Results 81 to 90 of about 362,062 (288)

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Efficient and Secure Management of Medical Data Sharing Based on Blockchain Technology

Applied Sciences
In the current landscape of medical data management, processing data across diverse institutions and maximizing their value are paramount. However, traditional methods lack a secure and efficient mechanism for end-to-end traceability and supervision ...
Xiangke Mao, Chao Li, Yong Zhang, Guigang Zhang, Chunxiao Xing   +4 more
doaj   +1 more source

Komadu: A Capture and Visualization System for Scientific Data Provenance

Journal of Open Research Software, 2015
Data provenance captured from scientific applications is a critical precursor to data sharing and reuse. For researchers wanting to repurpose data, it is a source of information about the lineage and attribution of the data and this is needed in order to
Isuru Suriarachchi, Quan Zhou, Beth Plale   +2 more
doaj   +1 more source

Sustainable Phosphorylated Cellulose Nanocrystals: A Dual‐Affinity Platform for High‐Efficiency Enrichment of Intact Glycopeptides and Phosphopeptides

Advanced Science, EarlyView.
AAA ABSTRACT Protein glycosylation and phosphorylation are critical post‐translational modifications (PTMs) governing nearly all cellular functions, yet their analysis remains challenging due to reliance on costly and unsustainable enrichment materials.
Jiaying Li, Wuming Fan, Xuyang Yue, Dongdong Wang, Xiangyu Tang, Zhuo Zhang, Yonggui Wang, Yanjun Xie, Mingliang Ye, Hongqiang Qin   +9 more
wiley   +1 more source

CF-PROV: A Content-Rich and Fine-Grained Scientific Workflow Provenance Model

IEEE Access, 2019
Due to the complexity of scientific experiments, existing methods for capturing the provenance information from the scientific workflows (SWFs) face high programming overhead and code errors.
Qi Sun, Yue Liu, Wenjie Tian, Yike Guo
doaj   +1 more source

A Soft Matrix Microenvironment Promotes Laterally Spreading Tumors via Oxidative Phosphorylation‐Dependent Cell Adhesion

Advanced Science, EarlyView.
Laterally spreading tumors (LSTs) are precancerous colorectal lesions characterized by a flat morphology. This study reveals a mechanochemical pathway through which a soft matrix microenvironment diminishes spatial constraints in intestinal adenomas. This process promotes deficiencies in tight junction proteins, mediated by the mechanoreceptor ADORA2B ...
Jiamin Zhong, Jingyi Lu, Haopeng Li, Jun Zhong, Xiaobei Luo, Yiyi Hu, Xianfei Wang, Pengfei Wang, Yanning Zhang, Zhenjiang Wang, Qiuhua Lai, Zhenyu Chen, Wenting Mi, Wang Tin San‐to, Weize Li, Shuping Tan, Qihong Cheng, Ruijia Li, Yida Nie, Side Liu, Bing Huang, Zelong Han   +21 more
wiley   +1 more source

Exposing Provenance Metadata Using Different RDF Models

, 2015
A standard model for exposing structured provenance metadata of scientific assertions on the Semantic Web would increase interoperability, discoverability, reliability, as well as reproducibility for scientific discourse and evidence-based knowledge ...
Bodenreider, Olivier, Bolton, Evan, Dumontier, Michel, Fu, Gang, Furlong, Laura I., Nguyen, Vinh, Rosinach, Núria Queralt, Sheth, Amit   +7 more
core  

A Future Data Environment - reusability vs. citability and synchronisation vs. ingestion [PDF]

, 2012
During the last decades data managers dedicated their work to the pursuit for importable data. In the recent years this chase seams to come to an end while funding organisations assume that the approach of data publications with citable data sets will ...
Czerniak, Andreas, Fleischer, Dirk, Springer, Pina   +2 more
core  

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity

Advanced Science, EarlyView.
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini, Claudia Alvarez‐Martin, Paula Angermair‐Barkai, Olivier Penacchio, Marc Paz, Matthew Pelowski, Dan Dediu, Antoni Rodriguez‐Fornells, Xim Cerda‐Company   +8 more
wiley   +1 more source