Confidence sharing: an economic strategy for efficient information flows in animal groups. by Amos Korman, Efrat Greenwald, Ofer Feinerman

“…We also show that this algorithm is minimal, in the sense that further reduction in communication may significantly reduce performances. …”
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Self-Optimization of Pilot Power in Enterprise Femtocells Using Multi objective Heuristic by Lina S. Mohjazi, Mahmoud A. Al-Qutayri, Hassan R. Barada, Kin F. Poon, Raed M. Shubair

“…The algorithm was also compared with the fixed pilot power scheme. …”
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Maximum Power Extraction in Photovoltaic Systems Using High-Performance Adaptive Control Approach by Ahmed Ouaret, Hocine Lehouche, Adel Oubelaid, Arvind Yadav, Boubekeur Mendil, Ievgen Zaitsev

“…When compared to traditional control methods, the proposed approach demonstrates significant improvements, notably in terms of power extraction efficiency and system loss reduction. Moreover, the control algorithm effectively ensures accurate tracking of set points. …”
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Numerical Simulation of Wind-Induced Vibration Response Characteristics of High-Rise Buildings with Podiums by Guangbiao Jiang, Zeyan Chen, Hongxi Qin, Linlei Dong, Ao Tang

“…High-rise building structures with podiums are widely present, and establishing a fast numerical prediction method to evaluate their wind-induced response characteristics is of great significance for engineering applications. …”
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An Anomaly Detection Method for Multivariate Statistical Process Based on POT by Dazhi ZHANG, Xiaoyu LUO, Sheng ZHENG

“…Considering the limitations of fixed thresholds and manual detection methods, which are difficult to adapt to the dynamic changes in time series data, this paper proposes an anomaly detection method based on peaks-over-threshold (POT) algorithm for multivariate statistical processes. [Method] The principal component analysis (PCA) method was adopted to construct an anomaly detection model, where the squared prediction error (SPE) statistic of the model served as the initial threshold for the POT algorithm. …”
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Screening of potential regulatory genes in carotid atherosclerosis vascular immune microenvironment. by Yi Zhang, Lingmin Zhang, Yunfang Jia, Jing Fang, Shuancheng Zhang, Xianming Hou

“…Finally, the hub genes PTPRC, ACTN2, ACTC1, LDB3, MYOZ2, and TPM2 had satisfactory efficacy in the diagnosis and prediction of high and low immune cell infiltration in CAS and distinguishing between early and advanced CAS samples.…”
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China Aerosol Raman Lidar Network (CARLNET)—Part I: Water Vapor Raman Channel Calibration and Quality Control by Nan Shao, Qin Wang, Zhichao Bu, Zhenping Yin, Yaru Dai, Yubao Chen, Xuan Wang

“…In order to meet demands for high-precision water vapor and aerosol observations for numerical weather prediction (NWP), the China Meteorological Administration (CMA) deployed 49 Raman aerosol lidar systems and established the first Raman–Mie scattering lidar network in China (CARLNET) for routine measurements. …”
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Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

“…The simulation results show that the safe and reliable operation of the distribution-microgrid market can be effectively improved under the uncertainty of the source load prediction, and the new energy consumption rate and economic benefits of the interconnected system can be improved.…”
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Application of RNA-seq for single nucleotide variation identification in a cohort of patients with hypertrophic cardiomyopathy by Anastasia Chumakova, Ivan Vlasov, Elena Filatova, Anna Klass, Andrey Lysenko, Gennady Salagaev, Maria Shadrina, Petr Slominsky

“…To identify variants potentially associated with HCMP pathogenesis, a filtration process was conducted based on minor allele frequency, substitution prediction score and ClinVar outcome. 214 missense mutations and 6 nonsense mutations were selected. …”
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Method of evaluation of the extent of skeletal forms of malocclusion by I. N. Zhmyrko, N. S. Drobysheva

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Analytical Synthesis of Regulators for Nonlinear Systems with a Terminal State Method on Examples of Motion Control of a Wheeled Robot and a Vessel by E. A. Shushlyapin, A. E. Bezuglaya

