Miracle-dz/UniFAR-FTUs huggingface dataset:
ON THE DEVELOPMENT OF THE POINT IS AND RELATED ISSUES IN THE HISTORY OF AMERICAN ENGLISH

31: © by the English Linguistic Society of * This study is part of my Grant-in-Aid for Young Scientists (B) research project (No. 22720194) supported by Japan Society for the Promotion of Science and part of Grant-in- Aid for Scientific Research (C) (No. 25370569) supported by The Ministry of Education, Culture, Sports and Technology, Japan. The earlier versions of the paper were presented at The Seventeenth International Conference of English Historical Linguistics (ICEHL-17) , Zürich, Switzerland, Aug. 20 – 25, 2012, and at The Foreign Language and Literature Society of Okinawa 28 , July 6, 2013. Thanks go to Anne Curzan, Teresa Fanego, Izumi Nishi and two anonymous EL reviewers for their invaluable comments and constructive criticism and to Karin Aijmer, Joan C. Beal and Wolfgang Imo for their providing rel evant information to me. Any remaining faults are all my own. This study pays attention to the fairly recent development of the construc tion the point is especially from Late Modern through Present-Day periods in the history of American English. The main clause type (i.e. the point is that …) and the DM type (i.e. the point is , …) have been in rivalry since the mid-nineteenth century when they emerged, though the latter became dominant in the 2000s. The whole grammaticalization process of the point is rendered a variety of meso- and micro-constructions, however, not all of which have equally been entrenched: the determiner-modified the point is construction is no doubt a highly frequent construction, while the develop ment of the first person singular possessive construction, i.e., my point is , can be considered a reflection of syntactic subjectivity. *
The problem of confounding variation in mutual fund risks and risk premia

The use of predetermined variables to represent public information and time-variation has produced new insights about asset pricing models, but the literature on mutual fund performance has not exploited these insights. This paper advocates conditional performance evaluation in which the relevant expectations are conditioned on public information variables. We modify several classical performance measures to this end and find that the predetermined variables are both statistically and economically significant. Conditioning on public information controls for biases in traditional market timing models and makes the average performance of the mutual funds in our sample look better. THE PROBLEM OF ACCURATELY measuring the performance of managed portfolios remains largely unsolved after more than 30 years of work by academics and practitioners. Standard measures of performance, designed to detect security selection or market timing ability, are known to suffer from a number of biases. Traditional measures use unconditional expected returns as the baseline. For example, an "alpha" may be calculated as the past average return of a fund in excess of a risk-free rate, minus a fixed beta times the average excess return of a benchmark portfolio. However, if expected returns and risks vary over time, such an unconditional approach is likely to be unreliable. Common time variation in risks and risk premiums will be confused with average performance. * Ferson is from the University of Washington School of Business Administration, Department of Finance and Business Economics DJ-10, Seattle, Washington 98195, and Schadt is from the Edwin L. Cox School of Business, Southern Methodist University, Dallas, Texas 75275-0333. We thank numerous colleagues for comments and helpful discussions, including Connie Becker, David P. Brown, Stephen Brown, Jon Christopherson, John Cochrane, William Goetzmann, Mark Grinblatt, Campbell Harvey, Ravi Jagannathan, Debbie Lucas, Jianping Mei, Ed Rice, the editor Rene Stulz, Bill Sharpe, Andy Siegel, Karl Snow, and an anonymous referee. Vincent Warther deserves special recognition for providing some of the empirical analysis described herein, and David Modest and Peter Knez deserve thanks for supplying some of the data. This paper was presented in workshops at the Universities of Alberta, Arizona State, British Columbia, California at Los Angeles, Chicago, Notre Dame, Oklahoma, Washington, and at J. P. Morgan Investment Management, and at the following conferences: the 1993 European Finance Association, the 1994 National Bureau of Economic Research Summer Institute, the third annual Osaka Conference on Finance, the 1994 Southwestern Finance Association and the 1994 Western Finance Association. Ferson acknowledges financial support from the Pigott-Paccar professorship at the University of Washington.
Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics

