nils-herrmann/clean_scirepeval huggingface dataset:
Annotation of Lexical Cohesion in English and German: Automatic and Manual Procedures
Venue: KONVENS

The present paper describes procedures to annotate lexical cohesion in GECCo, a corpus of English and German texts that includes both written and spoken data. Lexical cohesion is an important linguistic component of meaningful discourse and contributes to the overall coherence and thematic continuity of a text. Aiming at a highly precise, fine grained annotation and avoiding time consuming procedures, we combine automatic and manual annotation procedures. In this paper, we present the main concepts underlying the annotation and outline the encoding scheme that we apply. We describe the annotation principles and the classification of the sense relations included in our scheme. We also present both automatic and manual procedures and evaluate them in terms of their performance and inter annotator agreement.
A Contrastive Study of Lexical Cohesion in English Short Story Books Written by Native English and Iranian Authors

The present study aimed at probing into the use of lexical cohesion sub devices in English short story books written by native English and Iranian authors. To this end, the researcher selected two short stories, i.e. Joseph Conrad and Simin Daneshvar as the native and Iranian corpus of the study respectively. Then, he used Halliday and Hassan's (1976) taxonomy of lexical cohesion for analyzing the samples of lexical cohesion was used. After collecting the data from the two sets of corpora, the researcher estimated the frequency and density of lexical cohesion ties. The results indicated that there was a statistically significant difference in the use of lexical ties in two corpora. In addition, the results revealed that in native English short story book the density of lexical ties was more than in the Iranian short story book. The findings have several implications for language instructors, university students and Iranian authors.
Relations among Adiposity and Insulin Resistance with Flow Mediated Dilation, Carotid Intima Media Thickness, and Arterial Stiffness in Children.
Venue: The Journal of pediatrics

To determine the associations of adiposity and insulin resistance with measures of vascular structure and function in children.  A cross sectional study included 252 children (age 15.1 2.4 years; body mass index percentile 68.2 26.5% Tanner 2 5) Measurements of body fat percentage were obtained with dual energy X ray absorptiometry and visceral adipose tissue (VAT) with computed tomography. Insulin resistance was measured with hyperinsulinemic euglycemic clamp. Vascular measurements for endothelial function (brachial artery flow mediated dilation [FMD] vascular structure (carotid intima media thickness [cIMT] vascular stiffness (carotid incremental elastic modulus) and pulse wave velocity were analyzed by tertiles of adiposity and insulin resistance. Additional analyses with ANCOVA and linear regression were adjusted for Tanner, sex, race, and family relationship; FMD was also adjusted for baseline artery diameter.  FMD was positively associated with high adiposity (body mass index, body fat percentage, and VAT) (P .01 all) Insulin resistance was not associated with FMD. cIMT was significantly, positively related to obesity, VAT, and insulin resistance (P .05 all) No differences in carotid incremental elastic modulus and pulse wave velocity were observed in relation to adiposity or insulin resistance.  The findings suggest that adiposity is associated with higher FMD, and insulin resistance and VAT are associated with higher cIMT in children. Further research is needed to clarify the progression of these relations.
Mechanical and durability properties of concretes incorporating natural zeolite

This paper investigates the application of natural zeolite as a substitute of cement in concrete. It studies the mechanical and durability properties of concretes containing 10% of natural zeolite and superplasticizer, as well as 10% of natural zeolite, superplasticizer and an air entraining agent in comparison to concretes without natural zeolite. The study shows that fresh concrete mixture containing zeolite due to its high surface area demands a higher dosage of superplasticizer to achieve the targeted slump flow. While concretes containing natural zeolite characterize a lower compressive strength until 90 days of hardening, the compressive strength exceeds the strength of the concretes without zeolite after 180 days. The results also reveal the considerable effectiveness of using a superplasticizer and an air entraining agent in zeolite incorporating concretes on water penetration, drying shrinkage and freeze thaw resistance of concretes.
Network Anomaly Traffic Detection Method Based on Support Vector Machine
Venue: 2016 International Conference on Smart City and Systems Engineering (ICSCSE)

Network traffic is the amount of data moving across a network at a specific time, and anomaly traffic detection is of great importance in computer networks. In this paper, we integrate the entropy theory and support vector machine to detect Network anomaly traffic. We utilize the entropy theory to establish the network traffic feature vector using the entropy theory, and then exploit the support vector machine to detect the network anomaly traffic by tackling a classification problem. Particularly, six types of network features are used to construct feature vector in this work, such as Source IP, Destination IP, Source Port, Destination Port, Packet Size and Packet Type. Afterwards, we provide the network feature vector to SVM to learn network traffic behaviors. Experimental results demonstrate that compared with existing method, our proposed method can detect network anomaly traffic with high accuracy.
Design of induction heating devices using ELTA and 2DELTA software
Venue: 2016 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)

