Miracle-dz/UniFAR-FTUs huggingface dataset:
Semantic segmentation of trajectories with improved agent models for pedestrian behavior analysis

ABSTRACT In this paper, we propose a method for semantic segmentation of pedestrian trajectories based on pedestrian behavior models, or agents. The agents model the dynamics of pedestrian movements in two-dimensional space using a linear dynamics model and common start and goal locations of trajectories. First, agent models are estimated from the trajectories obtained from image sequences. Our method is built on top of the Mixture model of Dynamic pedestrian Agents (MDA); however, the MDA's trajectory modeling and estimation are improved. Then, the trajectories are divided into semantically meaningful segments. The subsegments of a trajectory are modeled by applying a hidden Markov model using the estimated agent models. Experimental results with a real trajectory dataset show the effectiveness of the proposed method as compared to the well-known classical Ramer-Douglas-Peucker algorithm and also to the original MDA model. GRAPHICAL ABSTRACT
A Study of the Chinese spam Classification with Doc2vec and CNN

Convolution neural network is a kind of neural network, which has been proved to be very effective in image recognition and classification. In recent years, convolution neural networks have gradually shifted to the field of natural language processing and become one of the research hotspots. For the construction of word vector text using convolution neural network, only considering the relationship between word granularity level, not considering the relationship between words, nor considering the relationship between semantics, affecting the classification results. In this paper, a method based on Doc2vec and CNN is proposed to classify spam. Firstly, the spam is preprocessed, then the sentence vectors and word vectors of Chinese text are trained by Doc2vec, and finally the trained text vectors are classified by convolution neural network.
La obra neurocientífica de Justo Gonzalo (1910-1986): el síndrome central y la metamorfopsia invertida

: The Spanish neuroscientist Justo Gonzalo Rodriguez-Leal (Barcelona 1910, Madrid 1986) carried out different studies on cerebral functions, highlighting those made in patients with encephalic injuries suffered during the Spanish civil war. His book "Investigaciones sobre la nueva dinamica cerebral. La actividad cerebral en funcion de las condiciones de excitabilidad nerviosa", published in two volumes (the first one in 1945 and the second one five years later), gathers some of his fundamental contributions, among which the so-called central syndrome stands out. A dominant parietal lesion (central) equidistant from the visual, sensorial and auditory projection areas can lead to diverse perceptive dysfunctions, among them inversions in visual, tactile and acoustic perception. As the lesion becomes more peripheral, the resulting defect will be more unisensorial and crossed, while when it approaches the central region, the disorders will be bilateral and polysensorial. Justo Gonzalo explained all these phenomena later by a gradient system.
Multi-sector Service Use by Children in Contact with Ontario Mental Health Agencies

Children and youth frequently receive services for mental health issues from multiple service sectors but little is known about the rates of multi-sector involvement over time. Thus, the prevalence of multi-sector service use for children in contact with Ontario mental health agencies, and the influence of demographic, familial, and need variables on child multi-sector involvement, were examined. Secondary data analyses were performed on chart reviews of clients (N=355; 67% boys; ages 4 to 13) from six mental health agencies. Approximately two-thirds of clients had multi-sector involvement. In crosssectional analyses, risk factors predicted increased likelihood of multi-sector involvement, whereas protective factors predicted decreased likelihood. In longitudinal analyses, increased risk/need at time 1 did not predict likelihood of multi-sector involvement at time 2. Ensuring a match between a client’s degree of need and services used may prevent misallocation of mental health resources.
Autonomic cardiac control in athletes and non-athletes at rest

Heart rate variability (HRV) is an established, noninvasive method for the assessment of autonomic influence on the heart [1]. Low HRV has been associated with increased mortality after myocardial infarction [2]. The autonomic nervous system consists of nerves that are concerned primarily with the regulation of bodily functions. These nerves generally function without a person's awareness. Autonomic nerves include the sympathetic and parasympathetic nerves that control heart rate, the force of cardiac contraction, and the state of constriction of blood vessels through the transmission of nervous impulses. Therefore, autonomic nerves play a pivotal role in the regulation of the cardiovascular system by ensuring optimal function during various healthy activities, as well as in mediating several types of cardiac disease. Long-term physiAutonomic Cardiac Control in Athletes and Non-Athletes at Rest
Entering A Global Academia: Is English Proficiency Enough?

