nils-herrmann/clean_scirepeval huggingface dataset:
Etude du potentiel de deplacement du criquet nomade entre 1986 et 2004 realisee a partir d'images satellite SPOT, Bassin de la Sofia (Madagascar)
Year: 2006

Les recentes pullulations du criquet nomade Nomadacris septemfasciata (Serville, 1838) observees de 2000 a 2003 dans le bassin de la Sofia a Madagascar ont engendre des ravages importants sur l'agriculture. Le criquet nomade a atteint la phase gregaire pour la premiere fois dans cette zone en 2002. Cette transformation phasaire sans precedent laisse a penser que des conditions environnementales ont recemment change. L'evolution du couvert vegetal, lie a la deforestation serait un facteur determinant et aurait des consequences sur la multiplication des populations acridiennes et leur regroupement par migration. La disparition de la foret, barriere naturelle aux migrations du criquet, favoriserait donc les deplacements. Pour repondre a cette hypothese, la teledetection est utilisee pour realiser une etude diachronique a partir de 2 images SPOT (programme ISIS(r) CNES) obtenues en 1986 et 2004 au nord est du bassin de la Sofia. Les traitements numeriques des images ont permis d'identifier et de cartographier les biotopes acridiens pour les deux dates. L'evolution du couvert vegetal met en evidence une deforestation et une fragmentation des biotopes importantes notamment a l'interieur de la reserve forestiere de Bora. De nouvelles voies privilegiees de deplacement du criquet nomade ont ete ouvertes donnant ainsi acces a des sites potentiels de ponte auparavant inaccessibles.(Resume d'auteur)
Nonlocal discrete and continuous modeling of free vibration of stocky ensembles of vertically aligned single walled carbon nanotubes
Year: 2014

Free dynamic analysis of transverse motion of vertically aligned stocky ensembles of single walled carbon nanotubes is of particular interest. A linear model is developed to take into account the van der Waals forces between adjacent SWCNTs because of their bidirectional transverse displacements. Using Hamilton's principle, the discrete equations of motion of free vibration of the nanostructure are obtained based on the nonlocal Rayleigh, Timoshenko, and higher order beam theories. The application of such discrete models for frequency analysis of highly populated ensembles would be associated with so much computational effort. To overcome such a problem, some useful nonlocal continuous models are established. The obtained results reveal that the newly developed models can successfully capture the predicted fundamental frequencies of the discrete models. Through various numerical studies, the roles of slenderness ratio, radius of the SWCNT, small scale parameter, population of the ensemble, and intertube distance on the fundamental flexural frequency of the nanostructure are examined and discussed. The capabilities of the proposed nonlocal continuous models in predicting flexural frequencies of the nanostructure are also addressed.
Mechanisms and regulation of DNA replication initiation in eukaryotes
Venue: Critical reviews in biochemistry and molecular biology
Year: 2017

Cellular DNA replication is initiated through the action of multiprotein complexes that recognize replication start sites in the chromosome (termed origins) and facilitate duplex DNA melting within these regions. In a typical cell cycle, initiation occurs only once per origin and each round of replication is tightly coupled to cell division. To avoid aberrant origin firing and re replication, eukaryotes tightly regulate two events in the initiation process: loading of the replicative helicase, MCM2 7, onto chromatin by the origin recognition complex (ORC) and subsequent activation of the helicase by its incorporation into a complex known as the CMG. Recent work has begun to reveal the details of an orchestrated and sequential exchange of initiation factors on DNA that give rise to a replication competent complex, the replisome. Here, we review the molecular mechanisms that underpin eukaryotic DNA replication initiation from selecting replication start sites to replicative helicase loading and activation and describe how these events are often distinctly regulated across different eukaryotic model organisms.
M payment adoption for bottom of pyramid segment: an empirical investigation
Venue: International Journal of Bank Marketing
Year: 2019

