Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of plyometric training on measures of physical fitness in racket sport athletes: a systematic review and meta-analysis

Background Over the past decade, the popularity of racket sports has surged. Plyometric training (PT) has been the focus of extensive research because of the proven benefits it provides to athletes. However, there is a lack of systematic reviews and meta-analyses specifically evaluating the impact of PT on physical fitness metrics in racket sport athletes. This study aimed to conduct a comprehensive review and analysis of evidence derived from randomized controlled trials (RCTs) to evaluate the effects of PT on measures of physical fitness among racket sports athletes. Methods The electronic databases PubMed, Web of Science, SCOPUS, and SPORTDiscus were systematically searched up to June 2023 without placing any restrictions on the publication dates. The PICOS method was adopted to establish the inclusion criteria: (a) healthy athletes who participate in racket sports; (b) a PT program; (c) a control group; (d) assessment of physical fitness components pre- and post-PT; and (e) RCTs. The records’ methodological quality was assessed utilizing the Physiotherapy Evidence Database (PEDro) scale. The certainty in the evidence related to each outcome was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) assessment. A random-effects model was used to calculate effect sizes (ES; Hedges’ g) between experimental and control groups. Results There were 14 eligible studies of moderate-to-high-quality, involving 746 athletes in total. The results revealed small-to-moderate effects (p < 0.05) of PT on muscle power (ES = 0.46), muscle strength (ES = 0.50), sprint speed (ES = 0.45), change of direction ability (ES = 0.76), and reaction time (ES = 0.67), while no clear evidence was found on balance and flexibility. The training-induced changes in muscle power showed no significant difference (p > 0.05) between youth (ES = 0.72) and adults (ES = 0.40). There were also similar muscle power improvements (ES = 0.36–0.54 vs 0.38–0.56, all p > 0.05) for a length of ≤7 weeks with ≤14 total PT sessions vs >7 weeks with >14 total PT sessions, and ≤2 weekly sessions vs >2 sessions. No adverse effects were reported in the included studies regarding the PT intervention. The certainty of evidence varied from very low to moderate. Conclusions: Our findings demonstrated that PT has positive effects on important indices of physical fitness among athletes participating in racket sports. Future studies are required to clarify the optimal doses and examine interactions among training variables to further promote the physical fitness of this specific population.
Investigating Local Receive Arrays in tcMRgFUS System and Their Influence by Passive Antennas: A Simulation Study

Transcranial magnetic resonance-guided focused ultrasound (tcMRgFUS) revolutionizes non-invasive therapy by combining MRI and high-intensity focused ultrasound for precise thermal treatment. MRI scans play an essential role during tcMRgFUS treatment in that they are used to localize the target and monitor temperature. Using the body coil for MRI introduces imaging challenges, notably extremely low signal-to-noise ratio (SNR) and a distinct dark band in 3 Tesla brain images. This study explores the impact of diverse local receive coils on SNR and parallel imaging capabilities in tcMRgFUS. Simulation results underscore the significant SNR enhancement, especially with helmet-shaped coils, crucial for capturing signals from the head’s top and sides. Additionally, the study delves into integrating passive antennas to address the dark band issue, revealing a combined improvement in SNR and transmit field recovery. The study demonstrates that even a coil array outside the water bath can enhance SNR. This work offers critical insights into optimizing the imaging quality, improving temperature mapping accuracy, and recovering the transmit field in tcMRgFUS technology, holding potential for refined treatment visualization, targeting precision, and real-time monitoring.
Effect of synbiotic from nutmeg flesh extract and Lactobacillus plantarum on small intestinal morphology, stress, and bacterial population of broiler chickens under high stocking density conditions