Globalization brought changes in a variety of areas – political, economic, technological, social and others. Different countries react to them in different ways. Russian Federation is the country with one of the highest globalization indexes. This fact brought new pressures and demands to all spheres of life including higher education. Internationalization of higher education institutions was initiated by the global development of the country with a strong focus on doing research globally. This required taking special measures to enhance Russian academics’ research performance to work in an international English-speaking academic context. Courses of English for Academic Purposes were considered the key tool to do it and were offered to Russian academics. However, the results did not meet the expectations, since academics’ abilities to carry out research on a global scale were still limited. It was concluded that English proficiency, initially considered the sine qua non for Russian academics as non-native speakers of English, was not the only aspect to be taken into account. The study was carried out to identify what measures were needed. The obtained results allowed to organize additional events. This study is a part of the PhD research started at the University of Sheffield (Sheffield, UK) in 2016 and continued at the University of Westminster (London, UK) in 2017. The research is intended to find professional development opportunities to support Russian academics aimed for global academia. © 2019 Published by Future Academy www.FutureAcademy. org.UK
Depolarization-dependent pro-survival signaling in spiral ganglion neurons

Membrane depolarization is an effective neurotrophic stimulus, with its trophic effect on spiral ganglion neurons (SGNs) even surpassing that of neurotrophins. Thus, SGN cultures are a favorable system to investigate pro-survival signal transduction downstream of depolarization. Depolarization promotes SGN survival by recruiting three distinct kinase pathways: cyclic AMP-dependent protein kinase (PKA), Ca2+/calmodulin-dependent protein kinase II (CaMKII) and CaMKIV. CaMKIV mediates the pro-survival effect of depolarization by activating CREB in nucleus. However, the mechanisms by which PKA and CaMKII promote survival are still not clear. By targeting constitutively active PKA or a PKA inhibitor (PKI) to the outer mitochondrial membrane (OMM), we showed that PKA activity at the OMM is sufficient to support SGN survival in the absence of other trophic factors and necessary for cAMP-dependent SGN survival. It has been suggested that PKA can promote survival by inactivating pro-apoptotic protein Bad. By cotransfection of SGNs with OMM-PKA and wild-type Bad, we showed that this was the case. We further showed that Ser112 and Ser136 in Bad, but not Ser155, a hypothetical PKA target, were necessary for functional inactivation of Bad by PKA. CaMKII mediates the third depolarization-dependent pro-survival pathway. A specific pro-survival target for CaMKII was identified through a separate
Polimorfismos genticos determinantes da performance fsica em atletas de elite

This article is focused on the review of studies looking for "candidate genes" and their relationship with physical performance phenotypes in elite athletes. Our goal is to bring to readers what makes some individuals excel in some sports modalities, based on variants in genetic loci and markers. In addition, we assume the necessity to describe by what mechanisms a gene can contribute in physical performance, detailing in each part the cellular, physiological and molecular pathways involved. For this reason, we limited our discussion to a small number of genetic variants: polymorphisms R577X a-actinin 3 gene (ACTN3), C34T AMP deaminase gene (AMPD1), I/D angiotensin converting enzyme gene (ACE), -9/+9 b2 bradykinin receptor gene (BDKRB2), and 985+185/ 1170 creatine kinase M gene (CK-M). We hope that this article bring some new information and refine the knowledge to the fact that the process of talent identification and an individual athletic potential maximization resulting in sport success are strongly associated with genetic variants.
Characterizing Reading Ability in Children with Prenatal Alcohol Exposure

