Educational effectiveness of cognitive and metacognitive strategies on educational self-destructive behaviors and negative self-evaluation thinking in Arabic lessons by Ali Nourihamid Altome, Mohammad hassani, Masoumeh Talebi

“…The reliability of the questionnaire was 0.88 based on Cronbach's alpha coefficient of self-destructive educational behaviors and 0.86 negative self-evaluation thinking. …”
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The effectiveness of using web quest strategies and digital stories in the development of critical thinking, higher level thinking skills, and the progress of fifth grade history l... by Reza Abbashassan Nasrolah, Mohammad hassani

“…The reliability of the questionnaire based on Cronbach's alpha coefficient was obtained 0.90 for critical thinking, 0.84 for higher level thinking, and 0.79 for academic achievement. …”
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Identifying and analyzing drivers of innovative behavior based on strategic management of human resources in knowledge-based organizations by Mitra Sadoughi

“…Behavioral innovation is an important and vital factor for organizations to create sustainable competitive value and advantage in today's complex and variable environment. With more innovation, organizations will be more successful in responding to variable environments and developing new capabilities that allow them to get better performance (Vakili et al, 2019). …”
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Temperature simulation and experimental for polishing TC4 with abrasive cloth wheel by Libo WANG, Chao XIAN, Hongmin XIN

“…Therefore, when determining the polishing process parameters, the appropriate compression depth should be selected first, and then other process parameters should be selected accordingly.…”
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A Novel -Inspired Routing Protocol for Wireless Sensor Networks by Mingchuan Zhang, Changqiao Xu, Jianfeng Guan, Ruijuan Zheng, Qingtao Wu, Hongke Zhang

“…There is a tradeoff between routing efficiency and energy equilibrium for sensor nodes in wireless sensor networks (WSNs). …”
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Comparative Assessment of Functional and Morphological Markers in Guinea Pig (<i>Cavia porcellus</i>) Oocytes Collected at Different Estrous Cycle Phases by Jorge X. Samaniego, José L. Pesántez, Fernando P. Perea, Andrea P. Pazmiño, Jorge B. Dután, Salvador Ruiz

“…These findings indicate that both intrinsic (e.g., morphological quality) and extrinsic (e.g., estrous cycle stage) factors modulated oocyte competence. Selecting oocytes based on integrated morphological and physiological criteria may improve the efficiency of IVM protocols in this species.…”
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Transfer Function of a Time-Varying Control System Considering Actuator Inertia by Volt Avdieiev

“…Finding the extreme of the equivalence criterion of the TCS and the link using the Levenberg-Marquardt method, with the coordinates of the extreme point being the arguments of the TF coefficients. Practical Implications. Using the TF of equivalent link, it is possible to obtain for the selected trajectory section a quantitative estimate of the stability margin, the duration of the transient process, the accuracy of disturbance compensation, and the transmission coefficient depending on the signal frequency input. …”
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A comprehensive evaluation of deep vision transformers for road extraction from very-high-resolution satellite data by Jan Bolcek, Mohamed Barakat A. Gibril, Rami Al-Ruzouq, Abdallah Shanableh, Ratiranjan Jena, Nezar Hammouri, Mourtadha Sarhan Sachit, Omid Ghorbanzadeh

“…This study evaluates 11 transformer-based models on three publicly available datasets (DeepGlobe Road Extraction Dataset, SpaceNet-3 Road Network Detection Dataset, and Massachusetts Road Dataset) to assess their performance, efficiency, and complexity in mapping road networks from multicity, multidate, and multisensory VHR optical satellite images. …”
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ARM-Net: A Tri-Phase Integrated Network for Hyperspectral Image Compression by Qizhi Fang, Zixuan Wang, Jingang Wang, Lili Zhang

“…However, these modules tend to increase computational complexity exponentially with the number of bands, which limits their performance under constrained resources. …”
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Infrastructure of interconnected microgrids: A review by Moshammed Nishat Tasnim, Tofael Ahmed, Shameem Ahmad, GM Shafiullah

“…Then, numerous factors like cost, reliability, scalability, flexibility, complexity, and efficiency that play a significant role in evaluating the performance of IMG structures are identified to present a comparative analysis among various architectural topologies. …”
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Frequency-bin-encoded entanglement-based quantum key distribution in a reconfigurable frequency-multiplexed network by Anahita Khodadad Kashi, Michael Kues

