Miracle-dz/UniFAR-FTUs huggingface dataset:
A descriptive-comparative study to analyse physical activity levels and patterns during structured movement sessions in early childhood education: special focus on the role of teachers

Because teacher behaviour and children’s gender are correlates of young children’s physical activity during structured movement sessions in early years, teachers should develop effective teaching strategies to promote physical activity, with a special focus on girls. Following a descriptive-comparative study, the aims of this research were: (a) to analyse the physical activity levels and patterns during two structured movement sessions under the framework of experiential psychomotricity using accelerometry and direct observation methods; (b) to evaluate the impact of a formalised short intervention that focuses on physical activity during structured movement sessions; and (c) to explore young children’s experience of movement during both sessions using drawings. Our major findings were as follows: (a) the intervention had a positive impact on the physical activity levels and patterns in young girls during a structured movement session; (b) the teacher’s active role during sessions could have a positive impact on the physical activity levels favouring more diverse group compositions, especially with the girls; (c) the graphic representation act as a source of knowledge that help both the teacher and the child to make sense of their movement experience. Our results are useful for understanding how the teacher’s role during experiential psychomotricity could promote physical activity in young children.
Saudi Higher Education Student Acceptance of Mobile Learning

This research defines the mobile learning (m-learning) acceptance and outlines the critical factors affecting m-learning adoption among higher education students in Saudi universities. This research employed qualitative and quantitative approaches with 683 randomly sampled student participants from public and private universities. This research used questionnaire for collecting data, and the research framework was based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The model was used to outline the factors affecting student intention to use m-learning. The output of statistical analysis showed high student acceptance of m-learning.
Ultra-short heart rate variability and Poincaré plots

The short-term heart rate variability records of 5 minutes are currently considered very extensive compared to other indicators of health and well-being of people, such as body weight, blood glucose, blood pressure, etc. To find records of indicators less than 5 minutes, ultra-short heart rate variability, equivalent to the short-term heart rate variability, samples registers of 5 minutes is used to extract SS (stress score index) and S / PS (sympathetic/parasympathetic ratio) from the Poincaré diagram and correlate with the time and frequency domain of a group of subjects. To do this, the electrocardiographic signals were recorded for 300 seconds at rest then, the cardiotachograms (RR series) were calculated and used as a gold standard, and cardiotachogram were also calculated at intervals of 60, 90, 120, 180, and 240 seconds to perform the analysis of concordance with the gold standard. We use concordance analysis: Spearman, Bland, and Altman correlation, and Cliff's delta. This study set out to, that the indicator S/PS -- proposed for the analysis of the autonomic balance -- could be regarded as an alternative for traditionally be used LF/HF (Low Frequency / High Frequency) of the frequency domain or SD21 (SD2 / SD1) of the graphic Poincaré domain. In addition, the SS times within records of 120 seconds, were equivalent to those of short-term HRV and S/PS of 90 seconds. This finding, while preliminary, suggests that a reduction in measurement times will make it possible to increase the use of heart rate variability analysis. In future investigations, it might be possible to use these indicators in different populations and use of different pre-processing methods.
Automated configuration and deployment of applications in heterogeneous cloud environments

Cloud computing is a service-oriented approach to distributed computing that provides users with resources at varying levels of abstraction. Cloud infrastructures provide users with access to self-service virtual machines that they can customize for their applications. Alternatively, cloud platforms offer users a fully managed programming stack that users can deploy their applications to and scales without user intervention. Yet challenges remain to using cloud computing systems effectively. Cloud services are offered at varying levels of abstraction, meter based on vendor-specific pricing models, and expose access to their services via proprietary APIs. This raises the barrier-to-entry for each cloud service, and encourages vendor lock-in. The focus of our research is to design and implement research tools to mitigate the effects of these barriers-to-entry. We design and implement tools that service users in the web services domain, high performance computing domain, and general-purpose application domain. These tools operate on a wide variety of cloud services, and automatically execute applications provided by users, so that the user does not need to be conscientious of how each service operates and meters. Furthermore, these tools leverage programming language support to facilitate more expressive workflows for evolving use cases. Our empirical results indicate that our contributions are able to effectively execute user-provided applications across cloud compute services from multiple, competing vendors. We demonstrate how we are able to provide users with tools that can be used to benchmark cloud compute, storage, and queue services, without needing to first learn the particulars of each cloud service. Additionally, we are able to optimize the execution of user-provided applications based on cost, performance, or via user-defined metrics.
Resolving disagreements: a conversation analytic study on disagreements in completion sequences among EFL learners