Author(s): Glass, Leila | Advisor(s): Mattson, Sarah N | Abstract: Despite widespread public health campaigns and increased knowledge of the harmful effects of drinking during pregnancy, greater than 1% of children are estimated to have prenatal alcohol exposure. Reading-related difficulties are of particular concern in the school-age population. The current study aimed to characterize reading performance in children with heavy prenatal alcohol exposure.Children (6–12y) with histories of heavy prenatal alcohol exposure (n=32) and without (n=40) were administered a two-hour neuropsychological battery, which included multiple measures of reading domains (decoding, fluency, comprehension) and phonological processing (phonological awareness, phonological memory, rapid naming). Caregivers completed assessments of home literacy environment and behavior. Correlation, MANOVA, and regression techniques were conducted to evaluate differences between groups and identify contributing factors for reading performance. Discriminant function and latent class analyses were run to determine whether performance on these measures could aid in differential diagnosis and establish whether distinct subtypes of reading impairment exist.There were no significant differences on demographic characteristics between groups. Alcohol-exposed children performed significantly worse than their peers on all measures, with the exception of rapid naming. In particular, alcohol-exposed children had relative weaknesses in phonological awareness, decoding, and comprehension. They also had significantly higher rates of reading difficulties in all domains. Aspects of phonological processing accounted for significant variance in reading variables across groups. Exposure history accounted for additional variance in decoding and comprehension. No interaction effects were significant. After other factors were added to the models, vocabulary, behavioral concerns, and attitude towards reading were additional significant contributors. Also, exposure history continued to account for significant variance. Outcome variables distinguished between alcohol-exposed children and controls. Distinct subgroups emerged based on severity of impairment. There were no significant differences between performances on academic domains (reading, spelling, math) for either group.Alcohol-exposed children had significant difficulties in all aspects of reading, comparable with their performance in math and spelling. They demonstrated specific weaknesses that suggest potential targets for intervention. Cognitive mechanisms that contribute to reading in both typical and neurodevelopmental disorder populations were also found in this population. Therefore, effective interventions in other populations may be utilized to improve outcomes for alcohol-exposed children.
Q Yöntemi: Tarihi, Kuramı ve Uygulaması

Q methodology is used to reveal similarities and differences of individual viewpoints from the subjective point of view (Brown 1980; Watts & Stenner 2005a). It combines the strong aspects of qualitative and quantitative approaches which gives the researcher the opportunity to assess subject matter in a holistic way (Watts & Stenner, 2012). The aim of this review is to introduce Q methodology, a research method and approach used in a variety of fields such as psychology, health, political science and tourism, to the Turkish scientific literature. It consists of two parts. In the first part, the historical and theoretical background of Q methodology is explained by presenting the formation process of Q as a methodology, by introducing core Q methodology concepts, and through the relationship of Q methodology with the social constructivism. In the second part, the application of Q methodology is described in a stepwise manner, namely, a) generation of Q statements, b) application process, and c) analysis and interpretation.
Scientific Opinion on the risk to plant health posed by Tomato spotted wilt virus to the EU territory with identification and evaluation of risk reduction options

The Panel on Plant Health conducted a pest risk assessment for Tomato spotted wilt virus (TSWV) including the identification and evaluation of risk reduction options. The plants for planting pathway is considered the most important one and rated as likely, with medium uncertainty. TSWV, reported in many Member States, has one of the widest host range for plant viruses and has three widely distributed thrips vector species in the risk assessment area. For countries falling under the provisions of 2000/29/EC Annex IIAII legislation, the probability of establishment is rated as very likely, with low uncertainty. For Finland and Sweden, protected zone under the 2000/29/EC Annex IB legislation, the probability of establishment is rated unlikely to moderately likely. Spread can occur through the activity of thrips vectors and through trade of infected hosts. The probability of spread in Member States under Annex IIAII provisions is evaluated as likely, with low uncertainty. In Finland and Sweden, spread is rated as unlikely to moderately likely, with medium uncertainty. Since TSWV may cause both yield and quality losses in a wide range of hosts, a major impact is predictable in the absence of appropriate control measures, with medium uncertainty. The risk reduction options evaluated by the Panel are those addressing either the sanitary status of the propagation material (including the provisions of 2000/29/EC Annex IIAII and Annex IB, statutory certification system and the use of voluntary industry standards) or those addressing the control of TSWV epidemic development through actions directed at the virus or at its vectors (including cultural methods to reduce crop infestation and chemical or biological control of thrips vectors). Limitations of the current measures and the potential consequences of repealing the current legislation are discussed. © European Food Safety Authority, 2012
Creating Community-Responsive Physicians: Concepts and Models for Service-Learning in Medical Education. AAHE's Series on Service-Learning in the Disciplines.

