Miracle-dz/UniFAR-FTUs huggingface dataset:
Young Film and Television Professionals: The Impact of Gender on Career Decision Self-Efficacy

The film and television business is a tough place for women. Over half of the entry-level workforce is made up of women, yet only 21% of workers with greater than 20 years of experience are female (Percival and Hesmondhalgh 2014). Studies across a range of fields demonstrate that female representation often drops as experience level increases, describing the widespread phenomenon as a leaky pipeline (Hancock, Baum, and Breuning 2013; Repetti and Hoffman 2018; Sheltzer and Smith 2014). Among individuals who left Hollywood, 68% of women cited parenting as their rationale, though men making up 89% of directors, 81% of writers, and 76% of producers likely had an impact as well (Percival 2020; Smith 2020). Finally, more than 50% of women in film/TV reported sexual harassment at work (Hennekam and Bennett 2017). With these statistics in mind, entering and staying in the film/TV industry is a difficult decision for women, and their confidence in making choices about work could be affected by their treatment (Lucht and Batschelet 2019; Wallis, van Raalte, and Allegrini 2020). Several prior researchers identified the influence of gender on film/TV staff as a topic worthy of further research. In particular, Wenhold and Harrison (2019) call for an examination into how incoming workers perpetuate gender inequality through their expectations of the industry. By measuring gender against career decision self-efficacy (CDSE), a concept coined by Taylor and Betz (1983) that quantifies one’s conviction in their aptitude to make work-related choices, this study can answer this recommendation. Other film/TV scholars have requested insight into how gender creates inequality, new approaches to solve gender-based discrimination in
Insecticidal potential of some indigenous weeds extracts of Bahawalpur Pakistan againstdusky cotton bug (Oxycarenus hyalinipennis) (Costa) (Hemiptera: Lygaidae) under laboratory conditions

Owing to large scale use of chemical insecticides there is always need to find new alternatives to chemical insecticides. This study evaluated the aqueous extracts of three weeds namely Datura alba (Nees), Withania somnifera (Linnaeus) and Chenopodium album (Linnaeus) for insecticidal potential against Oxycarenus hyalinipennis (Costa) (Hemiptera: Lygaeidae) under laboratory conditions. Extracts were prepared from three plant parts e.g., leaves, stems and roots and applied at five concentrations ranging from 1 to 20 %. To check the mortality not because of weed extracts control treatment (water only) was also included as sixth treatment. Mortality of pest insects was assessed after three exposure periods e.g., 24h, 48 hand 72 h. Among the three weeds tested, mortality was more due to extract of D. alba weed which thus proved more toxic compared to other two weeds. Among plant parts, root extracts were more potent than leaves and stem extracts and the more concentration of 20 per cent usually resulted in maximum mortality. Maximum mortality of insects was after 72 h period followed by 48 h and minimum was after 24 h period. However maximum mortality of 60 % in case of D. alba warrants attention towards the options of either increasing concentration (> 20 %) of this extract or to evaluate other extraction type e.g., ethanolic extract to gain maximum mortality against this notorious pest.
Assessing Teachers’ Strategies in Formative Assessment: The Teacher Formative Assessment Practice Scale

A significant challenge in studying formative assessment is the lack of suitable instruments for assessing teachers’ formative assessment practices. This paper reports the development of the Teacher Formative Assessment Practice Scale (TFAPS) and its psychometric properties based on two samples of primary and secondary school teachers: one from Hong Kong (N = 449) and the other from Italy (N = 309). Exploratory factor analysis identified two distinct factors, including teacher-directed formative assessment (TdFA, six items) and student-directed formative assessment (SdFA, four items). The confirmatory factor analysis supported this two-factor structure. Rasch analysis provided further psychometric evidence regarding scale dimensionality and item quality. This study suggests that TFAPS is an appropriate instrument for assessing teachers’ formative assessment practices, but the cultural influence on teachers’ formative assessment practices should be noted in the applications of the instrument.
Incentive Schemes Increase Risky Behavior in a Safety-Critical Working Task: An Experimental Comparison in a Simulated High-Reliability Organization