This work deals with investigating of heat treatment and forging steel billets of round and rectangular cross section using induction method of heating. Several industrial processes and induction installations used nowadays are very old and have to be sufficiently improved from technical and economical point of view. The first steps `Conceive Design' before `Implement Operate' ones need detail experimental and calculation investigations. The general purpose FE programs such as Flux 2D and 3D, Ansys, etc. are rather complicated and time consuming software to realise computer simulation. In multi stage induction lines, the number of stages and the overall space are very big, that creates difficulties in using these programs. The ideology of ELTA programs is different. The engineering programs do not require special knowledge in computer simulation due to simple self explanatory interfaces, preinstalled design options and database. This presentation is devoted to design of induction systems using programs ELTA 6.0 and 2DELTA. ELTA is a program based on 1D and 2D Finite Difference Method (FDM) with semi analytical account for the lengths of individual inductors and loads. Calculations in ELTA are designed `in series of steps' i.e. power and temperature are calculated for each heating stage (inside the induction coils) and `cooling' stage (spaces between coils, quenching and holding zones) 2DELTA provides a two dimensional simulation of electromagnetic and thermal fields in cylindrical induction heaters using both integral and differential numerical methods. Multiple tests and comparison of simulation and experimental results show good accuracy of these programs. Description of the computer assisted design of induction lines is illustrated by several examples.
Tutorial on Stochastic Optimization in Energy Part I: Modeling and Policies
Venue: IEEE Transactions on Power Systems

There is a wide range of problems in energy systems that require making decisions in the presence of different forms of uncertainty. The fields that address sequential, stochastic decision problems lack a standard canonical modeling framework, with fragmented, competing solution strategies. Recognizing that we will never agree on a single notational system, this two part tutorial proposes a simple, straightforward canonical model (that is most familiar to people with a control theory background) and introduces four fundamental classes of policies which integrate the competing strategies that have been proposed under names such as control theory, dynamic programming, stochastic programming and robust optimization. Part II of the tutorial illustrates the modeling framework using a simple energy storage problem, where we show that, depending on the problem characteristics, each of the four classes of policies may be best.
Lectures on Bsdes, Stochastic Control, and Stochastic Differential Games with Financial Applications

The goal of this textbook is to introduce students to the stochastic analysis tools that play an increasing role in the probabilistic approach to optimization problems, including stochastic control and stochastic differential games. While optimal control is taught in many graduate programs in applied mathematics and operations research, the author was intrigued by the lack of coverage of the theory of stochastic differential games. This is the first title in SIAM's Financial Mathematics book series and is based on the author s lecture notes. It will be helpful to students who are interested in stochastic differential equations (forward, backward, forward backward) the probabilistic approach to stochastic control (dynamic programming and the stochastic maximum principle) and mean field games and control of McKean Vlasov dynamics. The theory is illustrated by applications to models of systemic risk, macroeconomic growth, flocking/schooling, crowd behavior, and predatory trading, among others.  This book is written for young researchers and newcomers to stochastic control and stochastic differential games.
What is memory? The present state of the engram
Venue: BMC Biology

The mechanism of memory remains one of the great unsolved problems of biology. Grappling with the question more than a hundred years ago, the German zoologist Richard Semon formulated the concept of the engram, lasting connections in the brain that result from simultaneous "excitations" whose precise physical nature and consequences were out of reach of the biology of his day. Neuroscientists now have the knowledge and tools to tackle this question, however, and this Forum brings together leading contemporary views on the mechanisms of memory and what the engram means today.
Eliciting teamwork with game attributes: A systematic review and research agenda
Venue: Comput. Hum. Behav.

