Results 71 to 80 of about 91,649 (245)

Persistent Magnetism and Tunable Doping of Monolayer Graphene via Europium Density Modulation

Advanced Science, EarlyView.
The modulation of europium density at the graphene/rhenium interface enables electron doping of monolayer graphene both beneath and beyond the van Hove singularity. The interfacial europium is ferromagnetic, with a transition from a mixed Eu(II)/Eu(III) valence in the dense phase to a pure Eu(II) state in the diluted phase.
M. Jugovac, I. Cojocariu, G. Bihlmayer, P. Gargiani, M. Valvidares, C. A. Brondin, S. Blügel, A. Locatelli, T. O. Mentes, P. Perna   +9 more
wiley   +1 more source

A TtAgo‐Driven Autocatalytic Circuit with Thermal‐Enhanced Kinetics for One‐Pot Nucleic Acid Detection

Advanced Science, EarlyView.
This study proposes a universal catalytic DNA circuits termed TACTIC (Thermus thermophilus protein‐driven autocatalytic circuit) for one‐pot detection of DNA and RNA in multiple clinical samples. Integrated with machine learning, TACTIC accurately profile the distinct expression of four extracellular vesicle‐derived miRNAs across different samples and ...
Zuowei Xie, Ruijia Deng, Ben Niu, Yingjie Yang, Shuang Zhao, Hongzhao Yang, Meilin Gong, Jie Luo, Yu Tang, Jing Sheng, Yan Pi, Ming Chen, Kai Chang   +12 more
wiley   +1 more source

Study on Xiao Longyou's Medical Humanities Thought of "Sincere Heart and Earnest Intention"

Yixue yu zhexue
By delving into the medical humanistic thoughts of Xiao Longyou, this paper reveals that the core concept of his philosophy is "sincere heart and earnest intentions".
Xiayu XU, Ling HUANG
doaj   +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 Kimh, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Strategic Advocacy for Higher Education Research: Insights From US Agricultural Experiment Station Funding

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Amidst dwindling state funding and the legislative withdrawal from public university research support, a heightened political process shapes the allocation of scarce tax dollars. This article explores how advocacy within the political process influences funding support for higher education from state legislatures.
Gregory M. Perry, Trey Malone, Jay T. Akridge   +2 more
wiley   +1 more source

Thirty Years of Mentoring by “Bob Chan” of Young Japanese Surgeons to Become Scientists: An Adventure of Love

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Over the past three decades, we have mentored a generation of young Japanese surgeons, guiding them to become internationally recognized surgeon‐scientists. Through a unique collaboration between Japanese academic institutions and our laboratories at AntiCancer Inc.
Robert M. Hoffman, Kentaro Miyake, Itaru Endo   +2 more
wiley   +1 more source

The Dilemma and Implications of Clinical Decision-Making for Patients with End-Stage Heart Failure

Yixue yu zhexue
End-stage heart failure is the terminal stage of cardiovascular diseases. Its treatment faces many dilemmas that extend beyond medical technology into the realms of bioethics, existential philosophy, and the ultimate purpose of medicine.
Yili YUAN, Lin GUAN, Yinan ZHAO, Yu GU
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source