Numerical simulation of post-fracturing flowback considering fracturing fluid imbibition by WANG Jiwei, QU Zhanqing, GUO Tiankui, CHEN Ming, LÜ Mingkun

“…Based on the oil-water two-phase seepage theory, Bernoulli equation and the continuity equation, we establish a numerical simulation model of post-fracturing flowback by considering the effect of fracturing fluid imbibition and obtain the pressure and flowback rate during the flowback process through programmed numerical calculation. …”
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Robust fault detection in electrochemical energy storage systems under label noise: applications to lithium-ion batteries and transformer windings by Tao He, Wei Liu, Xin Wu, Yu Wei

“…However, the performance of machine learning-based fault diagnosis models is often degraded in practice due to label noise in training data, caused by sensor inaccuracies, ambiguous fault transitions, and imperfect labeling processes. …”
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Analysis of Mammography BI-RADS Distribution and Follow-up Ultrasound Assessment: A Single-Center Study by Kankaya B, Buyukasik S, Altundal YE, Topcu FS, Rahmanbakhsh P, Etemad A, Kapan S, Alis H

“…No: 4, Kucukcekmece, Istanbul, 34295, Turkiye, Email yusufemrealtundal@aydin.edu.trPurpose: Our study has three main aims: 1) to assess the distribution of Breast Imaging Reporting and Data System (BI-RADS) classifications in a cohort of Turkish women undergoing screening mammography, 2) to analyze the frequency and non-completion rates of recommended follow-up ultrasound (US) examinations, and 3) to examine the outcomes of completed follow-up US examinations. …”
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The Near-Surface Vertical Variability of Aerosol Single-Scattering Properties over Warsaw: Case Study by Michał T. Chiliński, M. Broda, K. Nurowska, K. M. Markowicz

“…Notably, under strong surface inversion conditions (lapse rate > 8 °C/100 m), the ASC between edge stations (163 m of vertical difference) variates by 30%. …”
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An Experimental Study of Heat and Mass Transfer in a Falling Liquid Film Evaporation into a Crossflow of Neutral Gas by Lukashov V. K., Kostiuchenko Y. V., Timofeev S. V., Ochowiak M.

“…A generalization of the experimental data made it possible to obtain empirical equations for calculating these coefficients.…”
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Mechanisms of sand production, prediction–a review and the potential for fiber optic technology and machine learning in monitoring by Dejen Teklu Asfha, Abdul Halim Abdul Latiff, Daniel Asante Otchere, Bennet Nii Tackie-Otoo, Ismailalwali Babikir, Muhammad Rafi, Zaky Ahmad Riyadi, Ahmad Dedi Putra, Bamidele Abdulhakeem Adeniyi

“…The future vision outlined in this review includes developments in automation, data processing methods, and sensor technologies, which should improve the precision and dependability of sand production predictions and mitigation. …”
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Intelligent End-Edge Computation Offloading Based on Lyapunov-Guided Deep Reinforcement Learning by Xue Feng, Chi Xu, Xi Jin, Changqing Xia, Jing Jiang

“…We formulate a network computation rate maximization problem while balancing constraints including offloading time, CPU frequency, energy consumption, transmission power, and data queue stability. …”
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A fiber optic approach for cement placement and hydration assessment of deep geothermal boreholes by Johannes Hart, Berker Polat, Christopher Wollin, Martin Lipus, Felix Schölderle, Toni Ledig, Philippe Jousset, Thomas Reinsch, Charlotte M. Krawczyk

“…We show that distributed dynamic strain rate sensing (DDSS or DAS) allows for tracking rising fluid interfaces, determining the setting time of cement, and assessing the cement job’s success at each depth. …”
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Complex Rupture of an Immature Fault Zone: A Simultaneous Kinematic Model of the 2019 Ridgecrest, CA Earthquakes by D. E. Goldberg, D. Melgar, V. J. Sahakian, A. M. Thomas, X. Xu, B. W. Crowell, J. Geng

“…We investigate the rupture process of these events using a novel simultaneous kinematic slip method with joint inversion of high‐rate GNSS, strong motion, GNSS static offset, and Interferometric Synthetic Aperture Radar data. …”
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The RNA polymerase dictates ORF1 requirement and timing of LINE and SINE retrotransposition. by Emily N Kroutter, Victoria P Belancio, Bradley J Wagstaff, Astrid M Roy-Engel

