Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review: Methodologies to Promote the Differentiation of Mesenchymal Stem Cells for the Regeneration of Intervertebral Disc Cells Following Intervertebral Disc Degeneration

Intervertebral disc (IVD) degeneration (IDD), a highly prevalent pathological condition worldwide, is widely associated with back pain. Treatments available compensate for the impaired function of the degenerated IVD but typically have incomplete resolutions because of their adverse complications. Therefore, fundamental regenerative treatments need exploration. Mesenchymal stem cell (MSC) therapy has been recognized as a mainstream research objective by the World Health Organization and was consequently studied by various research groups. Implanted MSCs exert anti-inflammatory, anti-apoptotic, and anti-pyroptotic effects and promote extracellular component production, as well as differentiation into IVD cells themselves. Hence, the ultimate goal of MSC therapy is to recover IVD cells and consequently regenerate the extracellular matrix of degenerated IVDs. Notably, in addition to MSC implantation, healthy nucleus pulposus (NP) cells (NPCs) have been implanted to regenerate NP, which is currently undergoing clinical trials. NPC-derived exosomes have been investigated for their ability to differentiate MSCs from NPC-like phenotypes. A stable and economical source of IVD cells may include allogeneic MSCs from the cell bank for differentiation into IVD cells. Therefore, multiple alternative therapeutic options should be considered if a refined protocol for the differentiation of MSCs into IVD cells is established. In this study, we comprehensively reviewed the molecules, scaffolds, and environmental factors that facilitate the differentiation of MSCs into IVD cells for regenerative therapies for IDD.
Investigation of Primary School Teachers' Professional Competencies and Technological Pedagogical Content Knowledge (TPACK) Competencies

This study aims to examine primary school teachers' Technological Pedagogical Content Knowledge (TPACK) levels and teaching self-efficacy according to their general demographic characteristics. Descriptive and correlational research methods were used in the study. The quantitative sample of the study consists of 217 teachers working in primary schools in Astana province in the 2022-2023 academic year. Personal information form, TPACK and Teaching Self-Efficacy scales were used as data collection tools. Information about the demographic variables of the participants was given with descriptive statistics including frequency and percentage. Independent sample T-Test, one-way ANOVA test, Tukey test, and Pearson correlation test were used for data analysis. As a result of the quantitative analyses, TPACK competencies of the teachers were found to be at a medium level, whereas their self-efficacy beliefs were found to be at a high level. Significant differences were observed in gender and professional seniority variables in terms of TPACK competencies. Especially the technology knowledge competencies of female teachers were found to be at low level. Again, the technology knowledge of teachers with high professional seniority was found to be significantly low. Finally, significant and positive relationships were found between self-efficacy beliefs and TPACK competencies of primary school teachers.
The Mediating Role of Sibling Relationships in the Relationship Between Parental Achievement Support and Pressure and Psychological Resilience

A healthy family climate, including parents' attitudes towards their children and the quality of sibling relationships, is essential for child resilience. One of the domains where parental attitudes are determinative is the children's academic life. In an unhealthy family climate, for instance, parental pressure for academic success may cause dysfunctional sibling relationships and low-level psychological resilience in children. The aim is to investigate the mediating role of sibling relationships in the association between parental academic achievement pressure and support and children's resilience levels. Five hundred and one children (10–14 years old) participated in the study. Children completed the Parent Academic Achievement Pressure and Support Scale (PAAPSS), Sibling Relationship Questionnaire (SRQ), Child and Youth Resilience Measure (CYRM-12), and Demographic Information Form. Findings from the two different mediation models of Hayes Process Macro revealed that sibling relationship characteristics of warmth, intimacy, and status, or power, mediated the relationship between parental academic support and resilience levels. Rivalry and conflict were not significant mediators. All parental (i.e., support) and sibling relationship variables explained the 41% variance in child resilience (Model 1). Sibling relationship characteristics of warmth or intimacy, status or power, rivalry, and conflict mediated the relationship between parental academic pressure and resilience. All parental (i.e., pressure) and sibling relationship variables explained the 35% variance in child resilience (Model 2). To improve children's resilience, we propose healthier parental attitudes toward academic issues and more functional sibling relationships.
Hidden Markov model‐based asynchronous exponential stabilization for stochastic Markovian jump systems with incomplete controller mode information