This study aims to examine the effect of synbiotic nutmeg flesh extract and L. plantarum on intestinal morphology, stress indicators and bacterial populations in broiler chickens reared at high densities. Broiler chickens (body weight 142 ± 4,71 g) were randomly divided into five treatments, and each treatment was repeated five times, namely, T0 (negative control with a normal density of 10 birds/m2), T1 (positive control with a high density of 18 birds/m2), T2, T3, and T4 with a high density of 18 birds/m2. The synbiotic nutmeg flesh extract and L. plantarum were added to the feed from the eighth day at 0.5, 1.0, and 1.5 ml/kg for T2, T3, and T4, respectively. The results of the study showed that administering synbiotic nutmeg flesh extract and L. plantarum to broiler chickens reared at high density significantly (p<0.05) increased growth performance and villous length in the duodenum, jejunum, and ileum. In addition, this synbiotic also lowers the pH in the ileum and cecum, increases lactic acid bacteria and reduces coliform bacteria in the ileum and cecum, reduces the H/L and malondialdehyde (MDA) ratio and increases superoxide dismutase (SOD). Providing synbiotic nutmeg flesh extract and L. plantarum is also able to improve the performance and stress of broiler chickens raised at high densities.
Highly localized unique electrodynamics and plasma irregularities linked with the 17 March 2015 severe magnetic storm observed using multitechnique common‐volume observations from Gadanki, India

In this paper we study equatorial electrodynamics and plasma irregularities linked with the 17 March 2015 severe magnetic storm in the Indian sector by using common volume observations made by the Gadanki Ionospheric Radar Interferometer, airglow imager, Digisonde, and GPS receiver established at Gadanki (13.5°N, 79.2°E). Observations show that with the initiation of the storm at ~06:00 UT on 17 March, which happened to be midday in the Indian sector, the low‐latitude ionosphere responded in tune with the storm‐induced electric field and by the sunset time the base of the F layer ascended to an altitude of 470 km with a peak upward velocity of 50 m s−1 eventually manifesting equatorial plasma bubble and irregularities causing strong GPS scintillation. The most important finding found in this study is the confinement of plasma bubble and irregularities in a narrow longitude zone of 69°E–98°E. Results also show reversal of zonal drift of the irregularities from ~120 m s−1 eastward drift to ~120 m s−1 westward drift in a time span of ~30 min. Both observations are shown to be linked with very special electrodynamical conditions induced by the magnetic storm‐related electric field in the dusk sector. Intriguing details of the longitudinally localized electrodynamics and plasma irregularities are discussed in terms of prompt penetration and disturbed dynamo electric field effects.
Relationship between the announcement of administrative sanctioning proceedings and CEO turnover

This research aims to investigate the likelihood of forced CEO turnover in Brazil, based on the announcement of administrative sanctioning proceedings (PAS) conducted by the Brazilian Securities Commission (CVM). For this purpose, a sample of 272 Brazilian firms listed on the Brazilian Exchange B3 ( Brasil, Bolsa, Balcão ) and 121 PAS initiated and judged by CVM were considered from the period between 2011 and 2021. The analyses were conducted with the statistical techniques of binary and multinomial logistic regressions. The results indicate that the initiation – and subsequent announcement to the market – of PAS to investigate potential irregularities by economic agents in Brazilian listed companies increase the likelihood of CEO turnover. When analyzing heterogeneities in the types of CEO turnover analyzed, voluntary CEO turnover is more often, and no effects were perceived on the likelihood of forced CEO turnover compared to the likelihood of no turnover).
Analysis of The Effect of Credit Default Swap and Macroeconomic Variables on Indonesian Government Bonds Yield

The objective of this study is to examine the long- and short-term relationships between macroeconomic variables such as inflation, the Bank Indonesia interest rate (BI Rate), the USD/IDR exchange rate, gross domestic product (GDP), and Credit Default SWAP on Indonesian sovereign bond yields from January 2016 to December 2022. The Vector Error Correction Model (VECM) analysis is employed. Microsoft Excel and Eviews were used to perform the research. According to the findings, the dependent variable, inflation, does not have a long-term relationship with bond yields of five, ten, fifteen, or twenty years, but does have a short-term relationship with bond yields. BI Rate has a positive long-term relationship with bond yields of five, ten, and fifteen years. USD/IDR Exchange Rate has a negative long-term relationship with government bond yields of all tenors. Gross Domestic Product (GDP) has a negative long-term relationship with bond yields
Remote cognitive rehabilitation of attention: a case series pilot study with post-stroke patients

