Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Executive Functions in Children

Executive functions (EFs) are a range of goal-directed cognitive abilities. According to one approach, suggested by according to one approach, there are three main EFs; inhibition, shifting, and updating of working memory. EFs are important, in part because of their ability to predict clinical, educational, and functional outcomes. However, EFs have been assessed using a range of cognitive tasks and behavioural rating measures. This chapter will provide an overview of a range of executive function assessments used to assess EFs in childhood, with a focus on inhibition, shifting, and updating of working memory. It will consider the measurement properties of these tools, including data relating to reliability and validity. The measures will then be considered in terms of their suitability for different purposes and in relation to their use with children of different ages and abilities.
Optimal Rotating Receiver Angles Estimation for Multicoil Dynamic Wireless Power Transfer

This study proposed an approach to dynamic wireless charging that uses a rotating receiver coil. Our simulation study focused on the verification of a novel way of increasing the coupling coefficient and power transfer stability by following the flux of the transmitting coils. To obtain the highest possible coupling by means of the FEM analysis, we studied the optimization of the trajectory of the angular velocity of the rotating receiver. The coupling coefficient trajectories that were obtained were simulated by means of the state space model with three transmitters. Our comprehensive analysis showed that the proposed approach of wireless power transmission enabled a 40% increase in the usage of track space.
Use of Real-Time Traffic and Signal Timing Data in Modeling Occupant Injury Severity at Signalized Intersections

This study explored the use of real-time traffic events and signal timing data to determine the factors influencing the injury severity of vehicle occupants at intersections. The analysis was based on 3 years (2017–2019) of crash and high-resolution traffic data. The best fit regression was first identified by comparing the conventional regression model and logistic models with random effect. The logistic model with a heavy-tailed distribution random effect best fitted the data set, and it was used in the variable assessment. The model results revealed that about 13.6% of the unobserved heterogeneity comes from site-specific variations, which underlines the need to use the logistic model with a random effect. Among the real-time traffic events and signal-based variables, approach delay and platoon ratio significantly influenced the injury severity of vehicle occupants at 90% Bayesian credible interval. Additionally, the manner of a collision, occupant seat position, number of vehicles involved in a crash, gender, age, lighting condition, and day of the week significantly affected the vehicle occupant injury. The study findings are anticipated to provide valuable insights to transportation agencies for developing countermeasures to mitigate the crash severity risk proactively.
Penerapan GMP dan SSOP dalam Proses Produksi Rendang Daging di Produsen Rendang Istana Rendang Jambak

Rendang is a Minangkabau typical food made from meat cooked with coconut milk and additional spices for 4-6 hours using a wood stove and a semi-closed place, where the rendang is made potentially contaminated with contamination during production. This study aims to evaluate the application of the basic requirements of food safety standards, namely GMP and SSOP during the production process at the rendang producer, Istana Rendang Jambak. Data were taken based on observations and interviews of workers and owners. The assessment of conformity with the application of GMP in rendang producers, Istana Rendang Jambak, obtained a score of 34.17%-85.00%, with a deviation value of 213 from the overall value of 468. The assessment of conformity with the application of SSOP obtained a value of 0.00%-68.75%, with a deviation value of 79 from the overall value of 120. Rendang Palace Jambak is sufficient to meet the principles of GMP, but does not meet FDA requirements regarding SSOP.
Pet Caretaking and Risk of Mild Cognitive Impairment and Dementia in Older US Adults

