Optimal Scheduling Method for Power Generation of Cascade Reservoirs Based on RLDE Algorithm by CHEN Jia-wen, ZHU Xin, TANG Zheng-yang, SHEN Ke-yan, CHEN Xiao-lin, QIN Hui

“…Specifically, (1) chaotic mapping enhanced the initial solution quality. Logistic mapping with the best experimental performance was selected and applied to the population initialization of the RLDE algorithm. (2) The adaptive parameter adjustment was conducted based on the Q-learning algorithm. (3) A variable step-size strategy was designed for the actions in the Q-table, where the precision of action rows gradually increased with the number of iterations. …”
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Efficient separation and purification of yttrium from zirconium onto anion exchange sorbent Amberlite A27 from acidic solution by O. A. Abdel Moamen, E. M. Abu Elgoud, B. A. Masry, H. M. Gayed, Y. A. El-Nadi, E. H. Borai

“…The results showed that higher initial concentrations of the metal ions decreased the sorption percentage of the sorbent. …”
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Can Emotional and Behavioral Dysregulation in Youth Be Decoded from Functional Neuroimaging? by Liana C L Portugal, Maria João Rosa, Anil Rao, Genna Bebko, Michele A Bertocci, Amanda K Hinze, Lisa Bonar, Jorge R C Almeida, Susan B Perlman, Amelia Versace, Claudiu Schirda, Michael Travis, Mary Kay Gill, Christine Demeter, Vaibhav A Diwadkar, Gary Ciuffetelli, Eric Rodriguez, Erika E Forbes, Jeffrey L Sunshine, Scott K Holland, Robert A Kowatch, Boris Birmaher, David Axelson, Sarah M Horwitz, Eugene L Arnold, Mary A Fristad, Eric A Youngstrom, Robert L Findling, Mirtes Pereira, Leticia Oliveira, Mary L Phillips, Janaina Mourao-Miranda

“…<h4>Methods</h4>A sample of fifty-seven youth (mean age: 14.5 years; 32 males) was selected from a multi-site study of youth with parent-reported behavioral and emotional dysregulation. …”
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The cost of delivering COVID-19 vaccines in Mozambique: a bottom-up costing study by Tozé Namalela, Flavia Moi, Amélia Dipuve, Pedro Marizane Pota, José Guambe, Maria Tereza Couto, Laura Boonstoppel

“…Recurrent costs were collected for the initial rollout period (March 8th to April 8th 2021) and for a later, higher-volume period (December 1st 2021 to February 28th 2022). …”
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Consensus Guidelines of Russian Society of Radiology (RSR) and Russian Association of Specialists in Ultrasound Diagnostics in Medicine (RASUDM) «Role of Imaging (X-ray, CT and US)... by V. E. Sinitsyn, I. E. Tyurin, V. V. Mitkov

“…The guidelines propose the models of the work of radiological rooms/departments of a healthcare facility, the procedure for conducting an examination, and recommendations for providing a description and assessing changes in the lung and chest in existing/suspected COVID-19-related pneumonia and present the schemes of X-ray and CT protocols at the initial examination and assessment of the changes.Chest X-ray has a low sensitivity for detecting initial changes in the first days of the disease and is not recommended for early diagnosis. …”
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Effects of Broad-Spectrum Antimicrobials on Patients with Community-Acquired Pneumonia with Low Risk for Drug-Resistant Pathogens: Historical Cohort Study in Japan by Takahiro Takazono, Naoki Hosogaya, Yoshiyuki Saito, Masahiko Takemura, Naoki Iwanaga, Noriho Sakamoto, Junichi Hirayama, Rie Ueno, Hiroshi Mukae

“…Thus, initial antimicrobials should be judiciously selected for CAP management.…”
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A Hybrid Data-Driven Method for Main Circuit Gound Faults Diagnosis in Electrical Traction Drive Systems by Xinyao Hou, Juntong Liu, Jinxin Zhang, Qiang Ni

“…First, the voltage signals related to the fault are selected according to the mechanism analysis of the MCGF, and then the initial feature variables are constructed according to these voltage signals. …”
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On the stability of periodic solutions in the perturbed chemostat by Frédéric Mazenc, Michael Malisoff, Patrick D. Leenheer

“…In terms of chemostat biology, this means that no matter whatpositive initial levels for the species concentration and nutrientare selected, the long-term species concentration and substratelevels closely approximate a prescribed oscillatory behavior. …”
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Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification by K. Suresh Kumar, A.S. Radha Mani, T. Ananth Kumar, Ahmad Jalili, Mehdi Gheisari, Yasir Malik, Hsing-Chung Chen, Ata Jahangir Moshayedi

