Miracle-dz/UniFAR-FTUs huggingface dataset:
Health Education for Musicians

Context and aims: Many musicians suffer for their art, and health is often compromised during training. The Health Promotion in Schools of Music (HPSM) project has recommended that health education should be included in core curricula, although few such courses have been evaluated to date. The aim of the study was to design, implement and evaluate a compulsory health education course at a UK conservatoire of music. Methods: The course design was informed by a critical appraisal of the literature on musicians' health problems and their management, existing health education courses for musicians, and the HPSM recommendations. It was delivered by a team of appropriately-qualified tutors over 5 months to 104 first-year undergraduate students, and evaluated by means of questionnaires at the beginning and end of the course. Thirty-three students who had been in their first year the year before the course was introduced served as a control group, completing the questionnaire on one occasion only. Items concerned: hearing and use of hearing protection; primary outcomes including perceived knowledge and importance of the topics taught on the course; and secondary outcomes including physical and psychological health and health-promoting behaviors. The content of the essays written by the first-year students as part of their course assessment served as a guide to the topics they found most interesting and relevant. Results: Comparatively few respondents reported using hearing protection when practicing alone, although there was some evidence of hearing loss, tinnitus, and hyperacusis. Perceived knowledge of the topics on the course, and awareness of the risks to health associated with performing music, increased, as did self-efficacy; otherwise, there were negative effects on secondary outcomes, and few differences between the intervention and control groups. The topics most frequently covered in students' essays were managing music performance anxiety, and life skills and behavior change techniques. Conclusion: There is considerable scope for improving music students' physical and psychological health and health-related behaviors through health education, and persuading senior managers, educators and students themselves that health education can contribute to performance enhancement.
Stable Hotspot Analysis for Intra-Urban Heat Islands

The Urban Heat Island (UHI) effect describes the difference in temperature between cities and their surrounding areas. However, temperature differences within city limits, so-called Intra-Urban Heat Islands (IUHI), affect human health as well as the energy demands in local areas. In order to anticipate and mitigate the resulting impacts of heat through urban planning, a method to reliably detect these local areas is needed. Existing methods from the geo-statistical field can identify these areas. But these statistics, depending on their parametrization, can be unstable in their detection of hotspots, in particular temperature hotspots. In this paper, we propose a modification of the well-known Getis-Ord (G$^{*}$) statistic, called the Focal G$^{*}$ statistic. This modification replaces the computation of the global mean and standard deviation with their focal counterparts. We define the stability of our approach by introducing a stability metric called Stability of Hotspot (SoH), which requires that hotspots have to be in similar areas regardless of the chosen weight matrix. The results are evaluated on real-world temperature data for the city of Karlsruhe.
Rate of Convergence of $k$-Nearest-Neighbor Classification Rule

A binary classification problem is considered. The excess error probability of the k-nearestneighbor classification rule according to the error probability of the Bayes decision is revisited by a decomposition of the excess error probability into approximation and estimation errors. Under a weak margin condition and under a modified Lipschitz condition or a local Lipschitz condition, tight upper bounds are presented such that one avoids the condition that the feature vector is bounded. The concept of modified Lipschitz condition is applied for discrete distributions, too. As a consequence of both concepts, we present the rate of convergence of L2 error for the corresponding nearest neighbor regression estimate.
Maximally Consistent Sampling and the Jaccard Index of Probability Distributions

We introduce simple, efficient algorithms for computing a MinHash of a probability distribution, suitable for both sparse and dense data, with equivalent running times to the state of the art for both cases. The collision probability of these algorithms is a new measure of the similarity of positive vectors which we investigate in detail. We describe the sense in which this collision probability is optimal for any Locality Sensitive Hash based on sampling. We argue that this similarity measure is more useful for probability distributions than the similarity pursued by other algorithms for weighted MinHash, and is the natural generalization of the Jaccard index.
Mind Your Language: Learning Visually Grounded Dialog in a Multi-Agent Setting

