Miracle-dz/UniFAR-FTUs huggingface dataset:
Public-private partnership models for rehabilitation service delivery: A scoping review

Background Public-private partnership (PPP) for the delivery of health services is known to improve access to healthcare, yet little is known about its utilisation for rehabilitation services, particularly in sub-Saharan Africa (SSA). Objectives As a first step to generating evidence to develop a PPP model for physiotherapy service delivery in South Africa, our study mapped and described available research evidence on PPP models for rehabilitation services in the global literature. Method The Arksey and O’Malley framework guided our scoping review. Published research on rehabilitation and PPP was searched in five databases from 2000 to August 2022 using keywords, Medical Subject Headings (MeSH) and Boolean terms. Two reviewers independently completed the titles, abstracts and full-text screening of the articles and data extraction from the included articles. A narrative synthesis was conducted, and summaries of the findings are reported. Results Nine articles were included from a total of 137 obtained from the evidence searches. Of these, five were from Australia and the others from Hong Kong, Denmark, Bangladesh and the Netherlands. All the included articles showed evidence of PPP models for physiotherapy service delivery. Conclusion Our study suggests that PPP models for physiotherapy service delivery exist, particularly in high-income countries (HICs). It also highlights limited research in low- and middle-income countries (LMICs). Clinical implications There is a need for primary studies to generate further evidence and develop innovative PPP models for rehabilitation services for the populations who need them most as part of efforts towards improving access to healthcare in LMICs.
Bootstrapping Confidence Intervals for Fit Indexes in Structural Equation Modeling

Bootstrapping approximate fit indexes in structural equation modeling (SEM) is of great importance because most fit indexes do not have tractable analytic distributions. Model-based bootstrap, which has been proposed to obtain the distribution of the model chi-square statistic under the null hypothesis (Bollen & Stine, 1992), is not theoretically appropriate for obtaining confidence intervals (CIs) for fit indexes because it assumes the null is exactly true. On the other hand, naive bootstrap is not expected to work well for those fit indexes that are based on the chi-square statistic, such as the root mean square error of approximation (RMSEA) and the comparative fit index (CFI), because sample noncentrality is a biased estimate of the population noncentrality. In this article we argue that a recently proposed bootstrap approach due to Yuan, Hayashi, and Yanagihara (YHY; 2007) is ideal for bootstrapping fit indexes that are based on the chi-square. This method transforms the data so that the “parent” population has the population noncentrality parameter equal to the estimated noncentrality in the original sample. We conducted a simulation study to evaluate the performance of the YHY bootstrap and the naive bootstrap for 4 indexes: RMSEA, CFI, goodness-of-fit index (GFI), and standardized root mean square residual (SRMR). We found that for RMSEA and CFI, the CIs under the YHY bootstrap had relatively good coverage rates for all conditions, whereas the CIs under the naive bootstrap had very low coverage rates when the fitted model had large degrees of freedom. However, for GFI and SRMR, the CIs under both bootstrap methods had poor coverage rates in most conditions.
Auspicious and Adverse Effects of Curcuma longa L Supplemented Diet on Total Protein and Kidney Injury Molecule-1 in Indomethacin Treated Rats

The influences of Curcuma longa rhizome supplemented diet at different percentages on total protein concentration in serum, selected organs (heart, kidney and liver) and kidney injury molecule-1 (KIM-1) of indomethacin treated rats were investigated in this study. A total of 35 mature male Wistar rats, weighing between 110 and 160g, were divided into seven groups of five rats each at random. Rats in groups A through D were fed diets supplemented with 1%, 2%, 5%, and 10% turmeric; group E received a pre-treatment of the conventional medication omeprazole (20 mg/kg) orally; and groups F and G received a 28-day supply of regular rat meal. Animals in all groups were then given a single oral dose of indomethacin (60 mg/kg b.w.), fasted for the next day (except group G), and left for six (6) hours before being sacrificed. The effect(s) of turmeric rhizome powder on total protein concentration in serum, the selected organs mentioned above and kidney KIM-1 were determined. It was revealed from this study that there was increased serum total protein concentration of animals in F and D groups compared with animals in groups G and A-C with concomitant decrease in heart and kidney protein activities in concentration dependent manner. However, there was no concomitant decrease in the liver of animals in groups G and A-C. Furthermore, the result also showed a significant $(P < 0.05)$ increased expression of the kidney injury marker, KIM-1 in groups F and D in comparison with groups G and A-C in dose dependent wise. It can therefore be concluded that consumption of turmeric at 10% of whole recipe can enhance the damaging effect of indomethacin. Nonetheless, inclusion of turmeric powder at moderate concentration between 1-5% at most could mitigate the tissue damaging effect of indomethacin and therefore serve as tissue protective agent.
Extracting 3-D Structural Lines of Building From ALS Point Clouds Using Graph Neural Network Embedded With Corner Information

