Identification and evaluation of biomarkers for diagnosis of chronic hepatitis B using RNA-seq by Hong Hong, Xintong Han, Qiuxiang Hu, Huafeng Song, Bing Han

“…Background & aim: Chronic hepatitis B (CHB) is a global public health problem affecting hundreds of millions of people and is associated with significant morbidity and mortality of liver cancer. …”
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Development of a Predictive Model for Estimating Stocks of Medicinal Plants Using GIS Tools on the Example of the Middle Urals by A. Yu. Turyshev, V. D. Belonogova, V. G. Luzhanin

“…Therefore, the inventory of stocks of medicinal plants in the Russian Federation as a whole and the Middle Urals, in particular, remains an urgent problem. Unfortunately, modern technologies are not being implemented intensively enough in the domestic pharmacy. …”
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Seeing Is Believing: on the Visibility of Late Capitalism by Gordan Maslov

“…Rejecting the “false” debates around the (non)political nature of Marx’s magnum opus, Jameson claims that it is a figural work since by using different forms of value, space, time, and mediation, it ends up constructing a kind of ‘proto-narrative’ representation of capitalism as totality. …”
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MODELING THE SPREAD OF COVID-19 DISEASE WITH TIME DELAY IN PONTIANAK CITY by Fatma Arum Fatonah, Evi Noviani, Meliana Pasaribu

“…This article aims to analyze the influence of the delay time in modeling the spread of Covid-19. The problem of COVID-19 spread is constructed into an SIQR model, with a sub-population of recovered individuals returning to the susceptible sub-population. …”
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Localization and ambiguity resolution algorithm for time-difference fusion of three satellites based on observation filtering by Yanli Zhang, Haoquan Wang, Jingfeng Zheng, Lei Hua, Rui Zhang, Jian Xie

“…The time-difference equation observed during the satellite overhead is combined with the elevation observation equation to construct the cost function for the overdetermined case, and the nonlinear least squares problem is solved based on Gaussian-Newton iteration. …”
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Approaches to Regulating Relations in the Sphere of Developing and Using the Artificial Intelligence Technologies: Features and Practical Applicability by O. S. Erahtina

“…Objective: to review the modern scientific approaches to regulating relations in the sphere of using the artificial intelligence technologies; to reveal the main features and limitations of using the risk-oriented and technological approaches in order to determine the directions of their further development.Methods: the methodological basis of the research is a set of scientific cognition methods, including the general scientific dialectic method and the universal scientific methods (analysis and synthesis, comparison, summarization, structural-functional, and formal-logical methods).Results: it was determined that the use of the risk-oriented approach implies building constructive models of risk management. A significant issue in using this approach is the bases of referring the artificial intelligence technologies to high-risk ones. …”
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THE THEORY OF CIVILIZATIONS THROUGH THE LENS OF CONTEMPORARY HUMANITIES by T. V. Danylova

“…We need to unite our efforts for the sake of human survival. It is only by a constructive and respectful dialogue that humanity will truly overcome mutual misunderstanding, controversy, and aggressiveness. …”
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Skin Cancer Image Classification Using Artificial Intelligence Strategies: A Systematic Review by Ricardo Vardasca, Joaquim Gabriel Mendes, Carolina Magalhaes

“…The increasing incidence of and resulting deaths associated with malignant skin tumors are a public health problem that can be minimized if detection strategies are improved. …”
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Impact Resistance Behavior of Reinforced Concrete Beams Deteriorated due to Repeated Freezing and Thawing by Yusuke Kurihashi, Yoshinori Nonomura, Hisashi Konno

“…Many existing reinforced concrete (RC) structures constructed more than 50 years ago now require maintenance. …”
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Modelling hair follicle growth dynamics as an excitable medium. by Philip J Murray, Philip K Maini, Maksim V Plikus, Cheng-Ming Chuong, Ruth E Baker

“…In this study we seek to address this problem by describing how the growth dynamics of a large population of follicles can be treated as a classical excitable medium. …”
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Leveraging ensemble learning-based stock preselection with multiobjective investment optimization for stepwise decision-supported portfolio management by Jui-Sheng Chou, Tran-Bao-Quyen Pham

