Miracle-dz/UniFAR-FTUs huggingface dataset:
Drying of Sisal Fiber: A Numerical Analysis by Finite-Volumes

Vegetable fibers have inspired studies in academia and industry, because of their good characteristics appropriated for many technological applications. Sisal fibers (Agave sisalana variety), when extracted from the leaf, are wet and must be dried to reduce moisture content, minimizing deterioration and degradation for long time. The control of the drying process plays an important role to guarantee maximum quality of the fibers related to mechanical strength and color. In this sense, this research aims to evaluate the drying of sisal fibers in an oven with mechanical air circulation. For this purpose, a transient and 3D mathematical model has been developed to predict moisture removal and heating of a fiber porous bed, and drying experiments were carried out at different drying conditions. The advanced model considers bed porosity, fiber and bed moisture, simultaneous heat and mass transfer, and heat transport due to conduction, convection and evaporation. Simulated drying and heating curves and the hygroscopic equilibrium moisture content of the sisal fibers are presented and compared with the experimental data, and good concordance was obtained. Results of moisture content and temperature distribution within the fiber porous bed are presented and discussed in details. It was observed that the moisture removal and temperature kinetics of the sisal fibers were affected by the temperature and relative humidity of the drying air, being more accentuated at higher temperature and lower relative humidity, and the drying process occurred in a falling rate period.
Cardiovascular computed tomography and HIV: The evolving role of imaging biomarkers in enhanced risk prediction

The treatment of human immunodeficiency virus (HIV) with antiretroviral (ARV) medications has revolutionised the care for these patients. The dramatic increase in life expectancy has brought new challenges in treating diseases of aging in this cohort. Cardiovascular disease (CVD) is now a leading cause of morbidity and mortality with risk matched HIV-positive patients having double the risk of MI compared to HIV-negative patients. This enhanced risk is secondary to the interplay the virus (and accessory proteins), ARV medications and traditional risk factors. The culmination of these factors can lead to a hybrid metabolic syndrome characterised by heightened ectopic fat. Cardiovascular computed tomography (CT) is ideal for quantifying epicardial adipose tissue volumes, hepatosteatosis and cardiovascular disease burden. The CVD risk attributed to disease burden and plaque morphology is well established in general populations but is less clear in HIV populations. The purpose of this review article is to appraise the latest data on CVD development in HIV-positive patients and how the use of cardiovascular CT may be used to enhance risk prediction in this population. This may have important implications on individualised treatment decisions and risk reduction strategies which will improve the care of these patients.
PREDICTING FACTORS OF JOINT PAIN

Joint pain could have impact on the wellbeing of elders with knee osteoarthritis (OA). Several factors could influence joint pain. Therefore, it is beneficial to explore contributing factors regarding with joint pain among Indonesian elders with knee osteoarthritis. The aim of this study was to explore predicting factors affecting joint pain of people with knee osteoarthritis. A descriptive cross-sectional design was used and involved 100 participants. All participants were asked to answer the demographic questionnaire, Lifestyle Modification Behaviors Questionnaire (LMBQ), and Intermittent and Constant Osteoarthritis Pain (ICOAP). These instruments were validated by three experts. The internal consistency reliability of the LMBQ and ICOAP yielded a Cronbach Alpha coefficient of . 84 and . 95, respectively. The results indicated significant correlation between joint pain and age, body mass index, education, duration being diagnosed with OA, level of severity, and lifestyles modification behaviors. However, there was no significant difference between occupation, genders and joint pain. A multiple regression was conducted. Age, BMI, diseases duration, level severity of knee OA, and lifestyles behaviors were examined as predictors. These variables statistically significant predict join pain F (5.94) = 5.467, p< 0.001), R=0.225. Age, gender, BMI, diseases duration, severity of knee OA, and lifestyle behaviors were related to joint pain. Therefore, nursing and other health professional should concern and consider these factors in allocating care to reduce joint pain in this group.
Gold nanofluids synthesised using antioxidant catechin, its characterisation and studies on nucleation

Nanofluids are a new class of fluids where nanosized solid particles are dispersed in a liquid medium. This study aims to experimentally investigate the production of gold nanofluids using catechin (CAT), a polyphenolic compound. The characterisation of the green-synthesised nanoparticles using UV–visible spectrophotometer, differential scanning calorimeter, dielectric spectroscopy, and transmission electron microscopy, attempts to generate information to understand the properties of green-synthesised gold nanofluids. Four nanofluids were prepared by varying their concentrations between CAT and tannic acid to form gold nanoparticles (AuNP) in water. The gold nanofluids exhibited interesting thermal, surface plasmon resonance, and dielectric properties. The formation of the AuNP was studied using two different methods using transmission electron microscope and they exhibited interesting growth patterns within 1 minute. These results are significant as they shed light on the importance of the onset of the AuNP formation.
The case for alternative endpoints in computing education