The modern workplace has become increasingly complex as a function of numerous factors, including technological and economic growth. Teams are more frequently implemented within organizations to facilitate high performance within these complex, dynamic conditions. Game based training has become a common method of delivering training to teams, paralleling the recent trend towards gamification, which refers to integrating games into traditionally non game based settings. However, the extant literature remains nascent as there is a dearth of theory relating independent game attributes to teamwork behaviors. Specifically, it is unknown why or how game based training may foster desired competencies within teams. To address this gap, the present article conducts a systematic review to identify opportunities for research and potential relationships between game attributes and teamwork behaviors. These proposed relationships are ultimately intended to uncover the manner in which game based training can be leveraged to facilitate effective teamwork. Existing research linking game based training to teamwork is reviewed.Future research opportunities in the area of game based training are identified.Propositions linking game based training to teamwork are described.
Decontamination of breast pump milk collection kits and related items at home and in hospital: guidance from a Joint Working Group of the Healthcare Infection Society and Infection Prevention Society.
Venue: The Journal of hospital infection

A variety of methods are in use for decontaminating breast pump milk collection kits and related items associated with infant feeding. This paper aims to provide best practice guidance for decontamination of this equipment at home and in hospital. It has been compiled by a Joint Working Group of the Healthcare Infection Society and the Infection Prevention Society.  The guidance has been informed by a search of the literature in Medline, the British Nursing Index, the Cumulative Index to Nursing and Allied Health Literature, Midwifery and Infant Care, and the results of two surveys of UK neonatal units in 2002/3 and 2006, and of members of the Infection Prevention Society in 2014. Since limited good quality evidence was available from these sources, much of the guidance represents good practice based on the consensus view of the Working Group.  This guidance provides practical recommendations to support the safe decontamination of breast pump milk collection kits for healthcare professionals to use and communicate to other groups such as parents and carers.
Fuzzy system to adapt web voice interfaces dynamically in a vehicle sensor tracking application definition
Venue: Soft Comput.

The Vitruvius platform is focused on vehicles and the possibility of working with their multiple sensors, and the real time data they can provide. With Vitruvius, users can create software applications specialized for the automotive context (e.g. monitor certain vehicles, warn when a vehicle sensor exceeds a certain value, etc. with the help of fuzzy rules to make decisions. To create applications, users are provided with a domain specific language that greatly facilitates the process. However, drivers and some passengers cannot create applications on the fly since they need to type to accomplish such a goal. In this paper, we present an adaptive speech interface to allow users to create applications by only using their voice. In addition, the application is based on fuzzy rules to suit the level of experience of users. The application provides an interface that is balanced between the amount of work users have to do and the help the system provides based on the knowledge and ability of each potential user.
MOVESET: MOdular VEhicle SEnsor Technology
Venue: 2016 IEEE Vehicular Networking Conference (VNC)

New vehicles are being equipped with a variety of on board sensors, as well as DSRC and cellular radios. These sensors and connectivity capabilities create opportunities for innovative applications for flow control, route planning, and road safety. Such applications rely on up to date data transmitted by the vehicles to analyze real time road and driving conditions. Due to the time sensitive nature of these data, it is important to identify and understand connectivity characteristics that impact vehicle data sharing and communication, including both vehicle to vehicle communication through DSRC and vehicle to infrastructure communication through cellular channels. We present MOdular VEhicle SEnsor Technology (MOVESET) a low cost vehicle sensor package that allows independent research groups to create datasets of vehicle sensors readings correlated with measurements of cellular and DSRC connectivity. We also present a dataset of measurements conducted in September of 2016 on an interstate and rural highways along the Bozeman, MT, Billings, MT, Red Lodge, MT, Bozeman, MT route. We hope that the MOVESET sensor platform and the presented dataset will make it easier for the research community to design and evaluate data integration applications for connected vehicles.
Indoor position determination using location fingerprinting and vehicle sensor data
Venue: 2016 European Navigation Conference (ENC)

In this paper we present a system for position determination of vehicles in indoor areas such as parking garages or underground parking lots. By combining location fingerprinting using Bluetooth signal strengths and relative positioning using vehicle sensor data (speed and yaw rate) in a collective filter arrangement, an ubiquitous and stable vehicle positioning is provided. Hereby, both a Kalman filter and a particle filter were investigated and compared. By further incorporating signals from Global Navigation Satellite Systems in outdoor areas, a seamless outdoor indoor positioning could be achieved. With the presented techniques, an accuracy of 2 m is feasible at a low financial effort.
Effects of Global Capabilities of Small and Medium Businesses on Their Competitive Advantage and Business Management Performances
Venue: Int. J. Fuzzy Log. Intell. Syst.