ABSTRACT The purpose of this study was to compare risk factors for dementia in pet caretakers and non-pet caretakers in adults aged 50 years and older, and to examine the association between pet caretaking and conversion of normal baseline cognition to mild cognitive impairment (MCI) and conversion of baseline MCI to dementia over a 12-year timespan, accounting for confounding variables. Data were drawn from the Health and Retirement Study, a longitudinal cohort study based on a national probability sample of US adults aged 50 years and older. Study participants included those who reported taking care of a pet (n = 673) and those who reported not taking care of a pet (n = 1,578) for 12 years (2002–2014). As age increased, the odds of pet caretaking decreased, Black participants had lower odds of pet caretaking than White participants, and those engaging in more physical activity had higher odds of pet caretaking, yet those who had diabetes and a history of smoking also had higher odds of pet caretaking. When adjusted for potentially confounding baseline factors, there was no evidence that the risk of MCI among those with normal baseline cognition or dementia among those with baseline MCI differed between pet caretakers and non-caretakers (p = 0.52 and p = 0.39, respectively). This study provides evidence for the associations between pet caretaking with younger age, race (White), and more physical activity in older adults. However, pet caretakers had higher odds of diabetes and history of smoking, and there was no link with incident MCI or dementia. More research is warranted to determine if physically active older adults acquire pets, if pet caretaking improves physical activity, if pets are the reason why older adults with diabetes decide to own pets, and if pets affect diabetes or other health outcomes.
Huey Newton’s Lessons for the Academic Left

The Black Panther Party was founded to bridge the radical theorizing that swept college campuses in the mid-1960s and the lumpen proletariat abandoned by the so-called ‘Great Society’. However, shortly thereafter, Newton began to harshly criticize the academic Left in general for their drive to find ‘a set of actions and a set of principles that are easy to identify and are absolute. ’ This article reconstructs Newton’s critique of progressive movements grounded primarily in academic debates, as well as his conception of vanguard political theory. Newton’s grasp of revolution as a gradual, open, and above all dialectical process, not only provides a corrective to many dominant academic accounts of the nature of progressive change but, more importantly, it also grounds an emancipatory philosophy that can direct collective struggle, precisely because it remains grounded in the imperfect and internally conflicted lives of those whose freedom is to be won through it.
AUDD: Audio Urdu Digits Dataset for Automatic Audio Urdu Digit Recognition

The ongoing development of audio datasets for numerous languages has spurred research activities towards designing smart speech recognition systems. A typical speech recognition system can be applied in many emerging applications, such as smartphone dialing, airline reservations, and automatic wheelchairs, among others. Urdu is a national language of Pakistan and is also widely spoken in many other South Asian countries (e.g., India, Afghanistan). Therefore, we present a comprehensive dataset of spoken Urdu digits ranging from 0 to 9. Our dataset has 25,518 sound samples that are collected from 740 participants. To test the proposed dataset, we apply different existing classification algorithms on the datasets including Support Vector Machine (SVM), Multilayer Perceptron (MLP), and flavors of the EfficientNet. These algorithms serve as a baseline. Furthermore, we propose a convolutional neural network (CNN) for audio digit classification. We conduct the experiment using these networks, and the results show that the proposed CNN is efficient and outperforms the baseline algorithms in terms of classification accuracy.
Effect of strategic leadership capabilities on the development of organizational citizenship behavior

Committed employees always demonstrate their organizational citizenship behavior by offering services beyond their leaders’ expectations. They achieve their goals under the leadership of executives with the capabilities to guide the organization to the future. This study examines the impact of strategic leadership capabilities on organizational citizenship behavior in companies offering mobile services in Zimbabwe. To collect data, a survey research method is employed using a 5-point Likert scale questionnaire. Ninety-four questionnaires were randomly distributed to employees of three mobile service providers and a sector regulator in Harare province, Zimbabwe. Eighty-seven questionnaires were completed and returned. Data analysis follows a multiple regression method using the IBM SPSS v27 software to test hypotheses. The study also employs the Sobel test to investigate the mediation effect of organizational commitment on organizational citizenship behavior. Regression model results show that strategic leadership capabilities have a significant effect on organizational citizenship behavior. They further have a statistically significant effect on organizational citizenship behavior through organizational commitment. The results suggest that strategic leaders in the mobile phone sector in Zimbabwe should develop and strengthen strategic leadership capabilities to drive the commitment of their employees to encourage the development of organizational citizenship behavior. Committed employees will offer their services beyond their call of duty.
Basic psychological need satisfaction and frustration in Mexican teachers: psychometric properties, structure and factor invariance | Satisfacción y frustración de necesidades psicológicas básicas en docentes mexicanos: propiedades psicométricas, estructura e invarianza factorial

