Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence and predictors of return to work following a spinal cord injury using a work disability prevention approach: A systematic review and meta-analysis

Purpose Worldwide, spinal cord injuries are associated with diminished participation in the labor market. Inconclusive reporting and differences between workplace settings for individuals with spinal cord injury (SCI) make conceptualizing return to work rates among this population inherently challenging. The objectives of this study are to explore factors associated with return to work (RTW) following an SCI. Moreover, the factors were classified according to the work disability prevention framework. Finally, we conducted a meta-analysis of the prevalence of RTW following an SCI. Methods Original articles were identified through a literature search in four health databases. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for the mapping and identification of records. Included studies contained primary studies that included the nature of the injury, antecedent factors associated with the injury, and study characteristics and RTW outcomes. Exclusion criteria for the studies included if there was no discussion of RTW outcomes, systematic reviews, and meta-analyses. Results A total of 461 full-text articles were assessed for eligibility, and eight studies were included and assessed using the Critical Appraisal Skills Programme checklist, Risk of Bias, and Newcastle–Ottawa Scale. Four studies identified personal system factors, four identified healthcare system factors, two identified compensation system factors, and one identified workplace system factors. Conclusions Attempts to optimize RTW among persons with SCI are inherently difficult due to the diversity of this client population. Findings from the studies included in this systematic review support the utility of interventions for facilitating RTW, such as vocational rehabilitation and workplace accommodations, while simultaneously acknowledging the limitations in identifying specific interventions as facilitatory or inhibitory throughout the process.
Corrigendum to "The Influence of Confidence and Social Networks on an Agent-Based Model of Stock Exchange"

This paper aims to investigate the influence of investors’ confidence in their portfolio holding relative to their social group and of various social network topologies on the dynamics of an artificial stock exchange. An investor’s confidence depends on the growth rate of his or her wealth relative to his or her social group’s average wealth. If the investor’s confidence is low, the agent will change his or her asset allocation; otherwise, he or she will maintain it. We consider three types of social networks: Barabási, small-world, and random. The actual stock markets’ properties are recovered by this model: high excess kurtosis, skewness, volatility clustering, random walk prices, and stationary return rates. The networks’ topologies are found to impact both the structuration of investors in the space of strategies and their performance. Among other characteristics, we find that (i) the small-world networks show the highest degree of homophily; (ii) as investors can switch to more profitable strategies, the best approach to make profitable investments is the chartist one in Barabási and small-world topologies; and (iii) an unequal distribution and more significant relative wealth gains occur in the Barabási network.
Millimeter Wave Communication for 5G Networks

The severe increase in the number of consumers in wireless technology has caused traffic processing problems, so the mobile data growth needs a super-productive mobile network. In upcoming 5G technology, that provides faster data rates, low latency; better service quality and greater capacity have emerged. Different frequencies are used to transmit and receive data via radio waves. Between conventional and millimeter wave communications, it is considered that there are essential differences in directivity, sensitivity to blocking and high propagation loss. On some issues, millimeter wave brings various challenges in communication, such as ant blocking, interference management, space reuse etc. The main focus of this paper is to present 5G’s characteristics wave communication and discussing the use of available bandwidth in millimeter wave spectrum carefully and the benefit to next generation mobile users.
Information experience of village library staff

Village libraries, which are generally voluntarily-operated, serve their local people with information and activities according to the local need. Volunteers manage libraries to provide information relevant to the locals’ interests and lines of work. This includes crops, fisheries, small home enterprises, as well as practices in preserving traditional cultures. In light of this, village libraries play an important role in supporting their local people by enhancing their competencies through the provision of information. This study aims to explore the information experiences of library staff when managing their respective libraries. The present study involved interviews with five library staff, uncovering their perspective on how they engage with information when managing the library. The data collected were analyzed using thematic analysis, revealing three themes related to the library staffs’ information experiences: information need, information network, and information impact. The results showed that the staff relied much on books to get information and utilized social media to find and connect with colleagues in order to learn more about library management. It was also through social media that the library staff made efforts to improve their competencies in managing local libraries.
3D‐Printed Conical Arrays of TiO2 Electrodes for Enhanced Photoelectrochemical Water Splitting

Control over the topography of semiconducting materials can lead to enhanced performances in photoelectrochemical related applications. One means of implementing this is through direct patterning of metal‐based substrates, though this is inadequately developed. Conventional techniques for patterned fabrication commonly involve technologically demanding and tedious processes. 3D printing, a form of additive fabrication, enables creation of a 3D object by deposition of successive layers of material via computer control. In this work, the feasibility of fabricating metal‐based 3D printed photoelectrodes is explored. Electrodes comprised of conical arrays are fabricated and the performance for photoelectrochemical water splitting is further enhanced by the direct growth of TiO2 nanotubes on this platform. 3D metal printing provides a flexible and versatile approach for the design and fabrication of novel electrode structures.
A scientometric review of construction progress monitoring studies

