Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Organizational Justice on Organizational Citizenship Behavior: empirical evidence from Higher Educational Institutions

Organizational justice appears to be a key component that leads to attaining organizational goals and, as a result, increases organizational performance. Employees who feel fairness in today’s highly competitive workplace are more inclined to contribute more to their organization. Employees who feel their organization performs fairly are more likely to display citizenship behavior. The current study sought to ascertain the level of faculty members’ justice perception and extra-role behavior in higher education institutions. To investigate the impact of organizational justice on organizational citizenship behavior among faculty members of higher educational institutions, various research questions are developed: first, how much influence does faculty members’ Organizational Justice (OJ) have on their Organizational Citizenship Behavior (OCB) towards the institution? Second are there any important connections between the OJ and OCB constructs? Statistical Package for the Social Sciences (SPSS) was used in the study. Cronbach’s alpha, descriptive analysis and multiple regression analysis were applied in the study. According to the findings, OJ has a significant influence on the dimensions of OCB. It represents that the employees should exhibit selflessness and always thinks for the welfare of others, act in positive ways, never complain, and participate in the organization's political process.
People With Disability and Access To Financial Services: Evidence From Odisha

The purpose of this study is to examine the effects of disability on access to financial services in Odisha. Data for the study were obtained from the Odisha Economic Survey 2021-22. We used an instrumental variable (IV) regression approach to examine the effect of disability on the use of formal financial institutions and mobile money. We find that the likelihood of having access to finances and using any of the financial institutions, or having at least a product/service with a bank reduces for people with disability. Further, our results show that while people with disability are less likely to use commercial banks (6.3%), rural banks (4.8%) and at least one financial service (6.3%), they are 53.7% more likely to use mobile money. Collaborative actions are needed to raise awareness on mobile money and other Fintech solutions, as well as accessibility functions that can support the inclusion of persons with disabilities into the financial system.
Competências digitais docentes: uma revisão sistemática da literatura

As Tecnologias Digitais de Informação e Comunicação (TDIC) demandam novos processos formativos e a redefinição do papel dos professores para o desenvolvimento de suas competências digitais. Nesse quesito, este trabalho se direciona a investigar os conceitos das competências digitais docentes, bem como a existência de políticas públicas para a formação dos professores com o uso das TDIC, a partir de outras literaturas já existentes. Para tanto, a referida pesquisa tem por método uma Revisão Sistemática da Literatura (RSL), proposto por Kitchenham e Charters (2007). Nessa perspectiva, foram analisadas publicações no período entre 2015 a 2021, nos seguintes repositórios: portal de periódicos da CAPES, catálogos de teses e dissertações da CAPES, Google acadêmico e Scientific Electronic Library Online – Scielo, com a respectiva string de busca: “competências digitais” AND “formação de professores” AND “docentes”. Os resultados apontam que os conceitos de competências digitais docentes não se desenvolvem isoladamente e que há uma forte influência dos documentos internacionais nessa base conceitual, principalmente do DigCompEdu. Destarte, verificou-se também que as políticas públicas nacionais ainda necessitam transitar pela real necessidade de desenvolvimento de competências digitais de professores e da reflexão sobre novos paradigmas didático-pedagógicos com o uso das TDIC. Palavras-chave: Formação de professores. Políticas públicas. Competências digitais.
Anthelmintic activity of Carica pubescens aqueous seed extract and its effects on rumen fermentation and methane reduction in Indonesian thin-tailed sheep: An in vitro study

Background and Aim: Seeds from Carica pubescens were observed to be abundant as waste. This waste contains active plant compounds whose utilization has not been studied in the livestock sector. This study was conducted to evaluate the potential of an aqueous seed extract of Carica pubescens (ASE) as an anthelmintic agent during rumen fermentation and methane reduction. Materials and Methods: Aqueous seed extract of Carica pubescens was prepared from C. pubescens cultivated in Wonosobo, Indonesia. Phytochemical analyses were performed to quantify the secondary metabolite content of ASE. In vitro adult worm mortality tests, scanning electron microscopy, and gas production tests were conducted to evaluate rumen characteristics, methane reduction, and the potential of ASE as an anthelmintic against Haemonchus contortus. Adult worms and ruminal fluid were collected from Indonesian thin-tailed sheep. Two-way analysis of variance followed by Tukey’s test was performed using the Statistical Package for the Social Sciences® 21.0 software to detect significant differences. Results: In vitro study results showed that 1–5% ASE inhibited H. contortus after the 1st h of incubation, and 5% ASE suppressed 100% of adult H. contortus worms in the 5th h. Scanning electron microscopy analysis of ASE-treated worms ASE revealed damaged cuticle structures. ASE had no significant effect on pH, NH3, volatile fatty acid, acetate, propionate, butyrate, acetate: propionate, or microbial protein in rumen fluid (p > 0.05). The in vitro feed fermentation results showed that ASE significantly affected methane reduction. Conclusion: The inclusion of up to 5% ASE in sheep diets may serve as a potential alternative anthelmintic against H. contortus as well as a methane reduction agent, without deleterious effects on rumen fermentation.
Exact solitary-wave Special Solutions for the Nonlinear Dispersive K(m,n) Equations by Means of the Homotopy Analysis Method

