Miracle-dz/UniFAR-FTUs huggingface dataset:
Jurnal Pendidikan Jasmani dan Olahraga

Adolescent athletes need more nutrient intake than adolescents of the same age due to their high activities, especially during exercise, to avoid disruption in their growth process. The athlete is also required to have a good body composition to achieve optimal performance. This study examined the relationship between body composition and nutrient intake of female adolescent athletes and their fitness level. A cross - sectional study was conducted on 28 female athletes of Tulungagung Training Centre selected using systematic random sampling. Dietary assessment (energy and macronutrient intake) and body composition (FM, FFM) were measured using 2x24 hours food recall and InBody270. The maximal oxygen uptake (VO2max) was measured using Multi-stage Fitness Test. Independent sample t - test, Mann - Whitney test, and Spearman test were performed using SPSS 25. The results found that most athletes had a lower mac-ronutrient intake, especially energy, carbohydrate, and fat
MODELLING RESDENTIAL PROPERTY VALUES IN BIDA USING GEOGRAPHIC INFORMATION SYSTEM

Many studies have unveiled the importance of variation in residential property values overtime, but failed to cover different types of residential property value and location. The aim of this research is therefore to model residential property rental value in Bida from 2015 to 2020 with the aid of Geographic Information System (GIS). The study focused on the rental values of the residential property and rental value variation across space. Data collected for this paper includes residential rental values and geographic coordinates from 196 residential properties in the study area, comprising 101 one-bedroom, 80 two-bedroom and 15 three-bedroom apartments. Inverse Distance Weighted (IDW) interpolation tool of ArcGIS was employed in analyzing the data. It was found out that the core areas of the town commands lower rental values while the southern part of the town commands higher rental values. It was also found out that one bedroom apartment is the most dominant residential rental property followed by the two bedroom apartments and three bedroom apartments respectively. Geospatial database was produced for each model in a bid to ascertain the level of changes with time. The benefits associated with the application of GIS technology were established by this research and recommends its application to other property values modeling.
Digital Commons @ New Haven Digital Commons @ New Haven

A replication study of a previous genome-wide association study (GWAS) suggested that a SNP linked to the POLB gene is associated with systemic lupus erythematosus (SLE). This SNP is correlated with decreased expression of Pol b , a key enzyme in the base excision repair (BER) pathway. To determine whether decreased Pol b activity results in SLE, we constructed a mouse model of POLB that encodes an enzyme with slow DNA polymerase activity. We show that mice expressing this hypomorphic POLB
Metagenomic exploration of endosymbionts and pathogens in the tropical lineage of Rhipicephalus sanguineus sensu lato (s.l.) ticks in Colombia

Rhipicephalus sanguineus sensu lato (s.l.), commonly known as the domestic dog tick, is a globally distributed tick. This species plays a significant role in human and animal health, as well as in economy due to its ability to infest livestock. The use of shotgun metagenomics has proven valuable in identifying tick-borne pathogens and key members of the tick microbiome, including endosymbionts. However, the application of shot-gun metagenomics in R. sanguineus s.l. ticks in Latin America remains largely unexplored. Therefore, our objective aimed to explore and further analyze the metagenome of the tropical lineage of R. sanguineus s.l. ticks in Colombia. Through our analysis, we identified the three most prevalent pathogens harbored by these ticks, namely: Ana-plasma phagocytophilum , Francisella tularensis , and Theileria equi . However, the most abundant microorganism detected was not a pathogen but the endosymbiont Coxiel-la mudrowiae . Interestingly, Coxiella mudrowiae exhibited significant negative correla - tions with several pathogens and other endosymbionts. Furthermore, we successfully constructed 27 medium-quality metagenome-assembled genomes (MAGs) for this microorganism, enabling us to conduct a pangenome analysis by comparing them with available genomes and identifying proteins of interest, such as those involved in vitamin B synthesis. This study represents the first implementation of shotgun metagenomics as a methodology to expand our understanding of pathogens and endosymbionts in the circulating tropical lineage of R. sanguineus s.l. ticks in Colombia. The findings of this research serve as a foundation for the development of prevention and mitigation strategies against pathogens transmitted by this tick species. Information gained from this study can contribute to the improvement of public health measures and veterinary practices aimed at controlling the impact of tick-borne diseases.
Parenting intervention effects on children's externalizing behavior The moderating role of genotype and temperament

