Integrated Simulation and Optimization of Reservoir‐Wellbore‐Surface Systems in Ultrahigh Water Cut Oil Fields by Hongmin Yu, Peng Wang, Youqi Wang, Lei Tang, Jianyong Wang, Qinglin Shu, Shengxian Yang, Yangwen Zhu, Yuanyuan Wu, Xiaojun Li, Jian Xia

“…This study primarily examined the integrated production simulation and optimization process for the reservoir, wellbore, and surface facilities, encompassing tasks such as • Data organization and analysis • Model creation and coupling • Historical matching • System diagnostics • Potential assessment • Holistic optimization • Dynamic forecasting Based on these efforts, the technical procedures for the integrated simulation of ultrahigh water cut oil fields were summarized. …”
Get full text

Neural Network-Based Predictive Control of COVID-19 Transmission Dynamics to Support Institutional Decision-Making by Cristina-Maria Stăncioi, Iulia Adina Ștefan, Violeta Briciu, Vlad Mureșan, Iulia Clitan, Mihail Abrudean, Mihaela-Ligia Ungureșan, Radu Miron, Ecaterina Stativă, Michaela Nanu, Adriana Topan, Ioana Nanu

“…The abundance of data has been essential in creating models to simulate and forecast the dissemination of infectious illnesses, aiding governments and health organizations in making educated decisions. …”
Get full text

Designning a Model for Measuring the Effectiveness of Faraja Car Repair Centers by Milad Aghai, Saied Ramezan Zadeh, Rahman Yousefi

“…To analyze the interviews, the theme analysis method was used, and to analyze the questionnaire data, structural equation modeling and the best-worst BWM decision method were used. …”
Get full text

Energy Management System for Renewable Energy and Electric Vehicle-Based Industries Using Digital Twins: A Waste Management Industry Case Study by Andrés Bernabeu-Santisteban, Andres C. Henao-Muñoz, Gerard Borrego-Orpinell, Francisco Díaz-González, Daniel Heredero-Peris, Lluís Trilla

“…The study confirms the effectiveness of digital twins for forecasting and performance analysis in complex energy systems. …”
Get full text

Predictors of unfavorable responses to therapy in rifampicin-sensitive pulmonary tuberculosis using an integrated approach of radiological presentation and sputum mycobacterial bur... by Narendran Gopalan, Vignes Anand Srinivasalu, Ponnuraja Chinnayan, Banurekha Velayutham, Adhin Bhaskar, Ramesh Santhanakrishnan, Thirumaran Senguttuvan, Sridhar Rathinam, Mahilmaran Ayyamperumal, Kumar Satagopan, Dhanalakshmi Rajendran, Tamizhselvan Manoharan, Sekar Lakshmanan, Paulkumaran Paramasivam, Dhanalakshmi Angamuthu, Mangalambal Ganesan, John Washington Easudoss Arockia, Ramesh Babu Venkatesan, Venkatesan Lakshmipathy, Shivakumar Shanmugham, Balaji Subramanyam, Shakila Shankar, Jawahar Mohideen Shaheed, Baskaran Dhanaraj, Narayanan Paranji Ramiyengar, Soumya Swaminathan, Padmapriyadarsini Chandrasekaran

“…In the multivariate analysis, the adjusted hazards ratios (HR) for an unfavorable response to TB therapy for extent of involvement, baseline cavitation and persistence (post treatment) were 1.21 (95% CI: 1.01-1.44), 1.73 (95% CI: 1.05-2.84) and 2.68 (95% CI: 1.4-5.12) respectively. …”
Get full text

Contrast-enhanced ultrasound radiomics model for predicting axillary lymph node metastasis and prognosis in breast cancer: a multicenter study by Shi Yu Li, Yue Ming Li, Yong Qi Fang, Zhi Ying Jin, Jun Kang Li, Xiao Meng Zou, Si Si Huang, Rui Lan Niu, Nai Qing Fu, Yu Hong Shao, Xuan Tong Gong, Mao Ran Li, Wei Wang, Zhi Li Wang

“…In the meantime, Radscore was computed and integrated with immunoinflammatory markers to forecast Disease-Free Survival (DFS) in breast cancer patients. …”
Get full text

Dynamic Migration Pattern of Groundwater and Deformation Mechanism in Cataclastic Bedding Rock Landslides: A Case Study of Muyubao Landslide in Three Gorges Reservoir Area by DENG Mao-lin, LIANG Zhi-kang, WANG Guo-fa, WANG Biao, ZHOU Lu-lu, WAN Hang, PENG Xu, SU Peng-min, ZHU Xiao-han

“…Given known reservoir water levels, it is possible to forecast groundwater level based on reservoir water level and rainfall data, and further predict slope deformation based on the groundwater level. …”
Get full text

Interpretable prediction model for hand-foot-and-mouth disease incidence based on improved LSTM and XGBoost by Xiao LI, Shuyu HE, Yan PENG, Rongxin YANG, Lu TAO, Tingqi LOU, Wenqi HE

“…Accurate and reliable forecasting of daily hand-foot-and-mouth disease (HFMD) cases is imperative for promptly implementing preventive and timely intervention measures. …”
Get full text

Quality management system in vocational education of the Republic of Belarus: Improvement strategy by V. N. Golubovsky

“…The methodological framework is based on the provisions of the holistic approach to examine the problem of ensuring the quality of labour force training from all angles, to determine the techniques of forecasting and planning the development of the vocational education system holistically. …”
Get full text

