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Center for Sustainable Development – Batangas State University TNEU

BatStateU recognized by CHED for global university rankings participation

Batangas State University, The National Engineering University, was recognized by the Commission on Higher Education (CHED) on June 24, 2025, alongside 113 other Philippine higher education institutions (HEIs) for their participation and ranking in international university evaluations. The recognition ceremony, titled “Ranked and Recognized: A Celebration of PHEIs,” was held at the CHED Central Office...

BatStateU The NEU climbs in 2025 Times Higher Education Impact Rankings, breaks into 401-600 band globally

Strengthening its commitment to advancing the United Nations (UN) Sustainable Development Goals (SDGs), Batangas State University, The National Engineering University (BatStateU The NEU), has made a significant leap in the 2025 Times Higher Education (THE) Impact Rankings, rising from the 601–800 band to the 401–600 band out of 2,318 participating universities worldwide, as announced on...

CSD holds capacity building and sustainability benchmarking workshop

The Center for Sustainable Development (CSD) of Batangas State University, The National Engineering University, recently conducted a Capacity Building and Sustainability Benchmarking Workshop, gathering Sustainable Development Office (SDO) Heads and Coordinators across the university system. The event aimed to strengthen campus capacities in project development, implementation, and sustainability reporting. The morning session featured a hands-on...

BatStateU recognized by CHED for global university rankings participation – SUSTAINABLE INNOVATION SAMPLE

Batangas State University, The National Engineering University, was recognized by the Commission on Higher Education (CHED) on June 24, 2025, alongside 113 other Philippine higher education institutions (HEIs) for their participation and ranking in international university evaluations.The recognition ceremony, titled “Ranked and Recognized: A Celebration of PHEIs,” was held at the CHED Central Office Auditorium...

Corrigendum: Early detection of Alzheimer’s disease in structural and functional MRI (Frontiers in Medicine, (2024), 11, (1520878), 10.3389/fmed.2024.1520878)

In the published article, there was an error in the Funding statement. It needed to include the same content as provided in the acknowledgment section. The correct Funding statement appears below. © © 2025 Maity, Raja Sankari, Snekhalatha, Velu, Alahmadi, Alhababi and Alkahtani.

IMPACT OF DANCE VIDEO TUTORIALS ON WELLNESS OF TEACHER EDUCATION STUDENTS; IMPACTO DOS VÍDEOS TUTORIAIS DE DANÇA NO BEM-ESTAR DOS ALUNOS DE FORMAÇÃO DE PROFESSORES

The promotion of wellness through dance video tutorials by teacher education students has emerged as an effective and engaging approach to enhancing over all well-being. This study determined the respondents’ extent of exposure in dance video tutorials and how may the respondent’s wellness be assessed relative to mental, environmental, intellectual, social, physical and spiritual. This...

AUTOMATED SEMANTIC SEGMENTATION AND PREDICTION OF ALZHEIMER’S IN STRUCTURAL AND FUNCTIONAL MRI BASED ON DEEP LEARNING TECHNIQUES

The main objective of the study is to evaluate the impact of deep learning-based segmentation of the hippocampus and ventricle regions in enhancing the early detection of AD compared with fMRI functional connectivity analysis. Particularly, the study emphasizes on (i) identifying the early AD by analyzing the functional connectivity in the ventricle and hippocampus regions...

Discipline in practice and study: A cross-sectional study on grit and academic engagement in combat sport athletes; Disciplina en la práctica y el estudio: un estudio transversal sobre la determinación y el compromiso académico en atletas de deportes de combate

This study explores the dual role of grit, physical and academic grit in influencing academic engagement among student combat sports athletes. While previous research emphasizes grit within either academic or athletic domains, few studies have examined how these two dimensions interact to affect educational outcomes. The primary aim of this study was to examine the...

Detection of smoking behavior by identifying cigarettes and key action features using YOLO algorithm

To understand the smoking behaviour recognition technology of YOLOv8, a smoking behaviour detection method based on human key points and YOLOv8 is proposed. Based on using deep learning for target detection of cigarette butts, human keypoint detection is added to determine whether smoking actions occur by calculating distance, angle, and period. This method first uses...

TUMbRAIN: A transformer with a unified mobile residual attention inverted network for diagnosing brain tumors from magnetic resonance scans

Diagnosing tumors in Magnetic Resonance Imaging (MRI) brain scans is challenging and can lead to errors, even for radiologists. Deep learning, mainly through deep convolutional neural networks, has assisted in automating the diagnosis of these scans. However, there is still room for improvement. Researchers have shown that transformer models hold promise but often remain underutilized...

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