Well control diagnosis model of underground gas storage in multi-cycle operation by ZHANG Siyuan, YANG Jiakun, SONG Lina, ZHOU Dongliang, HU Jun, XU Feng, SHI Yuxia, XU Hongcheng, PEI Gen, FAN Jiayi

“…Predicting multi-cycle well control parameters is key to the efficient operation of UGS facilities. Due to the complexities involved in understanding the operation patterns of W23 UGS and the challenges in developing effective schemes, a prediction model for well control parameters in multi-cycle operations has been developed using the rate-transient analysis method, and the change pattern of well control parameters with the development of UGS is analyzed. …”
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Experimental synthesis of size-controlled TiO2 nanofillers and their possible use as composites in restorative dentistry by Dipika V. Raorane, Ramesh S. Chaughule, Suhas R. Pednekar, Anushree Lokur

“…The aim of this work was to obtain an efficient protocol with a green, fast and facile way to synthesize TiO2 NPs and its application as fillers for enhancement of desired dental properties of light curing dental composites.A comparative study comprised the fabrication of light curing restorative composite materials with incorporating different fillers with varying wt%, varying resin material composition, to determine optimal dental restoration by focusing on the physical properties of dental materials. …”
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Estimation of the Relative Chlorophyll Content of Pear Leaves Based on Field Spectrometry in Alaer, Xinjiang by Yufen Huang, Zhenqi Fan, Hongxin Wu, Ximeng Zhang, Yanlong Liu

“…The prediction model for relative chlorophyll content established in this study was more accurate for chlorophyll monitoring in pear trees, and thus, it provided a new method for rapid estimation. Moreover, the model provides an important theoretical basis for the efficient management of pear trees.…”
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Modeling and Key Parameter Interaction Analysis for Ship Central Cooling Systems by Xin Wu, Ping Zhang, Pan Su, Jiechang Wu

“…To achieve efficient prediction and optimization of the energy consumption of ship central cooling systems, this paper first constructed and validated a high-precision multi-physical domain simulation model of the ship central cooling system based on fluid heat transfer principles and the physical network method. …”
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From Battlefield to Building Site: Probabilistic Analysis of UXO Penetration Depth for Infrastructure Resilience by Boules N. Morkos, Magued Iskander, Mehdi Omidvar, Stephan Bless

“…Different probabilistic sampling techniques produced similar DoB predictions for each soil type, but GP_RSM was the most computationally efficient method. Finally, a sensitivity analysis was conducted to determine the contribution of each random variable to the predicted DoB. …”
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Comparing the costs and detectability of bobcat using scat‐detecting dog and remote camera surveys in central Wisconsin by John D. J. Clare, Eric M. Anderson, David M. MACfarland, Brian L. Sloss

“…ABSTRACT Determining cost‐effective field methods for detecting carnivores is critical for effective survey and monitoring studies. …”
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STUDY OF A FLOWING-TYPE HEAT TRANSFER INTENSIFIER USED AS PART OF A THERMOELECTRIC SEA WATER DESALINATION SYSTEM by Sh. A. Yusufov, A. R. Bazaev, B. A. Bilalov

“…The proposed method of using additional heat sinks on the heat-absorbing side of the device and additional heat sources on the fuel side determines the need for a new mathematical model that differs from the known mathematical models describing heat transfer in the heat transfer flowing-type intensifier.Results The analysis of modelling results shows that a significant contribution to the temperature field of heat conductors is made when considering the heat transfer over the heat channels. …”
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Detection of circulating tumor cells in hepatocellular carcinoma using antibodies against asialoglycoprotein receptor, carbamoyl phosphate synthetase 1 and pan-cytokeratin. by Jun Li, Lei Chen, Xiaofeng Zhang, Yu Zhang, Huiying Liu, Bin Sun, Linlin Zhao, Naijian Ge, Haihua Qian, Yefa Yang, Mengchao Wu, Zhengfeng Yin

“…The current approach obtained a higher recovery rate of HepG2 cells and more CTC detection from HCC patients than the previous method. Using the current method CTCs were detected in 89% of HCC patients and no CTCs were found in the other test subjects.…”
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Tunnel water inflow prediction using explainable machine learning and augmented partially missing dataset by Shengdong Ju, Guangzhao Ou, Tao Peng, Yanning Wang, Quanlin Song, Peng Guan

“…This study proposes a method for predicting tunnel water inrush volumes, leveraging the eXtreme Gradient Boosting (XGBoost) model optimized with Bayesian techniques. …”
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The unintended outcome: a retrospective cross‐sectional study using a urine lateral flow assay to detect ART use reveals non‐disclosure of taking ART in South Africa's public healt... by Nsika Sithole, Indira Govender, Matthew Spinelli, Theresa Smit, Siyabonga Cibane, Mlungisi Zwane, Njabulo Phakathi, Meighan Krows, Busisiwe Nkosi, Janet Seeley, Ruanne V. Barnabas, Mark J. Siedner, Mosa Moshabela, Connie Celum, Alison Grant, Monica Gandhi, Adrienne E. Shapiro

