Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Circuit Training on Cardio-Respiratory Endurance Among College Students

The main purpose of the study was to investigate the effects of circuit training on cardiorespiratory endurance among college students. The thirty healthy and volunteered students were selected as subjects through Physical readiness questionnaire (PAR-Q) having an age of 18-22 years. Subjects were equally divided into two groups as Experimental and Control. The data on cardiorespiratory endurance was collected (before and after the treatment) of each subject of both groups through the Copper test. The treatment of circuit training was given to the experimental group three times a week on alternate days for 12 weeks. During the same period, the control group did not take part in any sort of special training except routine life activities. The data were analyzed by applying the paired sample t-test. The results show that circuit training of 12 weeks significantly improved cardio respiratory endurance in experimental group (p < 0.05) than control group.
Measuring the Level of Discipline of Bureaucrats in Palu City

This research was conducted to find out why the implementation of the disciplinary policies of the State Civil Apparatus in Palu City has not been running optimally. The scope of this research is the Palu City government using qualitative methods as a reference to produce descriptive data collected through in-depth interviews, observation and document analysis related to the implementation of employee work discipline. With the determination of informants using a purposive method. Purposive sampling is a non-random sampling strategy where the selection is determined by the researcher by determining certain characteristics that are in line with the research objectives so that research questions can be resolved. The results showed that the implementation of the discipline of the Palu City State Civil Apparatus, which was seen from the dimensions of communication, resources, disposition, and bureaucratic structure, had not gone as expected. Thus it is necessary to evaluate and provide motivation given by the leadership to employees in order to increase the quality of performance. Employee discipline is very influential on services for the community.
Impulsivity traits, emotions and mobile phone sexting among college students in Kenya

Sexting using internet-enabled mobile phones is increasingly becoming central to college students’ communication. Understanding prevalence rates and psychological predictors in an understudied population in sub-Saharan Africa therefore warrants concern. This survey study sought to examine (a) sexting prevalence rates; (b) impulsivity traits and sexting; and (c) whether emotions moderate the relationship between impulsivity traits and sexting among college students. Data from undergraduate students (N = 464; M(SD) age = 22.84 (.91); 50.4% female) were collected using a questionnaire measuring impulsivity, emotions and engagement in sexting and analysed using descriptive statistics, t-tests and regression analysis. Moderation analysis was conducted using the PROCESS macro for SPSS. Results show that sexting was reported by over half the sample and men were significantly more likely to send and respond to sexts. Lack of premeditation predicted sending but not responding; positive urgency predicted responding but not sending; and sensation seeking predicted both aspects of sexting. Desire, fear and happiness moderated the relationship between impulsivity traits and sexting. Findings suggest that under specific heightened emotions, individuals with impulsivity traits are more likely to engage in sexting.
How Does Artificial Intelligence Shape the Audit Industry?

This study uses audit firms’ job postings from 2010 to 2019 to present descriptive evidence of the long-term impact of using artificial intelligence (AI) technology on the audit industry. We exploit the staggered job postings for personnel with AI skills at audit office locations across the United States as a proxy for the implementation of AI technology at local audit offices. We show in a difference-in-differences setting that relative to audit offices that do not yet have any jobs requiring AI skills, audit offices that have jobs requiring AI skills experience an increase in the number of auditor jobs. The effects are stronger when audit offices are in less urbanized areas, and when audit offices have more jobs that could be replaced by AI. We estimate instrumental variable regressions and show similar patterns. AI implementation also significantly increases the skill and education requirements for auditor jobs. Last, we find that audit offices with AI implementation do not significantly lower audit and tax fees, but they do significantly reduce the percentage of clients with adverse restatements and audit lag. Overall, our evidence indicates that AI does not replace auditor jobs but leads to upskilling in auditor jobs and improves audit quality.
The Impact of High-Level Teacher Questioning on Elementary School Students’ Achievement, Retention and Attitude in Science

This research aimed to investigate the impact of high-level teacher questioning on 6th grade students’ science achievement, retention of learning and their attitudes toward science. A quasi-experimental pretest-posttest control group design was employed in this research. Participants consisted of 43 students enrolled in two intact 6th grade classes of a science teacher in a public elementary school. Two classes were assigned as either an experimental group or a control group randomly. Students in both groups were taught electricity concepts through student centered activities aligned with the national elementary school science curriculum. Difference between the two groups was the type of questions used by the teacher during the instruction. Background Questionnaire, Science Achievement Test, Attitude Scale and Structured Interview Form were used to collect data. ANCOVA results revealed a significant difference in science achievement and retention of learning across two groups, in favor of experimental group. However, independent t-test results demonstrated that students’ attitudes toward science were not significantly different across the groups. Moreover, interview results supported the findings obtained from the achievement test.
Non-Equilibrium Capillary Electrophoresis of Equilibrium Mixtures-Based Affinity Separation and Selective Enrichment of a Long-Length DNA Aptamer

