Producción Científica

 

 

Objectives: Modified Dental Anxiety Scale (MDAS) is a frequently used psychometric tool to evaluate the dental anxiety level of dental patients or the general population. However, it was largely unclear if MDAS was consistently administered in the original format in the academic literature. This work aimed to survey the literature published in the last 10 years to reveal the current usage of MDAS. Methods: Web of Science and Scopus were queried to identify papers that mentioned the use of MDAS. Results: Among a total of 260 analyzed papers, 101 papers included comprehensive information regarding both the questions posed and the response format employed. Two papers only used an explicitly renamed MDAS with modified contents. Among the 258 papers that used MDAS that were supposed to be standardized, many discrepancies from the original version were discovered. There were only 39 papers that strictly followed the recommended scoring scheme: if a participant had a score of ≥ 19, he or she might be highly dentally anxious. Notable modifications included the use of a cut-off score different from the original recommendation, the use of multiple cut-off scores, modifications of the response format or descriptors, and modifications to the question items especially adding extra questions. Conclusions: These modifications would create confusion when researchers and clinicians tried to compare data across studies. Researchers are recommended to administer MDAS in its original format.

 

 

Background: Researchers gradually focus on the relationship between phage and cancer. Objective: To summarize the research hotspots and trends in the field of bacteriophage and cancer. Methods: The downloaded articles were searched from the Web of Science Core Collection database from January 2008 to June 2023. Bibliometric analysis was carried out through CiteSpace, including the analysis of cooperative networks (country/region, institution, and author), co-citations of references, and key words.Visual analysis of three topics, including gut phage, phage and bacteria, and phage and tumor, was conducted. Results: Overall, the United States and China have the most phage-related research. In terms of gut phage, the future research directions are “gut microbiome”, “database” and “microbiota”. The bursting citations explored the phage-dominated viral genome to discover its diversity and individual specificity and investigated associations among bacteriome, metabolome, and virome. In terms of phage and bacteria, “lipopolysaccharide” and “microbiota” are future research directions. Future research hotspots should mainly concentrate on the further exploration and application of phage properties. As for phages and tumors, the future research directions should be “colorectal cancer”, “protein” and “phage therapy”. Future directions are likely to focus on the research on phages in cancer mechanisms, cancer diagnosis, and cancer treatment combined with genetic engineering techniques. Conclusion: Phage therapy would become a hot spot and research direction of tumor and phage research, and the relationship between phage and tumor, especially colorectal cancer (CRC), is expected to be further explored.

 

 

This study aims to provide a comprehensive overview of scholarly work and discussion on board diversity and ESG reporting, leading to the identification of prominent themes and potential future research. Based on 144 articles from the Web of Science (WoS) database, the study adopts numerical and visualization techniques using the Vosviewer and Biblioshiny R-package to examine the extant literature from 2011 to 2023. The outcomes of the scientific bibliographic coupling identified three dominant themes: Theme 1, ‘Board Gender Diversity and Sustainability Reporting’; Theme 2, ‘Importance of Governance Structures in shaping reporting practices’ and Theme 3, ‘Factors Shaping Integrated Reporting’. The review concludes that board diversity supports environmental, social, and governance reporting and proves integral to sustainable corporate practices and context-specific strategies. Policymakers should design inclusive governance frameworks by recognizing the role of board diversity in enhancing ESG reporting quality, leading to regulatory reforms that encourage greater gender diversity and transparency in sustainability practices. As for businesses, having diverse boards enhances decision-making and innovation, improving ESG reporting quality and fostering better sustainability outcomes. Finally, for academia, the research provides a foundation for future studies on the intersection of board diversity and ESG reporting, particularly in exploring cultural and regional variations, as well as the role of technology in improving disclosure quality. Thus, this study is expected to have far-reaching implications for policymaking, business strategies, societal decisions, and academic research, which could eventually contribute to quality sustainability reporting and business sustainability.

