Miracle-dz/UniFAR-FTUs huggingface dataset:
A Literature Review on Coach-Athlete Relationship in Table Tennis

Coach-athlete relationship is a salient factor in table-tennis as it impacts players’ performance and well-being. The structure and set up in table tennis is often designed so the players and coaches are working together through many stages in the players’ career. For instance, it is not uncommon for coaches of young table tennis players to accompany their respective players to the senior international elite level. Indeed, the access to the knowledge base regarding coach-athlete relationship represents a major issue for the different stakeholders involved in table-tennis (coaches, athletes, parents, sport psychologists, researchers). To that end, we firstly overviewed and discussed the different theoretical models exploring the concept of coach-athlete relationship to clarify the core dimensions of this construct. Secondly, we provided a rationale behind the salient role of coach-athlete relationship in table tennis by detailing its consequences in order to better understand the mechanisms underlying coach-athlete relationship. Thirdly, we addressed how table tennis coaches can develop and/or maintain an adaptive coach-athlete relationship, especially in reference to specific situations in table tennis. In conclusion, the coach-athlete relationship is a particularly important parameter in the daily life of the table tennis players due to its influence on their performance and well-being. Thus, it is essential that the coaches establish relationship promoting athletes’ development throughout their career.
Analisis Kinerja Unit Apron Movement Control Terhadap Safety di Bandar Udara International Husein Sastranegara

Tujuan dilakukan penelitian ini untuk mengetahui peran dan kinerja unit Apron Movement Control (AMC) terhadap safety di Bandar Udara Internasional Husein Sastranegara. Penelitian ini menggunakan metode kualitatif deskriptif. Data yang digunakan dalam penelitian ini adalah data primer dan data sekunder. Hasil penelitian ini menunjukan bahwa unit AMC mempunyai peran utama dalam melakukan pengawasan pada area apron dan sisi udara lainnya untuk mencegah terjadinya ground collision. Hasil penelitian ini juga menunjukan bahwa kinerja yang dihasilkan oleh unit AMC sudah baik, hal ini dibuktikan dari 21 aspek yang diamati dengan jumlah 59 uraian prosedur kerja pada SOP telah dilakukan sebanyak 54 prosedur, dan 5 prosedur belum dilakukan secara rutin, indikator kinerja yang sesuai dengan profil kerja pada peraturan direksi telah dilaksanakan oleh unit AMC, pelaksanaan tugas operasional sebagaimana mestinya dengan melakukan koordinasi sesuai dengan acuan SOP dan LOCA yang berkaitan langsung dengan pihak GH, dan unit ADC, dan pemberian Certificate of Appreciation oleh Executive General Manager (EGM) kepada Airside Operation Officer.
Cell Block: A Tool to Improve Cytopathologic Diagnostic Value of Fine Needle Aspiration Material

Background: The various advantages of Fine-needle aspiration (FNA) biopsy/ cytology can be limited due to inadequacy of the specimen and expertise required for diagnosis. Cell blocks (CBs), though routinely used in cytology of body fluids, can also be used in FNA material with considerable increase in diagnostic accuracy. Aims & objectives: To compared FNA & CB as diagnostic tool and to evaluate whether cell block adds to the diagnostic accuracy of FNA. Methods: This is a two years prospective study carried out in the pathology department of a tertiary heath care hospital and medical college of South India which included the cases undergoing the FNAC, and followed by the biopsy. CB was prepared using Tissue coagulum clot (TCC) method. The smears and tissue sections were assessed for cellularity and adequacy for diagnosis. CBs were grouped into four diagnostic categories. FNA & CB were compared with histopathology (HPE) diagnosis to calculate Sensitivity, Specificity and Diagnostic Accuracy. Result: A total of 195 cases were included. Cellularity and adequacy for diagnosis were higher in CB. They were diagnostically better (superior) in 13.84% (27) cases. The sensitivity (95.77%) and diagnostic accuracy (94.87%) of CB was found to be considerably higher than FNA (78.84% and 78.46% respectively). Conclusion: In cases of suspicious/ intermediate diagnosis or diagnosis discordant with clinical ones, by FNA; should be followed with the CB to improve the diagnostic yield & to facilitate accurate diagnoses. TCC method is a simple CB method which has higher diagnostic accuracy than FNA.
Experimental Study of Two-Phase Air–Water Flow in Large-Diameter Vertical Pipes