Non-equilibrium capillary electrophoresis of equilibrium mixtures (NECEEM) is a kinetic capillary electrophoresis method used for the affinity analysis of DNA binding to proteins or ligands as well as a rapid selection of DNA aptamers. However, long DNA strands (100-mer or more) are generally difficult to analyse by this method owing to their poor peak separation. Herein, we report optimized conditions (use of a neutral phosphate buffer with an ionic strength of 0.074 as a binding buffer and use of an 80-cm fused silica capillary with a 75-μm internal diameter) for the peak separation of a 100-mer thrombin-binding DNA aptamer-target complex and its consequent enrichment using the NECEEM-based capillary electrophoresis–systematic evolution of ligands by exponential enrichment (CE-SELEX) method.
A socio-economic system for affect: dreaming of cooperative relationships and affect in Bermuda, Preston, and Mondragón

The post-global financial crisis era has presented sharp economic challenges to businesses and communities, accompanied by doubts about democratic processes and distrust of “facts” amid the retrenchment on economic, environmental, and social aspects of citizen’s lives. In this context, cooperative organisations—with their emphasis on principles of mutual governance—present models of alternative organisational systems for a post-growth future. This article examines the cooperative sphere to draw out how “affect” and “relationships” in cooperatives may radically alter the sense of working democratically. It draws on methods of social dreaming and free association to examine cooperative development in three cases at different developmental stages: in Hamilton, Bermuda; Preston, UK; and Mondragón, Basque Country. It examines evidence of the way relationships and affect may emerge in organisational systems that place a focus on participatory democracy as opposed to hierarchical structures. We draw from intensive work in these cases to consider the distinctive background and contextual features that may be present within cooperative development pro-cesses. This article concludes that cooperative working can foster developmental relationships and present distinctive expressions of the affective realm over time.
Development and verification of immune-related long non-coding RNA prognostic signature in bladder cancer

Background: Bladder cancer is the second most common malignant tumor in urogenital system. The research aimed to investigate the prognostic role of immune-related long non-coding RNA (lncRNA) in bladder cancer. Methods: We extracted 411 bladder cancer samples from The Cancer Genome Atlas database. Single-sample gene set enrichment analysis was employed to assess the immune cell infiltration of these samples. We recognized differentially expressed lncRNAs between tumors and paracancerous tissues, and differentially expressed lncRNAs between the high and low immune cell infiltration groups. Venn diagram analysis detected differentially expressed lncRNAs that intersected the above groups. LncRNAs with prognostic significance were identified by regression analysis and survival analysis. Multivariate Cox analysis was used to establish the risk score model. The nomogram was established and evaluated by receiver operating characteristic (ROC) curve analysis, concordance index (C-index) analysis, calibration chart, and decision curve analysis (DCA). Additionally, we performed gene set enrichment analysis to explore the potential functions of the screened lncRNAs in tumor pathogenesis.Results: Three hundred and twenty differentially expressed lncRNAs were recognized. We randomly divided patients into the training data set and the testing data set at a 2: 1 ratio. In the training data set, 9 immune-related lncRNAs with prognostic significance were identified. The risk score model was constructed to classify patients as high- and low-risk cohorts. Patients in the low-risk cohort had better survival outcomes than those in the high-risk cohort. The nomogram was established based on the indicators including age, gender, TNM stage, and risk score. The model’s predictive performance was confirmed by ROC curve analysis, C-index analysis, calibration chart, and DCA. The testing data set also achieved similar results. Bioinformatics analysis suggested that the 9-lncRNA signature was involved in modulation of various immune responses, antigen processing and presentation, and T cell receptor signaling pathway.Conclusions: The immune-related lncRNAs have the potential to predict the prognosis of bladder cancer and may play a key role in bladder cancer biology.Trial registration: It was a retrospective study and the gene expression data were obtained from the TCGA database. Trial registration was not needed.
The Mediating Effect of Perceived Organizational Support between Talent Development and Employee Engagement at Malaysian GLCs

The study analyzed the relationships between talent development, perceived organizational support and employee engagement among employees at Malaysian government-linked companies (GLCs). Questionnaires were distributed and gathered from 164 employees at 47 GLCs and Partial Least Squares Structural Equation Modeling (PLS-SEM) technique was used to test the research hypotheses. The findings discovered that all the hypotheses proposed in this study are supported. There were significant and positive relationships between talent development, perceived organizational support and employee engagement (vigor, dedication, absorption), and perceived organizational support significantly mediates between talent development and employee engagement. The results of the study suggest that talent development activities are crucial in improving the level of employee engagement at the workplace, which subsequently enable companies to sustain high productivity and gain competitive advantage.
Deep_Saliency: A Deep Learning based Saliency Approach to detect Covid-19 through x-ray images

