Physical Sciences and Engineering

The objective of the present study was to assess the functional mobility of male and female elderly subjects residing in high-altitude regions of India. The study was performed on 300 elderly males and 300 elderly females between the age range of 60 to 70 years residing in Tehri, Uttarakhand. The selected elderly subjects were chosen purposively and none have any history of serious medical illness. To assess the problems of functional mobility of the selected subjects, a pre-validated functional mobility scale was developed.

Background: Hairdressing is a profession which is blooming in modern time not only in money making but also as a desired line of work for the youth. The mechanical load on the joints, prolonged standing, longer working hours, missed meals, not taking breaks during work, and attending to a large number of customers in a single day significantly add as important occupational health risks for these professionals.

The world's coral reefs are under increasing pressure due to local and global triggering factors (e.g., acidification, pollution, plastic waste, rising temperatures, and wastewater) that degrade the condition and function of coral reefs. These pressures have the potential to cause drastic changes in coral reefs, such as a "shift to the algal phase," in which Scleractinia coral-dominated communities "switch" to macroalgae-dominated communities or less productive algal grasses.

En los últimos tiempos, se ha generado un campo emergente en la educación, siendo esta, la Educación para el Desarrollo Sustentable (EDS), la cual; pretende contribuir en la formación de ciudadanos, que sean conscientes y comprometidos con el cuidado del planeta.

Clothing level (clo) is one of the essential criteria used to regulate the 'occupants' satisfaction, along with the operative temperature, airspeed, relative humidity, and metabolic rate in the ASHRAE-55 CBE Thermal Comfort Tool.More often than not, thermal discomfort is due to inappropriately high clothing levels of indoor occupants. This study highlighted the influence of clothing insulation in achieving optimal thermal comfort.

As we approach a new era characterized by swift technological advancements, environmental concerns, and intricate global challenges, it becomes increasingly apparent that conventional approaches to engineering education are no longer sufficient. The well-trodden path of memorizing formulas and equations, while undoubtedly essential, is inadequate in preparing future engineers for the multifaceted issues facing our world.

This academic paper investigates electrification in Europe, with a focus on heat pumps and electric vehicles (EVs), crucial to the transition towards net-zero. Amidst the Ukraine conflict, electrification emerges as a vital investment trend, essential for climate stabilization through the transformation of the building and transportation sectors. The research explores two questions: the trends and barriers in deploying heat pumps within European buildings, and the feasibility of the EU’s goal of adding 30 million heat pumps by 2030.

Objective: to research scientific evidence on the association between physical fitness components and academic performance in adolescents. Method: survey of studies published between July 2016 and August 10, 2019, available in electronic databases (PsychInfo; Psychology and Behavioral Science; ERIC; Sport Discus; CINHAL and PubMed), which related the concepts of physical condition and academic performance in adolescents. Of the 54 studies chosen, fifteen were reviewed. Results: It was found that most of the studies consulted follow a cross-sectional study methodology.

The goal of this study is to investigate and evaluate various learning approaches in order to comprehend how they affect academic results. Education professionals can modify their instructional strategies to suit diverse learners and enhance the learning process by determining the advantages and disadvantages of various learning modalities. The effectiveness of auditory, visual, kinesthetic, and multimodal learning methods in terms of knowledge retention, engagement, and total learning performance is assessed in this study using a comparative analytic methodology.

Stock market prediction is a challenging task, as stock prices are influenced by a variety of factors. However, deep learning has emerged as a promising tool for stock market prediction. Deep learning models can learn complex patterns from large amounts of data, which can be used to predict future stock prices. In this paper, we review the application of deep learning in stock market prediction. We discuss the different deep learning models that have been used for stock market prediction, and we evaluate their performance.