This paper argues for a re-examination of the nature and goals of broad computing education initiatives. Instead of starting with specific values or goals, we instead begin by considering various desired end-points of computing instruction and then work back-ward to reason about what form learning activities might take and what are the underlying values and principles that support learners in reaching these endpoints. The result of this exercise is a push for re-thinking the form of contemporary computing education with an eye toward more diverse, equitable and meaningful endpoints. With a focus on the role that constructionist-focused pedagogies and designs can play in supporting these endpoints, we examine four distinct cases and the endpoints they support. This paper is not intended to encompass all the possible alternate endpoints for computer science education; rather, this work seeks to start a conversation around the nature of and need for alternate endpoints, as a means to re-evaluate the current tools and curricula to prepare learners for a future of active and empowered computing-literate citizens.
An Embedding-Based Topic Model for Document Classification

Topic modeling is an unsupervised learning task that discovers the hidden topics in a collection of documents. In turn, the discovered topics can be used for summarizing, organizing, and understanding the documents in the collection. Most of the existing techniques for topic modeling are derivatives of the Latent Dirichlet Allocation which uses a bag-of-word assumption for the documents. However, bag-of-words models completely dismiss the relationships between the words. For this reason, this article presents a two-stage algorithm for topic modelling that leverages word embeddings and word co-occurrence. In the first stage, we determine the topic-word distributions by soft-clustering a random set of embedded n-grams from the documents. In the second stage, we determine the document-topic distributions by sampling the topics of each document from the topic-word distributions. This approach leverages the distributional properties of word embeddings instead of using the bag-of-words assumption. Experimental results on various data sets from an Australian compensation organization show the remarkable comparative effectiveness of the proposed algorithm in a task of document classification.
Decentralized secure storage of medical records using Blockchain and IPFS: A comparative analysis with future directions

Most of the hospitals store their patient's data locally and some even do not have any backup storage. This poses a real threat of data loss or data corruption. Although many hospitals are migrating to cloud storage, the clouds have their own threat vectors. Recently, various health care providers were hit by ransomware and Distributed Denial of Service attacks during the COVID‐19 outbreak. Due to these attacks, many emergency services were halted, affecting hundreds of thousands without any healthcare. Another problem with these traditional database practices is that they often misplace or mix the patient's data, which, needless to say, have severe complications. Many researchers are working on IPFS and Blockchain technology to improve the storage of medical records. This article presents a detailed study of the IPFS and Blockchain based healthcare secure storage solutions. It analyzes the existing solutions and their architecture, which will further facilitate the future research and development of emerging IPFS and Blockchain technologies.
A Model for Academics' Perceptions of Organizational Structure, Individual Performance and Turnover Intention

The study aims to develop a model for the relationship between the current organizational structure, along with some variables, in universities, which are an educational organization, and the perceptions of academics' individual performance and turnover intention. While the population of research is composed of all universities carrying out educational activities in Turkey, the sample of research consists of a total of 37 universities selected by quota sampling method by taking into account certain criteria. Analyses were performed on the data obtained from a total of 1242 academics working at these universities. Following the analyses, it was determined that there was a positive interaction between the enabling organizational structure and the academics' perceptions of individual performance and other positive variables, and that a positive interaction existed between the coercive organizational structure and the academics' perceptions of the turnover intention and other negative variables. Moreover, it was found that the positive relationship of the coercive organizational structure with the turnover intention and other negative variables was stronger than the negative relationship of the enabling organizational structure. Based on these results, it was concluded that it is necessary, but not 1Article Arrival/Acceptance Date: 30.12. 2020 / 11.02. 2021 *This study was produced from the doctoral dissertation of Muhammad ZİNCİRLİ, which was completed under the supervision of Prof. Dr. Muhammad TURHAN Reference Information: Zincirli, M. and Turhan, M. (2021). A model for academics’ perceptions of organizational structure individual performance and turnover intention. Kahramanmaraş Sütçü İmam University Journal of Social Sciences, 18(1), 262-296. DOI: 10.33437/ksusbd.849927 KSÜSBD Vol:18 Issue: 1 / April 2021 263 sufficient, to have an enabling organizational structure in order to increase the positive feelings, attitudes and behaviours of academics.
Cladistic analysis of Zethus Fabricius, 1804 (Hymenoptera, Vespidae): a new subgeneric classification

