Results 51 to 60 of about 36,819 (212)

Deep Learning‐Driven Discovery and Engineering of an Efficient PETase for Depolymerization and Detoxification of PET Microplastics Under Physiological Conditions

Advanced Science, EarlyView.
A deep learning–driven pipeline mining 246 million protein sequences uncovers AhPETase, an evolutionarily distinct PET hydrolase. Engineered variant AhPETaseM1 degrades post‐consumer PET microplastics under physiological conditions and reverses microplasticinduced cytotoxicity in human lung and colon cells, establishing enzymatic microplastic ...
Yuxuan Wang, Shijie He, Yuheng Chang, Sheng Mao, Jianan Canal Li, Binbin Chen, Hongxun Gao, Mingchun Xu, Chenxu Liu, Yajie Wang   +9 more
wiley   +1 more source

Mit MEDPILOT auf dem Weg ins Semantic Web [On the way to semantic web – with MEDPILOT]

GMS Medizin – Bibliothek – Information, 2012
[english] Since 2001 MEDPILOT has developed from a usual virtual library to a powerful portal for medicine and health sciences. Today the local catalogues of the ZB MED are integrated with external databases to a unified discovery interface. This article
Poley, Christoph
doaj   +1 more source

Spatiotemporal Multi‐Omic Mapping Reveals Liver‐Muscle Metabolic Crosstalk in Cancer Cachexia

Advanced Science, EarlyView.
The interactive CCAtlas platform delineates cross‐species, spatiotemporal, and sex‐specific molecular dynamics and metabolic rewiring across organs during cancer cachexia. Hepatic Gamt downregulation curtails hepatic creatine synthesis to trigger systemic creatine insufficiency and consequent skeletal muscle atrophy in LLC tumour‐bearing mice ...
Zihan Tian, Qianyu Wang, Wenyan Gao, Xianfeng Li, Jiawen Fan, Xiaoliang Wu, Siqi Liu, Xiangdong Ming, Danna Yeerken, Mutian Shen, Qingjie Min, Qimin Zhan, Yan Wang   +12 more
wiley   +1 more source

A NOVEL USER PROFILE-BASED FUZZY APPROACH FOR EVALUATING TRUST IN SEMANTIC WEB

International Islamic University Malaysia Engineering Journal, 2019
: As a developed World Wide Web architecture, the Semantic Web collects traditional web contents with a formal and understandable semantic using a machine.
SOMAYEH ASHTARI, MALIHE DANESH, hossein shirgahi   +2 more
doaj   +1 more source

Towards a Compositional Framework for Describing Human Phenotypes

Advanced Science, EarlyView.
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu, Yunchao Ling, Xinyue Hu, Wei Chen, Rong Zhou, Xinhao Zhuang, Yanfeng Jiang, Jialu Zhao, Xingdong Chen, Jingchun Luo, Li Jin, Guoqing Zhang   +11 more
wiley   +1 more source

Ontology Supported Information Systems: A Review

Journal of Information Science Theory and Practice, 2014
The exponential growth of information on the web far exceeds the capacity of present day information retrieval systems and search engines, making information integration on the web difficult.
Padmavathi, T., Krishnamurthy, M.
doaj   +1 more source

Consumer Acceptance of New Sustainable Food Technologies: Upcycling Technology, Biostimulants, and Artificial Intelligence

Agribusiness, EarlyView.
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley   +1 more source

Der nächste Schritt? Semantic Web und digitale Editionen

Zeitschrift für digitale Geisteswissenschaften, 2018
Digital editions in the semantic web? This paper explores the question of the relevance and further development of semantic technologies in digital editions in the arts and humanities.
Jörg Wettlaufer
doaj   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source