Recently, due to an increase in production demand in nuclear and oil and gas industries, the requirement to migrate toward larger pipe sizes for future developments has become essential. However, it is interesting to note that almost all the research on two-phase gas–liquid flow in vertical pipe upflow is based on small-diameter pipes (D ≤ 100 mm), and the experimental work on the two-phase gas–liquid flow in large-diameter (D > 100 mm) vertical pipes is scarce. Under the above circumstances, the application of modeling tools/correlations based on small-diameter pipes in predicting flow behavior (flow pattern, void fraction, and pressure gradient) poses severe challenges in terms of accuracy. The results presented in this article are motivated by the need to introduce the research work done to the industries where the data pertaining to large-diameter vertical pipes are scarce and there is a lack of understanding of two-phase gas-liquid flow behavior in large-diameter (D > 100 mm) vertical pipes. The unique aspect of the results presented here is that the experimental data have been generated for a 254-mm inner diameter vertical pipe that forms an excellent basis for the assessment of modeling tools/correlations. This article (i) presents the results of a systematic investigation of the flow patterns in large-diameter vertical pipes and identifies the transition between subsequent flow patterns, (ii) compares it directly with the existing large- (150 mm) and small-diameter data (28 mm and 32 mm) in the same air–water superficial velocity range, (iii) exemplifies that the existing available empirical correlations/models/codes are significantly in error when applied to large-diameter vertical pipes for predictions, and last (iv) assesses the predictive capability of a well-known commercial multiphase flow simulator.
The Effects of Insulating and Non-Insulating Cost Allocations on Risk and Cooperation

Firms allocate shared costs for decision-making, control, and reporting purposes. One important choice firms face with regard to cost allocations is whether they should be insulating or non-insulating. Non-insulating allocations follow ability-to-bear principles and allocate costs based on relative performance measures, creating an inter-dependency between managers. On the other hand, insulating allocations are independent of relative performance during the period. In an experiment, we predict and find that, compared to participants in an insulating cost allocation condition, participants in a non-insulating cost allocation condition chose capital projects with greater risk, developed stronger group identification, and perceived their allocation method to be less fair. We also find that, as posited, both group identification and perceptions of fairness have positive effects on cooperation. We do not, however, find overall differences in cooperation between cost allocation conditions – essentially, the effects of cost allocation condition on cooperation operating through group identification and fairness perceptions offset each other. Collectively, our study and findings have important implications regarding the design and use of cost allocations to motivate desired attitudes and behaviors.
Polymer Sphere Array Assisted ZnO Electroless Deposition

ZnO uniform films were deposited on polymer sphere arrays by an electroless technique. The low-dimensional ZnO particles were grown from an aqueous solution of zinc nitrate and dimethylamineborane. The X-ray diffraction studies demonstrate that the ZnO crystallites have a hexagonal wurtzite structure. The scanning electron microscopy images prove that ZnO hexagonal prisms are synthesized with a fairly uniform diameter of around 200 nm. From the contact angle measurements it was found that the electroless deposition on polymer sphere arrays of semiconductor hexagonal prisms leads to an improvement of ZnO hydrophobic properties.
Postsecondary Outcomes of Innovative High Schools: The Big Picture Longitudinal Study

