Miracle-dz/UniFAR-FTUs huggingface dataset:
Are There Differences in Motives Between Participants in Individual Sports Compared to Team Sports

The aim of this study was to explore which motives dominate among adolescents when it comes to participation in individual versus team sports. We expected that intrinsic motives will dominate in both groups. We also had a hypothesis that those who compete in individual sport will have higher scores on intrinsic and lower on extrinsic motivation than those in team sport. We also expected that intrinsic motives would explain why they had chosen individual sports instead of team sport. The participants were 78 athletes, 39 in team sports and 39 in individual. Participants’ motives were assessed with the Motives for Physical Activity Measure Revised (MPAM-R). The extrinsic motive “fitness” had highest score in both groups, followed by the intrinsic motives “interest/enjoyment” and “competence”. The only motive with a difference between team and individual sport was the intrinsic motive interest/enjoyment. The participants in team sport had a higher score on interest/enjoyment than those in individual sport. We conducted a regression analyze to explain why pupils chose individual instead of team sports. “Interest/enjoyment” had an explanation when we included this as a single independent variable. If they participated in team sport they had a higher score on the intrinsic motive “interest/enjoyment”. When we included all the motives none of them had an explanation. In conclusion we could not find any differences in motives for participation in team versus individual sport. We also only partly found support for the assumption that adolescents mostly are intrinsic motivated for participating in sport.
Mediating Role of Synergy Effect of Merger and Acquisition in the Influence of Competitive Behavior on Enterprise Performance

China's market segmentation has led to companies facing national and regional competition in domestic market after merger and acquisition. This paper adopts empirical study to explore the mediating role of synergy in the influence of competitive behavior on performance after Chinese enterprises mergers and acquisitions. The study finds that the complexity of the national competition strategy has positive impact on enterprise performance, while the regional competition inertia has a significant positive effect on enterprise performance. Operational synergy plays a full mediating role in the influence of competition strategy complexity on enterprise performance at the national level. At the same time, operational synergy, sales synergy and financial synergy have a complete mediating effect on regional competition inertia. Operational synergy has the greatest impact on enterprise performance, reflecting to some extent the resource orientation behind Chinese M&A activities. Keywords—Merger and Acquisition(M&A); Competitive behavior; Enterprise performance; Synergy effect; Mediating role
El proyecto diccionario español-alemán de locuciones del español de España de Colonia/Hamburgo

Ya han pasado varios anos desde que la revista Estudis Romanics tuvo la amabilidad de publicarnos una primera presentacion de nuestro proyecto (cf. Torrent-Lenzen 2007), hoy todavia en curso, que consiste en la elaboracion de un Diccionario espanol-aleman de locuciones del espanol de Espana. Entre tanto, hemos avanzado considerablemente en nuestro trabajo fraseografico y tambien hemos ido modificando nuestros objetivos, con lo cual dicho articulo ha perdido actualidad. Es por esta razon que, estando mas o menos “a mitad de camino”, queremos exponer de nuevo, en las paginas que siguen, los rasgos principales de nuestra obra, tal como la concebimos ahora despues de que hayan madurado muchas ideas.
Alterations in Nigrostriatal Dopaminergic Function within BDNF Mutant Mice