The representation quantifies the geometric shape and topology of a building is a necessary procedure for many urban planning applications. A sharp line framework is a high-level structural cue providing a compact building representation. However, accurate and efficient structural line extraction remains a challenging task given the variety and complexity of buildings. This study proposes a general 3-D structural line extraction method from point clouds. The building points are extracted and further divided into various single-building units. In the proposed 3-D structural line extraction method, an individual building point cloud is the input. First, the corners are detected by an associative learning module. Next, the curve connection is implemented by a link prediction block based on the graph neural network (GNN) embedded with corner information. After that, the obtained curves are subsequently converted into a topological graph. Finally, the corner points are optimized to achieve precise fitting of the structural lines. The experiments and comparisons on two airborne laser scanning (ALS) point cloud datasets demonstrate the effectiveness of the proposed method and the ability to retrieve ideal structural line results for building point clouds. Furthermore, without reprocessing, the proposed method yielded better results for various dataset types (outdoor building, indoor scene, and furniture point clouds) than the prevalent published methods (i.e., EC-Net, PIE-Net, and PC2WF), verifying its strength and efficacy. To further verify the accuracy of the obtained structural lines, we also introduce a line-based model reconstruction method that employs these lines for building reconstruction.
Triticum vulgare Extract and Polyhexanide (Fitostimoline® Hydrogel/Fitostimoline® Plus Gauze) versus Saline Gauze Dressing in Patients with Diabetic Foot Ulcers: Results of a Randomized Controlled Trial

Background: The use of dressings is an essential component of the standard of care for diabetic foot ulcers (DFUs); however, despite the wide variety of dressings available, there is a lack of evidence from head-to-head randomized controlled trials. We evaluated the efficacy and safety of Triticum vulgare extract and polyhexanide (Fitostimoline® hydrogel/Fitostimoline® Plus gauze) versus saline gauze dressings in patients with DFUs. Methods: This study involved a monocentric, two-arm, open-label, controlled trial in patients with DFUs (Grades I or II, Stage A or C, based on the Texas classification) randomized to 12 weeks of dressing with Fitostimoline® hydrogel/Fitostimoline® Plus gauze or saline gauze. The number of patients with complete healing, the reduction in DFU size, and the presence of local signs and symptoms of the wound and perilesional skin were evaluated every two weeks and at the end of treatment. Results: A total of 40 adult patients were recruited (20 patients in each treatment group). The proportion of patients with complete healing was similar between the two groups (61% vs. 74%, p = 0.495, Fitostimoline® hydrogel/Fitostimoline® Plus gauze vs. saline gauze, respectively), without significant differences, as well as the reduction in DFU size. A significant improvement in local signs and symptoms of the wound and signs of perilesional skin in the Fitostimoline® hydrogel/Fitostimoline® Plus gauze compared with the saline gauze group was observed. Conclusions: In a clinical setting, the use of Fitostimoline® hydrogel/Fitostimoline® Plus gauze dressing in patients with DFUs significantly improves signs and symptoms of the wound and signs of perilesional skin compared with saline gauze dressing with a similar efficacy in terms of wound healing.
Stress and Coping Mechanism among Students Residing in Private School Hostels

Background. Mental health problems can significantly impact a student’s academic performance, career, health, and future if they are not identified and managed in time. The poor mental health of young people is a global problem, including in Nepal. However, the scenario of perceived stress among adolescent students residing in academic hostels is not explored in Nepal. Therefore, this study aimed at determining the prevalence of perceived stress with its associated predictors, experienced stressors, and coping mechanisms among adolescent students residing in private hostels in Nepal. Methods. A cross-sectional study design was employed among all adolescent students of grades six to ten who resided in eight school hostels in Nepal. A total of 209 students responded to self-administered validated questionnaires for perceived stress (PSS-10) and coping scales. Results. More than half (51.67%) of the students experienced symptoms of perceived stress. Strict discipline in the hostel (77.03%) and groupism based on religion (5.26%) were the most common and least common stressors experienced, respectively. One-third of the students ( n = 70 , 33.5%) very often felt confident about handling personal problems. The presence of a mischievous element and neglect from friends were significant stressors determined. Seeking social support was the most used coping strategy over externalizing behaviours such as using bad words, yelling, and shouting. Conclusion. The study confirmed the presence of perceived stress among students living in hostels, where hostel residential factors were the predominant predictors. As a minority of the students can properly manage their stress, it is necessary to provide students with the appropriate educational counselling to help them deal with potential obstacles. Additionally, monitoring, increased communication with family and friends, and improving the hostel environment can be important in addressing students’ perceived stress.
Formes quadratiques et extensions en caractéristique 2