“…Abstract Introduction Differentiated service delivery (DSD) models for HIV and tuberculosis (TB) care prioritize efficient resource allocation and targeted interventions, and benefit from accurate assessment of patients’ antiretroviral therapy (ART) pill‐taking status. …”
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Optimized removal of trivalent arsenic from aquatic environments using Prosopis juliflora seed biomass by M. Samimi, J. Nouri

“…BACKGROUND AND OBJECTIVES: With urban populations struggling with wastewater and water sources contaminated by metalloids, the demand for sustainable and effective methods for removing heavy metals is growing ever more urgent. …”
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Minimising immunohistochemical false negative ER classification using a complementary 23 gene expression signature of ER status. by Qiyuan Li, Aron C Eklund, Nicolai Juul, Benjamin Haibe-Kains, Christopher T Workman, Andrea L Richardson, Zoltan Szallasi, Charles Swanton

“…In routine oncological practice ER status is determined by semi-quantitative methods such as immunohistochemistry (IHC) or other immunoassays in which the ER expression level is compared to an empirical threshold. …”
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The Great Disruption: How Machine Intelligence Will Transform the Role of Lawyers in the Delivery of Legal Services by J. O. Mcginnis, R. G. Pearce

“…Objective: to analyze the influence of machine intelligence on legal practice and services.Methods: dialectical approach to cognition of social phenomena, allowing to analyze them in the historical development and functioning in the context of a set of objective and subjective factors, which determined the choice of the following research methods: formal-logical, comparative-legal, state and legal modeling.Results: The market for electronic legal services is at a relatively early, yet significant, stage in terms of the disruptive effect of machine intelligence in undermining lawyers' monopoly. …”
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PERANCANGAN MODEL PENGUKURAN KINERJA LEAN DAN GREEN RANTAI PASOK SEMEN SECARA TERINTEGRASI by Dina Rahmayanti, Utari Putri

“…The weight of KPI will be arrange by descending to determine the priority. Model of performance measurement is validated by face validity method. …”
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Adaptive BBU Migration Based on Deep Q-Learning for Cloud Radio Access Network by Sura F. Ismail, Dheyaa Jasim Kadhim

“…This study introduces an adaptive, threshold-based dynamic migration strategy for virtual BBUs within the iCanCloud framework by setting upper and lower limits on the servers’ resource usage in the pool. The proposed method determines whether to initiate a migration by evaluating resource usage on each compute node and identifies the target node for migration if required. …”
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Evaluation of genetic algorithm alternatives for wind speed modeling using grey relational analysis by Hilmi Işık, Muhammet Burak Kılıç

“…Weibull distribution is commonly used in wind speed modeling due to its flexibility and effectiveness and to determine wind speed patterns. Therefore, this paper focuses on parameter estimates of the Weibull distribution using genetic algorithm (GA) optimization based on the maximum likelihood (ML) method. …”
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Innovative tax administration tools in Russia by N. G. Мorozova, Zh. M. Korzovatykh

“…The scientific value of the article lies in determining the directions for further development of tax administration tools aimed at increasing the tax authorities’ efficiency and the service quality for economic entities in digital interaction between the state represented by tax authorities and taxpayers.…”
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Investigating waste management strategies in the extended producer responsibility in Iran by Hassan Passandideh Tashakori, Parvin Farshchi, Dariush Karimi, Seyed Masoud Monavari

“…EPR is aimed at reducing the financial load that waste collection and management imposes on local governments, especially waste that requires complicated and costly treatment and recovery processes. It is an efficient tool in resource management according to which the responsibility for goods and products rests with their producers until the end of their life cycle. …”
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Individual Identification of Holstein Cows from Top-View RGB and Depth Images Based on Improved PointNet++ and ConvNeXt by Kaixuan Zhao, Jinjin Wang, Yinan Chen, Junrui Sun, Ruihong Zhang

“…To identify cows more accurately and efficiently, a novel individual recognition method based on the using anchor point detection and body pattern features from top-view depth images of cows was proposed. …”
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Integrating kinematic and dynamic factors with generative design for high-performance additive manufacturing structures by Huaizhi Zong, Bin Lou, Haihui Yuan, Dandan Wang, Yicha Zhang, Jikun Ai, Junhui Zhang, Bing Xu

“…Experiment results indicate that the proposed method greatly improves structural efficiency and performance, demonstrating its potential in designing complex mechanical structures.…”
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