ABSTRACT Anticipatory completions can be a potential place in which the second speaker expresses disagreement with the first speaker. ‘Doing disagreement’ is a significant feature of group work interaction, and resolving such disagreements can pose an interactional challenge for students in classroom contexts (Sharma 2012). Examining disagreement episodes can help teachers and students to understand the practices that participants employ to maintain their stances, contest their interlocutors’ standpoints, and close disagreements. This study sets out to discover the interactional patterns advanced EFL participants use in disagreement episodes in post-completion sequences that do and do not bring disagreements to a close. We draw on Conversation Analysis to describe 50 hours of interactions, a total of 20 video-recorded English discussion task sessions collected over 10 weeks from 15 Farsi-speaking advanced EFL students assigned to work in groups of three. The results show that acts to close the disagreement sequence include: relinquishing a position by accepting the position maintained by another, or acknowledging the repair performed by another party. Disagreements are not resolved when the partners fail to accept the possibility of two or more positions or when the less knowledgeable speaker is oriented to disagreement. We conclude with implications for pedagogic practice.
Prevalence of Childhood Obesity by Country, Family Socio-Demographics, and Parental Obesity in Europe: The Feel4Diabetes Study

The Feel4Diabetes study recruited 12,193 children (age: 8.20 ±1.01 years) and their parents from six European countries as part of the broader attempt to prevent type 2 diabetes. The current work collected data pre-intervention to identify the prevalence of childhood obesity by country and describe its association with socio-demographic characteristics and parental obesity status. One in four children were overweight or obese, and one in four families had at least one obese parent. Multivariate logistic regression examined the associations between childhood obesity, family socio-demographics, and parental obesity status. Children had a higher chance of being overweight or obese if they were living in “low income” countries (OR: 2.11, 95% CI: 1.62, 2.74) and countries “under economic crisis” (OR: 2.48, 95% CI: 1.89, 3.24) compared to “high-income” countries; if their fathers completed fewer than nine years of education (OR: 2.16, 95% CI: 1.54, 3.05) compared to children whose fathers had a higher level (>14 years) of education; and if one (OR: 2.46, 95% CI: 0.32, 0.62) or both of their parents (OR: 6.83, 95% CI: 5.15, 9.05) were obese. Future childhood obesity prevention-programs should target the whole family while taking into consideration the socioeconomic and weight status of parents. Future research should examine these associations in more countries and in socio-demographically diverse populations in order to facilitate the generalisability of the present study’s findings.
Change in Disability Associated with Psychological Distress among Internally Displaced Persons in Central Sudan

Individuals with disabilities are particularly vulnerable in conflict settings, and a high rate of psychopathology is well documented among persons with disabilities. The objective of this study was to explore the change in disability prevalence among IDPs in two settlement areas in central Sudan and the association between disability and psychological distress. In this one-year follow-up study, 1549 IDPs were interviewed twice using the General Health Questionnaire (GHQ) to investigate emotional distress. Disability was measured using the Washington Group Short Set. Households were randomly selected using the community health center as the starting point. All household members above eighteen years of age in the sampled households were interviewed. There is an increase in disability prevalence among internally displaced persons over time, associated with rural residency and poverty, low education, unemployment, IDP status, originating from western Sudan, young age, male gender, and being married. Disability was further found to be associated with psychological distress. Disability among displaced persons should be considered as a risk factor for increase in psychopathological disorders and is closely related to poverty. The study is limited to individual-level data and does not incorporate relevant environmental variables that may have influenced the changes in disability rates.
Reasons in the Styles of Life Smoking in Adolescents from the Covid in Cuba

