Results 161 to 170 of about 176,187 (274)

A hybrid machine learning approach for reliably predicting surface roughness in CNC turning operations. [PDF]

Sci Rep
Yurtkuran H, Demirtaş G, Alpsalaz F, Uzel H, Zaitsev I.   +4 more
europepmc   +1 more source

Indirubin and Retinoic Acid Show Binding Affinity to Monocyte Biomarker CSF3R in Parkinson's Disease

Journal of Clinical Laboratory Analysis, EarlyView.
Through single‐cell RNA‐sequencing and high‐dimensional weighted gene co‐expression network analysis, two monocyte‐related biomarkers (CSF3R, IFITM3) were identified in the peripheral blood of Parkinson's disease. Molecular docking revealed two targeted drugs (Indirubin and Retinoic acid).
Zhiwei Bao, Shao Zhi, Mao Jie
wiley   +1 more source

Handling Missing Race and Ethnicity in an EHR-Based Study Through Integration of Individual Measures and Neighborhood Sociodemographic and Socioeconomic Measures. [PDF]

Microorganisms
Li C, Mosaddegh A, Immergluck L, Owusu S, Chowdhury SF, Baltrus P.   +5 more
europepmc   +1 more source

Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms

Journal of Intelligent Medicine, EarlyView.
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He, Nan Su, Yuqing Wang, Yulin Sun, Xin Weng, Tania Pereira, Chenggong Hu, Keliang Xie, Meijun Pang, Kuo Zhang, Chuanxiang Huang, Xiuyun Liu   +11 more
wiley   +1 more source

Improving road safety in smart cities using machine learning techniques. [PDF]

Sci Rep
Abid MS, Hussain M, Nabi S, Sehar T, Hussain D, Gu YH.   +5 more
europepmc   +1 more source

Failure Investigation of Alloy 625 Sockolets After Prolonged Service in an Ammonia Cracker Unit

Materials and Corrosion, EarlyView.
The failure of the sockolets was caused by intergranular cracking and fracture. The thick and highly brittle nitrided layer formed intergranular surface cracks, which propagated along grain boundaries into the base alloy substrate due to the presence of brittle Cr‐rich carbides. ABSTRACT Several sockolets of Alloy 625 operating at 540°C in contact with
Kamlesh Chandra, N. Naveen Kumar, Niraj Kumar   +2 more
wiley   +1 more source

Multiscale Structural Modulation and Synergistic Enhancement of Transparency and Relaxor Behavior in La³⁺-Doped KNN Lead-Free Ceramics. [PDF]

Nanomaterials (Basel)
Yang X, Wang L, Luo L, Wu W, Wu B, Li J, Li J, Zeng T, Xia G.   +8 more
europepmc   +1 more source

Heart Disease Prediction Using Extended KNN(E-KNN)

International Journal of Advanced Trends in Computer Science and Engineering, 2020
openaire   +1 more source

The Rise of Human–Computer Integration in Marketing: A Theory Synthesis

Psychology &Marketing, EarlyView.
ABSTRACT Human–computer integration (HCInt) technologies, which merge human bodily, cognitive, and sensory functions with computational processes, are reshaping the foundations of consumer experience. Unlike traditional human–computer interaction, HCInt entails adaptive and reciprocal coupling through AI‐driven augmentation, wearables, muscle–computer ...
Carlos Velasco, Kosuke Motoki, Olivia Petit, Aram Nikolai Andersen, Marzieh Alaei, Anders Gustafsson   +5 more
wiley   +1 more source

Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning

Macromolecular Rapid Communications, EarlyView.
Machine‐learning (ML) techniques using random forest classification models revealed key characteristics that predict effective antimicrobial peptides (AMPs) targeting Gram‐negative bacteria, Gram‐positive bacteria, and mycobacteria. The ideal cLogP (<$ < $−6) and net‐charge (≤+4) threshold was the same for all three targets with variations in the ...
Jooyoung Roh, Cyrille Boyer, Priyank V. Kumar   +2 more
wiley   +1 more source