Differences in drug resistance of HIV-1 genotypes in CSF and plasma and analysis of related factors by Jie Wang, Mei Li, Jungang Li, Renni Deng

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PROGNOSTIC VALUE OF DIFFERENT OBESITY MARKERS FOR CARDIOVASCULAR RISK ASSESSMENT IN URBAN EMPLOYED MONGOLIANS by K. V. Protasov, T. Myagmarsuren

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A novel anthropometric method to accurately evaluate tissue deformation by Chongyang Ye, Xiaolu Li, Haiyan Song, Yu Shi, Ruixin Liang, Jun Zhang, Ka Po Lee, Zhaolong Chen, Beibei Zhou, Raymond Kai-Yu Tong, Kit-Lun Yick, Sun-Pui Ng, Joanne Yip

“…Moreover, a novel anthropometric method based on image recognition algorithms that systematically measures and evaluates tissue deformation while minimizing the impact of the effects of motion is proposed. …”
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Identification for internal reference genes in different periods of granulosa cells of Tianfu meat geese by MO Yuanliang, WANG Yushi, WANG Jiwen

“…By constructing a standard curve, between C_q value and the logarithm of relative copy number exhibited a good linear relationship in the serial dilution concentration gradient. Based on the evaluation results of four different algorithms, SDH, HMBS and 18S were found to be three of the most stable reference genes, but UBC, GAPDH and TUB were three of the least stable reference genes in the different periods of granulosa cells. …”
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Fuzzy LQR-based control to ensure comfort in HVAC system with two different zones by Elif Çinar, Tayfun Abut

“…Comfort conditions were achieved by cooling the temperatures of two different regions from the ambient temperature to approximately 7 °C. …”
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EEG Microstate Dynamics during Different Physiological Developmental Stages and the Effects of Medication in Schizophrenia by Shihai Ling, Lingyan Du, Xi Tan, Guozhi Tang, Yue Che, Shirui Song

“…After pre-processing, EEG data from different groups were subjected to microstate analysis, and the K-Means clustering algorithm was applied to classify the data into 4 microstates. …”
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Examination and Tracing of Stable Isotopes of Carbon and Hydrogen in Diesel Oil from Different Regions by Han-yu ZHANG, Zhao-wei JIE, Han-yang ZHENG, Xiao-han ZHU, Wei-ya XIE, Can HU, Zhan-fang LIU, Hong-ling GUO, Jun ZHU, Hong-cheng MEI

“…The results showed significant regional differences are in the carbon and hydrogen isotope ratios of diesel n-alkanes. …”
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Comparison of different downscaling schemes for obtaining regional high-resolution soil moisture data by Yulin Shangguan, Cheng Tong, Zhou Shi, Hongquan Wang, Xiaodong Deng

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Comparison of Different HIV-1 Resistance Interpretation Tools for Next-Generation Sequencing in Italy by Daniele Armenia, Luca Carioti, Valeria Micheli, Isabella Bon, Tiziano Allice, Celestino Bonura, Bianca Bruzzone, Fiorenza Bracchitta, Francesco Cerutti, Giovanni Maurizio Giammanco, Federica Stefanelli, Maria Addolorata Bonifacio, Ada Bertoli, Marialinda Vatteroni, Gabriele Ibba, Federica Novazzi, Maria Rosaria Lipsi, Nunzia Cuomo, Ilaria Vicenti, Francesca Ceccherini-Silberstein, Barbara Rossetti, Antonia Bezenchek, Francesco Saladini, Maurizio Zazzi, Maria Mercedes Santoro

“…Background: Next-generation sequencing (NGS) is gradually replacing Sanger sequencing for HIV genotypic drug resistance testing (GRT). This work evaluated the concordance among different NGS-GRT interpretation tools in a real-life setting. …”
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Meta-Learning-Based Prediction of Different Corn Cultivars from Color Feature Extraction by Abdullah Beyaz, Dilara Gerdan

