Results 191 to 200 of about 566,850 (296)

A Novel GmSIN1‐GmRNF1a‐GmCSN5a Module Determines Soybean Salt Tolerance and Yield Under Saline Soil Conditions

Advanced Science, EarlyView.
Soybean production is severely threatened by salt stress. This study reveals that the GmSIN1‐GmRNF1a‐GmCSN5a module enhances salt tolerance by stabilizing the GmSIN1 protein. GmRNF1a acts as an E3 ligase to ubiquitinate GmSIN1 for degradation, a process inhibited by GmCSN5a.
Jinlong Xu, Mengqi Shan, Xinxin Yang, Rongmei Zhao, Mengke Zhang, Guohua Bao, Lili Wang, Mingru Li, Wenjiao Zhi, Muzi Wang, Tianshi Liu, Xiaojian Zheng, Wenyu Zheng, Qing Lu, Shuo Li, Fengning Xiang   +15 more
wiley   +1 more source

What's With All the Hype?: Applying Large Language Models in Neurology Education. [PDF]

Neurol Educ
Jordan RF, Southerland AM.
europepmc   +1 more source

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

Advanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang, Yiming Xia, Ali Shakiba, Hongrui Zhang, Xiaojing Hao, Priyank V. Kumar, Mahesh P. Suryawanshi   +6 more
wiley   +1 more source

SurgeryMate app: developing and evaluating a training app for surgical instruments and operating room equipment. [PDF]

BMC Med Educ
Rezayi S, Zare Z, Ashrafi AS, Shahmoradi L, Meigooni FSM.   +4 more
europepmc   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

Graphic-style stories to engage limited resource communities and promote health: methods for iterative co-design with community representatives. [PDF]

Front Public Health
Gertz S, Lee SY, Humphries J, Pettus-Ogelsby L, Martin LJ, Morris E, Mabisi K, Kohli E, Wilson KL, Beckham C, Tawwab V, Sherman P, Wijesooriya J, Elshaer S, Baker TA, Wagner E, Bates L, Hershberger S, Butsch Kovacic M.   +18 more
europepmc   +1 more source

Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors

Advanced Electronic Materials, EarlyView.
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko, Alon Ascoli, Fernando Corinto, Yuriy V. Pershin   +3 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Unlocking the silent signals: Motor kinematics as a new frontier in early detection of mild cognitive impairment. [PDF]

World J Psychiatry
Nagamine T.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source