Recent research suggests that children’s heightened susceptibility to parenting may have a (poly)genetic basis, and may be grounded in children’s temperament. However, much current evidence is of a preliminary—correlational—nature. Because in correlational designs alternative explanations for gene–environment (G (cid:1) E) or temperament–environment (T (cid:1) E) interactions cannot be discounted, it is pivotal to conduct experimental studies in which parenting is actively manipulated. Based on data from a recently conducted randomized trial ( n = 387) of the Incredible Years parenting intervention, experimental evidence is provided for G (cid:1) E and T (cid:1) E interactions in an at-risk population of children aged 4–8 years. The discussion centers around the use of polygenetic data and microtrial designs, and provides suggestions for how to integrate endophenotypes in tests of G (cid:1) E and T (cid:1) E.
Beyond credentialing in physician selection: Application of an Beyond credentialing in physician selection: Application of an instrument that measures behavioral aptitude instrument that measures behavioral aptitude

This article explores the idea that the assessment of candidates for the role of evaluating their inter-personal and behavioral aptitude as well as their clinical skills. determine whether results of a structured interview correlate collected: a structured aptitude assessment for physicians (the Physician Interview) and job performance data for physicians. Analysis of performance data allowed categorization of the physicians into three groups: top performers contrast performers, and neither. The two data sets were then analyzed to assess the correlation between a physician’s job performance and score on the Physician Interview. system. Sixty-three physicians were nominated for inclusion. Nineteen physicians met the criteria as top twenty-three as contrast performers. Twenty suggest that applying the structured Physician Interview as a standard step in the selection process can significantly increase the likelihood of identifying top-Keywords
Attention mechanism-based deep supervision network for abdominal multi-organ segmentation

In this paper, we present a novel approach to multi-organ segmentation in abdominal CT examinations conducted across multiple centers, various phases, different vendors, and diverse disease conditions. This novel approach use deep learning(DL) and attention . We describe the strategy employed during the Fast and Low GPU Memory Abdominal Organ Segmentation (FLARE) challenge, which was held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023.To meet the challenge requirements and achieve faster model convergence within the specified time frame, we developed a U-Net architecture. Our U-Net is based on a lightweight network from the VGG family, serving as the encoder, with additional attention mechanisms incorporated into the de-coder. The decoder is designed symmetrically to fully leverage forward skip connections. Attention modules were not only integrated within the decoder but also introduced before the final segmentation layer.With this strategy, it enables the model to converge in a short time and has a shorter number of iterations, in order to better cope with the time constraints of the competition. According to challenge rules, encoder and decoder weights are randomly initialized, without relying on any pre-training scheme. To improve the gradient flow and encourage extracting discriminative features, our model leverages multi-stage deep supervision for automatic depiction of tumors and 13 organs such as the liver, right kidney, spleen, etc., providing a new perspective for the interpretation and decision-making of clinical upper abdominal images.Our method achieved an average DSC score of 41.1% and 15.04% for the organs and lesions on the validation set and the average running time and area under GPU memory-time cure are 189s and 405109MB, respectively.
Microstructural characterisation of a P91 steel normalised and tempered at different temperatures

9%Cr-1%Mo martensitic-ferritic steels are used in power plant components with operating t emperatures of around 600°C because of their good mechanical properties at high temperature as well as good oxidation resistance. These steels are generally used in the normalised and tempered condition. This treatment results in a structure of tempered lath martensite where the precipitates are distributed along the lath interfaces and within the martensite laths. The characterisation of these precipitates is of fundamental importance because of their relationship with the creep behaviour of these steels in service. In the present work, the different types of precipitates found in these steels have been studied on specimens in different metallurgical conditions. The techniques used in this investigation were X-ray diffraction with synchrotron light, scanning electron microscopy, energy dispersive microanalysis and transmission electron microscopy.
Design pattern application in UML

The Uni(cid:12)ed Modeling Language (UML) currently proposes a mechanism to model recurrent design structures: the parameterized collaborations. The main goal of this mechanism is to model the structure of Design Patterns. This is an interesting feature because it can help designers to point out pattern application without spending time with intricate design details. Moreover, it can also help designers to better document their systems and to manage their own design pattern library, which could be used in di(cid:11)erent systems or projects. However, from a tool perspective, the semantics associated to parameterized collaborations is still vague. To put it more precisely, the underlying representation of a design pattern and of its application, and the binding between these two levels is not exactly de(cid:12)ned, and therefore, can be interpreted in di(cid:11)erent ways. This article has two purposes. First, we point out ambiguities and clarify some misunderstanding points concerning parameterized colla-borations in the \o(cid:14)cial" UML literature. We also show the limits of this mechanism when e(cid:11)ectively modeling design patterns. Second, we propose some workarounds for these limits and describe how a tool integrating this mechanism could help with the semi-automatic application of design patterns.
Increased non-Gaussianity of heart rate variability predicts Increased non-Gaussianity of heart rate variability predicts cardiac mortality after an acute myocardial infarction cardiac mortality after an acute myocardial infarction