This paper tackles the problem of automatically labelling sentiment-bearing topics with descriptive sentence labels. We propose two approaches to the problem, one extractive and the other abstractive. Both approaches rely on a novel mechanism to automatically learn the relevance of each sentence in a corpus to sentiment-bearing topics extracted from that corpus. The extractive approach uses a sentence ranking algorithm for label selection which for the first time jointly optimises topic–sentence relevance as well as aspect–sentiment co-coverage. The abstractive approach instead addresses aspect–sentiment co-coverage by using sentence fusion to generate a sentential label that includes relevant content from multiple sentences. To our knowledge, we are the first to study the problem of labelling sentiment-bearing topics. Our experimental results on three real-world datasets show that both the extractive and abstractive approaches outperform four strong baselines in terms of facilitating topic understanding and interpretation. In addition, when comparing extractive and abstractive labels, abstractive labels are able to provide more topic information coverage given the same label length constraint. Despite having 16% average on grammatical scores below fully extracted human-written sentences, the abstractive fusion generates topic labels can synthesise rich information needed for sentiment-bearing topic interpretations.
A Report on implementation of operational Global and Indian Ocean HYCOM at INCOIS

A state of the art operational forecasting system with data assimilation (DA) is established at INCOIS, which is the first of it's kind in the country. The Indian Ocean model is the highest resolution operational system with DA available for the basin compared to any operational agency in the world. The core of the system is a 1/16th eddy resolving Indian ocean Hybrid Coordinate Model (HYCOM), nested to a 1/4th Global HYCOM which provides lateral boundary conditions to the high-resolution model. The system uses data assimilation scheme based on Tentral Statistical Interpolation (T-SIS) scheme. A five-year hindcast for the period 2012 to 2016 has been carried out using both setups. This report presents a detailed evaluation of both global and Indian ocean models in comparison with observations and two other established systems, NRL HYCOM and GODAS from INCOIS. The five-year hindcast results show that both Indian Ocean and global model simulated SST, SSS, SLA, currents and vertical structure of the ocean favourably when compared with observations and other models. Bias, RMSD, correlation and skill score compared to observations from each of the four models for selected parameters are evaluated as part of this exercise. Sea-level and currents, show a notable better performance for the new setups at INCOIS over NRL-HYCOM and INCOIS-GODAS
Internet-based epistemic beliefs, engagement in online activities, and intention for constructivist ICT integration among pre-service teachers

This study investigated pre-service teachers’ epistemic beliefs about the Internet using the Inventory of Internet-Based Epistemic Beliefs (IBEB). Also examined were their belief profiles to delineate the effect of IBEB on pre-service teachers’ engagement in online reading activities and intention for ICT integration for constructivist learning activities. Participants were 474 teacher education students in Taiwan. Results revealed the four hypothesised constructs – structure, uncertainty, source, and justification for Internet knowledge – with good validity and reliability. Four epistemic belief groups were derived based on these constructs; and they exhibited differential effects on the validating variables. Cluster 1 was characterised by four positive epistemic beliefs (the positive beliefs), Cluster 2 by four negative epistemic beliefs (the negative beliefs), Cluster 3 by modest scores of the epistemic beliefs (the modest beliefs), and Cluster 4 by positive uncertainty and justification scores as well as negative structure and source scores (the high justification and uncertainty). Findings suggest that intervention targeting pre-service teachers in the negative beliefs and the modest beliefs may be necessary to foster positive epistemic beliefs for better constructivist learning in the online environment.
Transcribing Foucault's handwriting with Transkribus

