This study proposes a novel optical fiber Bragg grating (FBG)-based load cell sensor using 3-D printing technology. It explores the impact of the infill density and pattern on the FBG’s temperature and mechanical strain sensitivity. Two FBGs were used, one for strain measurement, FBG L, and the other for temperature compensation, FBG T. Conducted

Energy consumption and network longevity are important factors in Internet of Underwater Things (IoUT) networks. In such networks, clustering approach enable to reduce the energy consumption in notable rate. In clustering based routing protocols, the cluster head (CH) must be carefully chosen. By avoiding premature energy exhaustion during certain

The research deals with leadership qualification in the Holy Quran through the story of the Prophet of God, Joseph - peace be upon him - and the problem of the research is to benefit from the Quranic model represented by Joseph - peace be upon him - through the Quranic verses mentioned in his story. The research aims to highlight the stages of disc

Language and dialect persist as separate concepts imply that linguists can make tidy distinctions for speech varieties worldwide. The study aims to compare Perlis and Kelantan dialects in Phonological level, it compares the differences and similarities between both dialects. The study found that the Perlis and Kelantan dialects display unique phone

Background and Objective: Patient–ventilator asynchrony (PVA) is prevalent in mechanical ventilation (MV) for critically ill patients and has been associated with adverse patient outcomes. However, studies investigating the associations between PVA and patient outcomes employ differing time windows for PVA evaluation. In this study, machine learn

Pressure-controlled (PC) ventilation is a pressure-targeted mode of mechanical ventilation (MV) to prevent barotrauma by using pre-set driving pressures. However, the lack of clinician consensus on approaches towards pressure-targeted MV management can lead to suboptimal MV treatment and adverse patient outcomes. This study presents an in-silico tr

This study aims to evaluate the effectiveness of machine learning (ML) models in predicting concrete damage using electromechanical impedance (EMI) data. From numerous experimental evidence, the damaged mortar sample with surface-mounted piezoelectric (PZT) material connected to the EMI response was assessed. This work involved the different ML mod

Abstract Bangladesh’s economy being a small one is home to a huge number of private commercial banks offering homogenous products giving rise to fierce competition within the industry. Gaining substantial customer loyalty can help bank companies survive the competition in the industry. This study tried to review the impact of service quality and

There is a need of cultivating developmentally appropriate module that can be implemented in schools to improve Critical Thinking (CT) skills in children for establishing groundwork for continuous learning and innovations. Literacy in science infused with enhancement of CT skills can better serve the goal of critical thinkers. The object of this st

The comprehensive exploration of the microbial composition of the gut and its role in depression underscores a complex interplay involving alterations in gut microbiome, immune pathways, and inflammatory control. Studies reveal potential biomarkers and therapeutic targets linked to depression, with particular bacterial genera correlated with the se