Results 131 to 140 of about 91,662 (198)
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley +1 more source
MiR‐29b is enriched in extracellular vesicles (EVs) via a tetraspanin transporter‐dependent endocytosis and sorting complex required for the endosomal transport (ESCRT)‐dependent pathway. These EVs target the 3′ untranslated region (3′UTR) of TGFB2, thereby inhibiting the TGF‐β/Smad3 signaling pathway and repairing endometrial damage in intrauterine ...
Lihao Chen +10 more
wiley +1 more source
Ecology and evolution of pyrazines in insects
ABSTRACT Chemical communication is the oldest and most widespread form of signalling among and within organisms. Among the many compounds involved in such communication, pyrazines – nitrogen‐containing heterocyclic molecules – are especially intriguing due to their widespread occurrence across the tree of life, from bacteria and fungi to insects and ...
Zowi Oudendijk +2 more
wiley +1 more source
Pathogen Identification and Treatment of <i>Trichoderma koningiopsis</i> ZL01 Mycosis in Firefly <i>Pygoluciola</i> sp. (Coleoptera: Lampyridae). [PDF]
Chen YH +5 more
europepmc +1 more source
ABSTRACT Lipid nanoparticles (LNPs) represent the most clinically advanced platform for RNA delivery and have enabled major breakthroughs in vaccines and gene therapies. However, their broader application is still limited by inefficient extrahepatic delivery, immunogenicity, and insufficient control over tissue‐ and cell‐specific targeting. This review
Yu Han +5 more
wiley +1 more source
A luminescence-based biosensor to measure endogenous UBE3A activity. [PDF]
Xing L +5 more
europepmc +1 more source
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
A Soft Sensor Modeling Method Based on Local Migration Modeling Framework. [PDF]
Wang B, Huang S, Cai H.
europepmc +1 more source
Computational machine learning analysis and validation for estimation of viscosity of ionic liquids versus temperature and composition. [PDF]
Liu Y, Chen H, Li D, Bi C, Iqbal J.
europepmc +1 more source
ABSTRACT This study aimed to evaluate the toxicological effects of occupational exposure to factory‐derived particulate matter (PM2.5) on human skin, emphasizing its role as a potential target organ of environmental toxicants. An epidemiological survey comparing factory and nonfactory workers was conducted by assessing their skin elasticity and color ...
Miku Tanaka +7 more
wiley +1 more source