As financial incentive schemes have the tendency to increase risky behavior, we analyzed their effect on rule-related behavior in a safety-critical task. We compared risky behavior (in terms of the amount of rule violations) between three payment condition: continuous, up-front, and bonus pay. Fifty-nine participants were trained as production personnel to conduct a start-up procedure of a simulated wastewater treatment plant, representing a high reliability organization. During the 5-h experimental study, risky behavior could have been applied 48 times while building a simulated production year. The results show that the conditions with an incentive scheme (up-front and bonus pay) led to significantly more rule violations than the condition with continuous payment without an incentive scheme. Our study highlights the general increased risk effect of incentive schemes and provides a starting point for industries to assess their implicit and explicit incentive schemes.
Impact of Unemployment on Economic Growth in Nigeria from 1990–2020

This study investigated the impact of unemployment on economic growth in Nigeria from 1990 to 2020. Population rate, unemployment rate and labour force were used as independent variables while Gross domestic product (GDP) as dependent variable. Annual time series data on our targeted variables were obtained from secondary sources including the Central Bank of Nigeria annual statistical bulletin, World Bank development indicators (various years). The Eview9 Statistical Software was employed to analyze the data empirically. The Unit root test shows that Gross domestic product, unemployment rate and labour force variables to be evaluated are all stationary after first deference I(1) while population rate was stationary at level I(0). The data were analyzed using the Autoregressive distributed lag (ARDL). From the results of the ARDL estimates it was revealed that among others, unemployment rate impact negatively on GDP but significant only in the long run. Population rate also impacts on gross domestic product but only significant in the short run. Labour force impact positively on Gross domestic product and statistically significant in the short run. The study recommends amongst others that government should create jobs mostly for the real sector, that is agriculture and manufacturing sectors –The Nigerian agricultural sector employs about seventy percent of the population mostly at subsistence level. If the Nigerian government supports this sector by making loans available and affordable for those in the agricultural sector, it would boost agricultural output, increase gross domestic product and decrease unemployment rate in Nigeria.
Model of B9N9 Response under External Electric Field: Geometry, Electronic Properties, Reaction Activity

In this paper, we performed the ωB97XD/def2-TZVP method with a density functional theory study on the boron–nitrogen (BN) analogues of cyclo[18]carbon. The geometric structure, polarization properties, and excitation effect were calculated in the presence of an external electric field (EEF). Furthermore, the dual descriptor and Fukui function matrices were employed to predict the tendency towards the electrophilic or nucleophilic reactions of B9N9 under varying EEF strengths. The results show that the application of an EEF will cause the cyclic structure of B9N9 to be considerably distorted towards an elliptical geometry, the polarization to increase, and the reactivity of B9N9 to enhance with the increase in the EEF strength. This is of great significance for further experimental exploration into the catalytic properties of BN fullerenes.
Fertility, electricity and television: is there a link? Evidence from Pakistan, 1990–2018

In 1960s Pakistan, every woman was giving birth to more than 6 children on average. In 2021, Pakistan still has the second-highest fertility rate in South Asia with every woman giving birth to 3.4 children on average. This paper uses four waves of Demographic and Health Survey data to empirically analyze trends in fertility in Pakistan between 1990 and 2018; accounting for wealth, education and locational differences, this paper looks at three additional pathways for reducing fertility: (i) electrification, (ii) access to TV and (iii) family planning commercials broadcast on television. Results show that electricity does not reduce fertility whereas access to television has a significant effect in reducing fertility rates. The content and evolution of Pakistani soap-operas are also discussed, and it is argued that the role models, the types of households and the messages conveyed by these soap-operas may represent strong pathways for the fertility decline.
Prevalence and Risk Factors of Poor Sleep Quality in Collegiate Athletes during COVID-19 Pandemic: A Cross-Sectional Study