Context Educational reform efforts have taken the form of different school models intended to reduce educational inequality. Personalized, interest-based schools and academically focused, “No Excuses” schools are two leading small-school designs with sharply contrasting approaches to innovation. Given mixed research findings about the successes and challenges of school reform models in the United States, it is imperative to understand how educational outcomes of students relate to the philosophy and distinguishing characteristics of particular school models such as these. At the same time, evaluating social mobility effects of high school education across educational reform models requires examination of common metrics such as high school graduation rate and college entrance and degree attainment. Purpose This study sought to establish whether and how a personalized, interest-based secondary school reform model is associated with graduates’ characteristics and postsecondary outcomes—and to place these findings in relation to student outcomes reported by a leading No Excuses school network. Setting Big Picture Learning is a network of innovative small schools that serves primarily low-income and minoritized students through an individualized, relational, real-world-based high school experience. The Big Picture educational model features individualized learning plans connected to extensive internships, independent learning organized around student interests, authentic assessments, and close, informal relationships between students and adults. Research Design The Big Picture Longitudinal Study tracked 1900 graduates from six graduating high school classes. Data sources included student and school advisor surveys, National Student Clearinghouse college enrollment data, and interviews with graduates’ former advisors. Published outcomes data for KIPP No Excuses schools provided comparative information. Analyses comprised descriptive statistics of survey data and multivariate regression analyses connecting high school exit data to college outcomes. Findings The Big Picture Learning model is extremely successful in meeting its stated goals of fostering positive relationships, helping students discover and pursue their interests, and promoting high school graduation and college entrance. Results for academic subject achievement and college persistence are mixed, however. Big Picture graduates have similar college matriculation rates but somewhat lower six-year graduation rates than alumni from the KIPP No Excuses school network. Alumni from both networks show high rates of college attrition. Conclusion When taken alone and in context of other innovative school models, the Big Picture results point to the difficulty of sustaining secondary school gains in the post-high school lives of low-income students and highlight shortcomings of traditional colleges in serving this population.
Enhanced Hydrate Inhibitors: Powerful Synergism with Glycol Ethers

Laboratory tests in which gas hydrates were formed at 4 °C and 1000 psig in a 300 mL stirred cell show that the performance of kinetic hydrate inhibitors, including VC-713, PVCL, and VCL/VP copolymers, is greatly improved by the addition of less than 1 wt % of certain glycol ethers in the water or saltwater phases. For example, the hydrate induction time with 0.5 wt % VC-713 in seawater increased from 40 min to over 1200 min with the addition of 0.75 wt % 2-butoxyethanol. The most effective glycol ethers tested had either three or four carbon atoms in the alkoxy group. Lower homologs did not seem to have an effect, and higher homologs were insoluble in saltwater. The glycol ethers did not inhibit hydrates (at these low concentrations) without the polymer present.
Factors That Are Related To Bronchitis In Employees In The Cement Warehouse Unit Ambon City

Respiratory system disorders are a major cause of morbidity and mortality. Respiratory system disorders include infectious and non-communicable diseases. Acute bronchiolitis is inflammation of the bronchioles which is characterized by shortness of breath, wheezing, and pulmonary hyperinflation. Cement dust is one of the factors causing Chronic Obstructive Pulmonary Disease (COPD) that enters through breathing (inhalation). There are 2 types of Chronic Obstructive Pulmonary Disease caused by exposure to cement dust namely, chronic bronchitis and emphysema. Cross sectional, which is a study to study the dynamics of correlation between risk factors and impacts or effects, by observing or collecting data at the same time (point time approach). In this cross sectional study the researcher wanted to find out the relationship between risk factors and effects or effects by taking a momentary measurement. Thus a cross sectional study is to assess risk factors in the event of an effect. Measurement of independent variables and dependent variables is done only once, namely at the same time The average age of UPS employees PT. Semen Tonasa Gudang Arang Ambon City year 2020 is 36.1 years with the youngest age is 20 years and the oldest age is 53 years, Minimum respondent's service period is 1 year and maximum is 9 years, with a minimum length of work kerja 8 hours of work and a maximum of 10 hours of work . For the average respondent's body height is 61.5 kg, with a minimum of 47 kg and a maximum of 83 kg, while for the average body weight of the respondent is 162.9 cm with a maximum of 145 and a maximum of 173 cm. The results of the measurement of cement dust levels above show that: 38 employees (95%) work in work areas that have a dust content> NAB, ie in Production 1 there are 19 people (47.5%) with cement dust levels of 7.58 mg / m3 , Production area 2 there are 19 employees (47.5%) with cement dust content of 7.25 mg / m3, while in the parking lot there are 2 employees namely 2 security (5%) who work with dust content NAV and has the potential to cause lung function disorders resulting in bronchitis.
Institutions and Female Entrepreneurial Activity in Latin-America (Instituciones Y Actividad Emprendedora Femenina En América Latina)

