Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Five-Week Aerobic Interval Training on The Body Composition of Pencak Silat Elite Athletes

Background: Background: The direction of coaching is emphasized as a factor affecting the physical conditions of pencak silat martial arts athletes in all categories. One of the physical exercises that affects body composition is aerobic activity. Objective: This study aimed to examine the effects of aerobic interval (AI) training performed for five weeks on the body mass index (BMI), basal heart rate, and the VO2max of elite athletes. Methods: The study used an experimental design involving total sampling. Thirty national-level pencak silat elite athletes (17 men and 13 women) were involved in this study. Of the participants, 23 had a normal BMI of 18.5 – 24.9 kg/m2, and 7 had a BMI above 25 kg/m2 (overweight). Their average age was 23.67 + 4.10 years with an average height of 166.03 + 7.15) cm and average initial weight of 64.84 + 12.65 kg. They were in the preparation phase of their training. This experimental research used a one-group pre-test and post-test design. The Mi Xiaomi Body Scale 2 was used for bioimpedance analysis (BIA), and body composition (body weight, BMI, body fat percentage, bone mass, protein percentage, total water body percentage, visceral fat, body age, muscle mass, and basal metabolic rate [BMR]) and VO2max measurements were acquired using a multistage fitness test (MFT). The athletes lived in a dormitory where the food, type of training and exercise, and sleeping time were controlled to the exact condition. The AI training lasted 67–77 minutes per session, twice a week for five weeks, with vigorous intensity at 80–85% of the maximal heart rate, 5 minutes per interval, and 1 minute of rest between each interval. Results: The weight, BMI, body fat percentage, basal heart rate, and VO2max showed significant differences (p 0.05) after five weeks of AI training. However, AI training did not significantly alter muscle mass, percentage of water, percentage of protein, bone mineral density, or biological age. Conclusion: AI training performed for five weeks improved VO2max and decreased basal heart rate, body weight, and fat percentage.
Biking to Ride: Investigating the Challenges and Barriers of Integrating Cycling with Regional Rail Transit

Integrating bicycling with public transport can potentially benefit cyclists and transit operators. Successfully coordinating these transport modes, however, can be a difficult task when so little is known about the social and environmental barriers to this type of multimodal travel in the North American context. Using data derived from a survey of regional train service patrons in the Greater Toronto and Hamilton regions of Ontario, Canada, this study examines the challenges faced by those who cycle to/from the train, the barriers that keep passengers from commuting to/from the train by bicycle, and the sociodemographic characteristics of those cycling—and not cycling—to/from the train. Safety concerns, worries about bicycle security, and rules restricting when bicycles are permitted on trains were among the top challenges identified by individuals currently cycling to and/or from train stations. Among those who do not cycle to or from the train, appearance and comfort were the two primary concerns. Results also indicate that certain groups were more likely to cycle to/from the train than others. Notably, a large gender gap exists, approximately two-thirds (67%) of those cycling to their local train station were male. Results from this study may inform policy makers on how to successfully, and equitably, integrate cycling with regional rail transit.
Mobility Management in the Applications of 5G and Beyond: A Handover Skipping Topology Analysis

This paper introduces handover (HO) skipping topology analysis that adjust the HO Skipping of 5G and beyond applications to improve the overall network performance and diminish negative effects. We propose a novel Poisson point process (PPP) based context-aware HO skipping approach to focus on the impact of HO metrics such as, passenger’s trajectory, different velocities, and a mean-time of a passenger within a BS to maintain a good quality of service (QoS). Our proposed scheme, context-aware HO skipping enables a dynamic HO skipping where the skipping decision is taken based on the load of the BSs along the passenger’s trajectory. The parameters have been analysed and implemented in a dynamic simulator and have been investigated for different parameter sets in a high-speed railway simulation scenario. Our simulation results in the robustness of the framework show comparable coverage probability on various high train velocities and mean-times.
Gradient Learning under Tilted Empirical Risk Minimization

