The Blue Zone Summit 2024 took place on January 20 at Paraiso Village Farm, Sabang, San Jose, Batangas. The event celebrated senior citizens’ longevity and aimed to establish Paraiso as the first BLUE ZONE FARM in the Philippines. In collaboration with Batangas State University – The National Engineering University and the Local Government Unit of...
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BatStateU launches SPARTAN1M tree-planting pledge and Climate Change Action Plan in sustainability drive
In response to the global call of environmental sustainability, Batangas State University – The National Engineering University positioned itself as a leading higher education institution in creating a lasting positive impact on the planet as it launched the pledge in planting 1.2 Million Trees (SPARTAN1M). In commemorating its 120th founding anniversary this year, BatStateU proudly...
Comparative analysis in the prediction of early-stage diabetes using multiple machine learning techniques
Diabetes is caused by high levels from blood glucose and it is characterized as a chronic disease, and also will disrupt fat and protein absorption. The levels rise from blood glucose because it cannot be burned in the cells from the pancreas because of the deficiency of insulin secretion or the insulin produce by the...
Renal Cyst Detection in Abdominal MRI Images using Deep Learning Segmentation
Renal cysts are categorized as simple cysts and complex cysts. Simple cysts are harmless and complicated cysts are cancerous and leading to a dangerous situation. The study aims to implement a deep learning-based segmentation that uses the Renal images to segment the cyst, detecting the size of the cyst and assessing the state of cyst...
Formulated Hand Sanitizer Utilizing Passion Fruit (Passifloraedulis) Leaf Extract as an Active Ingredient
Passiflora edulis leaf extracts were added as an active ingredient for alcohol-based hand sanitizer (ABHS). Matured leaveswere air-dried, powdered, and soaked in methanol (1:10, w/v) for 24 hours. The solvent-free crude extract was used toformulate hand sanitizer utilizing varying amounts of leaf extract (1,3 and 5% w/w). The antimicrobial activities of the leafextracts and the...
Design of Patient Specific Hip Prosthesis based on Finite Element Analysis: A Comparative Study
This study aims to develop a patient-specific hip implant for osteoarthritis conditions and to compare with intact and conventional implant. The femoral bone with head and shaft region was segmented from the pelvic griddle and converted into 3D model. The parameters such as femoral ball diameter, shaft length, acetabular cup diameter, and neck angle were...
Automating mosquito taxonomy by compressing and enhancing a feature fused EfficientNet with knowledge distillation and a novel residual skip block
Identifying lethal vector and non-vector mosquitoes can become difficult for a layperson and sometimes even for experts, considering their visual similarities. Recently, deep learning (DL) became a solution to assist in differentiating the two mosquito types to reduce infections and enhance actions against them. However, the existing methods employed to develop a DL model for...
Design of an Exoskeleton Robot for Lower-Body Rehabilitation
This paper presents a design of an exoskeleton robot to aid in lower-body rehabilitation of patients who have trouble with walking. The robot is intended for people who suffered from spinal cord injuries, brain trauma, cerebral palsy, Parkinson’s disease, and stroke. Specifically, a robot for rehabilitation can aid therapists and patients by letting the robot...
Conductive Filament Composites from Waste Battery Rod-Derived Exfoliated Graphite for Fused Deposition Modeling 3D Printing: A Two-Level Factorial Design Optimization Study
This study used carbon rods from spent zinc-carbon batteries as a source of exfoliated graphite (EG) to produce conductive filament composites for fused deposition modeling 3D printing. The EG filler was prepared through microwave irradiation, while the resulting 3D printable electroconductive EG composites were prepared using polylactic acid (PLA) and polyethylene glycol (PEG) as the...
An Enhanced Segmentation and Deep Learning Architecture for Early Diabetic Retinopathy Detection
Diabetic retinopathy is a serious complication needing prompt diagnosis and medication to avert vision loss. Lesions caused by the condition are difficult to track because they are hidden behind the eye’s structure in small and subtle forms. To extract relevant features., we created a robust pipeline using multiple preprocessing techniques., image segmentation architecture (DR-UNet) with...