Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling the construction readiness parameters for abandoned housing projects in Malaysia: PLS-SEM approach

PurposeThis study aims to develop an interrelation model between critical parameters for assessing the construction readiness (CR) of abandoned housing projects, using Malaysia as a case study. To achieve that aim, the study objectives are to (1) identify critical parameters for assessing the CR of abandoned housing projects; (2) develop underlying constructs to categorize interrelated critical parameters and (3) assess the influence of the underlying constructs on the CR of abandoned housing projects.Design/methodology/approachThis study identifies potential parameters for assessing the CR of abandoned housing projects by reviewing existing literature and interviewing industry professionals. Then, the list was used to develop a questionnaire survey. The collected survey data were analyzed using normalized mean analysis to identify the critical parameters. Exploratory factor analysis (EFA) was used to develop underlying constructs to categorize interrelated critical parameters. Finally, the influence of the underlying constructs on the CR of abandoned housing projects was examined through partial least squares structural equation modeling (PLS-SEM). FindingsThe analyses suggest that 21 critical parameters are affecting the CR of abandoned housing projects. The critical parameters can be categorized into four underlying constructs: construction site evaluation, management verification, uncertainties mitigation and document approval. Finally, the analyses confirmed that all four constructs affect the CR of abandoned housing projects.Originality/valueThis study is a pioneering effort to quantitatively analyze the parameters for assessing the CR of abandoned housing projects. The findings significantly benefit researchers and industry professionals by providing a list of critical parameters associated with the CR of abandoned housing projects.
Clinical effects and biological mechanisms of exercise on lumbar disc herniation

Lumbar Disc Herniation (LDH) is a syndrome in which lumbar disc degeneration, rupture of the annulus fibrosus, and herniation of the nucleus pulposus irritate and compress the nerve roots and cauda equina, resulting in the main manifestations of lumbar pain and/or lower extremity pain. There is evidence in various clinical areas that exercise is effective in treating LDH, and exercise intervention for more than 2 weeks reduces disease activity in LDH. However, the mechanism of exercise’s action in reducing disease activity in LDH is unclear. In this article, we first summarize and highlight the effectiveness of exercise in treating LDH and provide guideline recommendations regarding exercise type, intensity, frequency, and duration. Then, we integrate the existing evidence and propose biological mechanisms for the potential effects of exercise on neuromechanical compression, inflammatory chemical stimuli, and autoimmune responses from the perspective of LDH pathogenesis as an entry point. However, a large body of evidence was obtained from non-LDH populations. Future research needs to investigate further the proposed biological mechanisms of exercise in reducing disease activity in LDH populations. This knowledge will contribute to the basic science and strengthen the scientific basis for prescribing exercise therapy for the routine clinical treatment of LDH.
Multi-replicas integrity checking scheme with supporting probability audit for cloud-based IoT

Nowadays, more people are choosing to use cloud storage services to save space and reduce costs. To enhance the durability and persistence, users opt to store important data in the form of multiple copies on cloud servers. However, outsourcing data in the cloud means that it is not directly under the control of users, raising concerns about security and integrity. Recent research has found that most existing multicopy integrity verification schemes can correctly perform integrity verification even when multiple copies are stored on the same Cloud Service Provider (CSP), which clearly deviates from the initial intention of users wanting to store files on multiple CSPs. With these considerations in mind, this paper proposes a scheme for synchronizing the integrity verification of copies, specifically focusing on strongly privacy Internet of Things (IoT) electronic health record (EHR) data. First, the paper addresses the issues present in existing multicopy integrity verification schemes. The scheme incorporates the entity Cloud Service Manager (CSM) to assist in the model construction, and each replica file is accompanied with its corresponding homomorphic verification tag. To handle scenarios where replica files stored on multiple CSPs cannot provide audit proof on time due to objective reasons, the paper introduces a novel approach called probability audit. By incorporating a probability audit, the scheme ensures that replica files are indeed stored on different CSPs and guarantees the normal execution of the public auditing phase. The scheme utilizes identity-based encryption (IBE) for the detailed design, avoiding the additional overhead caused by dealing with complex certificate issues. The proposed scheme can withstand forgery attack, replace attack, and replay attack, demonstrating strong security. The performance analysis demonstrates the feasibility and effectiveness of the scheme.
A qualitative study exploring community pharmacists’ awareness, attitudes and perceptions about drive-thru community pharmacy service in Malaysia during COVID-19

