Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of hydrophobic core on the electrophoresis of a diffuse soft particle

Electrophoresis of a diffuse soft particle with a charged hydrophobic core is considered under the weak field and low charge density assumptions. The hydrophobic surface of the core is coated with a diffuse polyelectrolyte layer (PEL) in which a gradual transition of the polymer segment distribution from the impenetrable core to the surrounding electrolyte medium is considered. A mathematical model is adopted to analyse the impact of the core hydrophobicity on the diffuse soft particle electrophoresis. The mobility based on the present model for the limiting cases such as bare colloids with hydrophobic core and soft particles with no-slip rigid cores are in good agreement with the existing results. The presence of PEL charges produces the impact of the core hydrophobicity on the soft particle mobility different from the corresponding bare colloid with hydrophobic surface in an electrolyte medium. The impact of the core hydrophobicity is subtle when the hydrodynamic screening length of the PEL is low. Reversal in mobility can be achieved by tuning the core hydrophobicity for an oppositely charged core and PEL.
The Influence of Financial Performance on Dividend Policy and Implications on Company Value. (Studies on Issuers in the Food and Beverage Sub-Sector in 2015-2019)

The purpose of this study was to examine the effect of Current Ratio (CR), Debt to Equity Ratio (DER), Return on Assets (ROA) on Dividend Payout Ratio (DPR) and their implications on Price Book Value (PBV) on mining sector food and beverage for the period 2015-2019. This research was conducted using secondary data, namely financial statements. The sample technique used is purposive sampling. Data analysis was performed using panel data regression analysis method. Of the 14 companies, only 7 were taken. For the purposes of analyzing the data in this study, the authors use statistical testing aided by SPSS Statistics 26. The results show that the Current Ratio (CR) has a positive effect on Dividend Payout Ratio (DPR), Debt to Equity Ratio (DER) has a positive effect on Dividend Payout Ratio (DPR), Return on Assets (ROA) has a positive effect on Dividend Payout Ratio (DPR), and Dividend Payout Ratio (DPR) has a positive effect on Price Book Value (PBV).
Air Pollution Assessment in China: A Novel Group Multiple Criteria Decision Making Model under Uncertain Information

Assessment of and controlling air pollution are urgent global issues where international cooperation is deemed necessary. Although a very relevant data source can be obtained through continuous monitoring of air quality, measuring air pollutant concentrations is quite difficult when compared to other environmental indicators. We mainly have three different aims for the current study: (1) we propose the computation of the interval weights of decision makers (DMs) based on a group multiple criteria decision making (GMCDM) model; (2) we aim to rank the overall preferences of DMs by the possibility concepts; (3) we aim to evaluate the air quality in China using the most recent data based on our proposed method. We consider three monitoring stations, namely Luhu Park, Wanqingsha, and Tianhu, and the data for SO2, NO2, and PM10 are collected for November 2017, 2018, and 2019. The results from our innovative model show that November 2019 had the best air quality. Finally, robustness analyses are also performed to confirm the discriminatory power of the proposed approach.
Deep residual deconvolutional networks for defocus blur detection

Accurate defocus blur detection has instigated wide research interest for the last few years. However, it is still a meaningful yet challenging machine vision task, and most methods rely on prior knowledge. Convolutional neural networks have proved the huge success for different tasks within the computer vision, and machine learning ﬂew. A simple yet effective method of defocus blur detection was proposed in this paper, which by applying the deep residual convolutional encoder-decoder network. The aims of DRDN is to automatically generate pixel-level predictions for defocus blur images, and reconstruct output detection results of the same size as the input, which by performing several deconvolution operations at multiple scales through the transposed convolution, and skip connection. Afterwards, we used the slide window detection strategy and traversed the input image with a certain stride. Experiments on challenging benchmarks of defocus blur detection show that our algorithm achieved state-of-the-art performance, and powerfully balanced the detection accuracy, and detection time.
Effects of modern technology on broiler chicken performance and economic indicators – a Hungarian case study