 

 

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as non-alcoholic fatty liver disease (NAFLD), is a prevalent hepatic condition linked to metabolic alterations. It gradually causes liver damage and potentially progresses to cirrhosis. Despite its significance, research, especially in the pediatric population, is limited, leading to contradictory findings in diagnosis and treatment. This meta-analysis aims to synthesize existing literature on therapeutic interventions for MASLD in children and adolescents. Methods: A comprehensive search of randomized controlled clinical trials yielded 634 entries from PubMed, Scopus, and Web of Science up to 2023. Interventions included medications, behavioral modifications, dietary changes, probiotics, supplements, surgical procedures, or combinations. The analysis focused on studies with treatment duration of at least 3 months, employing a random-effects REML meta-analysis model. Treatment effects on anthropometric measurements and biochemical components were examined and adjusted for heterogeneity factors analysis. A bibliometric analysis for insights into research contributors was performed. Results: The systematic review incorporated 31 clinical trials, with 24 meeting criteria for meta-analysis. These comprised 3 medication studies, 20 with supplements, 4 focusing on lifestyle, and 4 centered on diets. Significant overall treatment effects were observed for ALT, AST, BMI, and HOMA-IR mainly by supplements and lifestyle. Meta-regression identified age, BMI changes, and treatment duration as factors modifying ALT concentrations. Bibliometric analysis involving 31 linked studies highlighted contributions from 13 countries, with the USA, Spain, and Chile being the most influential. Conclusions: We conclude that supplementation and lifestyle changes can effectively impact ALT and AST levels, which can help address liver issues in obese children. However, the evaluation of risk bias, the high heterogeneity, and the bibliometric analysis emphasize the need for more high-quality studies and broader inclusion of diverse child populations to provide better therapeutic recommendations. Trial registration: PROSPERO, CRD42023393952. Registered on January 25, 2023.

 

 

Introduction: Mutual health insurance constitutes a micro-insurance system which facilitates access to care by avoiding direct payment. They represent one of the pillars of our Universal Health Coverage. After years of existence and despite political commitment, community support for mutual health insurance remains low until now. The objective of our work was to study the factors linked to the membership of mutual health insurance companies in the Thiès region and to propose solutions. Methodology: The study was cross-sectional, descriptive and analytical. It was carried out among a sample of 1,300 people, residing in the Thiès region for at least 6 months, chosen following a three-stage cluster survey. A questionnaire was used to collect data related to predisposing, facilitating and health system factors. These data were entered and analyzed using SPSS version 21 software. The significance value was P < 0.05. The Odds ratio was used to measure the strength of the link. Results: The average age is 42 years and among the people surveyed 75.3% lived in an urban area, 84.5% claimed to know mutual insurance companies. The number of dependent children among the people surveyed was 9 and 90% had an income-generating activity, married people were 82.9% and 78.2% were educated. The mutual penetration rate was 69.3%. The analysis showed that membership in mutual health insurance was significantly influenced by the area of residence with P < 0.001 [OR: 2.0; CI:1.4-2.8], by age group with P < 0.001[OR:1.4; CI:1.1-2.0], by income-generating activity with P < 0.001 [OR:2.1; CI:1.1-4.1], by knowledge of a mutual with P < 0.001 [OR:81.6; CI: 42.2-157] and education with P < 0.001 [OR: 1.9; CI: 1.3-2.6]. Membership was also associated with marital status and the number of children in care with P < 0.001 and P < 0.002 respectively. Conclusion: This study made it possible to evaluate the penetration rate of mutual health insurance in the Thiès region in 2023, but also to identify the factors associated with membership in a mutual health insurance. Strengthening communication and targeted awareness and improving the level of knowledge of the populations will help to boost the level of support of the populations of the Thiès region.

 

 

The goal of this study is to identify the plants used to treat sexual dysfunction in Haut-Katanga (DRC). Since most couples in sexual distress believe that resolving sexual dysfunction (SD) is the key to happiness, an ethnobotanical survey using a questionnaire guide was conducted among 36 traditional practitioners in four sites in Haut-Katanga province, including Lubumbashi, the provincial capital. The survey identified 52 species of aphrodisiac plants that are used to treat SD. Of these, 51 have been scientifically identified; they belong to 45 different genera and are contained in 28 families, with the Fabaceae having the highest representation (15.7%). These species are employed singly or in combination to prepare eighty recipes; the most common plant organ was the root bark (63%) in these recipes. Aqueous decoction (44%) and oral administration (75.3%) are the most commonly used routes of drug preparation and administration. Nearly 80 additional indications for the same plant species were discovered to be employed, such as sexually transmitted infections (7.17%), diabetes (3.69%), and hemorrhoids (4.07%). For every species, the Informant Consensus Factor (ICF) was determined. The plants with higher values (ICF≥0.17) included Bersama abyssinica Fres, Garcinia huillensis Welw, Cassia petersiana Bolle, Chenopodium album L, Clerodendrum capitatum (Willd) Schumach, Dialiopsis africana Radlk., Albizia adianthifolia (Schum.) W. Wight, and Crossopteryx febrifuga Mull.