ABSTRACT Introduction: Drive-thru services are not given sufficient focus in the community pharmacy setting which was highlighted during COVID-19, particularly in Malaysia. This study aimed to explore the community pharmacists’ perspectives regarding drive-thru community pharmacy service during COVID-19 in Malaysia. Methods: In-depth online semi-structured individual interviews were conducted among 25 community pharmacists working in Malaysia. All interviews were conducted between March 2022 and May 2022 and were audio-recorded and transcribed verbatim, and then analysed by thematic analysis. Results: Thematic analysis yielded seven major themes, 1-familiarity with drive-thru community pharmacy service during COVID-19, 2-willingness toward this service during COVID-19, 3-perceived benefits toward drive-thru community pharmacy service during COVID-19, 4-perceived disadvantages toward this service, 5-barriers toward drive-thru community pharmacy service, 6-factors affecting the preference toward this service, and 7-facilitators to drive-thru community pharmacy service. Enhancing social distancing and preventing the spread of COVID-19 were the major perceived benefits of this service during COVID-19 as reported by participants. Conclusion: Overall, community pharmacists reported positive attitudes toward drive-thru community pharmacy service during COVID-19. However, concerns about poor communication between the pharmacist and the patient, limited counselling, and dispensing errors were acknowledged. These concerns would need to be addressed to improve the provision of drive-thru community pharmacy service.
Assessing anaerobic speed reserve: A systematic review on the validity and reliability of methods to determine maximal aerobic speed and maximal sprinting speed in running-based sports

Purpose Locomotor profiling using anaerobic speed reserve (ASR) enables insights into athletes’ physiological and neuromuscular contributing factors and prescription of high-intensity training beyond maximal aerobic speed (MAS). This systematic review aimed to determine the validity and reliability of different methods to assess the characteristics of ASR, i.e., MAS and maximal sprinting speed (MSS). Methods A comprehensive search of the PubMed and Web of Science databases was conducted according to the PRISMA guidelines. Studies were included if they reported data on validity and/or reliability for methods to assess MAS or MSS. Results 58 studies were included with 28 studies referring to MAS and 30 studies to MSS. Regarding MAS, different methods for cardiopulmonary exercise testing yielded different values (four out of seven studies) of MAS (Cohen’s d (ES) = 0.83–2.8; Pearson’s r/intraclass correlation coefficient (r/ICC) = 0.46–0.85). Criterion validity of different field tests showed heterogeneous results (ES = 0–3.57; r/ICC = 0.40–0.96). Intraday and interday reliability was mostly acceptable for the investigated methods (ICC/r>0.76; CV<16.9%). Regarding MSS, radar and laser measurements (one out of one studies), timing gates (two out of two studies), and video analysis showed mostly good criterion validity (two out of two studies) (ES = 0.02–0.53; r/ICC = 0.93–0.98) and reliability (r/ICC>0.83; CV<2.43%). Criterion validity (ES = 0.02–7.11) and reliability (r/ICC = 0.14–0.97; CV = 0.7–9.77%) for global or local positioning systems (seven out of nine studies) and treadmill sprinting (one out of one studies) was not acceptable in most studies. Conclusion The criterion validity of incremental field tests or shuttle runs to examine MAS cannot be confirmed. Results on time trials indicate that distances adapted to the participants’ sporting background, fitness, or sex might be suitable to estimate MAS. Regarding MSS, only sprints with radar or laser measures, timing gates, or video analysis provide valid and reliable results for linear sprints of 20 to 70 m.
Exploring Entrepreneurship in Pharmacy: Attitudes and Perceptions Among Saudi Pharmacists and Students

