nils-herrmann/clean_scirepeval huggingface dataset:
Inertial Sensor Based Modelling of Human Activity Classes: Feature Extraction and Multi sensor Data Fusion Using Machine Learning Algorithms
Venue: eHealth 360deg

Wearable inertial sensors are currently receiving pronounced interest due to applications in unconstrained daily life settings, ambulatory monitoring and pervasive computing systems. This research focuses on human activity recognition problem, in which inputs are multichannel time series signals acquired from a set of body worn inertial sensors and outputs are automatically classified human activities. A general purpose framework has been presented for designing and evaluating activity recognition system with six different activities using machine learning algorithms such as support vector machine (SVM) and artificial neural networks (ANN) Several feature selection methods were explored to make the recognition process faster by experimenting on the features extracted from the accelerometer and gyroscope time series data collected from a number of volunteers. In addition, a detailed discussion is presented to explore how different design parameters, for example, the number of features and data fusion from multiple sensor locations impact on overall recognition performance.
PROFESSIONAL COMMITMENT, ROLE CONFLICT AND LIFE SATISFACTION: A GENDER BASED STUDY OF TEACHER EDUCATORS

The main purpose of the present investigation was to investigate the influence of gender on professional commitment, role conflict and life satisfaction of teacher educators. For the present study, the sample of 200 teacher educators (100 male and 100 female) working in B.Ed. Colleges was selected by using simple random sampling technique. The investigators used Professional Commitment Scale for Teacher Educators by Sood, Life Satisfaction Scale by Alam Srivastava, and Teacher's Role Conflict Scale by Gupta and Nain for the collection of data. Means, S.D's and 't' test were applied for the purpose of data analysis. The findings revealed: a) The professional commitment of male teacher educators was found to be significantly higher than that of the female teacher educators b) Significant differences were found in role conflict and its dimensions except work family conflict, work health conflict and work social conflict of male and female teacher educators c) The male teacher educators have significantly higher life satisfaction than their female counterparts. Gender was found to be significant determinant of professional commitment and life satisfaction in the study. Therefore, there is acute need to focus on enhancing the level of professional commitment, life satisfaction and reducing the level of role conflict among female teacher educators by organising seminars, workshops and counselling sessions for them.
Efficacite des programmes publics en microfinance et inclusion financiere. L'exemple du Benin

After having undergone significant development, microfinance is now being questioned in so much as the current practices in the sector have failed to meet all the financial service needs of populations who are excluded from the traditional banking system. In this context, some countries have tried to limit these shortcomings by introducing a different type of intervention in which the state's role has been rethought. Through the Beninese context, this article aims at identifying the benefits and the drawbacks of the state's return as a direct actor in microfinance.
BENEFITS AND PITFALLS OF STATISTICAL CREDIT SCORING FOR MICROFINANCE Ventajas y Desventajas del Scoring Estadistico para las Microfinanzas Vertus et Faiblesses de l'Evaluation Statistique (Credit Scoring) en Microfinance

This paper discusses the benefits and pitfalls of credit scoring applied to microfi nance. Although scoring will not replace joint liability groups nor loan officers, it does have enough predictive power to significantly improve the evaluation of the risk of loans applicants. This paper discusses what scoring can and cannot do, describes the data that microlenders who plan to use scoring should start to collect from all loan applicants, and outlines the basic steps in a scoring project. Ventajas y Desventajas del Scoring Estadistico para las Microfinanzas Este documento trata sobre las ventajas y desventajas del scoring estadistico para las microfinanzas. Aunque scoring no sustituye a los grupos solidarios ni a los analistas de creditos individuates, si tiene suficiente capacidad de prondstico para realizar una mejoria importante en la evaluacion del riesgo de solicitudes de credito. Este trabajo detalla lo que scoring puede y no puede hacer, la informacion que las organizaciones de microfinanzas que desean usar scoring debenan empezar a reca bar de ahora en adelante de cada solicitud de credito, y traza las etapas basicas en un proyecto de scoring. Este documento esta disponible al www. microfinance. com/Castellano/
TMS induced theta phase synchrony reveals a bottom up network in working memory
Venue: Neuroscience Letters

Global theta phase synchronization between the frontal and sensory areas has been suggested to connect the relevant areas for executive processes of working memory (WM) However, little is known regarding network directionality (i.e. top down or bottom up) of this interaction. To address the issue, the present study conducted transcranial magnetic stimulation (TMS) electroencephalography (EEG) experiment during WM tasks. Results showed that TMS induced increases in theta phase synchronization were observed only when TMS was delivered to the sensory areas but not the frontal area. These findings suggest that network directionality represented in WM is bottom up rather than top down.
Minimizing Effect of Input Filter Capacitor in a Digital Boundary Conduction Mode Power Factor Corrector Based on Time Domain Analysis
Venue: IEEE Transactions on Power Electronics