Gradient Learning (GL), aiming to estimate the gradient of target function, has attracted much attention in variable selection problems due to its mild structure requirements and wide applicability. Despite rapid progress, the majority of the existing GL works are based on the empirical risk minimization (ERM) principle, which may face the degraded performance under complex data environment, e.g., non-Gaussian noise. To alleviate this sensitiveness, we propose a new GL model with the help of the tilted ERM criterion, and establish its theoretical support from the function approximation viewpoint. Specifically, the operator approximation technique plays the crucial role in our analysis. To solve the proposed learning objective, a gradient descent method is proposed, and the convergence analysis is provided. Finally, simulated experimental results validate the effectiveness of our approach when the input variables are correlated.
Impact of Diabetes Mellitus on Early Clinical Outcome and Stent Restenosis after Carotid Artery Stenting

Background Diabetes mellitus is closely related to both the severity of carotid disease and its outcome after revascularization. Carotid artery stenting (CAS) has emerged as a viable alternative to surgical endarterectomy but little is known about the impact of diabetes after CAS. Methods A consecutive cohort of 1940 patients undergoing CAS in two institutions was divided into two groups, diabetics and nondiabetics, and major cerebrovascular events (MACCEs) were analyzed at 30 days post-CAS and at 1 year follow-up. Results There were 730 patients with diabetes, with significantly higher BMI, hypertension, chronic dialysis, and dyslipidemia frequency (p < 0.05). There was no significant difference between the two groups in terms of early and late MACCEs (composite of transient ischemic attack, major stroke, myocardial infarction, and death), with an early rate of 3.5% nondiabetics vs. 5.3%, p = 0.08 and 2.4 nondiabetics vs. 2.3% diabetics, p = 0.1 at 12 months. Overall stroke/death rate in the asymptomatic patients was 2.4%, and the restenosis rate was higher in the diabetes population (2.3% vs. 1%, p = 0.04). Conclusion The presence of diabetes was associated with an acceptable increased periprocedural risk for CAS, but no further additional risk emerged during longer term follow-up. Diabetes may precipitate the rate of early in-stent restenosis.
Neuman Systems Model

Interestingly, the neuman systems model that you really wait for now is coming. It's significant to wait for the representative and beneficial books to read. Every book that is provided in better way and utterance will be expected by many peoples. Even you are a good reader or not, feeling to read this book will always appear when you find it. But, when you feel hard to find it as yours, what to do? Borrow to your friends and don't know when to give back it to her or him.
Prevalence and predictors of recreational drug use in a conflict affected area in the Southwest region of Cameroon: A cross-sectional study

Conflicts and displacements have high impact on mental health due to direct exposure to traumatic events and exposure to increased levels of daily stressors. Post-traumatic stress and other common disorders in conflict or post conflict settings have been well identified however recognition of substance use or abuse and what substances are in use, as well as predictors in conflict settings is sparse. This study aimed to assess the prevalence, types and predictors of recreational drug use among residents of a conflict affected area in the Southwest Region of Cameroon. This was a cross sectional study. We used consecutively sampling to interview 387 adults on recreational drug use in Mamfe a peri-urban town in conflict hit South West Region of Cameroon. Prevalence of ever and current use of recreational drugs were calculated, binary logistic regression was used to identify predictors of ever and current use of recreational drugs. 264 (68.22%) participants had (ever) used drugs for recreational purposes and 252 (65.12%) were current users. Of the 10 different recreational drugs detected, Alcohol (65.4 = 36%), cigarette (25.32%) and opioids (12.14%) were the most consumed. After multivariate analyses, age range of 35 to 54 years (AOR 1.65, 95% CI 0.79 to 3.48), male gender (AOR 3.47, 95% CI 2.03 to 5.94), and being a student (AOR 10.51, 95% CI: 1.15 to 95.93) were significantly associated with higher likelihood of ever used drugs for recreational purposes. Being internally displaced (AOR 0.81, 95% CI: 0.44 to 1.50) significantly predicted higher likelihood of current use of recreational drugs. Employment status of housewife (AOR 0.47, 95% CI: 0.03 to 8.64) predicted lower odds of recreational drug use. Recreational drug use is common among people living in the conflict affected area of Southwest of Cameroon. while housewives are less likely to use recreational drugs. Mental health interventions in conflict settings in low income settings should target male adults >35years and students as these are at high risks of recreational drug use as well as IDP’s as they deal with multiple stressors due to displacement.
Ergonomic Interventions in the Implementation of Risk-Based Audit to Overcome Dysfunctional Auditor Behavior