Covid-19 a small virus has created a havoc in the world. The pandemic has already taken over 4 lakh lives. The tests to detect a Covid-19 positive takes time and is costly. Moreover, the ability of the virus to mutate surprises the doctors every day. Present paper proposes a saliency-based model called Deep_Saliency. The model works on chest x-rays of healthy, unhealthy, and covid-19 patients. An x-ray repository of Covid-19, available in public domain, is taken for the study. Deep_Saliency uses visual, disparity, and motion saliency to create a feature dataset of the x-rays. The collected features are tested and trained using Long Short-Term Memory (LSTM) network. A predictive analysis is performed using the x-ray of a new patient to confirm a Covid-19 positive case. The first objective of the paper is to detect Covid-19 positive cases from x-rays. The other objective is to provide a benchmark dataset of biomarkers. The proposed work achieved an accuracy of 96.66%.
Using Mixed Technique of Kansei Engineering, Kano Model, and Taguchi-based Experiment Design to Improve Satisfaction and Participation of Football Spectators at Stadiums

In football industry, the sports managers should include meeting of demands and needs of spectators on their agenda. However, this study aimed to determine the needs of spectators in Iranian Football Premier League. For this purpose, Kansei engineering method, Kano model, and Taguchi method were used to collect data. First, the emotional needs (41 needs) of spectators were identified. Using Kano model, then, these emotional needs were included in a four-level questionnaire which was designed for spectators of Iranian Football Premier League; it was distributed among 400 individuals. In order to achieve optimal situation, 7 basic needs were considered in designing the experiments. These 7 needs were analyzed in a three-tier spectrum. The findings showed that Iran's sports authorities, especially the Football Federation, may improve the satisfaction and attendance of spectators in stadiums if they improve the physical and security conditions of football stadiums and remove the existing obstacles including presence of women and presence with family in stadiums. The football clubs may also help achieve this goal by employing qualified and popular players and coaches.
Dual-comb spectroscopy with spectral acquisition rate surpassing Nyquist-limited trade-off constraint

Optical frequency comb with evenly spaced lines over a broad bandwidth has revolutionized the fields of optical metrology and spectroscopy. Despite dual-comb spectroscopy (DCS) offers a superb overall performance on spectral resolution, measurement bandwidth and refresh rate, these parameters are still constrained by the Nyquist-limited trade-off. Here, we propose a novel DCS system to overcome this limitation with tens of spectral acquisition rate improvement, which is built with two electro-optic frequency combs seeded by an ultralinearly swept light source. The proposed scheme records a spectrum spanning 304 GHz with a spectral resolution of 10 kHz in 1.6 ms, which achieves a spectral sampling-rate of 1.9×1010 points/s. We also demonstrate the 100-averaged results with 28.9 dB signal-to-noise ratio for high sensitivity measurement. The demonstration shows great prospect for precise measurement with significant performance breakthrough.
Chronotype and its association with lifestyle, health-related quality of life and academic performance among Japanese nursing students: A cross-sectional study

Background: Generally, nursing university students struggle with academic work, that consequently bring about delayed bed time, insufficient sleep and worsened daytime functioning. The purpose of the present study is to clarify chronotype and its association with lifestyle, health-related quality of life and academic performance among nursing students.Methods: Self-reported questionnaires were distributed to undergraduate nursing students at six universities. Chronotype was assessed using the morningness-eveningness questionnaire. The generalized linear mixed effect model was utilized to identify the related factors with evening type among female nursing students (n = 447). Results: About 18% of Japanese female nursing students were identified as evening type. Evening type was associated with living alone, part-time job and club activity. Sleep duration on weekdays was shorter, meal time duration was the shortest, and the percentages of students who skipped meals and those who gained body weight were higher in the evening type than in the morning type and intermediate type. Mental health-related quality of life was lower in the intermediate type and evening type than in the morning type, while there was no difference in physical health-related quality of life among chronotype groups. The percentages of the nursing students who have experienced absence, tardiness, falling asleep during class and/or interference with academic achievement were higher in the evening type than in other chronotypes.Conclusions: Education of sleep hygiene and a healthy lifestyle to prevent late sleep-wake rhythm would contribute to improve nursing students’ health-related quality of life / academic performance.
Nickel-cobalt-titanate thin films - new sustainable magnetic oxides

