nils-herrmann/clean_scirepeval huggingface dataset:
Locality sensitive discriminant analysis for speaker verification
Venue: 2016 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

In this paper, we apply Locality Sensitive Discriminant Analysis (LSDA) to speaker verification system for intersession variability compensation. As opposed to LDA which fails to discover the local geometrical structure of the data manifold, LSDA finds a projection which maximizes the margin between i vectors from different speakers at each local area. Since the number of samples varies in a wide range in each class, we improve LSDA by using adaptive k nearest neighbors in each class and modifying the corresponding within and between class weight matrix. In that way, each class has equal importance in LSDA's objective function. Experiments were carried out on the NIST 2010 speaker recognition evaluation (SRE) extended condition 5 female task, results show that our proposed adaptive k nearest neighbors based LSDA method significantly improves the conventional i vector/PLDA baseline by 18% relative cost reduction and 28% relative equal error rate reduction.
Progressive Stepping Based Non Dominated Sorting Genetic Algorithm for Multi Objective Optimization
Venue: Int. J. Appl. Evol. Comput.

This paper demonstrates two approaches to achieve faster convergence and a better spread of Pareto solutions in fewer numbers of generations, compared to a few existing algorithms, including NSGA II and SPEA2 to solve multi objective optimization problems MOP's. Two algorithms are proposed based on progressive stepping mechanism, which is obtained by the hybridization of existing Non dominated Sorting Genetic Algorithm II NSGA II with novel guided search schemes, and modified chromosome selection and replacement mechanisms. Progressive Stepping Non dominated Sorting based on Local search PSNS L controls the step size, and Progressive Stepping Non dominated Sorting based on Utopia point PSNS U method controls the number of divisions to generate better chromosomes in each generation to achieve faster convergence. Four multi objective evolutionary algorithms EA's are compared for different benchmark functions and PSNS outperforms them in most cases based on various performance metric values. Finally a mechanical design problem has been solved with PSNS algorithms.
Analyzing Multiple Medical Corpora Using Word Embedding
Venue: 2016 IEEE International Conference on Healthcare Informatics (ICHI)

Neural language models, such as word embedding, can effectively embed words into vector spaces and preserve linguistic regularities and semantic relationships. However, few researchers have shown their effectiveness on medical terms and relationships. In this paper, we study the applicability of word2vec, a well known technique for word embedding, to embed medical terms and relations based on different medical text corpora, including biomedical abstracts of scientific papers, health related discussion forums, and a commonly available general purpose information resource. We empirically evaluate the applicability of this approach by studying how the word embedding projects certain classes of medical terms and relations to the word space and analyzing the differences between the three corpora for embedding medical terms and relations. Results show that the corpus of health related discussion forum posts, authored by lay persons and medical novices, trains a comparable word embedding for popular medical terms, when compared against a professionally authored corpus of published biomedical abstracts.
Lost in protest, found in segregation: Divided cities in the light of the 2015 "Okhi" referendum in Greece

The referendum held in Greece on the 5th of July 2015 about the rejection of the conditions for a new loan sought by European Commission, European Central Bank and International Monetary Fund, become an event of great symbolic importance to national and even continental scale, although its precise scope and meaning were to a large extent loose. Participation to vote was rather high (62.5% of the electorate) and the electorate spoke widely in favour of the 'no' (61.3% The concentration of 'no' and 'yes' votes followed a polarized distribution in the urban area of Athens. The present study analyzes the geographical distribution of 'no' votes at the municipal scale in the metropolitan region of Athens testing for the influence of the local socioeconomic context considering 67 indicators explored through the use of multivariate statistics. The polarization of the referendum vote reflects territorial disparities observed at both urban scale (distinguishing urban districts east, north and south of Athens from those situated west of Athens) and metropolitan scale (based on the urban rural gradient) The percentage of 'no' votes at the municipal scale was correlated negatively with average per capita declared income. Concentration of farmers and tourism activities, population growth rate and the enforcement of a municipal master plan were additional predictors of the spatial variability of 'no' votes. Going beyond the traditional division between 'left' and 'right' urban neighbourhoods, the spatial distribution of 'no' votes in Athens reflects socioeconomic disparities consolidated during recession.
Loosely Coupled Transformer Coil Design to Minimize EMF Radiation in Concerned Areas
Venue: IEEE Transactions on Vehicular Technology