ABSTRACT Cognitive deficits are highly prevalent following a stroke, with memory, attention, and psychomotor speed being among the most affected functions. Prior research indicates that cognitive rehabilitation for stroke patients yields substantial improvements in cognitive performance and concurrently exerts a positive influence on reducing depressive symptoms. Objective: The goal of this study was to provide a description and assessment of the influence of cognitive rehabilitation on the attentional performance and depressive symptoms of individuals diagnosed with stroke. Methods: Participants underwent a neuropsychological assessment both prior to and following a 15-week remote cognitive rehabilitation intervention. This intervention involved the implementation of various cognitive tasks aimed at rehabilitating attentional skills. Results: The outcomes of the individualized descriptive assessment revealed a no table inclination towards enhanced attentional performance. The comparative results indicated that the cognitive rehabilitation intervention for stroke patients proved effective in facilitating a substantial reduction in depressive symptoms and enhancing participants’ alternating attention. While it is acknowledged that certain individuals may still exhibit deficiencies in various facets of attentional performance, cognitive rehabilitation contributed to the clinical amelioration of these individuals. Conclusion: Clinical improvement holds profound significance in the day-to-day existence of these individuals, bolstering their autonomy and fortifying their sense of self-efficacy, as attested by their personal perceptions and self-reports.
Impacts of Spatiotemporal Anomalies of Tibetan Plateau Snow Cover on Summer Precipitation in Eastern China

AbstractTibetan Plateau (TP) snow cover undergoes significant temporal and spatial variations during the winter and spring months. This study investigates the relationship between the spatiotemporal distribution of winter–spring snow cover (SC) over the TP and summer precipitation in eastern China (EC) using the singular value decomposition (SVD) method. Four simulation experiments are designed to validate the results of SVD analysis. Both observations and simulations show that heavier snow cover in the southern TP leads to more rainfall in the Yangtze River basin and northeastern China, and less precipitation in southern China, whereas heavier snow cover in the northern TP results in enhanced rainfall in southeastern and northern China and weakened precipitation in the Yangtze River basin. The linkage is attributed to anomalous westerly winds in the upper troposphere at around 200 hPa and to changes of the southern branch of westerlies at 500 hPa on the south side of the TP, which are caused by lasting d.
Enhancing academic writing skills and motivation: assessing the efficacy of ChatGPT in AI-assisted language learning for EFL students

Introduction This mixed-methods study evaluates the impact of AI-assisted language learning on Chinese English as a Foreign Language (EFL) students’ writing skills and writing motivation. As artificial intelligence (AI) becomes more prevalent in educational settings, understanding its effects on language learning outcomes is crucial. Methods The study employs a comprehensive approach, combining quantitative and qualitative methods. The quantitative phase utilizes a pre-test and post-test design to assess writing skills. Fifty EFL students, matched for proficiency, are randomly assigned to experimental (AI-assisted instruction via ChatGPT) or control (traditional instruction) groups. Writing samples are evaluated using established scoring rubrics. Concurrently, semi-structured interviews are conducted with a subset of participants to explore writing motivation and experiences with AI-assisted learning. Results Quantitative analysis reveals significant improvements in both writing skills and motivation among students who received AI-assisted instruction compared to the control group. The experimental group demonstrates enhanced proficiency in various aspects of writing, including organization, coherence, grammar, and vocabulary. Qualitative findings showcase diverse perspectives, ranging from recognition of AI’s innovative instructional role and its positive influence on writing skills and motivation to concerns about contextual accuracy and over-reliance. Participants also reflect on the long-term impact and sustainability of AI-assisted instruction, emphasizing the need for ongoing development and adaptation of AI tools. Discussion The nuanced findings offer a comprehensive understanding of AI’s transformative potential in education. These insights have practical implications for practitioners and researchers, emphasizing the benefits, challenges, and the evolving nature of AI’s role in language instruction.
Atmospheric correction for waterbody images acquired by spaceborne hyperspectral sensor CHRIS