The COVID-19 pandemic has changed our lifestyle, sleep and physical activity habits. This study evaluated the prevalence of poor sleep quality, its disrupters, and the impact of the pandemic in collegiate athletes. We performed a cross-sectional study of collegiate athletes (N = 339, median age: 20 (IQR,19–21) years old, 48.5% female, 47% individual sports) who received a web-based questionnaire in April 2021. This survey included subject characteristics, chronotype, sleep disrupters, the changes due to the pandemic and sleep quality (Pittsburg Sleep Quality Index [PSQI]). A multivariate linear regression was performed to assess the relationship between sleep quality, gender, chronotype, sleep disrupters and the changes to training volume or sleep. Results showed a disrupted sleep quality in 63.7%. One in five students had a total sleep time under 6.5 h per night. Poor sleep quality was significantly correlated with nocturnal concerns related to the pandemic, evening chronotype, female gender, third year of study, caffeine consumption and lack of sleep routine (all p < 0.05). To conclude, poor sleep quality is common in collegiate athletes. Sleep disrupters remain prevalent in the lifestyle habits of this population and may have been exacerbated by changes related to the COVID-19 pandemic. Sleep hygiene should become a major aspect of sports education during the return to post-covid normality.
Computational Screening of Metal-Organic Frameworks for Ethylene Purification from Ethane/Ethylene/Acetylene Mixture

Identification of high-performing sorbent materials is the key step in developing energy-efficient adsorptive separation processes for ethylene production. In this work, a computational screening of metal-organic frameworks (MOFs) for the purification of ethylene from the ternary ethane/ethylene/acetylene mixture under thermodynamic equilibrium conditions is conducted. Modified evaluation metrics are proposed for an efficient description of the performance of MOFs for the ternary mixture separation. Two different separation schemes are proposed and potential MOF adsorbents are identified accordingly. Finally, the relationships between the MOF structural characteristics and its adsorption properties are discussed, which can provide valuable information for optimal MOF design.
Spatial Flow Pattern, Multi‐Dimensional Vortices, and Junction Momentum Exchange in a Partially Covered Submerged Canopy Flume

This study experimentally investigated the influence of a model‐submerged canopy on three‐dimensional hydrodynamic structures in a partially obstructed flume. Canopy density, water discharge, and water depth were varied to achieve generalized conclusions. With tracer experiments, multi‐dimensional (vertical and horizontal) large‐scale coherent vortices arising from both the top and lateral edges of the canopy were visualized. The results of the mean flow and turbulence field show that the hydrodynamic characteristics are highly three‐dimensional, impacted by canopy density and submergence ratio. Typical shear layers are confirmed by scaled velocity distribution with local characteristic velocity and length scales in both vertical and transverse directions along the canopy edges except for the near‐bed region where horizontal vortices are inhibited. Along the canopy edges, the average effect of the vertical coherent vortices overall outweighs that of the horizontal coherent vortices for dense canopies, the ratio of which can be regressed more precisely with the water‐related Reynolds number. The vertical profiles of the longitudinal velocity in the near‐junction region are characterized by near‐bed velocity deflection, strengthened by the increase in canopy density. The negative velocity gradients are found to be more closely related to the drag length‐related Reynolds number. An in‐depth analysis of secondary flows and near‐junction momentum budget has been conducted to show the mass and momentum exchange processes. The results show that multidimensional coherent vortices and turbulence‐induced secondary flows play different roles in mass and momentum exchange, accounting for near‐bed velocity deflections in the junction region.
When Capabilities Backfire: How Improved Hassling Capabilities Produce Worse Outcomes