Background: The characterization in adolescent’s smokers as prevention from the medical sciences is one of the lines of the work team in the consultation of mental health. Objective: To characterize the reasons in the styles of life smoking in adolescents from the Covid in Cuba. The investigation embraced one period from January 2020 to September 2021. Method: A descriptive study of traverse court was used. Registered to 41 students for sampling intentional non probabilistic, of a universe of 80 adolescent students. It was used empiric methods; clinical histories, interviews structured and the questionnaire. Results: It was evidence that toxic styles of life exist and the male sex prevailed Conclusion: Of why the most frequent reasons began to smoke it was the relaxation and the pressure group given by a code of companionship
Optimum Feature and Classifier Selection for Accurate Urban Land Use/Cover Mapping from Very High Resolution Satellite Imagery

Feature selection to reduce redundancies for efficient classification is necessary but usually time consuming and challenging. This paper proposed a comprehensive analysis for optimum feature selection and the most efficient classifier for accurate urban area mapping. To this end, 136 multiscale textural features alongside a panchromatic band were initially extracted from WorldView-2, GeoEye-3, and QuickBird satellite images. The wrapper-based and filter-based feature selection were implemented to optimally select the best ten percent of the primary features from the initial feature set. Then, machine leaning algorithms such as artificial neural network (ANN), support vector machine (SVM), and random forest (RF) classifiers were utilized to evaluate the efficiency of these selected features and select the most efficient classifier. The achieved optimum feature set was validated using two other images of WorldView-3 and Pleiades. The experiments revealed that RF, particle swarm optimization (PSO), and neighborhood component analysis (NCA) resulted in the most efficient classifier and wrapper-based and filter-based methods, respectively. While ANN and SVM’s process time depended on the number of input features, RF was significantly resistant to the criterion. Dissimilarity, contrast, and correlation features played the greatest contributing role in the classification performance among the textural features used in this study. These trials showed that the feature number could be reduced optimally to 14 from 137; these optimally selected features, alongside the RF classifier, can produce an F1-measure of about 0.90 for different images from five very high resolution satellite sensors for various urban geographical landscapes. These results successfully achieve our goal of assisting users by eliminating the task of optimal feature selection and classifier, thereby increasing the efficiency of urban land use/cover classification from very high resolution images. This optimal feature selection can also significantly reduce the high computational load of the feature-engineering phase in the machine and deep learning approaches.
Serum BDNF and Selenium Levels in Elite Athletes Exposed to Blows

Background and Objectives: The study aimed to investigate the combined acute and long-term effects of exposure to blows and exercise on serum BDNF (brain-derived neurotrophic factor) and selenium levels. Materials and Methods: Serum BDNF and selenium levels were determined in 40 male elite athletes before and after vigorous exercise (training match) with a probability of exposure to blows and in 10 sedentary men subjected to exercise (Astrand running protocol). Results: Serum BDNF levels were found 11.50 ± 3.50 ng/mL before exercise and 14.02 ± 3.15 ng/mL after exercise in the athlete group (p = 0.02), and 12.18 ± 4.55 ng/ mL and 11.74 ± 2.48 ng/ mL before and after exercise in the sedentary group, respectively (p = 0.873). Serum BDNF (pre-exercise, baseline) levels were slightly lower in the athlete group than those in the sedentary group (11.50 ± 3.50 and 12.18 ± 4.55 ng/mL, respectively, p = 0.796). Pre-exercise serum selenium levels in athletes were significantly higher compared to those of sedentary participants (130.53 ± 36.79 and 95.51 ± 20.57 µg/L, respectively, p = 0.011). There was no difference in selenium levels after exercise (124.01 ± 29.96 µg/L) compared to pre-exercise (130.53 ± 36.79 µg/L) in the athlete group (p = 0.386). Similarly, there was no difference in selenium levels after exercise (113.28 ± 25.51 µg/L) compared to pre-exercise (95.51 ± 20.57 µg/L) in the sedentary group (p = 0.251). Conclusions: BDNF results show that even if athletes are exposed to blows, they may be protected from the long-term effects of blows thanks to the protective effect of their non-sedentary lifestyle. Regular exercise may have a protective effect on maintaining serum selenium levels in athletes even exposed to blows chronically.
High performance motion control for cryogenic nanopositioning mechanisms: Application to the METIS Cold Chopper mechanism