“…This stage leverages a newly developed algorithm tailored to address the expanded mean–variance problem, effectively decomposing and optimizing it while balancing multiple objectives. …”
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A new three-dimensional mesh modeling method for geological bodies containing complex faults in geological engineering by Wenli Gao, Xinming Lu, Shengzhe Hou, Tianyu Zhang, Wenting Liu

“…This strategy transforms the integration of complex three-dimensional models into a triangulation problem for simple two-dimensional polygons, ensuring topologically consistent and computationally efficient merging. …”
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Solar Wind Speed Prediction via Graph Attention Network by Yanru Sun, Zongxia Xie, Haocheng Wang, Xin Huang, Qinghua Hu

“…Furthermore, we leverage the autoregressive model to solve the scale insensitive problem of the neural network, making our model more robust. …”
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A comparative analysis of variants of machine learning and time series models in predicting women’s participation in the labor force by Rasha Elstohy, Nevein Aneis, Eman Mounir Ali

“…Labor force participation of Egyptian women has been a chronic economic problem in Egypt. Despite the improvement in the human capital front, whether on the education or health indicators, female labor force participation remains persistently low. …”
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Location privacy protection method based on lightweight K-anonymity incremental nearest neighbor algorithm by Saite CHEN, Weihai LI, Yuanzhi YAO, Nenghai YU

“…The use of location-based service brings convenience to people’s daily lives, but it also raises concerns about users’ location privacy.In the k-nearest neighbor query problem, constructing K-anonymizing spatial regions is a method used to protects users’ location privacy, but it results in a large waste of communication overhead.The SpaceTwist scheme is an alternative method that uses an anchor point instead of the real location to complete the k-nearest neighbor query,which is simple to implement and has less waste of communication overhead.However,it cannot guarantee K-anonymous security, and the specific selection method of the anchor point is not provided.To address these shortcomings in SpaceTwist, some schemes calculate the user’s K-anonymity group by introducing a trusted anonymous server or using the way of user collaboration, and then enhance the end condition of the query algorithm to achieve K-anonymity security.Other schemes propose the anchor point optimization method based on the approximate distribution of interest points, which can further reduce the average communication overhead.A lightweight K-anonymity incremental nearest neighbor (LKINN) location privacy protection algorithm was proposed to improve SpaceTwist.LKINN used convex hull mathematical tool to calculate the key points of K-anonymity group, and proposed an anchor selection method based on it, achieving K-anonymity security with low computational and communication costs.LKINN was based on a hybrid location privacy protection architecture, making only semi-trusted security assumptions for all members of the system, which had lax security assumptions compared to some existing research schemes.Simulation results show that LKINN can prevent semi-trusted users from stealing the location privacy of normal users and has smaller query response time and communication overhead compare to some existing schemes.…”
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Information-extreme machine learning of wrist prosthesis control system based on the sparse training matrix by Suprunenko M. K., Zborshchyk O. P., Sokolov O.

“…The article considers the problem of machine learning of a wrist prosthesis control system with a non-invasive biosignal reading system. …”
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A Novel Graph Reinforcement Learning-Based Approach for Dynamic Reconfiguration of Active Distribution Networks with Integrated Renewable Energy by Hua Zhan, Changxu Jiang, Zhen Lin

“…Firstly, a nonlinear stochastic optimization mathematical model for the ADNDR is constructed, taking into account the uncertainty of sources and loads. …”
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Methodical basis for organization of repair-track works on sections at long-term closures with providing them by "in transit" technology by A. T. Os'minin, E. A. Sotnikov, M. A. Os'minin

“…The principles of constructing variant train schedule on single-track lines was developed with the definition of sections and segments for which the execution of repair works is performed by in transit technology. …”
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CSDK: A Chi-square distribution-Kernel method for image de-noising under the Internet of things big data environment by Lin Teng, Hang Li

“…First, the Chi-square distribution-Kernel model is constructed to find the customized threshold that corresponds to the de-noised image. …”
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Dynamic weighing method for coal and gangue in coal-gangue sorting robots by CAO Xiangang, LIU Yizhe, WU Xudong, WANG Peng, ZHANG Ye

“…The model was able to achieve secondary recognition between coal and gangue when their density difference exceeded 0.35 g/cm3, effectively solving the problem of low recognition accuracy under complex real-world conditions.…”
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