I formalize interactions between an endogenously rising challenger and a rival defender who can accept the challenger’s rise, go to war before the rise comes to fruition, or degrade the challenger’s growth through low-level conflict operations that I call “hassling. ” The novelty here is that the defender has private information about its hassling capabilities; this implies that the challenger does not know how much it can rise without provoking the defender to hassle or go to war. I find that when the defender’s ability to hassle improves, it can provoke a strategic response in the challenger that undermines the defender’s ability to use its private information productively and results in lower utility for the defender. This model provides insight into both Saddam Hussein’s decision-making leading up to the 2003 US invasion and the stability-instability paradox.
PENGARUH INFLASI, BANK INDONESIA RATE DAN NILAI TUKAR RUPIAH TERHADAP HARGA SAHAM PADA PERUSAHAAN SEKTOR TRANSPORTASI DAN LOGISTIK DI BURSA EFEK INDONESIA PERIODE 2015-2018

Saham merupakan salah satu produk keuangan yang saat ini mulai berkembang dan diminati oleh banyak orang. Pengelompokan saham bisa dibedakan berdasarkan subsektor nya. Adapun salah satu sektor yang ada di pasar saham yaitu sektor transportasi dan logistik. Saat memulai untuk ber investasi saham baiknya seseorang mengetahui apa saja yang menyebabkan naik turun nya harga saham. itulah yang menjadi alasan kenapa penelitian ini diambil yaitu untuk mengetahui penyebab naik turun nya harga saham sektor transportasi dan logistik. Dalam penelitian ini peneliti berfokus pada 3 faktor yang menyebabkan perubahan harga saham yaitu inflasi, BI rate dan nilai tukar. Alasan mengapa peneliti mengambil sektor transportasi dan logistik karena masih sedikit peneliti yang meneliti sektor tersebut dan sektor ini dirasa memiliki prospek yang bagus kedepan nya. Adapun pendekatan dalam penelitian ini yaitu menggunakan pendekatan kuantitaif dengan jenis penelitian kausal. Dan data yang diambil yaitu sumber data sekunder dari website resmi untuk setiap variabel yang diteliti dengan periode waktu tahun 2015 - 2018. Adapun teknik analisis data menggunakan alat bantu software eviews 12 untuk uji asumsi klasik, uji reresi liner berganda dan uji hipotesis. Dari penelitian ini dapat disimpulkan bahwa inflasi, BI rate dan nilai tukar berpengaruh terhadap harga saham sektor transportasi dan logistik.
Network Identification Using μ-PMU and Smart Meter Measurements

The network identification plays a very prominent role for the network operator to accomplish the various objectives such as state-estimation, monitoring, control, planning, and real-time analytics. The network structure varies from time-to-time and its details are often not available with the network operator. To address this issue, in this article, an alternating direction method of multipliers (ADMM) based framework is presented herein to identify the network topology and line parameters using smart meter and microphasor measurement unit (μ) measurements. The presented algorithm is divided into two sections 1) approximate parameter evaluation through regression, to extract the partial topology information and 2) complete network topology identification through the ADMM framework. This algorithm accomplishes the objectives of identifying the network configuration, branch parameters (e.g., conductance and susceptance), and change in branch parameters. Simulation results demonstrate the effectiveness of the presented algorithm on the benchmarked IEEE 13-bus and IEEE 123-bus feeders under various operating scenarios. Furthermore, the presented framework illustrates excellent network identification even with the presence of the stochastic nature of renewable power generation. The presented algorithm exhibits an excellent performance even with the consideration of noise in both measurements. In addition, the comparative performance is carried out on the benchmarked unbalanced IEEE 13-bus and balanced IEEE 33-bus feeders to highlight the efficacy of the presented framework over the state-of-art framework.
Case Study of BIM and Cloud–Enabled Real-Time RFID Indoor Localization for Construction Management Applications

