CRISIS MANAGEMENT IN EDUCATION - CHALLENGES AND STRATEGIES FOR SCHOOL LEADERS IN TURBULENT TIMES by Sofy AMNONY, Nicolae BIBU, Maria-Madela ABRUDAN

“…Through a systematic review of recent literature (2020-2023) and synthesis of empirical findings, this research explores key concepts in crisis management, identifies major challenges, and discusses effective strategies for school principals to navigate these turbulent times. The study employs a theoretical framework based on organizational resilience and adaptive leadership to analyze the complexities of educational crisis management. …”
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Shifting of Nonlinear Phenomenon in the Boost converter Using Aquila Optimizer by Belkacem Korich, Derradji Bakria, Djamal Gozim, Redha Djamel Mohammedi, Mohamed Elbar, Ali Teta

“…Aquila optimizer AO is employed to determine the ideal parameters for the controller by computing the discrepancy between the reference current and the value of the inductor current, as well as the discrepancy between the inductor current readings during switch openings. …”
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Well-Characterized Polyethyleneimine-/Carboxylated-Polyethylene-Glycol-Functionalized Gold Nanoparticles as Prospective Nanoscale Control Materials for In Vitro Cell Viability Assa... by Vytas Reipa, Vincent A. Hackley, Alessandro Tona, Min Beom Heo, Ye Ryeong Lee, Tae Geol Lee, Aaron Johnston-Peck, Tae Joon Cho

“…Cell viability assays are widely employed for manufactured nanomaterial hazard screening as a first-tier approach. …”
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An evaluation on industrial applications using leakage inductance and series capacitance converter by Gundala Srinivasa Rao, Tellapati Anuradha Devi, KAMBHAMPATI VENKATA GOVARDHA Rao, Thalanki Venkata Sai Kalyani, Malligunta Kiran Kumar, B. Srikanth Goud, K. S. Bhargavi, CH Naga Sai Kalyan, Srungaram Ravi Teja, M. Sai Prasad Reddy

“… The Leakage Inductance and Series Capacitance (LLSC) resonant converters are exhaustively employed in a wide assortment of industries involving consumer electronics due to their benefits of good efficiency, higher power density, immunity to electromagnetic interference, low EMI and harmonic distortion, wide production extends, voltage stress is lowered and frequency at high operating characteristic. …”
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Spherical branes and the BMN matrix quantum mechanics by Nikolay Bobev, Pieter Bomans, Friðrik Freyr Gautason

“…We show how these results can be reproduced at strong gauge coupling using holography by employing spherical D-brane solutions. We construct these solutions for any value of d using an effective supergravity description and pay particular attention to the subtleties arising in the d → 1 limit. …”
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Automated and Reproducible Detection of Vascular Endothelial Growth Factor (VEGF) in Renal Tissue Sections by Nayana Damiani Macedo, Aline Rodrigues Buzin, Isabela Bastos de Araujo, Breno Valentim Nogueira, Tadeu Uggere Andrade, Denise Coutinho Endringer, Dominik Lenz

“…The aim of the present study was to employ image analysis followed by machine learning to identify vascular endothelial growth factor (VEGF) in kidney tissue that had been subjected to hypoxia. …”
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A Partial Robust M-Regression-Based Prediction and Fault Detection Method by Jianfang Jiao, Jingxin Zhang, Hamid Reza Karimi

“…In order to develop a robust prediction and fault detection method, this paper employs the partial robust M-regression (PRM) to deal with the outliers. …”
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High Hydrostatic Pressure-Assisted Extraction of High-Molecular-Weight Melanoidins from Black Garlic: Composition, Structure, and Bioactive Properties by Yimeng Zhao, Yongli Jiang, Yanfang Ding, Danfeng Wang, Yun Deng

“…High hydrostatic pressures from 200 to 500 MPa were employed to extract the melanoidins from black garlic for improving the extraction efficiency and enhancing the activities. …”
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Space-Based Optical Observations on Space Debris via Multipoint of View by Zhao Li, Yidi Wang, Wei Zheng

“…The dual-point of view (DPOV) observation is employed because it has higher cost-benefit ratio than other MPOV methods, and it required that the target is detectable for multiple optical sensors simultaneously. …”
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Scaled Diagonal Gradient-Type Method with Extra Update for Large-Scale Unconstrained Optimization by Mahboubeh Farid, Wah June Leong, Najmeh Malekmohammadi, Mustafa Mamat