The Foucault Fiches de Lecture (FFL) project aims both to explore and to make available online a large set of Michel Foucault’s reading notes (organized citations, references and comments) held at the BnF since 2013. Therefore, the team is digitizing, describing and enriching the reading notes that the philosopher gathered while preparing his books and lectures, thus providing a new corpus that will allow a new approach to his work. In order to release the manuscripts online, and to collectively produce the data, the team is also developing a collaborative platform, based on RDF technologies, and designed to link together archival content and bibliographic data. This project is financed by the ANR (2017-2020) and coordinated by Michel Senellart, professor of philosophy at the ENS Lyon. It benefits from the partnerships of the ENS/PSL and the BnF. In addition, a collaboration with the European READ/Transkribus project has been started so as to produce automatic transcription of the reading notes.
Classification of households into food security status in the North-Central Nigeria: an application of RASCH measurement model.

The main objective of the study was to classify households in the North-Central Nigeria (NCN) into food security status based on certain demographical characteristics with Rasch model. Data for the study were generated from a crosssectional survey of 396 household heads from the two selected states (Kogi and Kwara) in October 2006 to January 2007. The results of the analysis show that, only 23.7 percent households are food secure (FS) in the study area. Further analysis revealed that 15.5 percent and 37.4 percent adults and children respectively are food secure. While 18 percent households are FS in the urban areas, only 13.7percent are FS in the rural areas of the NCN. In addition, female-headed households are found as been FS (21.9 percent) compare to 14 percent male-headed. There appears to be an inverse relationship between household size and food security in the study area. Households with small sizes of ≤ 3 members are also more FS (25 percent) compared to 15.1percent by those with larger sizes of 8-11 members. However, contrary to the adults’ food security status in the NCN, the proportions of children who are FS in both rural and urban are nearly the same. In all the cases, there is a direct relationship between employment status of household heads and the household food security status. To transit from food insecure to food secure status, it is important to pursue policy on birth control and gender empowerments in the study area which was found to have the mean household size of 5.89 and standard deviation of 2.24.
Mood Dataset Creation Based on Last

Music emotion recognition today is based on techniques that require high quality and large emotionally labeled sets of songs to train algorithms. Manual and professional annotations of songs are costly and hardly accomplished. There is a high need for datasets that are public, highly polarized, large in size and following popular emotion representation models. In this paper we present the steps we followed to create two such datasets using intelligence of last.fm community tags. In the first dataset, songs are categorized based on an emotion space of four clusters we adopted from literature observations. The second dataset discriminates between positive and negative songs only. We also observed that last.fm mood tags are biased towards positive emotions. This imbalance of tags was reflected in cluster sizes of the resulting datasets we obtained; they contain more positive songs than negative ones.
UvA-DARE ( Digital Academic Repository ) Is sodium current present in human sinoatrial node cells ?

Pacemaker activity of the sinoatrial node has been studied extensively in various animal species, but is virtually unexplored in man. As such, it is unknown whether the fast sodium current (INa) plays a role in the pacemaker activity of the human sinoatrial node. Recently, we had the unique opportunity to perform patch-clamp experiments on single pacemaker cells isolated from a human sinoatrial node. In 2 out of the 3 cells measured, we observed large inward currents with characteristics of INa. Although we were unable to analyze the current in detail, our findings provide strong evidence that INa is present in human sinoatrial node pacemaker cells, and that this INa is functionally available at potentials negative to –60 mV.
Social Inquiry into Well-Being Personality and Anxiety Associations in Adolescents and Emerging Adults

This study was aimed at unraveling associations between Big Five personality traits and anxiety symptoms of panic, generalized anxiety disorder, school phobia, separation anxiety, and social phobia in male and female adolescents and emerging adults from the general population. Participants were 3,758 (54.6% females) adolescents and emerging adults aged between 11 and 26 years. They completed the shortened Big Five questionnaire and the Screen for Child Anxiety Related Emotional Disorders. Results indicated that the associations between Big Five and anxiety symptoms were consistent across gender and age groups. Most of the associations were statistically significant with the strongest links found between extraversion and symptoms of social phobia; conscientiousness and symptoms of school anxiety; and emotional stability and symptoms of panic, separation, generalized, and school anxiety. All these associations were negative, suggesting that higher levels of these personality traits were related to lower levels of anxiety symptoms.
This is a repository copy of Size , Cost , and Capacity : A Semantic Technique for Hard Random