The task of visually grounded dialog involves learning goal-oriented cooperative dialog between autonomous agents who exchange information about a scene through several rounds of questions and answers. We posit that requiring agents to adhere to rules of human language while also maximizing information exchange is an ill-posed problem, and observe that humans do not stray from a common language, because they are social creatures and have to communicate with many people everyday, and it is far easier to stick to a common language even at the cost of some efficiency loss. Using this as inspiration, we propose and evaluate a multi-agent dialog framework where each agent interacts with, and learns from, multiple agents, and show that this results in more relevant and coherent dialog (as judged by human evaluators) without sacrificing task performance (as judged by quantitative metrics).
CyTargetLinker app update: A flexible solution for network extension in Cytoscape

Here, we present an update of the open-source CyTargetLinker app for Cytoscape ( http://apps.cytoscape.org/apps/cytargetlinker) that introduces new automation features. CyTargetLinker provides a simple interface to extend networks with links to relevant data and/or knowledge extracted from so-called linksets. The linksets are provided on the CyTargetLinker website ( https://cytargetlinker.github.io/) or can be custom-made for specific use cases. The new automation feature enables users to programmatically execute the app’s functionality in Cytoscape (command line tool) and with external tools (e.g. R, Jupyter, Python, etc). This allows users to share their analysis workflows and therefore increase repeatability and reproducibility. Three use cases demonstrate automated workflows, combinations with other Cytoscape apps and core Cytoscape functionality. We first extend a protein-protein interaction network created with the stringApp, with compound-target interactions and disease-gene annotations. In the second use case, we created a workflow to load differentially expressed genes from an experimental dataset and extend it with gene-pathway associations. Lastly, we chose an example outside the biological domain and used CyTargetLinker to create an author-article-journal network for the five authors of this manuscript using a two-step extension mechanism. With 400 downloads per month in the last year and nearly 20,000 downloads in total, CyTargetLinker shows the adoption and relevance of the app in the field of network biology. In August 2019, the original publication was cited in 83 articles demonstrating the applicability in biomedical research.
Multi-level Trainable Segmentation for Measuring Gestational and Yolk Sacs from Ultrasound Images

Ovarian masses are categorised into different types of malignant and benign. In order to optimize patient treatment, it is necessary to carry out pre-operational characterisation of the suspect ovarian mass to determine its category. Ultrasound imaging has been widely used in differentiating malignant from benign cases due to its safe and non-intrusive nature, and can be used for determining the number of cysts in the ovary. Presently, the gynaecologist is tasked with manually counting the number of cysts shown on the ultrasound image. This paper proposes, a new approach that automatically segments the ovarian masses and cysts from a static B-mode image. Initially, the method uses a trainable segmentation procedure and a trained neural network classifier to accurately identify the position of the masses and cysts. After that, the borders of the masses can be appraised using watershed transform. The effectiveness of the proposed method has been tested by comparing the number of cysts identified by the method against the manual examination by a gynaecologist. A total of 65 ultrasound images were used for the comparison, and the results showed that the proposed solution is a viable alternative to the manual counting method for accurately determining the number of cysts in a US ovarian image.
Cambio sectorial e implicaciones para el desajuste ocupacional en España

El nivel de desempleo de una economía depende de un conjunto amplio de factores, entre los que los institucionales ligados a la regulación del mercado de trabajo ocupan un lugar destacado. Este artículo se centra, sin embargo, en el papel que pueden desempeñar las dificultades a las que se enfrentan los desempleados a la hora de cubrir los puestos de trabajo disponibles en el mercado derivados del grado de adecuación de sus habilidades en relación con los requerimientos de dichos puestos. La motivación de este análisis para el caso de la economía española se deriva del hecho de que, de los más de 2,5 millones de puestos de trabajo destruidos desde el inicio de la crisis, alrededor de millón y medio corresponden al sector de la construcción, cuyo peso en el empleo total ha pasado del 13 % en 2007 al 7 % a finales de 2011. Dado que no cabe pensar que este sector pueda recuperar en el futuro un nivel de actividad similar al observado en el pasado, resulta muy relevante analizar la empleabilidad futura de los desempleados procedentes de dicho sector.
Fractional Laplacians and extension problems: The higher rank case