“…The main idea is to design a new diagonal updating scheme that incorporates scaling to instantly reduce the large eigenvalues of diagonal approximation and otherwise employs extra updates to increase small eigenvalues. …”
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A hybrid MARWIP-CODAS techniques for optimizing sourcing decisions in complex Fermatean fuzzy N soft sets by Anukokila Paraman, Nishanthini Rajendran, Radhakrishnan Bheeman

“…To begin, we propose an integrated rank sum and a method based on the removal effects of criterion approaches to establish the weighting procedure, which is subsequently applied to the combinative distance-based assessment technique to rank the alternatives. Furthermore, we employ the hybrid decision-making approach to an IVCFFNs environment to deal with complex uncertainty information in real-world decision-making problems. …”
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Deep learning for object recognition: A comprehensive review of models and algorithms by Paschalis Tsirtsakis, Georgios Zacharis, George S. Maraslidis, George F. Fragulis

“…Additionally, it evaluates the benchmark datasets commonly employed to assess their performance in object recognition tasks.…”
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A Novel Robust Tracking Algorithm in Cluttered Environments for Distributed Sensor Network by Yunting Liu, Yuanwei Jing, Siying Zhang, Hui Guo

“…The robust localization method is firstly employed to estimate the positions of the mobile node with different subgroups. …”
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FOREIGN DIRECT INVESTMENT, RENEWABLE ENERGY AND ECONOMIC GROWTH: AN EMPIRICAL ANALYSIS FROM SOUTH AFRICA by Ahmed Oluwatobi Adekunle

“… This paper explores the connection amid renewable energy, FDI and economic growth in South Africa using the vector error correction model (VECM) and exogeneity granger causality test. The data employed in this study covered 1990-2020, all obtainable from World development indicator (WDI) and International Energy Agency (IEA). …”
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Multi-frame blind deconvolution using X-ray microscope images of an in-plane rotating sample by Shinnosuke Kurimoto, Takato Inoue, Hitoshi Aoto, Toshiki Ito, Satsuki Ito, Yoshiki Kohmura, Makina Yabashi, Satoshi Matsuyama

“…Untrained neural networks are employed as the reconstruction algorithm to enable robust reconstruction against stage motion errors caused by the in-plane rotation of samples. …”
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A preliminary study into impression management practices in chairman’s statements in South African annual reports by Yaeesh Yasseen, Mahdiyyah Moola-Yasseen, Nirupa Padia

“…Another finding of the study was that ‘extremely unprofitable’ companies are less likely to employ impression management. The findings indicate that users of annual reports should be alert to the existence of reporting bias introduced by management and its impact on the usefulness of management commentary in their decision-making. …”
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Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSO by Pitther N. Santos, Victor Dmitriev, Karlo Q. da Costa

“…The optimization method used is the adaptive fuzzy GAPSO, which consists of hybridization between genetic algorithm (GA) and particle swarm optimization (PSO), with a fuzzy system employed to adapt the inertial weight ω and the acceleration coefficients C1 and C2 of PSO. …”
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Peristaltic Creeping Flow of Power Law Physiological Fluids through a Nonuniform Channel with Slip Effect by M. K. Chaube, D. Tripathi, O. Anwar Bég, Shashi Sharma, V. S. Pandey

“…The governing equations are simplified by employing the long wavelength and low Reynolds number approximations. …”
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Analysis of Naturally Occurring Radioactive Material (NORM) in shifting earth layers in Piyungan, Bantul by Iqbal Nurrahim, Andang Widi Harto, Yohannes Sardjono, Isman Mulyadi Triatmoko, Zuhdi Ismail, Gede Sutresna Wijaya

“…This study advances current methodologies by refining radon data analysis and employing mathematical models to further elucidate this relationship. …”
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Diagnostic Imaging of Canine Hepatobiliary Affections: A Review by Vijay Kumar, Adarsh Kumar, A. C. Varshney, S. P. Tyagi, M. S. Kanwar, S. K. Sharma

“…This paper describes the different diagnostic methods and imaging techniques employed in diagnosis of hepatobiliary affections in dogs. …”
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