English Abstract: The purpose of this paper is to analyze the factors that influence female entrepreneurial activity in the context of Latin America, using the institutional economics as a theoretical framework –North’s approach. The empirical research uses Latin-American panel data (Global Entrepreneurship Monitor) covering a-six-years period (2008-2013). We found that informal institutions have a more statistically significant activity on women´s entrepreneurial activity in the region. Results also showed that formal institutions have a negative influence in promoting female entrepreneurial activity. Spanish Abstract: El proposito de este documento es analizar los factores que influyen en la actividad empresarial femenina en el contexto de America Latina, utilizando la economia institucional como un marco teorico: el enfoque de North. La investigacion empirica utiliza datos de panel latinoamericanos (Global Entrepreneurship Monitor) que cubren un periodo de seis anos (2001-2013). Encontramos que las instituciones informales tienen una mayor significancia estadistica en la actividad empresarial femenina en la region. Asimismo, los resultados tambien nos indican que las instituciones formales tienen una influencia negativa en la promocion de la actividad empresarial femenina.
Categorization Effects in Capital Markets: Evidence From Unicorn IPOs

We use the introduction of the Unicorn nomenclature to reference venture-backed firms with valuations in excess of $1 billion to examine how firm categorization influences investor demand and retail trade activity during IPO price formation. We predict and find evidence to suggest that the positive appeal associated with an IPO firm’s Unicorn categorization increases IPO investor demand, as evidenced by the firm’s shares pricing above the proposed IPO pricing range and experiencing higher first-day returns relative to an entropy-matched sample of control firms. Adopting a structural-equation methodology that considers explicitly the sequence of IPO price formation, we also show that Unicorn categorization is informative for understanding retail trade activity both directly and indirectly through the mediating effects of news coverage. We also show that Unicorn categorization relates negatively to post-IPO stock performance, and that Unicorn categorization increases the sensitivity of post-IPO stock performance to pre-IPO profitability. These findings, taken together, provide evidence that categorization hides category members’ individual idiosyncrasies and causes them to assume the category’s affective tone.
Prevalence and associated risk factors of brucellosis in sheep and goat from South Omo Zone, Ethiopia

Brucellosis is known as a highly contagious zoonotic bacterial disease, with a significant effect on the livestock industry. It is caused by several species of cocco-bacilli Gram-negative bacteria from the Genus Brucella, and distributed worldwide including Ethiopia. However, there was a scarcity of epidemiological data on its occurrence in pastoral areas. A cross-sectional investigation was performed from September 2018 to June 2019, to estimate the seroprevalence of brucellosis and to characterized main Brucella isolates infecting small ruminants in two randomly selected pastoral districts of the South Omo Zone, Ethiopia. A pre-tested questionnaire was used and collected data were subjected to statistical analyses (multivariate logistic regression). For the serological test, blood samples were drawn from a total of 124 small ruminants with a history of abortion. Subsequently, 30 vaginal swabs were sampled from seropositive animals for Brucella isolation. All sera were first analyzed serologically bya modified Rose Bengal Plate Test (mRBPT) and Brucellaseropositivity was further confirmed by Complement Fixation Test (CFT). The brucellosis seroprevalence among small ruminants with a history of abortion was 21% (26/124; 95% CI: 0.14 - 0.28). Multivariable logistic regression analysis showed that the main risk factors related to Brucella spp. infections were history of abortion (OR: 0.28, 95% CI: 0.18 - 0.43) and parity numbers (OR: 0.20, 95% CI: 0.059 - 0.72). Brucella spp. were also isolated from 5 (16.7%) of the 30 vaginal swabs cultured on Brucella Selective Agar. The isolates were identified as B. melitensis based on biochemical and bacteriological culture results. In conclusion, this study revealedthehigh prelance of brucellosis in small ruminants in the studied area. Therefore, regular testing of breeding animals is necessary to reduce brucellosis and its economic impact in the region.
Lignin pyrolysis products, lignans, and resin acids as specific tracers of plant classes in emissions from biomass combustion