Zethus is the largest genus in Vespidae with over 270 species. It is currently divided into four subgenera: Z. (Zethus), Z. (Zethoides), Z. (Zethusculus) and Z. (Madecazethus). While the last three are restricted to certain biogeographic areas, the first is spread through western and eastern hemispheres. Studies have shown possible phylogenetic incongruence regarding this current division and even raised the possibility of paraphyly in the genus. To evaluate this classification, morphological pasimony analyses under implied weights was carried out, examining external morphology and male genitalia. Analyses showed paraphyly of the genus under various “k” values and paraphyly of two subgenera. Ischnocoelia and Ctenochilus are lowered to subgenera of Zethus. Zethus (Madecazethus) is no longer restricted to Malagasy species and now includes those of the African continent as well. Zethus (Zethastrum) subg. nov. is defined for Oriental representatives. Z. (Zethus) is subdivided into three subgenera: Z. (Zethus), Z. (Didymogastra) and Z. (Wettsteinia). Zethus (Zethusculus) and Z. (Zethoides) are monophyletic and hold their status as subgenera. Three species-groups are Incertae sedis: Z. albopictus, Z. pallidus and Z. spinosus.
Factors affecting adoption of building information modeling in construction projects: A case of Vietnam

Abstract BIM exhibits strong potential to become a core technological advancement adopted in construction projects. However, the process of BIM implementation is being affected by various factors depending on specific circumstances. This study aims to identify global factors influencing BIM adoption in construction projects. By a comprehensive review of the previous literature, this study managed 39 critical factors impacting construction labor productivity, which were categorized as primary 5 groups, namely, human, management, technology, project, and external. A total of 159 valid samples were collected by respondents who completed a questionnaire survey according to their previous direct or indirect participation in the implementation of construction projects. These factors were ranked based on their Relative Important Index (RII) and descriptive statistics. The findings indicated that the most significant factors affecting BIM adoption in construction project implementation consist of (1) “perceived usefulness,” (2) “speed of BIM tools,” (3) “perceived benefits of BIM for organization,” (4) “technology quality,” and (5) “experience and skills”.
Spondylodiscitis, an Exceptional Complication of Prostate Biopsy: Case Report

Background: Transrectal prostate biopsy is a major prostate cancer diagnosis procedure that can cause infectious complications. Osteoarticular localization is uncommon. Aim: To report a case of spondylodiscitis due to a transrectal prostate biopsy and highlight therapeutical principles. Case Presentation: A 60-year-old male underwent transrectal prostate biopsy performed because of high PSA level, and presented 48 hours later with back pain, fever at 40°C associated with an obnubilation. He was treated for malaria without favorable evolution. Persistance of pain and occurrence of neurologic manifestations motivated dorso-lumbar Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) which permitted diagnosis of spondylodiscitis. The treatment was made by triple antibiotic therapy combining Imipenem 500 mg/8h (IV); Ofloxacin 200 mg/12h (IV) and Metronidazole 500 mg/8h (IV) over four weeks. Evolution under treatment was favorable. Conclusion: Spondylodiscitis is an exceptional complication of transrectal prostate biopsy. It may be evocated in case of bones pain after prostate biopsy.
AGENCY, EXPERTISE AND WORKING LIFE SKILLS - STUDENTS’ CONCEPTIONS OF THE GENERIC COMPETENCES REQUIRED IN THE WORLD OF WORK

Fundamental changes in working life highlight the demands on the co-operation between the educational sector and working life, that should contribute to students’ employability. In addition to discipline-specific expertise, the development of working life skills has received increasing attention when it comes to employment. Drawing on data from Finnish universities of applied sciences (n=5) and universities (n=3), this paper examines how students (n=380) value the generic competences needed in in the world of work. The study is based on European reforms of labour markets and educational structures. This paper adds to current discourses around employability by highlighting differences between students of universities and universities of applied sciences. The implications of this research suggest paying attention to the concepts of agency, expertise and working life skills as outlined in the integrative pedagogy model, as well as emphasising the requirement for soft skills and generic competences needed in working life. Article visualizations:
Exploring the Relationship between Conflict Management and Transformational Leadership Behaviors for the Success of ERP Customization

ABSTRACT Many companies customize commercial enterprise resource planning (ERP) packages to meet their specific needs by collaborating with the ERP vendors. Nevertheless, research into the relationships among conflict management (CM), transformational leadership, and the performance of ERP customization projects are limited. This study addressed this issue through an in-depth case study. The results indicate the importance of mapping between CM approaches and transformational leadership behaviors in terms of enhancing project performance. Research implication are discussed subsequently.
Knowledge management and the business development journey: a knowledge-based view among micro firms

ABSTRACT By examining key characteristics associated with the knowledge-based view (KBV) framework, and clusters of activities of dynamic capabilities in the context of micro firms operating in Liverpool, UK, this study makes a theoretical and empirical contribution to the entrepreneurship literature. In-depth, face-to-face interviews were conducted with leaders of five micro firms in 2017, and follow up interviews in 2018. Aligned with the KBV, assimilating previous business and learning experiences (transferability), incorporating previously developed knowledge (aggregation), taking stock of knowledge through its applicability within the firm (appropriability), linking past and newly acquired knowledge to create firm strategies (specialisation), and making use of knowledge to maximise opportunities (knowledge requirements of production) were highlighted. Fulfiling these characteristics, coupled with firms’ reconfiguration, which emerged through diversifying, or even divesting, can enhance firms’ knowledge base, their competitiveness, and overall performance. A theoretical framework illustrating associations between theory, findings, and their implications is proposed.
Central role of the glutamate metabolism in long-term antiretroviral treated HIV-infected individuals with metabolic syndrome: a cross-sectional cohort study

