Prediction of coalbed methane productivity based on neural network models by JIN Yi, ZHENG Chenhui, SONG Huibo, MA Jiaheng, YANG Yunhang, LIU Shunxi, ZHANG Kun, NI Xiaoming

“…Clarifying the influence mechanism of these factors on the productivity of coalbed methane wells is the basis for achieving fine reservoir reconstruction and increasing production of coalbed methane wells.MethodsTherefore， this paper takes Shizhuang South Block in Qinshui Basin as the research object， and comprehensively considers the geological background， reservoir physical properties and dynamic drainage data， uses neural network algorithm to carry out CBM productivity prediction. …”
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Age and sex specific thresholds for risk stratification of cardiovascular disease and clinical decision making: prospective open cohort study by Matthew Sperrin, Angela M Wood, Lois Kim, Zhe Xu, Emanuele Di Angelantonio, Stephen Kaptoge, Juliet Usher-Smith, Matthew Arnold, Lisa Pennells, Ryan Chung

“…Objective To quantify the potential advantages of using 10 year risk prediction models for cardiovascular disease, in combination with risk thresholds specific to both age and sex, to identify individuals at high risk of cardiovascular disease for allocation of statin treatment.Design Prospective open cohort study.Setting Primary care data from the UK Clinical Practice Research Datalink GOLD, linked with hospital admissions from Hospital Episode Statistics and national mortality records from the Office for National Statistics in England, 1 January 2006 to 31 May 2019.Participants 1 046 736 individuals (aged 40-85 years) with no cardiovascular disease, diabetes, or a history of statin treatment at baseline using data from electronic health records.Main outcome measures 10 year risk of cardiovascular disease, calculated with version 2 of the QRISK cardiovascular disease risk algorithm (QRISK2), with two main strategies to identify individuals at high risk: in strategy A, estimated risk was a fixed cut-off value of ≥10% (ie, as per the UK National Institute for Health and Care Excellence guidelines); in strategy B, estimated risk was ≥10% or ≥90th centile of age and sex specific risk distributions.Results Compared with strategy A, strategy B stratified 20 241 (149.8%) more women aged ≤53 years and 9832 (150.2%) more men aged ≤47 years as having a high risk of cardiovascular disease; for all other ages the strategies were the same. …”
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Active Shielding of Power Frequency Magnetic Field in Buildings in the Vicinity of the Electric Airlines by Kuznetsov B.I., Nikitina T.B., Bovdui I.V.

“…The aim is achieved by determination of the number, configuration, spatial arrangement, and currents in compensation coils, setting algorithm of the robust feed-forward active shielding system of the magnetic field, as well as the resulting value of the induction magnetic field at the points of the protected space. …”
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Measuring the Elevation Angle of an Airborne Object by Phase Direction Finding in a Multi-Ring Antenna Array by A. P. Aleshkin, V. V. Vladimirov, A. V. Chestnykh

“…In practice, after performing a number of spatial processing algorithms, the operator obtains the azimuth, range, and speed of the observed object. …”
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A Review of Integrated Optimization Method of Batch Planning and Scheduling for Steelmaking-Continuous Casting-Hot Rolling Production Under Uncertain Environment Based on Lagrangia... by Liangliang Sun, Xirang Hao, Yunpeng Li, Jinghan Xue, Natalia M. Matsveichuk, Yuri N. Sotskov, Qichun Zhang

“…It discusses the research status of batch planning and scheduling methods for SM-CC-HR production based on the Lagrangian relaxation framework, analyzes the problems existing in current research, and points out the main research directions and important research contents in the future, in order to promote the research and application of batch planning and scheduling problems for SM-CC-HR under uncertain environments.…”
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Network toxicology and molecular docking reveal key mechanisms of domoic acid neurotoxicity with bio-layer interferometry validation by Dongyao Wang, Yiping Liu, Shitao Chen, Diya Lv, Yuxiao Tang, Yan Liu, Wen Yang, Hui Shen, Lianghua Wang, Feng Lu

“…The study aims to promote a network toxicology strategy to efficiently investigate the underlying neurotoxicity molecular mechanisms of domoic acid（DA）, which is one of the main toxins of paralytic amnesic shellfish poisoning and has gained significant attention due to its ability to induce neurotoxicity. …”
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High-resolution Annual Dynamic dataset of Curve Number from 2008 to 2021 over Conterminous United States by Qiong Wu, John J. Ramirez Avila, Jia Yang, Cunxiong Ji, Shanmin Fang

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Machine Learning-Based Objective Evaluation Model of CTPA Image Quality: A Multi-Center Study by Sun Q, Liu Z, Ding T, Shi C, Hou N, Sun C

“…Feature selection was performed using the Lasso algorithm and Pearson correlation coefficient, and a random forest regression model was constructed. …”
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Investigation of the ecology of winter plankton of Lake Baikal using complex instrumental methods by E. Yu. Naumova, T. P. Rzhepka, M. M. Makarov, A. S. Olshukov, K. M. Kucher, M. Z. Magomedova, E. S. Troitskaya

