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    3916 research outputs found

    Complementary Feeding Practices and Weaning Practices in Morocco: A Systematic Review and Meta-Analysis

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    Introduction: Complementary feeding represents a crucial phase in an infant's developmental journey. Inadequate implementation, marked by an imbalance in both quantity and quality, can lead to varying degrees of nutritional disorders, whether from excess or deficiency. Study Objectives and Methods: Conducted from December 2023 to February 2024, this research aims to assess the weaning age and the age of initiating dietary diversification among Moroccan infants. Additionally, it seeks to scrutinize specific nutritional practices and behaviors within the Moroccan infant population. Our methodology involved an extensive bibliographic search using databases such as PubMed, Science Direct, Scopus, and Google Scholar, focusing on research conducted in Morocco from 2005 to 2020. Variables examined include the prevalence of breastfeeding at six months, the age of weaning, the commencement of dietary diversification at six months, and the prevalence of advice from healthcare professionals, particularly nursing experts, provided to Moroccan mothers. Results and Discussion: Complementary feeding practices in Morocco navigate the intersection of maternal nutritional beliefs and a plethora of infant feeding concepts, resulting in a complex landscape. The crucial role of medical and nursing personnel in conveying appropriate information and advice to Moroccan mothers is highlighted. Conclusion: Complementary feeding is a pivotal milestone in infant nutrition, necessitating adjustments and updates in Moroccan practices. The active involvement of medical and nursing personnel is essential to ensure optimal weight development and prevent infant nutritional disorders. Impact and Contribution of Patient or Public: Emphasizing the importance of the results in positively influencing infant feeding practices in Morocco, with a focus on the crucial role played by medical and nursing personnel in promoting infant health

    Adaptive Elastic Net on High-Dimensional Sparse Data with Multicollinearity: Application to Lipomatous Tumor Classification

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    Predictive models can experience instabilities because of the combination of high-dimensional sparse data and multicollinearity problems. The adaptive Least Absolute Shrinkage and Selection Operator (adaptive Lasso) and adaptive elastic net were developed using the adaptive weight on penalty term. These adaptive weights are related to the power order of the estimators. Therefore, we concentrate on the power of adaptive weight on these penalty functions. This study purposed to compare the performances of the power of the adaptive Lasso and adaptive elastic net methods under high-dimensional sparse data with multicollinearity. Moreover, we compared the performances of the ridge, Lasso, elastic net, adaptive Lasso, and adaptive elastic net in terms of the mean of the predicted mean squared error (MPMSE) for the simulation study and the classification accuracy for a real-data application. The results of the simulation and the real-data application showed that the square root of the adaptive elastic net performed best on high-dimensional sparse data with multicollinearity

    Evaluation of a Strain Sweep Tests Protocol as a Tool for Assessing the Homogeneity of SBR Copolymer Composition

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    Global competition in products and services demands constant improvement in production systems. Similarly, it is essential for industries to have quality control tools capable of assessing the compliance of a given product at a lower cost and with greater effectiveness. In the rubber and composite industry, where complex formulation and mixing systems can affect not only the quality of the final product but also the processing of rubber, the development of a protocol that assumes this function is important. The present study developed samples of elastomeric blends based on styrene-butadiene copolymer (SBR) with different filler concentrations (30, 60, and 90 phr of ground tire rubber as filler), which were analyzed using an oscillating cavity rheometer (MDpt-TechPro). Based on a proprietary testing protocol, the degree of homogeneity of the composites was evaluated, which was compared with scanning electron microscopy studies. The implemented protocol, which provides results within 30 minutes, proved to be promising for quality control of these blends, and it can be used by rubber processing industries, saving both time and cost, being an unprecedented study on the 'homogeneity-rheology' relationship

    Understanding Sexual Dysfunctions in Individuals with Intellectual Disabilities from A Psychological Perspective