AbstractIn the field of construction, indoor localization of mobile construction resources remains a universal challenge. Although discussions have focused on the tracking accuracy and affordability of indoor localization technologies, few efforts have focused on practical criteria such as ease of use, latency, and data visualization and remote sharing. To close this gap in knowledge, this study introduces a building information modeling (BIM) and cloud-enabled radio-frequency identification (RFID) localization system. The system consists of three main components: the passive RFID localization system, the BIM visualization system, and the cloud computing system. The proposed system is tested in a full-scale implementation on an actual construction site. The test was designed and conducted to evaluate the localization accuracy, data latency, and real-time data processing and visualization for remote monitoring. A comprehensive analysis is made of various practical issues based on the test results and panel.
Classifying High Strength Concrete Mix Design Methods Using Decision Trees

Concrete mix design methods are used to determine proportions of concrete ingredients needed for certain workability and strength. Each mix design method operates under certain assumptions and suggests slightly different proportions. It is of great importance that site/construction engineers know the method by which the mix was designed. However, it can be difficult to know the designing method based solely on mix proportions. Hence, in this work, a decision trees model was used to classify high strength concrete mix design methods based on their produced concrete mix proportions. It was found that the trained decision tree model is capable of classifying mix design methods with high accuracy. Further, based on dimensionality reduction methods, the amount of cement in a concrete mix was found to be the paramount predictor of the used mix design method. In this work, a novel high-accuracy model for determining a mix design method based only on mix proportion is proposed.
Adsorption Behavior and Dynamic Interactions of Anionic Acid Blue 25 on Agricultural Waste

In this study, adsorption characteristics of a negatively charged dye, Acid Blue 25 (AB25), on pomelo pith (PP) was studied by varying the adsorption parameters, with the aim of evaluating the adsorption mechanism and establishing the role of hydrogen bonding interactions of AB25 on agricultural wastes. The kinetics, intraparticle diffusion, mechanism, and thermodynamics of the AB25 adsorption were systematically evaluated and analyzed by pseudo-first-order and pseudo-second-order kinetic models, the Weber–Morris intraparticle and Boyd mass transfer models, the Langmuir, Freundlich, Dubinin–Radushkevich, and Temkin isotherm models, and the Van’t Hoff equation. It was found that AB25 adsorption followed pseudo-second-order kinetics, governed by a two-step pore-volume intraparticle diffusion of external mass transfer of AB25 onto the PP surface. The adsorption process occurred spontaneously. The adsorption mechanism could be explained by the Langmuir isotherm model, and the maximum adsorption capacity was estimated to be 26.9 mg g−1, which is comparable to many reported adsorbents derived from agricultural wastes. Changes in the vibrational spectra of the adsorbent before and after dye adsorption suggested that AB25 molecules are bound to the PP surface via electrostatic and hydrogen bonding interactions. The results demonstrated that the use of pomelo pith, similar to other agricultural wastes, would provide a basis to design a simple energy-saving, sustainable, and cost-effective approach to remove negatively charged synthetic dyes from wastewater.
Modeling Subcutaneous Microchip Implant Acceptance in the General Population: A Cross-Sectional Survey about Concerns and Expectations

Despite the numerous advantages of microchip implants, their adoption remains low in the public sector. We conducted a cross-sectional survey to identify concerns and expectations about microchip implants among potential users. A total of 179 United States adults aged 18–83 years responded to two qualitative questions that were then analyzed using the thematic analysis technique. The identified codes were first categorized and then clustered to generate themes for both concerns and expectations. The prevalence of each theme was calculated across various demographic factors. Concerns were related to data protection, health risks, knowledge, negative affect, ease of use, metaphysical dilemmas, monetary issues, and negative social impact. Expectations included medical and non-medical uses, dismissal of microchips, technical advances, human enhancement, regulations, and affordability. The prevalence of concerns and benefits differed by immigration status and medical conditions. Informed by our findings, we present a modification to the Technology Acceptance Model for predicting public’s behavioral intention to use subcutaneous microchips. We discuss the five newly proposed determinants and seven predictor variables of this model by surveying the literature.