Miracle-dz/UniFAR-FTUs huggingface dataset:
What are the factors influencing Iran’s sports talent identification process? Findings of a qualitative study

espanolEste estudio tiene como objetivo determinar los factores que afectan el proceso de identificacion del talento deportivo irani. Teniendo en cuenta la naturaleza exploratoria del tema, se utilizo el metodo de investigacion cualitativa y el enfoque de teorizacion basado en los datos. Primero, a traves de los estudios iniciales y la revision sistematica de los recursos relacionados, se identifico el inventario de signos efectivos. Posteriormente, se realizaron 23 entrevistas semiestructuradas dirigidas a expertos mediante el metodo de la bola de nieve. Las entrevistas continuaron hasta alcazar la saturacion teorica. Los resultados de la codificacion abierta indicaron que se extrajeron 145 signos primarios y 57 signos finales. En la codificacion axial, los signos finales se clasificaron en 18 conceptos y 7 categorias principales. En consecuencia, se determinaron las categorias identificadas, incluidas las condiciones ambientales, las cuestiones individuales, culturales y sociales, la infraestructura, el sistema de gestion, la participacion en los deportes y las partes interesadas clave. Los gerentes deportivos del pais pueden usar los conceptos y categorias identificados para sus planes futuros con el fin de desarrollar la identificacion del talento. EnglishThis study aimed to determine the factors affecting the process of Iranian sport talent identification. Considering the exploratory nature of the subject, the qualitative research method and the theorizing approach based on the data were used. First, through the initial studies and the systematic review of related resources, the inventory of effective signs was identified. Subsequently, 23 targeted semi-structured interviews with experts were conducted through snowball method. The interviews continued to reach the theoretical saturation. The open coding results indicated that 145 primary signs and 57 final signs were extracted. In the axial coding, the final signs were classified into 18 concepts and 7 main categories. Consequently, the identified categories including environmental conditions, individual, cultural, and social issues, infrastructure, management system, participation in sports, and key stakeholders were determined. The country sports managers can use the identified concepts and categories for their future plans in order to develop talent identification.
Role of Mesenchymal Stem Cells in Breast Cancer Progression in vitro

: The role of Mesenchymal stem cells in tumor development is still controversial. MSCs may promote tumor progression through immune modulation, but other tumor suppressive effects of MSCs have also been described. The discrepancy between these results may arise from issues related to different tissue sources, individual donor variability, and injection timing of MSCs. The expression of critical receptors such as Toll-like receptor is variable a teach time point of treatment, which may also determine the effects of MSCs on tumor progression. However, factors released from malignant cells, as well as surrounding tissues and the vasculature, are still regarded as a “black box. ” Thus, it is still difficult to clarify the specific role of MSCs in cancer development. Whether MSCs support or suppress tumor progression is currently unclear, but it is clear that systemically administered MSCs can be recruited and migrates toward tumors. These findings are important because they can be used as a basis for initiating studies to explore the incorporation of engineered MSCs as novel anti-tumor carriers, for the development of tumor-targeted therapies.
Dietary s hift and d iet q uality in India : An a nalysis b ased on 50 th , 61 st and 66 th Rounds of NSS

4 Introduction . 5 Scheme . 8 Eating Out . 8 Changes in Diets . 11 Diet Diversification . 13 Demand Theory based explanation of Changes in Diets . 15 Methodology . 15 Results . 17 Concluding Observations . 23 References . 25 Annex 1 . 27 Annex 2 . 29 Dietary Shift and Diet Quality in India: An Analysis Based on 50, 61 and 66 Rounds of NSS ASARC WP 2012/17 3 ACKNOWLEDGMENTS The authors are grateful to Thomas Elhaut for encouragement, support and guidance, and Anil Deolalikar, Raghbendra Jha and C. Peter Timmer for valuable suggestions, and Raj Bhatia for competent econometric analysis. We are also grateful to B. M. Popkin for sharing his recent research and detailed suggestions. The first author would also like to record his appreciation of the support of and guidance by Bish Sanyal, Department of Urban Studies and Planning, MIT. An earlier version was presented at the 13 International Economic Association of World Congress in Beijing in July, 2012 and the present version has benefited from the comments of the participants. Although this study was funded by Asia and the Pacific Division of IFAD, the views expressed are those of the authors’ alone.
LSHTM Research Online