Metabolic syndrome (MetS) is one of the major factors for cardiometabolic comorbidities in people living with HIV (PLWH). The long-term consequences of HIV-infection and combination antiretroviral therapy (cART) in metabolic reprogramming are unknown. In this study, we aim to investigate metabolic alterations in long-term well-treated PLWH with MetS to identify the potential mechanism behind the MetS phenotype using advanced statistical and machine learning algorithms.We included 200 PLWH ≥40 years old from the Copenhagen Comorbidity in HIV-infection (COCOMO) study. PLWH were grouped into PLWH with MetS (n=100) and without MetS (n=100). The clinical data were collected from the COCOMO database and untargeted plasma metabolomics was performed using ultra-high-performance liquid chromatography/mass spectrometry (UHPLC/MS/MS). Both clinical characteristics and plasma samples were collected at study baseline. We applied several conventional approaches, machine learning algorithm and linear classification model to identify the biologically relevant metabolites associated with MetS in PLWH.A total of 877 characterized biochemicals were identified. Of these, 9% (76/877) biochemicals differed significantly between PLWH with and without MetS (false discovery rate <0.05). The majority belonged to the amino acid metabolism (n=33, 43%). A consensus identification by combining supervised and unsupervised methods indicates 11 biomarkers of MetS phenotype in PLWH, of which seven (63%) have higher abundance in PLWH with MetS compared to the PLWH without MetS. A weighted co-expression network by Leiden partitioning analysis identified seven communities of positively intercorrelated metabolites, of which a single community contained six of the potential biomarkers mainly related to glutamate metabolism (glutamate, 4-hydroxyglutamate, α-ketoglutamate and γ-glutamylglutamate). Altered amino acid metabolism is a central characteristic of PLWH with MetS and a potential central role for glutamate metabolism in establishing this phenotype is suggested.Rigshospitalet Research Council, Danish National Research Foundation (DNRF126) NovoNordisk Foundation, the Swedish Research Council (2017-01330 and 2018-06156)
Effect of Lactobacillus plantarum with Antioxidant Properties on the Flavour and Oxidation of Chinese Sausages

Effects of Lactobacillus plantarum (L. plantarum) strain P3 and mutant strain P3-M2 with antioxidant properties on fermented sausage flavour via lipid and protein oxidation inhibition were investigated. The commerical strain was used to as positive control (control group). Results showed that P3 and P3-M2 had the ability of reducing lipid and protein oxidantion during fermentation. The increase of lipoxygenase activity and thiobarbituric acid reactive substances (TBARS) values were retarded. Metmyoglobin (MetMb) content relatively decreased significantly(p < 0.05), while sulfhydryl group contents were significantly higher than those in the control((p < 0.05). Futhermore, changes in protein bands were confrimed with the less protein oxidation with P3-M2 than P3 and the control. Additionally, strain P3 and P3-M2 significantly enhanced the type and relative content of esters after fermented (p < 0.05), indicating that strain P3 and P3-M2 contributed to the production of flavor substances. These results revealed that L. plantarum strains with antioxidant properties were a promising approach in inhibiting lipid and protein oxidation of chinese sausage, maintaining the stable natural structure of protein, simultaneously improve the quality of sausage and promote the sausage to form a better flavor.
Halo or Cannibalization? How New Software Entrants Impact Sales of Incumbent Software in Platform Markets

Platform markets involve indirect network effects as two or more sides of a market interact through an intermediary platform. Many platform markets consist of both a platform device and corresponding software. In such markets, new software introductions influence incumbent software sales, and new entrants may directly cannibalize incumbents. However, entrants may also create an indirect halo impact by attracting new platform adopters, who then purchase incumbent software. To measure performance holistically, this article introduces a method to quantify both indirect and direct paths and determine which effect dominates and when. The authors identify relevant moderators from the sensations–familiarity framework and conduct empirical tests with data from the video game industry (1995–2019). Results show that the direct impact often results in cannibalization, which generally increases when the entrant is a superstar or part of a franchise. For the indirect halo impact, superstar entrants significantly increase platform adoption, which can help all incumbents. Combining the direct and indirect impacts, the authors find that only new software that is both a superstar and part of a franchise increases platform adoption sufficiently to overcome direct cannibalization and achieve a net positive effect on incumbent software; all other types of entrants have a neutral or negative overall effect.