AbstractThe aim of this study was to examine the psychometric properties, structure, and factorial invariance regarding the gender of the Basic Psychological Need Satisfaction and Frustration Scale adapted to the educational work context. A total of 568 teachers from 74 schools (63% women, 37% men) between 18 and 63 years of age (Mage = 37.37; SD = 10.37) participated. The results revealed adequate goodness-of-fit indexes for the proposed models (two and six factors); the six-factor model presented a better fit to the data. The reliability of the different subscales was adequate and presented evidence of strict factorial invariance with regard to gender groups. In conclusion, the Basic Psychological Need Satisfaction and Frustration Scale is a reliable and valid instrument, based on the theory of self-determination that can be used to measure the degree of satisfaction and frustration of autonomy, competence, and relatedness in the educational work context of Mexico.ResumenEl objetivo del estudio fue examinar las propiedades psicométricas, estructura e invarianza factorial respecto al sexo de la Basic Psychological Need Satisfaction y Frustration Scale adaptada al contexto laboral educativo en México. Participaron 568 profesores de 74 planteles educativos (63% mujeres, 37% hombres) con edades comprendidas entre 18 y 63 años (Medad = 37.37; DT = 10.37). Los resultados revelaron índices de bondad de ajuste adecuados para los modelos propuestos (dos y seis factores), de los cuales, el modelo de seis factores presentó mejor ajuste a los datos. Las fiabilidades de las diferentes subescalas fueron adecuadas y se presenta evidencia de invarianza factorial estricta respecto a los grupos de sexo. En conclusión, la escala satisfacción y frustración de las necesidades psicológicas básicas es un instrumento fiable y válido, basado en la teoría de la autodeterminación que puede ser utilizado para medir el grado de satisfacción y frustración de autonomía, competencia y relaciones en el contexto laboral educativo de México.
Stock Market Volatility Transmission and Interlinkage: Evidence from BRICS

No isolated financial markets are available due to global financial integration through trade liberation and FDI presence. Therefore, financial markets are subject to response to home economy events and pair economy movements. The study's motivation is to investigate the volatility transmission and interlinkage between financial markets in BRICS nations from January 01, 2001 to December 31, 2019. The study applies unit root tests, the test of cointegration, ARCH-GARCH effects, and the Non-granger causality test to expose interlinkages. Results of unit root tests expose variables are integrated in mixed order, i.e., few variables are stationary at a level I (0), and few variables are after first difference I (0). The cointegration test reveals the long-run association available in the empirical model, implying that the long-run BRICS stock markets act in the same direction. Results of ARCH-GARCH (1.1) disclose the presence of volatility persistence in the financial markets. Furthermore, the directional causality under the error correction term discloses that the feedback hypothesis explains the causality among financial markets in BRICS nations in the long run. On the other hand, a similar conclusion also derives from the Non-granger causality test.
Tricuspid Annular Systolic Velocity to Left Ventricular Outflow Velocity Time Integral Ratio: Proof of Concept Utility Analysis