As a natural extension of the SAT problem, different proof systems for quantified Boolean formulas (QBF) have been proposed. Many of these extend a propositional system to handle universal quantifiers. By formalising the construction of the QBF proof system P+∀red from a propositional proof system P (Beyersdorff, Bonacina & Chew, ITCS ‘16), we present a new technique for proving proof size lower bounds in these systems. This lower bound technique relies only on two semantic properties: the cost of a QBF, and the capacity of a proof. By examining the capacity of proofs in several proof systems, we are able to use this technique to obtain lower bounds in these systems based on cost alone. As applications of this technique, we first prove exponential lower bounds for a new family of simple QBFs representing equality. The main application is in proving exponential lower bounds with high probability for a class of randomly generated QBFs, the first ‘genuine’ lower bounds of this kind, which apply to the QBF analogues of resolution, Cutting Planes, and Polynomial Calculus.
1 Assessment of Usability and Acceptability in a User-Adapted System Addressing Depression and Suicide

In Human-Computer Interaction, the adaptation of the content and the way of how this content is communicated to the users in interactive sessions is a critical issue to promote the acceptability and usability of any computational system. So we present a user-adapted interactive platform addressing depression and suicide symptoms, in order to evaluate the user acceptance and the system usability. An empathic Virtual Agent is the main interface with the user and it has been designed to generate the appropriate dialogues and emotions during the interactions according to the detected user's specific needs. This personalization is based on a dynamic user model nurtured with clinical, demographical and behavioral information. The evaluation was performed with 60 university members. The obtained results were promising, allowing the execution of a further clinical trial. The system’s usability was 75.7%, and the user-adapted content and the emotional responses of the VA 70.9%.
Development of 3 D Tissue Reconstruction Method from Single-cell RNA-seq Data

In silico three-dimensional (3D) reconstruction of tissues/organs based on single-cell profiles is required to comprehensively understand how individual cells are organized in actual tissues/organs. Although several tissue reconstruction methods have been developed, they are still insufficient to map cells on the original tissues in terms of both scale and quality. In this study, we aim to develop a novel informatics approach which can reconstruct whole and various tissues/organs in silico. As the first step of this project, we conducted single-cell transcriptome analysis of 38 individual cells obtained from two mouse blastocysts (E3.5d) and tried to reconstruct blastocyst structures in 3D. In reconstruction step, each cell position is estimated by 3D principal component analysis and expression profiles of cell adhesion genes as well as other marker genes. In addition, we also proposed a reconstruction method without using marker gene information. The resulting reconstructed blastocyst structures implied an indirect relationship between the genes of Myh9 and Oct4.
One-dimensional Simulation of Transmural Heterogeneity of Cardiac Cellular

Cardiac tissue exhibits transmural heterogeneous electromechanical characteristics which are responsible for normal activation, repolarization, contraction and relaxation in healthy hearts. Under abnormal conditions such as myocardial ischemia (MI), the original heterogeneity will be disrupted and may cause the heart out of function. In this paper, a transmural heterogeneous cellular electromechanics model has been developed. We used the model to simulate and validate transmural heterogeneity of the electrical properties and mechanical properties. In addition, the developed model was also used to simulate ventricular electrocardiograms (ECG) under normal and ischemia conditions on the multi-cellular 1-D fiber model. The results showed that our model could reproduce many transmural heterogeneous electromechanical features of the heart, and were in good accordance with experimental observations. The ECG under normal and ischemia conditions were compared to demonstrate the importance of the precise transmural heterogeneity.
Automatic Design of Synchronous Reluctance Motors focusing on Barrier Shape Optimization