In this paper, we study the nonlinear dispersive K(m,n) equations which exhibit solutions with solitary patterns. New exact solitary solutions are found. The two special cases, K(2, 2) and K(3, 3), are chosen to illustrate the concrete features of the homotopy analysis method in K(m,n) equations. The nonlinear equations K(m,n) are studied for two different cases, namely when m = n being odd and even integers. General formulas for the solutions of K(m,n) equations are established.
FACTORS INFLUENCING MALE INVOLVEMENT IN ANTENATAL CARE AMONG CLIENTS ATTENDING ANTENATAL CLINIC: A CASE OF KENYATTA NATIONAL HOSPITAL, KENYA.

Background: Male participation is a crucial component in the optimization of antenatal care services. Level of male participation has been found to be low. This study aimed to identify determinants of male partners’ involvement in antenatal care services. Methods: A descriptive cross-sectional study was used. The study population included expectant women and available male partners at the antenatal clinic at Kenyatta National Hospital. A sample of 79 respondents was recruited into the study. Consecutive sampling was used to select the study participants. Data was collected using a semi-structured questionnaire, analyzed using SPSS computer package version 20 and thereafter presented using descriptive methods. Findings: Majority of participants (90%) were aged above 25 years, were more educated and had non-formal sources of employment. They knew at least 50% of the services offered and had a positive attitude towards ANC. Majority of participants (54%) stated that ANC is traditionally for women. Majority (77%) stated that the members of staff at ANC clinic are friendly and approachable. Conclusions: Cultural beliefs and practices still hinder men’s participation as communities continue to uphold patriarchal tendencies that disregard women. Men’s attitude also determined their participation.
Towards an Early Clinical and Biological Resistance Detection in Dermatophytosis: About 2 Cases of Trichophyton indotineae

Trichophyton indotineae causes resistant dermatophytosis to terbinafine. The global spread of terbinafine-resistant Trichophyton indotineae strains with mutations in the squalene epoxidase gene is a major issue. This emerging species is now more frequently isolated in Europe and we report here two cases of T. indotineae tinea corporis in Switzerland, one with in vitro resistance to terbinafine and a second with in vitro susceptibility but a clinical resistance. Mycology isolation from cultures and sequencing ITS gene were used to confirm T. indotineae infection. In vitro antifungal susceptibility was tested in a microplate with a colorimetric detection of fungal viability for the determination of the minimal inhibitory concentration (MIC). Facing these emerging resistances and since there are a limited number of antifungal agents available to treat dermatophytosis, the early detection of terbinafine resistance should be a prerequisite in the management of T. indotineae infections.
TransMalDE: An Effective Transformer Based Hierarchical Framework for IoT Malware Detection

With the rapid development of the Internet of Things (IoT) and cloud applications, cloud service providers have rented out access to servers to IoT devices for computing and storage purposes, providing users with a variety of services and functionality. The prevalence of malware attacks against IoT devices has led to serious and critical concerns with respect to cyber security. In response to this growing threat, many IoT security providers are adopting cloud-based, centralized malware detection systems. However, this may cause back-and-forth communication, which violates the real-time requirement of malware detection. The ever-growing edge computing has resulted in the development of new and more efficient data processing. By exploiting the proximity benefits and the computation capacity of edge computing, we propose a hierarchical IoT malware detection framework (namely TransMalDE) to migrate user computation-intensive malware detection tasks to neighboring edge computing nodes, which improves the efficiency of malware detection. Moreover, considering the rigidity of the current network infrastructure and the complexity of AI-enabled malware detection tasks, we construct a Transformer-based detection model to capture the latent behavioral patterns of evolving malware attacks. Experimental results show that our TransMalDE consistently outperforms the existing state-of-the-art systems in malware detection on four benchmark datasets.
Improved Approach to Iris Normalization for iris Recognition System

As a part of a growing information society, security and the authentication of individuals become nowadays more than ever an asset of great significance in almost every field. Iris recognition system provides identification and verification automatically of an individual based on characteristics and unique features in iris structure. Accurate iris recognition system based on iris segmentation method and how localized the inner and outer iris boundaries that can be damaged by irrelevant parts such as eyelashes and eyelid, to achieve this aim, the proposed method applied canny edge detection then circle hough transformation on an eye image passed through preprocessing operations. The proposed iris normalization is done by using the important information that resulted from circle hough transformation such as center and radius of iris and center and radius of pupil to convert iris region in original image from the Cartesian coordinates (x,y) to the normalized polar coordinates (r, θ ). The proposed approach tested conducted on the iris data set (CASIA v4.0-interval), and tested on (CASIA v 1 .0-interval) iris image database and the results indicated that proposed approach has 99.8% accuracy rate with (CASIA v4.0-interval),and has 100% accuracy rate with (CASIA v1.0-interval) .
Soil hydraulic properties and field-scale hydrology as affected by land-management options