PurposeThe purpose of this paper is to examine m payment adoption for the bottom of pyramid (BoP) segment in a developing country context. Data were analysed by employing confirmatory factor analysis and Structural Equations Modelling. results show that performance expectancy (PE) effort expectancy (EE) facilitating conditions (FC) habit and social influence (SI) significantly influence the BoP segment's behavioural intention (BI) It is revealed that PE, lifestyle compatibility (LC) SI and habit have relatively stronger effects being higher predictor of intentions. Again EE and FC have relatively lower effects on m payment BI. On the other hand, hedonic motivation (HM) and price value (PV) are two non significant predictors of m payment adoption.Practical implicationsThe study recommends that financial institutions, such as banks and other non banking service firms, need to know the antecedents affecting BI suggested by the unified theory of acceptance and use of technology (UTAUT2) theory along with "LC" This will increase m payment adoption for the BoP segment in developing countries. the extent of researcher's knowledge, none of the previous studies using the UTAUT2 theory to examine m payment adoption for BoP segment. This study contributes empirical data to the predominantly theoretical literature by offering a deeper understanding of the inclusion of LC, which is one of the significant antecedents in explaining BoP segment's m payment adoption.
IBminer: A Text Mining Tool for Constructing and Populating InfoBox Databases and Knowledge Bases
Venue: Proc. VLDB Endow.
Year: 2013

Knowledge bases and structured summaries are playing a crucial role in many applications, such as text summarization, question answering, essay grading, and semantic search. Although, many systems (e.g. DBpedia and YaGo2) provide massive knowledge bases of such summaries, they all suffer from incompleteness, inconsistencies, and inaccuracies. These problems can be addressed and much improved by combining and integrating different knowledge bases, but their very large sizes and their reliance on different terminologies and ontologies make the task very difficult. In this demo, we will demonstrate a system that is achieving good success on this task by: i) employing available interlinks in the current knowledge bases (e.g. externalLink and redirect links in DBpedia) to combine information on individual entities, and ii) using widely available text corpora (e.g. Wikipedia) and our IBminer text mining system, to generate and verify structured information, and reconcile terminologies across different knowledge bases. We will also demonstrate two tools designed to support the integration process in close collaboration with IBminer. The first is the InfoBox Knowledge Base Browser (IBKB) which provides structured summaries and their provenance, and the second is the InfoBox Editor (IBE) which is designed to suggest relevant attributes for a user specified subject, whereby the user can easily improve the knowledge base without requiring any knowledge about the internal terminology of individual systems.
Linguistic measures of pitch range in slavic and Germanic languages
Venue: INTERSPEECH
Year: 2015

Based on specific linguistic landmarks in the speech signal, this study investigates pitch level and pitch span differences in English, German, Bulgarian and Polish. The analysis is based on 22 speakers per language (11 males and 11 females) Linear mixed models were computed that include various linguistic measures of pitch level and span, revealing characteristic differences across languages and between language groups. Pitch level appeared to have significantly higher values for the female speakers in the Slavic than the Germanic group. The male speakers showed slightly different results, with only the Polish speakers displaying significantly higher mean values for pitch level than the German males. Overall, the results show that the Slavic speakers tend to have a wider pitch span than the German speakers. But for the linguistic measure, namely for span between the initial peaks and the non prominent valleys, we only find the difference between Polish and German speakers. We found a flatter intonation contour in German than in Polish, Bulgarian and English male and female speakers and differences in the frequency of the landmarks between languages. Concerning "speaker liveliness" we found that the speakers from the Slavic group are significantly livelier than the speakers from the Germanic group.
Metodi e strumenti per l'analisi dei Customer Requirements nel QFD
Year: 2018