PurposeThis article aims to explore valuable insights into the construction progress monitoring (CPM) research domain, which include main research topics, knowledge gaps and future research themes. For a long time, CPM has been significantly researched with increasing enthusiasm. Although a few review studies have been carried out, there is non-existence of a quantitative review study that can deliver a holistic picture of CPM.Design/methodology/approachThe science mapping-based scientometric analysis was systematically processed with 1,835 CPM-related journal articles retrieved from Scopus. The co-authorship analysis and direct citation analysis were carried out to identify the most influential researchers, countries and publishers of the knowledge domain. The co-occurrence analysis of keyword was assessed to reveal the most dominating research topics and research trend with the visual representation of the considered research domain.FindingsThis study reveals seven clusters of main research topics from the keyword co-occurrence analysis. The evolution of research confirms that CPM-related research studies were mainly focused on fundamental and traditional CPM research topics before 2007. The period between 2007 and 2020 has seen a shift of research efforts towards digitalization and automation. The result suggests Building Information Modelling (BIM) as the most common, growing and influential research topic in the CPM research domain. It has been used in combination with different data acquisition technologies (e.g. photogrammetry, videogrammetry, laser scanning, Internet of Things (IoT) sensors) and data analytics approaches (e.g. machine learning and computer vision). Practical implicationsThis study provides the horizon of potential research in the research domain of CPM to researchers, policymakers and practitioners by availing of main research themes, current knowledge gaps and future research directions.Originality/valueThis paper represents the first scientometric study depicting the state-of-the-art of the research by assessing the current knowledge domain of CPM.
Deep reinforcement learning for inventory control: A roadmap

Abstract Deep reinforcement learning (DRL) has shown great potential for sequential decision-making, including early developments in inventory control. Yet, the abundance of choices that come with designing a DRL algorithm, combined with the intense computational effort to tune and evaluate each choice, may hamper their application in practice. This paper describes the key design choices of DRL algorithms to facilitate their implementation in inventory control. We also shed light on possible future research avenues that may elevate the current state-of-the-art of DRL applications for inventory control and broaden their scope by leveraging and improving on the structural policy insights within inventory research. Our discussion and roadmap may also spur future research in other domains within operations management.
MEDIATING EFFECTS OF EMPLOYEE COMMITMENT IN RELATIONSHIP BETWEEN TOXIC LEADERSHIP AND EMPLOYEES’ PERFORMANCE

Purpose of Study: The study aimed to examine the mediating effects of employee commitment in the relationship between toxic leadership and employee performance in the context of the banking sector, KP, Pakistan. The study is expected to provide significant information to existing knowledge databases about the toxic leaders, organizational commitment, and employees’ performance. Methodology of Study: The cross-sectional design was used to conduct the study by using a 5-point Likert scale through the questionnaire to collect primary data from the high-level managers of selected commercial banks located south region of KP, Pakistan. The sample of 234 employees of both public/private sector banks was taken randomly as the sample. To compute sample, Yamane (1967) formula for selecting sample from finite population: n=population (566), level of significance, e = 0.05 & n=sample size, sample size (n) = N/1+Ne2 = 566/1+566(0.05), 2 = 234. Main Findings: The results of the study revealed that the significant and positive association among the research variables, the significant impact of the predictors on the criterion variable, and the significant partial mediating role of the employee commitment in the relationship between the toxic leadership and employees’ performance. Applications of Study: The current study focuses on examining the role of toxic leadership on employee performance with mediating effect of employee commitment within the banking sector of KP, Pakistan. This study's significance lies in the banking sector, desiring to acquire sustainable competitive advantage through increased employee performance and employee commitment. Novelty/Originality of Study: The expectation that organizational commitment can improve the relationship between toxic leadership and employee performance is missed to a certain extent in the educational context that is expected to offer a new contribution to an existing database of research.
How Do Police Officers Perceive the Challenges Posed by Covid-19: A Qualitative Case Study from Jammu Region in India