“…In our tissue culture system, the process of L1 insertion requires close to 48 hours. …”
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Implementation of Class-Based Storage for Garment Accessories Warehouse Management Using FSN Analysis at PT. XYZ by Jundi Nourfateha Elquthb, Lulu Riesta Nugroho, Annisa Uswatun Khasanah

“…In this context, several issues have been identified in warehouse management, such as a lack of space or empty shelves, outdated data recording processes, and improper placement of raw materials. …”
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Elastic Information Management for Air Pollution Monitoring in Large-Scale M2M Sensor Networks by Yajie Ma, Yike Guo, Dilshan Silva, Orestis Tsinalis, Chao Wu

“…In large-scale machine-to-machine sensor networks, the applications such as urban air pollution monitoring require information management over widely distributed sensors under restricted power, processing, storage, and communication resources. The continual increases in size, data generating rates, and connectivity of sensor networks present significant scale and complexity challenges. …”
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Measurements of Gasification Characteristics of Coal and Char in CO2-Rich Gas Flow by TG-DTA by Zhigang Li, Xiaoming Zhang, Yuichi Sugai, Jiren Wang, Kyuro Sasaki

“…The TG-DTA results with gas analyses have presented basic reference data that show the effects of O2 concentration and heating rate on coal physical and chemical behaviors for the expected technologies on coal gasification in CO2-rich gas and oxygen combustion and underground coal gasification.…”
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Advancing drug-drug interactions research: integrating AI-powered prediction, vulnerable populations, and regulatory insights by Wenzhun Huang, Wenzhun Huang, Xiao Wang, Xiao Wang, Yunhao Chen, Yunhao Chen, Changqing Yu, Shanwen Zhang, Shanwen Zhang

“…However, recent advancements in artificial intelligence (AI), systems pharmacology, and real-world data analytics have paved the way for more proactive and integrated strategies for predicting DDIs. …”
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Detecting mass wasting of Retrogressive Thaw Slumps in spaceborne elevation models using deep learning by Kathrin Maier, Philipp Bernhard, Sophia Ly, Michele Volpi, Ingmar Nitze, Shiyi Li, Irena Hajnsek

“…To extend this capability across the entire Arctic permafrost region, automation in data processing and RTS detection is essential. This study introduces a method that employs deep learning on InSAR-derived dDEMs to map RTSs and quantify volume changes from RTS activity. …”
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Exploring factors affecting patient satisfaction in online healthcare: A machine learning approach grounded in empathy theory by Junbai Chen, Guoping Wu, Tong Zhang, Butian Zhao, Ruojia Wang, Xing Zhai, Fengying Guo

“…Results A total of 7586 data points were collected, with 5447 consultation dialogs (71.8%) receiving a satisfactory rating from patients. …”
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DESCRIPTION OF ANXIETY IN THE PATIENT'S FAMILY CAREGIVER SCHIZOPHRENIA IN THE COMMUNITY HEALTH CENTER OF MANYAR, GRESIK DISTRICT by Sayyid Gaza Alghifahri, Rindayati Rindayati, Makhfudli Makhfudli, Cherlys Tin Lutfiandini

“…This research was conducted at the Manyar District Health Center, Gresik Regency in March 2022. Processing and Data Analysis using Editing, coding, scoring, tabulating and percentages. …”
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Decision Support System for Selecting BPS Central Tapanuli Partners Using the SMART Method by Adzkia Nur, Ardilla Syahfitri Lubis, Dicky Sambora, Debi Yandra Niska

“…This study aims to design a decision support system based on the SMART (Simple Multi Attribute Rating Technique) method that can help process interview results systematically and objectively. …”
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SOCIO-ECONOMIC VARIABLES AND RURAL WOMEN PARTICIPATION IN YAM PRODUCTION IN GWAGWALADA AREA COUNCIL, FEDERAL CAPITAL TERRITORY (FCT), ABUJA, NIGERIA by Abdulhameed A. GIREI, Nafisat H. SULEIMAN, Susana B. OHEN

“…Credit facilities should also be made available and at affordable rates. Also, processing equipment and storage facilities should be developed and provided to the farmers to minimize waste and losses.…”
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Determination of Kinematic Hardening Parameters in W-Temper Forming of 6082 Aluminum Alloy by Dessie Jemal Ebrahim, Rónai László, Lukács Zsolt

“…To achieve this, uniaxial tensile-compressive tests were conducted utilizing a newly developed anti-buckling fixture, while deformation characteristics were assessed through optical strain measurement. The experimental data were further processed and mathematically modeled in Scilab code using a point-by-point fitting approach. …”
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