Abstract The aim of the study is to present the effects of modern broiler production technology on performance and economic indicators. Production and economic data of two broiler farms (new and refurbished farm) of a Hungarian enterprise, both with different standards of technology, were presented on a case study basis and the differences between them were examined. There was no difference in, for example, day-old chickens, feed, litter, animal health, and expertise only in the technical background of the farms. Mortality was 23% lower, total sold live body weight (BW) per m2 was 10% higher, adjusted feed conversion ratio (FCR) at 2.6 kg BW was 6.5% higher and European Production Efficiency Factor (EPEF) was 11% more favourable on the new farm than on the refurbished farm (p < .05). Moreover, the new farm is characterised by much more balanced production indicators than its counterpart. While the refurbished farm provided an average net income of €5.1 per 100 kg live BW, it was €9.3 on the new farm (p < .05). The unit cost was 6% lower (p < .05) on the new farm compared to the other one. Although the new farm had almost twice the depreciation per unit live BW as the refurbished farm, animal health costs were 34% lower, labour costs were 27% lower and other costs were 38% lower (p < .05). Moreover, feeding cost and that for day-old chickens were also 5–6% more favourable on the new farm (p < .05). The results show the economic benefits of the modern technical background in broiler chicken production by means of a case study. HIGHLIGHTS The effects of modern broiler chicken production technology on performance and economic indicators were evaluated based on two existing Hungarian broiler chicken farms. A significant difference can be observed between the examined broiler chicken farms in most production and economic indicators. The use of modern technology is one of the fundamental factors and conditions of productivity and profitability.
Cormorant predation effects on fish populations: A global meta‐analysis

This paper provides the results from the first meta-analysis to examine the impact of cormorant (Phalacrocoracidae) predation on fish. It is based on a systematic search of literature, covering studies using significance-based hypotheses tests on the relation between fish parameters and cormorant abundance. The results show that extensive research on
E-Defense Shake-table Test of a Building Designed for Post-disaster Functionality

ABSTRACT Shake-table tests of a 3-story reinforced concrete building with cladding casted to be monolithic with frame elements, with seismic slits or cut reinforcing bars present in some cladding elements to ensure a desirable deformation mechanism, was performed at E-Defense to evaluate its post-disaster functionality. The building satisfied response objectives; behaving elastically with 0.33% drift or less during a “severe earthquake motion” defined in the Japanese Building Standard Law, and has a base shear capacity coefficient greater than 0.55. However, the damage was greater than expected due to deformations concentrating on a few cracks, resulting in continuous functionality not necessarily being achieved.
Combination of pixel-wise and region-based deep learning for pavement inspection and segmentation

ABSTRACT This paper presents a new model combining pixel-wise and region-based deep learning to provide a pavement inspection technology for jointly obtaining the distress classes, locations, and geometric information. This proposed model, called the segmentation RCNN, added an extract branch in a faster region convolutional neural network (Faster RCNN) for assigning the pixels in each region of interest (ROI) from an image into one of the pavement distresses or background, in parallel with the existing branches for ROI classification and bounding-box regression in the Faster RCNN. The effectiveness of the proposed model was tested by a pavement-image database collected from 16 asphalt pavements. The results indicated that the proposed model detected and segmented the pavement distresses (cracks, potholes, and patches) with mean intersection over unions of 87.6% and 70.3%, respectively. The proposed model was stable under various real-world conditions. The model reduced the computation costs, which provided a novel direction to achieve real-time pavement inspection.
A new broad-leaved species of loquat from eastern Myanmar and its phylogenetic affinity in the genus Eriobotrya (Rosaceae)

Eriobotrya shanense, a new species from the karst region of Shan State, eastern Myanmar, is described and illustrated. This evergreen tree is similar to the autumn and winter-flowering, large-leaved species E. malipoensis and E. japonica by having tomentose hairs on the abaxial leaf surface, but can be distinguished by its obovate, widely obelliptic or oval blade shape, leaf length-width ratio of 2:1 (vs. 3:1), and rounded or obtuse apex (vs. acute). The species also resembles less-known, undercollected Myanmar broad-leaved species E. wardii and E. platyphylla in leaf shape and length-width ratio, but can be easily differentiated by the presence of tomentose hairs on the leaves, and inflorescence. Phylogenetic analysis based on nrDNA ITS region supported its close affinity with E. malipoensis and E. japonica. Molecular data also generally grouped the 17 congeneric taxa accessions in congruence to their leaf morphology, with the entire Eriobotrya clade strongly supported to be monophyletic and separate from Rhaphiolepis.
Student Perception of Using Google Classroom in Mathematics Learning In Covid-19 Pandemic

COVID-19 pandemic forced the education sector to make a learning system change from face to face to online to break the chain of distribution of COVID-19. This requires lecturers and students to adapt to changes in how to deliver content using online learning. The google classroom application was chosen in conducting in mathematics learning lecturers because this application allows the creation of classrooms online. The purpose of this research is to explore students' perceptions in terms of 1) ease of use of google classroom, 2) ease of understanding of material using google classroom, 3) effectiveness of google classroom in learning and 4) obstacles experienced by students during learning using google classroom. The research method used was descriptive qualitative using survey techniques with instruments in the form of questionnaires and interviews distributed using Google Form. The results showed that 59.25% of students agreed to the ease of use of google classroom, 57.13% agreed to the ease of understanding of the material, and 63.94% agreed to the effectiveness of google classroom. As for the obstacles experienced by 48.57% of unstable networks; 30.43% quota limitations; 5.30% difficult to focus and 15.77% other obstacles. But in general google classroom is effectively used in the process of teaching mathematics learning and can be used as an alternative in online learning. But it would be better if combined with other learning platforms and face-to-face learning.
Linking perceived political network homogeneity with political social media use via perceived social media news credibility