This research investigates the application of advanced control algorithms to rotatable mirrors inside scientific astronomical telescopes. This does not apply to the typically large and heavy main mirror of the telescope but concerns a much smaller mirror in the optical path to the detector. Rotation of this mirror makes it possible to quickly alter the observation direction of the telescope without the need to rotate the complete instrument. During astronomical observations, very high positional stability and repeatability under the influence of different noise sources and disturbances, is absolutely necessary. This requires a lot of the control of these mechanisms. For example, for the Mid-Infrared E-ELT Imager and Spectrograph (METIS) Cold Chopper mechanism (MCC), which is the considered application, a positional stability requirement of 36 nanometer is specified. During this research a new hybrid control strategy has been developed. The application of this method to the chopper mechanism for the Heterodyne Instrument for the Far Infrared (HIFI), resulted in a significant performance improvement and shows the potential of this strategy. The hybrid control strategy forms an addition to the field of high performance motion control. The applicability of the hybrid controller to the MCC is however limited because of the unexpected presence of hysteresis in the mechanism. The use of a repetitive (self-learning) controller did result in the required performance and will be applied to the MCC mechanism.
An inherent curvature-compensated voltage reference using non-linearity of gate coupling coefficient

A novel current-mode voltage reference circuit which is capable of generating sub-1 V output voltage is presented. The proposed architecture exhibits the inherent curvature compensation ability. The curvature compensation is achieved by utilizing the non-linear behavior of gate coupling coefficient to compensate non-linear temperature dependence of base-emitter voltage. We have also utilized the developments in CMOS process to reduce power and area consumption. The proposed voltage reference is analyzed theoretically and compared with other existing methods. The circuit is designed and simulated in 180 nm mixed-mode CMOS UMC technology which gives a reference level of 246 mV. The minimum required supply voltage is 1 V with maximum current drawn of 9.24 μA. A temperature coefficient of 9 ppm/°C is achieved over −25 to 125 °C temperature range. The reference voltage varies by ±11 mV across process corners. The reference circuit shows the line sensitivity of 0.9 mV/V with area consumption of 100 × 110 μm2
Experiences of Disabled Older Adults in Tokyo’s Adult Day Care Centers during COVID-19—A Case Study

The COVID-19 pandemic resulted in social isolation among elderly people with disabilities. Adult daycare (ADC) is an important community care option for socialization among people with disabilities. However, their experiences with ADC remain underexplored. Thus, this study investigated the experiences of community-dwelling disabled elderly with ADC from the perspective of socialization. Four older women from Tokyo with disabilities, availing of one ADC service, were interviewed across two sessions between November 2020 and January 2021. The transcribed interviews and field notes were analyzed qualitatively. This yielded eight categories: two pertaining to context (“restricted social interaction outside of ADC”, “feeling simultaneously grateful and ashamed of oneself as a recipient of care services”), and six pertaining to experience with ADC (“take a catastrophic defensive posture in situations where one’s perception of value is shaken”, “express oneself positively to justify one’s daily life”, “have trouble knowing what to do”, “put oneself in a shaded exchange relationship”, “examine the value of elderly people in need of care in society”, and “savor regular contact with others”). Ensuring the use of ADC as a safe place for interaction while considering pandemic-related needs is important to develop policy and practical responses to restricted socialization during COVID-19.
The Role of the Microbiota-Gut-Brain Axis in the Development of Alzheimer’s Disease

