Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relation Between Islamic Business Ethics and The Performance of Traders in The Traditional Market of Cipanas

Cipanas market is the first SNI-certified market in Cianjur, which has the slogan Gerbang Marhamah (Gerakan Pembangunan Masyarakat Berakhlakul Karimah) and the majority of the traders are Muslim. This study aims to analyze the application of Islamic business ethics to the business success of traders in Cipanas Market with a sample of 90 food and food traders. Data were analyzed using Partial Least Square-Structural Equation Modeling (SEM-PLS) and descriptive analysis. The results of data analysis show that management ethics, marketing ethics, and environmental ethics have a positive effect on business success and business blessings have a positive effect on financial improvement, customer growth, and employee loyalty. Overall, the application of Islamic business ethics has a positive effect on the business success of Cipanas market traders. Local government are expected to monitor trading practices in the Cipanas market, such as the accuracy of scales and price games so that sellers maintain ethics in their business.
Geography, ethnicity, genealogy and inter‐generational social inequality in Great Britain

This paper documents population-wide inequalities of outcome in Great Britain amongst and between long-established and more recently arrived family groups. ‘Establishment’ is defined using family group presence in the 1851 Census of Population as a benchmark, and the ethnicity or nationality of more recent migrants is determined through classification of given and family names. Inequalities of outcome are measured
Statistics and Probability Letters

Extreme value modeling has been attracting the attention of researchers in diverse areas such as the environment, engineering, and finance. Multivariate extreme value distributions are particularly suitable to model the tails of multidimensional phenomena. The analysis of the dependence among multivariate maxima is useful to evaluate risk. Here we present new multivariate extreme value models, as well as, coefficients to assess multivariate extremal dependence.
The effects of COVID-19 lockdown restrictions on access to family planning services by women of childbearing age in Harare, Zimbabwe

Objectives: The research aimed to assess the effects of COVID-19 lockdown restrictions on access to family planning services by women of childbearing age in Harare, Zimbabwe Materials and methods: The study used a cross-sectional explanatory research design to assess the effects of lockdown restrictions on access to family planning services by women of childbearing age in Harare, Zimbabwe. A multi-stage cluster sampling was used to select the study respondents, who were women of childbearing age. The researcher used a structured questionnaire to collect information electronically from a sample of 384 women of childbearing age in Harare between December 2021 and January 2022. Statistical Package for Social Scientists (SPSS) was used to analyse the data. The researcher used descriptive statistics to determine the percentage of women who accessed family planning services during the COVID-19 lockdown period. In addition, inferential statistical analysis was used to assess whether there was any significant difference in the level of satisfaction, comfortability, and accessibility of the family planning services by women of childbearing age before the lockdown and during the lockdown. Results: Data analysis revealed that the COVID-19 lockdown greatly affected access to family planning services. The results revealed decreased levels of satisfaction and “comfortability” with the family planning services women were receiving as a result of the COVID-19 pandemic. Conclusion: These results revealed that there is a need for the government to offer resources such as equipment to support mobile clinic services and to provide suitable personal protective equipment to the health workers during pandemics.
Game-Based Learning for Students’ Computational Thinking: A Meta-Analysis

Computational thinking (CT) education has drawn increasing attention from educators and researchers. This study conducted a meta-analysis of 27 empirical studies to examine the effectiveness of game-based learning (GBL) for fostering students’ CT. The effects of various factors on the learning process for acquiring CT were also examined. The results showed that (a) conducting GBL can foster students’ CT, and the overall effect was at the upper-middle level (Hedges’ g = .600, 95% CI [.465, .735], p < .001). (b) Furthermore, conducting GBL can improve students’ CT concepts (Hedges’ g = .916, 95% CI [.410, 1.423], p < .001), CT skills (Hedges’ g = .494, 95% CI [.389, .600], p < .001), and CT perspectives (Hedges’ g = .927, 95% CI [.039, 1.816], p < .05). (c) Additionally, game mode, teaching context, and participant characteristics have positive effects on CT. Based on the findings, it is suggested that using more unplugged games and video games, designing collaborative game activities, and tailoring approaches according to gender difference and programming experience can effectively promote CT. The results have significance for fostering students’ CT in GBL; it is further suggested that instruction processes be rationally designed.
The use of nested desirability functions and quality indices for multi-response robust parameter design problems

ABSTRACT A multi-response robust parameter design (RPD) problem-solving technique based on desirability functions is presented in which the means and variances of all responses are placed on a level playing field. The proposal allows a decision maker to integrate their preferences for the individual means and variances. It is shown that the ensuing operating point is a system setting that produces a mutually robust set of responses. In addition, this article offers an approach to assess several RPD strategies via quality indices. The measures presented here allow for a more knowledgeable and comprehensive evaluation of the competing RPD strategies.
Contributions to unsupervised and nonlinear unmixing of hyperspectral data

