Results 61 to 70 of about 756 (255)

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

A Dual‐Modal Wearable PPG Smartwatch with AI‐Enhanced Correction for High‐Accuracy and Continuous AF Burden Assessment

Advanced Science, EarlyView.
ABSTRACT Atrial fibrillation (AF) increases the risk of stroke and heart failure, yet accurate quantification of AF burden in daily life remains difficult. Although smartwatch photoplethysmography (PPG) supports continuous monitoring, complex rhythms and signal noise can impair burden estimation.
Song Zuo, Jinglei Wang, Xin Wang, Han Feng, Yize Zhao, Fadong Li, Shaobin Wei, Le Zhou, Zixu Zhao, Songjie Chen, Xiangyi Kong, Jue Wang, Liu He, Shijun Xia, Xin Li, Junmeng Zhang, Xiaoxia Liu, Xueyuan Guo, Ning Zhou, Songnan Li, Chenxi Jiang, Ribo Tang, Caihua Sang, Deyong Long, Xin Du, Jianzeng Dong, Wenwu Zhu, Changsheng Ma   +27 more
wiley   +1 more source

Trafficking Deficiency of TMEM175 Variants in Parkinson's Disease Pathogenesis and the Prospects of Precision Medicine

Advanced Science, EarlyView.
This study identifies that the PD‐associated TMEM175‐L156P variant disrupts lysosomal ion channel trafficking by causing aberrant endoplasmic reticulum retention. A “chaperone–agonist” bifunctional small molecule restores TMEM175‐L156P lysosomal localization and channel function, thereby alleviating PD‐relevant cellular phenotypes and highlighting a ...
Ting Luo, Yu He, Shuyao Li, Haoyu Guan, Ruili Cui, Yu Shi, Zhongwen Jiang, Siyu Wang, Xuan Li, Jiyuan Li, Mei Hu, Yupeng Zhou, Beisha Tang, Yanyan Zhang, Zhaobing Gao, Yu Zhou, Zhenhua Liu, Ping Li   +17 more
wiley   +1 more source

TM Electromagnetic Scattering from PEC Polygonal Cross-Section Cylinders: A New Analytical Approach for the Efficient Evaluation of Improper Integrals Involving Oscillating and Slowly Decaying Functions

Advances in Mathematical Physics, 2019
The analysis of the TM electromagnetic scattering from perfectly electrically conducting polygonal cross-section cylinders is successfully carried out by means of an electric field integral equation formulation in the spectral domain and the method of ...
Mario Lucido, Chiara Santomassimo, Fulvio Schettino, Marco Donald Migliore, Daniele Pinchera, Gaetano Panariello   +5 more
doaj   +1 more source

Green and Low‐Carbon Synthesis of Lithium Sulfide (Li2S): From Fundamental Mechanisms to Scalable Manufacturing for Next‐Generation Energy Storage

Advanced Science, EarlyView.
This review focuses on green synthesis routes for lithium sulfide (Li2S)—a key material for lithium–sulfur batteries and sulfide solid electrolytes, whose traditional carbothermal reduction remains energy‐intensive and unsustainable. Specifically examined routes include low‐temperature solid‐state reactions, magnesiothermal reduction, and solution ...
Aiping Peng, Xingtao Qi, Lingfeng Zhu, Ningrui Zhan, Yaohui Qu, Hui Li, Hai Zhang, Fan Wang, Ze Zhang, Xuewen Wang, Zhenyu Yang, Tianyi Ma   +11 more
wiley   +1 more source

Riemann-Type Definition of the Improper Integrals [PDF]

Czechoslovak Mathematical Journal, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Data‐Driven Discovery of Unconventional Antiferromagnets

Advanced Science, EarlyView.
A high‐throughput workflow that combines the physics‐informed pre‐screening, high‐throughput exchange calculations, Luttinger‐Tisza analysis and symmetry classification is established for accurate identification of unconventional antiferromagnets from the broad structural database.
Qirui Cui, Chenxu Liu, Anna Delin, Kaiyou Wang   +3 more
wiley   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Fully Recyclable Printed Magnetoresistive Sensors Covering Broad Operational Ranges for Sustainable Interactive Electronics

Advanced Electronic Materials, EarlyView.
This work presents a sustainable printing and recycling strategy for magnetic sensors designed for IoT applications. By combining solvent‐orthogonal binders with tailored magnetic fillers, the sensors achieve tunable sensitivity across low to high magnetic field ranges.
Rui Xu, Guannan Mu, Shirong Huang, Sebastian Lehmann, Gianaurelio Cuniberti, Kornelius Nielsch, Denys Makarov   +6 more
wiley   +1 more source

Heavy Metal Contamination: Impacts From Plants to the Food Chain and Eco‐Friendly Amelioration Strategies

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Heavy metal pollution reduces soil health and threatens food safety by entering plants; however, the use of nanoparticles, biofertilizers, and organic fertilizers such as biochar offers a promising strategy for improvement and sustainable agriculture. ABSTRACT Heavy metal (HM) pollution, resulting from human activities such as mining and the excessive ...
Sina Siavash Moghaddam, Latifeh Pourakbar, Sevda Alizadeh, Zahra Alizadeh, Jelena Popović‐Djordjević   +4 more
wiley   +1 more source