Recurring puddling for long-term rice cultivation forms a plow pan at a particular soil depth, which alters soil hydraulic properties, field-scale hydrology, and nutrient persistence in the soil. This experiment aimed to assess the impact of long-term rice cultivation on root-zone soil hydraulic properties and field-scale hydrology. Soil core samples were collected from four land management options namely, rice‒rice, non-rice, rice and non-rice, and field ridge, at two sites, one with loam and another with silt-loam soil. The soil cores were sampled for each 10 cm layer up to 100 cm depth from three locations of each rotation at both sites. Soil hydraulic parameters were estimated using a pedotransfer function based on the measured bulk density and soil texture. A mathematical model named HYDRUS-1D predicted infiltration, percolation, and surface runoff with the estimated hydraulic properties for three extreme rainfall events, i.e., 3.33, 5, and 6.66 cm hr-1, during a 3-hour period. A plow pan was found at 20–30 cm soil depth for all the land management options but not for the field ridge. The plow pan of the rice‒rice rotation had the highest bulk density (1.53 g cm-3) and the lowest hydraulic conductivity (17.56 cm day-1). However, the top 10 cm soil layer in the rice–rice field had the lowest bulk density (0.93 g cm-3). At both sites, the field ridge had higher infiltration and percolation and lower runoff than other rotations. The study reveals that the field-ridge area of a rice field can be the main water loss pathway. Phosphorus concentration in the rice-rice rotation decreased from 7.7 mg kg-1 in the 10-cm soil layer to 2.49 mg kg-1 in the 100-cm layer. These findings will facilitate making better water management decisions.
Numerical simulation of water exit of an initially fully submerged buoyant spheroid in an axisymmetric flow

The free water exit of an initially fully submerged buoyant spheroid in an axisymmetric flow, which is driven by the difference between the vertical fluid force and gravity, is investigated. The fluid is assumed to be incompressible and inviscid, and the flow to be irrotational. The velocity potential theory is adopted together with fully nonlinear boundary conditions on the free surface. The surface tension is neglected and the pressure is taken as constant on the free surface. The acceleration of the body at each time step is obtained as part of the solution. Its nonlinear mutual dependence on the fluid force is decoupled through the auxiliary function method. The free-surface breakup by body penetration and water detachment from the body are treated through numerical conditions. The slender body theory based on the zero potential assumption on the undisturbed flat free surface is adopted, through which a condition for full water exit of a spheroid is obtained. Comparison is made between the results from the slender body theory and from the fully nonlinear theory through the boundary-element method, and good agreement is found when the spheroid is slender. Extensive case studies are undertaken to investigate the effects of body density, dimensions and the initial submergence.
Rotation-Based Multi-Particle Collision Algorithm with Hooke Jeeves

A new variant of the hybrid metaheuristic MPCA-HJ (Multi-Particle Collision Algorithm with Hooke-Jeeves method) is presented. Multi-Particle Collision Algorithm is a metaheuristic algorithm that performing a traveling on the search space. The addition of the Rotation-Based Learning mechanism to the exploration search enhances the possibility to cover a larger area in the search space. The Hooke-Jeeves direct search method exploites the best solution found by the MPCA, allowing to achieve better solutions. The performance of all implementation are evaluated over twenty-two well known benchmark functions.
A New Object Oriented Software Development Genetic Algorithm To Fuzzy Assignment Problem

Assignment Problem, whose objective is to find the optimum assignment of a number of tasks to an equal number of resources at a minimum cost or maximum profit. In this paper, the objective functions are fuzzy variables. The fuzzy assignment problem are transformed into crisp assignment problem by using Yager’s Ranking method . Assignment problem is often used for solving engineering and management problems, where costs are assumed as fuzzy numbers. Defuzzification methods selections are important to discover appropriate methods for obtaining crisp values representing uncertain data. Genetic algorithm (GA), one of the simplest evolutionary algorithms, is also an optimization algorithm. Software development is based on customer requirements with a subset of modules, where relevance of created modules is a critical activity. Though GA have been successfully applied in development of software but GA for Object oriented software development is limited. This paper proposes a novel technique (OSGA) using a genetic algorithm approach while explaining a possible fuzzy approach.
AN EXTENSION OF THE PROBABILITY LOGIC LPP2