Non-Gaussianity index ( λ ) is a new index of heart rate variability (HRV) that characterizes increased probability of the large heart rate deviations from its trend. A previous study has reported that increased λ is an independent mortality predictor among patients with chronic heart failure. The present study examined predictive value of λ in patients after acute myocardial infarction (AMI). Among 670 post-AMI patients, we performed 24-h Holter monitoring to assess λ and other HRV predictors, including SD of normal-to-normal interval, very-low frequency power, scaling exponent α 1 of detrended ﬂuctuation analysis, deceleration capacity, and heart rate turbulence (HRT). At baseline, λ was not correlated substantially with other HRV indices (| r | < 0.4 with either indices) and was decreased in patients taking β -blockers ( P = 0.04). During a median follow-up period of 25 months, 45 (6.7%) patients died (32 cardiac and 13 non-cardiac) and 39 recurrent non-fatalAMI occurred among survivors. While all of these HRV indices but λ were signiﬁcant predictors of both cardiac and non-cardiac deaths, increased λ predicted exclusively cardiac death (RR [95% CI], 1.6 [1.3–2.0] per 1 SD increment, P < 0.0001). The predictive power of increased λ was signiﬁcant even after adjustments for clinical risk factors, such as age, diabetes, left ventricular function, renal function, prior AMI, heart failure, and stroke, Killip class, and treatment ([95% CI], 1.4 [1.1–2.0] per 1 SD increment, P = 0.01). The prognostic power of increased λ for cardiac death was also independent of all other HRV indices and the combination of increased λ and abnormal HRT provided the best predictive model for cardiac death. Neither λ nor other HRV indices was an independent predictor of AMI recurrence. Among post-AMI patients, increased λ is associated exclusively with increased cardiac mortality risk and its predictive power is independent of clinical risk factors and of other HRV predictors.
of Birmingham The value of Twitter data for determining the emotional responses of people to urban green spaces

18 In urban research, Twitter data have the potential to provide additional information about urban 19 citizens, their activities, mobility patterns and emotion. Extracting the sentiment present in tweets is 20 increasingly recognised as a valuable approach to gathering information on the mood, opinion and 21 emotional responses of individuals in a variety of contexts. This article evaluates the potential of 22 deriving emotional responses of individuals while they experience and interact with urban green 23 space. A corpus of over 10,000 tweets relating to 60 urban green spaces in Birmingham, United 24 Kingdom was analysed for positivity, negativity and specific emotions, using manual, semi-25 automated and automated methods of sentiment analysis and the outputs of each method 26 compared. Similar numbers of tweets were annotated as positive/neutral/negative by all three 27 methods; however, inter-method consistency in tweet assignment between the methods was low. A 28 comparison of all three methods on the same corpus of tweets, using character emojis as an 29 additional quality control, identifies a number of limitations associated with each approach. The 30 results presented have implications for urban planners in terms of the choices available to identify 31 and analyse the sentiment present in tweets, and the importance of choosing the most appropriate 32 method. Future attempts to develop more reliable and accurate algorithms of sentiment analysis are 33 needed and should focus on semi-automated methods.
Litter decomposition and release of nutrients form Eucalyptus camaldulensis leaf on Eucalypt plantation soils

The decomposition and nutrient release from the leaf litter of Eucalyptus camaldulensis in six different plots under Eucalypt plantation soils were investigated. Six soil samples as well as leaf litter from each plot were collected from the plantation. Using standard methods, the soil samples as well as the leaf litter samples were analyzed for chemical properties (pH, Organic carbon, nitrogen, phosphorus, potassium, calcium and magnesium). Microbiological characteristics (Total viable bacteria and fungi, and Carbon (IV) oxide evolution) of the decaying leaf litter samples were also determined. All analyses were done at day 1, 30 and 60 of the decomposition period. Litterbag study was employed; each litterbag contained a soil and its corresponding leaf litter obtained from the particular plot were designated as E1 – E6. The decomposition rates of the litter in E1, E2, E3, E4, E5 and E6 were found to be 0.00393, 0.00331, 0.00479, 0.00571, 0.00548 and 0.00271 respectively. The results showed that there was a general decrease in nutrient status of the litter and an increase in soil nutrient during the decomposition period. Pearson’s correlation matrix revealed that there was a positive correlation in the release of nutrient from the leaf litters and their return to the soil at day 1, 30 and 60 in almost all the samples. It was also found that the total viable bacteria and fungi were statistically associated. These were attributed to their different soil microbiological and chemical properties. It is concluded from this study that decomposition and release of nutrient from E. camaldulensis leaf litters in different plots under Eucalypt plantation soils are differed according to plot condition. World Scientific News 62 (2017) 24-45 -25
Impact of Diet and Exercise Protocol for Pregnant Diabetic Women on Pregnancy and Labor Outcomes

