermore, the average error in computing of rate of apnea and hypopnea events is as low as 1.9 events/hr.
OF INDIAN INSTITUTES OF

The study explored different characteristics of linking analysis of sixteen IIT websites. All the IITs have their own websites and all websites working under homogeneous Domain Name System (DNS) “.ac.in”. The comparisons of ranking of Indian Institutes of Technology (IITs) have been done using WISER, WIF (inlink) and World Rank. The WISER ranking and WIF (in-link) is having correlation i.e. +0.0558824 which implied that there is much association or closeness between two ranking methods. WIF (in-link) rank gave much closer value to the world rank. Hence, the IIT Bombay and IIT Madras secured 1 position and 2 position respectively in WIF (in-link) as well as in world rank; whereas, WIF (in-link) position of IIT Rajasthan shows one position better rank than the world ranking i.e. 15th position. The findings of the study will guide to webmasters and library professionals, so that they can overcome the limitations faced by the users and improve their websites. This study will also help the newly established IITs to improve the world rank with other reputed and older IITs. All the websites of IITs may prepare their world rank to compete with other top institutions websites, like Harvard University and Massachusetts Institute of Technology.
Interactive volumetric fog display

Traditional fog screens are 2D. We propose a new design of fog screen that can generate fog at different depth positions and at only where necessary. Our approach applies projection mapping onto a non-planar and reconfigurable fog screen, thus enabling interactive visual contents to be displayed at multiple depth levels. Viewers can perceive the three-dimensionality naturally, and interact with the unencumbered images by touching them directly in mid-air. The display can be used in mixed reality settings where physical objects co-exist and interact with the 3D imagery in physical space.
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks

Named-entity recognition (NER) aims at identifying entities of interest in a text. Artificial neural networks (ANNs) have recently been shown to outperform existing NER systems. However, ANNs remain challenging to use for non-expert users. In this paper, we present NeuroNER, an easyto-use named-entity recognition tool based on ANNs. Users can annotate entities using a graphical web-based user interface (BRAT): the annotations are then used to train an ANN, which in turn predict entities’ locations and categories in new texts. NeuroNER makes this annotationtraining-prediction flow smooth and accessible to anyone.
A comprehensive security architecture for SDN

SDN enables the administrators to configure network resources very quickly and to adjust network-wide traffic flow to meet changing needs dynamically. However, there are some challenges for implementing a full-scale carrier SDN. One of the most important challenges is SDN security, which is beginning to receive attention. With new SDN architecture, some security threats are common to traditional networking, but the profile of these threats (including their likelihood and impact and hence their overall risk level) changes. Moreover, there are some new security challenges such as bypassing predefined mandatory policies by overwriting flow entries and data eavesdropping by inserting fraudulent flow entries. This paper is to design open-flow specific security solutions and propose a comprehensive security architecture to provide security services such as enforcing mandatory network policy correctly and receiving network policy securely for SDN in order to solve these common security issues and new security challenges. It can also help the developers to implement security functions to provide security services when developing the SDN controller.
Global aetiology and epidemiology of type 2 diabetes mellitus and its complications

Globally, the number of people with diabetes mellitus has quadrupled in the past three decades, and diabetes mellitus is the ninth major cause of death. About 1 in 11 adults worldwide now have diabetes mellitus, 90% of whom have type 2 diabetes mellitus (T2DM). Asia is a major area of the rapidly emerging T2DM global epidemic, with China and India the top two epicentres. Although genetic predisposition partly determines individual susceptibility to T2DM, an unhealthy diet and a sedentary lifestyle are important drivers of the current global epidemic; early developmental factors (such as intrauterine exposures) also have a role in susceptibility to T2DM later in life. Many cases of T2DM could be prevented with lifestyle changes, including maintaining a healthy body weight, consuming a healthy diet, staying physically active, not smoking and drinking alcohol in moderation. Most patients with T2DM have at least one complication, and cardiovascular complications are the leading cause of morbidity and mortality in these patients. This Review provides an updated view of the global epidemiology of T2DM, as well as dietary, lifestyle and other risk factors for T2DM and its complications.
New developments in our understanding of acne pathogenesis and treatment.