The influence of brain-derived neurotrophic factor (BDNF) upon the nigrostriatal dopaminergic system was evaluated in weanling and adult mice carrying a targeted inactivated BDNF gene. Regional specificity of this BDNF mutation was assessed by assaying catecholamine concentrations within the corpus striatum, hypothalamus, and olfactory bulbs. In weanling mice dopamine, but not norepinephrine, concentrations within the corpus striatum of homozygous mutant (-/-) mice were significantly reduced with levels being 54% that of the wild-type controls (+/+) and 49% that of the heterozygous mutant (+/-) mice. While no differences were obtained among the three genotypes for hypothalamic dopamine, norepinephrine concentrations of -/- mice were significantly lower, being 62% of +/+ mice and 49% of +/- mice. The dopamine concentrations of -/- mice within the olfactory bulb were significantly reduced (69%) compared to the +/-, but not +/+ mice. Olfactory bulb norepinephrine concentrations showed a statistically significant difference among each of the three conditions with minimal levels in -/- mice (62% of +/+ and 45% of +/-). In the adults, catecholamine concentrations were measured only in +/+ and +/- mice since -/- mice do not typically survive past 21 days. Dopamine, but not norepinephrine, concentrations within the corpus striatum were significantly increased (116%) in +/- compared to +/+ mice. No other statistically significant differences were obtained in catecholamine concentrations within the hypothalamus or olfactory bulb in these adult mice. These results show that homozygous BDNF mutations produce severe depletions within the nigrostriatal dopaminergic system and substantial reductions of norepinephrine within the hypothalamus and olfactory bulb. Interestingly, maximal catecholamine concentrations for all areas sampled at both ages were observed in the +/- mice. These latter findings may indicate some subtle changes in catecholamine functions resulting from a heterozygous BDNF mutation.
Biochemical Properties and Subcellular Distribution of an N-type Calcium Channel al Subunit

A site-directed anti-peptide antibody, CNB-1, that recognizes the al subunit of rat brain class B calcium channels (rbB) immunoprecipitated 43% of the N-type calcium channels labeled by [lz51]o-conotoxin. CNB-1 recognized proteins of 240 and 210 kd, suggesting the presence of two size forms of this al subunit. Calcium channels recognized by CNB-1 were localized predominantly in dendrites; both dendritic shafts and punctate synaptic structures upon the dendrites were labeled. The large terminalsof themossyfibersof thedentategyrusgranule neurons were heavily labeled, suggesting that the punctate labeling pattern represents calcium channels in nerve terminals. The pattern of immunostaining was cell specific. The cell bodies of some pyramidal cells in layers II, III, and V of the dorsal cortex, Purkinje cells, and scattered cell bodies elsewhere in the brain were also labeled at a low level. The results define complementary distributions of Nand l-type calcium channels in dendrites, nerve terminals, and cell bodies of most central neurons and support distinct functional roles in calciumdependent electrical activity, intracellular calcium regulation, and neurotransmitter release for these two channel types.
Elucidation of the mechanism of interaction between Klebsiella pneumoniae pullulanase and cyclodextrin.

Crystal structures of Klebsiella pneumoniae pullulanase (KPP) in complex with α-cyclodextrin (α-CD), β-cyclodextrin (β-CD) and γ-cyclodextrin (γ-CD) were refined at around 1.98-2.59 Å resolution from data collected at SPring-8. In the structures of the complexes obtained with 1 mM α-CD or γ-CD, one molecule of CD was found at carbohydrate-binding module 41 only (CBM41). In the structures of the complexes obtained with 1 mM β-CD or with 10 mM α-CD or γ-CD, two molecules of CD were found at CBM41 and in the active-site cleft, where the hydrophobic residue of Phe746 occupies the inside cavity of the CD rings. In contrast to α-CD and γ-CD, one β-CD molecule was found at the active site only in the presence of 0.1 mM β-CD. These results were coincident with the solution experiments, which showed that β-CD inhibits this enzyme more than a thousand times more potently than α-CD and γ-CD. The strong inhibition of β-CD is caused by the optimized interaction between β-CD and the side chain of Phe746. The increased Ki values of the F746A mutant for β-CD supported the importance of Phe746 in the strong interaction of pullulanase with β-CD.
Harry Potter and the philosophy of directed numbers.