In this paper, the exponential stability of a kind of It o^$$ \hat{\mathrm{o}} $$ Markovian jump system is studied. Specifically, the exponential stability is ensured by designing an asynchronous delayed‐feedback controller, whose modes are inconsistent with those of the original system. We have built the necessary new relationship between controller modes and system modes, which can facilitate the stability analysis and also make the famous existing ones special cases of the proposed one. Moreover, practically ubiquitous controller delays, which occur between the sensors and controllers, to the detriment of the system stability, are taken into account, and their maximum values are provided in a theoretic way. In this way, the exponential stability can be well ensured against controller delays. With an eye to practical applications, the transition rates of the considered system and the designed asynchronous controller are assumed to be uncertain, and they can be well dealt with by using a new approach with lower conservatism. Furthermore, a practical example and some comparative examples are given to demonstrate the effectiveness and superiorities of the obtained conclusion.
Porcine Respiratory Coronavirus (PRCV): Isolation and Characterization of a Variant PRCV from USA Pigs

Porcine respiratory coronavirus (PRCV), a mutant of the transmissible gastroenteritis virus (TGEV), was first reported in Belgium in 1984. PRCV typically replicates and induces mild lesions in the respiratory tract, distinct from the enteric tropism of TGEV. In the past 30 years, PRCV has rarely been studied, and most cited information is on traditional isolates obtained during the 1980s and 1990s. Little is known about the genetic makeup and pathogenicity of recent PRCV isolates. The objective of this study was to obtain a contemporary PRCV isolate from US pigs for genetic characterization. In total, 1245 lung homogenate samples from pigs in various US states were tested via real-time PCR targeting PRCV and TGEV RNA. Overall, PRCV RNA was detected in five samples, and a single isolate (ISU20-92330) was successfully cultured and sequenced for its full-length genome. The isolate clustered with a new group of variant TGEVs and differed in various genomic regions compared to traditional PRCV isolates. Pathogens, such as PRCV, commonly circulate in pig herds without causing major disease. There may be value in tracking genomic changes and regularly updating the diagnostic methods for such viruses to be better prepared for the emergence of variants in ecology and pathogenicity.
Perceptions of Human Resource Management Practices: Study of Culinary Industry of SMES in Indonesia

Purpose: The purpose of this article is to examine the perception of human resource management practices in Culinary industry of SMEs in Indonesia. Theoretical framework: The conceptual model for this study was developed based on previous research in the field of human resource management globally. The conceptual model has four factors that affect human resource management practices in Culinary industry of SMEs in Indonesia. Design/methodology/approach: A quantitative method in the form of a structured questionnaire was designed based on a review of pertinent literature. This study collected empirical data from 126 employees of culinary industry of SMEs in Balikpapan City of Indonesia. Analysis method by path analysis is using PLS-SEM to test the significance of the research model. Findings: The result of research showed that that HRM practices (employee training & development, performance evaluation and compensations) are positively influence on perception of HRM practices itself, but recruitment & selection is not influence. Research, Practical & Social implications: The implications drawn from this research help owners or managers of human resources in existing SMEs to focus their resources by considering Recruitment and Selection, training and development, performance evaluation, and compensations variables that can affect human resource management practices in their organizations to succeed. Originality/value: This study is important for owner of SMEs because it confirms business owners' need or desire to increase human capital in order to boost SMEs performance and offer the SMEs a competitive advantage in the marketplace.
Association between Salivary Cortisol Levels, Dental Anxiety, and Dental Caries in Children: A Cross-Sectional Study

Aim: This study aimed to investigate the relationship between dental caries, dental anxiety, and salivary cortisol levels in children visiting pediatric dental clinics and their implications on pediatric oral health. Materials and Methods: A cross-sectional study was conducted at a dental university in the UAE. A total of 60 children, aged 4–12 years, were included. Salivary cortisol levels were measured using an Enzyme-Linked Immunosorbent Assay (ELISA) kit. Dental caries status was evaluated, and dental anxiety levels were assessed using the Modified Dental Anxiety Scale (MDAS). Statistical analyses, including Mann-Whitney U test and Pearson’s correlation coefficient, were performed to determine significant differences and associations. Results: The study group showed significantly higher salivary cortisol levels compared to the control group (p < 0.0001). A strong positive correlation was found between salivary cortisol levels and dental caries status (p < 0.001). However, no significant difference in dental anxiety levels was observed between the study and control groups (p = 0.85). A strong positive correlation was found between dental anxiety levels and dental caries status (p < 0.001). Conclusion: The findings indicate a significant association between salivary cortisol levels and dental caries, suggesting that higher cortisol levels are associated with active caries. Dental anxiety levels were positively correlated with dental caries. Understanding the relationship between these variables can contribute to better oral health strategies and interventions for children, emphasizing the importance of managing dental anxiety and stress in pediatric dental care. Clinical Significance: This study highlights the potential of salivary cortisol as a biomarker for assessing stress and its impact on oral health in children. By addressing dental anxiety and stress, dental professionals can provide child-friendly dental care, enhance preventive measures, and improve oral health outcomes in pediatric patients.
Designing Optimal Compact Oblivious Routing for Datacenter Networks in Polynomial Time

