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Introduction and aims: Early clinical exposure (ECE) integrates students into clinical settings during theoretical learning, aiming to foster professional development. This systematic review aims to comprehensively evalu...

ABSTRACT Background and Aims Prelabor rupture of membranes is a significant obstetric complication with serious maternal and neonatal consequences. Hypertensive disorders of pregnancy are among the leading contributors t...

Abstract This meta-analysis reveals a significant association between Body Mass Index (BMI) and the risk of osteoporosis. Being underweight may increase the risk of osteoporosis, while being overweight or obese may reduc...

BackgroundDelirium and poor clinical prognoses are prevalent among ICU patients, particularly those requiring mechanical ventilation. While sedation is a cornerstone of intensive care, the impact of its depth remains con...

History education in Indonesian primary schools has been reconfigured following the transition from the 2013 Curriculum to the Merdeka Curriculum, particularly through the shift from Social Studies (IPS) to Natural and S...

Critical Discourse Analysis is a kind of analysis which seeks to discover the relationship among power, ideology and discourse. Recently, the growing Sino-Japanese dispute over the Diaoyu Islands, causing widespread conc...

Abstract Occupational Health and Safety (OHS), which holds substantial importance due to its profound human implications and far-reaching economic consequences, requires effective management to minimize workplace acciden...

Abstract Factor analysis may be considered as a classifier analysis and mostly does the same function as cluster analysis. Cluster analysis and factor analysis are applied to the standard prices of certain nine consumer ...

Studies on Y[Co(CN)6]·4H2O by means of thermal analysis, IR and Raman spectroscopy and X-ray powder diffraction were carried out. The complex Y[Co(CN)6]·4H2O crystallizes in the orthorhombic crystal system, space group...

This study presents Duygu-Turk, a novel deep learning-based sentiment analysis framework specifically designed for the Turkish language which is characterized by its agglutinative and morphologically rich structure. Unli...

The analysis of the Air Quality Index (AQI) is currently a popular subject in the area of sustainable research, as it is crucial for investigating and analysing the effects of air pollutants on human health in urban envi...

Abstract Persistent fault analysis is effective when a single element of the S-box is altered. However, most fault injection techniques tend to induce multiple faults. In such multiple-fault scenarios, existing key recov...

The members of the homologous homeodomain-leucine zipper (HDZ) family of transcription factors play important roles in the ability of plants to cope with adverse conditions. In this study, we analyzed the genome of the C...

Customer feedback is pivotal in enhancing service quality and user satisfaction across digital platforms. However, traditional sentiment analysis methods often struggle with informal languages, contextual nuances, and as...

ABSTRACT Background and Aims While Masson's Trichrome is widely used for collagen visualization, its qualitative nature limits reproducibility and statistical comparison. A methodological gap persists in the quantitative...

The Israel-Palestine conflict which has persisted for decades drives mounting global interest that consequently influences public opinion worldwide. This article examines the sentiment analysis of X (Twitter) data pertai...

In the present contribution, benchtop total reflection X-ray fluorescence spectrometry (TXRF) has been evaluated as a cost-effective multielemental analytical technique for human placenta analysis. An easy and rapid samp...

ABSTRACT some variables may have nominal or ordinal scale, this causes a failure of analyzing the Pearson's correlation matrix by factor analysis. However, it was suggested to replace the elements of the correlation matr...

Summary Bayesian Inference depends in general on the use of prior information about the unknown parameters to be estimated as such parameter random variables rather than constant quantities and add that prior information...

Abstract This study addresses the prevalent issue of meat species authentication and adulteration through a chemometrics-based approach, crucial for upholding public health and ensuring a fair marketplace. Volatile compo...

Probabilistic analysis is an emerging field of structural engineering which is very significant in structures of great importance like dams, nuclear reactors etc. In this work a Neural Networks (NN) based Monte Carlo Sim...

Abstract This study aimed to evaluate the effectiveness of propolis extract as a natural preservative for livestock products in term of chemical and microbiological characteristics by meta-analysis. The stages carried ou...

Currently, many prospective students are still confused about which study program to choose. One of the problematic factors is the lack of references from prospective students about the contents of each study program. Th...

BackgroundRecent studies have disputed the association between bisphenol A (BPA) and endometriosis. This updated meta-analysis was conducted to investigate the impact of BPA exposure on endometriosis.MethodsThis study ev...