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Monthly mean atmospheric D14CO2 at Jungfraujoch and Schauinsland from 1986 to 2016

14CO2 observations at Jungfraujoch high altitude research station in the Swiss Alps (3450m a.s.l.) and at Schauinsland observatory (1205 m a.s.l.) in the German Black Forest are conducted to monitor the background 14CO2 level over Europe and define the reference for regional estimates of fossil fuel CO2. The record is also used for post-bomb dating of organic material (e.g. forensic studies).
Knowledge discovery for enabling smart Internet of Things: A survey

The use of knowledge discovery on the Internet of Things (IoT) and its allied domains is undeniably one of the most indispensable ones, which results in optimized placement architectures, efficient routing protocols, device energy savings, and enhanced security measures for the implementation. The absence of knowledge discovery in IoT results in just an implementation of large‐scale sensor networks, which generates a huge amount of data, and which needs, an often under‐optimized, processing for actionable outputs. In this survey, we explore various domains of IoT for which knowledge discovery is inseparable from the application, and show how it benefits the overall implementation of the IoT architecture.
PWCDA: Path Weighted Method for Predicting circRNA-Disease Associations

CircRNAs have particular biological structure and have proven to play important roles in diseases. It is time-consuming and costly to identify circRNA-disease associations by biological experiments. Therefore, it is appealing to develop computational methods for predicting circRNA-disease associations. In this study, we propose a new computational path weighted method for predicting circRNA-disease associations. Firstly, we calculate the functional similarity scores of diseases based on disease-related gene annotations and the semantic similarity scores of circRNAs based on circRNA-related gene ontology, respectively. To address missing similarity scores of diseases and circRNAs, we calculate the Gaussian Interaction Profile (GIP) kernel similarity scores for diseases and circRNAs, respectively, based on the circRNA-disease associations downloaded from circR2Disease database (http://bioinfo.snnu.edu.cn/CircR2Disease/). Then, we integrate disease functional similarity scores and circRNA semantic similarity scores with their related GIP kernel similarity scores to construct a heterogeneous network made up of three sub-networks: disease similarity network, circRNA similarity network and circRNA-disease association network. Finally, we compute an association score for each circRNA-disease pair based on paths connecting them in the heterogeneous network to determine whether this circRNA-disease pair is associated. We adopt leave one out cross validation (LOOCV) and five-fold cross validations to evaluate the performance of our proposed method. In addition, three common diseases, Breast Cancer, Gastric Cancer and Colorectal Cancer, are used for case studies. Experimental results illustrate the reliability and usefulness of our computational method in terms of different validation measures, which indicates PWCDA can effectively predict potential circRNA-disease associations.
Effect of Using Smartphone before Bed on Sleep Quality among Undergraduate Students at Chulalongkorn University, Thailand

: Background: People perform better when they have a good sleep but the smartphone usage is the one activity that people do before bedtime which can interrupt their sleep. Therefore, this study aimed to describe the effect between using smartphone before bedtime and sleep quality of undergrad student of Chulalongkorn University. Methodology: A cross-sectional study was conducted in 423 students, both male and female in Chulalongkorn University by convenient sampling. There are 4 sections of the questionnaire; 1) general information and covariate factors, 2) Stress, 3) Smartphone use behavior and mobile phone problematic use scale and 4) sleep quality (PSQI). Data collection was done through self-report. The descriptive statistic and Chi-square were used to analyze the data. Results: The study shows that 96.9% of the participants use the smartphone before bedtime, besides 90.8% of the use it in bed. The Mobile Phone Problematic Use Scale (MPPUS) with the sleep quality is in poor level with 63.5%. The general information (age and monthly allowance), covariate factor (caffeine drink and stress) and smartphone use in bed are related to sleep quality with sleep p < 0.05. Conclusion: The result showed some gap that the participant lacked of concern about the smartphone use before bedtime with the sleep quality, the raising of smartphone use it not only rise among undergraduate student, but in every age group. Therefore, this problem should be solved by creating a campaign to educate the people, so that they can be aware of.
Automated PCB identification and defect-detection system (APIDS)