It is undeniable that auditors are expected to develop a strong audit plan to produce value-added audit reports. Given the preceding, current practice in auditing shows that many auditors use Risk-Based Audit (RBA) to determine an appropriate audit scope. RBA could effectively guide auditors to define audit scope based on the assessed risk. However, RBA does not consider human factors in performing audits. Consequently, most auditors encounter time budget pressure in meeting tight audit deadlines. Such an issue could adversely affect auditors' productivity and health. On the other hand, ergonomics is a discipline that focuses on human capabilities in completing tasks. The study also guides employees to adapt to the job while improving their well-being and increasing the quality of work results. Therefore, this study aims to intervene the principles of RBA with ergonomics. RBA consists of three stages: risk assessment, response, and reporting. The authors have concluded that ergonomics could intervene in RBA in the risk response step once the risk level is determined in the risk assessment phase by conducting a literature review study. Therefore, the auditors should balance the time budget allocation based on the assessed audit risk (low, moderate, or high). As the entity's risk is high, the audit team should be given an extended time allocation and vice versa. The findings suggest that auditors should develop an appropriate time budget scheme for specific audit procedures based on the assessed risks resulting from RBA implementation.
A Narrative Inquiry Study Examining Gender and Sexuality Center Professionals’ Engagement with Anti-Racism

ABSTRACT Guided by a framework combining scholarship on critical consciousness and anti-racism in education, this narrative inquiry study sought to understand how practitioners within Gender and Sexuality Centers (GSCs) perceive their engagement with anti-racism. Centering the stories of 20 GSC professionals, findings revealed the racialized differences in practitioners’ motivations, how professionals conceptualized anti-racism actions as involving and extending beyond programming for people of color, as well as how they engaged in reflection with themselves and others. We then offer implications for research and practice.
Exploring Performance Limits on Proactive Fair Scheduling for mmWave WLANs

Although the millimeter wave (mmWave) band has great potential to address ever-increasing demands for wireless bandwidth, its intrinsically unique propagation characteristics call for different scheduling strategies in order to minimize performance drops caused by blockages. A promising approach to mitigate the blockage problem is proactive scheduling, which uses blockage predictions to schedule users when they are experiencing good channel conditions. In this paper, we formulate an optimal scheduling problem with fairness constraints that allows us to find a schedule with maximum aggregate rate that achieves approximately the same fairness as the classic proportional fair scheduler. The results show that, for the problem settings studied, up to around 30% increase in aggregate rate compared to classic proportional fair scheduling (PFS) is possible with no decrease in fairness when blockages can be accurately predicted 0.5 seconds in advance. Furthermore, aggregate rate could be doubled compared to PFS if blockages can be accurately predicted 5 seconds in advance. While these results demonstrate the very promising potential of proactive scheduling, we also discuss several future research directions that must be pursued to effectively realize the approach.
The co‐movements of faith‐based cryptocurrencies in periods of pandemics

In the recent coronavirus pandemic, several researchers have focused on the drivers of cryptocurrency behavior. In particular, this study provides insights into what can drive Islamic cryptocurrency markets and how do they react during the COVID-19 pandemic. We explore the cryptocurrency volatility and the connectedness between the Islamic, conventional, and COVID-19 confirmed cases and deaths using the wavelet approaches. The preliminary results show that faith-based cryptocurrencies have reduced risk exposure than their conventional counterparts, in the long run, making them more appealing for investment, particularly for investors seeking low-risk and Shariah-compliant assets. Furthermore, the empirical results indicate that both Islamic and conventional cryptocurrencies are more sensitive to the death toll than the newly confirmed cases. We also observe significant positive co-movements between Bitcoin and Islamic cryptocurrencies. Besides, Bitcoin exhibits a substantial response during various time scales while compared with Islamic cryptocurrencies. This study contributes to the literature by investigating the sensitivity and the vulnerability of a new category of cryptocurrencies backed by tangible assets to pandemic shocks. To the extent of the author's knowledge, this study is the first attempt that examines the co-movement between Islamic and conventional cryptocurrencies using the wavelet approach. A viable, ethical, and alternative investment route for faith-based investors can be provided by the Shariah-Compliant cryptocurrencies as they are risk-reduced and less sensitive to the pandemic than conventional benchmarks. Besides, this study creates opportunities in portfolio diversification for investors.
PRAKTIK KERJA LAPANGAN DALAM PEMBELAJARAN AKUNTANSI MANAJEMEN