Part One: The Broader Context For Service-Learning In Medical Education. The Changing Health-Care System And Expectations Of Physicians By Edward H. O'neil Toward Building Communities Of Commitment: Integrating Community-Oriented Primary Care And Continuous Quality Improvement Into Service-Learning By Deborah Gardner, Andrew Schamess, Doreen Harper, Denice Cora-Bramble. Part Two: Designing And Implementing Service-Learning In Medical Education. Partners In Health Education: Service-Learning By First-Year Medical Students By Joseph F. Walsh, Jennifer Sage Smith, G. Christian Jernstedt, Virginia A. Reed, And Sara Goodman Medical Students Go Back To Kindergarten: Service-Learning And Medical Education In The Public Schools By Kate Cauley, Elvira Jaballas, And Betty Holton Service-Learning In Medical Education: Teaching Psychiatry Residents How To Work With The Homeless Mentally Ill By Richard C. Christensen An Interdisciplinary Service-Learning Community Health Course For Preclinical Health Sciences Students By Daniel Blumenthal, Meryl S. Mcneal, Lorine Spencer, Joanne Rhone, And Fred Murphy Service-Learning Opportunities At The Ohio State University: The Community Medicine Rotation And The Community Project By Franklin R. Banks And Catherine A. Heaney University Of Connecticut School Of Medicine: An Urban Partnership By Judy Lewis Initiating, Maintaining, And Sustaining Community Partnerships: Developing Community-Based Academic Health Professions Education Systems By Bruce Bennard, Bruce Behringer, Carol Gentry, Mary Jane Kelley, Paul E. Stanton Jr., And Wanda Vaghan Integrating Teaching, Research, And Service At East Tennessee State University: Action And Accountability In Communities By Joellen B. Edwards, Joy E. Wachs, Sheila M. Virgin, Bruce A. Goodrow, And James E. Florence A Community Partnership In Service To The Homeless: University Of Pittsburgh And The City Of Pittsburgh By Thomas P. O'toole, Joyce Holl, And Paul Freyder . Student-Initiated Community Service: The Community Health Advancement Program By Sharon Dobie, Bonnie Beck, Melinda Tonelli, Charlene Forslund, Connie Huffine, Deborah Kippen, Diane Staheli, And William Hobson. Part Three: Service-Learning Research And Evaluation. The Socialization Of Medical Students In A Preventive Health Service-Learning Experience By Joellen Tarallo-Falk Evaluating The Impact Of Service-Learning: Applications For Medical Education By Sherril B. Gelmon, Barbara Holland, Beth Morris, And Amy Driscoll. Service-Learning Resources.
Qué emociones piensan los futuros maestros que sienten los alumnos ante el cyberbullying. Análisis de su experiencia previa sobre la percepción