Ever growing PCB industry requires automation during manufacturing process to produce defect free products. Machine Vision is widely used as popular means of inspection to find defects in PCBs. However, it is still largely dependent on user input to select algorithm set for the PCB under inspection prior to the beginning of the process. Continuous increase in computation power of computers and image quality of image acquisition devices demands new methods for further automation. This paper proposes a new method to achieve further automation by identifying the type of PCB under inspection prior to begin defect inspection process. Identification of PCB is achieved by using local feature detectors SURF and ORB and using the orientation data acquired to transform the PCB image to the reference image for inspection of defects. A close-loop system is produced as a prototype to reflect the practicality of the idea. A Graphical User Interface was developed using MATLAB to present the proposed system. Test data contained 29 PCBs. Each PCB was tested 5 times for camera acquired images and 3 times for database images. The identification accuracy is 98.66% for database images and 100% for images acquired from the camera. The time taken to detect the model of PCB is recorded and is significantly lower for ORB based identification than SURF based. The system is also a close loop system which detects defects in PCB units. The detection of defects has highest accuracy of 92.3% for best controlled environment scenario. With controlled environment, the system could detect defects in PCB pertaining to smallest of components such as SMDs.
Water in the Balance

Satellite data may enable improved management of regional groundwater reserves. Earth's climate is changing, and so is its hydrologic cycle. Recent decades have witnessed rising rates of global precipitation, evaporation, and freshwater discharge (1). Extreme flooding is occurring with greater intensity and frequency in some regions; in others, extreme drought is becoming more common (2). Most climate models indicate that by the end of this century, the dry regions of the world will become drier, whereas the wet areas will become wetter (3). Meanwhile, groundwater reserves, the traditional backup for water supplies during extended periods of drought, are in decline globally (4–6). GRACE (the Gravity Recovery and Climate Experiment, a joint U.S.-German satellite mission) monitors these variations on monthly to decadal time scales, providing detailed data on the water cycle that are an essential prerequisite for contemporary water management.
ANÁLISE DE AVALIAÇÕES APLICADAS EM UMA LICENCIATURA EM CIÊNCIAS BIOLÓGICAS: EM BUSCA DE (RES)SIGNIFICAÇÕES ANALYSIS OF EVALUATIONS APPLIED IN A BACHELOR IN BIOLOGICAL SCIENCES: IN SEARCH OF (RE) SIGNIFICATIONS

Resumo: Foram analisadas 100 avaliacoes escritas (AE) relacionadas ao ensino de conceitos de Biologia, elaboradas e aplicadas por professores atuantes em uma Licenciatura em Ciencias Biologicas de uma instituicao publica de ensino superior, da regiao Centro-Oeste, no Brasil, no periodo de 2011 a 2014. Para validacao, e posterior analise quali-quantitativa das AE, contamos com dois docentes especialistas na area. A dissimilaridade entre as AE analisadas foi estimada com base no coeficiente de Jaccard, e na sequencia foi construido um correspondente dendrograma, dos dados gerados e categorizados. Os resultados obtidos sinalizam, que entre os agrupamentos de categorias hierarquicas houve a predominância de perfil tradicional de avaliacao com forte apelo ao conhecimento enciclopedico e memoristico. Verificou-se tambem AE que possibilitavam explorar habilidades cognitivas dos estudantes e aspectos mais abrangentes, em contraposicao a aprendizagem mecânica do conhecimento cientifico. Por fim, o estudo sugere haver necessidade de repensar caminhos alternativos aos modelos de avaliacao tradicionais. Palavras-chave : Educacao em ciencias; Avaliacao da aprendizagem; Avaliacao da ensinagem; Ensino de biologia. Abstract: We analyzed 100 written evaluations related to the teaching of Biology concepts, elaborated and applied by professors working in a Biological Sciences Degree from a public higher education institution, from the Center-West region of Brazil, between 2011 to 2014. For validation, and subsequent qualitative-quantitative analysis of the AE, we counted with two specialists. The dissimilarity between the EA analyzed was estimated based on the Jaccard coefficient, and following a corresponding dendrogram was constructed, of the data generated and categorized. The results obtained indicate that among the groupings of hierarchical categories there was a predominance of a traditional evaluation profile with strong appeal to the encyclopedic and memory knowledge. Was also verified AE that made it possible to explore students' cognitive abilities and broader aspects, as opposed to the mechanical learning of scientific knowledge. Finally, the study suggests that there is a need to rethink alternative paths to traditional evaluation models. Keywords: Education in sciences; Learning assessment; Teaching assessment; Teaching of biology.
Colony founding by queen association and determinants of reduction in queen number in the ant
 Lasius niger
 