Abstrak: Praktik Kerja Lapangan dalam Pembelajaran Akuntansi Manajemen. Penelitian ini berusaha untuk menginvestigasi keefektifan praktik kerja lapangan pada mata kuliah Akuntansi Manajemen. Metode yang digunakan dalam penelitian ini adalah uji kuesioner dan analisis SWOT kepada sejumlah mahasiswa akuntansi Universitas Sriwijaya yang mengikuti program ini. Hasil penelitian menunjukkan bahwa praktik kerja lapangan memiliki urgensi bagi pengembangan kompetensi mahasiswa. Mereka lebih memahami dan dapat melihat secara langsung kondisi sebenarnya pada perusahaan manufaktur. Selain itu, praktik kerja lapangan memberikan keunggulan bagi kalangan di sekitar lingkungan pembelajaran melalui teori kognitif sosial. Abctract: Field Observation in Learning Management Accounting. This research seeks to investigate the effectiveness of field observation in management accounting courses. The method used in this study is a questionnaire test and Analisis SWOT to accounting students Sriwijaya University who follow this program. The research shows that field observation has an urgency for student competence development. They can understand the actual conditions in the manufacturing company. In addition, field observation provide an advantage to the people around the learning environment through cognitive social theory.
Naive Bayesian Classifier在遥感影像分类中的应用研究

将Naive Bayesian Classifier（简单贝叶斯网络分类器）用于遥感影像的分类,并对其主要问题如特征选择和后验概率推理等展开研究。 使用K2结构学习算法选出具有类别可分性的波段,进一步利用互信息测试对遥感波段之间的相关性做分析,去除冗余信息。 特征（波段）的条件独立性假设简化了联合概率的计算,以较小的计算代价获得后验概率。 在此基础上,将Naive Bayesian Classifier用于多光谱和高光谱影像的分类,获得很好的性能和相当高的稳健性。
Comparative Dynamics of Delta and Omicron SARS-CoV-2 Variants across and between California and Mexico

Evolutionary analysis using viral sequence data can elucidate the epidemiology of transmission. Using publicly available SARS-CoV-2 sequence and epidemiological data, we developed discrete phylogeographic models to interrogate the emergence and dispersal of the Delta and Omicron variants in 2021 between and across California and Mexico. External introductions of Delta and Omicron in the region peaked in early July (2021-07-10 [95% CI: 2021-04-20, 2021-11-01]) and mid-December (2021-12-15 [95% CI: 2021-11-14, 2022-01-09]), respectively, 3 months and 2 weeks after first detection. These repeated introductions coincided with domestic migration events with no evidence of a unique transmission hub. The spread of Omicron was most consistent with gravity centric patterns within Mexico. While cross-border events accounted for only 5.1% [95% CI: 4.3–6] of all Delta migration events, they accounted for 20.6% [95% CI: 12.4–29] of Omicron movements, paralleling the increase in international travel observed in late 2021. Our investigations of the Delta and Omicron epidemics in the California/Mexico region illustrate the complex interplay and the multiplicity of viral and structural factors that need to be considered to limit viral spread, even as vaccination is reducing disease burden. Understanding viral transmission patterns may help intra-governmental responses to viral epidemics.
Gd2O3-mesoporous silica/gold nanoshells: A potential dual T1/T2 contrast agent for MRI-guided localized near-IR photothermal therapy

Significance Photothermal cancer therapy, based on gold nanoshells and near-infrared irradiation, has been demonstrated in a successful clinical trial for localized prostate cancer, resulting in little or no side effects for the patient. The next step in the development of this ultralocalized cancer therapy is to combine the photothermal response of the gold nanoparticles with enhanced contrast in magnetic resonance imaging, enabling a “see and treat” capability for clinicians that will facilitate the optimization of nanoparticle dosing and irradiation times. Here we report a near-infrared photothermally responsive nanoparticle with an outstanding and highly unusual MRI contrast agent with both T1 and T2 contrast, allowing for enhanced MR imaging capabilities.
Kinetics of the SARS-CoV-2 Antibody Avidity Response Following Infection and Vaccination

