Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of in ovo and post-hatch administration of aqueous extract of oyster mushroom on immune response, tibiae morphometry and minerals, and bone marrow histology of broiler chickens

1Department of Animal Production and Health, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria. 2Department of Animal Production and Livestock Management, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria. 3Agricultural Technology Department, The Federal Polytechnic, Ilaro, Ogun State, Nigeria. 4Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria. 5Faculty of Agriculture, Shishu University, Minamiminowa, Kamiina, Nagano, Japan.
The Effect of Intellectual Capital Disclosures on Local Government Financial Performance and theIntergovernmental Revenue as the Moderating Variable

This study aims to examine and analyze the effect of intellectual capital disclosure on financial performance of local governments and also the effect of intellectual capital disclosure on financial performance of local governments when intergovernmental variable as moderating variable. In general, local governments in Indonesia put intergovernmental revenue as one of the main sources of regional revenue, including in areas in South Sulawesi. The data source was using secondary data. And the descriptive correlation study that explains the effect of independent variable on the dependent variable. The analysis technique uses moderated regression analysis (MRA). The unit of analysis in this study was public sector organizations in all District/City Governments in South Sulawesi Province. The results showed that (1) intellectual capital disclosure had a significant positive effect on local governments financial performance; (2) intergovernmental revenue moderates the effect of intellectual capital disclosure onlocal governments financial performance. KEYWORD: intellectual capital disclosure, financial performance, intergovernmental revenue. Received 29 November, 2018;Accepted 17 December, 2018 © The Author(S) 2018. Published With Open Access at Www.Questjournals. Org
A Case-Control Study to Assess Procalcitonin Serum Levels in Children Under the Age of Five with UTI

Aim: The aim of the present study to evaluate the Procalcitonin Serum Levels in Children Younger than Five Years Old with Urinary Tract Infection. Methods: This case-control was done the Department of Paediatrics, Government Medical College, Bettiah, West Champaran, Bihar, India for 1 year. The 100 (100 case and 100 control) children less than 5 years of age were included in this study. The children in the case group suffered from UTI based on a positive urinary culture test. They also were undergone VCUG and accordingly were divided into two groups: having VUR and not having VUR. Their serum levels of PCT were measured before starting antibiotic therapy using the chemiluminiscence immunoassay (CLIA). They had negative results for both urine culture (UTI) and urinary analysis tests that the serum levels of PCT were measured for them. In both groups children under 5 years without genetically diseases and chronic kidney diseases included in the study. Results: Of the samples, 130 children (65%) were female. The median age of the samples was 23.7 months with an interquartile range between 11.5 and 36.5 months. Accordingly, both the evaluation methods diagnosed 90 children to be healthy, while 92% of children with VUR positive simultaneously were PCT positive. The odds of one positive and two positive for one way 1.714 (P=0.015) times and 1.212(P=0.785) times were higher than the group without reflux. However the odds of 4 positive for one way 0.239 (P=0.3) times was lower than control group. The positive and negative predictive values of the serum level of PCT were 40% and 90%, respectively. In this respect, 50% of the samples diagnosed by serum level of PCT were false positive and 12% were false negative. It meant that sensitivity and specificity of PCT measurement were 90% and 50%, respectively. The kappa score for the level of serum PCT was 0.5 (P < 0.0001). The positive predictive value of serum PCT for the female and male samples was 42% and 54% respectively. Conclusion: No statistically significant relationship between vesicoureteral reflux and the serum level of PCT.
DETECTION OF FACE MASK AND SOCIAL DISTANCING BY USING MACHINE LEARNING ALGORITHM

: In this ongoing crisis, it’s a necessity for wearing a face mask and maintain social distance. This paper provides the literature assessment on Face-Mask and Social Distancing. The successive part deals with the proposed YOLO and CNN machine learning algorithms. According to the World Health Organization guidelines, every individual should accompany proper social distancing, and wear a face mask. These safety protocols will be worthy for endeavor against the present pandemic. The proposed technical study can help keep track of the social distance and detect unmasked individuals. This paper uses machine and deep learning algorithms like YOLOv3 (You Only Look Once, version 3) and CNN (convolutional neural network) algorithms. This paper uses a CNN algorithmic rule that takes an input image for recognition, pre-processes the image, classifies the image, and detects faces. The pre-processing is essential in a CNN is slightly lesser than as compared to different classification algorithms of machine learning. The YOLO algorithmic rule is popular for the Detection of an Object and Tracking of an Object. In this paper, the YOLOv3 algorithmic rule is employed to calculate the distance between every individual. The proposed technical study in this paper deals with the technology which will pass a voice instruction to those who are not following any of the safety guidelines for the current scenario.
Personality self-assessment and its impact on stress: an explorative study using Guna theory