Background The tricuspid annular plane systolic excursion (TAPSE) / pulmonary artery systolic pressure (PASP) ratio has been a useful marker of right ventricular (RV)-pulmonary artery coupling. However, given the intricate functional and mechanical interdependence of the right and left ventricles, we believe this ratio would be less useful when assessing reduced left ventricular (LV) systolic function. Instead, we proposed using the tricuspid annular tissue Doppler imaging systolic velocity to LV outflow tract velocity time integral ratio (TA TDI s’ / LVOT VTI r) for this purpose. Methods For this proof-of-concept study, a retrospective analysis was conducted on 60 patients with complete echocardiographic studies while in sinus rhythm. The population was divided as follows; Group 1 included 20 individuals with normal left ventricular ejection fraction (LVEF) as well as normal RV and PASP. Group 2 was composed of 20 patients known to have been evaluated or treated for pulmonary hypertension, while group 3 was comprised of 20 patients treated for heart failure (HF). Results TAPSE/PASP ratios were no different from any of the studied groups. However, the proposed TA TDI s' /LVOT VTI r was statistically different among all three groups (Group 1: 0.6 ± 0.1*; Group 2: 0.5 ± 0.1°; and Group 3: 0.8 ± 0.3#; p < 0.001). Conclusions Based on these results, there is now a need for additional prospective studies to explore the overall utility of using this TA TDI s' / LVOT VTI r in day-to-day routine assessments not only for diagnostic purposes but also to determine how this ratio correlates with symptoms and changes with therapy.
Integration of Nonprobability and Probability Samples via Survey Weights

Probability sample encounters the problems of increasing cost and nonresponse. The cost has rapidly been increasing in executing a large probability sample survey, and, for some surveys, response rate can be below the 10 percent level. Therefore, statisticians seek some alternative methods. One of them is to use a large nonprobability sample (S_1 ) supplemented by a small probability sample (S_2 ). Both samples are taken from the same population and they include common covariates, and a third sample (S_3 ) is created by combining these two samples; S_1 can be biased and S_2 may have large sample variance. These two problems are reduced by survey weights and combining the two samples. Although S_2 is a small sample, it provides good properties of unbiasedness in estimation and of survey weights. With these known weights, we obtain adjusted sample weights (ASW), and create a sample model from a finite population model. We fit the sample model to obtain its parameters and generate values from the population model. Similarly, we repeat these processes for other two samples, S_1 and S_3 and for different statistical methods. We show reduced biases of the finite population means and reduced variances.as the combined sample size becomes large. We analyze sample data to show the reduction of these two errors.
When Do Private Actors Engage in Censorship? Evidence From a Correspondence Experiment with Russian Private Media Firms

Abstract In authoritarian regimes, repression encourages private actors to censor not only themselves, but also other private actors—a behavior we call “regime-induced private censorship. ” We present the results of a correspondence experiment conducted in Russia that investigates the censorship behavior of private media firms. We find that such firms censor third-party advertisements that include anti-regime language, calls for political or non-political collective action, or both. Our results demonstrate the significance of other types of censorship besides state censorship in an important authoritarian regime and contribute to the rapidly growing literature on authoritarian information control.
Psychological well-being in college students: Psychometric properties of the Brief Inventory of Thriving (BIT) and the Comprehensive Inventory of Thriving (CIT)

The purpose of the present study is to investigate the psychometric properties of two integrative inventories of psychological well-being– the Brief Inventory of Thriving (BIT) and the Comprehensive Inventory of Thriving (CIT)– that could be widely used among Turkish young adults. This study also aimed to examine whether students with severe psychological health symptoms reported higher levels of loneliness, lack of control, and negative feelings, and fewer positive domains of the CIT (e.g., support, belonging, positive feelings, and self-efficacy). The participants of this study included 314 Turkish undergraduate students (76% female with an age range of 18–47 years [M = 22.83, SD = 4.09]) from a state university in Turkey. Confirmatory factor analyses showed good psychometric fit statistics of both the CIT and BIT, confirming the latent structure of inventories. Factor loadings of the CIT items were strong, with robust indicator reliabilities. With regard to the concurrent validity of the measures, the study results showed that the domains and the brief version of the measure had significant correlations with psychological health symptoms. Additionally, individuals with severe mental health symptoms reported fewer positive psychological domains of psychological well-being, whereas having higher negative domains of psychological well-being than those with mild symptoms. Specifically, Cohen's d effect sizes were large for some social resources and subjective well-being domains. Overall, these results provide evidence suggesting that both the CIT and BIT could be used to assess psychological well-being among Turkish young adults.
A Modeling of an Intelligent System for Learning Result Prediction to Reduce Drop-Out of Undergraduate Students