Interest in sebaceous gland physiology and its diseases is rapidly increasing. We provide a summarized update of the current knowledge of the pathobiology of acne vulgaris and new treatment concepts that have emerged in the last 3 years (2005-2008). We have tried to answer questions arising from the exploration of sebaceous gland biology, hormonal factors, hyperkeratinization, role of bacteria, sebum, nutrition, cytokines and toll-like receptors (TLRs). Sebaceous glands play an important role as active participants in the innate immunity of the skin. They produce neuropeptides, excrete antimicrobial peptides and exhibit characteristics of stem cells. Androgens affect sebocytes and infundibular keratinocytes in a complex manner influencing cellular differentiation, proliferation, lipogenesis and comedogenesis. Retention hyperkeratosis in closed comedones and inflammatory papules is attributable to a disorder of terminal keratinocyte differentiation. Propionibacterium acnes, by acting on TLR-2, may stimulate the secretion of cytokines, such as interleukin (IL)-6 and IL-8 by follicular keratinocytes and IL-8 and -12 in macrophages, giving rise to inflammation. Certain P. acnes species may induce an immunological reaction by stimulating the production of sebocyte and keratinocyte antimicrobial peptides, which play an important role in the innate immunity of the follicle. Qualitative changes of sebum lipids induce alteration of keratinocyte differentiation and induce IL-1 secretion, contributing to the development of follicular hyperkeratosis. High glycemic load food and milk may induce increased tissue levels of 5alpha-dihydrotestosterone. These new aspects of acne pathogenesis lead to the considerations of possible customized therapeutic regimens. Current research is expected to lead to innovative treatments in the near future.
Tracking multiple rigid symmetric and non-symmetric objects in real-time using depth data

In this paper, a robust, real-time object tracking approach capable of dealing with multiple symmetric and non-symmetric objects in a real-time requirement setting is proposed. The approach relies only on depth data to track multiple objects in a dynamic environment and uses random-forest based learning to deal with problems like object occlusion, motion-blur due to camera motion and clutter. We show that the relation between object motion and the corresponding change in its 3D point cloud data can be learned using only 6 random forests. A framework that unites object pose estimation and object pose tracking to efficiently track multiple objects in 3D space is presented. The approach is robust in tracking objects even in presence of motion blur that causes noisy depth data and is capable of real-time performance with 1.8ms per frame. The experimental evaluations demonstrate the performance of the approach against robustness, accuracy and speed and compare the approach with the state of the art. A publicly available dataset with real-world data is also provided for future benchmarking.
Victim derogation and victim enhancement as alternate routes to system justification.

Numerous studies have documented the potential for victim-blaming attributions to justify the status quo. Recent work suggests that complementary, victim-enhancing stereotypes may also increase support for existing social arrangements. We seek to reconcile these seemingly contradictory findings by proposing that victim derogation and victim enhancement are alternate routes to system justification, with the preferred route depending on the perception of a causal link between trait and outcome. Derogating "losers" (and lionizing "winners") on traits (e.g., intelligence) that are causally related to outcomes (e.g., wealth vs. poverty) serves to increase system justification, as does compensating "losers" (and downgrading "winners") on traits (e.g., physical attractiveness) that are causally unrelated to those outcomes. We provide converging evidence using system-threat and stereotype-activation paradigms.
Virtual Notepad: handwriting in immersive VR

We present Virtual Notepad, a collection of interface tools that allows the user to take notes, annotate documents and input text using a pen, while still immersed in virtual environments (VEs). Using a spatially-tracked, pressure-sensitive graphics tablet, pen and handwriting recognition software, Virtual Notepad explores handwriting as a new modality for interaction in immersive VEs. This paper reports details of the Virtual Notepad interface and interaction techniques, discusses implementation and design issues, reports the results of initial evaluation and overviews possible applications of virtual handwriting.
Stakeholders in Global Requirements Engineering: Lessons Learned from Practice