Abstract After the nuptial flight, queens of Lasius niger occur in very high densities on the ground. Queens in this study avoided areas frequented by workers of established colonies, leading to additional clumping of nest foundations. In the field 18% of colony foundationnests contained more than one queen (pleometrosis). Queens showed neither preference for nor avoidance of pleometrotic founding, indicating that foundress associations are facultative, promoted by crowding and intense intercolony competition. Indeed, under laboratory conditions brood raiding occurred. In this situation groups of queens had an advantage because they produced more workers initially and the colony with the most workers was more successful in brood raids. The queens in a colony fight until only one is left alive. Removal of workers delayed fighting and addition of workers led to premature fights, indicating that the presence of workers induces fighting amongst the queens. As soon as workers started to forage, additional queens negatively affected colony productivity: colonies with three or four queens produced fewer workers than colonies with one queen. Workers also influenced the outcome of queen-queen interactions, by preferentially feeding the most fertile queen, which was therefore the most likely to survive. Neither weight of the queens by the time of the nuptial flight nor injections of juvenile hormone affected the outcome of fights between queens.
A Semantic Social Network Analysis Tool for Sensitivity Analysis and What-If Scenario Testing in Alcohol Consumption Studies

Social Network Analysis (SNA) is a set of techniques developed in the field of social and behavioral sciences research, in order to characterize and study the social relationships that are established among a set of individuals. When building a social network for performing an SNA analysis, an initial process of data gathering is achieved in order to extract the characteristics of the individuals and their relationships. This is usually done by completing a questionnaire containing different types of questions that will be later used to obtain the SNA measures needed to perform the study. There are, then, a great number of different possible network-generating questions and also many possibilities for mapping the responses to the corresponding characteristics and relationships. Many variations may be introduced into these questions (the way they are posed, the weights given to each of the responses, etc.) that may have an effect on the resulting networks. All these different variations are difficult to achieve manually, because the process is time-consuming and error-prone. The tool described in this paper uses semantic knowledge representation techniques in order to facilitate this kind of sensitivity studies. The base of the tool is a conceptual structure, called “ontology” that is able to represent the different concepts and their definitions. The tool is compared to other similar ones, and the advantages of the approach are highlighted, giving some particular examples from an ongoing SNA study about alcohol consumption habits in adolescents.
WEIGHT GAIN AND ANTIPSYCHOTICS. DATA FROM EUFEST STUDY.

Context Schizophrenia is a chronic disease most frequently necessitating lifelong antipsychotic treatment. Selecting which antipsychotic is to be prescribed in an individual schizophrenia patient represents an important clinical decision that need to take into account efficacy and side effects. Objective Evaluating weight gain related with one year antipsychotic treatment in antipsychotic naive first-episode schizophrenia patients. Design This study is an analysis of weight gain associated with typical or atypical antipsychotics used in European First Episode Schizophrenia Trial (EUFEST) study. Subjects and Methods 113 first episode naïve antipsychotic schizophrenia patients included in EUFEST - Romanian cohort, who were randomized to one of the 5 treatment arms. Weight was obtained at baseline, 3, 6, 9 and 12 months for the 5 antipsychotics (typical-Haloperidol; atypical-Olanzapine, Amisulpride, Ziprasidone, Quetiapine). Results There are no statistically significant differences between groups treated with typical or atypical antipsychotics or between any individual antipsychotics concerning weight gain during the study. Weight gain was the highest in the first 3 months (57.49%) for all the studied neuroleptics. At the end of the study, the less increase was observed with ziprasidone (3.87 kg) and the highest with olanzapine (9.83 kg). Conclusion Increase in weight has taken place for each individual neuroleptic, but also as a group (all neuroleptics) in the first three months (57.49%). Therefore, we should address the issue of weight gain with great care, especially in first period of antipsychotic administration, in order to fast deploy intervention tailored to maintain pre-treatment weight.