The aim of this paper is two-fold: first, we look at the fractional Laplacian and the conformal fractional Laplacian from the general framework of representation theory on symmetric spaces and, second, we construct new boundary operators with good conformal properties that generalize the fractional Laplacian using an extension problem in which the boundary is of codimension two.
Vaimse arengu mahajäämuse geneetilised põhjused: X-liiteline vaimse arengu mahajäämus

Uheks koige sagedasemaks raske puude pohjuseks lastel ja noortel on vaimse arengu mahajaamus (VAM). Vaatamata sellele, et valja on tootatud palju erinevaid uurimis meetodeid, jaab enamik neist patsientidest praegugi veel tapse diagnoosita. Viimastel aastatel on uuringute tahelepanu keskpunkti tousnud X-kromosoom, kuna on leitud, et vorreldes autosoomidega esineb X-kromosoomis margatavalt rohkem geene, mis muteerununa pohjustavad VAMi. Artiklis on kirjeldatud teadaolevalt sagedasemaid X-liitelise vaimse arengu mahajaamuse sundroome ning toodud valja autismi seni leitud seosed X-liitelise VAMiga. Eesti Arst 2007; 86 (4): 239–245
AUTOEFICÁCIA DOCENTE: UMA ANÁLISE DAS CRENÇAS DE PROFESSORES DA EDUCAÇÃO DE JOVENS E ADULTOS

A autoeficacia e um assunto que vem sendo muito discutido no âmbito da Psicologia Educacional, especialmente por ser tratar de um construto que tem grande impacto no que diz respeito a autorregulacao da aprendizagem e a motivacao dos estudantes. Partindo deste pressuposto, este trabalho parte das contribuicoes das analises feitas pelo psicologo Albert Bandura. O presente estudo teve como objetivo analisar as crencas de autoeficacia de professores de EJA. Foi aplicada uma Escala de Autoeficacia Docente aos professores que lecionam na Educacao de Jovens de Adultos, de uma escola no municipio do Norte Fluminense. A partir da analise dos testes, constatou-se que, apesar de apresentar uma alta crenca na eficacia pessoal, a maioria dos professores apresenta um baixo indice em relacao a crenca no ensino.
Son distintos el creak y la voz creaky

Resumen Tanto en el ambito referido al analisis de la cualidad de voz en general como en el de las patologias vocales, es habitual encontrar trabajos en los que el objeto de estudio son dos tipos de fonacion que, en palabras de Catford 1964, producen la misma impresion que «un palo al recorrer una verja». Las etiquetas que se les han aplicado son muy variadas; ademas, algunos autores categorizan estos dos tipos de fonacion como uno solo y unicamente unos pocos investigadores realizan una distincion clara entre ambos conceptos. Esto demuestra que se trata de conceptos dificiles de perfilar y merecedores, por consiguiente, de un analisis en profundidad. Por ese motivo se ha disenado un experimento para determinar si es posible distinguir perceptivamente los dos tipos de fonacion, voz creaky y creak, o si, por el contrario, no resulta posible distinguirlos y, por tanto, deberian categorizarse bajo un mismo nombre. Los informantes que han actuado como jueces –agrupados en nativos/no nativos de espanol, entrenados/no entrenados en el Analisis del Perfil Vocal y expertos/ no expertos en cualidad de voz creak(y)– han demostrado ser capaces de categorizar los distintos estimulos con un elevado grado de acuerdo y las diferencias entre las respuestas de los distintos grupos resultan significativas en este estudio preliminar. Palabras clave : creak, voz creaky; Vocal Profile Analysis; percepcion; fonacion; cualidad de voz. Abstract It is common to find papers in the field of voice quality and speech pathologies in which the object of study are two types of phonation that are defined as «a stick running along a railing» (Catford 1964). These types of phonation have received different names. Some researchers categorize these two types of phonation as one phenomenon while a small group distinguish between two concepts, «creak» and «creaky voice», which complicates its study. Defining these types of phonation is a difficult task and in depth studies are needed. A perceptual experiment has been designed to investigate if it is possible to distinguish creaky voice from creak or not, in which case they should be categorized under the same name. The judges were grouped according to the following parameters: native/non-native Spanish speakers, VPA trained / not trained and creaky voice experts/non-experts. Results showed that judges were able to categorize different stimuli with a high level of agreement. All differences investigated between the groups of judges were significant in this preliminary study. Keywords : creak, creaky voice; Vocal Profile Analysis; perception; phonation; voice quality
16 Finding Base-Station Locations in Two-Tiered Wireless Sensor Networks by Particle Swarm Optimization *