In this paper we present a probability logic which allows Boolean combinations of formulas of the form of a1w('1) +¢¢¢+akw('k) ‚ c, where '1;:::;'k are propositional formulas, a1;:::;ak;c are rational numbers. The logic with such syntax was introduced in (1). We present axiomatic system along with the ideas from (2, 3) and prove extended completeness, instead of simple completeness shown in (1).
Shape Optimization by Particle Swarm Algorithm Utilizing Isogeometric Analysis

: The present paper describes the application of the particle swarm optimization (PSO) to the shape optimization of two-dimensional domains described by NURBS (non-uniform rational B-splines) and analyzed by the NURBS-based Isogeometric analysis (IGA). The regularization of the optimization problem, preventing undesirable clustering of control points of the underlying geometry leading to invalid geometry or parametrization, is achieved by controlling the magnitude of perturbation of design variables within the Particle Swarm Optimization (PSO) method using a background mesh produced by Matlab Distmesh tool. The capabilities and performance of the developed optimization strategy are demonstrated on a standard benchmark problem.
Effects of Hot Pixels on Pixel Performance on Backside Illuminated Complementary Metal Oxide Semiconductor (CMOS) Image Sensors

Effects of hot pixels on pixel performance in light and dark environments have been investigated in pinned photodiode 0.18 μm backside illuminated CMOS image sensors irradiated by 10 MeV protons. After exposure to protons, hot pixels and normal pixels are selected from the whole pixel array, and their influences on key parameters are analyzed. Experimental results show that radiation-induced hot pixels have a significant impact on pixel performance in dark environments, such as dark signal nonuniformity, long integration time, and random telegraph signal. Hot pixels are caused by defects with complex structures, i.e., cluster defects. Furthermore, the dark current activation energy result confirms that the defects causing the hot pixels have defect energy levels close to mid-gap.
Drivers of Rural Entrepreneurship in Northern Ghana: A Community Capitals Framework Approach

This article critically examines the entrepreneurial potentials of rural northern Ghana within the Community Capitals Framework context to establish which capitals are drivers and barriers to rural entrepreneurship development in the study area. The study adopts a qualitative research approach (n = 58) to examine the community capitals within three case study districts and communities. Focus groups and semi-structured interviews were conducted, gathering two different data at the district and community levels, using the Trans-TMM model to obtain reliable data through translation at the community level. The findings reveal that the cultural, social and political capitals and aspects of the research communities’ human capital offer significant entrepreneurial potential. However, in contrast, the scarcity of financial capital and low quality of the human capital in the communities poses a considerable challenge to significant entrepreneurial development and sustainability and therefore required attention. The article provides insight into entrepreneurship resources in rural northern Ghana for the government and organisations perceiving entrepreneurship as a development model towards poverty reduction, recognises the barriers, and addresses such deficiencies to guarantee the chances of success of such a programme.
L'optimalité de l'OFDM en termes de performance en PAPR

Les systemes multi-porteuses, et en particulier leur structure de modulation, connaissent un interet croissant. Suivant la forme d'onde consideree, plusieurs mesures de performance peuvent changer comme le PAPR (Peak-to-Average Power Ratio), l'efficacite spectrale, le taux d'erreur ou la complexite d'implementation. Dans ce papier, nous montrons que, sous certaines contraintes sur les formes d'ondes, l'OFDM (Orthogonal Frequency Division Multiplexing) est une structure de modulation optimale en termes de PAPR.
Effect of Gap between Airfoil and Embedded Rotating Cylinder on the Airfoil Aerodynamic Performance

From the time of Prandtl,1904, the boundary layer concept was introduced and scientists and engineers had been faced a challenge to reduce the adverse effects of boundary layer separation on the performance of various devices such as airfoils, compressor blades, turbine blades, etc. Boundary layer separation takes place under adverse pressure gradient conditions when viscous effects are no longer confined to a thin layer but affect the overall flow pattern drastically. The most common application up to date has been the flow around an airfoil wing of an aircraft. Flow separation takes place on the upper surface of the airfoil at a large angle of attack resulting in a drastic fall in lift. The concept of delaying boundary layer separation has also been used in wing to reduce aerodynamic drag. Invariably this had been done by momentum injection through using rotating cylinder as a concept of moving surface boundary layer with different gap spaces between the airfoil and rotating cylinder and taps on upper and lower surfaces of the airfoils in order to control the flow and improve their lift characteristics.
Superconducting energy recovery linacs

High-average-power and high-brightness electron beams from a combination of laser photocathode electron guns and a superconducting energy recovery linac (ERL) is an emerging accelerator science with applications in ERL light sources, high repetition rate free electron lasers , electron cooling, electron ion colliders and more. This paper reviews the accelerator physics issues of superconducting ERLs, discusses major subsystems and provides a few examples of superconducting ERLs.