Along with the increase in life expectancy in the populations of developed and developing countries resulting from better access and improved health care, the number of patients with dementia, including Alzheimer’s disease (AD), is growing. The disease was first diagnosed and described at the beginning of the 20th century. However, to this day, there is no effective causal therapy, and symptomatic treatment often improves patients’ quality of life only for a short time. The current pharmacological therapies are based mainly on the oldest hypotheses of the disease—cholinergic (drugs affecting the cholinergic system are available), the hypothesis of amyloid-β aggregation (an anti-amyloid drug was conditionally approved by the FDA in 2020), and one drug is an N-methyl-D-aspartate receptor (NMDAR) antagonist (memantine). Hypotheses about AD pathogenesis focus on the nervous system and the brain. As research progresses, it has become known that AD can be caused by diseases that have been experienced over the course of a lifetime, which could also affect other organs. In this review, we focus on the potential association of AD with the digestive system, primarily the gut microbiota. The role of diet quality in preventing and alleviating Alzheimer’s disease is also discussed. The problem of neuroinflammation, which may be the result of microbiota disorders, is also described. An important aspect of the work is the chapter on the treatment strategies for changing the microbiota, potentially protecting against the disease and alleviating its course in the initial stages.
Provenance of bauxite and clay deposits in the Carboniferous Benxi Formation, Western Henan, China: Constraints from U–Pb geochronology and regional geology

The bauxite and clay deposits of Western Henan, located in the southern part of the North China Craton (NCC), are rich reserves of bauxite ore, and the provenance of this bauxite has received much attention. In this study, X‐ray diffraction and detrital zircon U–Pb dating (using laser ablation–inductively coupled plasma–mass spectrometry) were applied to determine the source(s) of the bauxite in the Carboniferous Benxi Formation. Our data, combined with regional geological and geochemical observations, suggest that detrital zircons from the deposits with ages of ca. 457 Ma were derived mainly from Caledonian intermediate–acidic granitic rocks of the North Qinling Orogenic Belt (NQOB). Zircon grains with Precambrian ages of 2,713 to 549 Ma may have been derived from metamorphic rocks within the NQOB. The Benxi Formation bauxite in this area lacks late Palaeozoic zircons, which may be related to its location, as it is proximal to the NQOB but far from sources of late Palaeozoic zircons in the Inner Mongolia Uplift.
Effect of Pore Geometry on Nanoconfined Bulk-Gas Flow Behavior

In order to improve energy consumption structure in Guizhou province, China, the efficient development of shale gas becomes more and more important. However, the theoretical understanding, towards microscopic gas flow mechanism, is still weak and insufficient. Although many models have been established, one part of them fails to cover all flow mechanisms, and the other part contains several fitting parameters. Moreover, nanopores can be divided into circular pore and slit pore in accordance with pore geometry. For cylindrical nanopores, by fully comparing with the existed models, a new bulk-gas transport model is proposed by weight superposition of slip flow and Knudsen diffusion, in which weight factors are obtained by Wu’s model and Knudsen’s model, respectively. For slit pores, an analytical equation for bulk-gas flow is proposed as well, which is free of any fitting parameters. The reliability of the proposed models has been clarified. The impacts of reservoir pressure, pore scale, and gas flow mechanism on bulk-gas flow behavior in process of shale gas development are analyzed. It is found that gas transport capacity of slit nanopores is significantly higher than that of cylindrical nanopores at the same pore scale. For slit nanopores, the larger the aspect ratio, the stronger bulk-gas transmission capacity. As the established models are free of fitting parameters and can be applied into the entire K n range with sufficient accuracy, the research will greatly benefit shale gas development.