Recent datacenter network topologies are shifting towards heterogeneous and structured topologies for high throughput, low cost, and simple manageability. However, they rely on sub-optimal routing approaches that fail to achieve their designed capacity. This paper proposes a process for designing optimal oblivious routing that is programmed compactly on programmable switches. The process consists of three contributions in tandem. We first transform a robust optimization problem for designing oblivious routing into a linear program, which is solvable in polynomial time but cannot scale for datacenter topologies. We then prove that the repeated structures in a datacenter topology lead to a structured optimal solution. We use this insight to formulate a scalable linear program, so an optimal oblivious routing solution is obtained in polynomial time for large-scale topologies. For real-world deployment, the optimal solution is converted into forwarding rules for programmable switches with stringent memory. With this constraint, we utilize the repeated structures in the optimal solution to group the forwarding rules, resulting in compact forwarding rules with a much smaller memory requirement. Extensive evaluations show our process i) obtains optimal solutions faster and more scalable than a state-of-the-art technique and ii) reduces the memory requirement by no less than 90% for most considered topologies.
Performance of methods for meta-analysis of diagnostic test accuracy with few studies or sparse data

Hierarchical models such as the bivariate and hierarchical summary receiver operating characteristic (HSROC) models are recommended for meta-analysis of test accuracy studies. These models are challenging to fit when there are few studies and/or sparse data (for example zero cells in contingency tables due to studies reporting 100% sensitivity or specificity); the models may not converge, or give unreliable parameter estimates. Using simulation, we investigated the performance of seven hierarchical models incorporating increasing simplifications in scenarios designed to replicate realistic situations for meta-analysis of test accuracy studies. Performance of the models was assessed in terms of estimability (percentage of meta-analyses that successfully converged and percentage where the between study correlation was estimable), bias, mean square error and coverage of the 95% confidence intervals. Our results indicate that simpler hierarchical models are valid in situations with few studies or sparse data. For synthesis of sensitivity and specificity, univariate random effects logistic regression models are appropriate when a bivariate model cannot be fitted. Alternatively, an HSROC model that assumes a symmetric SROC curve (by excluding the shape parameter) can be used if the HSROC model is the chosen meta-analytic approach. In the absence of heterogeneity, fixed effect equivalent of the models can be applied.
Third Harmonic Reduction of Band Pass Filter with notch of PWMS Frequency Band using unit cell metamaterial

A Filter block has been highly attention due to it’s highly importance in wireless communication systems. High harmonic level normally companies with the performance of filter block. The use of both low-pass or band-stop filter and the step-impedance lines methods to reduce the spurious characteristics of the filter are not a practical solutions since that adds more complexity and large in size. On the other hand, a narrowband signal such as professional wireless microphone system (PWMS) may regard disturb band within communication band of the band pass filter (BPF) frequency. In this paper a complementary split ring resonator designed on the ground plane has been proposed and considered as more practical method to solve two important filter problems in terms of third order harmonic characteristic suppression (3fo) and the notched frequency band of PWMS.
The Global Demography Project

Demographic information is usually provided on a national basis. But we know that countries are ephemeral phenomena. As an alternate scheme one might use ecological zones rather than nation states. But there is no agreement as to what these zones should be. By way of contrast global environmental studies using satellites as collection devices yield results indexed by latitude and longitude. Thus it makes sense to assemble the terrestrial arrangement of people in a compatible manner. This alternative is explored here, using latitude/longitude quadrilaterals as bins for population information. This data format also has considerable advantage for analytical studies. The report is in three parts. Part I gives the motivation and several possible approaches. Ways of achieving the objective include, among others, simple centroid sorts, interpolation, or gridding of polygons. In Part 11 the results to date of putting world boundary coordinates together with estimates of the number of people is described. The estimated 1994 population of two hundred seventeen countries, subdivided into nineteen thousand thirty two polygons, have been assigned to five minute by five minute quadrilaterals covering the world. The grid extends from latitude fifty seven degrees south to seventy two degrees north latitude, and covers three hundred and sixty degrees of longitude. Just under thirty one percent of the (1548 by 4320) grid cells are populated. The number of people in these countries is estimated to be five billion six hundred eighteen million, spread over one hundred thirty two million square kilometers of land. Part III describes needed extensions, and the appendices contain detailed information on our results with maps and data sources. Part I Global Demography Part II World Population at Medium Resolution Part III The Next Step
Workplace Social Support as a Mediating Factor in the Association between Occupational Stressors and Job Burnout: A Study in the Taiwanese Nursing Context