“…The obtained field data will make it possible to further improve the pattern recognition algorithm in the software of the holographic installation for the specific conditions of Lake Baikal. …”
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Geometric modeling of the process of digging trench pits during pipeline repair by F. N. Pritykin, I. S. Kuznetsov

“…On the basis of the research carried out, an algorithm for automated control of the movement of the excavator bucket when digging trench pits is developed. …”
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FEATURES OF DIAGNOSTICS AND TREATMENT OF IMPACTED TEETH (A LITERATURE REVIEW) by P.S. Flis, L.O. Brodetska

“… Research rationale. Impacted teeth are those that remain partially or completely in the bony tissue or under the mucous membrane for 2 years after the term of their physiological eruption. …”
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A Review of Multimodal Interaction in Remote Education: Technologies, Applications, and Challenges by Yangmei Xie, Liuyi Yang, Miao Zhang, Sinan Chen, Jialong Li

“…These problems demand further research in the fields of algorithm optimization, access to technology guidance, and the ethical use of big data. …”
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Automated Detection and Classification of Sleep Spindles using Machine Learning and Signal Processing Techniques by Sindhu Faiza, Rehman Hafiz Zia Ur, Khan Zeashan, Moshayedi Ata Jahangir

“…Cross-validation and precision, recall, and F1 scores helped identify the best classification algorithm. This research can be integrated with the wearable technology for real-time monitoring and intervention to the next level, providing important insights into sleep spindle classification and analysis.…”
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STRATEGIC GOALS AND QUALITATIVE PROGRESS INDICATORS OF THE PROCESS OF NEO-INDUSTRIALISATION OF THE MANUFACTURING INDUSTRY IN UKRAINE by Olha Ilyash, Nataliia Semenchenko, Andrii Sachenko

“… Research subject. The article describes a system of strategic objectives and quality metrics associated with the development of neo-industrialisation processes in the manufacturing industry of Ukraine. …”
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Creation of WebQuests for Cultural Education and Refugee Integration in Germany: On the Example of Cologne by Oleksii Nalyvaiko, Olena Ronzhes

“…The methodology presented in the study included a description of the process, principles and means necessary for the organizer and other interested parties in case of reproduction of this web quest for a similar audience and in similar conditions. Results. The main results presented in the study include a clear algorithm for conducting the WebQuest “Family creative and educational quest in Cologne”, aimed at cultural adaptation and education in the field of history and iconic places of Cologne; «excursion program»; communication between different generations of families; a simple divergent task, proposed at each station of the WebQuest to creatively reinterpret the received excursion information; increasing the level of digital literacy. …”
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Possibilities of using the digital currency of the central bank in concessional lending to the agro-industrial complex by D. A. Korobeynikov

“…Prospects for further research are related to the empirical verification of the proposed provisions in the process of approbation and issuance of the digital ruble by the Bank of Russia.…”
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Optimization Strategy for Battery Swapping Station Scheduling Considering Coupling of Power Market and New Energy Source by WANG Yongli, ZHU Mingyang, ZHANG Yunfei, DONG Huanran, JIANG Sichong, LI Dexin, ZHU Jinrong, GUI Jiangyi

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Leveraging Finite-Precision Errors in Chaotic Systems for Enhanced Image Encryption by B. M. El-Den, Saad Aldosary, Haitham Khaled, Tarek M. Hassan, Walid Raslan

“…In this study, we propose an innovative encryption method that leverages finite-precision errors within chaotic systems. The algorithm generates a keystream based on lower bound error and employs standard MATLAB routines to describe its main steps, including initialization and image factor addition, Chua’s circuit simulation, error sequence generation, normalization, reshaping of the normalized sequence, and the encryption process. …”
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An Investigation in Analyzing the Food Quality Well-Being for Lung Cancer Using Blockchain through CNN by Mohamed Abdelkader Aboamer, Mohamed Yacin Sikkandar, Sachin Gupta, Luis Vives, Kapil Joshi, Batyrkhan Omarov, Sitesh Kumar Singh

“…When images are provided with excellent features and filters, the CNN accuracy improves. The main objective of this research is to comprehend how the independent variables affect the accuracy (dependent), but the reading may not be fully exact, and thus, the researcher has conceded out a minor task, which delivered evidence supportive of the analysis and against the analysis. …”
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Forecasting water quality indices using generalized ridge model, regularized weighted kernel ridge model, and optimized multivariate variational mode decomposition by Marjan Kordani, Mohsen Bagheritabar, Iman Ahmadianfar, Arvin Samadi-Koucheksaraee

“…The proposed framework includes a new hybrid machine learning (ML) model based on generalized ridge regression and kernel ridge regression with a regularized locally weighted (GRKR) method. This research developed an optimized multivariate variational mode decomposition (OMVMD) technique, optimized by the Runge-Kutta algorithm (RUN), to decompose the input variables. …”
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