Results 131 to 140 of about 371,344 (316)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Device for Determining the Adherence by Shearing [PDF]

Bulletin of the Polytechnic Institute of Jassy: Constructions, Architechture Section, 2006
For determining the adherence stresses concrete-to-concrete a device for wrestling of added layer to the support is used, according to the Romanian norms.
Doina-Smaranda Nour, Marinela Bărbuţă
doaj  

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

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Experimental study of the effect of the thermal conductivity of EAF slag aggregates used in asphaltic concrete of wearing courses on the durability of road pavements [PDF]

, 2017
Electric Arc Furnace (EAF) steel slag is the basic material used to obtain good quality aggregates in different layers of road pavements. Many scientific papers have reported on the high frictional and abrasion resistance of this material.
Aponte Hernández, Diego Fernando, Barra Bizinotto, Marilda, Miró Recasens, José Rodrigo, Méndez Candelario, Braulio Aquilino, Valls del Barrio, Susanna, Vázquez Ramonich, Enric   +5 more
core  

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Considerations on the physical and mechanical properties of lime-stabilized rammed earth walls and their evaluation by ultrasonic pulse velocity testing [PDF]

, 2018
This study examines the influence of moulding moisture content on the compressive strength, dry density and porosity of a rammed earth wall, using ultrasound as a complementary technique.
Alejandre Sánchez, Francisco Javier, Canivell, Jacinto, García Heras, Joaquín, Jiménez Aguilar, Alberto, Martín del Río, Juan Jesús   +4 more
core  

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

High-Performance Capacitive Ultrasonic Transducer for Non-Destructive Testing of Concrete Compressive Strength

Sensors
Ultrasonic non-destructive testing is indispensable for assessing the compressive strength of concrete and is widely utilized in concrete structure health monitoring.
Wangyang Zhang, Jiaqian Yang, Lei Ren, Hanjie Dou, Xianglong Chen, Haoliang Jia, Yuchen Mao, Jixuan Zhang, Wanyu Xu, Hong Zhou, Xiaojing Mu   +10 more
doaj   +1 more source

Determination of strength characteristics of concrete specimens

, 2012
In the present report are being discussed the results of an experimental test regarding the compressive properties of sample concrete specimens. The investigation has been conducted in the laboratory of CER LITEM – Department of RMEE of UPC. 2. Objectives To determine the ultimate compressive strength of the concrete specimens.
openaire   +1 more source