Metabolic Effects of Loquat Juice (<i>Eriobotrya japonica</i> Lindl <i>Mkarkeb</i> Variety) on Lipid Homeostasis, Liver Steatosis, and Oxidative Stress in Hyperlipidemic Mice Fed a... by Imane Mokhtari, Thamer Aljutaily, Huda Aljumayi, Khadija S. Radhi, Abdulkarim S. Almutairi, Hassan Barakat, Ibrahim Khalifa, Souliman Amrani, Hicham Harnafi

“…Background: Loquat fruit is consumed for its flavorful taste and a rich array of health-promoting compounds like phenolics, flavonoids, and carotenoids. …”
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Investigating Impact of Current Pulse Waveform and Simulation Frequency on Deep Brain Stimulation by Enver Salkım

“…Then, the DBS electrode array was designed and merged with the computational model to analyse the results using different frequency ranges. …”
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Energy-Accuracy Trade-Offs for Resistive In-Memory Computing Architectures by Saion K. Roy, Naresh R. Shanbhag

“…At high-output signal magnitude, we can find that the maximum achievable SNDR is limited by the pre-analog-to-digital-converter (ADC) array nonidealities, such as the conductance variations (CVs), parasitic resistances, and current mirror mismatch (MM), whereas the ADC thermal (AT) noise limits the SNDR at small signal magnitudes. …”
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Cervical ripening at home or in hospital during induction of labour: the CHOICE prospective cohort study, process evaluation and economic analysis by Mairead Black, Cassandra Yuill, Mairi Harkness, Sayem Ahmed, Linda Williams, Kathleen A Boyd, Maggie Reid, Amar Bhide, Neelam Heera, Jane Huddleston, Neena Modi, John Norrie, Dharmintra Pasupathy, Julia Sanders, Gordon C S Smith, Rosemary Townsend, Helen Cheyne, Christine McCourt, Sarah Stock

“…Objectives This study set out to determine whether cervical ripening at home is within an acceptable safety margin of cervical ripening in hospital, is effective, acceptable and cost-effective from both National Health Service and service user perspectives. …”
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Highly Sensitive Photoacoustic Imaging: A New Strategy for Ultrahigh Spatial Resolution Seismic Physical Model Imaging by Xin Liu, Wen Wang, Qiangzhou Rong, Baozhi Yu

“…Herein, laser ultrasonic imaging strategy, an imaging strategy which merges the large penetration depth of ultrasound imaging and high contrast of optical imaging, is developed for SPM imaging for the first time, where photoacoustic (PA) effect is utilized for the excitation. A customized contrast agent, Co₃O₄ nanoflake arrays (CONAs), is designed for this special application of photoacoustic imaging in a large-scale via a facile hydrothermal method. …”
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Characterization Methodology for Voltage-Dependent Mobility of Charge Carriers in Graphene FETs Using Single-Device Microwave Measurements by Xiomara Ribero-Figueroa, Anibal Pacheco-Sanchez, Aida Mansouri, Pankaj Kumar, Omid Habibpour, Herbert Zirath, Luca Anzi, Amaia Zurutuza, Roman Sordan, David Jimenez, Francisco Pasadas, Reydezel Torres-Torres

“…Furthermore, regressions from experimental data of transistor arrays with different geometries are not required, thus avoiding uncertainties related to process variations and device-to-device measurement conditions. …”
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Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications by Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, Md Mifthahul Jannat Maktum

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Deep learning-based detection and classification of acute lymphoblastic leukemia with explainable AI techniques by Debendra Muduli, Sourav Parija, Suhani Kumari, Asmaul Hassan, Harendra S. Jangwan, Abu Taha Zamani, Sk. Mohammed Gouse, Banshidhar Majhi, Nikhat Parveen

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Improved K-means clustering and adaptive distance threshold for energy reduction in WSN-IoTs by Azamuddin Ab Rahman, Sakib Iqram Hamim

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A comparative study of machine learning and deep learning models in binary and multiclass classification for intrusion detection systems by Ayesha Alharthi, Meera Alaryani, Sanaa Kaddoura

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Cybersecurity of remote work migration: A study on the VPN security landscape post Covid-19 outbreak by Kushtrim Qollakaj, Lukas Einler Larsson, Suejb Memeti

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KA-GCN: Kernel-Attentive Graph Convolutional Network for 3D face analysis by Francesco Agnelli, Giuseppe Facchi, Giuliano Grossi, Raffaella Lanzarotti

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Multimodal data fusion for Alzheimer's disease based on dynamic heterogeneous graph convolutional neural network and generative adversarial network by Xiaoyu Chen, Shuaiqun Wang, Wei Kong

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Multi-objective game for fighting against Distributed Reflection DoS attacks in software-defined network by Vianney Kengne Tchendji, Mthulisi Velempini, Priva Chassem Kamdem

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Enhanced zebra optimization algorithm for sustainable combined economic and emission dispatch in power systems by Ahmed Arkwazee, Rana Abttan

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Maximizing influence via link prediction in evolving networks by Kexin Zhang, Mo Li, Shuang Teng, Lingling Li, Yi Wang, Xuezhuan Zhao, Jinhong Di, Ji Zhang

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Explainable deep learning-based meta-classifier approach for multi-label classification of retinal diseases by Md. Moniruzzaman Hemal, Suman Saha

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Metric-based defect prediction from class diagram by Batnyam Battulga, Lkhamrolom Tsoodol, Enkhzol Dovdon, Naranchimeg Bold, Oyun-Erdene Namsrai

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An improved deep learning approach for automated detection of multiclass eye diseases by Feudjio Ghislain, Saha Tchinda Beaudelaire, Romain Atangana, Tchiotsop Daniel

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Gesture-controlled omnidirectional autonomous vehicle: A web-based approach for gesture recognition by Huma Zia, Bara Fteiha, Maha Abdulnasser, Tafleh Saleh, Fatima Suliemn, Kawther Alagha, Jawad Yousaf, Mohammed Ghazal

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