Results 121 to 130 of about 62,585 (293)

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

New important developments in small area estimation

, 2010
The purpose of this paper is to review and discuss some of the new important developments in small area estimation (SAE) methods. Rao (2003) wrote a very comprehensive book, which covers all the main developments in this topic until that time and so the ...
Pfeffermann, Danny
core  

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

PENGARUH VARIABEL ASET LANCAR, DEBT TO TOTAL ASSETS, UMUR, DAN JUMLAH ANGGOTA TERHADAP RENTABILITAS EKONOMI DI KOPERASI SIMPAN PINJAM DAN KOPERASI KREDIT DI KECAMATAN BULELENG, KABUPATEN BULELENG: SEBUAH PEMODELAN EKONOMETRIKA

Jurnal Ilmiah Akuntansi dan Bisnis, 2010
This paper aims to investigate independent variables affecting profitabilityof cooperatives in Buleleng, Bali proxied by a ratio of earnings and total assetsthrough an econometric modeling.
Putu Agus Ardiana, Luh Kartini Eka Sari
doaj  

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Single‐Injection Multi‐Omics Analysis by Direct Infusion Mass Spectrometry

Angewandte Chemie, EarlyView.
A high‐throughput direct infusion mass spectrometry platform, enabled by gas‐phase ion mobility separation, supports single‐injection analysis of peptides, polar metabolites, and lipids. Coupled with custom software, it identified ∽1,300 proteins and ∽600 metabolites in ∽4.3 minutes per sample, and demonstrated broad utility in macrophage polarization ...
Yuming Jiang, Ivan Salladay‐Perez, Amanda Momenzadeh, Jesús Muñoz‐Estrada, Uktarsh Tripathi, Anthony J. Covarrubias, Jesse G. Meyer   +6 more
wiley   +2 more sources

PEMODELAN EKONOMETRIKA AGRESIVITAS PEMBERIAN KREDIT DI BANK PERKREDITAN RAKYAT

Jurnal Ilmiah Akuntansi dan Bisnis, 2011
This paper aims to investigate independent variables affecting loanaggressiveness of rural banks proxied by the growth of loan through aneconometric modeling.
Putu Agus Ardiana, Ni Putu Indah Purnama Sari   +1 more
doaj  

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

Advanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula, Lynnicia N. Massenburg, Spenser R. Brown, Amber N. Bible, Chanda R. Harris, Lance X. Zhang, Kiara Parker, Scott T. Retterer, Jennifer L. Morrell‐Falvey, Rama K. Vasudevan, Alexis N. Williams   +10 more
wiley   +1 more source

The Best Linear Unbiased Estimator for Continuation of a Function

, 2010
We show how to construct the best linear unbiased predictor (BLUP) for the continuation of a curve in a spline-function model. We assume that the entire curve is drawn from some smooth random process and that the curve is given up to some cut point. We demonstrate how to compute the BLUP efficiently. Confidence bands for the BLUP are discussed. Finally,
Goldberg, Yair, Ritov, Ya'acov, Mandelbaum, Avishai   +2 more
openaire   +2 more sources