Performance of Machine Learning Classifiers for Diabetes Prediction by Mijala Manandhar, Shaikat Baidya, Babalpreet Kaur, Katia Atoji

“…Performance metrics such as accuracy, precision, recall, Matthews Correlation Coefficient, ROC Area, and F1-measure were used to compare the classifiers. …”
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An Investigation on Health Literacy and Its Impact on Health-Promoting Behaviors among the Residents of Mashhad by Mohammad Hasan Sharbatiyan

“…This research aims to assess the ability to acquire, analyze, and comprehend health-related information to make informed choices on activities that promote good health. …”
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Simulation Research of Virtual Synchronous Machine Control System with Harmonic Suppression by CHENG Kun, DING Xiying, GONG Jingying, HAN Yan, LI Xiaodong

“…High-slope droop control is performed on the main harmonic components of each order to quickly clean up the harmonics output of grid-connected inverter, so that the inverter has the ability to suppress specific harmonics while transmitting power. …”
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Prediction of Solar Radiation Data for Garlic Production in Magelang Regency Using Long Short-Term Memory by Muhammad Safrul Safrudin, Imas Sukaesih Sitanggang, Hari Agung Adrianto, Syarifah Aini

“…This algorithm was selected due to its ability to analyze time-series data and predict long-term patterns. …”
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Decremental response in patients with amyotrophic lateral sclerosis during repetitive nerve stimulation and its relationships with impaired homeostasis by Jinghong Zhang, Yang Li, Qiang Shi

“…Females had a larger range of area decrement than males.ConclusionDuring RNS test, assessing area decrement significantly enhances our ability to detect the impairment of neuromuscular transmission in patients with ALS. …”
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Tribological properties of novel palygorskite nanoplatelets used as oil-based lubricant additives by Kunpeng Wang, Huaichao Wu, Hongdong Wang, Yuhong Liu, Lv Yang, Limei Zhao

“…Its excellent lubricating performance and self-repairing ability were mainly attributed to the generated MoS2 adsorbed on the contact surfaces during the tribochemical reaction, thereby effectively preventing the direct collision between asperities on sliding solid surfaces. …”
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Anterior cruciate ligament tear detection based on Res2Net modified by improved Lévy flight distribution by Peiji Yang, Yanan Liu, Fei Liu, Mingxia Han, Yadegar Abdi

“…The Res2Net model is known for its ability to extract important features and classify them effectively. …”
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Total Flavonoid Content and Antioxidant Activity of Different Polarity Extracts from Pereskia bleo Leaves by Ni Made Dwi Mara Widyani Nayaka, Erna Cahyaningsih, Maria Malida Vernandes Sasadara, Putu Era Sandhi Kusuma Yuda, Felia Riska Indriani

“… Antioxidant agents are essential for the body due to its ability to scavenge free radicals. Medicinal plants contain phytochemicals that act as antioxidants. …”
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Support Vector Machine for Prediction of the Electronic Factors of a Schottky Configuration Interlaid with Pure PVC and Doped by Sm2O3 Nanoparticles by Yashar Azizian‐Kalandaragh, Ali Barkhordari, Yosef Badali

“…By contrasting the predicted and experimental results, the predictive ability of the SVM approach for predicting the electronic specifications of the fabricated structures and their current conduction/transport processes has been evaluated to investigate the effectiveness of the SVM. …”
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Sediment Estimation of the Mosul Dam Lake Using SWAT and Dual ANN Models by Abdulwahd A. Kassem, Warqaa Th. Aness, Mohammed G. Mohammed

“…Finally, the result showed the ability of ANN to use two successive models (Dual ANN) to estimate the sediment concentration and sediment load for the valleys, as mentioned earlier. …”
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The relationship between religious coping and adjustment in the spouses of veterans with post-traumatic stress disorder: A cross-sectional study by Pegah Sadeghi Asl, Zohre Barzegar Amiry, Fatemeh Rostami, Azadeh Maghsoodloo Rad