ABSTRACT In this hyperpartisan political landscape, scholars have emphasized the importance of examining how perceptions of political network homogeneity on social media affect political outcomes. However, little research has examined how perceived news credibility mediates the relationship between perceived political network homogeneity and political social media use. Social media platforms aggregate and display news items from many sources, enabling people to make generalized judgments about the overall credibility of news items. Research has suggested that perceived political network homogeneity can bias such collective news credibility judgments. In turn, such credibility perceptions can affect political social media use. Lagged and autoregressive analyses of panel survey data gathered in 2012 and 2016 consistently show that perceived news credibility mediates the positive relationship between perceived political network homogeneity and expressive but not informational political social media use. Perceived political network homogeneity positively predicted news credibility, which in turn increased expressive political social media use. Furthermore, I show that the indirect effects outlined above tend to be stronger among Democrats than Republicans.
Application of semi reverse innovative design for a boot’s shoes orthotic for children with club foot

Club foot is one of the foot deformities due to genetic factors, diseases, the condition of pregnant women is too small, or the result of a marriage that has a kinship. For every 1000 normal childbirths, there is usually one birth of a child with a leg like this. Children with this leg shape often have difficulty doing daily activities. In this paper, the prosthetic limbs used by children with clubfoot are very uncomfortable and often cause excessive pain. This paper comprehensively explains the process of designing boots for club sufferers using a semi-reverse innovative design (semi RID) method. The collaboration of 3D replica with Handyscann 700TM is used to get 3D mesh foot models with. STL format that is truly precise and accurate. Computer-Aided Design (CAD) with PowerShape 2019i software is used in this paper to get a variety of shoe lasts and insole designs that are truly precise and accurate according to the foot contours of clubfoot children. The results showed the error tolerance geometry was less than 5.0 mm for each dimension.
Determinant Factors of Supervisor Model 4S (Structure, Skill, Support, Sustainability) Against the Implementation of Islamic Spiritual Care

Introduction: The supervision model commonly applied in nursing is the 4S model, namely the Structure, Skill, Support and Sustainability (4S) stages. This supervision model can be applied by the head of the room and the head of the shift as a supervisor in overseeing the implementation of Islamic spiritual nursing care in adult inpatient rooms. Purpose: to analyze the relationship between the role of the 4S supervisor model and the implementation of Islamic spiritual nursing care in adult inpatient rooms. Methods: the study used a cross sectional method. The sampling technique with a proportionate stratified random sampling was 62 nurses. Data analysis used univariate, bivariate analysis with Spearman test, and multivariate with logistic regression. Results: showed the role of the 4S supervisor model was good (88.7%), the implementation of Islamic nursing care was good category (52%), there was a relationship between the role of model supervision 4S with the implementation of Islamic spiritual care, with a significance value of <0.0001 and the strongest relationship between the 4S model and the implementation of Islamic spiritual care is the variable skill and sustainability, seen from the significance value for skills of 0.05 (Pvalue ≤0.05), and sustainability of 0.01 (Pvalue ≤0.05). The strength of the relationship is seen based on the OR [EXP {B}] value, respectively, skill (0.194) and sustainability (0.109). Discussion: The probability of nurses implementing Islamic nursing care well is 90% if they provide Islamic spiritual nursing care skills and continuous supervision by the hospital supervisor.
Determinants of corporate social and environmental voluntary disclosure in Saudi listed firms

Purpose This paper aims to examine firm characteristics and ownership structure determinants of corporate social and environmental voluntary disclosure (CSEVD) practices in Saudi Arabia to address the paucity of research in this field for Saudi listed firms. Design/methodology/approach The paper uses manual content and regression analyses for online annual report data for Saudi non-financial listed firms over the period 2016–2018 using CSEVD items drawing on global reporting initiative-G4 guidelines. Findings Models show that Saudi firm CSEVD has increased over time compared to previous studies to an average of 68% disclosure due to new corporate governance regulations and IFRS implementation. The models show that firm size, leverage, manufacturing industry type and government ownership are positive determinants of CSEVD, while family ownership is the negative driver of CSEVD. However, firm profitability, audit firm size, firm age and institutional ownership have no impact on the level of CSEVD. Originality/value Using legitimacy and stakeholder theories, the paper determines the influence of firm characteristics and ownership structure on CSEVD, identifying implications for firm stakeholders and providing some evidence on the impact of corporate governance regulation and IFRS implementation on such disclosure. The paper provides additional evidence on progress towards Saudi’s Vision 2030.
Vermicomposting Methods from Different Wastes: An Environment Friendly, Economically Viable and Socially Acceptable Approach for Crop Nutrition: A Review

