Results 161 to 170 of about 1,161,817 (311)
Healthcare Professionals' Perceptions of Digital Counselling: A Qualitative Descriptive Study. [PDF]
Kaihlaniemi J +4 more
europepmc +1 more source
Internet Packet Sniffing and Its Impact on the Network Neutrality Debate and the Balance of Power Between Intellectual Property Creators and Consumers [PDF]
Frieden, Rob
core +1 more source
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Social media, adolescent mental health, and diet: a policy content analysis. [PDF]
Conway-Moore K +6 more
europepmc +1 more source
L'enforcement nel Digital Markets Act e nel Digital Services Act
La tesi mira ad analizzare e comparare i meccanismi e le strutture per l'enforcement nel Digital Markets Act (DMA) e Digital Services Act (DSA) a livello europeo e nazionale. A questo fine, si intende innanzitutto descrivere brevemente i due regolamenti UE di recente approvazione ed entrata in vigore. Più nello specifico si descriverà cosa sono, come
openaire +1 more source
Flemish media regulator dismisses complaint against stand-up comedy programme [PDF]
Lievens, Eva
core
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source
This study identifies mutation‐intolerant genes (MIGs), which are mutationally constrained in tumors despite normal‐tissue variability. Using miDriver, the authors pinpoint MIGs essential for tumor‐intrinsic fitness and immune evasion. Focusing on CHEK1, they show it drives tumor fitness and sculpts an immunosuppressive niche via the MIF–CD74 axis ...
Tao Wang +16 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source