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Reachable set estimation for linear systems in the presence of both discrete and distributed delays

The reachable set estimation for linear systems subject to both discrete and distributed delays is considered in this study. By choosing appropriate Lyapunov-Krasovkii functionals, some sufficient conditions are established to guarantee that all the states starting from the origin are bounded by an ellipsoid. The problem of finding the smallest possible ellipsoid can be transformed into an optimisation problem with matrix inequality constraints. Moreover, the computational complexity is reduced since fewer variables are involved in the obtained results. These criteria are further extended to systems with polytopic uncertainties. It is shown that in the absence of distributed delay, the obtained condition is also less conservative than the existing ones.
Relationships between different expressions of thermo-optic and photoelastic coefficients of YAG crystal

Using correct expressions for piezo-optic and elasto-optic effects, the analytical relations between thermal coefficients of the refractive index at zero stress and zero strain have been established for YAG-type cubic crystals. Using the plane strain and plane stress approximations, analytical expressions for thermal radial and tangential changes of the refractive index have been found. The relations between different expressions for photoelastic coefficients are established. Examples of the inconsistent usage of generalised thermo-optic coefficients are discussed. It is shown that their values are often significantly overestimated when the results of the plane stress approximation are applied to a laser rod with a length larger than its diameter.
A Novel Schematic Design of Enhanced State Gated Transformers for Energy Disaggregation of Nonintrusive Load Monitoring

Nonintrusive load monitoring (NILM) is a technique for estimating the energy consumption of individual appliances without the need for direct metering. In this letter, we examine the attention mechanism of transformers and present two transformer-based NILM approaches, named state gated transformer (SGT) and enhanced state gated transformer (eSGT) to learn complex nonlinear relationships between aggregate and individual power consumption of appliances. The proposed SGT employs parallel self-attention networks, whereas the proposed eSGT enhances the former with a cross-coupled pair structure. We present the schematic design of transformers which allows for concise characterization of the attention mechanism, inspiring the exploration of novel designs at the circuit level. Our experimental results demonstrate the effectiveness and versatility of the proposed approach for real-world NILM datasets.
The Correlation between Critical Thinking and Metacognitive Skills on Student Retention Across Genders in Senior High School

[Objective] The current study explored the correlation and contribution of critical thinking and metacognitive skills toward female and male students' retention in senior high school. [Methodology] This study used a descriptive correlational design, where critical thinking and metacognitive skills served as the predictor, during retention as the criterion. A total of 230 students participated in this study. The participants comprised 112 (48.70%) male students and 118 (51.30%) female students. An essay test and a scoring rubric were used to collect data on participants' critical thinking and metacognitive skills. The research data were analyzed using a multiple regression analysis at a 5% significance level, followed by ANOVA to examine the contribution of critical thinking and metacognitive skills toward male and female students' retention. [Results] The statistical analysis revealed that the simultaneous contribution of critical thinking and metacognitive skills toward female students' retention was higher than that toward male students' retention. The effective contribution values of critical thinking and metacognitive skills toward male students' retention were 2.44% and 10.06%, respectively. Meanwhile, critical thinking and metacognitive skills contributed 7.89% and 12.81% toward female students' retention. [Conclusions] There was a simultaneous correlation between critical thinking, metacognitive skills, and retention of male and female high school students. The effective contribution of critical thinking and metacognitive skills toward female students' retention was more significant than that toward male students' retention. The findings of this study suggest that high school teachers need to consider gender equality when implementing learning strategies to improve critical thinking and metacognitive skills.
ERROR ESTIMATES FOR A SEMI-DISCRETE MIXED DISCONTINUOUS GALERKIN METHOD WITH AN INTERIOR PENALTY FOR PARABOLIC PROBLEMS

【In this paper, we consider a semi-discrete mixed discontinuous Galerkin method with an interior penalty to approximate the solution of parabolic problems. We define an auxiliary projection to analyze the error estimate and obtain optimal error estimates in $L^{\infty}(L^2)$ for the primary variable u, optimal error estimates in $L^2(L^2)$ for ut, and suboptimal error estimates in $L^{\infty}(L^2)$ for the flux variable ${\sigma}$ . 】
Evaluation of Effects of Spray Drying Conditions on Physicochemical Properties of Pomegranate Juice Powder Enriched with Pomegranate Peel Phenolic Compounds: Modeling and Optimization by RSM