Introduction Entrepreneurship has recently become a focus in community development, innovation, and economic growth, including within pharmaceutical organizations. However, it remains a relatively new aspect of pharmacy education. For the effective incorporation of entrepreneurship in this field, a robust educational foundation is critical, one that emphasizes risk-taking, strategic planning, competitive spirit, and a sense of social responsibility. This study aims to evaluate Saudi pharmacists’ attitudes towards entrepreneurship in their practice. Methods A cross-sectional survey design to assess the attitudes of pharmacists and pharmacy students in Saudi Arabia towards entrepreneurship. The study sample consisted of 302 individuals, selected through convenience sampling, all of whom were either licensed pharmacists or pharmacy students in Saudi Arabia. The survey was conducted electronically and disseminated online throughout the duration of January 2023, spanning a one-month period. The research sought to provide a deeper understanding of how entrepreneurship is perceived within the pharmacy field. Results The study involved 302 pharmacists in Saudi Arabia, with the majority being pharmacy students and Doctor of Pharmacy holders. Over 60% of the participants worked for the government sector. Results showed a strong interest in entrepreneurship, with nearly 80% expressing interest and believing in the entrepreneurial potential of pharmacists. However, there was a knowledge gap, as only 52% were familiar with entrepreneurship concepts, and most had not taken entrepreneurship courses. More than half of the participants reported insufficient institutional support for entrepreneurship. Remarkably, only 1% had started a pharmaceutical business. Conclusion In conclusion, this study emphasizes the interest in entrepreneurship among pharmacists, highlighting the need for raising familiarity and formal education in the field. Factors such as working in the government sector were associated with higher willingness to become entrepreneurs, while the lack of awareness and institutional support hindered the entrepreneurial mindset.
Study of miRNA and lymphocyte subsets as potential biomarkers for the diagnosis and prognosis of gastric cancer

Objective The aim of this study was to identify the expression of miRNA and lymphocyte subsets in the blood of gastric cancer (GC) patients, elucidate their clinical significance in GC, and establish novel biomarkers for the early diagnosis and prognosis of GC. Methods The expression of miRNAs in the serum of GC patients was screened using second-generation sequencing and detected using qRT-PCR. The correlation between miRNA expression and clinicopathological characteristics of GC patients was analyzed, and molecular markers for predicting cancer were identified. Additionally, flow cytometry was used to detect the proportion of lymphocyte subsets in GC patients compared to healthy individuals. The correlations between differential lymphocyte subsets, clinicopathological features of GC patients, and their prognosis were analyzed statistically. Results The study revealed that hsa-miR-1306-5p, hsa-miR-3173-5p, and hsa-miR-296-5p were expressed at lower levels in the blood of GC patients, which is consistent with miRNA-seq findings. The AUC values of hsa-miR-1306-5p, hsa-miR-3173-5p, and hsa-miR-296-5p were found to be effective predictors of GC occurrence. Additionally, hsa-miR-296-5p was found to be negatively correlated with CA724. Furthermore, hsa-miR-1306-5p, hsa-miR-3173-5p, and hsa-miR-296-5p were found to be associated with the stage of the disease and were closely linked to the clinical pathology of GC. The lower the levels of these miRNAs, the greater the clinical stage of the tumor and the worse the prognosis of gastric cancer patients. Finally, the study found that patients with GC had lower absolute numbers of CD3+ T cells, CD4+ T cells, CD8+ T cells, CD19+ B cells, and lymphocytes compared to healthy individuals. The quantity of CD4+ T lymphocytes and the level of the tumor marker CEA were shown to be negatively correlated. The ROC curve and multivariate logistic regression analysis demonstrated that lymphocyte subsets can effectively predict gastric carcinogenesis and prognosis. Conclusion These miRNAs such as hsa-miR-1306-5p, hsa-miR-3173-5p, hsa-miR-296-5p and lymphocyte subsets such as the absolute numbers of CD3+ T cells, CD4+ T cells, CD8+ T cells, CD19+ B cells, lymphocytes are down-regulated in GC and are closely related to the clinicopathological characteristics and prognosis of GC patients. They may serve as new molecular markers for predicting the early diagnosis and prognosis of GC patients.
Worldwide prevalence and associated factors of nursing staff turnover: A systematic review and meta‐analysis