Conventional phase leading input current (PLIC) compensation techniques have focused on a continuous conduction mode (CCM) boost power factor corrector (PFC) In precedent studies, the causes of the PLIC have been investigated by analyzing the current control loop and the input impedance of a boost PFC. However, in a boundary conduction mode (BCM) boost PFC, the current flowing through the input filter capacitor becomes a main cause due to its large ripple current. Despite that, there has not been any effort to compensate the current in the input filter capacitor (IFC) in a BCM boost PFC. In this paper, a new digital control method is proposed to compensate PLIC in a BCM boost PFC, by minimizing the effect of the IFC. The proposed method uses only the derivative of the input voltage, without any additional component. Also, the proposed method improves the displacement factor, but does not affect the distortion factor, resulting in a high power quality in the entire input and output conditions. The derivation of the proposed method is presented based on time domain analysis, and the effectiveness of the proposed method is experimentally verified with a 60 Hz, 90 230 Vrms input and 395 V/0.5 A output prototype.
Reactive power compensation and power factor improvement using fast active switching technique
Venue: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)

Power factor improvement for nonlinear loads is the point of interest for researchers in recent scenario. Power factor plays a major role in efficiency of electrical system. The Purpose of this paper is to show the effectiveness of Magnetic Energy Recovery Switch (MERS) for power factor improvement by using proper control strategy. The MERS is characterized by simple configuration of four active switching devices with one DC capacitor, per phase. The three modes of operation are discussed. Simulation on MATLAB/ Simulink environment is conducted with resistive inductive load and results are compared with and without MERS to show the effectiveness of proposed switch for power factor improvement.
Non native English speakers' speech correction, based on domain focused document
Venue: iiWAS

With the increase in exchange programs, many international students worldwide can face communication problems. During lectures, usually English language is used for the communication between students and teachers. However both sides, not necessarily being native speakers of English, may misunderstand each other. In this paper we propose a method for correction of non native English speakers' speech, based on the domain focused electronic document. The method relies on the results of speech recognition (SR) software, and uses them altogether with the document. Our approach consists of three steps. Firstly, document analysis in the preprocessing phase. Secondly, finding the document part corresponding to sentence from SR software, realised using the Hidden Markov Model (HMM) based method. Finally, the correction by calculating the score for each of candidate sentences, based on the result of SR software. The probability score combines keywords comparison, BM25F method and HMM based method scores. Highest score candidate is chosen as replacement.
Percolation analysis for cosmic web with discrete points

Percolation analysis has long been used to quantify the connectivity of the cosmic web. Most of the previous work is based on density fields on grids. By smoothing into fields, we lose information about galaxy properties like shape or luminosity. Lack of mathematical model also limits our understanding of percolation analysis. In order to overcome these difficulties, we have studied percolation analysis based on discrete points. Using a Friends of Friends (FoF) algorithm, we generate the S bb relation, between the fractional mass of the largest connected group (S) and the FoF linking length (bb) We propose a new model, the Probability Cloud Cluster Expansion Theory (PCCET) to relate the S bb relation with correlation functions. We show that the S bb relation reflects a combination of all orders of correlation functions. Using N body simulation, we find that the S bb relation is robust against redshift distortion and incompleteness in observation. From the Bolshoi simulation, with Halo Abundance Matching (HAM) we have generated a mock galaxy catalogue. Good matching of the projected two point correlation function with observation is confirmed. However, comparing the mock catalogue with the latest galaxy catalogue from SDSS DR12, we have found significant differences in their S bb relations. This indicates that the mock galaxy catalogue cannot accurately retain higher order correlation functions than the two point correlation function, which reveals the limit of HAM method. As a new measurement, S bb relation is applicable to a wide range of data types, fast to compute, robust against redshift distortion and incompleteness, and it contains information of all orders of correlation function.
Bayesian optimization for parameter tuning in evolutionary algorithms
Venue: 2016 IEEE Congress on Evolutionary Computation (CEC)

