Intraspecific Differentiation of <i>Francisella tularensis</i> Strains Using Multilocus Real-Time Polymerase Chain Reaction by N. A. Osina, D. A. Sitmbetov, E. G. Bulgakova, S. S. Chekmareva, E. V. Sazanova, A. M. Senichkina, O. Yu. Lyashova, A. V. Osin, S. A. Shcherbakova

“…Sequence homology was assessed using the BLAST algorithm and the GenBank NCBI database. Results and discussion. …”
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Navigation Aids Performance Evaluation for Precision Approaches by Pier Domenico Tromboni, Giovanni B. Palmerini

“…The paper deals with the evaluation of the expected performance of aircraft approaches and landings operated with different navigation systems, both traditional and satellite-based. …”
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Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists by Horsfall LJ, Bondaronek P, Ive J, Poduval S

“…Concerns about race correction compounding health inequities have led many medical organizations to re-evaluate their algorithms, with some removing race entirely. …”
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Express Immunochromatographic Detection of Rotavirus and Adenovirus Antigens in Pre-Hospital Differential Diagnosis of Acute Abdominal Pain in Children by Ekaterina A. Romanova, Leyla S. Namazova-Baranova, Elena Yu. Dyakonova, Aleksey Yu. Romanov, Kazbek S. Mezhidov, Zharadat I. Dohshukaeva

“…Objective. Our aim was to evaluate the possibility of using immunochromatographic rapid tests (ICA) to determine the rota- and adenovirus infection in pre-hospital differential diagnosis of abdominal syndrome in children. …”
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The optimization of low Earth orbit satellite constellation visibility with genetic algorithm for improved navigation potential by Chao Qin, Yanbin Gao, Yihuan Wang

“…Overall, the proposed GA outperformed Particle Swarm Optimization and Dynamic Non-dominated Sorting Differential Evolution in visibility, robustness, and computational efficiency. …”
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Quality of Service Routing in Manet Using a Hybrid Intelligent Algorithm Inspired by Cuckoo Search by S. Rajalakshmi, R. Maguteeswaran

“…This updating mechanism is derived from the differential evolution (DE) algorithm, where the candidates learn from diversified search regions. …”
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M-Race: A Racing Algorithm for the Tuning of Meta-Heuristics Based on Multiple Performance Objectives by Christoff Jordaan, Andries Engelbrecht, Kian Anderson

“…Experimental results demonstrate that M-race successfully discovered between 9 and 15 non-dominated parameter configurations across benchmark functions for both particle swarm optimisation (PSO) and differential evolution (DE) algorithms. These non-dominated parameter configurations represent balances among the tuning objectives used.…”
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Computational scheme for the numerical solution of fractional order pantograph delay-integro-differential equations via the Bernstein approach by E. Aourir, H. Laeli Dastjerdi, Kamal Shah, Thabet Abdeljawad

“…The main objective of this research is to provide an efficient computational algorithm for solving a class of fractional order pantograph delay-integro-differential equations. …”
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Legendre based neural networks integrated with heuristic algorithms for the analysis of Lorenz chaotic model: an intelligent and comparative study by Khalid Masood, Muhammad Arshad, Muhammad Abubakar, Muhammad Naeem Aslam, Mohammed A. Alghamdi, Sultan H. Almotiri

“…This design approach is employed to Lorenz model across three (3) different scenarios using various step sizes and input intervals. …”
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Robustness evaluation of commercial liveness detection platform by Pengcheng WANG, Haibin ZHENG, Jianfei ZOU, Ling PANG, Hu LI, Jinyin CHEN

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Dye-cleaning prediction with a variant of nature-inspired algorithms coupled with extreme gradient boosting by Tiyasha Tiyasha, Chijioke Elijah Onu, Mohamed A. Ismail, Rama Rao Karri, Abdelfattah Amari, Vinay Kumar, Suraj Kumar Bhagat

“…Hyperparameter tuning via differential evolution (DE), genetic algorithm (GA), random search (RS), and grid search (GS) with the XGBoost model was conducted to achieve more accurate results. …”
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Development of Differentiated E-Learning to Improve Students' Motivation and Learning Independence at SMAN 1 Panggang, Gunungkidul Regency by Ari Mardian, Herman Dwi Surjono

