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.
En los tiempos actuales, la educación científica, se ha convertido en uno de los pilares fundamentales en la formación de los individuos y la sociedad. En el contexto señalado, surge un enfoque que innova el proceso educativo, el cual, pretende combinar lo tradicional con lo disruptivo, este modelo es el STEM (Ciencia, Tecnología, Ingeniería y Matemáticas). La presente investigación pretende responder al cuestionamiento ¿Cómo asegurar la formación de los alumnos de termodinámica, mediante un experimento a través del uso de las tic?
Overeating creates strain on your digestive system. One of the best ways to stop overeating is to get rid of your appetite and cravings. The way to do that is to get on the healthy and do intermittent fasting. Consuming high quality nutrient dense foods that satisfy the body, on the healthy version of the diet, you are also consuming low carbohydrate foods, which help reduce hunger in between meals.
Cardiovascular diseases (CVDs) remain a leading global cause of morbidity and mortality. Timely identification of individuals at risk is paramount for effective interventions and prevention. This study endeavors to develop machine learning approaches for predicting the initial cardiovascular risk level analyzing the dataset encompassing patient demographics, medical history, lifestyle factors, and clinical indicators.
This study primarily aimed to determine the utilization of reading materials as a basis for effective reading programs. With the recent challenges faced by the educational sectors because of the pandemic, there is a need for reconsideration as to how students can improve their reading comprehension. Considering the number of students in the university, there is a need for the university to revisit the utilization of SRA Reading Laboratory as well as the Power Book Builders after many years of using it.
Exhaust system design has become a tricky job when analyzing the structural integrity of a marketable vehicle where its hot end components like catalytic converters are the most popular exhaust emission control devices. The T6 hot end exhaust model is modelled in FEM process where Hypermesh is used as a pre-processor, Abaqus as a solver. Shell and solid elements were utilized to provide better results in the modal frequency domain. The 3-point and 6-point engine excitation is considered towards the COG of the engine.