Single phase nickel-cobalt-titanate thin films with a formula A1+2xTi1-xO3, where A is Ni2+,Co2+ and -0.25 0) or emptying filled (x<0) octahedra. When x = 1 all octahedra are filled. Two factors controlling the magnetism and crystal distortion are identified. First is a direct overlap between the adjacent cation d-orbitals resulting in a bond formation and magnetic interactions between the cations. This is most clearly revealed as a crystal distortion in the x approximately 0 compositions with approximately equal amounts of Ni and Co: the distortion of the x approximately 0 compound is a function of Ni/Co ratio. The second factor is x, which controls the cation shift towards a vacant octahedron. The displacement decreases and the symmetry increases with decreasing Ti content as was revealed by x-ray diffraction and Raman spectroscopy. When all octahedra are filled the cations prefer octahedron center positions. Also the number density of cations has increased by a factor of 50 percent when compared to the ilmenite structure. The number density ratios of Ni/Co cations between x=1 and x=0 compounds is 3. The Raman and x-ray diffraction data collected on samples with x = 1 or close to 1 are interpreted in terms of P63/mmc space group.
Resonant Mode Coupling Method for the Description of Oscillating Dipoles Emission inside Stacked Photonic Nanostructures

Resonant modes are important characteristics of the optical properties of photonic crystals since they are responsible for the features in the transmission and reflection spectra as well as the emissivity of quantum emitters inside such structures. We present a resonant modes expansion method applied to a problem of radiating dipoles inside a photonic crystal. In stacked photonic crystal slabs, there is a coupling between the resonances of distinct subsystems and Fabry–Perot resonances. We propose a technique to calculate the coefficients of resonant mode expansion based on the scattering matrix formalism of the Fourier modal method (FMM). The method appears to be convenient since it does not require rigorous normalization of resonant fields or application of perfectly matched layers. Then, we demonstrate the agreement between the resonant modes expansion results and exact FMM solutions.
The Concept of Causation and some common Epidemiological study Designs

Epidemiology in its modern form is a relatively new discipline and uses quantitative methods to study diseases in human populations to inform prevention and control efforts [7]. Causation is an essential concept in epidemiology (Figure 1) [7] yet there is no single, clearly articulated definition for the discipline. Causal inference may be viewed as a special case of the more general process of scientific reasoning, about which there is substantial scholarly debate among scientists and philosophers.
Deep survival modelling for shared mobility

With an increased focus on minimizing traffic externalities in metropolitan areas, a growing interest in environmentally friendly and shared mobility systems has emerged, such as electric car-sharing systems. However, increasing demand and larger area coverage often make it difficult to keep cars available where and when customers need them. This problem can be alleviated by predicting for how long cars stay vacant at given pick-up/drop-off locations. To maximize their usage, it can be more beneficial to relocate the cars at certain periods to more desired locations. In this paper, we tackle the problem of predicting time-to-pickup for shared cars in a probabilistic way as a function of time by applying time-to-event modelling through survival analysis. Both statistical and deep neural network approaches to survival regression were investigated. The Cox proportional hazards model (CPH) is compared to the deep neural network model DeepSurv. To predict survival times, a two-step approach was formulated, where in the upper level a classification is used to classify cars into two groups based on idle time duration, whereas in the lower level for each given group time-to-event modelling is applied. DeepSurv method demonstrated a stronger fit compared to CPH. The two-step approach resulted in over 15% improvement in performance, comparing to the one-step approach, where no classification is used.
Post Method Language Teaching Within the Implementation of 2013 Curriculum

This research aims to find out know the problem in implementing the 2013 curriculum and offers an alternative solution to this problem by incorporating several principles of post method language teaching. The data were collected through the interview with the English teachers in SMPN 1 Malalak regarding the obstacles they faced in the 2013 curriculum implementation. The data were qualitatively analyzed and the principles of post method language teaching were descriptively incorporated into the problems found in order to provide their alternative solutions. The research findings reveal that the problems of implementing the 2013 curriculum in this school are teachers‟ unreadiness, students‟ low level, and application of scientific approach and that the post method language teaching can serve as an alternative solution since it allows more flexibility in the learning process through involving students‟ and teachers‟ in the process. In conclusion, the issues in the implementation of 2013 curriculum come from the teachers‟ and students‟ as well as the teaching method required to be applied by curriculum. To overcome this, the teachers can apply the principle of post method language teaching in the learning process.
Current Progress of Capacitive Deionization for Removal of Pollutant Ions

Abstract A mini review of a recently developing water purification technology capacitive deionization (CDI) applied for removal of pollutant ions is provided. The current progress of CDI for removal of different pollutant ions such as arsenic, fluoride, boron, phosphate, lithium, copper, cadmium, ferric, and nitrate ions is presented. This paper aims at motivating new research opportunities in capacitive deionization technology for removal of pollutant ions from polluted water.