Results 211 to 220 of about 1,914,522 (244)

A Machine Learning-Based Prognostic Model for Sepsis-Associated Liver Injury Using Routine Indicators. [PDF]

Med Princ Pract
Zhu W, Li J, Yang Y, Lv J, Chong H, Deng S.   +5 more
europepmc   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

Regression approaches for modeling genotype-environment interaction and making predictions into unseen environments. [PDF]

Theor Appl Genet
Hrachov M, Piepho HP, Rahman NMF, Malik WA.   +3 more
europepmc   +1 more source

Single‐ and Dual‐Atom Configurations in Atomically Dispersed Catalysts for Lithium–Sulfur Batteries

Advanced Functional Materials, EarlyView.
Single‐atom and dual‐atom‐based atomically dispersed catalysts (ADCs) effectively address the shuttle effect and sluggish redox kinetics in Li–S batteries. With nearly 100% atomic utilization and tunable coordination environments, ADCs enhance LiPSs adsorption, lower conversion barriers, and accelerate sulfur redox reactions.
Haoyang Xu, Zhenfeng Li, Yue Fei, Ali Mohammadi, Ge Li   +4 more
wiley   +1 more source

Development and interpretable machine learning models for classification of pancreatic pseudocyst risk in acute pancreatitis. [PDF]

Front Digit Health
Feng H, Wang P, He W, Shang L, Cui M, Wang K, An K, Zhang Y.   +7 more
europepmc   +1 more source

Structure Formation in Butterfly Scales: Interplay of Genetic Control, Mechanical Instabilities, and Dynamic Material Properties

Advanced Functional Materials, EarlyView.
Butterfly wing scales are intricate cuticular functional nanosctructures. This perspective suggests that spatially varying material properties, cytoskeletal constraints, and growth‐driven mechanical instabilities shape the resulting nanoscale architectures created from single cells.
Anupama Prakash, Victoria Lloyd, Yi Yang, Anna‐Lee Jessop, Anthony McDougal, Primož Pirih, Guillaume Duclos, Andrew Parnell, Mathias Kolle, Nicola J. Nadeau, Bodo D. Wilts   +10 more
wiley   +1 more source

EEFSA-SECM: an enhanced ensemble feature selection and stacking ensemble classifier to detect Parkinson's disease. [PDF]

Front Neurol
Rajput V, Maheswari N.
europepmc   +1 more source

Marginally Interpretable Spatial Logistic Regression With Bridge Processes. [PDF]

Stat Med
Lee CJ, Dunson DB.
europepmc   +1 more source

Modeling mechanical properties of rubberized concrete using gene expression programming (GEP) and random forest: a comparative study. [PDF]

Sci Rep
Sheraz M, Talha M, Alam M, Farhan M, Ul Haq Z, Rashid M, Alabduljabbar H, Ahmad F.   +7 more
europepmc   +1 more source

Determining a Likely Mechanism of Missingness in Repeated Measures Sleep Data From Wearable Fitness Trackers: Longitudinal Analysis.

JMIR Mhealth Uhealth
Mobley K, Gittner KB, Nielsen K, Matheny LM, Taasoobshirazi G, Natuhamya C, Swahn MH.   +6 more
europepmc   +1 more source