Metodi e strumenti per l'analisi dei Customer Requirements nel QFDIn un contesto di sempre maggiore competitivita tra imprese e clienti sempre piu informati e pretenziosi, diventa necessario per un'azienda strutturarsi al fine di soddisfare il proprio target di mercato proponendo un prodotto che riesca a soddisfare le esigenze del cliente ed essere al contempo competitivo rispetto agli altri attori esistenti sul mercato. Il Quality Function Deployment (QFD) e uno strumento che nasce con lo scopo di integrare le esigenze del cliente nel processo di sviluppo prodotto e produzione cosi che il fine ultimo di soddisfacimento del mercato sia il principale obiettivo e sia soddisfatto. Per ottenere questo risultato il QFD si sviluppa a partire dalle esigenze dell'utilizzatore finale e viene implementato coinvolgendo l'interazione dell'intero personale aziendale. L'implementazione del QFD prevede l'utilizzo di quattro matrici: House of Quality, Part Deployment Matrix, Process Planning Matrix, Process/Quality Control Matrix. In questo lavoro il focus principale sara sulla House of Quality (Casa della Qualita HOQ) in particolare sui Requisiti del Cliente. La HOQ ha lo scopo di mettere in relazione i requisiti del cliente (RC) ottenuti mediante analisi di mercato, con i requisiti tecnici (RT) al fine di progettare un prodotto che risponda alle esigenze dei consumatori e che risulti competitivo all'interno del mercato. La determinazione e l'analisi dei RC sono fasi complesse che richiedono elevata precisione, in quanto un errore in questa fase comporta la creazione di un prodotto che non rispetta le esigenze che il cliente ha manifestato. La complessita di tali processi risiede nelle assunzioni da effettuare in fase di interpretazione dei bisogni del cliente e successivamente nell'analisi dei dati al fine di assegnare ai requisiti una priorita. Questo lavoro si concentrera su tali fasi di determinazione ed analisi dei Requisiti del Cliente, evidenziando i metodi di raccolta e di analisi presenti in letteratura al fine di comprendere i limiti di applicazione dei vari metodi e i punti di forza degli stessi.
A Review of Literature on the Community of Inquiry Framework
Year: 2017

The purpose of the current study was to critically analyze the learning in community of inquiry (CoI) framework. In the year 2000 Garrison, Anderson and Archer introduced CoI framework in order to find solutions to reduce the gaps in online learning and the framework that they have introduced has become the most referenced framework of study in online education so far. According to them, a very satisfactory education takes place within a community of inquiry which consists of teachers and students. Further they assume the learning takes place as a result of interaction among social, cognitive and teaching presence (Garrison, Anderson and Archher, 2000) Though the CoI framework has shaped many studies of e learning in higher education, it is highly recommended that much more research work should be done on this framework to clarify the mounting body of disconfirming evidence.
The Sentiment Analysis of Unstructured Social Network Data Using the Extended Ontology SentiWordNet
Venue: 2019 12th International Conference on Developments in eSystems Engineering (DeSE)
Year: 2019

In this paper the features of semantic and sentiment analysis of textual data of social networks are presented, and an original model and algorithm for sentiment analysis of textual fragments of social networks using fuzzy linguistic ontology are proposed. This approach involves the use of various subgraphs of fuzzy ontology when considering texts of various subject areas with regard to contexts. In addition, the algorithm involves the assessment of the sentiment scores of individual syntagmatic structures into which the analyzed text fragments are divided. It also presents the results of experiments comparing the efficiency of the developed algorithm with a group of existing approaches in analyzing text fragments on the example of data from the social network VKontakte.
A Boundary Distance Based Symbolic Aggregate Approximation Method for Time Series Data
Venue: Algorithms
Year: 2020

A large amount of time series data is being generated every day in a wide range of sensor application domains. The symbolic aggregate approximation (SAX) is a well known time series representation method, which has a lower bound to Euclidean distance and may discretize continuous time series. SAX has been widely used for applications in various domains, such as mobile data management, financial investment, and shape discovery. However, the SAX representation has a limitation: Symbols are mapped from the average values of segments, but SAX does not consider the boundary distance in the segments. Different segments with similar average values may be mapped to the same symbols, and the SAX distance between them is 0. In this paper, we propose a novel representation named SAX BD (boundary distance) by integrating the SAX distance with a weighted boundary distance. The experimental results show that SAX BD significantly outperforms the SAX representation, ESAX representation, and SAX TD representation.
Issues in the design of a randomized noninferiority clinical trial of telemental health psychotherapy for rural combat veterans with PTSD.
Venue: Contemporary clinical trials
Year: 2009