Police is an agency characterized by multi-functionality, to handle civic problems and to fight crime like robbery, murder, etc. As they are among the first ones to respond to an emergency, they have been classified as public safety personnel (PSP) such as medical officials and firefighters. The police personnel struggle hard to handle issues related to law enforcement functions, which consumes the bulk of their time. This paper discusses the main challenges faced by J & K Police officials (In incharge Police posts, Station House Officers and newly recruited Sub-Inspectors) posted in the Jammu region, during COVID-19. Such a study was needed due to the unanticipated situation created by COVID-19 and the unprecedented scale to which it affected people in general and front-line workers in particular. A qualitative approach has been used to present findings. Results show that during COVID-19, J & K police personnel have pursued their day-to-day activities quite zealously. Even if they do not have a day off and cannot celebrate festivals like other people, they are contented with whatever they have been able to do for society at large. Their families are supportive and do understand the toughness of their job, though at times, their preoccupation with a 24 × 7 job puts their personal relations at stake. They have efficient coping strategies. Despite experiencing physical and mental fatigue, they consider serving the nation as their prime duty. Health issues are common, but ignored by them. However, handling the public and keeping them indoors has been the biggest challenge faced by them. Many of them have reported the arrogance of the public, including the educated people, when asked for maintaining social distance and the reasons for coming out. This experience, coupled with extra efforts to be made by them in a crisis situation disheartens them.
Madrasah Management in Organizing Learning Process During Pandemic Covid 19

The purpose of this research is to know and describe the management of Madrasah Tsanawiyah Ahliyah 1 Palembang in carrying out the learning process during Covid 19; to know and describe the obstacles faced by Madrasahs in implementing learning management during Covid 19 and to know and describe the efforts to overcome obstacles faced in carrying out the learning process during Covid 19 at MTs Ahliyah 1 Palembang. This research is a qualitative research. The methods used to collect data are interviews, observation and documentation. Data analysis techniques in this study use data reduction, Data Display and Drawing / Verifying Conclusion. The results of the study stated that MTs Ahliyah 1 continued to carry out the teaching and learning process well despite the pandemic. The implementation of learning uses learning media with the WhatsApp application where teachers and subjects remain the same as usual. The obstacles faced by students and teachers are the lack of student activity in participating in learning, the difficulty of students in understanding the material due to the long distance from the teacher, some students do not have quotas and learning aids such as cell phones, making it difficult for students to learn online. Madrasah overcome student learning problems by working with parents to ask for supervision assistance, giving assignments directly to students and gathering to school. Implementation management at MTS Ahliyah 1 Palembang as long as Covid can be implemented well as planned by Madrasah.
A Recommender System for Mobility-as-a-Service Plans Selection

Transportation and mobility in smart cities are undergoing a grave transformation as new ways of mobility are introduced to facilitate seamless traveling, addressing travelers’ needs in a personalized manner. A novel concept that has been recently introduced is Mobility-as-a-Service (MaaS), where mobility services are bundled in MaaS Plans and offered to end-users through a single digital platform. The present paper introduces a recommender system for MaaS Plans selection that supports travelers to select bundles of mobility services that fit their everyday transportation needs. The recommender filters out unsuitable plans and then ranks the remaining ones on the basis of their similarity to the users’ characteristics, habits and preferences. The recommendation approach is based on Constraint Satisfaction Problem (CSP) formalisms combined with cosine similarity techniques. The proposed method was evaluated in experimental settings and was further embedded in real-life pilot MaaS applications. The experimental results showed that the proposed approach provides lists of MaaS PlanMaaS Plans that users would choose in a real-life MaaS setting, in most of the cases. Moreover, the results of the real-life pilots showed that the majority of the participants chose an actual MaaS Plan from the top three places of the recommendation lists.
Deleterious effects of loss of independence assessed with the KATZ index after aortic valve replacement in elderly patient

Introduction: Surgical operative risk of valvular replacement has been widely studied and it has been shown that postoperative complications incidence and mortality increase with patients’ age. The aim of this study was to assess among elderly patients whom underwent surgical aortic valve replacement using various scoring system and Geriatric Assessment Indexes to predict post-operative risk and long-term outcome. Methods and Results: We prospectively evaluated the incidence, over early and late results, of surgical scores and geriatric profile amid 122 intermediate-risk patients, aged 75 years or more who underwent surgical aortic valve replacement. In a univariate analysis, the EuroScore II (OR 1.73, 95% CI: 1.21-2.48, P =0.002), STS score (OR 1.39, 95% CI: 1.03-1.88, P = 0.03) and a Katz index ≤ 5 (limitation of at least one daily living activity) (OR 3.35, 95% CI: 1.08-10.35, P=0.03) were predictors of a 30-day unfavorable evolution. In a multivariate analysis, only surgical scores were predictive factors. At 6 months, 20 patients had deceased or had to be readmitted to hospital. At 10 years, survival was 48 % [IQR 39-57]. The Katz index ≤ 5 was the only geriatric test independent of an unfavorable outcome at 6 months (OR 4.51, 95% CI: 1.25-16.29, P = 0.02) and of a deleterious effect over long-term survival (OR 3.00, 95% CI: 1.58-5.69, P=0.001). Conclusion: In elderly patients, autonomy assessment with the Katz index allows to distinguish a vulnerable population with less beneficial outcomes after aortic valve replacement.
Impact of Digital Finance Technologies on Agricbusiness Development in Nigeria

