Results 71 to 80 of about 184,822 (218)

Mechanistic Control of C─H Bond Activation and C─C Coupling in Light‐Driven Methane Conversion to C2+ Products over Multifunctional Photocatalysts

Advanced Functional Materials, EarlyView.
Methane photocatalytic activation under mild conditions remains a formidable challenge in the synthesis of solar fuels. In this review, we emphasize the growing importance of multifunctional materials and hybrid systems within a unified mechanistic framework that integrates selective C─H bond activation, formation and control of intermediates, C─C ...
Di Hu, Yuheng Jiang, Vitaly V. Ordomsky, Bastian Mei, Zhiyong Tang, Andrei Y. Khodakov   +5 more
wiley   +1 more source

Congestion Control Prediction Model for 5G Environment Based on Supervised and Unsupervised Machine Learning Approach

IEEE Access
With the emergence of 5G technology, congestion control has become a vital challenge to be addressed in order to have efficient communication. There are several congestion control models that have been proposed to control and predict the possible ...
Mohammed B. Alshawki, Ihab Ahmed Najm, Alaa Khalaf Hamoud   +2 more
doaj   +1 more source

Polymer Substrates for Flexible Sensors: Advances and Contributions to Smart Agriculture

Advanced Functional Materials, EarlyView.
This review comprehensively summarizes recent advances in polymer‐based flexible sensors for smart agriculture, focusing on polymer substrate design, interface engineering, and applications in soil, plant, animal, aquaculture, and post‐harvest monitoring.
Yihui Li, Zhangzheng Xiao, Zheng Yan, Adnan Raza Altaf, Qun Song, Dingding Yao, Afshan Sohail, Yixin Wang, Wenxiu Ma, Shanjun Li, Yaohui Chen, Peiwen Liu, Kai Zhang   +12 more
wiley   +1 more source

Management strategies and technological innovation in agribusiness: Optimization with Machine Learning (ML)

Panorama Económico
Background and objectives: In the face of increasing digitalization and the need to adapt to environmental and economic challenges, technological innovation plays a crucial role in strengthening the competitiveness and sustainability of agribusinesses ...
Anibal Toscano Hernandez, Jaime Hernández Burgos, Humberto Narváez Mejía   +2 more
doaj   +1 more source

High‐Throughput Digital Decoding of Vascular Heterogeneity in Patient‐Specific Tumor Microenvironments

Advanced Healthcare Materials, EarlyView.
ABSTRACT Quantitative characterization of vascular heterogeneity in complex microphysiological systems (MPS), particularly within patient‐derived tumor microenvironments, remains a major challenge for scalable disease modeling and therapeutic evaluation.
Jungseub Lee, Wooju Park, Sujin Hyung, Sangmin Jung, Kyungho Lee, Junseok Jeon, Noo Li Jeon, Jeeyun Lee, Hye Ryoun Jang, Jihoon Ko   +9 more
wiley   +1 more source

AI without borders: The rise of cross-disciplinary machine learning

Telematics and Informatics Reports
This literature review thoroughly analyzes Machine Learning (ML) algorithms, their applications in many fields, current developments, and interdisciplinary viewpoints.
Aji Prasetya Wibawa, Roni Herdianto, Anik Nur Handayani, Agung Bella Putra Utama, Aripriharta, Felix Andika Dwiyanto, Rafal Drezewski   +6 more
doaj   +1 more source

Engineering Nanoplatforms for Alzheimer's Disease Detection via Biomolecular Corona Proteomic and Lipidomic Profiling

Advanced Healthcare Materials, EarlyView.
Engineered nanoparticles capture disease‐specific biomolecular coronas that uncover hidden molecular features of Alzheimer's disease. Combined proteomic and lipidomic analyses reveal a characteristic shift in ribosomal machinery and energy metabolism, generating a multiomic fingerprint that supports accurate disease detection and opens new ...
Antonietta Greco, Roberto Baretta, Andrea Di Fonzo, Andrea Armirotti, Stefano Cinti, Mara Mirasoli, Marco Frasconi, Claudia Corbo   +7 more
wiley   +1 more source

ML-NIC: accelerating machine learning inference using smart network interface cards

Frontiers in Computer Science
Low-latency inference for machine learning models is increasingly becoming a necessary requirement, as these models are used in mission-critical applications such as autonomous driving, military defense (e.g., target recognition), and network traffic ...
Raghav Kapoor, David C. Anastasiu, Sean Choi   +2 more
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Stability of Medicinal Nanoemulsions to Spaceflight: Insights From the StarMed Experiment

Advanced Healthcare Materials, EarlyView.
Chitosan‐coated melatonin nanoemulsions (MN) recovered from a sounding rocket mission preserve droplet size and controlled‐release behavior, whereas uncoated nanoemulsions show ageing‐driven droplet growth and increased accessible drug fraction. Simple polymer coatings thus enhance the flight resilience of liquid space medicines under cumulative launch
Modupe Adebowale, Nguyen Van Duc Long, Philip M. Williams, Jens Hauslage, Volker Hessel   +4 more
wiley   +1 more source