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741
Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases
Published 2024-12-01“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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742
mdciao: Accessible Analysis and Visualization of Molecular Dynamics Simulation Data.
Published 2025-04-01“…We present mdciao, an open-source command line tool and Python Application-Programming-Interface (API) for easy, one-shot analysis and representation of molecular dynamics (MD) simulation data. …”
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743
Prediction of new candidate proteins and analysis of sub-modules and protein hubs associated with seed development in rice (Oryza sativa) using an ensemble network-based systems bi...
Published 2025-05-01“…Using a list of known seed development proteins from the Gene Ontology (GO) knowledgebase and literature, novel candidate proteins for seed development were predicted using an ensemble of network-based algorithms, including Majority Voting, Hishigaki Algorithm, Functional Flow, and Random Walk with Restart, which were selected based on their popularity and usability. …”
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744
21 Balmer Jump Street: The Nebular Continuum at High Redshift and Implications for the Bright Galaxy Problem, UV Continuum Slopes, and Early Stellar Populations
Published 2025-07-01“…Second, we present a dataset of 58 galaxies observed with NIRSpec on JWST at $2.5<z<9.0$ that are selected to have strong nebular continuum emission via the detection of the Balmer jump. …”
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745
Real-World Efficacy of Explainable Artificial Intelligence using the SAGE Framework and Scenario-Based Design
Published 2024-12-01“…The first of its kind, it leverages three distinct but complementary frameworks to support a user-centric and context-sensitive, post-hoc explanation for fraud detection. Using the principles of scenario-based design, it amalgamates two independent real-world sources to establish a realistic card fraud prediction scenario. …”
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746
TOPSIS method-based decision-making model for bipolar quadripartitioned neutrosophic environment
Published 2025-06-01“…In the domain of renewable energy, selecting the most suitable energy source involves navigating complex decision-making processes influenced by multiple criteria and inherent uncertainties. …”
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747
Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier
Published 2025-03-01“…Thus to design an effective PQD recognition system, this paper proposes a novel time-frequency analysis method based on adaptively fast complementary ensemble local mean decomposition (AFCELMD) technique that decomposes the multicomponent PQD signal into a series of demodulated product functions (PFs). Out of the several PFs the most sensitive one is selected adaptively and used for feature extraction and classification through a deep stacked auto-encoder (dSAE) hybridized with a time-recursive bi-directional long short term memory (BiLSTM) network classifier. …”
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748
Accelerated Modeling of Transients in Electromagnetic Devices Based on Magnetoelectric Substitution Circuits
Published 2025-01-01“…The purpose of the work: The objective of this work is to develop a highly effective method for calculating electromagnetic transient processes in a coil with a ferromagnetic magnetic core connected to a voltage source. The method involves the use of nonlinear magnetoelectric substitution circuits for electromagnetic devices and a spectral method for representing solution functions using orthogonal polynomials. …”
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749
The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control
Published 2024-01-01“…Firstly, the system can proactively capture and integrate heterogeneous surveillance data from multiple sources. Based on these multi-channel data, users can select appropriate warning indicators and AI models to automatically trigger early warnings. …”
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750
Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm.
Published 2025-01-01“…The algorithm then uses hybrid clustering methods for gene module detection. Finally, it combines integrated feature selection methods to determine the gene biomarkers. …”
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751
The influence of genetics on the endocannabinoid system gene expression and relevance for targeting reproductive conditions
Published 2025-05-01“…Abstract Background Endocannabinoids are small lipid molecules that have critical roles in cellular proliferation and function. They are produced locally with their concentrations controlled via the endocannabinoid system (ECS). …”
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752
Impact of health literacy in patients with chronic musculoskeletal disease--systematic review.
Published 2012-01-01“…We assessed risk of bias from participant selection, methods of measuring health literacy and functional outcomes, missing data, and potential for confounding.…”
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753
Aperçu sanitaire et architectural des bâtiments de transit pour les émigrants européens
Published 2017-02-01“…They were designed for the reception of the candidates for emigration, their selection, disinfection, control, export or repatriation. …”
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754
Bioluminescence and environmental light drive the visual evolution of deep-sea shrimp (Oplophoroidea)
Published 2025-02-01“…In pelagic environments, vertically migrating animals can experience drastic changes to their lighting environment across depth, subjecting them to unique selective pressures, possibly to distinguish between changes in ambient light and bioluminescent sources. …”
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755
T cell-related diagnostic model and the underlying mechanism related to PRF1-mediated glycolysis in sepsis: evidences from single-cell, bulk transcriptomics, and experiment validat...
Published 2025-08-01“…Methods Through downloading the single-cell RNA-sequencing (scRNA-seq) and RNA-seq data from online source, a series of bioinformatics methods including principal component analysis (PCA), differential expression analysis, and least absolute shrinkage and selection operator (LASSO) was used for selection of the T cell-related signatures. …”
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756
FORECASTING THE GROUNDWATER LEVEL OF CEMENT RAW MATERIALS DEPOSIT BASED ON DYNAMIC NEIGHBORHOOD MODELS
Published 2018-09-01“…After the parametric identification on the teaching data selection, the mathematical model is checked on the test sample.Discussion and Conclusions. …”
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757
Evaluation of the coupling coordination effect of Hefei Rail transit station area based on supply and demand matching.
Published 2025-01-01“…The coupling of supply and demand in the rail transit station area is an important driving force for ensuring the balanced development between the traffic functions and the place performance of the rail transit station area. …”
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758
Optimization of Adversarial Reprogramming for Transfer Learning on Closed Box Models
Published 2025-01-01“…While it has been shown that this concept can work well in image classification, and a further modification has been developed to classify time series features, this work focuses primarily on the remaining key challenges such as the selection and comparison of appropriate loss functions, the optimisation of hyperparameters using Bayesian methods, and data labelling in the absence of ground truth. …”
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759
Strategies for Construction and Optimization of the Ecological Security Pattern for Human Settlements in the Wuding River Basin
Published 2025-04-01“…These ecological sources are predominantly concentrated in the southeastern region, where arboreal forests play a crucial role in maintaining ecological functions. …”
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760
mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms
Published 2024-12-01“…It provides functions for various tasks such as dereplication, clustering, chimera detection, and taxonomic assignment. …”
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