“…In our approach, a hybrid machine learning model is proposed which uses Enhanced Vector Space Model (EVSM) along with Hybrid Support Vector Machine (HSVM) classifier. Initially the social media-based information is retrieved using Enhanced Vector Space Model (EVSM). …”
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Managing hepatocellular carcinoma recurrence after liver transplantation: emerging role of immune checkpoint inhibitors by Mohammad Saeid Rezaee-Zavareh, Soo Young Hwang, Naomy Kim, Hasmik Adetyan, Nguyen H. Tran, Ju Dong Yang

“…This highlights the need for improved patient selection strategies and better post-LT management to mitigate recurrence risks. …”
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Implementing Ant Colony Optimization for Multi-Robot Coordination in Unmanned Ground Robots by Muhammad Shafiq, Samar Raza Talpur, Fareed Jafri, M. Kamran Joyo, Umme Laila

“…The selection of paths and coordination for master robots with slave robots is made through the GUI Android app. …”
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Efficient Communication Using Cluster-To-Cluster Source Route Cooperative Data Transmission Approach in Wireless Ad Hoc Networks by Saravanan MURUGAN, Nithyakalyani SELVARAJAN

“…To overcome the problems, this work proposes a cluster-to-cluster source route cooperative data transmission (C2C-SRCDT) method for packet communication in WANETs. Initially, nodes in cluster formation will be created, and each node’s weights will be evaluated for cluster head (CH) selection. …”
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A Study on the Effect of Toroidal Propeller Parameters on Efficiency and Thrust by Ji Wu, Qingchun Wang, Hugh Deasy, Junyu Hang

“…Consequently, the study’s findings facilitate the selection of parameter combinations that yield higher efficiency or thrust coefficients.…”
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Analysis of ESAC-Net/EARS-Net Data from 29 EEA Countries for Spatiotemporal Associations Between Antimicrobial Use and Resistance—Implications for Antimicrobial Stewardship? by James C. McSorley

“…They have the potential to inform antimicrobial stewardship initiatives in the EEA, highlighting obstacles and shortcomings which may be modified in future to minimise positive selection for problematic resistance.…”
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Advanced internet of things enhanced activity recognition for disability people using deep learning model with nature-inspired optimization algorithms by Mohammed Maray

“…Finally, the DCAE model’s hyperparameter selection uses the zebra optimization algorithm (ZOA) model. …”
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Functional Trade-Offs in Promiscuous Enzymes Cannot Be Explained by Intrinsic Mutational Robustness of the Native Activity. by Miriam Kaltenbach, Stephane Emond, Florian Hollfelder, Nobuhiko Tokuriki

“…We propose that upon strong adaptive pressure for the new activity without selection against the original one, selected mutations will lead to the largest possible increases in the new function, but whether and to what extent they decrease the old function is irrelevant, creating a bias towards initially weak trade-offs and the emergence of generalist enzymes.…”
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Successive increases in the resistance of Drosophila to viral infection through a transposon insertion followed by a Duplication. by Michael M Magwire, Florian Bayer, Claire L Webster, Chuan Cao, Francis M Jiggins

“…This resistant allele has rapidly increased in frequency under directional selection and is now the commonest form of the gene in natural populations. …”
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Systematic review of flood resilience strategies in Lagos Metropolis: pathways toward the 2030 sustainable development agenda by Oluwagbenga Orimoogunje, Opeyemi Aniramu

“…The research utilizes the PICO (Population, Intervention, Control, and Outcomes) framework to refine research questions and follows PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines for study selection, search strategies, and data extraction. …”
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Enhancing student success prediction in higher education with swarm optimized enhanced efficientNet attention mechanism. by Meshari Alazmi, Nasir Ayub

“…In addition, we developed a novel hybrid feature selection model that combined correlation filtering with mutual information, Cross-Validation (CV) along with Recursive Feature Eliminatio (RFE) (R, and stability selection to identify the most impactful features. …”
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An Optimized Deep-Learning-Based Network with an Attention Module for Efficient Fire Detection by Muhammad Altaf, Muhammad Yasir, Naqqash Dilshad, Wooseong Kim

“…While various traditional machine learning and deep learning techniques have been proposed, their detection performances remain poor, particularly due to low-resolution data and ineffective feature selection methods. Therefore, this study develops a novel framework for accurate fire detection, especially in challenging environments, focusing on two distinct phases: preprocessing and model initializing. …”
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