Results 91 to 100 of about 54,472 (289)

Multi-ensemble machine learning framework for omics data integration: A case study using breast cancer samples

Informatics in Medicine Unlocked
Integration of voluminous omics data aids to unravel biological complexities associated with different disease phenotypes. Machine learning (ML) approaches provide insightful techniques for systematic multi-omics data integration. In this study, survival
Kunal Tembhare, Tina Sharma, Sunitha M. Kasibhatla, Archana Achalere, Rajendra Joshi   +4 more
doaj   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Charting the Path to Increased Oil Palm Output in Ghana Beyond Area Expansion: Technology or Managerial Capacity — Which Leads the Way?

Agribusiness, EarlyView.
ABSTRACT This study sets out to investigate the prospects for raising oil palm output in sub‐Saharan Africa, particularly Ghana, without further expansion of cropland. Given global concerns about oil palm's role in deforestation and land use change, the focus is on enhancing productivity on existing farmlands.
Jacob Asravor, Francis Tsiboe, Ayobami Adetoyinbo, Jacob Ankamah   +3 more
wiley   +1 more source

Plasma Immunoglobulin A and intestinal ultrasound: Novel indicators for disease activity monitoring in inflammatory bowel disease—Insights from a Taiwan cohort

Advances in Digestive Medicine, EarlyView.
Abstract Intestinal ultrasound (IUS) is a non‐invasive imaging method used to evaluate bowel wall inflammation and monitor disease activity in inflammatory bowel disease (IBD) patients. Both the European Crohn's and Colitis Organization and the American Gastroenterological Association endorse IUS for monitoring disease activity and identifying ...
Yu‐Lin Chen, Cheng‐Kuo Chen, Po‐Ju Huang, Hsing‐Hung Cheng, Wang‐De Hsiao, Pin‐Chun Huang, Tsung‐Lin Hsieh, Jia‐Sheng Wen, Tsung‐Yu Tsai   +8 more
wiley   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

Advanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen, Chiku Parida, Jonas Busk, Jin Hyun Chang, Arghya Bhowmik, Juan Maria Garcia Lastra   +5 more
wiley   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Study on SAP with different absorption capacities and its effects on Self Curing HPC

, 2020
V Poornima, R. Venkatasubramani, V. Sreevidya, Vaishnao Vignesh, K Adithan   +4 more
openalex   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Practical Resource Usage Prediction Method for Large Memory Jobs in HPC Clusters [PDF]

, 2019
Xiuqiao Li, N. D. Qi, Yuanyuan He, Bill Mcmillan   +3 more
openalex   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source