Spectral unmixing has been an active field of research since the earliest days of hyperspectralremote sensing. It is concerned with the case where various materials are found inthe spatial extent of a pixel, resulting in a spectrum that is a mixture of the signatures ofthose materials. Unmixing then reduces to estimating the pure spectral signatures and theircorresponding proportions in every pixel. In the hyperspectral unmixing jargon, the puresignatures are known as the endmembers and their proportions as the abundances. Thisthesis focuses on spectral unmixing of remotely sensed hyperspectral data. In particular,it is aimed at improving the accuracy of the extraction of compositional information fromhyperspectral data. This is done through the development of new unmixing techniques intwo main contexts, namely in the unsupervised and nonlinear case. In particular, we proposea new technique for blind unmixing, we incorporate spatial information in (linear and nonlinear)unmixing, and we finally propose a new nonlinear mixing model. More precisely, first,an unsupervised unmixing approach based on collaborative sparse regularization is proposedwhere the library of endmembers candidates is built from the observations themselves. Thisapproach is then extended in order to take into account the presence of noise among theendmembers candidates. Second, within the unsupervised unmixing framework, two graphbasedregularizations are used in order to incorporate prior local and nonlocal contextualinformation. Next, within a supervised nonlinear unmixing framework, a new nonlinearmixing model based on vector-valued functions in reproducing kernel Hilbert space (RKHS)is proposed. The aforementioned model allows to consider different nonlinear functions atdifferent bands, regularize the discrepancies between these functions, and account for neighboringnonlinear contributions. Finally, the vector-valued kernel framework is used in orderto promote spatial smoothness of the nonlinear part in a kernel-based nonlinear mixingmodel. Simulations on synthetic and real data show the effectiveness of all the proposedtechniques
Teacher Emotional Intelligence in Motivating Student Learning at SMPN 24 Batanghari Jambi

This article explains how emotional intelligence an educator's energy is able to give the maximal contribution in motivating to learn the student. The teacher is a professional educator with the special duty of educating, teaching, guiding, instructing, training, assessing and evaluating educated competitors [at the] band of formal education. intelligence a teacher in so many areas is needed, one of them is emotional intelligence. Motivate the part of internal factors and represent psychology in its relation/link with the school activity. Educator energy as a human resource representing a big investment asset which if exploited will become a very valuable capital in reaching the intention of an educational institute beside another capital source. Educator energy as a special component and handle of calyx education plays a very significant role in educational efficacy. For the reason, besides the standard interest which must be owned by a teacher, emotional intelligence plays a role which is significant enough in forming the characteristics of a teacher remembering with the emotional intelligence, a teacher will be able to control his emotions and also be able to play the role it's social with the teacher humanity, students, and also societ
A study of geometrical structure of packed beds using flow simulation with the immersed boundary method

In this work, a new method is proposed for calculation of one of the essentials geometrical parameters characterising a packed bed - tortuosity. The geometry of random packings of cylinders and rings (with various packing densities) is numerically generated with Discrete Element Method approach. For flow calculations in a highly complex geometry of a random packed bed, immersed boundary method is employed (with direct forcing variant). The obtained flow velocity field allows for calculation of tortuosity using two methods: by passive advection of massless particles and by comparison of the mean flow velocity magnitude with the mean streamwise velocity component. It is demonstrated that for the packings of low density these two methods are in a good agreement but may diverge for dense packings. Frequency distribution of tortuosity values for individual flow paths is also examined. The results show more frequent occurrence of low-tortuosity paths for coarse packings.
Response to ad libitum milk allowance by crossbred dairy and dairy–beef calves in an automated feeding system