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Evaluating Critical Success Factors in AI-Driven Drug Discovery Using AHP: A Strategic Framework for Optimization by Amir Mohamed Talib, Areen Metib Al-Hgaish, Rodziah Binti Atan, Abdulaziz Alshammari, Fahad Omar Alomary, Razali Yaakob, Abdulaziz Alsahli, Mohd Hafeez Osman

“…This comprehensive evaluation is a valuable resource for researchers and industry professionals, facilitating the strategic adoption of AI and bridging the gap between computational predictions and real-world therapeutic outcomes.…”
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Reconsidering CPR protocols: Exploring hypernatremia's role in ventricular tachycardia from a case report by Arthur Gavotto, Jean-Yves Le Guennec, Cyril Amouroux, Pascal Champeroux, Angelo Polito, Jérôme Thireau, Alain Lacampagne, Gilles Cambonie

“…Conclusion: In silico modelling can help to predict arrhythmia risk and to select the best strategies. …”
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Evaluation of agriculture land transformations with socio-economic influences on wheat demand and supply for food sustainability by Danish Raza, Hong Shu, Muhsan Ehsan, Hong Fan, Kamal Abdelrahman, Hasnat Aslam, Abdul Quddoos, Rana Waqar Aslam, Majid Nazeer, Mohammed S. Fnais, Azeem Sardar

“…Third, population dynamics were examined by applying an exponential growth model to forecast population growth and predict food demand. These findings necessitate the integrated methodological development for wheat demand and supply mechanisms using the two-step floating catchment area (2SFCA) approach for a more thorough analysis of socioeconomic developments. …”
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Artificial Intelligence-Based Methodologies for Early Diagnostic Precision and Personalized Therapeutic Strategies in Neuro-Ophthalmic and Neurodegenerative Pathologies by Rahul Kumar, Ethan Waisberg, Joshua Ong, Phani Paladugu, Dylan Amiri, Jeremy Saintyl, Jahnavi Yelamanchi, Robert Nahouraii, Ram Jagadeesan, Alireza Tavakkoli

“…When integrated with artificial intelligence (AI) algorithms, these techniques achieve unprecedented diagnostic precision, facilitating early detection of neurodegeneration and inflammation. …”
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Automatic maxillary sinus segmentation and age estimation model for the northwestern Chinese Han population by Yu-Xin Guo, Jun-Long Lan, Wen-Qing Bu, Yu Tang, Di Wu, Hui Yang, Jia-Chen Ren, Yu-Xuan Song, Hong-Ying Yue, Yu-Cheng Guo, Hao-Tian Meng

“…The regression model performed best, with mean absolute errors (MAE) of 1.45 years (under 18) and 3.51 years (aged 18 and above), providing relatively precise age predictions. Conclusion The maxillary sinus-based model is a promising tool for age estimation, particularly in adults, and could be enhanced by incorporating additional variables like dental dimensions.…”
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Carrying out entrance control of “Informatics” students’ knowledge with use of specialized computer system by L. V. Larina

“…The results of approbation of system, which have shown efficiency of its use in educational process, are given including those on the stage of entrance control. …”
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DEVELOPMENT OF A PERSONALIZED MEAT PRODUCT USING STRUCTURAL-PARAMETRIC MODELING by Andrey B. Lisitsyn, Irina M. Chernukha, Marina A. Nikitina

“…The algorithm of a substantiated optimal choice of mass fractions of components (ingredients) of the food recipe composition is given. …”
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Classification and Comparison of Eight Different Growth Curve Methods for Pekin Duck by Hasan Önder, Mine Yılmaz, Mustafa Şahin, Uğur Şen, Sibel Bozkurt, Kadir Erensoy, İsmail Gök, Tolga Tolun, Ahmet Uçar

“…These models can be used for predicting body weight for a specific age from a dimensional perspective. …”
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Interpretable XGBoost model identifies idiopathic central precocious puberty in girls using four clinical and imaging features by Lu Tian, Yan Zeng, Helin Zheng, Jinhua Cai

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