This methodological article provides a description of the design, methods, and rationale of the first prospective, noninferiority designed randomized clinical trial evaluating the clinical and cost implications of delivering an evidence based cognitive behavioral group intervention specifically treating posttraumatic stress disorder (PTSD) with a trauma focused intervention via video teleconferencing (VTC) PTSD is a prevalent mental health problem found among returning Operation Iraqi Freedom/Operation Enduring Freedom (OIF/OEF) military populations. These returning military personnel often live in rural areas and therefore have limited access to care and specialized psychological treatments. In the field of mental health, telemental health (TMH) technology has introduced a potential solution to the persistent problem of access to care in remote areas. This study is enrolling approximately 126 returning veterans with current combat related PTSD who are receiving services through the Veteran Administration (VA) mental health care clinics on 4 Hawaiian Islands. Cognitive Processing Therapy (CPT) an empirically supported manualized treatment for PTSD, is being delivered across 9 cohorts. Participants are assigned to either the experimental VTC condition or the in person control condition. Assessments measuring clinical, process, and cost outcomes are being conducted at baseline, mid treatment, post treatment, and 3 and 6 months post treatment. The study employs a noninferiority design to determine if the group treatment delivered via VTC is as good as the traditional in person modality. In addition, a cost analysis will be performed in order to compare the cost of the 2 modalities. Novel aspects of this trial and specific challenges are discussed.
Optically Reconfigurable Gate Array with a Triple Modular Redundancy
Venue: 2019 6th International Conference on Space Science and Communication (IconSpace)
Year: 2019

Space systems require radiation hardened devices with high soft error tolerance and high total ionizing dose tolerance. An optically reconfigurable gate array (ORGA) with over 400 Mrad total ionizing dose has been developed. The total ionizing dose tolerance of the ORGA is 400 times higher than currently available radiation hardened devices. Moreover, the ORGAs can support high speed scrubbing of configuration memory so that soft errors on configuration memory can be ignored during operations. However, soft errors that arise on the programmable gate array side must be removed. Therefore, this paper presents a new ORGA VLSI with a triple modular redundancy gate array structure that can completely remove soft errors on its programmable gate array.
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
Venue: ECCV
Year: 2020

Human trajectory forecasting with multiple socially interacting agents is of critical importance for autonomous navigation in human environments, e.g. for self driving cars and social robots. In this work, we present Predicted Endpoint Conditioned Network (PECNet) for flexible human trajectory prediction. PECNet infers distant trajectory endpoints to assist in long range multi modal trajectory prediction. A novel non local social pooling layer enables PECNet to infer diverse yet socially compliant trajectories. Additionally, we present a simple "truncation trick" for improving few shot multi modal trajectory prediction performance. We show that PECNet improves state of the art performance on the Stanford Drone trajectory prediction benchmark by ~20.9% and on the ETH/UCY benchmark by ~40.8% Project homepage: this https URL
Medicinal Plants and Urinary Tract Infections: An update
Year: 2008

Medicinal plants are part and parcel of human society to combat diseases from the dawn of civilization. According to World Health Organization (WHO) about 80% of the world population rely chiefly on plant based traditional medicine specially for their primary health care needs and there has been a worldwide move towards the use of traditional medicines due to concerns over the more invasive, expensive and potentially toxic main stream practices. This review gives a bird's eye view on the updated information on urinary tract infections (UTIs) different categories of urologic herbs, historical use and modern scientific investigations on some important urologic herbs, clinical studies, some isolated chemical compounds and their possible side effects.
Ube3a reinstatement mitigates epileptogenesis in Angelman syndrome model mice
Venue: The Journal of clinical investigation
Year: 2019

