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From Trash to Treasure – Philippine Fish Skin Shows Promise in Treating Burns
A groundbreaking discovery from Ateneo de Manila University scientists is poised to revolutionize wound care, particularly in developing nations. Their…
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UP Diliman Physicists Crack the Code of Cold
The world of condensed matter physics operates at extremes, where temperatures plummet near absolute zero and materials exhibit bizarre behaviors.…
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Filipinos’ Key Barriers to Using Solar Energy
The Philippines enjoys abundant sunshine and faces high electricity costs. Despite these conditions, the adoption of rooftop solar power (RTSP)…
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Improved Sunny Day Forecast
Ateneo de Manila University and the Manila Observatory led an international research team. This team made significant strides in enhancing…
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The Rapid Sinking of Metro Manila
Tectonic motion, natural compaction of sediments, and excessive groundwater extraction with rapid urbanization is a growing concern. It drives land…
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Talk about Genes Regards Regulatory Hurdles
The University of the Philippines – Diliman College of Science (UPD-CS) has launched a two-part campaign. It is called “#GeneTalks.”…
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Shellfish Found in Luzon Can Cause Amnesia
Luzon, the most populous group of islands in the Philippines, is faced with a new potential health concern. The presence…
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New Study Challenges Lipid-Heart Hypothesis and Keys Equation
The paper, published in the open-access journal Nutrients, highlights a critical mistake by Keys. He mistakenly conflated healthy saturated fats…
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Researchers Call to Regulate Flavored Tobacco
The research, published in the journal Globalization and Health, analyzed a wide range of tobacco products available in the country.…
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University of the Philippines Awarded for Plastic Pollution Research
The project aims to raise awareness. It seeks to set up baseline data on plastic pollution.
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The Viral Risks in Philippine Shellfish
The study identified numerous potential points of contamination along the “farm-to-fork” supply chain.
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Topological Approach To Predicting Market Crashes
TDA works by identifying clusters, loops, and voids within datasets, revealing underlying patterns that might otherwise be obscured.