Background: Schistosomiasis and soil-transmitted helminthiasis (STH) are among the neglected tropical diseases in Africa. A national control program for these diseases was initiated in Uganda during March 2003. Annual treatment with praziquantel and albendazole was given to schoolchildren in endemic areas and to adults in selected communities where local prevalence of Schistosoma mansoni in schoolchildren was high. Methods: The impact of the treatment program was monitored through cohorts of schoolchildren and adults. Their infection status with S. mansoni and STH was determined by parasitological examinations at baseline and at annual follow-ups. The prevalence and intensity of S. mansoni and STH before and after treatment were analyzed. Results: Two rounds of treatment significantly reduced the prevalence of S. mansoni infection in schoolchildren across three regions in the country from 33.4–49.3% to 9.7–29.6%, and intensity of infection from 105.7–386.8 eggs per gram of faeces (epg) to 11.6–84.1 epg. The prevalence of hookworm infection was reduced from 41.2– 57.9% to 5.5–16.1%, and intensity of infection from 186.9–416.8 epg to 3.7–36.9 epg. The proportion of children with heavy S. mansoni infection was significantly reduced from 15% (95% CI 13.4–16.8%) to 2.3% (95% CI 1.6– 3.0%). In adults, significant reduction in the prevalence and intensity of S. mansoni and hookworm infections was also observed. More importantly, the prevalence and intensity of both S. mansoni and hookworm infections in the cohorts of newly-recruited 6-year-olds who had never previously received decreased significantly years: 34.9% (95% CI 31.9–37.8%) to 22.6% (95% CI 19.9–25.2%) and 171.1 epg (95% CI 141.5–200.7) to 72.0 epg (95% CI 50.9–93.1) for S. mansoni ; and 48.4% (95% CI 45.4–51.5) to 15.9% (95% CI 13.6–18.2) and 232.7 epg (95% CI 188.4–276.9) to 51.4 epg (95% CI 33.4–69.5) for hookworms, suggesting a general decline in environmental transmission levels. potentially also
Detection of dynamic and overlapping communities in social networks

Community detection has received much attention in recent years. However, most of community detection methods consider the network as a static structure where communities cannot overlap. A more reasonable description seems to be dynamic and overlapping community structure. Moreover, community detection using members attributes has rarely been investigated in dynamic networks. This paper proposes an incremental approach for the identification of dynamic and overlapping communities. The approach adopted takes advantage of the strengths of multi-agent systems, namely robustness, evolving and adaptive system, for an efficient community detection in dynamic social networks. We use a set of agents associated with detected communities. These agents observe the network, and consequently update their communities. To improve the accuracy of community detection, members attributes are combined with network structure information. The experimental results have shown that our method detects communities with high quality, and successfully tracks their evolution over time. AMS subject classification:
Analysing the Methods of Dzongkha Word Segmentation

Abstract In both Chinese and Dzongkha languages, the greatest challenge is to identify the word boundaries because there are no word delimiters as it is in English and other Western languages. Therefore, preprocessing and word segmentation is the first step in Dzongkha language processing, such as translation, spell-checking, and information retrieval. Research on Chinese word segmentation was conducted long time ago. Therefore, it is relatively mature, but the Dzongkha word segmentation has been less studied by researchers. In the paper, we have investigated this major problem in Dzongkha language processing using a probabilistic approach for selecting valid segments with probability being computed on the basis of the corpus.
A Blockchain-based IoT Platform Integrated with Cloud Services

– Nowadays, Blockchain is not an enigmatic, technical term for many people rather a technology that holds promise as a way not only to record financial transactions but also to decentralize infrastructure and build a trust layer for business logic. Currently it is considered to be a game-changer that could propel us into next industrial revolution. Motivated by the recent explosion of interest around blockchains, blockchain development is undoubtedly accelerating and empowering many financial sectors. However non-financial application areas such as supply chain, health care or eCommerce industry have incredibly grown complex due to the involvement of IoT. So, although they intend to reshape the model, still lots of uncertainty exist in terms of privacy, integrity, scalability and effectiveness. In convergence of blockchain and IoT, there is no definite design model. With all of these considerations in mind, we have developed a blockchain based IoT platform to replace the traditional monolithic sales order management process. The design prototype is associated with the contract creation to enable automated fulfilment of orders from warehouse. This hybrid design represents the convergence of smart contract enabled private Ethereum Blockchain with IoT & also ensure IoT security and controls with combination of AWS-IoT cloud services.
Labetalol Versus Gabapentin-Labetalol Combination As Premedication for Attenuation of Stress Response to Laryngoscopy And Endotracheal Intubation : An Observational Comparative Study