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    Background: This article delves into the complex world of sexual dysfunctions in individuals with intellectual disabilities (ID), a topic that has been relatively underexplored in the realm of psychological research. Intending to shed light on the unique challenges faced by this population, the article meticulously examines the barriers to effective communication, cognitive differences, and the social dynamics that impact both the experiences and treatment outcomes for individuals with ID. Methods: The study utilized a blend of empirical methods, including questionnaires, psychodiagnostic tests, and graphical representations of data, and was conducted among a substantial sample of 1450 individuals with ID in Kyiv, Ukraine. It offers a comprehensive overview of the sexual health landscape within this community. Results: The research findings highlight a notable prevalence of sexual dysfunctions among the ID population, exacerbated by a lack of accessible sexual education, the prevalence of unsafe sexual practices, and a high rate of self-reported sexual abuse. Conclusions: The article emphasizes the importance of a nuanced understanding and approach to sexual health care and education for individuals with ID. It calls for policies, practices, and further research that honor the dignity, autonomy, and sexual rights of individuals with ID, aiming to bridge the current gaps in care and understanding. By doing so, it contributes significantly to the discourse on sexual health in the ID population, offering valuable insights and directions for future work in this vital area of study

    Judges and Social Networks

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    It is essential that the judicial function be public, discreet, and professional. Its legitimacy as a public authority is acquired through the recognition of judgments, in which there is an identification between decisions and society. But what type of communication must be made by the judiciary, and especially by judges, to provide information about their activities, and ensure that their interaction strengthens the republic, generating proximity between the sovereign and the public power

    The Effect of Regulation and Organizational Commitment on the Successful Handling of Covid-19 with Job Satisfaction Mediation

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    This study was intended to determine the effect of DPJP Job Satisfaction Mediating the Effect of Regulation and Work Commitment on the Successful Handling of Covid-19. The smart PLS 3.0 application is used to help analyze this research. All the p-values of the direct relationship variables were below 0.05, except for DPJP's job satisfaction on the successful handling of COVID-19, the p-value was above 0.05. Meanwhile, all p-values of indirect relationships are above 0.05. Government regulation and organizational commitment directly influence the success of handling covid-19, except that DPJP job satisfaction does not directly influence the success of handling covid-19. Meanwhile, the relationship between government regulation and organizational commitment to the successful handling of COVID-19 mediated by DPJP job satisfaction did not have a significant effect

    Pharmaceutical Analytics: Methods of Analysis of Medicinal Products and their Quality Control

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    The importance of evaluating the quality of medicinal products is determined by their impact on public health, therefore there are many analytical methods for controlling the chemical composition and bioequivalence of medicines. Falsification of medicines and determining the composition of generics also remain a serious problem, therefore the search and systematization of modern methods of identifying the quality of medicines and methods of combating illegal medicines are relevant and timely. The purpose of the study is to determine effective methods of assessing the quality of medicines and methods of combating falsified medicines, which would meet the country’s demands in conditions of war and economic crisis. The research used methods of analysis, synthesis, systematization, statistical comparison of groups using Student’s t-test, survey and generalization of results. The obtained results revealed alternative methods of quality control of medicinal products in the conditions of economic and war crisis. We identified the prospect of introducing drug marking and assisting pharmaceutical manufacturers and distributors in drug marking. A low level of awareness of the population regarding the methods of assessing the quality of medicinal products and the algorithm of actions in case of detection of low-quality medicinal products was revealed. Among the doctors, there was also an insufficient level of knowledge regarding the assessment of the quality of medicines, which requires the introduction of training of doctors in this field and educational work among the population

    Statistical Analysis of Microarray Data to Identify Key Gene Expression Patterns in Primary Hyperoxaluria