 

 

Speech is essential to human communication for expressing and understanding feelings. Emotional speech processing has challenges with expert data sampling, dataset organization, and computational complexity in large-scale analysis. This study aims to reduce data redundancy and high dimensionality by introducing a new speech emotion recognition system. The system employs Diffusion Map to reduce dimensionality and includes Decision Trees and K-Nearest Neighbors(KNN)ensemble classifiers. These strategies are suggested to increase voice emotion recognition accuracy. Speech emotion recognition is gaining popularity in affective computing for usage in medical, industry, and academics. This project aims to provide an efficient and robust real-time emotion identification framework. In order to identify emotions using supervised machine learning models, this work makes use of paralinguistic factors such as intensity, pitch, and MFCC. In order to classify data, experimental analysis integrates prosodic and spectral information utilizing methods like Random Forest, Multilayer Perceptron, SVM, KNN, and Gaussian Naïve Bayes. Fast training times make these machine learning models excellent for real-time applications. SVM and MLP have the highest accuracy at 70.86% and 79.52%, respectively. Comparisons to benchmarks show significant improvements over earlier models.

 

 

Background: Chronic kidney disease (CKD) is a progressive disease that affects more than 800 million people worldwide, representing more than 10% of the global population. It is more common in older people, women, and racial minorities, as well as in people with diabetes mellitus and high blood pressure. CKD has become one of the top causes of mortality worldwide, and is one of the few non-communicable diseases that have seen an increase in related deaths over the last few decades. The high number of affected people and the serious negative consequences of chronic disease should lead to increased efforts to improve prevention and treatment efforts. Around the world, there are an estimated 1,800-1,600 extra deaths per 10000 patients who are on dialysis. Aim: The aim of the study is to determine the psychological distress and self-esteem among dialysis patients. Research Methodology: A quantitative cross-sectional investigate plan was utilized to conduct a research study among 30 dialysis patients. Convenient sampling techniques were utilized to collect data from standardized tool using questionnaire techniques. Result: Study showed that 36.7% of the samples were doing well, 23.3% had mild psychological distress, 23.3% of the samples had moderate psychological distress and severe distress is seen in 16.7% of the samples. 73.3% of them had normal self-esteem, 20% of the study population had low self-esteem and 6.7% had above average self-esteem. Significant relationship is seen between social and family support with self-esteem (p=0.033). Conclusion: About half of the samples were having psychological distress which is of mild and moderate, severe psychological distress were seen in 16.7% of the samples, ordinal self-esteem were seen in 73% of the samples, 27% of samples had mild and average self- esteem.

 

 

This research focused on identifying various types of faults occurring on 330kV transmission lines through the use of artificial neural networks (ANN). A MATLAB model for the Gwagwalada-Katampe 330kV transmission line in Nigeria was implemented to generate fault datasets. Voltage and current fault parameters were utilized to train and simulate the ANN network architecture selected for each stage of fault detection. Four types of faults were considered, along with a fifth condition representing no fault. The results illustrated the success of the developed model in identifying various fault conditions and system parameters on the Gwagwalada-Katampe 330kV transmission line, modelled using MATLAB Simulink.

 

 

Purpose: This study aims to analyze and compare selected physical fitness, physiological, and psychological variables among boys from government, government- aided, and private schools in the Chennai district. The purpose is to understand how different school environments impact these variables and to provide insights that can inform policy and practice in physical education and health promotion. Methodology: A sample of 300 boys aged 12-15 years was selected through stratified random sampling, with 100 boys from each school type (government, government-aided, and private schools). Physical fitness was measured using the Fitness Gram test battery, physiological variables such as BMI, resting heart rate, and blood pressure were assessed using standard clinical procedures, and psychological variables were evaluated using the Rosenberg Self- Esteem Scale and the Perceived Stress Scale. Data were analyzed using ANOVA to compare the means across the three school types, with post-hoc tests conducted to identify specific group differences. Conclusion: The study found significant differences in physical fitness, physiological health, and psychological well-being among boys from different types of schools. Boys from private schools exhibited better physical fitness and lower stress levels compared to their peers in government and government-aided schools. These findings highlight the influence of socio-economic factors and access to resources on students’ health and suggest the need for targeted interventions in government and government- aided schools to improve physical and psychological well- being among students.