Results 171 to 180 of about 223,962 (308)

Fairness Correction in COVID-19 Predictive Models Using Demographic Optimization: Algorithm Development and Validation Study. [PDF]

Online J Public Health Inform
Awasthi N, Abrar S, Smolyak D, Frias-Martinez V.   +3 more
europepmc   +1 more source

High‐Performance Noble‐Metal‐Free Perovskite Solar Cells Enabled by MoOX/Cr/Al Multilayer Electrodes

Advanced Energy Materials, EarlyView.
Cost‐effective perovskite solar cells (PSCs) are developed using a noble‐metal‐free MoOX/Cr/Al multilayer electrode. The devices achieve a power conversion efficiency (PCE) of 25.6%, competitive with that of Au‐based devices (26.3%), and a 25.5 cm2 mini‐module shows 21.3% PCE.
Wooyeon Kim, Soyeon Kim, In Choi, Seoyeong Lee, Subin Yu, Young Yun Kim, Bonkee Koo, Min Jae Ko   +7 more
wiley   +1 more source

Characterizing Alzheimer's Disease and Related Dementia in a Hypertension Population Within the State of Florida Using Electronic Health Record-Based Data. [PDF]

Clin Pharmacol Ther
Jafari EA, Alshahawey M, Zaman MA, Smith SM, Gong Y, Smith GE, McDonough CW.   +6 more
europepmc   +1 more source

Explorations in Ethnic Studies [PDF]

, 1992

core   +1 more source

Organic Photoelectrochemical Cells Beyond Performance: Interface and Catalyst Engineering for Durability

Advanced Energy Materials, EarlyView.
Organic photoelectrochemical cells based on π‐conjugated semiconductors offer a versatile platform for solar fuel generation. This review outlines operating principles, device architectures, and key metrics, and highlights advances in p‐ and n‐type photoelectrodes, interfacial engineering, and catalyst integration.
Jaehyeong Kim, Jung Min Ha, Yeonjeong Lee, Seung Won Oh, Wangyeon Lee, Munsu Kwon, Soonyong Lee, Jin Young Kim, Han Young Woo   +8 more
wiley   +1 more source

Co-designing an intergenerational dance programme using the 6SQuID framework: a development and proof-of-concept study. [PDF]

BMJ Open
O'Reilly SM, Ni Bhriain O, Thabane L, Clifford A.   +3 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

The Walls Have Eyes: Surviving Migration in the Age of Artificial Intelligence. By Petra Molnar, New Press, 2024, 277 pp.

Refuge
Kaelynn Narita
doaj   +1 more source

Silicon‐Based Anodes for Sulfide Solid‐State Batteries: Failure Mechanisms and Multiscale Design Strategies

Advanced Energy Materials, EarlyView.
Silicon anodes in sulfide SSBs face coupled electrochemo‐mechanical failure by interface instability. This review examined recent advances and proposed mitigation strategies via material‐, electrode/interface‐, and cell‐level‐ engineering. We further evaluate scalable synthesis of sulfide SEs.
Murugesan Karuppaiah, JaeWook Seo, SeEun Park, Seung Hyeok Chu, Jung Kyoo Lee   +4 more
wiley   +1 more source

Public profiles in Alzheimer's disease stigma: Unsupported, discriminated, and alone. [PDF]

J Public Health Res
Stites SD, Kuz C, Harkins K, Rubright JD, Johnson R.   +4 more
europepmc   +1 more source