Results 111 to 120 of about 190,253 (294)

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

ESTIMATION OF HERITABILITY AND PREDICTED GENOTYPE MEAN FOR SEED YIELD OF CASTOR (RICINUS COMMUNIS L.) USING BEST LINEAR UNBIASED PREDICTION (BLUP) [PDF]

Journal of Plant Development, 2017
Eighty six castor genotypes were evaluated to estimate heritability and predicted genotype mean for seed yield and its component traits. The genotypes were planted at three locations using incomplete block experimental design with three replications. The
Bolaji Zuluqurineen SALIHU, Ahmed Olamide FALUSI, Andrew Saba GANA, Matthew Omoniyi ADEBOLA, Oladipupo Yusuf DAUDU   +4 more
doaj  

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

Energy-Efficient Soft Real-Time Scheduling for Parameter Estimation in WSNs

International Journal of Distributed Sensor Networks, 2013
In wireless sensor networks (WSNs), homogeneous or heterogenous sensor nodes are deployed at a certain area to monitor our curious target. The sensor nodes report their observations to the base station (BS), and the BS should implement the parameter ...
Senlin Zhang, Zixiang Wang, Meikang Qiu, Meiqin Liu   +3 more
doaj   +1 more source

RPSLearner: A Novel Approach Based on Random Projection and Deep Stacking Learning for Categorizing Non‐Small Cell Lung Cancer

Advanced Intelligent Systems, EarlyView.
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

"Non-minimaxity of Linear Combinations of Restricted Location Estimators and Related Problems" [PDF]

The estimation of a linear combination of several restricted location parameters is addressed from a decision-theoretic point of view. The corresponding linear combination of the best location equivariant and the unrestricted unbiased estimators is ...
Tatsuya Kubokawa, William E. Strawderman
core  

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

Animal‐mediated seed dispersal: A review of study methods

Applications in Plant Sciences, EarlyView.
Abstract By dispersing seeds, animals provide ecological functions critical for the ecology, evolution, and conservation of plants. We review quantitative and empirical approaches and emerging technologies to quantify processes and patterns of animal‐mediated seed dispersal (zoochory) across its phases: from predispersal to postdispersal.
Noelle G. Beckman, Erin K. Kuprewicz, Binod Borah, James M. Bullock, Amanda S. Gallinat, Juan P. González‐Varo, Abir Jain, Jun Ying Lim, Carina I. Motta, Omer Nevo, Haldre S. Rogers   +10 more
wiley   +1 more source

Genomic evaluation for breeding and genetic management in Cordia africana, a multipurpose tropical tree species

BMC Genomics
Background Planting tested forest reproductive material is crucial to ensure the increased resilience of intensively managed productive stands for timber and wood product markets under climate change scenarios.
Kedra M. Ousmael, Eduardo P. Cappa, Jon K. Hansen, Prasad Hendre, Ole K. Hansen   +4 more
doaj   +1 more source

The Impact of Nonsteroidal Anti‐Inflammatory Drugs on Radiographic Spinal Progression in Patients With Axial Spondyloarthritis: 10‐Year Results From an Inception Cohort

Arthritis &Rheumatology, EarlyView.
Objective This study aims to investigate the impact of nonsteroidal anti‐inflammatory drug (NSAID) intake on radiographic spinal progression in axial spondyloarthritis (axSpA), considering different NSAID types (COX‐2 inhibitors [COX2i] and nonselective NSAIDs [ns‐NSAIDs]) and disease subgroups (radiographic [r‐axSpA] and nonradiographic [nr‐axSpA ...
Murat Torgutalp, Valeria Rios Rodriguez, Fabian Proft, Mikhail Protopopov, Judith Rademacher, Hildrun Haibel, Joachim Sieper, Martin Rudwaleit, Denis Poddubnyy   +8 more
wiley   +1 more source