A Generative Super‐Resolution Model for Enhancing Tropical Cyclone Wind Field Intensity and Resolution by Joseph W. Lockwood, Avantika Gori, Pierre Gentine

“…Abstract Extreme winds associated with tropical cyclones (TCs) can cause significant loss of life and economic damage globally, highlighting the need for accurate, high‐resolution modeling and forecasting for wind. However, due to their coarse horizontal resolution, most global climate and weather models suffer from chronic underprediction of TC wind speeds, limiting their use for impact analysis and energy modeling. …”
Get full text

Effects of Background Solar Wind and Drag Force on the Propagation of Coronal-mass-ejection-driven Shocks by Chin-Chun Wu, Kan Liou, Brian E. Wood, Lynn Hutting

“…This is also demonstrated in our global MHD simulations. Analysis of our simulation result indicates that the drag force indirectly plays an important role in the shock propagation. …”
Get full text

Predicting Travel Insurance Purchases in an Insurance Firm through Machine Learning Methods after COVID-19 by Shiuh Tong Lim, Joe Yee Yuan, Khai Wah Khaw, XinYing Chew

“…By employing advanced machine learning techniques, this study aims to forecast the consumer segments most inclined to acquire travel insurance, allowing targeted strategies to be developed. …”
Get full text

Integrative management of infrastructure and traction equipment at the railway area by N. F. Sirina, S. S. Yushkova

“…Transition to the ground process of trains’ movement control allows JSC “RZD” to arrange rhythmic movement of the car traffic movement providing “gaps” in the single opening for the entire ground.Conducted SWOT-analysis determined the risks and potential results of use of the single infrastructure of the railway area in terms of possible additional expenses in the future. …”
Get full text

Wavelet transform couple long short-term memory neural network for profiling of Ganga water pollution and its prediction approaches by S. Singh, S.K. Singh, R. Singh

“…This investigation shows the effectiveness of the model, which can give theoretical along with practical observations for the forecast towards prevention, control, and mitigate the overall river water pollution and stabilize the sustainable environment for the future.…”
Get full text

Research on the prediction model of gas emission based on grey system theory by Liyang Bai, Hui Geng, Guangming Yu

“…In order to improve the prediction accuracy of gas emission volume.A prediction model of gas emission based on grey system theory is proposed.11 indexes such as gas content, coal seam depth, coal seam thickness, coal seam dip angle and inclined length of working face are selected as the influencing factors of gas emission.The weight of each factor is determined by grey correlation analysis. The related factors with a grey correlation degree greater than 0.7, from largest to smallest, are: coal seam gas content X1 > coal seam thickness X3 > mining intensity X11 > coal seam depth X2 > adjacent gas content X8.Combined with the field measured data, three grey prediction models for predicting gas emission are determined.After a posterior difference test, the accuracy of GM (0,12) model is excellent.By comparing the predicted data of the model with the actual data, it shows that the GM (0,N) model has good forecasting results.At the same time, in order to prove the advantages of GM (0,N) model, the prediction results are compared with those of multiple linear regression model.The prediction results of GM (0,N) model and multiple linear regression model are compared.The prediction results show that the relative error of GM (0,12) model is 0.799%,the relative error of multiple linear regression model is 3.643%.It shows that GM (0,12) model can better predict gas emission.…”
Get full text

A radiogenomics study on 18F-FDG PET/CT in endometrial cancer by a novel deep learning segmentation algorithm by Xuanyi Li, Weijun Shi, Qianwen Zhang, Xinhui Lin, Hongzan Sun

“…Abstract Objective To create an automated PET/CT segmentation method and radiomics model to forecast Mismatch repair (MMR) and TP53 gene expression in endometrial cancer patients, and to examine the effect of gene expression variability on image texture features. …”
Get full text

Identifying the social mechanisms for multiracial-monoracial health disparities by Yoonyoung Choi, Likun Cao, Jacob Tarrence, Hui Zheng, Zhenchao Qian

Get full text

On the Issue of Predicting Global Financial and Economic Crises by Yu. A. Danilov, D. A. Pivovarov, I. S. Davydov

“…Assumptions about the impending new global crisis, which are increasingly found in expert discussions, have intensified the search for reliable crisis predictors, despite the existing theoretical consensus on the fundamental impossibility of forecasting crises. The purpose of the article is to describe the most popular “new” crisis predictors and evaluate their predictive properties. …”
Get full text

Biological laterality and peripheral nerve DTI metrics. by Scott A Holmes, Steven J Staffa, Anastasia Karapanagou, Natalia Lopez, Victoria Karian, Ronald Borra, David Zurakowski, Alyssa Lebel, David Borsook

“…<h4>Conclusion</h4>For the evaluation of nerve measures using DWI and MTI, in either healthy or disease states, consideration of underlying biological metrics of laterality in peripheral nerve fiber characteristics need to considered for data analysis. Integrating knowledge regarding biological laterality of peripheral nerve microstructure may be applied to improve how we diagnosis pain disorders, how we track patients' recovery and how we forecast pain chronification.…”
Get full text

Aviation industry technological sovereignty optimization problem formulation by I. Y. Bodrova, A. V. Gostev, G. D. Fainburg

“…The authors performed a comparative analysis of the forecast of fleet retirement and commissioning of newly developed aviation equipment based on the available statistical data on the operation of short-haul aircraft. …”
Get full text