Results 131 to 140 of about 62,585 (293)

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

Advanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang, Abudukadi Tudi, Ran An, Zhihua Yang   +3 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Digital Surface‐Enhanced Raman Scattering With Event Counting and Spectrum Learning for Label‐Free Protein Quantification

Advanced Intelligent Systems, EarlyView.
A statistical and machine learning‐assisted surface‐enhanced Raman scattering (SERS) framework is developed for label‐free quantification of low‐abundance analytes, including proteins. Combining digital SERS event counting with binomial regression and an artificial neural network (ANN) trained on full spectra, the approach achieves picomolar detection ...
Eni Kume, James Rice
wiley   +1 more source

Optimal shrinkage estimation in heteroscedastic hierarchical linear models

, 2015
Shrinkage estimators have profound impacts in statistics and in scientific and engineering applications. In this article, we consider shrinkage estimation in the presence of linear predictors.
Kou, Samuel, Yang, Justin J.
core  

Profiling Co‐Occurrent Morphological Phenotypes and Their Degree of Expression Severity in Vacuolated Cells by Holo‐Tomographic Flow Cytometry and Fractal Analysis

Advanced Intelligent Systems, EarlyView.
HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino, Giusy Giugliano, Daniele Pirone, Fabrizio Licitra, Fulvia Vitale, Pasquale Memmolo, Lisa Miccio, Massimo D’Agostino, Pietro Ferraro, Vittorio Bianco   +9 more
wiley   +1 more source

Causal analysis of trade loss from pathogens: A global study of foot and mouth disease impacts on meat exports

American Journal of Agricultural Economics, EarlyView.
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman, Thomas L. Marsh   +1 more
wiley   +1 more source

Revisiting superiority and stability metrics of cultivar performances using genomic data: derivations of new estimators

Plant Methods
The selection of highly productive genotypes with stable performance across environments is a major challenge of plant breeding programs due to genotype-by-environment (GE) interactions.
Humberto Fanelli Carvalho, Simon Rio, Julian García-Abadillo, Julio Isidro y Sánchez   +3 more
doaj   +1 more source

ECONOMETRIC MODEL OF FIRM’S VALUE IN LIQUID MARKET: CASE OF INDONESIA

Matrik, 2012
The research aims to investigate variables affecting Tobin’s Q which represents the value of public  companies listed on LQ45 Index on the Indonesia Stock Exchange by developing a  BLUE(Best Linear UnbiasedEstimators) econometric model for cross ...
Putu Agus Ardiana
doaj  

Multivariate Analysis of Hematological Stress Biomarkers and Welfare Domains in Organic and Intensive Pig Farming in Italy: A Pilot Study

Animal Research and One Health, EarlyView.
Intensive or organic farming systems may expose pigs to management or environmental challenges. Our preliminary results concluded that organic farming might enhance adaptive immune function, showing that improvements in welfare can translate into measurable immunological benefits, based on the correlation between welfare assessment and physiological ...
Dorotea Ippolito, Talal Hassan, Antonio Marco Maisano, Stefania Bergagna, Cecilia Guasco, Barbara Miniscalco, Martina Tarantola, Elena Colombino, Claudio Caruso, Ahsan Muhammad, Silvia Mioletti, Laura Tomassone, Massimiliano Tursi, Cristina Vercelli, Giovanni Loris Alborali, Maria Teresa Capucchio   +15 more
wiley   +1 more source