Abstract Aims To systematically assess the worldwide prevalence of nurse turnover and discuss its influencing factors. Design Systematic review and meta‐analysis. Methods PubMed, the Cochrane Library, Web of Science, CINAHL, China Knowledge Resource Integrated Database, Wanfang Database were searched from their commencement date to 25 March 2021. Two authors independently reviewed the studies. Stata 15.0 software package was used for statistical analysis, with estimates of data on the prevalence of nurse turnover using a random‐effects model. This review was performed according to the Joanna Briggs Institute (JBI) manual for evidence synthesis and the Preferred Reporting Items for Systematic Review and Meta‐Analysis (PRISMA) Statement. PROSPERO Registration Number:CRD42020208873. Results A total of 15 studies covering 852,317 nurses were included in the analyses. The pooled prevalence of nurse turnover was 18% (95% CI: 11% to 26%, I 2 = 99.86%, p < 0.0001). Geographic regions (Asia), published years (2001 to 2010) and respondents (new nurses) were significantly associated with the prevalence of nurse turnover. Additionally, several risk factors for turnover were identified in the literature, involving demographic factors (young, single, have short working hours, lower level of education and male nurses), organizational factors (small‐scale hospitals, low salary levels, larger workload, developed region and absence of labour union), satisfaction (dissatisfaction with organization, profession, job and competence).
Improving fraud detection with semi-supervised topic modeling and keyword integration

Fraud detection through auditors’ manual review of accounting and financial records has traditionally relied on human experience and intuition. However, replicating this task using technological tools has represented a challenge for information security researchers. Natural language processing techniques, such as topic modeling, have been explored to extract information and categorize large sets of documents. Topic modeling, such as latent Dirichlet allocation (LDA) or non-negative matrix factorization (NMF), has recently gained popularity for discovering thematic structures in text collections. However, unsupervised topic modeling may not always produce the best results for specific tasks, such as fraud detection. Therefore, in the present work, we propose to use semi-supervised topic modeling, which allows the incorporation of specific knowledge of the study domain through the use of keywords to learn latent topics related to fraud. By leveraging relevant keywords, our proposed approach aims to identify patterns related to the vertices of the fraud triangle theory, providing more consistent and interpretable results for fraud detection. The model’s performance was evaluated by training with several datasets and testing it with another one that did not intervene in its training. The results showed efficient performance averages with a 7% increase in performance compared to a previous job. Overall, the study emphasizes the importance of deepening the analysis of fraud behaviors and proposing strategies to identify them proactively.
Initiation of oral hepatitis C virus treatment: Which barriers are pertinent for ambulatory individuals with a history of illicit substance use? A qualitative interview study

Abstract Background and Aims The World Health Organization has set a goal to eradicate hepatitis C virus (HCV) by the year 2030. Nonadherence to HCV treatment has substantial economic implications due to high treatment costs, among others. Barriers to start HCV treatment may be critical. The aim of this study was to assess pertinent barriers to HCV treatment in ambulatory patients with a history of illicit substance use and to compare them to the literature. Methods Barriers to HCV treatment mentioned by the key risk group (i.e., people who inject drugs) were retrieved from literature through a pragmatic literature search. From 34 published articles, we identified 80 modifiable barriers that were bundled in 23 items within the four topics “Personal difficulties and barriers to treatment,” “Personal motivation to be treated,” “Knowledge about the disease,” and “Received information about the medicine. ” In‐depth semistructured interviews were performed face‐to‐face with ambulatory patients from the University Psychiatric Clinics in Basel, Switzerland. Transcripts were coded inductively. Results Interviews were performed with seven individuals (mean age: 48.3 years; range: 38–63 years; one woman) treated with oral direct‐acting antivirals between 2014 and 2022. Thirteen barriers to start HCV treatment were mentioned that corresponded to the five categories: information, attitudes, swallowing difficulties, social environment, and unfavorable lifestyle. The barrier “swallowing difficulties” emerged exclusively from the statements provided by the interviewees. Conclusion Barriers to the initiation of HCV treatment indicated by our interviewees clearly differed from the literature. Notably, the challenge of swallowing medicines may be particularly relevant for physicians prescribing and pharmacists dispensing HCV medication.
Persistence of a high prevalence of anemia in rural areas among pregnant women in Burkina Faso. A cross-sectional study