“…Abstract Large-scale quantum networks require dynamic and resource-efficient solutions to reduce system complexity with maintained security and performance to support growing number of users over large distances. …”
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Multidimensional Meteorological Variables for Wind Speed Forecasting in Qinghai Region of China: A Novel Approach by He Jiang, Luo Shihua, Yao Dong

“…To reduce the model complexity, Gram–Schmidt-based feature selection (GSFS) is applied to extract the important meteorological factors. …”
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Enhancing UAV Object Detection in Low-Light Conditions with ELS-YOLO: A Lightweight Model Based on Improved YOLOv11 by Tianhang Weng, Xiaopeng Niu

“…ELS-YOLO features a re-parameterized backbone (ER-HGNetV2) with integrated Re-parameterized Convolution and Efficient Channel Attention mechanisms, a Lightweight Feature Selection Pyramid Network (LFSPN) for multi-scale object detection, and a Shared Convolution Separate Batch Normalization Head (SCSHead) to reduce computational complexity. …”
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SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders by Samra Siddiqui, Junaid A. Khan, Tallha Akram, Meshal Alharbi, Jaehyuk Cha, Dina A. AlHammadi

“…This facilitates cross-dataset system evaluation, resulting in an efficient system for an unseen image diagnosis. To avoid the problem of “curse of dimensionality”, the most discriminant feature information is selected based on proposed minimum redundancy maximum relevance (MRMR) algorithm. …”
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Automated VMAT planning for short-course radiotherapy in locally advanced rectal cancer. by Qiong Zhou, Liwen Qian, Chong Shen, Xinyan Bei, Gaojie Liu, Xiaonan Sun

“…<h4>Purpose</h4>This study aims to develop a fully automated VMAT planning program for short-course radiotherapy (SCRT) in Locally Advanced Rectal Cancer (LARC) and assess its plan quality, feasibility, and efficiency.<h4>Materials and methods</h4>Thirty LARC patients who underwent short-course VMAT treatment were retrospectively selected from our institution for this study. …”
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Thermodynamic analysis of an isothermal redox cycle for vacuum carbothermal ceria reduction and carbon dioxide splitting for solar fuels production by Karinate Valentine Okiy

“…The transition to sustainable energy systems necessitates efficient solar-driven fuel production technologies. …”
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A comprehensive study of recent maximum power point tracking techniques for photovoltaic systems by Mohammed Hamouda Ali, Mohammad Zakaria, Sally El-Tawab

“…The results show AI techniques have a tracking efficiency of almost 99% when compared to other examined approaches, and they give quick and efficient tracking speed.…”
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Targeting GDF15 to enhance immunotherapy efficacy in glioblastoma through tumor microenvironment-responsive CRISPR-Cas9 nanoparticles by Cheng Zou, Xiao Liu, Weizhong Wang, Lei He, Anan Yin, Zhengcong Cao, Maorong Zhu, Yuxin Wu, Xiaolin Liu, Jiying Ma, Yalong He, Shuning Wang, Wangqian Zhang, Wei Liu, Yingqi Zhang, Jintao Gu, Wei Lin, Kuo Zhang, Meng Li

“…This shell also contains a dual-action ligand that aids in crossing the blood‒brain barrier, targeting tumor cells, and selectively releasing Cas9/sgRNA. Our encapsulating nanoparticles demonstrated promising GBM targeting, resulting in high GDF15 gene editing efficiency within brain tumors while showing minimal off-target gene editing in high-risk tissues. …”
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Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

“…Overall, this study demonstrates the potential of machine learning algorithms for predicting tunnel abrasion in SBTs.Paper highlightsThis study introduces a validated 2D model for tunnel abrasion based on field data, contributing to improved sediment management in SBTs.ASM Model efficiently predicts abrasion mapping in SBT, achieving 86.4% overall accuracy.High sensitivity and specificity in distinguishing abraded and non-abraded areas.Captures four complex abrasion patterns in straight and curved sections but is limited to relatively small wave-like patterns.Geometric and hydraulic parameters, particularly the elongated distance and flow velocity, exhibit significant impacts in the ASM model.…”
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Probability updating-based adaptive hybrid coding

“…To achieve the best coding efficiency,probability updating based huffman code and structured code were jointly used,and the best context model was selected according as the correlation of adjacent syntax elements. …”
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