CHRIS (Compact High Resolution Imaging Spectrometer) is an exploring hyperspectral remote sensor, carried on board PROBA-1 satellite. This satellite was launched in October, 2001 by the European Space Agency. With the properties of high spatial resolution, multi-angle observation and hyperspectral imagery, CHRIS offers a precious data resource for monitoring water quality. To monitor water quality by remote sensing technique quantitatively, a crucial step is to accomplish atmospheric correction accurately to gain above-water reflectance. Compared with remote sensing images over land, water reflectance is a weak signal, which requires more accurate atmospheric correction. 6S (Second Simulation of Satellite Signal in the Solar Spectrum) and MODTRAN (Moderate resolution TRANsmittance code) are two widely-used radiative transfer models. Most softwares utilize these two models to perform atmospheric correction of remote sensing images. This paper apply two sorts of softwares, including the 6S-based REMS (Remote Sensing Environmental Monitoring System) and MODTRAN-based ACORN (Atmospheric CORrection Now) to remove atmosphere effects over three CHRIS images acquired under different view angles over Meiliang Bay, Taihu Lake. We compared the reflectance spectra extracted from the atmospherically corrected images with in-situ measurement. The result shows that the water reflectance corrected by REMS and ACORN are quite close to the measured data. The correlation coefficients over the whole spectral range reach 90%. The angle properties of in-situ measured data are analyzed, and the angle properties of corrected images are more obvious than those of in-situ observation. The difference values of reflectance under the three view angles are bigger in green light than in red and near infrared light, agreeing with the measurement. The angle properties of reflectance corrected by ACORN better correspond with those of measured reflectance.
Woody Plant Rooting Depth and Ecosystem Function of Savannas

Savannas are characterized by the co-dominance of grasses and deep rooted shrubs or trees (e.g., Walter, 1971) in seasonally dry environments with a limited and fluctuating water supply. The two dominant plant functional types have contrasting strategies of drought avoidance, which determine the ecosystem-wide responses of savannas to precipitation variability. Grasses typically avoid drought by focusing their physiological activity in periods when soil water availability is high and become dormant as soon as the shallow soil, the sole source of their water supply, dries out. Shrubs and trees typically avoid drought by switching to deeper water sources, below the root zone of the grasses. Although this pattern has been observed in savannas, there are also variations on the theme, depending on two key factors: rooting depth and water availability in the lower root zone of the trees. Rooting depth is a trait that can vary greatly among tree species; for example, the genera of mesquite, tamarix, and eucalypt (Stromberg et al., 2007; Scott CONTENTS
Characteristics of Carpal Tunnel Syndrome Sufferers in Tailors at PT. Elite

Carpal Tunnel Syndrome (STK) is a condition of the median nerve in the wrist area compressed by the surrounding structure resulting in a tingling and numbness sensation in the hand. Risk factors such as occupational and non-occupational factors. There are still many cases in Indonesia because many tailors use manual sewing machines. Based on data from Basic Health Research (Riskesdas) in 2018, the prevalence of joint disease in Indonesia is 7.3%, especially in upper limbs as much as 32.7%. To determine the prevalence of STK incidence in employees at PT. Elite and assess the relationship of STK incidence with influencing factors. This research is an analytical research with a cross-sectional research design. Sampling is carried out using a non-random sampling technique of purposive sampling type. Data taken using questionnaires and physical examinations were then processed using SPSS statistical tests. The prevalence of STK incidence in employees of PT. Elite as many as 40 respondents from 107 respondents. Age factors ? 40 and >40 years, normal body mass index and obesity II and rheumatoid arthritis p value <0.05. Pregnancy status, diabetes mellitus, length of service and smoking history p value >0.05. There are <50% of STK incidents in PT. Elite employees. There is a significant relationship between the ages of ? 40 and >40 years. Normal body mass index and obesity II and rheumatoid arthritis were significantly associated with the incidence of STK. There was no significant relationship between pregnancy status, diabetes mellitus, length of service and smoking history with the incidence of STK in PT Elite
Concepts and Theories of Empowerment and Competency