Abstract The objective of this study was to compare three-breed rotational crossbred calves sired by Holstein, Jersey, Montbéliarde, Normande, Viking Red, and Limousin bulls with Holstein’s calves fed a high milk allowance for growth, milk consumption, health scores, and profitability in an automated group feeding system. Breed groups were Holstein (n = 16), crossbreds of Montbéliarde, Viking Red, and Holstein (n = 24), crossbreds of Jersey, Normande, and Viking Red (n = 6), and Limousin crossbred beef × dairy (n = 45) calves. Calves were randomly assigned within the breed to one of two treatments from September 2019 to June 2020 at the University of Minnesota West Central Research and Outreach Center in Morris, MN. The five breed groups were balanced across the two treatment groups. Treatment groups were fed 8 L/d (8 L) or ad libitum (AL) milk allowance, and calves were introduced to the automated feeder at day 5 and were weaned at 56 d. Milk feeding behaviors (drinking speeds) were collected from the automatic feeding system and analyzed by feeding and breed groups. Body weights were recorded at birth and weekly through weaning. The health scores of calves were recorded twice per week. Variables included in the statistical model for analyses were fixed effects of birthweight, the season of birth, breed group, and treatment group. Calves fed AL had a greater weaning weight (P = 0.001; 106.4 kg vs. 91.4 kg) and greater (P = 0.001) average daily gain (ADG; 1.11 kg/d vs. 0.87 kg/d) than calves fed 8 L, respectively. The calves fed AL (1,064 mL/min) had a slower drinking speed (P = 0.01) than calves fed 8 L (1,467 mL/min). Most breed groups were not different for weaning weight or ADG across the 56 d. Daily milk consumption per calf was lower (P = 0.009) for Limousin crossbred calves compared with Holstein and crossbred dairy calves. As expected, AL calves had higher (P = 0.001) milk cost ($189.52) than the 8 L calves ($140.71). The average cost per kilogram of gain was similar for calves fed 8 L ($2.89/kg) compared to AL ($3.00/kg) calves. Overall, the Limousin crossbred calves had the least milk cost ($152.75) compared with Holstein ($175.67) calves and Montbéliarde, Viking Red, and Holstein crossbred calves ($177.13). The results from this study found that although feeding calves AL resulted in greater milk consumption and higher cost than 8 L calves, there may be an economic advantage with costs per kilogram of gain to feeding calves ad libitum if increased growth rates are realized.
RPBEE: Performance-based earthquake engineering on a regional scale

Over the last two decades, the performance-based earthquake engineering (PBEE) framework developed by the Pacific Earthquake Engineering Research (PEER) Center has gained the attention of researchers and practitioners worldwide. This framework was originally focused on quantifying the seismic risk of individual structures. However, with the advent of the “seismic resilience” concept, broader definitions of stakeholders and performance metrics on a regional scale are desirable. In this context, we present a formalized extension of the PEER PBEE framework for its use in groups of structures spatially distributed over a region, herein referred to as RPBEE framework. As an example, we use the RPBEE framework for computing the total number of damaged structures, the expected total economic loss, and the probability distribution of total economic losses within a region. We highlight differences with the original PEER framework and challenges arising from the implementation of the new RPBEE framework for future research and adoption, along with potential ways to overcome them.
The shift in COVID-19 vaccination policy for pregnant women, from restricted to required, and the confusion that ensued

Introduction The aim was to investigate the response of pregnant women when the COVID-19 vaccination policy shifted from restricted to required, and the confusion that ensued during pregnancy, bearing in mind that women undergo unique physiological and immunological changes during pregnancy, making them at risk of developing a more severe course of COVID-19 infection compared to their non-pregnant peers. Material and methods A cross-sectional study was carried out at the outpatient clinics at Jordan University Hospital for all pregnant women during the period of the survey from 1st October 2021 to 31st December 2021, focusing on the source of information about the vaccine, receiving the vaccine, and the reasons for rejecting the vaccine, especially during pregnancy. Results In total, 468 pregnant women were interviewed. The single primary source of information about the COVID-19 vaccine was the traditional media, audio-visual and print media being the most important as reported by 191 women (40.81%), while possible harm to the fetus was the single main reason for refusal of vaccination during pregnancy as reported by 111 women (23.72%). Conclusions Reluctance toward vaccination is primarily driven by the fierce media campaign that portrayed its initially ambiguous effects on the pregnancy and fetus in a negative light, in conjunction with the open media platforms that enabled semi-experts to issue medically inaccurate statements and information and further complicated the matter by planting the seed of fear and mistrust of the public in the health care system and providers. More public healthcare awareness regarding the safety of the COVID-19 vaccine is needed.
Statistic inference for a single-index ARCH-M model

ABSTRACT For a single-index autoregressive conditional heteroscedastic (ARCH-M) model, estimators of the parametric and non parametric components are proposed by the profile likelihood method. The research results had shown that all the estimators have consistency and the parametric estimators have asymptotic normality. We extend this line of research by deriving the asymptotic normality of the non parametric estimator. Based on the asymptotic properties, we propose Wald statistic and generalized likelihood ratio statistic to investigate the testing problems for ARCH effect and goodness of fit, respectively. A simulation study is conducted to evaluate the finite-sample performance of the proposed estimation methodology and testing procedure.
Low Frequency Quasi-periodic Oscillations in the High-eccentric LMXB Cir X-1: Extending the WK Correlation for Z Sources

Using archival Rossi X-ray Timing Explorer (RXTE) data, we studied the low-frequency quasi-periodic oscillations (LFQPOs) in the neutron star low-mass X-ray binary (LMXB) Cir X-1 and examined their contribution to frequency–frequency correlations for Z sources. We also studied the orbital phase effects on the LFQPO properties and found them to be phase independent. Comparing LFQPO frequencies in different classes of LMXBs, we found that systems that show both Z and atoll states form a common track with atoll/BH sources in the so-called WK correlation, while persistent Z systems are offset by a factor of about two. We found that neither source luminosity nor mass accretion rate is related to the shift of persistent Z systems. We discuss the possibility of a misidentification of fundamental frequency for horizontal branch oscillations from persistent Z systems and interpreted the oscillations in terms of models based on relativistic precession.
Visual Representations in Mathematics Problem-Solving: Effects of Diagrams and Illustrations.

