Results 161 to 170 of about 3,054 (254)
Pasta is a transcriptomic aging clock built on an age‐shift learning framework and trained on 17 000 samples across 21 datasets. It accurately predicts relative biological age across tissues, platforms, and species, captures stemness‐to‐senescence transitions, and identifies age‐modulatory perturbations.
Jérôme Salignon +6 more
wiley +1 more source
Single‐Atom‐Enhanced Fully Inkjet‐Printed Electrochemical Sensor for Dopamine Detection
Fully inkjet‐printed paper‐based dopamine sensors are fabricated using nitrogen‐doped graphene acid functionalized with copper single atoms. The copper sites uniquely enhance dopamine oxidation through strong molecular adsorption, as verified by electrochemical measurements and DFT calculations. The approach highlights the potential of single‐atom inks
Martin‐Alex Nalepa +11 more
wiley +1 more source
CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su +5 more
wiley +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
Ultrathin, Fully Solution‐Processed P(VDF‐TrFE) Piezoelectric Sensor Matrix for Electronic Skin
An ultrathin, fully solution‐processed 4×$\times$4 piezoelectric sensor array is developed for skinconformal electronicskin applications. The device integrates inkjetprinted polymer electrodes with a 226 nm P(VDFTrFE) active layer on a 4.53 μm$\umu{\rm m}$ Parylene C substrate, enabling extreme flexibility and robust tactile sensing. The array exhibits
Ninja Kajas +4 more
wiley +1 more source
Electrically Tuning Electromagnetic Wave Shielding in Phase Engineered 1T/2H‐MoS2‐Based Devices
Sub‐millimeter‐thick phase‐engineered 1T/2H‐MoS2 structures enable electrically tunable electromagnetic interference shielding through active modulation of microwave absorption and reflection. The coexistence of metallic and semiconducting phases, combined with a PVA/KOH gel electrolyte, provides dynamic control over charge transport and interfacial ...
Mustafa Akyol +3 more
wiley +1 more source
A bottom‐up, component‐resolved framework combining DSC/TGA, evolved gas analysis, and in situ XRD reveals how decomposition pathways control energy release in partial and micro‐cell configurations. Separator‐free assemblies are dominated by cathode‐O2${\rm O}_2$/anode‐Li reactions, while the separator restricts oxygen transport, reshapes the reaction ...
Ayrton M. Yanyachi +8 more
wiley +1 more source
ABSTRACT Scirrhous gastric cancer, characterized by diffuse infiltration and a high propensity for peritoneal dissemination, remains one of the most aggressive subtypes of gastric cancer. Despite a relatively high incidence of splenic hilar lymph node (No. 10) metastasis, the oncologic benefit of splenectomy remains controversial, while its association
Tsutomu Hayashi, Takaki Yoshikawa
wiley +1 more source
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source

