Results 161 to 170 of about 2,981,303 (285)

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

A KL-divergence-based test for elliptical distribution. [PDF]

J Nonparametr Stat
Tang Y, Ma Y, Li B.
europepmc   +1 more source

Two Routes to Land: Genomic Underpinnings of Parallel Aerial Egg Deposition in Aquatic Old‐World Pila and New‐World Pomacea (Ampullariidae)

Advanced Science, EarlyView.
Comparative genomics of Gondwana‐diverged Pila and Pomacea reveals parallel evolution of aerial oviposition. Convergent chromosomal rearrangements reshape regulatory landscapes within topologically associating domains. Lineage‐specific gene family expansions and viral‐derived perivitelline proteins (PV1) underpin desiccation resistance.
Yufei Zhou, Huawei Mu, Xueying Nie, Yue Gao, Hui Wang, Ling Fang, Tiangang Luan, Monthon Ganmanee, Jian‐Wen Qiu, Jin Sun, Jack Chi‐Ho Ip   +10 more
wiley   +1 more source

A Multipurpose Study of BaZrS₃ and BaHfS₃: Absolute Entropies, Thermal Decomposition, and Prediction of Intrinsic and Extrinsic Thermodynamic Stability. [PDF]

J Phys Chem C Nanomater Interfaces
Gibson A, Ciccioli A, Parkinson N, Testa R, Di Conzo C, Rossi M, Latini A, Vecchio Ciprioti S, Yetkin HA, Dale PJ, Woodfield B, Romagnoli L.   +11 more
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Engineering Approaches to Modify Immunomodulatory Functions of Mesenchymal Stromal Cells (MSCs): Tissue Regeneration and Clinical Application

Advanced Science, EarlyView.
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang, Kejia Li, Ning Wang, Zhen Li, Zhiyong Zhang, Rocky S. Tuan, Yangzi Jiang   +6 more
wiley   +1 more source

Enhancing Maturation of Human Neuromuscular Organoids via Electrical Stimulation

Advanced Science, EarlyView.
A framework for on‐demand and non‐invasive exposure of human neuromuscular organoids (NMOs) to electrical stimuli is established to promote their maturation. The robustness and effectiveness of different stimulation regimes are evaluated via thorough characterization of organoid tissue structure and contraction capacity. Chronic electrical stimulation,
Chrysanthi‐Maria Moysidou, Inês Afonso Martins, Ismail Amr El‐Shimy, Iacopo Bicci, Donatella Cea, Christina Bukas, Isra Mekki, Mara‐Camelia Rusu, Aylin Nebol, Ines Lahmann, Marie Piraud, Enrico Klotzsch, Mina Gouti   +12 more
wiley   +1 more source

Thermodynamics-Informed Machine Learning of Organic Electrode Material Solubility in Nonaqueous Electrolytes. [PDF]

J Phys Chem B
Houser AM, Muthyala MR, Sorourifar F, Xu J, Paulson JA, Zhang S.   +5 more
europepmc   +1 more source

Personalized Network‐Guided Neuromodulation Enhances Human Working Memory

Advanced Science, EarlyView.
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan, Hongming Li, Camille Blaine, Julie Grier, Ethan Hammett, Almaris Figueroa‐Gonzalez, Sarai Garcia, Romain Duprat, Justin Reber, Joseph Deluisi, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan, Desmond J. Oathes   +13 more
wiley   +1 more source

Entropy comparison of benzothiadiazole-based covalent-organic frameworks. [PDF]

Front Chem
Kurian S, Roy S, Gayathri KB, Jyothish K.   +3 more
europepmc   +1 more source