Due to its communication and collaboration-intensive nature, as well as inherent interaction with most other development processes, the practice of requirements engineering is becoming a key challenge in global software engineering (GSE). In distributed projects, cross-functional stakeholder groups must specify and manage requirements across cultural, time-zone, and organizational boundaries. This creates a unique set of problems, not only when an organization opens new development subsidiaries across the world but also when software development is a multiorganizational business affair. We need innovative processes and technologies to manage stakeholders' expectations and interaction in global projects. This article reports on the state of the practice, drawn from industrial empirical studies, of stakeholders' interaction in global RE. The article revisits stakeholders' needs in global RE, discusses the challenges they face in distributed interaction, and offers practical advice to alleviate these challenges, as distilled from empirical studies of GSE practice
Specification-Based Intrusion Detection for Advanced Metering Infrastructures

It is critical to develop an effective way to monitor advanced metering infrastructures (AMI). To ensure the security and reliability of a modernized power grid, the current deployment of millions of smart meters requires the development of innovative situational awareness solutions to prevent compromised devices from impacting the stability of the grid and the reliability of the energy distribution infrastructure. To address this issue, we introduce a specification-based intrusion detection sensor that can be deployed in the field to identify security threats in real time. This sensor monitors the traffic among meters and access points at the network, transport, and application layers to ensure that devices are running in a secure state and their operations respect a specified security policy. It does this by implementing a set of constraints on transmissions made using the C12.22 standard protocol that ensure that all violations of the specified security policy will be detected. The soundness of these constraints was verified using a formal framework, and a prototype implementation of the sensor was evaluated with realistic AMI network traffic.
ERD'14: entity recognition and disambiguation challenge

In this paper we overview the 2014 Entity Recognition and Disambiguation Challenge (ERD'14), which took place from March to June 2014 and was summarized in a dedicated workshop at SIGIR 2014. The main goal of the ERD challenge was to promote research in recognition and disambiguation of entities in unstructured text. Unlike many past entity linking challenges, no mention segmentations were given to the participating systems for a given document. Participants were asked to implement a web service for their system to minimize human involvement during evaluation and to enable measuring the processing times. The challenge has attracted a lot of interest (over 100 teams registered, and 27 of those submitted final results).
 In this paper we cover the task definition, issues encountered during annotation, and provide a detailed analysis of all the participating systems. Specifically, we show how we adapted the pooling technique to address the difficulties of gathering annotations for the entity linking task. We also summarize the ERD workshop that followed the challenge, including the oral and poster presentations as well as the invited talks.
Modelling language evolution: Examples and predictions.

We survey recent computer modelling research of language evolution, focusing on a rule-based model simulating the lexicon-syntax coevolution and an equation-based model quantifying the language competition dynamics. We discuss four predictions of these models: (a) correlation between domain-general abilities (e.g. sequential learning) and language-specific mechanisms (e.g. word order processing); (b) coevolution of language and relevant competences (e.g. joint attention); (c) effects of cultural transmission and social structure on linguistic understandability; and (d) commonalities between linguistic, biological, and physical phenomena. All these contribute significantly to our understanding of the evolutions of language structures, individual learning mechanisms, and relevant biological and socio-cultural factors. We conclude the survey by highlighting three future directions of modelling studies of language evolution: (a) adopting experimental approaches for model evaluation; (b) consolidating empirical foundations of models; and (c) multi-disciplinary collaboration among modelling, linguistics, and other relevant disciplines.
What's basic about basic emotions?

A widespread assumption in theories of emotion is that there exists a small set of basic emotions. From a biological perspective, this idea is manifested in the belief that there might be neurophysiological and anatomical substrates corresponding to the basic emotions. From a psychological perspective, basic emotions are often held to be the primitive building blocks of other, nonbasic emotions. The content of such claims is examined, and the results suggest that there is no coherent nontrivial notion of basic emotions as the elementary psychological primitives in terms of which other emotions can be explained. Thus, the view that there exist basic emotions out of which all other emotions are built, and in terms of which they can be explained, is questioned, raising the possibility that this position is an article of faith rather than an empirically or theoretically defensible basis for the conduct of emotion research. This suggests that perhaps the notion of basic emotions will not lead to significant progress in the field. An alternative approach to explaining the phenomena that appear to motivate the postulation of basic emotions is presented.