Intelligent Prediction of Lost Circulation and Gas Invasion in Cementing Operations Based on ACO-SWXGBoost by Wei Ji, Mengyuan Xiong, Shuangjin Zheng

“…The model extracts both raw features and slope-based variations of key parameters—flow rate, pressure, and density—to enhance representation, incorporates a sliding window and time decay mechanism to capture dynamic patterns, and leverages ACO to optimize hyperparameters for improved predictive performance. …”
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Statistical Analysis of a Generalized Variant of the Weibull Model Under Unified Hybrid Censoring with Applications to Cancer Data by Mazen Nassar, Refah Alotaibi, Ahmed Elshahhat

“…Characterized by one scale parameter and two shape parameters, the proposed model offers enhanced flexibility for modeling diverse lifetime data patterns and hazard rate behaviors. Notably, its hazard rate function can exhibit five distinct shapes, including upside-down bathtub and bathtub shapes. …”
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Influence of a cloudy fuzzy environment for deteriorating products with ramp-type demand under a supply chain management by Surendra Vikram Singh Padiyar, Ummeferva Zaidi, Amit Kumar, Mitali Sarkar, Biswajit Sarkar, Rekha Guchhait

“…To ensure the minimum cost of the supply chain, two different types of deteriorating rates are tested in this study: crisp deterioration rate and uncertain deterioration rate. …”
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A systematic review and meta-analysis of the global seasonality of norovirus. by Sharia M Ahmed, Benjamin A Lopman, Karen Levy

“…Our results point to possible associations of season strength with rain in the wettest month and crude birth rate.…”
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Regional Gas Supply System Considered from the Standpoint of System Analysis and Regularities of its Functioning by D. R. Mоroz, N. V. Hruntovich

“…The values of correlation coefficients between the outdoor air temperature and gas flow rate according to the elements of the balance structure are calculated. …”
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Comparison and analysis of antimicrobial resistance of Escherichia coli and Enterococcus isolated from animals in Jinhua City and Taizhou City of Zhejiang Province by TANG Biao, HAO Yun, LIN Jiahui, WANG Jingge, JI Xiaofeng, QIAN Mingrong, YANG Hua

“…In terms of the overall antimicrobial resistance rate, MIC distribution and antimicrobial resistance pattern, the level of antimicrobial resistance in Taizhou was higher than that in Jinhua. …”
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The burden of carbon monoxide poisoning in China from 1990 to 2021 and forecasts to 2050 by Yanwu Yu, Jinzhou Yu, Ding Yuan, Fang Yang, Hongyi Yan, Pin Jiang, Mengnan Guo, Zhigao Xu, Gaiqin Yan, Yan Zhang, Yanxia Gao

“…The incidence, prevalence, mortality, and Disability Adjusted Life Years (DALYs) and their corresponding Age-Standardized Rates (ASRs) were examined to assess the burden of COP in China from 1990 to 2021. …”
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Adaptive Quantum-Inspired Evolution for Denoising PCG Signals in Unseen Noise Conditions by Lubna Siddiqui, Ashish Mani, Jaspal Singh

“…The filter coefficients were optimised using the proposed QiEA with Adaptive Rotation Gate Operator (ARGO). The proposed algorithm accelerates convergence towards optimal solutions based on fitness feedback, improving filter optimisation while clamping rotation angles to maintain algorithm stability. …”
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Multi-heat keypoint incorporation in deep learning model to tropical cyclone centering and intensity classifying from geostationary satellite images by Thanh-Ha Do, Son-The Phan, Duc-Tien Du, Dinh-Quan Dang, Khanh-Hung Mai, Lars R. Hole

“…This paper proposes a new multitask deep learning model with attention gate mechanisms to work with satellite images and construct heatmaps for TC’s centering and classification. …”
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Differences in geochemical characteristics of produced water from coalbed methane wells and their indications for drainage：A case study of the Santang Syncline in Western Guizhou by Xiaozhi ZHOU, Shuaiqi WANG, Shiliang ZHU, Shaolei WANG, Gang XIANG, Xuehua CHEN, Jihang DONG, Xin QIU