The automated design of Synchronous Reluctance motors based on Multi-Objective, Genetic Optimization and Finite Element Analysis is considered in this paper. Three types of barrier shapes are considered, all described by an effective, limited set of input variables. The three solutions are investigated to establish which of the geometries can give the best torque output and also which one represents the best compromise between output performance and computational time. The analysis presented in this paper shows that Synchronous Reluctance motors designed automatically can give a good performance, can be designed in a reasonable time and it is also shown that not all design degrees of freedom are useful in terms of motor performance. Two prototypes of automatically designed machines have been fabricated and experimentally compared to a third prototype designed according to state-of-the-art design principles. Index Terms — AC Machines, AC Motors, AC Drives, Synchronous Motor Drives, Synchronous Reluctance Machines, Rotor Design, Design optimization, Pareto Optimization, Finite
Use of Low-Resolution Infrared Pixel Array for Passive Human Motion Movement and Recognition

The daily monitoring of ageing population is a current issue which can be effectively tackled by applying daily activity monitoring via smart sensing technology. The purpose of the monitoring is mostly aimed at collecting health conditional related activity awareness and emergency events detection. This is a pilot study that uses low pixel resolution infrared sensors for nonintrusive human activity detection and recognition without body attachments and taking of individual image. In this work, we design and implement a multiple IR sensors system and a serial experiment to verify the availability of applying low-resolution IR data for human activity recognition for both single and multiple target scenarios in the healthcare context. In the experimental setup, the sensor system achieves 82.44% accuracy in general and reaches 100% accuracy rate for some particular activities. The work proves that the low-resolution IR information is an effective metric for human activity monitoring in healthcare applications.
1 PRACTICAL MODEL TO ESTIMATE DRIFT MOTION OF VESSELS BY TSUNAMI WITH CONSIDERATION OF COLLIDING WITH STRUCTURES AND STRANDING

Port and harbor areas are vulnerable to tsunamis, because of high population and business activities as well as lowlying areas. Furthermore many vessels, containers and cars existing in the areas may be floated and drifted by a series of tsunamis. The tsunami-drifted bodies have the potential to collide with houses and buildings and then to cause secondary damage to them. In this study, a numerical model has been developed to estimate the behavior of multiple tsunami-drifted bodies. In the present model, a drifted body due to the tsunami is moved in terms of drag and inertia forces acting on the body, which are calculated with fluid velocity distributing on side faces of the body. Furthermore, a collision model is developed and integrated with the drift model, to consider that a drifted body collides with another drift body and a fixed body. A break model of mooring system is also developed and integrated with the drift model, by which a mooring vessel can start to be drifted when the mooring system is broken. The present model is qualitatively validated through conducting simple test runs, and applied to calculations in actual bathymetry and topography.
Human Genome Epidemiology ( HuGE ) Review Meta-and Pooled Analyses of the Cytochrome P-450 1 B 1 Val 432 Leu Polymorphism and Breast Cancer : A HuGE – GSEC Review

1 Scientific Direction, Ospedale Maggiore, Milan, Italy. 2 Department of Preventive Medicine, Faculty of Medicine, Institute of Community Medicine, University of Tromsø, Tromsø, Norway. 3 Department of Preventive Medicine, Seoul National University, College of Medicine, Institute of Environmental Medicine, Seoul, South Korea. 4 Department of Toxicology, Faculty of Pharmacy, Gazi University, Ankara, Turkey. 5 Department of Genetics, Institute for Cancer Research, Norwegian Radium Hospital, Oslo, Norway. 6 Department of Gastrointestinal Medical Oncology, M. D. Anderson Cancer Center, University of Texas, Houston, TX. 7 Department of Pathology, Vanderbilt University Medical Center, Nashville, TN. 8 Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. 9 Center of Occupational Diseases, National Institute of Public Health, Prague, Czech Republic. 10 Center for Health Services Research, Vanderbilt University Medical Center, Nashville, TN. 11 Department of Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. 12 University of Pittsburgh Cancer Institute, Pittsburgh, PA.