Advances in evolutionary computation have demonstrated that Evolutionary Algorithms (EAs) proposed in this area are a solid alternative for solving combinatorial and continuous optimization problems. Despite their success in innumerable real world scenarios, EAs depend on a set of input parameters that characterize their performance and need to be adjusted. In fact, identifying and setting the most appropriate parameters for an EA is a complex task, which, in some cases, can be as difficult as the optimization problem at hand. Recently, parameter tuning has attracted the interest of the research community, designing and proposing techniques that (1) help the algorithm to perform to its best, and (2) indirectly, make fairer comparisons of different methods. In this manuscript, we propose a novel offline parameter tuning algorithm based on Bayesian Optimization, a sequential design strategy for global optimization. In order to illustrate the validity of the proposed method, we considered as a case of study the Hybrid Kernel EDA, an EA that is characterized by 6 parameters. We ran the algorithm with the parameters tuned by means of Bayesian Optimization, and compared the results with those obtained by setting the parameters by hand (using some prior knowledge) Experiments were carried out on a benchmark of 60 instances of the permutation flowshop scheduling problem. Experimental results show that, in general, Hybrid Kernel EDA obtains better results when using the parameters tuned by means of Bayesian Optimization.
Morphological differences between habitats are associated with physiological and behavioural trade offs in stickleback (Gasterosteus aculeatus)
Venue: Royal Society Open Science

Local specialization can be advantageous for individuals and may increase the resilience of the species to environmental change. However, there may be trade offs between morphological responses and physiological performance and behaviour. Our aim was to test whether habitat specific morphology of stickleback (Gasterosteus aculeatus) interacts with physiological performance and behaviour at different salinities. We rejected the hypothesis that deeper body shape of fish from habitats with high predation pressure led to decreases in locomotor performance. However, there was a trade off between deeper body shape and muscle quality. Muscle of deeper bodied fish produced less force than that of shallow bodied saltmarsh fish. Nonetheless, saltmarsh fish had lower swimming performance, presumably because of lower muscle mass overall coupled with smaller caudal peduncles and larger heads. Saltmarsh fish performed better in saline water (20 ppt) relative to freshwater and relative to fish from freshwater habitats. However, exposure to salinity affected shoaling behaviour of fish from all habitats and shoals moved faster and closer together compared with freshwater. We show that habitat modification can alter phenotypes of native species, but local morphological specialization is associated with trade offs that may reduce its benefits.
Knights in shining armour are not necessarily bold: defensive morphology correlates negatively with boldness, but positively with activity, in wild threespine stickleback, Gasterosteus aculeatus

The threespine stickleback (Gasterosteus aculeatus) varies in armour phenotype from fully armoured to non armoured morphs.  Investigate the connection between individual variation in behaviour and armour morphology within and across populations. Study organism and site: During the Spring of 2015, we assayed the behaviour of 250 sticklebacks from seven populations on the Scottish island of North Uist, located in the Outer Hebrides.  The 'phenotypic compensation' hypothesis holds that individuals with poorer defences should behave more timidly. Yet the energetic costs associated with bearing armour should reduce both the activity and exploration behaviour of more heavily armoured individuals.  We assayed individual stickleback for boldness, exploration, and activity. We then stained the fish with Alizarin red, which allowed the characterization of the armour phenotype of each fish.  Across populations, bold fish were less armoured than their shy counterparts and active fish were more armoured. Exploratory behaviour was not correlated with armour
Different behaviour body length correlations in two populations of juvenile three spined stickleback (Gasterosteus aculeatus)
Venue: Behavioural Processes

Behavioural variation among individuals has received a lot of attention by behavioural ecologists in the past few years. Its causes and consequences are becoming vast areas of research. The origin and maintenance of individual variation in behaviour within and among populations is affected by many facets of the biotic and abiotic environment. Here, two populations of lab reared juvenile three spined sticklebacks (Gasterosteus aculeatus) are tested for three behaviours (boldness, exploration, and sociability) Given the identical rearing conditions, the only difference between these populations is the parental habitat. In both populations, correlations between behaviour and body length are found. Interestingly, these differ between the populations. In one population body length was negatively correlated with exploratory behaviour, while in the other one body length correlated negatively with sociability. Considering the identical environment these juvenile fish were exposed to, these findings suggest a potential (epi)genetic foundation for these correlations and shows that, in three spined sticklebacks, the proximate basis for correlations between body length and behaviour appears quite malleable.
EVEN ORPHEUS NEEDS A SYNTHI
Venue: Tempo

In recent years there has been an increase in the quantity, if not necessarily the quality, of scholarly and popular writing on the histories of electronic music in Britain. In this literature, the contributions of Peter Zinovieff (b. 1933) and his computer equipped electronic music studio to those histories have been variously exaggerated, underestimated and misreported. This article attempts to correct this misinformation, investigating Zinovieff's solo work and his collaborations with Harrison Birtwistle, Hans Werner Henze and others, through a critical discussion of two recent contributions to the discourse surrounding the compositions realised at Zinovieff's EMS studio in the 1960s and 70s.
Robert L. Schalock y Miguel Angel Verdugo (2013) El cambio en las organizaciones de discapacidad. Estrategias para superar sus retos y hacerlo realidad. Guia de liderazgo. Madrid: Alianza Editorial

