This study provides an important assessment of how body size influences the occurrence of macro-organisms in urban areas across the globe. Size in most plants, but only some animal families, was ...
This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...
The Daily Galaxy on MSN
A 50-year assumption about black holes may have just been broken
An international team of astronomers has uncovered subtle but significant signs that the cosmic engines powering quasars, ...
News-Medical.Net on MSN
Trial evaluates a traditional Chinese herbal formula for diabetic kidney disease with macroalbuminuria
Diabetic kidney disease affects a growing proportion of people with diabetes and remains the leading cause of end-stage renal ...
WiseCode uses AI-driven data analysis to reveal ingredient and nutrient information, helping you make more informed shopping ...
Diabetic kidney disease is a leading cause of kidney failure worldwide, yet current treatments often slow progression ...
Diabetic kidney disease is a leading cause of kidney failure worldwide, yet current treatments often slow progression sustained improvement in kidney ...
Modern Engineering Marvels on MSN
Quasar light signature shift challenges cosmic distance ruler
Confirming a non-universal X-ray-to-ultraviolet relation with cosmic time is quite surprising and challenges our ...
A study on Indo-European languages, using direct linguistic data, reconciles the two dominant hypotheses of where and how ...
This is an important contribution that largely confirms prior evidence that word recognition - a cornerstone of development - improves across early childhood and is related to vocabulary growth. This ...
Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...
Introduction The global evidence base on intimate partner violence (IPV) prevalence and risk factors is predominantly cross-sectional, limiting clarity in changes over time. Prospective cohort data ...
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