Background: Administration of general anaesthesia involves direct laryngoscopy and endotracheal intubation which leads to various physiological stress responses which in turn increases blood pressure and heart rate. These pressor responses may lead to complications in elderly patients and patients with severe systemic diseases. Hence a premedication agent is advocated which can suppress such pressor responses. In this study we compared effect of labetalol and combination of gabapentin-labetalol with a placebo group for attenuation of pressor responses to laryngoscopy and intubation. Methods: 90 patients belonging to ASA class I and II were divided into three groups A, B and C. One hour before induction of anaesthesia patients in group A received labetalol 100 mg and in group B received 400 mg of gabapentin plus 50 mg of labetalol orally while patients in group C didn’t received any drug and acted as control. Mean arterial pressure (MAP) and heart rate (HR) were recorded in all the three groups at baseline and at 0, 1, 3, 5 and 10 minutes after tracheal intubation. Results: All the three groups were comparable with regards to demographic characteristics. The baseline HR and MAP was also comparable in all the three groups and was statistically insignificant. However after tracheal intubation there was significant increase in HR and MAP in the control group A and group C whereas in group B the response was attenuated. Among the study groups blood pressure was better attenuated by gabapentin + labetalol combination whereas labetalol alone didn’t abolish the pressor response. Conclusion: Gabapentin and Labetalol used in combination attenuate the pressor response to laryngoscopy and intubation but labetalol alone was not able to abolish it.
Autonomous Vehicles and the Ethical Tension Between Occupant and Non-Occupant Safety

Autonomous vehicle manufacturers, people inside an autonomous vehicle (occupants), and people outside the vehicle (non-occupants) are among the distinct stakeholders when addressing ethical issues inherent in systems that include autonomous vehicles. As responses to recent tragic cases illustrate, advocates for autonomous vehicles tend to focus on occupant safety, sometimes to the exclusion of non-occupant safety. Thus, we aim to examine ethical issues associated with non-occupant safety, including pedestrians, bicyclists, motorcyclists, and riders of motorized scooters. We also explore the ethical implications of technical and policy ideas that some might propose to improve non-occupant safety. In addition, if safety (writ large) is truly the paramount priority for autonomous vehicle advocates, we contend that autonomous public transportation should be considered as a more effective and less expensive way to improve public safety.
Organic Compared with Conventional Wheat Had Competitive Yields during the Early Years of Organic Production in the Northeast USA

Organic wheat production has increased significantly because of increased demand by consumers. We used the same variety to evaluate organic (seed treatment) and conventional wheat (no seed treatment) under no-till conditions in 2016 and 2018 with recommended (296 kernels/m2 and 80 kg N/ha) and high inputs (420 kernels/m2 and 56 + 56 kg N/ha) to identify the best organic management practices. Organic compared with conventional wheat with recommended inputs had ~13% lower yields in 2016 but ~7.5% higher yields with high inputs in 2018. Organic wheat emerged 1 to 1.5 days earlier, had 10 to 38% higher plant establishment rates, and had similar weed densities (<0.25 weeds/m2) to high input conventional wheat, which received a fall herbicide. Organic compared with conventional wheat had lower grain N% (0.3 to 0.45% in 2016 and 0.17 to 0.27% in 2018). Organic compared with conventional wheat had mostly higher spike densities, especially with high inputs (~60 more spikes/m2 in 2016 and ~130 more in 2018), probably because of better plant establishment, but mostly lower kernels/spike and kernel weight. Organic compared with conventional wheat had comparable yields, probably because of its competitiveness with weeds. We recommend that growers use recommended seeding and N rates on organic wheat because high seeding rates did not improve weed control, and high N rates were not economical.
Mobile Sink Path Optimization for Data Gathering Using Neural Networks in WSN

Wireless sensor networks are being used for various applications for collection of heterogeneous data. Hotspot problem is major issue of concern that affects the connectivity of entire network along with decreasing lifetime of network. The focus in this paper is lies on optimizing the path followed by the mobile sink for collection of data. The proposed work aims at reducing the hotspot problem and increasing the lifetime. A trained neural network is used to select the best route to be followed by mobile sink. In the proposed work, the stop points are identified which allow the communication between the nodes and the movable sink. The experimental results of the work carried out show that tour length of the sink is greatly reduced and the network lifetime (number of rounds) is increased. Increased lifetime also handles the problem of hotspots.
Beyond fixation durations : Recurrence quantification analysis reveals spatiotemporal dynamics of infant visual scanning

Standard looking-duration measures in eye-tracking data provide only general quantitative indices, while details of the spatiotemporal structuring of fixation sequences are lost. To overcome this, various tools have been developed to measure the dynamics of fixations. However, these analyses are only useful when stimuli have high perceptual similarity and they require the previous definition of areas of interest (AOIs). Although these methods have been widely applied in adult studies, relatively little is known about the temporal structuring of infant gaze-foraging behaviors such as variability of scanning over time or individual scanning patterns. Thus, to shed more light on the spatiotemporal characteristics of infant fixation sequences we apply for the first time a new methodology for nonlinear time-series analysis—the recurrence quantification analysis (RQA). We present how the dynamics of infant scanning varies depending on the scene content during a ‘‘pop-out’’ search task. Moreover, we show how the normalization of RQA measures with average fixation durations provides a more detailed account of the dynamics of fixation sequences. Finally, we link the RQA measures of temporal dynamics of scanning with the spatial information about the stimuli using heat maps of recurrences without the need for defining a priori AOIs and present how infants’ foraging strategies are driven by the image content. We conclude from our findings that the RQA methodology has potential applications in the analysis of the temporal dynamics of infant visual foraging offering advantages over existing methods.
Analysis on Network Architecture of Discipline Growth in Innovative Universities