Angelman syndrome (AS) is a neurodevelopmental disorder in which epilepsy is common ~90% and often refractory to antiepileptics. AS is caused by mutation of the maternal allele encoding the ubiquitin protein ligase E3A (UBE3A) but it is unclear how this genetic insult confers vulnerability to seizure development and progression (i.e. epileptogenesis) Here, we implemented the flurothyl kindling and retest paradigm in AS model mice to assess epileptogenesis and to gain mechanistic insights owed to loss of maternal Ube3a. AS model mice kindled similarly to wild type mice, but they displayed a markedly increased sensitivity to flurothyl kainic acid and hyperthermia induced seizures measured a month later during retest. Pathological characterization revealed enhanced deposition of perineuronal nets in the dentate gyrus of the hippocampus of AS mice in the absence of overt neuronal loss or mossy fiber sprouting. This pro epileptogenic phenotype resulted from Ube3a deletion in GABAergic but not glutamatergic neurons, and it was rescued by pancellular reinstatement of Ube3a at postnatal day 21 (P21) but not during adulthood. Our results suggest that epileptogenic susceptibility in AS patients is a consequence of the dysfunctional development of GABAergic circuits, which may be amenable to therapies leveraging juvenile reinstatement of UBE3A.
Combinatorics Meets Potential Theory
Venue: Electron. J. Comb.
Year: 2016

Using potential theoretic techniques, we show how it is possible to determine the dominant asymptotics for the number of walks of length $n$ restricted to the positive quadrant and taking unit steps in a balanced set \Gamma$ T he approach is illustrated through an example of inhomogeneous space walk This walk takes its st eps in \leftarrow, \uparrow, \rightarrow, \downarrow or \swarrow, \leftarrow, \nwarrow, \uparrow, \nearrow, \rightarrow, \searrow, \downarrow depending on the parity of the coordinates of its positions. The exponential growth of our model is (4\phi)^n$ where \phi= \frac{1+\sqrt 5}{2} denotes the Golden ratio, while the subexponential growth is like $1/n$ As an application of our approach we prove the non D finiteness in two dimensions of the length generating functions corresponding to nonsingular small step sets with an infinite group and zero drift
Classification of Perceived Mental Stress Using A Commercially Available EEG Headband
Venue: IEEE Journal of Biomedical and Health Informatics
Year: 2019

Human stress is a serious health concern, which must be addressed with appropriate actions for a healthy society. This paper presents an experimental study to ascertain the appropriate phase, when electroencephalography (EEG) based data should be recorded for classification of perceived mental stress. The process involves data acquisition, pre processing, feature extraction and selection, and classification. The stress level of each subject is recorded by using a standard perceived stress scale questionnaire, which is then used to label the EEG data. The data are divided into two (stressed and non stressed) and three (non stressed, mildly stressed, and stressed) classes. The EEG data of 28 participants are recorded using a commercially available four channel Muse EEG headband in two phases i.e. pre activity and post activity. Five feature groups, which include power spectral density, correlation, differential asymmetry, rational asymmetry, and power spectrum are extracted from five bands of each EEG channel. We propose a new feature selection algorithm, which selects features from appropriate EEG frequency band based on classification accuracy. Three classifiers i.e. support vector machine, the Naive Bayes, and multi layer perceptron are used to classify stress level of the participants. It is evident from our results that EEG recording during the pre activity phase is better for classifying the perceived stress. An accuracy of \text{92.85} and \text{64.28} is achieved for two and three class stress classification, respectively, while utilizing five groups of features from theta band. Our proposed feature selection algorithm is compared with existing algorithms and gives better classification results.
Protecting World Leaders Against Deep Fakes Anonymous CVPR submission
Year: 2019

The creation of sophisticated fake videos has been largely relegated to Hollywood studios or state actors. Recent advances in deep learning, however, have made it significantly easier to create sophisticated and compelling fake videos. With relatively modest amounts of data and computing power, the average person can, for example, create a video of a world leader confessing to illegal activity leading to a constitutional crisis, a military leader saying something racially insensitive leading to civil unrest in an area of military activity, or a corporate titan claiming that their profits are weak leading to global stock manipulation. These so called deep fakes pose a significant threat to our democracy, national security, and society. To contend with this growing threat, we describe a forensic technique that models facial expressions and movements that typify an individual's speaking pattern. Although not visually apparent, these correlations are often violated by the nature of how deep fake videos are created and can, therefore, be used for authentication.