Serological assays capable of measuring antibody responses induced by previous infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been critical tools in the response to the COVID-19 pandemic. In this study, we use bead-based multiplex assays to measure IgG and IgA antibodies and IgG avidity to five SARS-CoV-2 antigens (Spike (S), receptor-binding domain (RBD), Nucleocapsid (N), S subunit 2, and Membrane-Envelope fusion (ME)). These assays were performed in several cohorts of healthcare workers and nursing home residents, who were followed for up to eleven months after SARS-CoV-2 infection or up to six months after vaccination. Our results show distinct kinetic patterns of antibody quantity (IgG and IgA) and avidity. While IgG and IgA antibody levels waned over time, with IgA antibody levels waning more rapidly, avidity increased with time after infection or vaccination. These contrasting kinetic patterns allow for the estimation of time since previous SARS-CoV-2 infection. Including avidity measurements in addition to antibody levels in a classification algorithm for estimating time since infection led to a substantial improvement in accuracy, from 62% to 78%. The inclusion of antibody avidity in panels of serological assays can yield valuable information for improving serosurveillance during SARS-CoV-2 epidemics.
Impact of COVID-19 lockdown on mental health status: A questionnaire based cross sectional study in Hyderabad, India

Background In view of the rising concerns about the psychological impact of COVID-19 pandemic and the subsequent lockdown imposed as an emergency safety measure, this study aims to understand the mental health status of the people of Hyderabad, India. The objectives of the study are to find the prevalence of psychological morbidities and its association with factors like environment at home, relationship with others and self-perception of mental health.
The double pulsar system: a unique laboratory for gravity

The PSR J0737–3039 is a double neutron star system in which both stars are detectable as active radio pulsars. The pair, consisting of an old, mildly recycled 23-ms pulsar and a young 2.8-s pulsar, orbit the common centre of mass in a slightly eccentric, compact orbit with a short orbital period of 147 min. The combination of system parameters makes this binary pulsar the most relativistic binary pulsar known and allows unique tests of general relativity and alternative theories of gravity. Hence, we summarize the importance of the system for such tests, and pay attention, for instance, to the observed measurement of relativistic spin precession which confirms the ‘effacement’ property of a spinning body. We also present a method to use measurements of the absolute position angle of the linearly polarized radio emission of the pulsars to measure the rate of the relativistic spin precession. We demonstrate how spin–orbit coupling will eventually allow us to determine the moment-of-inertia of pulsar A, and provide a general outlook into the prospects of future observations of the double pulsar.
B Vitamins and Incidence of Advanced Age-Related Macular Degeneration: The Alienor Study

B vitamins may protect against age-related macular degeneration (AMD). We evaluated the associations of dietary intake and serum vitamins with the incidence of advanced AMD in the Alienor study. The Alienor study is a prospective population-based cohort of 963 residents of Bordeaux, France, who were 73 years or older at baseline (2006–2008). Examinations were performed every two years over an eight-year period. The incidence of AMD is based on retinal fundus photographs and spectral-domain optical coherence tomography examinations. Among the 861 included participants, 93 developed incident AMD during a median follow-up time of 9.8 years. Participants with normal serum folate (≥10 nmol/L) significantly had a 51% reduced risk for AMD in the fully adjusted Cox model (HR, 0.49 [95% CI, 0.25–0.95], p = 0.036). Participants with a higher dietary intake of B5 and B6 vitamins had a lower risk for developing AMD of up to 28% (HR, 0.72 for 1-SD increase [0.53–0.99], p = 0.049; HR, 0.90 [0.81–0.99], p = 0.049, respectively). This cohort study of older adults suggests a strong association between a normal serum folate status, a high dietary intake of B5 and B6 and a lower risk for developing advanced AMD. Adopting a healthy diet rich in B vitamins may help to reduce vision loss due to AMD.