“…Combined with the monitoring of the water quality and hydrochemical characteristics of the produced water from CBM wells, the overflow release process after fracturing is divided into four stages: trial flowback, constant-rate flowback, slow increase of the flowback rate, and rapid decrease of the flowback rate. …”
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Premium intraocular lens adoption: Insights from a national health insurance analysis by Chi-Ying Huang, Christy Pu, Chiun-Ho Hou

“…Specifically, the adoption rate for premium IOLs was 35.2% in 2016, rising to 42.6% in 2020. …”
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Assessing the salinization mechanisms of coastal brackish springs by Sanz, Esteban, Carrera, Jesús, Ayora, Carlos, Barón, Alfredo, González, Concha

“…The phenomenon is puzzling because these springs may discharge high flow rates with significant salinities at elevations of several meters above sea level. …”
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TaER Expression Is Associated with Transpiration Efficiency Traits and Yield in Bread Wheat. by Jiacheng Zheng, Zhiyuan Yang, Pippa J Madgwick, Elizabete Carmo-Silva, Martin A J Parry, Yin-Gang Hu

“…Significant differences were also observed between the three groups varying for TaER expression for several transpiration efficiency (TE)- related traits, including stomatal density (SD), transpiration rate, photosynthetic rate (A), instant water use efficiency (WUEi) and carbon isotope discrimination (CID), and yield traits of biomass production plant-1 (BYPP) and grain yield plant-1 (GYPP). …”
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Modeling of spatial spread of COVID-19 pandemic waves in Russia using a kinetic-advection model by V. V. Aristov, A. V. Stroganov, A. D. Yastrebov

“…In addition to the high infection rate, the high spread rate is due to the increased mobility of contemporary populations. …”
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Response of Water-Use Efficiency (WUE) in Alpine Grasslands to Hydrothermal and Radiative Factors Across Elevation Gradients by Ye Tian, Wan Zhang, Xiao Xu, Bingrong Zhou, Xiaoyun Cao, Bin Qiao

“…Moreover, contribution rate analysis showed an elevation-dependent shift in WUE control: evapotranspiration (ET) exerted a dominant influence at low elevations (contribution rate: −82.50%), while net primary productivity (NPP) became the primary driver at high elevations (contribution rate: 54.71%). …”
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XRGuard: A Model-Agnostic Approach to Ransomware Detection Using Dynamic Analysis and Explainable AI by M. Adnan Alvi, Zunera Jalil

“…Experimental results demonstrate that XRGuard achieves a 99.69% accuracy rate with an exceptionally low false positive rate of 0.5%. …”
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A Study on Triaxial Unloading Test of Columnar-Jointed-Rock-Mass-Like Material with AW Velocity Analysis by Jianrong Xu, Hao Li, Qingxiang Meng, Weiya Xu, Mingjie He, Jiahui Yang

“…With the increase of the unloading and its rate, the volume expansion becomes more serious and the failure mode becomes more complicated. …”
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Evolving Frameworks for the Foundation and Practice of Electronic Fetal Monitoring by Mark I. Evans, David W. Britt, Shara M. Evans, Lawrence D. Devoe, Yang Pan

“…Part of EFM's poor performance with respect to these outcomes arises from a fundamental misunderstanding of the differences between screening and diagnostic tests, subjective classifications of fetal heart rate (FHR) patterns that lead to large inter-observer variability in its interpretation, failure to appreciate early stages of fetal compromise, and poor statistical modeling for its use as a screening test. …”
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Structure and functional characteristics of zooplankton and food supply for nekton in the western Bering Sea by E. P. Dulepova, V. V. Napazakov, N. A. Kuznetsova, M. A. Shebanova

“…High values and turnover rate of production are noted for the non-predatory zooplankton (mainly copepods and euphausiids) in the eastern Anadyr Bay, the area at Cape Navarin, the shelf of Koryak coast, and the continental slope of Olyutorsky Bay. …”
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Acoustic emission during tensile deformation of copper single crystals and dislocation annihilation processes by A. PAWEŁEK, W. STRYJEWSKI, H. DYBIEC, W. BOCHNIAK

“…The behaviour of acoustic emission (AE) during the two first stages of the tensile deformation of copper single crystals is investigated using the broad-band piezoelectric transducer for the measurement of AE energy rate ΔE/Δt, AE event rate ΔN/Δt (event density) and energy per one AE event ΔE/ΔN. …”
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