In this study, the effects of pomegranate peel extract concentration (2.5–10%), drying temperature (160–190 °C), and feed flow rate (0.6–1 mL/s) on the properties of pomegranate juice powder enriched with pomegranate peel phenolic compounds and produced by spray drying were investigated. The moisture content, water activity (aw), solubility, water absorption capacity (WAC), hygroscopicity, dissolution time, total phenolic content (TPC), Carr index (CI), Hausner ratio (HR), and brightness (L*) of the samples were evaluated, and the optimal powder production conditions were obtained using response surface methodology (RSM). The results showed that the optimal conditions were found to be the phenolic extract concentration of 10%, the drying temperature of 189.9 °C, and the feed flow rate of 0.63 mL/s, considering the minimization of the moisture content, aw, hygroscopicity, dissolution time, CI, HR, and L*, as well as the maximization of solubility, WAC, and TPC. The effect of the phenolic extract concentration was very significant (p < 0.01) on the WAC, hygroscopicity, dissolution time, TPC, CI, HR, and L* of the powder. Moreover, the effect of the drying temperature was very significant (p < 0.01) on the aw, hygroscopicity, dissolution time, CI, and HR of the powder and significant (p < 0.05) on its moisture content. The effect of the feed flow rate was very significant (p < 0.01) on the solubility, hygroscopicity, and dissolution time of the powder and significant (p < 0.05) on its moisture content. Therefore, we found that the spray drying conditions, such as high temperature, did not negatively affect the content of phenolic compounds in pomegranate powder, and the physical properties of the resulting powder were acceptable. Thus, pomegranate powder enriched with phenolic compounds can be used as a food additive or as a dietary supplement for medicinal use.
Prescribed Drugs and Self-Directed Violence: A Descriptive Study in the Spanish Pharmacovigilance Database

Self-inflicted violence is a major and growing public health problem and its prediction and prevention is challenging for healthcare systems worldwide. Our aim was to identify prescribed drugs associated with self-directed violent behaviors in Spain. A descriptive, longitudinal and retrospective study of spontaneous reports of adverse drug reactions corresponding to self-directed violence was recorded in the Spanish Pharmacovigilance Database (FEDRA®) from 1984 to 31 March 2021. A total of 710 cases were reported in the study period. The mean age was 45.52 years (range 1–94). There were no gender differences except in children, where most reports were of male children. The main therapeutic groups that were involved included drugs for the nervous system (64.5%) and anti-infectives for systemic use (13.2%). The most commonly reported drugs were varenicline, fluoxetine, lorazepam, escitalopram, venlafaxine, veralipride, pregabalin, roflumilast and bupropion. There were reports of montelukast, hydroxychloroquine, isotretinoin, methylphenidate, infliximab, natalizumab, ribavirin and efavirenz, which were less known to be involved in self-directed violence. This study shows that self-directed violence is a rare adverse drug reaction, and can be related to the use of some medicines. It is important for healthcare professionals to consider this risk in their clinical praxis, implementing person-centred approaches. Further studies are needed, considering comorbidities and potential interactions.
Helping Students with the Most Common Questions in an Introductory Databases Course

The course “Introduction to Databases” focuses on teaching Structured Query Language to non-IT students. As the learners have had no exposure to programming-related courses or programming languages and have various backgrounds, it can cause different problems, and the students might need help while solving homework assignments. The goal of this paper is to give an overview of creating troubleshooters for the introductory database course. A troubleshooter is a set of hints designed to give clues to help the student overcome the most common problematic parts of the task. Interviews with course instructors, forum posts and students' individual homework assignments were analysed for creating six troubleshooters. Statistics from the troubleshooter environment and ratings by learners were collected to assess the quality of the development work. Although the learners did not rate the created troubleshooters highly, they agreed that the use of the troubleshooters should be continued in the following years. The comments of students help to improve the troubleshooters for the next courses.
Enhancing the Performance of SMEs Post Covid-19: The Role of Strategic Agility

Small and Medium Enterprises have been facing difficulty coping with the covid-19 pandemic as very few SMEs have made it through the pandemic in Nigeria context. There is a need to understand the unique challenges of the SMEs sector in Nigeria and what business owners particularly in developed countries are doing to tackle these challenges. Strategic agility is regarded as the key asset for any company. This is even more important in a knowledge-based, unpredictable economy, where the importance of invisible elements and services is increasing. This study examined how well-performing SMEs in Lagos, Nigeria respond to strategic agility. A combination of these methods was employed. Twenty interviews with SME owners were conducted, in addition to the distribution of 400 questionnaires to SME managers. The returned questionnaires were analyzed using multiple regression. Qualitative interviews were also analyzed using thematic analysis. The findings indicate that innovation capabilities and strategic capabilities have a significant positive impact on organizational performance, and developing people have an insignificant negative impact on the performance of SMEs. Hence, the study recommends that focusing on innovative capability of strategic leadership such as new product development, innovation activities, marketing intelligence, value creation and new ideas with radical changes are germane for enhancing performance.