El escenario del futuro maestro nos muestra una población con escasa experiencia respecto a la forma de actuar frente al acoso (Álvarez-García et al, 2010). Muchos estudios se han centrado en el análisis de las emociones como factor de motivación del comportamiento. Los resultados han mostrado que actuar sobre las emociones puede provocar una modificación de conducta hacia la reducción del acoso. Las investigaciones señalan que bajos niveles de emociones negativas pueden legitimar los comportamientos de acoso (Perren y Gutzwiller-Helfenfinger, 2012) y que la experimentación de satisfacción puede contribuir a su incremento (Menesini, Palladino y Nocentini, 2015). Nuestro objetivo es conocer la percepción del cyberbullying en las aulas en los futuros maestros, y analizar si está condicionada por su experiencia previa con el acoso. Han participado en el estudio 1122 estudiantes del grado de Educación de la Universidad de Castilla-La Mancha. Los alumnostenían que identificar qué emociones consideraban que caracterizaban a víctimas, agresores y observadores. La escala estaba constituida por 14 emociones, placenteras, displacenteras y neutras (Larrañaga, Navarro y Yubero, 2018), con respuesta dicotómica. Los resultados apuntan que los futuros maestros reconocen en las víctimas miedo, indefensión, malestar, tristeza y preocupación. Asocian el comportamiento agresivo con emociones positivas: satisfacción, diversión y bienestar. Es interesante destacar que en víctimas y observadores consideran que aparece la culpa y la vergüenza. En el análisis diferencial según la experiencia previa, los que han sido agresores informaron de mayor ira en las víctimas, ligeramente superior en el rol mixto de víctima/agresor. También en mayor porcentaje de culpa en los agresores y los observadores. Los estudiantes que habían sido víctimas/agresores indican en mayor porcentaje que los agresores no sienten ‘nada’. Casi el 80% de los que habían sido agresores indicaron que en los observadores se producía sorpresa. Estos resultados pueden tener implicaciones relevantes para la intervención en las aulas.
Web Person Name Disambiguation Using Social Links and Enriched Profile Information

In this article, we investigate the problem of cross-document person name disambiguation, which aimed at resolving ambiguities between person names and clustering web documents according to their association to different persons sharing the same name. The majority of previous work often formulated cross-document name disambiguation as a clustering problem. These methods employed various syntactic and semantic features either from the local corpus or distant knowledge bases to compute similarities between entities and group similar entities. However, these approaches show limitations regarding robustness and performance. We propose an unsupervised, graph-based name disambiguation approach to improve the performance and robustness of the state-of-the-art. Our approach exploits both local information extracted from the given corpus, and global information obtained from distant knowledge bases. We show the effectiveness of our approach by testing it on standard WePS datasets. The experimental results are encouraging and show that our proposed method outperforms several baseline methods and also its counterparts. The experiments show that our approach not only improves the performances, but also increases the robustness of name disambiguation.
A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies

The detection of anomalies in vessel trajectories is a problem of great interest for all maritime surveillance systems, since it may uncover strange, suspicious or difficult situations for vessels. All the existing works in the field examine specific aspects of the problem and propose case specific tools that can hardly generalize or scale-up to a worldwide monitoring system. In this article, we present a methodology for creating a network abstraction of the trajectories of multiple vessels, which uses only the information collected from the vessels’ Automatic Identification System (AIS). The resulting network abstraction contains rich information about the vessel behavior in an area and can be processed with network analysis and other data mining techniques in order to uncover hidden outliers, even in an unsupervised manner. Experimental results on a real dataset demonstrate some of the capabilities of the proposed network model and indicate its extension to more complex automatic surveillance tasks.
Exploring the Health Issues of Hidden Homeless IV Drug users in a Mid-Sized Canadian Community.

The purpose of this study was to explore the health issues that affect hidden homeless IV drug users, with respect to four determinants of health: physical environment, social environment, personal health practices and coping skills and health services. A comparison of hidden homeless IV drug users (IDUs) and non-injecting drug users (NIDUs) was conducted as a secondary analysis of data obtained in a needs assessment of the health and social services used by a hidden homeless population. The results suggest that IDUs have more health issues related to high risk behaviours, blood borne viral infections, stigmatization and lack of social support. Implications for practice include the need for a „housing first‟ approach to housing; creation of a drop-in centre; and education regarding homelessness and drug use to eliminate the stigmatization that exists towards this population. Further research with a larger sample of hidden homeless