Results 71 to 80 of about 364,108 (307)

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source

Cell Phones and Bacteria

AJN, American Journal of Nursing, 2018
In addition to causing situational blindness and distractions while on the job, as discussed by Kathleen Bartholomew in “Not So Smart: Cell Phone Use Hurts Our Patients and Profession” (Viewpoint, June), cell phones can also act as potential reservoirs for bacteria and can become vectors for ...
openaire   +3 more sources

Borophene: Crucial Challenges and the Way Forward

Advanced Science, EarlyView.
This review explores the challenges and progress in borophene research, focusing on synthesis strategies, structural properties, and potential applications. It highlights key experimental breakthroughs, discusses theoretical insights into borophene's unique features, and addresses pathways for overcoming stability and scalability issues.
Zhixuan Li, Jeyaraman Sankar, Prashant Kumar, Ajayan Vinu   +3 more
wiley   +1 more source

Wafer‐Scale Room‐Temperature Processing of Lead‐Free Perovskites for Optoelectronic Applications

Advanced Science, EarlyView.
We present the first wafer‐scale, room‐temperature synthesis of lead‐free Cs3Sb2X9 (X = Br, I) perovskite films via solvent‐free magnetron sputtering. The resulting high‐performance photodetectors achieve benchmark responsivity, bandwidth, and detectivity, enabling scalable manufacturing for next‐generation optoelectronics.
Rosanna Mastria, Hoi Tung Lam, Ioannis Leontis, Sara Bonomi, Mohammed Ali Saleh Alshehri, Aurora Rizzo, Pietro Galinetto, Maddalena Patrini, Ned Taylor, Steven P. Hepplestone, Monica F. Craciun, Lorenzo Malavasi, Saverio Russo   +12 more
wiley   +1 more source

The association of sleep and late-night cell phone use among adolescents

Jornal de Pediatria
Objective: This study aims to assess the relationship of late-night cell phone use with sleep duration and quality in a sample of Iranian adolescents. Methods: The study population consisted of 2400 adolescents, aged 12-18 years, living in Isfahan, Iran.
Babak Amra, Ali Shahsavari, Ramin Shayan-Moghadam, Omid Mirheli, Bita Moradi-Khaniabadi, Mehdi Bazukar, Ashkan Yadollahi-Farsani, Roya Kelishadi   +7 more
doaj   +1 more source

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

Cell Phones as Instructional Technology in the Civics Classroom [PDF]

, 2020
Diana Owen, Chelsea Sanchez
openalex   +1 more source

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

Advanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu, Ke Zhang, Zelei Miao, Gaoyi Yang, Yujing Huang, Ju‐Sheng Zheng   +5 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 more
wiley   +1 more source

The dimensions of brand romance as predictors of brand loyalty among cell phone users

South African Journal of Economic and Management Sciences, 2014
In a competitive cell phone industry where consumers have a wide variety of cell phone brands to choose from, it is imperative for marketers to foster brand loyalty in order to establish enduring consumer-brand relationships.
Danie Petzer, Pierre Mostert, Liezl-Marie Kruger, Stefanie Kuhn   +3 more
doaj   +1 more source