“…One hundred samples were used for each corn cultivar, and 300 corn grains in total were used for evaluations. Each of nine color parameters (Rmin, Rmean, Rmax, Gmin, Gmean, Gmax, Bmin, Bmean, Bmax) which were obtained from original RGB color channels with maximum and minimum values was evaluated from the digital images of three different corn cultivar grains. …”
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A novel hybrid genetic algorithm and Nelder-Mead approach and it’s application for parameter estimation [version 3; peer review: 2 approved, 1 approved with reservations] by Neha Majhi, Rajashree Mishra

“…Results GANMA outperforms traditional optimization methods in terms of robustness, convergence speed, and solution quality. The hybrid algorithm excels across different function landscapes, including those with high dimensionality and multimodality, which are often encountered in real-world optimization issues. …”
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Towards Analysable Chaos-based Cryptosystems: Constructing Difference Distribution Tables for Chaotic Maps by Je Sen Teh, Abubakar Abba

“…This paper introduces a straightforward approach of using chaotic maps in cryptographic algorithms in a way that facilitates cryptanalysis. …”
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Different Modes of Monitoring and Correction of Cardiac Function During Operations Under Extracorporeal Circulation by L. A. Krichevsky, I. A. Kozlov

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Differences in parameter estimates derived from various methods for the ORYZA (v3) Model by Jun-wei TAN, Qing-yun DUAN, Wei GONG, Zhen-hua DI

“…Parameter values may vary with different inversion methods due to equifinality and differences in the estimating processes. …”
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Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images by Bo Wei, Yili Zhang, Linshan Liu, Binghua Zhang, Dianqing Gong, Changjun Gu, Lanhui Li, Basanta Paudel

“…Subsequently, the Canny edge detection algorithm was applied to identify vegetation edge pixels, and elevation differences were utilized to determine the upper edges of the vegetation. …”
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PROBLEM SETTING AND SOLUTION OF THE RESPONSE CORRECTION OF ARRIVAL AND DEPARTURE AIR TRAFFIC FLOW IN THE VICINITY OF THE FIELD BY MEANS OF THE GENETIC ALGORITHM by G. N. Lebedev, V. B. Malygin, D. A. Mikhaylin

“…The estimation of additional aviation fuel consumption is used as optimal choice evaluation criterion.The advantages of the genetic algorithm application at decision-making in comparison with today’s “team” solution of the conflict “departure – arrival” in the airfield area are shown.…”
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Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms by Samet Gürgen

“…This study aimed to perform algorithm performance for STHE optimization by integrating a fair evaluation approach. …”
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Improved self-calibration image enhancement algorithm based on attention mechanism and its application in maritime low-light images by Li SU, Shihao CUI

“…The results show that when compared with the original unimproved algorithm, the improved algorithm not only improves the image brightness, but also provides higher color richness and no color distortion, while improving the standard deviation by an average of 20.01%, reducing the natural image quality evaluation by 9.16%, and improving the average gradient and information entropy by 23.68% and 6.46% respectively.ConclusionThe improved algorithm represents a breakthrough in image visual quality, enabling the better enhancement of maritime low-light images in different environments.…”
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Integration of the reptile search algorithm and the adaptive neuro-fuzzy inference system enhances standardized precipitation evapotranspiration index forecasting by Zahra Kayhomayoon, Mohammad Javad Bahmani, Sami Ghordoyee Milan, Ommolbanin Bazrafshan, Ronny Berndtsson

“…Abstract A novel metaheuristic algorithm called the reptile search algorithm (RSA) was introduced in conjunction with artificial neural fuzzy inference system (ANFIS) for the estimation of standardized precipitation evapotranspiration index (SPEI). …”
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Efficient Discovery of Association Rules in E-Commerce: Comparing Candidate Generation and Pattern Growth Techniques by Ioan Daniel Hunyadi, Nicolae Constantinescu, Oana-Adriana Țicleanu

“…This paper addresses this gap by evaluating both algorithms in terms of execution time, memory consumption, rule generation volume, and rule strength (support, confidence, and lift). …”
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