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Health insurance spending is rising worldwide. This trend strains public budgets that must remain balanced. Policymakers turn to data for answers. But finding clear links between economy and costs is complex. Many variables compete for attention. Young people especially notice how these changes affect future contributions. Researchers recently applied a machine-learning system to this problem. The model used 60 macro-financial and social indicators. Data covered Korea's national health insurance from 2000 to 2023. Three monthly spending tracks were examined separately. The goal was to forecast future costs with greater precision. Each indicator was tested for its predictive strength. The system chose LightGBM as its core engine. SHAP analysis revealed which indicators carry the most weig

Predicting how much stock prices swing day to day is tough. It matters a lot for investors, banks, and even government rules. Most past research looked at big market indexes like the VIX. But this study zooms in on individual stocks instead. It compares old-school stats methods with newer AI tools. The goal? See which one guesses future volatility better. The study picked ten famous U. S. companies. They came from tech, finance, and energy sectors. Data ran from January 2018 to December 2024. That’s over 1,700 trading days of info. Five models were tested. Two were classic: GARCH(1,1) and GJR-GARCH(1,1,1). These use math formulas to spot patterns in past prices. The other three used machine learning. One was Random Forest, a tree-based AI method. The other two were deep learning models: LS

Hearing loss is a long‑term condition that goes beyond just not hearing well. It can cause people to feel isolated, lonely, and down, which hurts their overall wellbeing. This hidden burden often goes unnoticed by doctors who focus only on the ears. Recent surveys have found that people with hearing problems are more likely to think about suicide, especially when communication barriers mix with depression and social withdrawal. The risk rises when the hearing loss is severe and when the person feels stuck with no easy way to communicate. Audiologists work with these patients regularly, watching their hearing health and overall health. They can use quick, validated tools to flag anyone who might be at risk, guiding them toward a mental health professional. Audiologists are trained to noti

A group of 18 healthy adults took part in the experiment. Half of them were women. Their average age was about 25 years, with a small spread of four years. Each person rode a stationary bike to the point of exhaustion. The test began at zero watts. After that, the workload jumped to 40 watts. Every two minutes the resistance was increased until the rider could no longer continue. While they pedaled, the scientists tracked their breathing, heart rate, and blood pressure. The team measured how hard the heart worked by calculating the Rate Pressure Product (RPP). They looked at the jump in RPP from the start (0 W) to the intensity where breathing became especially heavy, called the respiratory compensatory point (RCP). This change is called ΔRPP. Small pieces of muscle from the thigh were ta

A permanent shade pavilion can dramatically lower heat stress during outdoor sports. Researchers in Athens Georgia tested this idea over a full summer. They compared a sunny grass field to a covered pavilion area. The team took 309 paired measurements under all kinds of weather. The results were striking. The pavilion dropped the wet bulb globe temperature by about 4. 1 degrees Celsius on average. That cooling effect got even stronger when the sky was clear. Under direct sun only 36 percent of readings allowed unrestricted play. Fifteen percent hit the most dangerous restriction level. Under the shade those numbers flipped completely. Ninety six percent of readings needed no activity changes. Zero readings reached the highest risk category. This translates to way more safe play time. Kids

A recent study looked at why some Palestinian medical students want to become radiologists. The research focused on education, technology, and personal interests. Researchers surveyed 427 students across multiple schools. About 57% were women, and the average age was 21. 75 years. Of those who answered questions about career plans, 34% said they were considering radiology. The team used a tested questionnaire to gather responses. They ran statistical tests to find clear patterns. The results showed which factors made students more or less likely to choose radiology. Students who had no exposure to radiology research were much less likely to consider it. Their odds dropped by 86%. Similarly, those without preclinical radiology teaching showed 74% lower odds. These gaps in training clearly