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    This study aims to utilize microarray data deposited by Romero et al. and conduct bioinformatic analysis for identifying differentially expressed genes (DEGs) associated with a novel method involving gene correction at the Alanine–Glyoxylate Aminotransferase (AGXT) locus and direct conversion of fibroblasts from primary hyperoxaluria type 1 (PH1) patients into healthy induced hepatocytes (iHeps) using Clustered Regularly Interspaced Short Palindromic Repeats - CRISPR-associated protein 9 (CRISPR-Cas9) technology. Additionally, the study aims to elucidate the molecular mechanisms underlying hyperoxaluria compared to oxalate crystal formation. Romero et al.'s GSE226019 microarray data was retrieved from Gene Expression Omnibus. Statistical analysis was done in R and Bioconductor, utilizing rigorous methods to ensure robust and reproducible results. The limma program compared gene expression levels across groups. Pathway analysis, protein-protein interaction (PPI) network creation, and miRNA-target interaction network analysis were constructed. The top ten DEGs included ANGPTL3, SLC38A3, KNG1, BDH1, GC, ADH1C, ARG1, CYP3A4, AMBP, and CYP2C9. Enrichment analysis revealed significant associations with various biological pathways, including Linoleic acid metabolism and Retinol metabolism. Volcano plots and mean difference plots highlighted significant gene expression changes between different sample groups. Protein-protein interaction networks and miRNA-target interaction networks provided insights into molecular interactions and regulatory mechanisms. The top ten differentially expressed genes include ANGPTL3, SLC38A3, KNG1, BDH1, GC, ADH1C, ARG1, CYP3A4, AMBP, and CYP2C9—emerge as key players with strong associations to critical biological pathways like Linoleic acid metabolism and drug metabolism-cytochrome P450. Understanding the regulatory role of specific miRNAs (hsa-miR-4501, hsa-miR-5692c, hsa-miR-6731-3p, hsa-miR-6867-5p, hsa-miR-616-3p, hsa-miR-4468, hsa-miR-3692-3p, hsa-miR-4277, hsa-miR-4763-5p, hsa-miR-4797-5p) in gene expression could provide further insights into disease mechanisms and potential therapeutic avenues. The statistical findings provide a foundation for predictive modeling, hypothesis testing, and exploring personalized therapeutic strategies

    Obtaining Properties of Polymeric Filaments for 3D Printing from Dinizia Excelsa Ducke Fiber and Copper Nanoparticles

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    With many existing contagious diseases, SARS-CoV-2 exemplifies the dangers of emerging infectious diseases, potentially leading to severe acute respiratory syndrome (SARS). In March 2020, the World Health Organization (WHO) declared COVID-19 a pandemic in response to the rapid increase in infections globally. This situation not only highlighted the vulnerability of populations to dangerous pathogens but also underscored the persistent challenges faced by the public health community in preventing and controlling contagious diseases. Furthermore, it led to excessive use of plastics that harm the environment, such as 70% alcohol due to its low cost and ease of use, which increased the use of plastic packaging and its improper disposal. There are studies on bioplastics reinforced with plant fibers, showing good mechanical properties, and using polymer nanocomposites with metal oxide nanoparticles, such as copper, where their incorporation can achieve optical, electronic, mechanical, and antimicrobial enhancements through the filament extrusion process. Therefore, the matrix is not only a support for the nanoparticles but can also improve antibacterial performance and expand the applications of this material to meet different requirements. The objective of this study is to produce, through extrusion, antimicrobial bioplastic filaments (PLA, plant fiber, and copper nanoparticles) for use in 3D printing and evaluate their tensile mechanical properties, Optical Morphology (OM), and Scanning Electron Morphology (SEM). The filaments produced with a plant fiber particle size of 140 µm exhibited superior quality and better mechanical performance, with tensile strengths of 33.63 and 23.83 MPa and elastic moduli of 2.69 and 5.45 GPa compared to those with a particle size of 30 µm

    The Relationship between Vocabulary Development and Motor Functions in Children With Cerebral Palsy

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    Objectives: This study aimed to evaluate the relationship between vocabulary development and motor functions in children with Cerebral Palsy (CP). Methods: This study used questionnaires and survey methods. Sixty children with CP with different types and extremity distributions were included in the study. Data were analyzed using the SPSS 18.0 package program for frequency and percentage values related to demographic characteristics. The Spearman Correlation test was performed to determine the relationship between motor function levels and receptive language vocabulary development levels of children with CP. Results: Although there was no statistical significance between the receptive language vocabulary development level and motor function levels of children with CP, nine children with CP were at level 5, and sixteen were at level 4 on the GMFCS. According to MACS, ten children were at level 4, and nine were at level 3. Conclusion: In the evaluation of children with CP, gross motor development levels, manual skills, fine motor development monitoring, and language development levels can improve functional outcomes and participation in therapy programs

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