At present, the common feature of organizational growth theory is that the network provides the developmental elements of the organization. Based on the review of relevant researches, this paper proposes that the first-class discipline growth mechanism research has important theoretical and practical significance to the development of innovative universities. This paper defines the concept of innovative Universities, introduces the network analysis method, and proposes that the development of innovative university first-class discipline is the interaction of internal and external network resources, a network process which takes place around the formation of knowledge innovation activities. This paper argues that the basic academic network nodes include similar disciplines, different disciplines, professional associations, foundations, government, enterprises and other actors. The paper analyses the function of each network node, the connection of nodes among knowledge and information transfer chains, project cooperation chains, and social relation chains.
Integration of moral values in the secondary school humanities curriculum across Lake Zone , Tanzania

*Corresponding Author Email: ngussathe5th@gmail.com This study employed survey design to investigate the integration of moral values in the Secondary School Humanities Curriculum across Lake Zone, Tanzania. A random sample of 95 teachers and 411 students participated in the study. Validity of Research Instruments was established through expert judgment and reliability test yielded Cronbach’s Alpha of 0.87 for students and 0.88 for teachers’ questionnaire. Qualitative data was analyzed using thematic approach while descriptive statistics determined mean scores and Standard Deviations; the null hypothesis was tested by Analysis of Variance and the study established no significant difference in the integration of moral values by teaching subjects. Thus, Christian Religious Education is as important as History, Geography and Civics. Therefore, there is no good reason to exclude it from the school curriculum, since it can play good deal to eradicate immoral behaviors in the society and therefore fulfills the objective of secondary school education in Tanzania. Humanities subjects are full of moral value aspects yet teachers did not thoroughly derive them from the subject matters but they simply mentioned without contextualizing them into real life situations of the learners. Based on these findings, several recommendations were made.
The role of endophytic bacteria during seed piece decay and potato tuberization

Healthy potato tubers (Solanum tuberosum L.) cv. Kennebec were found to be internally colonized by nonpathogenic bacterial populations originating from root zone soil. These endophytic bacteria were categorized, on the basis of bioassays, as plant growth promoting (PGP), plant growth retarding (PGR) and plant growth neutral (PGN). Genera isolated from tubers included Pseudomonas, Bacillus, Xanthomonas, Agrobacterium, Actinomyces and Acinetobacter. The PGP and PGR isolates were similarly distributed throughout these genera. Bacterial populations increased in the root zone soil directly adjacent to the seed piece during and immediately following seed piece decay. Bacteria sampled at this time were capable of promoting tuber number and weight. The proportions of PGP, PGR and PGN bacteria in the root zone were altered as endophytic bacteria were released from the decaying seed piece. The study indicates that endophytic bacteria present in the seed tubers may play an important role in seed piece decay, tuberization and plant growth.
EFFECTS OF FINANCIAL DEEPENING ON ECONOMIC GROWTH IN KENYA Marlyse

Various scholars and researchers have recognized that the development of the financial sector has productivity and growth-enhancing effects. In this regard,several policies that increase financial deepening have been nurtured with the aim of improving economic growth both in developed and developing countries. This study sought to investigate the effects of financial deepening on economic growth in the Kenyan banking sector. The study achieves this objective using quarterly time series data from 2000 to 2013. Financial deepening, the independent variable was captured by four alternative indicators: Liquid Liabilities (LL) as ratio to nominal Gross Domestic Product (GDP); Credit to the Private Sector (CPS) as ratio to nominal GDP; Commercial Bank Assets as ratio to commercial bank assets plus Central Bank Assets (CCBA); and Commercial Bank Deposits (CBD) as ratio to nominal GDP. The dependent variable, economic growth, was measured by real GDP. All the variables were integrated at level I (1) and the Johansen Jeluisus cointegration test showed evidence of cointegrating equations between GDP and financial deepening indicators. Four models were estimated to determine the long run and short run effects. The study found that banking sector in Kenya has an important role in the process of economic growth. Specifically, the empirical results reveal that liquid liabilities, credit to the private sector, commercialcentral bank assets and commercial bank deposits have positive and statistically significant effects on GDP. The study recommends therefore to reinforce existing policies that will encourage the public to save more money with commercial banks. Increasing the interest rate paid to depositors on their deposits for example, will incite people to save more. In addition, the study recommends the intensification of financial inclusion policies through increased access and usage of formal banking services while reducing banks transaction costs. This will encourage more people to participate in economic activities, to borrow and invest more.