Miracle-dz/UniFAR-FTUs huggingface dataset:
Cultural diversity and group dynamics in a professional women’s volleyball team

Abstract In this study, we explored athletes’ perceptions of cultural diversity regarding teammate interactions and team functioning. Specifically, we explored cultural diversity in relation to national and racio-ethnic diversity. A constructivist qualitative case study approach was employed with a professional women’s volleyball team comprising 11 athletes (Mage = 27, SD = 3.13) representing six nationalities and four racio-ethnicities. The athletes completed demographic and social network questionnaires intended to contextualize our case and to inform follow-up semi-structured interviews. The interviews involved conversations pertaining to team composition, member interactions, and team functioning. Generally, the results indicated that within this professional team, players’ perceptions of cultural diversity were mainly formed around subgroups and perceptions of dissimilarity between the self and the team. The subgroups were largely based on nationality and shared collective experiences with national stereotypes. The athletes also discussed factors such as language and various task and socially related behaviors associated with cultural diversity that impacted teammate interactions and the social dynamic within the team. Our results can serve to guide athletes and coaches interested in capitalizing on the strengths of multicultural professional sport teams. Lay summary: We examined perceived cultural diversity (i.e., national and racio-ethnic) embedded within a multicultural context of a professional women’s volleyball team. Participants described a natural divide based on nationalities, and how individual behaviors matched their perceptions of national stereotypes. Athletes were generally hesitant to discuss cultural diversity and positioned the topic as “good under certain conditions. ” IMPLICATIONS FOR PRACTICE The results from this research can help team managers and coaches to consider the impact that cultural diversity can have on team functioning and recognize the potential for the formation of national subgroups and biased perceptions of teammates’ behaviors. Our findings can reiterate to applied sport psychology professionals and coaches the importance of purposefully considering players’ perceptions of the cultural diversity within a team to identify ways to benefit from their team’s composition.
Outcome of COVID-19 Patients Presented with Gastrointestinal and Hepatic Manifestations

Background. COVID-19 is rapidly spreading as a global pandemic disease that affects mortality, morbidity, and economic recession worldwide including Myanmar. This study is aimed at investigating the prevalence and temporal nature of gastrointestinal and hepatic manifestations as well as their association with composite clinical endpoints in patients with COVID-19. Method. This was a retrospective hospital-based cohort study conducted on confirmed COVID-19 patients who were admitted to two designated COVID-19 hospitals: DSLH and No. (22/100) MH, Yangon, Myanmar, from June 1, 2021, to August 31, 2021. Data related to patients’ demographics, clinical characteristics, and clinical outcomes were abstracted manually through individual hospital records. Results. Out of the 241 patients recruited, 68 (28.2%) of the patients had GI symptoms. Ageusia/hypogeusia and diarrhea are the most common symptoms at 41.3% and 28.3%, respectively. Abnormal liver chemistries at admission are found in 52.7% of total patients. Mortality is 12.9% (31/241). Patients with abnormal liver chemistry are older ( p < 0.001 ), unvaccinated or incompletely vaccinated ( p = 0.04 ), associated comorbidities ( p = 0.019 ), leukocytosis ( p < 0.001 ), lymphopenia ( p = 0.033 ), hypoalbuminemia ( p < 0.001 ), higher INR ( p < 0.001 ), and longer HDU stay ( p < 0.001 ) and higher mortality ( p < 0.001 ). Conclusion. COVID-19-infected patients with abnormal liver chemistry are found to have worse clinical outcomes, although no significant association is found in patients with digestive symptoms. More attention should be given to this group of patients in the next coming wave.
Light hadron production in Bc → B(*)s + X decays

This article is devoted to B c → B (*) s + nπ decays with n = 1, 2, 3, 4. In the framework of factorization theorem the branching fractions of these processes can be written as a convolution of the hard part, describing B c → B (*) s W vertices, and spectral functions, that correspond to the transition of the virtual W-boson into a final π-meson system. These functions were obtained from the fit of experimental data on τ-lepton decay and electron-positron annihilation. Using different sets of B c → B (*) s W decay form-factors we present branching fractions and distributions over the invariant mass of the final π-meson system.
One-Loop N = 4 Super Yang-Mills Scattering Amplitudes to All Orders in the Dimensional Regularization Parameter

