Results 201 to 210 of about 179,516 (314)

Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives

Agribusiness, EarlyView.
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza, Ibtissem Taghouti, José María Gil Roig   +2 more
wiley   +1 more source

Unsupervised data imputation with multiple importance sampling variational autoencoders. [PDF]

Sci Rep
Kuang S, Huang Y, Song J.
europepmc   +1 more source

Independent Prognostic Significance of Perforation in Colorectal Cancer: Insights From a Propensity Score‐Matched Cohort Study

Annals of Gastroenterological Surgery, EarlyView.
Perforated colorectal cancer (PCC) is considered to have a poor prognosis; however, it remains unclear whether this is attributable to perforation itself or to perforation‐related clinicopathological factors. In this study, we analyzed prognosis using propensity score matching with perforation‐related factors and demonstrated that perforation is an ...
Yoshiaki Fujii, Shuhei Ueno, Yoshinaga Aoyama, Hiroyuki Imafuji, Takahisa Hirokawa, Hirotaka Miyai, Masahiro Kimura, Kenji Kobayashi, Shuji Takiguchi   +8 more
wiley   +1 more source

Multifactor Risk Stratification for Post‐Transplant Alcohol Relapse Using Abstinence, Psychosocial, and Socioeconomic Factors

Annals of Gastroenterological Surgery, EarlyView.
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana, Garren Montgomery, Miho Akabane, Matthew Hamilton, Navdeep Singh, Musab Alebrahim, Austin Schenk, Sylvester Black, Kenneth Washburn, Khalid Mumtaz   +9 more
wiley   +1 more source

TphPMF: A microbiome data imputation method using hierarchical Bayesian Probabilistic Matrix Factorization. [PDF]

PLoS Comput Biol
Han X, Song K.
europepmc   +1 more source

Reaction kinetics model in liquid and solid phases and its parameterization for room temperature sodium–sulfur battery

AIChE Journal, EarlyView.
Abstract A multipore, multiphase, continuum model is assembled for the first time for room temperature sodium–sulfur (RT Na–S) batteries, with Na+ ion transport and redox reactions in the liquid electrolyte phase and semisolid phase of precipitates softened by the electrolyte solvent, as guided by molecular dynamics simulations in this study ...
Hakeem A. Adeoye, Allan Foster, John F. Watts, Constantina Lekakou   +3 more
wiley   +1 more source

Optimizing multi-omics data imputation with NMF and GAN synergy. [PDF]

Bioinformatics
Ansari MI, Ahmed KT, Zhang W.
europepmc   +1 more source

Comparison for alternative imputation methods for ordinal data : conference proceedings

, 2013
Federica Cugnata, Silvia Salini
openalex   +1 more source

Imputation of restricted data

, 2007
In dit proefschrift zijn verscheidene modellen ontwikkeld om ontbrekende bedrijfsgegevens, die veelal onderhevig zijn aanverschillende soorten lineaire beperkingen, te imputeren. Voorbeelden van beperkingen die kunnen voorkomen zijn het feit dat verschillende bedrijfslasten moeten optellen tot het totaal bedrijfslasten, het feit dat het aantal ...
openaire   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source