In the current scenario, there is an age of swift change in every aspect of life which has tremendously demanded for workforce to be complex and challenging. But this necessitates the need to learn to adapt to these changes for a productive and satisfied life. When individuals fail to adapt, then they turn to become more vulnerable to psychological distress. The purpose of this study is to understand the personality-types based on Guna theory, using the Vedic-Personality Inventory (VPI). Besides this, the impact of such personality on personal stress is studied; for which, a survey was conducted among two hundred respondents from various backgrounds using Questionnaire.
A neural network model of when to 1 retrieve and encode episodic 2 memories 3

Recent human behavioral and neuroimaging results suggest that people are selective 8 in when they encode and retrieve episodic memories. To explain these ﬁndings, we trained a 9 memory-augmented neural network to use its episodic memory to support prediction of 10 upcoming states in an environment where past situations sometimes reoccur. We found that the 11 network learned to retrieve selectively as a function of several factors, including its uncertainty 12 about the upcoming state. Additionally, we found that selectively encoding episodic memories at 13 the end of an event (but not mid-event) led to better subsequent prediction performance. In all of 14 these cases, the beneﬁts of selective retrieval and encoding can be explained in terms of 15 reducing the risk of retrieving irrelevant memories. Overall, these modeling results provide a 16 resource-rational account of why episodic retrieval and encoding should be selective and lead to 17 several testable predictions. 18
Resilience and Organizational Citizenship Behavior (OCB): The Moderating Role of Leadership and Interpersonal Trust

ARTICLE INFO Research shows that resilience exerts a significant impact on organizational citizenship behavior. This linkage may be partly due to prevailing organizational circumstances. This study assessed the moderating effect of leadership and interpersonal trusts in the correlation between resilience and organizational citizenship behavior (OCB). Responses were obtained from 236 healthcare employees in Ghana's public and private hospitals. This study used regression to analyze the predictions. Findings of the study indicated that resilience, interpersonal (employee), and leadership trust positively and significantly predicted OCB. The hierarchical regression indicated that leadership trust moderated the linkage between resilience and organizational citizenship behavior. However, interpersonal trust moderates the linkage between resilience and organizational citizenship behavior. Unequivocally, resilience produces the highest organizational citizenship behavior when leaders trust their subordinates. This study, therefore, pinpoints the significant role of leadership trust in alleviating the impact of resilience on organizational citizenship behavior. Received: January 7, 2022 Accepted: February 5, 2022 Published: February 10, 2022
Constraining the ΛCDM and Galileon models with recent cosmological data

Aims. The Galileon theory belongs to the class of modified gravity models that can explain the late-time accelerated expansion of the Universe. In previous works, cosmological constraints on the Galileon model were derived, both in the uncoupled case and with a disformal coupling of the Galileon field to matter. There, we showed that these models agree with the most recent cosmological data. In this work, we used updated cosmological data sets to derive new constraints on Galileon models, including the case of a constant conformal Galileon coupling to matter. We also explored the tracker solution of the uncoupled Galileon model. Methods. After updating our data sets, especially with the latest Planck data and baryonic acoustic oscillation (BAO) measurements, we fitted the cosmological parameters of the ΛCDM and Galileon models. The same analysis framework as in our previous papers was used to derive cosmological constraints, using precise measurements of cosmological distances and of the cosmic structure growth rate. Results. We show that all tested Galileon models are as compatible with cosmological data as the ΛCDM model. This means that present cosmological data are not accurate enough to distinguish clearly between the two theories. Among the different Galileon models, we find that a conformal coupling is not favoured, contrary to the disformal coupling which is preferred at the 2. 3σ level over the uncoupled case. The tracker solution of the uncoupled Galileon model is also highly disfavoured owing to large tensions with supernovae and Planck+BAO data. However, outside of the tracker solution, the general uncoupled Galileon model, as well as the general disformally coupled Galileon model, remain the most promising Galileon scenarios to confront with future cosmological data. Finally, we also discuss constraints coming from the Lunar Laser Ranging experiment and gravitational wave speed of propagation.
Analysis of Factors Influencing Intention to Use Financial Transaction Services on Go-Pay