In this paper we discuss in detail computational methods and new results for one-loop virtual corrections to N = 4 super Yang-Mills scattering amplitudes calculated to all orders in epsilon, the dimensional regularization parameter. It is often the case that one-loop gauge theory computations are carried out to order epsilon^0, since higher order in epsilon contributions vanish in the small epsilon limit. We will show, however, that the higher order contributions are actually quite useful. In the context of maximally supersymmetric Yang-Mills, we consider two examples in detail to illustrate our point. First we will concentrate on computations with gluonic external states and argue that N = 4 supersymmetry implies a simple relation between all-orders-in-epsilon one-loop N = 4 super Yang-Mills amplitudes and the first and second stringy corrections to analogous tree-level superstring amplitudes. For our second example we will derive a new result for the all-orders-in-epsilon one-loop superamplitude for planar six-particle NMHV scattering, an object which allows one to easily obtain six-point NMHV amplitudes with arbitrary external states. We will then discuss the relevance of this computation to the evaluation of the ratio of the planar two-loop six-point NMHV superamplitude to the planar two-loop six-point MHV superamplitude, a quantity which is expected to have remarkable properties and has been the subject of much recent investigation. To make the presentation as self-contained as possible, we extensively review the prerequisites necessary to understand the main results of this work.
Charging analysis of the SCATHA satellite

Abstract : We describe here a detailed model of the geometrical, material, and electrical properties of the SCATHA satellite for use with the NASA Charging Analyzer Program (NASCAP). Charging calculations in an intense magnetospheric substorm environment demonstrate that: long booms can significantly perturb the potentials near the spacecraft, and discharging by sunlight or by active control can cause serious time-dependent differential charging problems. (Author)
Association between Renal Function at Admission and COVID-19 in-Hospital Mortality in Southern Italy: Findings from the Prospective Multicenter Italian COVOCA Study

Background. Evidence has shown a close association between COVID-19 infection and renal complications in both individuals with previously normal renal function and those with chronic kidney disease (CKD). Methods. The aim of this study is to evaluate the in-hospital mortality of SARS-CoV-2 patients according to their clinical history of CKD or estimated glomerular filtration rate (eGFR). This is a prospective multicenter observational cohort study which involved adult patients (≥18 years old) who tested positive with SARS-CoV-2 infection and completed their hospitalization in the period between November 2020 and June 2021. Results. 1246 patients were included in the study, with a mean age of 64 years (SD 14.6) and a median duration of hospitalization of 15 days (IQR 9–22 days). Cox’s multivariable regression model revealed that mortality risk was strongly associated with the stage of renal impairment and the Kaplan–Meier survival analysis showed a progressive and statistically significant difference (p < 0.0001) in mortality according to the stage of CKD. Conclusion. This study further validates the association between CKD stage at admission and mortality in patients hospitalized for COVID-19. The risk stratification based on eGFR allows clinicians to identify the subjects with the highest risk of intra-hospital mortality despite the duration of hospitalization.
Virtual Reality—A Supplement to Posturography or a Novel Balance Assessment Tool?

Virtual reality (VR) is a well-established technology in medicine. Head-mounted displays (HMDs) have made VR more accessible in many branches of medical research. However, its application in balance evaluation has been vague, and comprehensive literature on possible applications of VR in posture measurement is scarce. The aim of this review is to conduct a literature search on the application of immersive VR delivered using a head-mounted display in posturographic measurements. A systematic search of two databases, PubMed and Scopus, using the keywords “virtual reality” and “posturography,” was performed following PRISMA guidelines for systematic reviews. Initial search results returned 89 non-duplicate records. Two reviewers independently screened the abstracts. Sixteen papers fulfilled the inclusion criteria and none of the exclusion criteria and were selected for complete text retrieval. An additional 16 records were identified from citation searching. Ultimately, 21 studies were included in this review. virtual reality is often used as additional visual stimuli in static and dynamic posturography evaluation. Only one study has attempted to evaluate a VR environment in a head-mounted display as an independent method in the assessment of posture. Further research should be conducted to assess HMD VR as a standalone posturography replacement.
How is flood risk explained in the subject of geography in Spanish schools? An approach based on social science textbooks (primary education)

Abstract The main natural risk in the Mediterranean region is flooding. Therefore, in Spain, explaining this issue in Primary Education classrooms of Social Sciences should be a priority and is established as such in the current curriculum. The aims of this study are to carry out an analysis of the contents on flood risk included in the Social Science textbooks (3rd cycle; 5th and 6th) of Primary Education of the leading publishers used in Spain (Anaya, Bromera, Santillana, SM and Vicens Vives), in terms of: (1) the meaning of this phenomenon; (2) the causes and consequences of floods; and (3) an analysis of the images (catastrophism and territory location) that are included in the textbooks to explain these events. The results indicate that there is no complete definition of flood risk provided in these textbooks; the information is mainly related to the physical factor (atmospheric event). There is no specific mention of how human beings affect risk (vulnerability and exposure factor). With respect to the causes of floods, the analysis finds confusion in the explanations from the different textbooks and publishers, and the images that are included are sensationalist, highlighting the catastrophism without indicating to which territory it refers.
Foundations of Wavelet Networks and Applications