This paper will present the conceptual analysis from the narrative literature review related to empowerment and competency from community development and social work disciplines. In research literature review will identifies, selects, and critically appraises research to clearly define the related concept and formulated question. Empowerment is one of concepts that become popular recently, but the debate on empowerment dates back several decades and frequently used by policy makers, politicians, community workers, social workers, and academicians. Four aspects of empowerment including a sense of efficacy, right to choose, competency, and meaningful. One of the important factors in empowerment is feelings of competence which is describe that people should have the necessary skills, knowledge, experience, and abilities to move forward to achieve empowerment. Competency is a combination of the set of knowledge, skills and abilities required to perform the role as a Social Worker (NASW, 2017) Competency is also used as a guideline that becomes a platform for evaluating the ability of Social Workers and community workers in carrying out their daily duties. Three theorical approach are related to studies of empowerment including the social structural empowerment theory, psychological empowerment theory and critical perspective.
Transcriptomic Analyses Reveal the Role of Cytokinin and the Nodal Stem in Microtuber Sprouting in Potato (Solanum tuberosum L.)

In potatoes, tuber secondary growth, especially sprouting, deforms the tubers and severely lowers their commercial value. Tuber sprouting is induced by signal substances, such as gibberellin (GA), which are transported to the tuber from the plant body. The molecular mechanism underlying GA-induced sprouting remains ambiguous. Here, we tried to recreate tuber secondary growth using in vitro stemmed microtubers (MTs) (with the nodal stem attached) and MT halves (with the nodal stem entirely removed). Our experiments showed that GA alone could initiate the sprouting of stemmed microtubers; however, GA failed to initiate MT halves unless 6-benzyladenine, a synthetic cytokinin CK, was co-applied. Here, we analyzed the transcriptional profiles of sprouting buds using these in vitro MTs. RNA-seq analysis revealed a downregulation of cytokinin-activated signaling but an upregulation of the “Zeatin biosynthesis” pathway, as shown by increased expression of CYP735A, CISZOG, and UGT85A1 in sprouting buds; additionally, the upregulation of genes, such as IAA15, IAA22, and SAUR50, associated with auxin-activated signaling and one abscisic acid (ABA) negative regulator, PLY4, plays a vital role during sprouting growth. Our findings indicate that the role of the nodal stem is synonymous with CK in sprouting growth, suggesting that CK signaling and homeostasis are critical to supporting GA-induced sprouting. To effectively control tuber sprouting, more effort is required to be devoted to these critical genes.
A scientific framework for evaluating coral reef resilience to climate change

The 21st century warming and acidification of tropical oceans will impact the structure and function of coral reef ecosystems. Consequently, conservation efforts are increasingly focused on identifying and protecting reef communities that demonstrate resilience to these changes. In this thesis, I develop a scientific framework for identifying climate change resilience in coral communities and, using Palau's coral reefs as a case study, demonstrate the application of this approach. First, I use coral skeletal records to evaluate the sensitivity of coral communities to episodes of severe thermal stress. This information reveals coral reef communities that consistently exhibit weak responses to multiple high temperature events. Second, I evaluate coral reef community structure across a strong, natural pH gradient using metrics informed by laboratory ocean acidification studies. The coral communities of Palau's Rock Island reefs show a level of pH tolerance that is unique amongst reefs studied to date. Third, I conduct laboratory and field experiments to constrain the pH thresholds of these resilient corals and investigate potential mechanisms for pH tolerance. Finally, I combine archipelago-wide coral temperature and pH sensitivity data to construct climate change resilience indices. My study succeeds in identifying a small number of coral communities that have the potential to withstand 2 1st century climate change and highlights the spatial variability in community responses to ocean warming and acidification. Critically, I present a set of scientific tools and approaches for identifying resilient coral reef communities that has applicability to coral reefs worldwide. Thesis Supervisor: Anne L. Cohen Title: Associate Scientist, Department of Geology and Geophysics, WHOI