-
801
Accelerating two-dimensional electronic spectroscopy simulations with a probe qubit protocol
Published 2025-05-01“…We evaluate the computational resources necessary for this protocol in detail, demonstrating its function as a dynamic frequency-filtering method through numerical simulations. …”
Get full text
Article -
802
-
803
Methods to account for incomplete viewsheds in distance sampling
Published 2025-06-01Get full text
Article -
804
A survey on the applications of transfer learning to enhance the performance of large language models in healthcare systems
Published 2025-06-01“…This research analyzes different transfer learning methods, including inductive, transductive, and unsupervised techniques, while demonstrating their effectiveness in detecting COVID-19 from chest X-rays and multi-source disease evaluation. …”
Get full text
Article -
805
Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction
Published 2025-04-01“…Software defect detection is a critical research topic in the field of software engineering, aiming to identify potential defects during the development process to improve software quality and reduce maintenance costs. …”
Get full text
Article -
806
Application and Suggestions of Morpholine Ring as a Lysosome Targeting Group
Published 2025-05-01Get full text
Article -
807
Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images
Published 2024-12-01Get full text
Article -
808
Restoration of Turbid Underwater Images of Cobalt Crusts Using Combined Homomorphic Filtering and a Polarization Imaging System
Published 2025-02-01“…Marine cobalt-rich crusts, extensively used in industries such as aerospace, automotive, and electronics, are crucial mineral resources located on the ocean floor. To effectively exploit these valuable resources, underwater imaging is essential for real-time detection and distribution mapping in mining areas. …”
Get full text
Article -
809
-
810
Glowing Green: A Quantitative Analysis of Photoluminescence in Six North American Bat Species
Published 2025-08-01Get full text
Article -
811
Responsive cellulose nanocrystal‐based liquid crystals: From structural color manipulation to applications
Published 2025-08-01“…Cellulose nanocrystals (CNCs), obtained through the acidic hydrolysis of cellulose‐based materials including wood, cotton, and additional sources, have attracted significant attention in areas, for example, energy storage, cosmetics, and medical devices. …”
Get full text
Article -
812
Generation of Cas9 Knock-In <i>Culex quinquefasciatus</i> Mosquito Cells
Published 2025-01-01“…In comparison to the RNAi-mediated gene silencing of <i>dicer-2</i>, <i>argonaute-2b</i>, and <i>piwi5</i>, our Cas9/sgRNA approach showed an enhanced ability to detect antiviral effects. <b>Conclusions</b>: We propose that this cell line offers a new tool for studying gene function in <i>Cx. quinquefasciatus</i> mosquitoes that avoids the use of RNAi. …”
Get full text
Article -
813
-
814
A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique
Published 2025-04-01“…A progressive brain disease that affects memory and cognitive function is Alzheimer’s disease (AD). To put therapies in place that potentially slow the progression of AD, early diagnosis and detection are essential. …”
Get full text
Article -
815
-
816
Comprehensive analysis of the NAC transcription factor gene family in Sophora tonkinensis Gagnep
Published 2025-04-01Get full text
Article -
817
-
818
-
819
CLASSIFYING LIVER DISEASE WITH BOOSTING MACHINE LEARNING APPROACHES
Published 2025-08-01“…Liver diseases pose a significant global health challenge due to their impact on metabolic function and the difficulty of early detection. Traditional diagnostic methods such as liver biopsy have limitations due to their invasive nature and high costs. …”
Get full text
Article -
820
Evaluating LiDAR‐Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests
Published 2025-04-01“…We investigated whether structural metrics derived from light detection and ranging (LiDAR) data could predict bee diversity and abundance, as well as bee functional trait composition within managed and unmanaged forests in the central hardwood region in southern Illinois, United States of America. …”
Get full text
Article