PART A MATHEMATICAL PRELIMINARIES Sets Functions Sequences and Series Complex Numbers Linear Spaces Matrices Hilbert Spaces Topology Measure and Integral Fourier Series Exercises WAVELETS Introduction Dilation and Translation Inner Product Haar Wavelet Multiresolution Analysis Continuous Wavelet Transform Discrete Wavelet Transform Fourier Transform Discrete Fourier Transform Discrete Fourier Transform of Finite Sequences Convolution Exercises NEURAL NETWORKS Introduction Multilayer Perceptrons Hebbian Learning Competitive and Kohonen Networks Recurrent Neural Networks WAVELET NETWORKS Introduction What Are Wavelet Networks Dyadic Wavelet Network Theory of Wavelet Networks Wavelet Network Structure Multidimensional Wavelets Learning in Wavelet Networks Initialization of Wavelet Networks Properties of Wavelet Networks Scaling at Higher Dimensions Exercises PART B RECURRENT LEARNING Introduction Recurrent Neural Networks Recurrent Wavenets Numerical Experiments Concluding Remarks Exercises SEPARATING ORDER FROM DISORDER Order Within Disorder Wavelet Networks: Trading Advisors Comparison Results Conclusions Exercises RADIAL WAVELET NEURAL NETWORKS Introduction Data Description and Preparation Classification Systems Results Conclusions Exercises PREDICTING CHAOTIC TIME SERIES Introduction Nonlinear Prediction Wavelet Networks Short-Term Prediction Parameter-Varying Systems Long-Term Prediction Conclusions Acknowledgements Appendix Exercises CONCEPT LEARNING An Overview An Illustrative Example of Learning Introduction Preliminaries Learning Algorithms Summary Exercises BIBLIOGRAPHY INDEX
Ensuring Earthquake-Proof Development in a Swiftly Developing Region through Neural Network Modeling of Earthquakes Using Nonlinear Spatial Variables

Northern Pakistan, the center of major construction projects due to the commencement of the China Pakistan Economic Corridor, is among the most earthquake-prone regions globally owing to its tectonic settings. The area has experienced several devastating earthquakes in the past, and these earthquakes pose a severe threat to infrastructure and life. Several researchers have previously utilized advanced tools such as Machine Learning (ML) and Deep Learning (DL) algorithms for earthquake predictions. This technological advancement helps with construction innovation, for instance, by designing earthquake-proof buildings. However, previous studies have focused mainly on temporal rather than spatial variables. The present study examines the impact of spatial variables to assess the performance of the different ML and DL algorithms for predicting the magnitude of short-term future earthquakes in North Pakistan. Two ML methods, namely Modular Neural Network (MNN) and Shallow Neural Network (SNN), and two DL methods, namely Recurrent Neural Network (RNN) and Deep Neural Network (DNN) algorithms, were used to meet the research objectives. The performance of the techniques was assessed using statistical measures, including accuracy, information gain analysis, sensitivity, specificity, and positive and negative predictive values. These metrics were used to evaluate the impact of including a new variable, Fault Density (FD), and the standard seismic variables in the predictions. The performance of the proposed models was examined for different patterns of variables and different classes of earthquakes. The accuracy of the models for the training data ranged from 73% to 89%, and the accuracy for the testing data ranged from 64% to 85%. The analysis outcomes demonstrated an improved performance when using an additional variable of FD for the earthquakes of low and high magnitudes, whereas the performance was less for moderate-magnitude earthquakes. DNN, and SNN models, performed relatively better than other models. The results provide valuable insights about the influence of the spatial variable. The outcome of the present study adds to the existing pool of knowledge about earthquake prediction, fostering a safer and more secure regional development plan involving innovative construction.
Mapping research output on library and information science research domain in South Africa: a bibliometric visualisation

