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  1. 1561

    JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

    Published 2024-10-01
    “…Medical documents are considered an essential source for modern, invented, and robust analysis methods for accurate infection diagnoses. …”
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    Article
  2. 1562
  3. 1563
  4. 1564

    A depth-wise separable VGG19-capsule network for enhanced bell pepper and grape leaf disease classification with ensemble activation by Midhun P Mathew, Sudheep Elayidom, Jagathy Raj V P, Abubeker K M

    Published 2025-01-01
    “…Nowadays, computer vision and deep learning models can detect and diagnose leaf diseases in their early stages, which may assist farmers and contribute to ensuring food security. …”
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    Article
  5. 1565

    Transponder: Support for Localizing Distressed People through a Flying Drone Network by Antonello Calabrò, Eda Marchetti

    Published 2024-09-01
    “…<i>Results:</i> The Transponder functionalities have been proven to enhance and expedite the detection of missing persons. …”
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    Article
  6. 1566

    Assembly and comparative analysis of the complete mitochondrial of Spodiopogon sagittifolius, an endemic and protective species from Yunnan, China by Chao Xu, Wei Bi, Ren-yi Ma, Pin-rong Li, Feng Liu, Zhen-wen Liu

    Published 2025-03-01
    “…Abstract Background Spodiopogon sagittifolius, a C4 plant closely related to cultivated crops, is an edible resource and a Class II nationally protected species in China. …”
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    Article
  7. 1567

    Assessment of the nutritional constituents of Elaeis Guineensis Jacq exudates from different States of Nigeria by FI Obahiagbon, GE Ilori, JO Erhabor

    Published 2013-07-01
    “…The concentration of potassium was high in all the samples irrespective of their sources. The exudates could be classified as a rich source of nutrients that are needed in man, as some of the nutrients act as sources of energy, body builders, components of body organs and tissues, coenzymes and play notable roles in biochemical functions and deficiency diseases. …”
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    Article
  8. 1568

    Exploring Image Decolorization: Methods, Implementations, and Performance Assessment by Ivana Žeger, Ivan Šetka, Domagoj Marić, Sonja Grgic

    Published 2024-12-01
    “…The decolorization methods were also examined in the context of object segmentation and edge detection. The results from segmentation and edge detection were aligned with the decolorization results, revealing that certain objective metrics for evaluating decolorization more effectively assessed the properties of the decolorized images, which are crucial for successful object segmentation and edge detection.…”
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  9. 1569

    A Benzimidazole-Based Fluorescent Probe for the Selective Recognition of Cobalt (II) Ions by Jing Zhu, Hua-Fen Wang, Jia-Xiang Zhang, Man Wang, Yu-Wei Zhuang, Zhi-Guang Suo, Ye-Wu He, Yan-Chang Zhang, Min Wei, Hai-Yan Zhang

    Published 2025-08-01
    “…However, excessive cobalt intake can cause health issues. Detecting cobalt ions, especially Co<sup>2+</sup>, in food is crucial due to potential contamination from various sources. …”
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    Article
  10. 1570

    Empowering Retail Through Advanced Consumer Product Recognition Using Aquila Optimization Algorithm With Deep Learning by Mohammed Alghamdi, Hanan Abdullah Mengash, Mohammed Aljebreen, Mohammed Maray, Abdulbasit A. Darem, Ahmed S. Salama

    Published 2024-01-01
    “…Currently, deep learning (DL) prefers a successful progression with great achievements in object detection and image classification. …”
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    Article
  11. 1571
  12. 1572

    Assessment of the nutritional constituents of Elaeis Guineensis Jacq exudates from different States of Nigeria by FI Obahiagbon, GE Ilori, JO Erhabor

    Published 2013-07-01
    “…The concentration of potassium was high in all the samples irrespective of their sources. The exudates could be classified as a rich source of nutrients that are needed in man, as some of the nutrients act as sources of energy, body builders, components of body organs and tissues, coenzymes and play notable roles in biochemical functions and deficiency diseases. …”
    Get full text
    Article
  13. 1573

    Effect of Perfluorane on Electric Pulse-Modified Red Blood Cell Membranes by V. V. Moroz, Ye. K. Kozlova, M. S. Bogushevich, P. Yu. Alekseyeva, A. M. Chernysh

    Published 2005-06-01
    “…As a plasma substitute clinical medicine uses perfluorane that is an antishock, antiischemic, and cardioprotective agent having a function of transferring O2 and CO2. The authors have investigated the interaction of perfluorane particles with human erythrocytic membranes. …”
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    Article
  14. 1574

    Quantification of glucagon and oxyntomodulin by protein precipitation-immunoaffinity enrichment-LC-MS/MS by Jessica O. Becker, Sara K. Shijo, Huu-Hien Huynh, Katrina L. Forrest, Michael J. MacCoss, Michelle A. Emrick, Elisha Goonatilleke, Andrew N. Hoofnagle

    Published 2025-04-01
    “…A glucagon calibration material was sourced commercially and characterized for purity and concentration by high-performance liquid chromatography-ultraviolet detection and amino acid analysis. …”
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    Article
  15. 1575

    Unveiling smart contract vulnerabilities: Toward profiling smart contract vulnerabilities using enhanced genetic algorithm and generating benchmark dataset by Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui

    Published 2025-06-01
    “…This dataset consists of 111,897 Solidity source code samples, ensuring the practical validation of the proposed approach. …”
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    Article
  16. 1576

    FAM3C Regulates Glioma Cell Proliferation, Invasion, Apoptosis, and Epithelial Mesenchymal Transition via the Notch Pathway by Xiaochao Xia, Zihao Wang, Lvmeng Song, Yinchuan Cheng, Ping Xiong, Shun Li

    Published 2024-12-01
    “…Methods We utilized open‐source bioinformatics tools and platforms to analyze the transcriptional expression levels, prognosis, and correlation with clinical variables of FAM3C in gliomas, and subsequently, to hypothesize its potential molecular functions and possibly associated signaling pathways. …”
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    Article
  17. 1577

    Impulse Shaping Method Based on Bayesian Deconvolution by JIA Tonghui, LIU Yi, WANG Ming, MA Yingjie, WANG Bo

    Published 2025-04-01
    “…The initial step of this method entailed expressing the measured pulse signal as the convolution of the current impulse pulse signal and the detection system response function. Then, the measured signal was expressed in the continuous time domain and decomposed into the form of an impulse signal and a double exponential kernel convolution by derivation. …”
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  18. 1578

    Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

    Published 2025-05-01
    “…Abstract Denial of Wallet (DoW) attacks are one kind of cyberattack whose goal is to develop and expand the financial sources of a group by causing extreme costs in their serverless computing or cloud environments. …”
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  19. 1579

    The influence of genetics on the endocannabinoid system gene expression and relevance for targeting reproductive conditions by Keisuke Tanaka, Akwasi A. Amoako, Sally Mortlock, Peter A. W. Rogers, Sarah J. Holdsworth-Carson, Jacqueline F. Donoghue, Wan Tinn Teh, Grant W. Montgomery, Brett McKinnon

    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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  20. 1580

    Subclinical Aortic Root Pathology in Close Relatives of Patients with Bicuspid Aortic Valve by Ivaniv Y., Lozynska N., Ivaniv I.

    Published 2013-12-01
    “…According to various sources, among the relatives of the first degree (FDR) of affinity the prevalence of BAV is 9.0-21.0%. …”
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