Many types of visual representations are used in math textbooks but not all of them contain mathematically relevant information. Little research directly addresses the effects of different types of representations on mathematics performance. Theories offer differing perspectives about how visual representations such as illustrations influence student learning. Here, we investigated the effects of diagrams and contextual illustrations on trigonometry problem solving. Diagrams helped all students, but the effect of contextual illustrations depended on students’ backgrounds. Additionally, not all subgroups of students accurately assessed the effect of illustrations on their performance. We emphasize the need to consider how different types of visual representations interact with student characteristics and the problem-solving task.
Yield limit analysis of particle motion in a yield-stress fluid

A theoretical and numerical study of yield-stress fluid creeping flow about a particle is presented. Yield-stress fluids can hold rigid particles statically buoyant if the yield stress is large enough. In addressing sedimentation of rigid particles in viscoplastic fluids, we should know this critical ‘yield number’ beyond which there is no motion. As we get close to this limit, the role of viscosity becomes negligible in comparison to the plastic contribution in the leading order, since we are approaching the zero-shear-rate limit. Admissible stress fields in this limit can be found by using the characteristics of the governing equations of perfect plasticity (i.e. the sliplines). This approach yields a lower bound of the critical plastic drag force or equivalently the critical yield number. Admissible velocity fields also can be postulated to calculate the upper bound. This analysis methodology is examined for three families of particle shapes (ellipse, rectangle and diamond) over a wide range of aspect ratios. Numerical experiments of either resistance or mobility problems in a viscoplastic fluid validate the predictions of slipline theory and reveal interesting aspects of the flow in the yield limit (e.g. viscoplastic boundary layers). We also investigate in detail the cases of high and low aspect ratio of the particles.
Organizational communication strategies of Nahdlatul Ulama administrators in establishing Lazisnu of North Sumatera, Indonesia

Nahdlatul Ulama (NU) prominently proves that their principles have quite an influence in Indonesian Muslim people’s daily activities. Many linguists may have conducted few ethnographic research on communication strategies, but any research focusing on organizational communication strategies within the scope of NU administrators especially in relation to Lazisnu establishment in North Sumatera is hardly found. This particular research aims at describing the organizational communication strategies used by NU administrators in establishing Lazisnu (a non-profit organization belonged to NU to help taking care of people’s welfare) in North Sumatera. By employing field research, this study was conducted with descriptive qualitative approach combined with phenomenology design. The data were collected using observation, interview, and document analysis techniques. The data analysis procedure included data classification, data reduction, data description, and conclusion making. The findings pronounced that organizational communication strategies were used by NU administrators in establishing Lazisnu of North Sumatera in taking care of socialization, cooperation with companies, collaboration with local bank, and cooperation with mosque administrators. To this, the researcher suggests NU administrators in North Sumatera to mind and control the cooperation and collaboration with various parties to make a betterment in carrying out Lazisnu programs.
The Effect of Maggot Meal as Fish Meal Substitute on Milkfish (Chanos chanos Forsskal) Growth and Survival Rate

As one of the ten leading aquaculture commodities in Indonesia. The high demand for milkfish (Chanos chanos Forsskal) certainly requires a new alternative to fulfill feed ingredients in milkfish cultivation. Currently, the fish meal comes from imports and is quite expensive, despite being the main source of protein for farmed fish. Therefore, an alternative to the fish meal is needed to reduce production costs. One of them is maggot meal which has high availability and high protein. This study aims to examine maggot meal as fish meal substitutes effects on milkfish’s (Chanos chanos Forsskal) growth and survival. This study utilized the experimental method, using a Completely Randomized Design (CRD), and analyzed with ANOVA. The difference in treatment lies in the difference in the percentage of fish and maggot meal as the substitutes, divided into five treatments of 0%, 25%, 50%, 75%, and 100%. The parameters being observed include absolute weight gain, survival rate, and specific weight growth rate. The results illustrate highest average absolute weight growth was recorded in 0% maggot meal substitution, and the highest daily specific weight growth rate was in the treatment of substitution with 0% maggot meal. The greatest survival rate, there is a substitution of 25% maggot meal. ANOVA results illustrated no significant effect (P<0.05) on the growth of total weight, the growth rate of specific weight, and the milkfish (Chanos chanos Forsskal) survival rate from the maggot meal substitutes