:- At this time various new innovations have emerged, especially in the financial sector called Financial Technology (Fintech). Go-Pay is a digital financial transaction service system from Go-Jek system. This study aims to examine and analyze the influences of self-efficacy, trust, enjoyment, and lifestyle on the intention to use financial transaction services on Go-Pay. The research design was non-experimental and type of research was an explanatory research or a hypothesis testing was employed to explains the influence of independent variables on the dependent variables. Data collected through a questionnaire involving 298 respondents using Go-Pay in Makassar City. The Collected data were analyzed using exploratory factor analysis and structural equation modeling. The result of this study indicated that self-efficacy, trust, enjoyment and lifestyle have significant influence on the intention to use financial transaction services on Go-Pay. These findings propose that behavioral factors such as self-efficacy,trust, enjoyment, and lifestyle users can provide a useful understanding and framework to Go-Pay financial service providers regarding aspects of services that must be improved in implementing digital financial transaction services, in order to be able to encourage and increase the intensity of e-payment usage.
[논문 or 기술논문 택일] Study of a Sloping-wall-type Wave Absorber placed in Various Sinusoidal Propagate Waves

;? ;Since there has been a rapid progress to understand the dynamics of an offshore floating body under an ocean environment, we undertake to generate the ocean waves in a lab-scale wind-wave flume. The study is aiming to observe and optimize the similar ocean environmental condition as input wave and to reduce the wall reflective wave. Several absorption methods are suggested to optimize the propagate wave by measuring the maximum and minimum of the standing wave envelope. There has been no optimized absorption method, as they highly depend on the wave period and the wave length. One of the methods-two fixed wave gauges measuring two wave heights and one wave phase ? is applied in this study. In the present paper various approaches were used to analyze the results using the flume, by position of probes, with absorber and without absorber, different position, condition and angle of the wave absorber, This paper also focuses on the analysis of fundamental equations which describe the separating method of the incident and reflective wave, and finally we confirm that the wave absorber is highly efficient considering all the permutation and combination. From the study it is clear that there is a change in the wave amplitude at the receiving end then the generated end; wave absorber is a strong source to control the energy of the coming wave. With the changing the period of the wave, the reflectance is increasing when the period becomes larger.
Autolysosomes and caspase-3 regulate the maturation and release of ApoExos

1 Autolysosomes and caspase-3 control the biogenesis and release of immunogenic apoptotic 1 exosomes 2 Déborah Beillevaire1,2,5, Francis Migneault1,2, Julie Turgeon1,2, Diane Gingras4, Annie 3 Karakeussian Rimbaud1,2, Geneviève Marcoux7, Crysta Spino1, Nicolas Thibodeau1, Eric 4 Bonneil6, Pierre Thibault2,6, Éric Boilard2,7, Mélanie Dieudé1,2,3, and Marie-Josée Hébert1,2,5. 5 1Centre de recherche, Centre hospitalier de l'Université de Montréal (CRCHUM) and Université 6 de Montréal, Montréal, QC, Canada 7 2Canadian Donation and Transplant Research Program (CDTRP), Canada. 8 3Département de microbiologie, infectiologie et immunologie, Faculté de Médecine, Université de 9 Montréal, Montréal, QC, Canada. 10 4Département de pathologie et biologie cellulaire, Université de Montréal, Montréal, QC, Canada. 11 5Département de médecine, Université de Montréal, Montréal, QC, Canada. 12 6Institute for Research in Immunology and Cancer (IRIC), Montréal, QC, Canada. 13 7Centre de Recherche, Centre Hospitalier Universitaire (CHU) de Québec-Université Laval, 14 Département de microbiologie et immunologie Québec, QC, Canada. 15
When Are Algorithmic Decisions Perceived as Legitimate? The Effect of Process and Outcomes on

Firms use algorithms to make important business decisions. To date, the algorithmic accountability literature has elided a fundamentally empirical question important to business ethics and management: Under what circumstances, if any, are algorithmic decision-making systems considered legitimate ? The present study begins to answer this question. Using factorial vignette survey methodology, we explore the impact of decision importance, governance, outcomes, and data inputs on perceptions of the legitimacy of algorithmic decisions made by firms. We find that many of the procedural governance mechanisms in practice today, such as notices and impact statements, do not lead to algorithmic decisions being perceived as more legitimate in general, and, consistent with legitimacy theory, that algorithmic decisions with good outcomes are perceived as more legitimate than bad outcomes. Yet, robust governance, such as offering an appeal process, can create a legitimacy dividend for decisions with bad outcomes. However, when arbitrary or morally dubious factors are used to make decisions, most legitimacy dividends are erased. In other words, companies cannot overcome the legitimacy penalty of using arbitrary or morally dubious factors, such as race or the day of the week, with a good outcome or an appeal process for individuals. These findings add new perspectives to both the literature on legitimacy and policy discussions on algorithmic decision-making in firms.
Successful Psychopathy: A Scientific Status Report

