Unboxing machine learning models for concrete strength prediction using XAI. [PDF]
Elhishi S, Elashry AM, El-Metwally S.
europepmc +1 more source
Behaviour of concrete filled stainless steel elliptical hollow sections [PDF]
This paper presents the behaviour and design of axially loaded concrete filled stainless steel elliptical hollow sections. The experimental investigation was conducted using normal and high strength concrete of 30 and 100 MPa. The current study is based
Burdett, M., Gardner, L., Lam, D.
core
This study demonstrates that iron overload triggers widespread chromatin compaction and transcriptional repression in human granulosa cells, recapitulating features of endometriosis. The epigenetic reprogramming is orchestrated by a TFEB‐SOX4‐SWI/SNF axis, with SOX4 acting as a central, dosage‐sensitive regulator.
Feifei Li +15 more
wiley +1 more source
Development and Promotion of Concrete Strength at Initial 24 Hours. [PDF]
Fan C, Qian J, Sun H, Fan Y.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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 +4 more
wiley +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
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 +10 more
wiley +1 more source
Key Parameters to Strength of an Adhesive Anchoring Systemin Uncracked and Cracked Concrete [PDF]
This study developed a 3D finite element model of an adhesive anchoring system to study key parameters including bond strength of adhesive, embedment depth and concrete strength, that affecting pull-out strength in uncracked and cracked concrete.
Griengsak Kaewkulchai
doaj
A Study to Improve the Reliability of High-Strength Concrete Strength Evaluation Using an Ultrasonic Velocity Method. [PDF]
Kim W, Lee T.
europepmc +1 more source
Concrete - filled steel tube columns - tests compared with Eurocode 4 [PDF]
This paper summarises the data from 1819 tests on concrete-filled steel tube columns and compares their failure load with the prediction of Eurocode 4. The full data is given on the website http://web.ukonline.co.uk/asccs2 .
Goode, C. D., Lam, D.
core
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
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 +5 more
wiley +1 more source