: Normal pregnancy is a non pathological condition characterized by a series of complex hormonal adaptations that occur to ensure that sufficient glucose is available to meet the nutritional requirements of the growing fetus without causing maternal hypoglycemia. Hyperglycemia, a hallmark of diabetes, it is an important cause of maternal and fetal complications in pregnancies of women with any type of diabetes. Generally, the pregnancy in women with diabetes is associated with high risk of obstetric and neonatal complications, morbidity and mortality. Aim : Evaluate the impact of diet and exercise protocol for pregnant diabetic women on pregnancy and labor outcomes. Subjects and methods: Quasi experimental Research – design was carried out in this study, Sample size was estimated to be100 individuals divided into two groups, one control group (50 case) and one study group (50 case) conducted at the Obstetric and Gynecology department (Antenatal clinics, labor ward) in Suez Canal University Hospital , Maternal and child Health Centers in Ismailia City . Results : This study revealed that there are no statistical significant difference between two groups ( control and study) in pre intervention , also revealed that there high statistical significant difference between pre and posttest in study group regarding to short and long term complications related to diabetes during pregnancy as body mass index ,blood glucose level , blood pressure level of women , macrosomia , shoulder dystochia of their babies. Conclusion: This study found that lifestyle intervention which include change in diet and exercises behavior showed significant benefit in risk factors that are known to be associated with development of short and long term maternal complications as uncontrolled in blood pressure ,blood sugar level , pre-eclampsia , eclampsia and perinatal complications as macrosomia , shoulder dystochia ,cardiovascular disease. Incidence of gestational diabetes can be prevented through increased awareness and education of pregnant women about having appropriate lifestyles during pregnancy and any intervention that would lead to improved lifestyle. Recommendations: it is important to counsel diabetic women regarding the Pregnancy should be planned in women with preexisting diabetes, which includes a strict metabolic control with near or near-normal glucose levels, reached through lifestyle modifications, a healthy diet, and an exercise planning program to avoid short and long term complications for maternal and perinatal complications .
University of Birmingham Exercise and aerobic capacity in individuals with spinal cord injury

AU : Pleaseconfirmthatallheadinglevelsarerepresentedcorrectly : Background A low level of cardiorespiratory fitness [CRF; defined as peak oxygen uptake ( _ V O 2peak ) or peak power output (PPO)] is a widely reported consequence of spinal cord injury (SCI) and a major risk factor associated with chronic disease. However, CRF can be modified by exercise. This systematic review with meta-analysis and meta-regression aimed to assess whether certain SCI characteristics and
THORACIC ULTRASOUND IN COVID-19 IN CORRELATION TO LAB AND CHEST COMPUTED TOMOGRAPHY

Background : Despite the widespread utilization of chest CT, the definitive reassurance for repetition remains undetermined. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) is responsible for the onset of coronavirus disease 2019 (COVID-19), which leads to the development of viral pneumonia. Diagnosis of this condition may be achieved through the utilization of a chest computed tomography (CT) scan. Furthermore, the application of Lung Ultrasound (LUS) has been found to possess significant diagnostic precision in instances of Alveolar Consolidation and Interstitial Lung Diseases. Objective: The purpose of this study was to evaluate diagnostic performance of transthoracic ultrasound in COVID pneumonia and correlations of these findings with clinical features, lab and chest CT. Patients and Methods : This prospective observational study was conducted on (100) patients attending isolation unites (ward or ICU), Benha University hospital, with evidence of COVID-19 pneumonia during the period from June 2021 till January 2022. Results : The mean age of the studied patients was 53 ±15 years. More than half of the patients were males (58%). fever was the most common manifestation among studied group. GGO was the most common finding and the median CT chest score was 14, ranging from 3-25. B lines were the most common finding in LUS and the median LUS score was 16. There was significant correlation between chest CT, LUS with O 2 saturation in negative way and in positive way with inflammatory markers such as CRP, LDH and D.dimer. Lung US score was correlated significantly in positive way with chest CT score. The best cut-off of lung US score to predict mortality was > 24, at which sensitivity and specificity were 95.2% and 96.2%, respectively while the best cutoff chest CT was > 18, at which sensitivity and specificity were 100% and 87.3%, respectively. LUS score was a significant predictor of mortality. Conclusion: Lung ultrasound serves as a secure and efficacious diagnostic modality in individuals presenting with COVID-19 pneumonia which reflects CT findings. The LUS score exhibited a strong correlation with various laboratory findings and the CT severity score, thus, rendering it a valuable prognosticator of mortality. The best cutoff of LUS score to predict mortality was > 24, at which sensitivity and specificity were 95.2% and 96.2%, respectively while the best cutoff chest CT was > 18, at which sensitivity and specificity were 100% and 87.3%, respectively.