This paper categorized Korean small and medium businesses' global capabilities based on the preceding studies about the global capabilities and then, examined how their global capabilities would affect their competitive advantages and business management performances. As a result of testing the research model, it was found that the small and medium businesses' global capabilities had some significant effects on their competitive advantage (p .05) which means that the competitive advantage has some mediating effects on the correlation between the global capabilities and the business management performances. Accordingly it was possible to analyze the correlation between global capabilities of small and medium businesses and their competitive advantage and thereby, provide for an opportunity to shift the paradigm of the global competition strategies.
On the uncertain nature of the core of a Cen A

High quality astrometric, spectroscopic, interferometric and, importantly, asteroseismic observations are available for \alpha$ Cen A, which is the closest binary star system to earth. Taking all these constraints into account, we study the internal structure of the star by means of theoretical modelling. Using the Aarhus STellar Evolution Code (ASTEC) and the tools of Computational Bayesian Statistics, in particular a Markov chain Monte Carlo algorithm, we perform statistical inferences for the physical characteristics of the star. We find that \alpha$ Cen A has a probability of approximately 40% of having a convective core. This probability drops to few percents if one considers reduced rates for the {14}$N(p,\gamma${15}$O reaction. These convective cores have fractional radii less than 8% when overshoot is neglected. Including overshooting also leads to the possibility of a convective core mostly sustained by the ppII chain energy output. We finally show that roughly 30% of the stellar models describing \alpha$ Cen A are in the subgiant regime.
New tetrapeptide ligands designed for antibody purification with biomimetic chromatography: Molecular simulation and experimental validation

Peptide ligands have been developed as powerful alternatives to Protein A for antibody purification. In this study, a tetrapeptide library with two aromatic residues, one arginine and one aromatic/aliphatic residue ( was constructed considering molecular interactions and applications. The library had 128 peptide ligands and was screened by flexible docking and molecular dynamics simulation. The results indicated that Ac YFRH was the best ligand, and then was coupled onto an aminated argarose matrix. The results of isotherm adsorption showed that the binding capacity of human immunoglobulin G (IgG) was high at pH 78 and low at pH 45. The IgG adsorption also showed obvious salt independence, and the addition of salt could reduce unspecific adsorption caused by electrostatic interaction. After the optimization of pH and salt addition, high IgG purity of 98.4% could be obtained with the recovery of 89.4% from BSA containing feedstock. The purification of monoclonal antibody from CHO cell culture supernatant was tested, and the purity and recovery reached 98.0% and 79.5% respectively. The results demonstrated that the new resin with the tetrapeptide YFRH ligand had high affinity and flexible operation window for IgG purification.
DynaEgo: Privacy Preserving Collaborative Filtering Recommender System Based on Social Aware Differential Privacy
Venue: ICICS

Collaborative filtering plays an important role in online recommender systems, which provide personalized services to consumers by collecting and analyzing their rating histories. At the same time, such personalization may unfavorably incur privacy leakage, which has motivated the development of privacy preserving collaborative filtering (PPCF) mechanisms. Most previous research efforts more or less impair the quality of recommendation. In this paper, we propose a social aware algorithm called DynaEgo to improve the performance of PPCF. DynaEgo utilizes the principle of differential privacy as well as the social relationships to adaptively modify users' rating histories to prevent exact user information from being leaked. Theoretical analysis is provided to validate our scheme. Experiments on a real data set also show that DynaEgo outperforms existent solutions in terms of both privacy protection and recommendation quality.
Piezoresistive pressure sensor array for robotic skin
Venue: SPIE Commercial Scientific Sensing and Imaging

Robots are starting to transition from the confines of the manufacturing floor to homes, schools, hospitals, and highly dynamic environments. As, a result, it is impossible to foresee all the probable operational situations of robots, and preprogram the robot behavior in those situations. Among human robot interaction technologies, haptic communication is an intuitive physical interaction method that can help define operational behaviors for robots cooperating with humans. Multimodal robotic skin with distributed sensors can help robots increase perception capabilities of their surrounding environments. Electro Hydro Dynamic (EHD) printing is a flexible multi modal sensor fabrication method because of its direct printing capability of a wide range of materials onto substrates with non uniform topographies. In past work we designed interdigitated comb electrodes as a sensing element and printed piezoresistive strain sensors using customized EHD printable PEDOT:PSS based inks. We formulated a PEDOT:PSS derivative ink, by mixing PEDOT:PSS and DMSO. Bending induced characterization tests of prototyped sensors showed high sensitivity and sufficient stability. In this paper, we describe SkinCells, robot skin sensor arrays integrated with electronic modules. 4x4 EHD printed arrays of strain sensors was packaged onto Kapton sheets and silicone encapsulant and interconnected to a custom electronic module that consists of a microcontroller, Wheatstone bridge with adjustable digital potentiometer, multiplexer, and serial communication unit. Thus, SkinCell's electronics can be used for signal acquisition, conditioning, and networking between sensor modules. Several SkinCells were loaded with controlled pressure, temperature and humidity testing apparatuses, and testing results are reported in this paper.