Purpose The purpose of this study is to examine the research output on “library and information science” (LIS) research domain in South Africa. It also highlights the top LIS research organisations, authors, journals, collaboration types and commonly used keywords. This research will aid in the identification of emerging concepts, trends and advances in this subject. Design/methodology/approach The Web of Science (WoS), an indexing and abstracting database, served as a tool for bibliographical data. By applying advanced search features, the authors curated data from 1989 to 2021 through the WoS subject category WC = (Information Science & Library Science), limiting the scope to the region, CU = (South Africa), which resulted in 1,034 articles. Moreover, the research focuses on science mapping using the R package for reliable analysis. Findings The findings reveal that the publications have considerably grown over time, indicating significant attention among researchers in LIS. The findings indicate the critical operator’s performance, existing thematic choices and subsequent research opportunities. The primary topical fields of study that emerged from the bibliometric analysis are impact, information, science, model, management, technology, knowledge and education. Pouris and Fourie are the most productive citations, h-index and g-index. The influential institute was The University of Pretoria. Research limitations/implications The use of the WoS database for data collecting limits this study. Because the WoS was the only citation and abstract database used in this study, bibliometric investigations using other citation and abstract databases like “Scopus”, “Google Scholar” and “Dimension” could be interesting. This study presented a bibliometric summary; nevertheless, a systematic and methodical examination of highly cited LIS research publications could throw more light on the subject. Practical implications This paper gives valuable information about recent scientific advancements in the LIS and emerging future academic subject prospects. Furthermore, this research work will serve as a reference for researchers in various areas to analyse the evolution of scholarly literature on a particular topic over time. Originality/value By identifying the standard channels of study in the LIS discipline, and the essential journals, publications, nations, institutions, authors, data sources and networks in this subject, this bibliometric mapping and visualisation provide new perspectives into academic performance. This paper also articulates future research directions in this realm of knowledge. This study is more rigorous and comprehensive in terms of the analytical procedures it uses.
Phase Lag Index of Resting-State EEG for Identification of Mild Cognitive Impairment Patients with Type 2 Diabetes

Mild cognitive impairment (MCI) is one of the important comorbidities of type 2 diabetes mellitus (T2DM). It is critical to find appropriate methods for early diagnosis and objective assessment of mild cognitive impairment patients with type 2 diabetes (T2DM-MCI). Our study aimed to investigate potential early alterations in phase lag index (PLI) and determine whether it can distinguish between T2DM-MCI and normal controls with T2DM (T2DM-NC). EEG was recorded in 30 T2DM-MCI patients and 30 T2DM-NC patients. The phase lag index was computed and used in a logistic regression model to discriminate between groups. The correlation between the phase lag index and Montreal Cognitive Assessment (MoCA) score was assessed. The α-band phase lag index was significantly decreased in the T2DM-MCI group compared with the T2DM-NC group and showed a moderate degree of classification accuracy. The MoCA score was positively correlated with the α-band phase lag index (r = 0.4812, moderate association, p = 0.015). This work shows that the functional connectivity analysis of EEG may offer an effective way to track the cortical dysfunction linked to the cognitive deterioration of T2DM patients, and the α-band phase lag index may have a role in guiding the diagnosis of T2DM-MCI.
Asteroid families - Physical properties and evolution

Asteroid families are considered to be fragments from collisional destruction of precursor bodies. However, results available on the inferred mineralogy, size distributions, and spins of family members do not confirm the expectations of the traditional model. Only a handful of nearly 100 proposed families, most of them populous, have distributions of inferred mineralogies consistent with simple cosmochemical models for parent bodies. It is suggested that most catastrophic collisions may not result in observable families, but rather in a spray of smaller particles, thus accounting for the small number of confirmed and consistent families, despite evidence for extensive collisional evolution of asteroids.
Assessing emotional, empathic and coping skills in Spanish undergraduates in Health Sciences and Social Sciences

Background: Higher education is considered to be one of the phases in the life cycle that produces psychological distress and academic pressure. The aim of the study was to assess to assess the emotional, empathic and coping skills of undergraduate students of Health Sciences and Social Sciences undergraduates using an explorative approach in a cross sectional study. Methods: A sample of 693 first-to-fourth-year students enrolled in different degree courses. We used an “ad hoc” questionnaire, the Trait Meta-Mood Scale (TMMS-24), Trait Meta-Mood Scale (TMMS-24), The Interpersonal Reactivity Index (IRI) and Brief COPE. Results: We found higher scores in capacity for empathy using the IRI, in emotional intelligence by TMMS-24 and a good coping style and adaptive strategies measured on the COPE, however, emotion regulation scores in DERS were medium. We found interesting relationships between female, first-year course, sport, anxiety and degree course in empathy, emotional intelligence, adaptative strategies and emotional regulation. Conclusions: Preventive and train measures in emotional and psychosocial resources are needed in higher education to achieve the highest possible level of psycho- emotional well-being. Keywords: emotional intelligence, empathy, coping skills, subjective well-being, students.
Constraining the Accretion Flow in Sgr A* by General Relativistic Dynamical and Polarized Radiative Modeling

Abstract We briefly summarize the method of simulating Sgr A* polarized sub-mm spectra from the accretion flow and fitting the observed spectrum. The dynamical flow model is based on three-dimensional general relativistic magneto hydrodynamic simulations. Fully self-consistent radiative transfer of polarized cyclo-synchrotron emission is performed. We compile a mean sub-mm spectrum of Sgr A* and fit it with the mean simulated spectra. We estimate the ranges of inclination angle θ=42°–75°, mass accretion rate Ṁ=(1.4-7.0)×10−8M⊙year−1, and electron temperature Te=(3–4)×1010K at 6M. We discuss multiple caveats in dynamical modeling, which must be resolved to make further progress.