Long the stuff of clinical lore, successful psychopathy has recently become the focus of research. Although numerous authors have conjectured that psychopathic traits are sometimes associated with occupational or interpersonal success, rigorous evidence for this assertion has thus far been minimal. We provide a status report on successful-psychopathy research, address controversies surrounding successful psychopathy, examine evidence for competing models of this construct, and offer desiderata for future research.
Predicting Organizational Citizenship Behavior: A Closer Look at the Antecedent Job Autonomy and Possible Mediators of the Relationship

Organizational citizenship behavior has many benefits such as better organizational performance and is therefore sought after. In an increasingly competitive work field, it is of interest which factors could potentially influence it. Job autonomy has been found to be a potential predictor of it. In this study, we examine how this relationship works and what are the mechanisms behind it. For our hypotheses, we postulated that, first of all, there is a direct relationship between job autonomy and organizational citizenship behavior. Secondly, this relationship is mediated by job satisfaction, and thirdly that this relationship of job autonomy and organizational citizenship behavior is mediated by self-efficacy. We are therefore investigating two mediational models. In a cross-sectional study, we investigated the mediating role of job satisfaction and self-efficacy on the relationship between job autonomy and organizational citizenship behavior. We ran a simple mediational analysis (N= 155) with PROCESS by Hayes. Conflicting with the assumptions we made the results showed no direct effect of job autonomy on organizational citizenship behavior. But there was a significant mediational effect of job satisfaction for this relationship. The data could not support the mediational effect of self-efficacy. This study concludes that more autonomous jobs can influence organizational citizenship behavior through the mediational mechanism. Theoretical and practical implications of these results are discussed. Since managers can control job autonomy, this is an important tool for their practice to have more organizational citizenship behavior amongst employees.
Collecting Insights into How Novice Programmers Naturally Express Programs for Robots

—End-user programming of robots holds promise to help users lacking specialized software development skills customize robot behaviors. To enable such novice control, it is essential to design an end-user robot programming system that best supports how users naturally express what they want the robots to do. In this paper, we conducted a two-part online user study with ﬁfteen participants to analyze how novice programmers intuitively solve robot-related tasks (part 1) vs how they code robot behaviors using a static version of Cozmo Codelab, a visual block-based robot programming system (part 2). Our part 1 results show that novice programmers do not intuitively consider programming tasks using an imperative procedural programming paradigm, which is typical of current visual block-based robot programming systems. Additionally, we ﬁnd that users who initially adopted an imperative procedural programming paradigm (in part 1) for task completion in part 2 wrote less accurate robot programs. The mismatch between natural tendencies and enforced coding structure has implications for the design of easily learned end-user robot programming interfaces and systems. It suggests that block-based visual imperative programming systems, though at present one of the most accessible ways to program robots, could beneﬁt from new interfaces and targeted design enhancements.
Dynamics of Gender Relations and Climate Change Adaptation Strategies among Pastoralists in Tanzania

This paper is based on a study conducted in Kilosa District, Tanzania. It assessed how pastoralists adapt to climate change with respect to the existing inequalities in gender relations. It adopted a cross-sectional research design where both primary and secondary data deployed using questionnaire and interview and desk review of various documents respectively on gender relations and climate change adaptation strategies. The data were analysed by using Statistical Package for Social Sciences computer software and the analysis was largely descriptive. The study results show that inequality in gender relations exists among the pastoralists in terms of household division of labour, ownership of resources and decisionmaking. Also, strategies such as crop farming, selling of animals, migration, shifting to new areas and fencing reserve pasture were used to adapt to climate change. The paper concludes that despite the strategies used to adapt to climate change impacts, the existing gender inequalities among the study population renders women vulnerable to climate change impacts. It is suggested that the government should institute gender sensitive policies and strategies on household division of labour, ownership of resources and decision-making to trim down women’s vulnerability to climate change impact. Paper History
A MATHEMATICAL MODEL OF CRITICAL JET HEIGHTS CAUSING DROPLETS SPLASHING IN BOF STEELMAKING

D. Xu, B. Zheng Email: 695260997@qq.com Technology Innovation Center for High Quality Cold Heading Steel of Hebei Province, Hebei University of Engineering, Handan, China L. X. Guo, H. X. Pang Email: wangxi950715@sina.com Technology Innovation Center for Wear Resistant Steel Plate of High plasticity and High Toughness of Hebei Province, Hebei Puyang Iron and Steel Corp. Ltd, Handan, China It is important to understand the physical interaction between top-blown oxygen jet and liquid bath in basic oxygen steelmaking furnaces (BOF). In this study, cold model experiments were carried out to investigate the cavity depth, diameter and the instability at the gas-liquid interface. Images of the cavities were captured by a high-speed video camera to study cavity performances. A modified judging equation of the gas-liquid interface instability was developed by the critical jet flow and the critical jet height at a determined jet diameter. The critical parameters were in good agreement with experimental measurements.