“…The results of this research and development are as follows: (1) development of a Moodle-based differentiated e-learning platform accessible via www.esman1panggang.com, featuring programming algorithm materials adapted to students' diverse learning styles across four sessions; (2) validation by material experts (4.11) and media experts (4.10), both categorized as "very feasible"; (3) teacher and student practicality assessments rated at 4.19 and 4.55, respectively, indicating the media is "feasible"; and (4) significant effectiveness in enhancing motivation and learning independence, evidenced by higher N-Gain scores in the experimental group compared to the control group, and statistically significant differences in pretest and posttest results (p < 0.05). …”
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Social Cognitive Optimization Algorithm for Approximate Path Generation Synthesis of Spherical 4R Linkage by Che Linxian, Huang Yonggang, Du Li

“…Combining the self-adaptive penalty function method，this study employs the social cognitive optimization (SCO) algorithm to solve the aforementioned problem. In order to enhance the convergence speed and accuracy of SCO algorithm，a novel accelerating social cognitive optimization (ASCO) algorithm is proposed in which the differential evolution (DE) operators are used to local search. …”
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Hybrid DE-EM Algorithm for Gaussian Mixture Model-Based Wireless Channel Multipath Clustering by Yupeng Li, Jianhua Zhang, Ruisi He, Lei Tian, Hewen Wei

“…To address this issue, a hybrid differential evolution (DE) and EM (DE-EM) algorithms are proposed in this paper. …”
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Damage Behaviour of Quasi-Brittle Composites: Mathematical and Computational Aspects by Jiří Vala, Jiří Tomáš

“…The article is devoted to the mathematical aspects regarding a considerably wide class of computational modelling problems, emphasising the following ones: (i) the existence and the uniqueness of solutions of engineering problems formulated in terms of the deterministic initial and boundary value problems of partial differential equations theory; (ii) the problems of convergence of computational algorithms applied to (i). …”
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A multi-stage weakly supervised design for spheroid segmentation to explore mesenchymal stem cell differentiation dynamics by Arash Shahbazpoor Shahbazi, Farzin Irandoost, Reza Mahdavian, Seyedehsamaneh Shojaeilangari, Abdollah Allahvardi, Hossein Naderi-Manesh

“…Furthermore, it achieves performance comparable to fully supervised state-of-the-art approaches. To quantitatively evaluate our algorithm, extensive experiments were conducted using available annotated data, confirming the reliability and robustness of our method. …”
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Structure design and trajectory positioning method of underwater telescopic arm robot based on DE algorithm by Jin Huawei, Li Shuo, Liu Wenjian, Ji Haitao, Yan Fangzheng, Lu Wenlong, Xu Chenyu

“…Considering the possible collision in the trajectory of the underwater robot arm and the increase in load pressure on the arm, the differential evolution method is introduced to iterate the time of the arm through six stages to plan the optimal value of time for the optimal trajectory of the arm, and finally, the algorithm is applied to the experiment. …”
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Machine learning-based radiomics for differentiating lung cancer subtypes in brain metastases using CE-T1WI by Xueming Xia, Wei Du, Qiheng Gou

“…Among the ten models tested, the LightGBM algorithm exhibited superior performance, with an AUC of 0.853 in the test cohort. …”
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Algorithm-Based Real-Time Analysis of Heart Rate Measures in HIIT Training: An Automated Approach by Sergio Amat, Sonia Busquier, Carlos D. Gómez-Carmona, Manuel Gómez-López, José Pino-Ortega

“…The algorithm detects local maxima and minima in the heart rate signals recorded during HIIT sessions and calculates ascending and descending slopes, as well as intermediate averages, to evaluate cardiovascular response and recovery. …”
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An adapted Black Widow Optimization Algorithm for Financial Portfolio Optimization Problem with cardinalty and budget constraints by Rahenda Khodier, Ahmed Radi, Basel Ayman, Mohamed Gheith

“…New features are introduced for the BWAPO to adapt better to the problem, including (1) mating attraction and (2) differential evolution mutation strategy. The proposed BWAPO is evaluated against other metaheuristic approaches used in portfolio optimization from literature, and its performance demonstrates its effectiveness through comparative studies on benchmark datasets using multiple performance metrics, particularly in the unconstrained Mean-Variance portfolio optimization version. …”
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