Biomass smoke aerosols contain thermally unaltered and partially altered biomarker compounds from major vegetation taxa. These compounds range from C_8 to C_(31) and include phytosterols, lignans, phenolic products from lignin, and diterpenoids from resins. Certain of the higher molecular weight biomarkers are vaporized from the parent plant material and subsequently condense unaltered into the particle phase. Other compounds undergo pyrolytic alteration and possibly dimerization. In both cases it is possible to assign many of these compounds to the plant taxa of the unburned fuel. The diterpenoids are good indicators for smoke from burning of gymnosperm wood. The relative distribution of the OH/OCH_3 substituent patterns on the phenolic products indicates the plant class of the biomass that was burned. Application of these relationships to the interpretation of ambient smoke aerosols may permit further evaluation of the sources that contribute to regional biomass burning.
Sport, the Natural Environment, and Sustainability

Given the growing body of research pertaining to sport, the natural environment and sustainability, it is an appropriate time to review the orientation and findings of this work, and to identify further avenues for research. This is especially so given the vast amount of literature published across a range of disciplines that document the evidence of significant change to the natural environment on a global scale. Such environmental issues include the multi-dimensional problem of anthropogenic climate change which has led to a complex global web of policy, legislative, commercial and organisational responses, and that of itself has been the subject of a vast body of multi-disciplinary research. In the field of sport, relatively few studies have examined the impact of sport on the natural environment, or the environmental sustainability of current sport management practices. Further, an even smaller body of work has investigated the impact of environmental change on sport. This chapter concludes with a discussion of research questions that reflect gaps in the literature that may guide future research efforts.
Evaluating the Potential and Challenges of an Uncertainty Quantification Method for Long Short‐Term Memory Models for Soil Moisture Predictions

Recently, recurrent deep networks have shown promise to harness newly available satellite‐sensed data for long‐term soil moisture projections. However, to be useful in forecasting, deep networks must also provide uncertainty estimates. Here we evaluated Monte Carlo dropout with an input‐dependent data noise term (MCD+N), an efficient uncertainty estimation framework originally developed in computer vision, for hydrologic time series predictions. MCD+N simultaneously estimates a heteroscedastic input‐dependent data noise term (a trained error model attributable to observational noise) and a network weight uncertainty term (attributable to insufficiently constrained model parameters). Although MCD+N has appealing features, many heuristic approximations were employed during its derivation, and rigorous evaluations and evidence of its asserted capability to detect dissimilarity were lacking. To address this, we provided an in‐depth evaluation of the scheme's potential and limitations. We showed that for reproducing soil moisture dynamics recorded by the Soil Moisture Active Passive (SMAP) mission, MCD+N indeed gave a good estimate of predictive error, provided that we tuned a hyperparameter and used a representative training data set. The input‐dependent term responded strongly to observational noise, while the model term clearly acted as a detector for physiographic dissimilarity from the training data, behaving as intended. However, when the training and test data were characteristically different, the input‐dependent term could be misled, undermining its reliability. Additionally, due to the data‐driven nature of the model, data noise also influences network weight uncertainty, and therefore the two uncertainty terms are correlated. Overall, this approach has promise, but care is needed to interpret the results.