In wireless sensor networks, minimizing power consumption to prolong network lifetime is very crucial. In the past, Pan et al. proposed two algorithms to find the optimal locations of base stations in two-tiered wireless sensor networks. Their approaches assumed the initial energy and the energy-consumption parameters were the same for all application nodes. If any of the above parameters were not the same, their approaches could not work. Recently, the PSO technique has been widely used in finding nearly optimal solutions for optimization problems. In this paper, an algorithm based on particle swarm optimization (PSO) is thus proposed for general power-consumption constraints. The proposed approach can search for nearly optimal BS locations in heterogeneous sensor networks, where application nodes may own different data transmission rates, initial energies and parameter values. Experimental results also show the good performance of the proposed PSO approach and the effects of the parameters on the results. The proposed algorithm can thus help find good BS locations to reduce power consumption and maximize network lifetime in two-tiered wireless sensor networks.
Performance analysis of inter cluster communication methods in VLIW architecture

With increasing demands for high performance by embedded systems, especially by digital signal processing applications, embedded processors must increase available instruction level parallelism (ILP) within significant constraints on power consumption and chip cost. Clustered VLIW (Very Long Instruction Word) architectures can be used to address this problem. Their clusters have to communicate by some mechanism to ensure that the data in one cluster can be used by other clusters as and when required. We selected four different mechanisms of inter cluster communication under the category of fully connected deadlock free networks. Then we designed and implemented the VLIW processors employing these mechanisms and analyzed them against various performance parameters-cycle time, cycle count overhead, instruction size and gate count. Also the effects of changing the data width and number of registers in a register file are analyzed.
Genome-wide analysis of genetic variations assisted by Ingenuity Pathway Analysis to comprehensively investigate potential genetic targets associated with the progression of hepatocellular carcinoma.

OBJECTIVES Hepatocellular carcinoma (HCC) is one of the most common malignant tumors and the third cause of cancer death worldwide. The development of HCC is a multi-pathway regulated process including a variety of genetic mutations and variations. MATERIALS AND METHODS To get an insight into the overall genetic aberration, we analyzed the gene expression profile of 9 HCC samples and 9 normal liver tissues as control. Genes located in these two regions of 4p16.3 and 14q32.1 with gain or loss proceeded to in-depth analysis based on the Ingenuity Pathway Analysis (IPA). Through network analysis of these genes and pathways, molecules highly correlated with HCC and might be targeted for treatments were also hunted out. RESULTS Through this method, we found two MicroRNAs (miR-943 and miR-571) that never been reported in HCC samples before. CONCLUSIONS Our study has introduced an effective method for cancer research and our work will greatly promote the genetic knowledge of HCC.
A Mixed Modified LBP Approach for the Recognition of Real Life Human Faces

Human face is one kind of multidimensional visual pattern. In this paper, a modified Local Binary Pattern (LBP) method is applied for human face feature extraction and features are computed from micro patterns created using modified LBP from human faces. Face cluster classification as well as recognition is done by Multilayer Feed Forward Neural Network including back propagation algorithm for learning. In the present study, both real life male and female face images are captured and taken for implementation and an improved result has been obtained.
Preparing Set-Based Analysis for Run-time Specialization

We present a technique of using static analysis for estimating program’s input-dependent properties. A static analysis that is originally designed for estimating the input-independent properties of programs is transformed into one that can safely estimate the input-dependent properties at the programs’ input occurrence. No profile is collected and no probing codes inside the running program are needed. Our idea is to defer the finish of the static analysis to the program’s run-time. By analyzing the static analysis, we identify the parts of the analysis that are sensitive to the program’s inputs, hence need to be deferred to the program’s run-time. Then by using an analysis named static value-slicing, we short-cut some of the dynamic parts so that they are solved by simple membership tests for the program’s input. This re-formulation accelerates the analysis; once the program’s input occurs the prepared dynamic parts can immediately and simultaneously start to resolve. Every step of our technique is formally defined and proven correct.
Breaking bad news