Aims and Objectives. The purpose of this study was to investigate the prevalence of job burnout among Taiwanese nurses, specifically exploring the mediating role of workplace social support in the association between nurses’ stressors and this burnout. Background. Nurses confront high-stress, high-stakes work environments due to evolving disease patterns and growing healthcare needs. The nurse-patient ratio in Taiwan is higher than in other countries, necessitating effective strategies to mitigate nurse burnout and enhance the quality of patient care. Design. A cross-sectional study design was employed. Methods. From January to April 2019, 500 nurses were recruited from a medical center in Kaohsiung City, southern Taiwan. Participants completed a questionnaire addressing workplace social support, stressors faced by nurses, and job burnout. Data were analyzed using descriptive statistics, one-way analysis of variance, t-test evaluations, Pearson’s correlation analyses, and a structural equation model with maximum likelihood estimation. Results. The findings revealed that a portion of nurses experienced high rates of personal burnout (7.20%), work-related burnout (5.00%), and client-related burnout (4.80%). The relationships among workplace social support, nurses’ stressors, and job burnout were all substantial, exhibiting correlation coefficients ranging from −0.318 to 0.828. The direct effect of nurse stress on job burnout was 0.551, comprising 90.7% of the cumulative effect. In contrast, the indirect effect of nurse stress on job burnout, considering workplace social support, amounted to 9.3% of the total effect, with a value of 0.056. Conclusions. The study underscored the importance of addressing job burnout among nurses in Taiwan. Workplace social support may function as a mediating factor in the relationship between nurses’ stressors and job burnout. Implications for Nursing Management. The results suggest that healthcare administrators should prioritize workplace social support initiatives. These efforts could help identify and address nurses’ stressors, promote work-life balance, and reduce nurse-patient ratios and work overload.
The Influence of Product Quality and Brand Image on Customer Loyality with Customer Satisfaction as Intervening Variable

This research analyzed the influence of product quality and brand image on customer loyalty with customer satisfaction at Janji Jiwa coffee shop in Blitar city. This type of research uses explanatory research, survey method and quantitive. Data were collected using questionnaires from 160 Janji Jiwa coffee shop consumers in Blitar city. The collected data was then tested using the Structural Equation Model (SEM) method in the Smart PLS 3 program application. This research found that product quality, brand image, and customer satisfaction positively and significantly affect customer loyalty. At the same time, product quality and brand image positively and significantly affect customer satisfaction. Customer satisfaction as an intervening variable can mediate the influence of product quality and brand image on customer loyalty positively and significantly.
THE EFFECT OF TILLAGE SYSTEMS AND CATCH CROPS ON THE YIELD, GRAIN QUALITY AND HEALTH OF SPRING WHEAT

The aim of the research was comparison of the effect of plough tillage and conservation tillage with the use of various catch crops on the yield and grain quality of spring wheat sown in monoculture on rendzina soil. The experiment was set up on rendzina soil with split-plot design in four replications and included plough tillage (A) and conservation tillage, conducted with two methods: with autumn disking of catch crops (B) and with their spring disking (C). At the same time, four methods of regenerating plot in monoculture of spring wheat were conducted in a form of undersown red clover and Dutch ryegrass, as well as catch crops of lacy phacelia and white mustard. The control were plots without catch crops. Plough tillage was favorable for obtaining higher ear density and grain number per ear, which consequently affected increase in the yield of spring wheat grain, compared with conservation tillage. Decrease in the yield of spring wheat grain on plots with conservation tillage, to the highest degree resulted from a decreased ear density. Ear number and grain yield obtained from the plots where stubble catch crops were sown as well as red clover, were significantly higher than on plots after undersown Dutch ryegrass and on the control plots. Better yield of spring wheat on a plot after stubble catch crops and undersown red clover, to a high degree resulted from an increased ear number per unit of area. Tillage systems as well as catch crops did not change significantly 1000 grain weight of spring wheat. Degree of infestation of the spring wheat culm and root with a complex of fungal diseases was not altered by the evaluated tillage systems. Disease index determined for spring wheat on plots after undersown red clover and stubble catch crops as lacy phacelia and white mustard was significantly lower than after undersown Dutch ryegrass and in control without catch crops. The content of total protein and gluten in spring wheat grain as well as sedimentation coefficient did not change under the effect of the applied tillage systems. Application of Dutch ryegrass as a catch crop deteriorated the quality of spring wheat grain.