The objectives of this research were to; 1) analyze the factors of an intelligent system for learning result prediction to reduce drop-out of undergraduate students. 2) construct a modeling of an intelligent system for learning result prediction to reduce drop-out of undergraduate students. The samples were 141 undergraduate students who study English Education program in Academic year 2012-2014 at Kanchanaburi Rajabhat University by purposive sampling. The research results were as follows 1) the factors analysis was based on the attribute weight indexing technique using the Information Gain method. The learning results prediction factors had 14 factors, for example, mean of GPA from semester 1 to 5 and learning results about 9 subjects, 2) constructing a modeling of an intelligent system for learning result prediction to reduce drop-out of undergraduate students by measuring the quality with Cross-validation Test; 10-fold cross-validation and Naïve Bayes technique, the highest accuracy index is 84.33 percent, and followed by the creation of student’s learning result prediction by using Decision Tree technique, 73.86 percent of accuracy index.
Trajetória de educação na pós-graduação e atuação profissional de egressos de Odontologia

Avaliar a trajetória de graduados em Odontologia é importante para garantir o alinhamento adequado dos currículos odontológicos às necessidades da sociedade. Este estudo observacional transversal descritivo teve como objetivo caracterizar o perfil sociodemográfico-familiar e a trajetória de educação na pós-graduação e de atuação profissional de cirurgiões-dentistas egressos de universidade pública do Sul do Brasil. Foram convidados a participar do estudo todos os egressos que concluíram a graduação em Odontologia nesta universidade, entre 2007 e 2019. A coleta de dados aconteceu pelo autopreenchimento de instrumento semiestruturado online, pré-testado, organizado em três dimensões (perfil sociodemográfico-familiar, educação na pós-graduação e atuação profissional). A análise das questões objetivas foi realizada por estatísticas descritivas e as abertas pela análise temática de conteúdo. Participaram do estudo 245 cirurgiões-dentistas (percentual de resposta: 25,7%). A maioria eram mulheres (68,6%), com 26 a 32 anos (73,9%), solteiros (71,4%), sem filhos (92,7%), naturais (51,4%) e residentes (59,2%) na cidade onde cursaram Odontologia e trabalham (67,5). A renda pessoal mensal foi de 5 a 10 salários mínimos (36,7%). Atuam na Odontologia (97,1%) e estão satisfeitos com a profissão (79,6%). Realizaram ou estão realizando cursos de pós-graduação (94,3%), concluídos em até três anos após a graduação (58%), principalmente especialização (62,8%), nas áreas de Saúde Coletiva, Ortodontia e Implantodontia. Setor privado mostrou-se o maior empregador dos cirurgiões-dentistas (60,8%), entretanto, a atuação no serviço público cresceu entre os egressos de 2010-2019 (2,4% para 20,7%). Estudos de acompanhamento destes egressos são recomendados para avaliação do curso e das demandas/desafios contextuais que caracterizam a profissão de cirurgião-dentista no Brasil.
Collaborative writing in L2 classrooms: A research agenda

Abstract Research on second language (L2) collaborative writing (CW) has proliferated over the recent decade and will continue to bloom due to the changing landscape of writing and learning in the digital age. This article provides a research agenda on CW in L2 classrooms. We illustrate six research themes for future research inquiry by pointing out the research gap, following a brief review of theoretical frameworks and existing empirical efforts on CW. We then expound on six specific research tasks that we deem to be pressing for this domain to progress, including more attention to multimodal CW, expanded frameworks for analyzing peer interaction and writing products, deployment of underused research techniques and improved research practice, development of CW assessment practice, as well as the inquiry of practitioners’ input on CW. We hope to provide guidance for future research endeavors by identifying avenues of investigations on CW and meanwhile contribute to the trajectory of vibrant research on L2 writing and language learning.