“…Post-traumatic stress disorder (PTSD) is a condition that requires one’s ability to adjust to a problem. Wives of veterans are considered indirect victims of war, and the chronic nature of PTSD negatively affects their adjustment to their life conditions. …”
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Assessing the realization rate of effectiveness components in the faculty member of civil engineering department at Imam Khomeini International University (IKIU) by Roohollah Taherkhani, Amirhossein Hajibabaei

“…Among the examined items, students emphasized on regular attendance and optimum use of class time with the highest average and the ability to motivate students for further study with the lowest average. …”
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An Approach to Rapid Determination of Tween-80 for the Quality Control of Traditional Chinese Medicine Injection by Partial Least Squares Regression in Near-Infrared Spectral Model... by Jin-Fang Ma, Tian-Ling Chen, Xiang-Dong Zhang, Xue Xiao, Fa-Huan Ge

“…The standard error of cross validation (SECV), standard deviation of calibration (SEC), and the determination coefficient (R) of the established model were 0.0561, 0.0526, and 0.9986, respectively. …”
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A Transformer-Based Diffusion Model for All-in-One Weather-Degraded Image Restoration by QIN Jing, WEN Yuanbo, GAO Tao, LIU Yao

“…The STSA adopts subspace transformation coefficient to effectively capture global long-range dependencies while significantly reducing computational burden. …”
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UAV Target Segmentation Based on Depse Unet++ Modeling by Zhaoqi Hou, Yiqing Gu, Zhen Zheng, Yueqiang Li, Haojie Li

“…The experimental results show that the Depse Unet++ model surpasses existing state-of-the-art models in critical metrics such as Mean Inter-section and Union Ratio, Dice coefficient and pixel accuracy. Additionally, the specific contributions of each technical component to the model’s performance were confirmed through ablation studies, ensuring the method’s validity and reliability. …”
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Method for Automatic Segmentation of Vehicles in Digital Images by Ilya G. Zubov

“…Jacquard’s similarity coefficient for the Carvana open database is 85 %. Furthermore, the proposed method was applied to different classes of images from the Pascal VOC database, thus demonstrating the ability to segment objects of other classes.Conclusion. …”
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Characterization of the resting-state brain network topology in the 6-hydroxydopamine rat model of Parkinson's disease. by Robert Westphal, Camilla Simmons, Michel B Mesquita, Tobias C Wood, Steve C R Williams, Anthony C Vernon, Diana Cash

“…Resting-state functional MRI (rsfMRI) is an imaging technology that has recently gained attention for its ability to detect disruptions in functional brain networks in humans, including in patients with Parkinson's disease (PD), revealing early and widespread brain network abnormalities. …”
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Hybrid Swin-CSRNet: A Novel and Efficient Fish Counting Network in Aquaculture by Jintao Liu, Alfredo Tolón-Becerra, José Fernando Bienvenido-Barcena, Xinting Yang, Kaijie Zhu, Chao Zhou

“…Finally, a multi-scale fusion (MSF) module is added after the back-end to fully utilize the multi-scale feature information, enhancing the model’s ability to capture multi-scale details. The experiment demonstrates that Swin-CSRNet achieved excellent results with MAE, RMSE, and MAPE and a correlation coefficient R² of 11.22, 15.32, 5.18%, and 0.954, respectively. …”
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Nonlocal fractional MGT-non-Fourier photothermal model with spatial and temporal nonlocality for controlling the behavior of semiconductor materials with spherical cavities by Mofareh Alhazmi, Ahmed E. Abouelregal

“…By incorporating a thermal relaxation coefficient, the framework ensures finite-speed thermal wave propagation, effectively addressing the unrealistic prediction of infinite heat speed found in classical models. …”
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Research on aerodynamic characteristics and control method of rigid-flexible variable camber wing by Tao Xin, Bin Li

“…Under different angles of attack, the hybrid deflection airfoil has better aerodynamic performance, with the lift coefficient increasing by up to 1.66 times and the lift-to-drag ratio increasing by up to 2.86 times. …”
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