This study investigates the impact of digital finance technologies on agribusiness in Nigeria between 2001 and 2019. The design adopted for this study was ex-post-facto, and elicited data used for analysis was from the Central Bank Statistical Bulletin. Following extensive empirical and theoretical reviews, a model was formulated. Credit to the Nigerian agric sector was used as a proxy for agribusiness (the dependent variable). In contrast, the various digital finance technology platforms such as point of sales payment system, mobile money payment system, and automated teller machine payment system are used as a proxy for digital finance technologies (independent variables). For data analysis, the Auto-Regressive Distributed Lag (ARDL) model was deployed while diagnostic tools such as the test of Normality, Serial correlation, Autocorrelation test, Ramsey reset test, and Heteroskedasticity test were applied. The tests confirmed the validity and reliability of the model employed. Inferential results suggested that both point-of-sales payment and mobile money payment systems had a positive impact on agribusinesses in Nigeria, while the automated teller machine payment system had a negative impact on agric businesses in Nigeria. The study recommended that financial inclusiveness in the rural and agricultural-dominated areas in Nigeria should be encouraged to sustain the positive impact digital finance technologies has on Nigerian agribusiness.
Implemented New Technologies within the Complexity of Medical Rehabilitations: Improvement of Mental Health and Synergetic Outcomes with Healthcare Service Effects

The need for new technologies into healthcare services has been stressed. However, little is known about the effectiveness of digital interventions integrated in psychosomatic rehabilitation processes. Data from 724 patients from psychosomatic rehabilitation clinics were analyzed for effectiveness of digital trainings examined by a change in symptoms related to depression, anxiety, stress and loneliness from pre- to post-rehabilitation. Rehabilitation satisfaction was examined in association with reaching rehabilitation goals and satisfaction with communication. Mixed repeated measures analysis of covariances, analysis of covariances, and hierarchical stepwise regression analyses were performed. Results indicated a superior effectiveness for the intervention group receiving all offered digital treatments in addition to the regular face-to-face rehabilitation program with regard to symptoms of depression, F(2,674)=3.93, p<. 05, ηp2=. 01), and anxiety, F(2,678)=3.68, p<. 05, ηp2=. 01), post-rehabilitation with large effect sizes for both depression (d=1.28) and anxiety (d=1.08). In addition, rehabilitation satisfaction was positively associated with reaching rehabilitation goals and perceived communication with healthcare workers. Digital interventions appeared effective in supporting mental health of psychosomatic rehabilitation patients post-rehabilitation. This finding supports the inclusion of multidisciplinary and interdisciplinary digital and face-to-face treatment programs and call for more implementations of new technologies in a context of complexity to improve health and healthcare service.
Effect of falling‐film freeze concentration on bioactive compounds in aqueous coffee extract

Falling-film freeze concentration (FFFC) is a technology used to concentrate liquids by freezing. This study demonstrated the effect of FFFC on bioactive compounds in coffee extract and their antioxidant activity. Coffee extract containing 5% solids was freeze-concentrated in 2 successive steps. The main bioactive compounds, chlorogenic acids and caffeine were detected by RP-HPLC. The antioxidant activity and phenolic content were assessed by ABTS, DPPH, and Folin–Ciocalteu assays. The solution was concentrated 2.09 times after 2 FFFC steps. A concentration index of 2.1 was obtained for bioactive compounds for the concentrated fraction. The antioxidant activity was preserved and a correlation between antioxidant activity and the content of bioactive compounds was confirmed. Coffee bioactive compounds were distributed in proportion to the total solids content of the ice and liquid. Overall, the results showed that FFFC is an effective technique to concentrate liquids that preserves the functional properties of the coffee extract. Practical applications The falling film freeze concentration is a new freeze concentration technique which is in development to be used in future industrial applications of food fluids concentration. This study demonstrates the preservation of bioactive compounds and bioactivity of this technique applied to the concentration of coffee extract. The research has applications in the coffee industry in the production of concentrated coffee extract and freeze-dried soluble coffee.
Inflation and Unemployment Trade-off: Is Phillips Curve True for African Developing Countries? Evidence from Sudan

The relationship between wage inflation and unemployment (Phillips Curve) is controversial in economic thought, and the controversy is centered around whether there is always a trade-off or not. If this relationship is negative it is called The short-run Fillips Curve. However, in the long run, this relationship may probable not exist. The matter of how inflation and unemployment influence economic growth, is debatably among macroeconomic policymakers. This study examines the behavior of the Phillips Curve in Sudan and its effect on economic growth.