Despite WHO recommendations to reduce the global prevalence of anemia among women of reproductive age by 2025, anemia remains a truly global public health problem, especially among pregnant women. The objective of our study was to examine the relationship between anemia and the place of residence in pregnant women. This cross-sectional study was conducted in six health facilities between December 2018 and March 2019. Anemia was diagnosed using HemoCue HB 301 and a hemoglobin concentration <11 g/dl was classified as anemic. Adjusted logistic regression analysis was performed to examine relation between anemia and the place of residence in pregnant women. A total of 1027 pregnant women were included in the study. The average age of females was 25.79±6.02 years. The prevalence of anemia was 57.2% (585/1023). In logistic regression analysis adjusted for age, wealth, education and parity, women living in rural areas were more likely to be anemic compared to women living in urban areas (ORa=1.33; 95% CI [1.01-1,74]. Rural women are more likely to be anemic. Strategies to prevent anemia among pregnant women need to be strengthened in rural areas.
Predictive role of selected biomarkers in differentiating gram-positive from gram-negative sepsis in surgical patients: a retrospective study

Background Patients after major surgery are at high risk of developing sepsis, which is accompanied by elevated serum levels of C-reactive protein (CRP) and procalcitonin (PCT). This study aimed to examine the differences in serum biomarker levels concerning the causative agent of sepsis in surgical patients. Methods A retrospective study was carried out in the surgical intensive care unit (ICU) and included 81 septic patients admitted from January 2019 to May 2022, who had positive blood cultures (BC). Serum levels of PCT, CRP, white blood cells (WBC) and platelet counts were recorded on the day of the positive BC and over the following 3 days. Results Patients with gram(–) sepsis had significantly higher PCT levels, and lower platelet count compared to patients with gram(+) sepsis. High PCT and low platelets levels in all measurements were a significant predictor of gram(–) isolate with the highest predictive value on the third day after BC sampling, with AUROC 0.821 (95% CI: 0.692–0.950), P = 0.001, and AUROC 0.676 (95% CI: 0.541–0.811), P = 0.02, respectively. In multivariate logistic regression, platelets the day after BC sampling and PCT on the third day made a significant contribution in distinguishing gam(+) from gram(–) BC. Age and high serum CRP levels were significant predictors of poor outcomes. Conclusion PCT and platelets may be useful biomarkers for predicting the causative agent of sepsis in surgical patients.
Population Pharmacokinetics and Model-Based Dose Optimization of Vancomycin in Sudanese Adult Patients with Renal Impairment

Purpose The study aimed to perform a population pharmacokinetic (PK) analysis to obtain vancomycin PK parameter estimates in Sudanese adult patients. The population PK model is then applied to perform model-based dose optimization. Patients and Methods Data were collected through a retrospective, single-center, observational cohort study performed in Aliaa Specialist Hospital, Khartoum, Sudan. A population PK model was developed using the MonolixSuite 2020R1 to explore the potential effects of demographics and laboratory covariates on vancomycin PK. Monte Carlo simulations were performed to optimize dosage regimens as a function of creatinine clearance (CLcr) and virtual patients were partitioned into five CLcr groups. Results We retrospectively collected 194 vancomycin plasma concentrations from 99 adults. The median (interquartile range) for age (years) and CLcr (mL/min) were 65 (50–75) and 12.7 (5.52–25.78), respectively. Vancomycin PK data were best fitted using a one-compartment model with linear elimination. The estimates of clearance and volume of distribution were 2.02 L/h and 65 L, respectively. CLcr was identified as the main covariate explaining the PK variability in vancomycin CL. CL significantly decreased with decreasing CLcr. For the five CLcr groups evaluated, a tailored vancomycin daily maintenance dose (using patients’ CLcr) ranged from 200 to 1650 mg. Overall, simulations showed that 45% (CI; 41.11–47.36%) of patients would achieve a target AUC with the suggested dosages. Conclusion A population PK model of vancomycin was developed using data obtained from adult Sudanese patients. Model-based dose optimization can aid clinicians in selecting initial vancomycin doses that will maximize the likelihood of a favorable treatment response.