Results 201 to 210 of about 36,456 (268)

Ensuring Clinical Practice Guidelines Meet the Needs of the End-User: a Prioritization Survey for Guideline Topics for Behavioural and Psychological Symptoms of Dementia. [PDF]

Can Geriatr J
Atchison K, Watt JA, Porter J, Seitz D, Kirkham J, Goodarzi Z.   +5 more
europepmc   +1 more source

Human‐Centered Innovation: Precision Nutrition and the Future of Food

Advanced Science, EarlyView.
ABSTRACT Nutritional science is moving beyond one‐size‐fits‐all recommendations toward more precise and personalized approaches, yet its implementation pathway remains unclear. This paper proposes a human‐centered precision nutrition framework that highlights the central roles of artificial intelligence (AI), food innovation, and human agency.
Shanshan Zhang, Yonggan Sun, Jiaqi Jiang, Shaoping Nie   +3 more
wiley   +1 more source

Recognizing the cultural background, motivation, and experience of TN-visa workers in the U.S. swine industry. [PDF]

Transl Anim Sci
Lopez-Soriano M, Resende TP, Arruda AG, Campler MR, Franco I, Flaherty K, Johnson AK, Pairis-Garcia M, Chatila S, Pieters M, Urriola P, Adams KL, Begum N, Jackson-Smith D, Safranski TJ.   +14 more
europepmc   +1 more source

Lilrb4a Suppression Reprograms Microglia to Mitigate APOE4‐Associated Amyloid Plaques and Cerebral Amyloid Angiopathy in Association With a PPAR‐Linked Pro‐Clearance State

Advanced Science, EarlyView.
Targeting Lilrb4a in Apolipoprotein E4 (APOE4)‐associated Alzheimer's disease (AD) reprograms microglia toward a beneficial, phagocytic state. Genetic deletion or antisense inhibition of Lilrb4a suppresses p‐SHP2/NF‐κB/STAT1 signaling, restores PPAR‐linked lipid and energy metabolism, and reduces amyloid plaque burden and cerebral amyloid angiopathy ...
Changxu Nie, Ruixi Yang, Xiaotong Wang, Ping Jia, Xueqi Zhang, Yaqi Dai, Xue Bai, Sijia Duan, Yufeng Li, Peng Zheng, Xin Tian, Li Jiang, Chao Wang   +12 more
wiley   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Education + training = the keys to the future. Vocational Training No. 1/1989 [PDF]

, 1989

core  

Centering Asian voices in global aging research: strengthening data infrastructure in East and Southeast Asia. [PDF]

Lancet Reg Health West Pac
Teerawichitchainan B.
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

The relationship between sports managers' emotional intelligence and communication skills and employee voice and performance: A path analysis. [PDF]

BMC Psychol
Özdemir E, Çakır G.
europepmc   +1 more source