1Department of Agronomy, University of Agriculture Faisalabad, 38000, Pakistan. 2Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Tekirdag Namık Kemal University, Suleymanpasa Tekirdag, Turkey. 3Plant Physiology Section, Agronomic Research Institute, AARI, Faisalabad, Pakistan. 4Department of Botany, University of Agriculture Faisalabad, 38000, Pakistan. 5Department of Pathology, Faculty of Veterinary Science, University of Agriculture Faisalabad, 38000, Pakistan. 6Vegetable and Oil Seed Section, Agronomic Research Institute, AARI, Faisalabad, Pakistan. 7Fiber Crops Section, AARI, Faisalabad, Pakistan.
Exploring Intersectional Identity in Black Deaf Women: The Complexity of the Lived Experience in College

Although the concept of intersectionality has gained widespread attention in social science research, there remains a significant gap related to the impact of intersectionality on identity formation for persons negotiating multiple marginalized social identities. This gap is especially significant among Black women who are Deaf—two groups who face significant education disparities and are largely absent in the research literature. In response to these gaps, we conducted a qualitative study with Black Deaf women (n = 25) on a college campus to better understand the lived experiences of this population and its impact on their intersectional identity. Many of the participants expressed, despite problems related to gender, race, and disability, the number of Black Deaf women on campus made them feel that they had a support network of allies. Implications for future research and social work practice are discussed.
Voices of the Gatekeepers: Examining the Olympic Channel Production Through a Gendered Lens

ABSTRACT This study aims to explore the content production at the Olympic Channel through a lens of gender. The eleven interviews with the Olympic Channel professionals suggest that (a) sports media professionals claimed considerable agency, with individual personality and perspectives heavily influencing their journalism practice; (b) regarding content selection, the Olympic Channel seeks to strike a balance between Olympic values and commercial pursuits; and (c) the considerable proportion of female employees play an important role in facilitating a female-friendly workplace in sports newsrooms. This study illustrates the degree to which employees at an International Olympic Committee’s (IOC) official sports media platform value gender equality in their journalism practice.
Teacher ratings of academic skills and academic enablers of children on the autism spectrum

ABSTRACT Academic underachievement, as measured on standardised assessments, is commonly reported among students on the autism spectrum. However, little is known about the factors that predict academic (under)achievement, limiting the development of effective and targeted interventions. This study explored teacher ratings of academic skills and enabling behaviours of a community sample of students on the autism spectrum in Grades K-2 (5–8 years, n = 54) and 6–8 (9–12 years, n = 59) attending inclusive or special education settings. Teachers completed the Academic Competence Evaluation Scale (ACES). Results showed that children on the spectrum were rated by teachers to perform below expected levels in both academic skill areas and academic enabling behaviours. Teacher ratings of academic skills and enablers for students were higher for those in inclusive than those in special education settings. Receptive language emerged as an important predictor of teacher-reported performance alongside child motivation and interpersonal skills. Targeting academic enabling behaviours may help to improve academic achievement and lead to better educational outcomes for these students.
Extraction of prodigiosin using aqueous two phase system

Aqueous two-phase system is a modified and amazing separation process of bioproducts in downstream since it keeps their properties. This method is able to give high recovery yield and high purity in a single step. Prodigiosin pigment was produced by Serratia marcescens in carbohydrate fermentation. It is the first time to extract the prodigiosin by aqueous two-phase system, where two types of system are applied; polymer/polymer and polymer/salt. The parameters studied on the recovery per cent and partition coefficient of prodigiosin are temperature, weight fraction of polymer in solution, molecular weight of polymer, weight fraction of salt in solution, and pH. The maximum recovery and partition coefficient of prodigiosin are obtained in the first system (PEG6000/Dextran) at temperature of 20°C, pH 6, weight fraction of PEG6000 is 0.22, weight fraction of Dextran is 0.15 while in the second system (PEG1500/ammonium sulfate) the maximum recovery and partition coefficient of the prodigiosin are obtained at temperature of 20°C, pH 5, weight fraction of salt is 0.15, and weight fraction of PEG1500 is 0.24.