Wireless power transfer (WPT) technology as a convenient and reliable charging method, its electromagnetic field (EMF) radiation, and its compliance with human electromagnetic exposure limits have recently been studied. Different from the current research, which validates the EMF radiation level of a predesigned WPT system, this paper presents the loosely coupled transformer design method to minimize the EMF in the concerned area. The energy storage in the primary and secondary coils is studied for all popular compensation topologies in recently reported research. The coil of the loosely coupled transformer is designed with the S S compensation topology as an example. The EMF radiation level is optimized to below the International Commission on Non Ionizing Radiation Protection guideline in the concerned area. A 3.3 kW WPT system for electric vehicle wireless charging with an LCC LCC compensation topology is designed with detailed process and experiment results, verifying that the EMF radiation is controlled as designed. The numerical analysis of human exposure is performed with the finite element method, and the results show compliance as expected.
Modelling, design and analysis of three limb high frequency transformer including transformer parasitics, for SiC Mosfet based three port DAB
Venue: IECON 2016 42nd Annual Conference of the IEEE Industrial Electronics Society

The work presented in this paper focuses on the transformer modelling, design and parasitic capacitances' effect on transformer operation for three limb high frequency transformers designed for three port Dual Active Bridge(DAB) converter, using 1200V and 1700V SiC devices. The effects of parasitic capacitance due to high speed and high frequency switching enabled by SiC Mosfet devices are investigated in this paper for three limb transformer of DAB converter. The focus of the paper is based on design, estimation and measurement of parasitic capacitance and leakage inductance for three limb high frequency transformer. Detailed transformer model analysis has been realized for three port DAB operation with parasitics included. Two different transformer design approaches for 10kW, 50kHz rating have been carried out and comparative results have been analyzed in this paper.
Design Methodology and Optimization of a Medium Frequency Transformer for High Power DC DC Applications

The medium frequency power transformer (MFPT) is one of the key elements of an isolated bi directional dc dc converters in applications such as future all dc offshore wind farms, traction, and solid state transformers. This paper describes a design methodology taking into account loss calculation, isolation requirements, and thermal management. Incorporating this design methodology, an optimization process with a wide range of parameter variations is applied on a design example to find the highest power density while the efficiency, isolation, thermal, and leakage inductance requirements are all met.
Game theory and port economics: a survey of recent research.

The last decade has seen a significant upsurge of studies seeking to examine the impacts of port agents' strategic decisions. The outcome has been a wide range of results and conclusions. The aim of this work is to provide a review of this recent research in the port industry that uses strategic interaction approaches from industrial organization and game theory. The paper concentrates on five topics: ownership, relationship between ports and their hinterlands, port authorities and port operators' relations, capacity investment decisions and port specialization. We present the objectives, methodologies and results of the papers reviewed, with special emphasis on how models are developed. The results are not always consistent between the works analyzed. On the one hand, this could be due to the complexity of the port industry and the high number of agents that intervene. Researchers need to simplify reality to build their models by imposing restrictive assumptions. On the other hand, results could be very sensitive to the techniques used or to the differences on the port environment of the countries of study. However, some conclusions can be extracted and they present a good starting point to develop more sophisticated models. Finally, we also propose avenues for future research.
SELECTING BUSINESS PERFORMANCE INDICATORS: A FIRST STEP TO LINK HRM IMPACT ON BUSINESS PERFORMANCE (A Special case of Recruitment and Selection)

Measuring impact on business performance is a tedious task. Specially to decide what type of indicators to be used to predict the impact of Human Resource Management (HRM) Especially Recruitment and Selection as an independent variable on Business Performance. The paper presents Deposits, Advances, ROE, ROA, Net NPA Ratio, BPE as selected financial performance indicators among several, with a supporting evidence.
What is kangaroo mother care? Systematic review of the literature
Venue: Journal of global health

Kangaroo mother care (KMC) often defined as skin to skin contact between a mother and her newborn, frequent or exclusive breastfeeding, and early discharge from the hospital has been effective in reducing the risk of mortality among preterm and low birth weight infants. Research studies and program implementation of KMC have used various definitions.  To describe the current definitions of KMC in various settings, analyze the presence or absence of KMC components in each definition, and present a core definition of KMC based on common components that are present in KMC literature.  We conducted a systematic review and searched PubMed, Embase, Scopus, Web of Science, and the World Health Organization Regional Databases for studies with key words "kangaroo mother care" "kangaroo care" or "skin to skin care" from 1 January 1960 to 24 April 2014. Two independent reviewers screened articles and abstracted data.  We screened 1035 articles and reports; 299 contained data on KMC and neonatal outcomes or qualitative information on KMC implementation. Eighty eight of the studies (29% did not define KMC. Two hundred and eleven studies (71% included skin to skin contact (SSC) in their KMC definition, 49 (16% included exclusive or nearly exclusive breastfeeding, 22 (7% included early discharge criteria, and 36 (12% included follow up after discharge. One hundred and sixty seven studies (56% described the duration of SSC.  There exists significant heterogeneity in the definition of KMC. A large number of studies did not report definitions of KMC. Skin to skin contact is the core component of KMC, whereas components such as breastfeeding, early discharge, and follow up care are context specific. To implement KMC effectively development of a global standardized definition of KMC is needed.
Students' learning styles and their effects on the use of social media technology for learning
Venue: Telematics Informatics