When confronted with particularly bad news such as diagnosis of a terminal illness, a patient might wonder, “Now what am I going to do? I don’t know how long I am going to live. ” Under these circumstances, patients may reflect on what is meaningful in life and seek to sort out their personal affairs. Their primary concerns often relate to life expectancy and questions regarding how much time they have left to spend with friends and family, hence their frustration when their doctor is unable to give specific details about survival and outcome.
GESTÃO DE PESSOAS: PARTICULARIDADES DE EMPRESAS FAMILIARES MANAGEMENT OF PEOPLE: PARTICULARITITIES OF FAMILY FIRMS

Resumo: Este artigo propoe-se a entender a problematica de empresas familiares considerando a interacao entre cultura organizacional, traduzida em valores e, praticas de gestao de pessoas. Para tanto, foram estudadas tres empresas familiares do Sul de Minas Gerais. As origens, a historia e os aspectos contextuais marcam a vida das organizacoes, abrindo a perspectiva da consideracao de aspectos culturais presentes em decisoes e acoes, considerando-se que os valores organizacionais estao presentes nessas praticas de gestao. O estudo com recurso a pesquisa qualitativa caracteriza-se como multicasos, com tecnica de entrevista em profundidade. Constatou-se que as praticas de gestao de pessoas das empresas estudadas sao marcadas por valores organizacionais que se expressam em praticas de gestao de pessoas traduzidas em recrutamento, selecao, avaliacao, remuneracao e treinamento. As evidencias empiricas da insercao de valores nas praticas de gestao demonstram que na gestao dos funcionarios, os dirigentes procuram contornar imposicoes e determinacoes da racionalizacao administrativa.
Der Einfluss sozialer Online-Netzwerke auf ihre Mitglieder : eine Analyse von Nutzungsarten und sozialen Mechanismen

Die Dissertation beschaftigt sich mit dem Einfluss sozialer Online-Netzwerke auf ihre Mitglieder. Der Fokus der Arbeit liegt auf der differenzierten Betrachtung unterschiedlicher Nutzungsarten und sozialer Mechanismen, die auf den digitalen Plattformen stattfinden. Anhand einer strukturierten Literaturanalyse wird zuerst der aktuelle Stand der Forschung aufgearbeitet. Anschliesend werden zwei soziale Mechanismen herausgegriffen, theoretisch aufgearbeitet und empirisch getestet. Zum einen wird anhand einer quantitativen Tagebuchstudie mit qualitativen Elementen untersucht, inwiefern soziale Online-Netzwerke das Zugehorigkeitsbedurfnis Jugendlicher und damit ihr subjektives Wohlbefinden durch die Nutzung adressierter Features starken konnen. Zum anderen wird die Rolle von Neidgefuhlen unter Studierenden, die mit der Konsumierung sozialer Informationen in sozialen Online-Netzwerken in Zusammenhang steht, analysiert. Insgesamt zeigen die Ergebnisse die Wichtigkeit, nach Nutzungsarten zu unterscheiden, da sie mit unterschiedlichen Wirkungsmechanismen in Verbindung gebracht werden. Um den Einfluss sozialer Online-Netzwerke auf ihre Mitglieder besser vorhersagen zu konnen, ist deshalb eine Differenzierung von Nutzungsverhalten sinnvoll.
Ética del humor en la política y en la educación

Nuestra educacion etica influye en nuestro umbral para percibir algo como gracioso. Es importante educar en el humor etico que sabe reir en el momento oportuno, en el grado adecuado y por los motivos justificados. Reir de la dimension moral de un politico tiene importantes consecuencias electorales. Los politicos deben evitar los discursos risibles. El buen humor humaniza las relaciones entre politicos, pero muchos utilizan el humor estrategicamente. Podemos encontrar alumnos que rien de otros alumnos o de sus profesores, o profesores que rien de sus alumnos. Es importante crear un espacio de buen humor en el aula.