Resena de la obra El cambio en las organizaciones de discapacidad. Estrategias para superar sus retos y hacerlo realidad. Guia de liderazgo (2013) de Robert L. Schalock y Miguel Angel Verdugo
El cambio en las organizaciones de discapacidad. Estrategias para superar sus retos y hacerlo realidad. Guia de liderazgo

Hablar de cambios en la atencion a las personas con discapacidad intelectual o del desarrollo es hablar de dos figuras clave en este sector: el espanol Miguel Angel Verdugo (director del Instituto Universitario de Integracion en la Comunidad INICO y catedratico en la Universidad de Salamanca) y el norteamericano Robert L. Schalock (quien ha sido director de la Asociacion Americana para el Retraso Mental AAMR y catedratico en la Universidad de Nebraska) Ambos investigadores han producido en las ultimas decadas amplios conocimientos relacionados con el sector de la discapacidad aceptados por gran parte de la comunidad cientifica internacional.
Performance Improvement of Inventory Management System Processes by an Automated Warehouse Management System

This study investigates the impact of a warehouse management system on supply chain performance that provides less resources effort, more efficient, and reliable inventory management system. The supply chain procedures carried out in the warehouse were reviewed before customizing a software that can handle the necessary transactions. The software was tested for enhancing the work flow and providing a timely and efficient handling. Data was collected from the warehouse of a leading telecommunications service provider in Jordan. Furthermore, the facility layout was studied and we introduced a production station within the warehouse, which resulted in better space optimization/utilization of the warehouse. The production station consists of three steps: bundling, labelling, and repackaging. The system handles three phases of product lifecycle: receiving, processing, and distribution of SIM and prepaid scratch cards. Each phase of the product lifecycle was discussed in detail and the process/procedure gaps were identified. This work can serve both as a practical guide and industrial example for some researchers to compare the software inventory management system with the traditional manual system in the telecommunications sector in Jordan. It also highlights the gap between theory and practice; to motivate researchers to develop and customize new systems for mitigating supply chain disruptions.
Multi biometric Fake Detection System using Image Quality based Liveness Detection

Biometric systems mostly popular in all over the world because of its user friendly and credible nature in security. In spite of this advantages, many attacks that done through synthetic self manufactured, fake, reconstructed samples affected on the performance and accuracy of biometric system which becomes major problem in biometrics. Hence, new effective measures have to be taken to protect the biometric systems. In this paper, we propose novel software based multi biometric fake detection system to detect various types of attacks. The main moto of this system is to enhance security level of biometric recognition systems through Image Quality Assessment (IQA) which is one of the liveness detection method.25 image quality measures calculated from test image which used to classify between real and fake trait using Linear Discriminative Analysis(LDA) classifier. The experimental results is done on the database of 2D face and fingerprint modalities, shows the proposed system is ease in implementation in real time application as complexities is very less because of one input image. Also this system is fast, user friendly, non intrusive which is more competitive with any other state of the art approaches, classifies between real and fake traits.
Rfid Handbook Fundamentals And Applications In Contactless Smart Cards And Identification

Thank you for reading rfid handbook fundamentals and applications in contactless smart cards and identification. As you may know, people have search numerous times for their chosen novels like this rfid handbook fundamentals and applications in contactless smart cards and identification, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some malicious bugs inside their laptop.
Real Time Locating Systems Using Active RFID for Internet of Things
Venue: IEEE Systems Journal

The proliferation of the Internet of Things (IoT) has fostered growing attention to real time locating systems (RTLSs) using radio frequency identification (RFID) for asset management, which can automatically identify and track physical objects within indoor or confined environments. Various RFID indoor locating systems have been proposed. However, most of them are inappropriate for large scale IoT applications owing to severe radio multipath, diffraction, and reflection. In this paper, we propose a newly fashioned RTLS using active RFID for the IoT, i.e. iLocate, which locates objects at high levels of accuracy up to 30 cm with ultralong distance transmission. To achieve fine grained localization accuracy, iLocate presents the concept of virtual reference tags. To overcome signal multipath, iLocate employs a frequency hopping technique to schedule RFID communication. To support large scale RFID networks, iLocate leverages the ZigBee. We implement all hardware using 2.45 GHz RFID chips so that each active tag can communicate with readers that are around 1000 m away in a free space. Our empirical study and real project deployment show the superiority of the proposed system with respect to the localization accuracy and the data transmission rate for large scale active RFID networks.