The participatory, collaborative, and independent learning styles were investigated.The social media acceptance model was proposed.The factors Self and Performance were found to influence students' intention of using social media.The factor Self had the greatest influence on all learning styles.Students with participatory style focused more on Self than those of the collaborative style did. Students with different learning styles approach learning differently. With the rise of social media technologies, investigating the effect of these styles on their intentions to use social media for learning has become all the more important. This study explored the factors affecting students' intentions to use social media for learning based on their learning styles (i.e. participatory, collaborative, and independent) using the social media acceptance model. By convenience sampling, 300 Malaysian students were recruited via an online survey (Nparticipatory=116; Nindependent=97; and Ncollaborative=87) The survey was prepared by drawing on the social media acceptance model. It was piloted before the final data collection step was conducted in August 2013. The demographic details of the students were analyzed using Statistical Program for Social Sciences 21, while path modeling and multivariate analyses were conducted using SmartPLS 2.0. The results revealed the significant effect of Self and Performance on students' intentions to use social media regardless of their learning styles. A pair wise comparison revealed that Self was more significant in participatory students than in collaborative students. Effort was found to be the least significant factor, indicating the popularity of social media among students. Further insight into the different factors that drive students with different learning styles to use social media will help educators use this technology to assist learning more effectively.
A phase field formulation for fracture in ductile materials: Finite deformation balance law derivation, plastic degradation, and stress triaxiality effects

Phase field models have been a topic of much research in recent years. Results have shown that these models are able to produce complex crack patterns in both two and three dimensions. A number of extensions from brittle to ductile materials have been proposed and results are promising. To date, however, these extensions have not accurately represented strains after crack initiation or included important aspects of ductile fracture such as stress triaxiality. This work introduces a number of contributions to further develop phase field models for fracture in ductile materials. These contributions include: a cubic degradation function that provides a stress strain response prior to crack initiation that more closely approximates linear elastic behavior, a derivation of the governing equations in terms of a general energy potential from balance laws that describe the kinematics of both the body and phase field, introduction of a yield surface degradation function that provides a mechanism for plastic softening and corrects the non physical elastic deformations after crack initiation, a proposed mechanism for including a measure of stress triaxiality as a driving force for crack initiation and propagation, and a correction to an error in the configuration update of an elastoplastic return mapping algorithm for J 2 flow theory. We also present a heuristic time stepping scheme that facilitates computations that require a relatively long load time prior to crack initiation. A number of numerical results will be presented that demonstrate the effects of these contributions.
OSMAN A Novel Arabic Readability Metric
Venue: LREC

We present OSMAN (Open Source Metric for Measuring Arabic Narratives) a novel open source Arabic readability metric and tool. It allows researchers to calculate readability for Arabic text with and without diacritics. OSMAN is a modified version of the conventional readability formulas such as Flesch and Fog. In our work we introduce a novel approach towards counting short, long and stress syllables in Arabic which is essential for judging readability of Arabic narratives. We also introduce an additional factor called "Faseeh" which considers aspects of script usually dropped in informal Arabic writing. To evaluate our methods we used Spearman's correlation metric to compare text readability for 73,000 parallel sentences from English and Arabic UN documents. The Arabic sentences were written with the absence of diacritics and in order to count the number of syllables we added the diacritics in using an open source tool called Mishkal. The results show that OSMAN readability formula correlates well with the English ones making it a useful tool for researchers and educators working with Arabic text.
71 95 GHz (23 40% PAE) and 96 120 GHz (19 22% PAE) high efficiency 100 130 mW power amplifiers in InP HBT
Venue: 2016 IEEE MTT S International Microwave Symposium (IMS)

Two solid state power amplifiers with record high power added efficiency (PAE) and 100 130 mW output power in 250 nm InP HBT are reported. The 71 95 GHz PA demonstrates 20.7 dB S21 and 25 GHz 3 dB bandwidth at 432.5 mW PDC. Pout is 105 138 mW (21 36% PAE) and RF power density is 1.64 2.15 W/mm. At 81 GHz, 135.6 mW Pout is achieved with 36.0% PAE and 14.1 dB gain. At 81 GHz with reduced input stage bias, 129.6 mW Pout is achieved with 40.0% PAE and 13.0 dB gain. The 96 120 GHz PA demonstrates 17.8 dB S21 and 26 GHz 3 dB bandwidth at 442.4 mW PDC. Pout is 84.9 107 mW and RF power density is 1.33 1.64 W/mm. At 102.5 GHz, 98.1 mW Pout is achieved with 21.2% PAE and 12.1 dB gain. The results were obtained class A DC biasing the PA's. The amplifiers utilizes a novel, compact, and stackable power cell topology for multi finger HBTs operating at mm wave and THz frequencies, where 8 way PA cell combining can be realized for future 0.6 0.8 W Pout designs these designs are currently under development. This work represents record PAE for 100 mW PA's at these frequencies. 40% PAE at E band (81 GHz) is demonstrated for the first time under class A bias, as well as PAE greater than 23% across the 71 76, 81 86, and 92 95 GHz bands. The 18.9 22.5% PAE at 100 mW power for the 96 120 GHz PA is a 1.5 3x improvement to state of the art PAE at these frequencies.
Interferometer method using abel inversion to deduce a mapping of helium gas density and temperature

In this work is presented an optical method using the Mach Zehnder Interferometer for diagnose a pure helium gas subjected to a stationary point plane corona dischargeat atmospheric pressure, and visualize the spatial map of refraction index, density and temperature.The Mach Zehnder interferometer that we have applied here is assumed to be cylindrically symmetric and the distance between electrodes equals 6 mm.By studying the interferograms obtained in the experiment, it is possible to determine the distribution of the refraction index and extract the density and temperature through the Gladstone Dale relation and the ideal gas law respectively. The obtained results are in close agreement with values available in the literature.The obtained results show that the rate variation of the density is varying from 20 to 40% in all the space.
Structured prediction models for RNN based sequence labeling in clinical text
Venue: EMNLP

Sequence labeling is a widely used method for named entity recognition and information extraction from unstructured natural language data. In clinical domain one major application of sequence labeling involves extraction of medical entities such as medication, indication, and side effects from Electronic Health Record narratives. Sequence labeling in this domain, presents its own set of challenges and objectives. In this work we experimented with various CRF based structured learning models with Recurrent Neural Networks. We extend the previously studied LSTM CRF models with explicit modeling of pairwise potentials. We also propose an approximate version of skip chain CRF inference with RNN potentials. We use these methodologies for structured prediction in order to improve the exact phrase detection of various medical entities.
College Student Technology Use and Academic Performance

As technology use continues to rise, especially among young individuals, there are concerns that excessive use of technology may impact academic performance. Researchers have started to investigate the possible negative effects of technology use on college academic performance, but results have been mixed. The following study seeks to expand upon previous studies by exploring the relationship among the use of a wide variety of technology forms and an objective measure of academic performance (GPA) using a 7 day time diary data collection method. The current study also seeks to examine both underclassmen and upperclassmen to see if these groups differ in how they use technology. Upperclassmen spent significantly more time using technology for academic and workrelated purposes, whereas underclassmen spent significantly more time using cell phones, online chatting, and social networking sites. Significant negative correlations with GPA emerged for television, online gaming, adult site, and total technology use categories.  Technology use, academic performance, post secondary education.
Modification of Asphalt using Castor Oil Based Polyurethane

Asphalt is the most used binder for road paving due to its adhesive and water proofing properties. Since bitumen (asphalt) has low softening point and thermal stability, making it prove to permanent deformation and fatigue. In order to maximize it resistance to permanent deformation and to reduce the fatigue, bitumen used to be modified with various additive. Normally additive used for the modification are styrene butadiene styrene (SBS) co polymer, reactive ethylene terpolymer, ethylene vinyl acetate rubber etc. by using polyurethane (PU) can have added advantage of easy handling and more durability etc. Pre added polyol to bitumen make it more flowable and liquid to make it ease of handling. In the present work, different reaction parameters such as the effect of reaction time, effect of catalyst and effect of OH to NCO ration was optimized. PU modified asphalt shows hardness value i.e. 21 32mm and softening point i.e. 53C 63C. Unmodified asphalt have the 89mm hardness value and 430C softening temperature.