Efficient neural network training method for unsteady flow field prediction based on data pool by Qiuchi Min, Tianyu Li, Guanxiong Li, Shuyuan Liu, Laiping Zhang, Xiaogang Deng

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Evaluation and Comparison of the PREVENT and Pooled Cohort Equations for 10‐Year Atherosclerotic Cardiovascular Risk Prediction by Hui Zhou, Yiyi Zhang, Matt M. Zhou, Soon Kyu Choi, Kristi Reynolds, Teresa N. Harrison, Brandon K. Bellows, Andrew E. Moran, Lisandro D. Colantonio, Norrina B. Allen, Monika M. Safford, Jaejin An

“…Background We compared the atherosclerotic cardiovascular disease (ASCVD) risk prediction performance of the American Heart Association's Predicting Risk of Cardiovascular Disease Events (PREVENT) Base and PREVENT Full equations (includes urine albumin/creatinine ratio, glycated hemoglobin, and social deprivation index) with the pooled cohort equations (PCEs). …”
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Decoding lake water eutrophication using an innovative dynamic model pool framework in Erhai Lake by Wei Si, Zhixiong Chen, Chi Yung Jim, Ngai Weng Chan, Mou Leong Tan, Bingbing Liu, Dong Liu, Lifei Wei, Shaoyong Wang, Fei Zhang

“…This study developed an innovative Dynamic Model Pool (DMP) framework to optimize water quality prediction performance dynamically. …”
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Phase transformation and flow simulation of weld pools at the crack tips of elbows under pulsed current by Si ZHANG, Mingjiang ZHOU, Yuheng LIANG, Biwei FU

“…Consequently, a pulse interval greater than 0.008 seconds was identified as optimal to prevent adverse effects on the weld pool area during subsequent pulses, thereby enhancing repair performance. …”
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Effects of Evaporation Temperature on Nucleate Pool Boiling Heat Transfer Characteristics Outside the Enhanced Tube by Ouyang Xinping, Bao Linlin, Qiu Xuesong

“…Nucleate pool boiling outside the horizontal enhanced tube (Φ25 mm) with the refrigerant R134a was experimentally investigated. …”
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Analysis of the Processes in Spent Fuel Pools in Case of Loss of Heat Removal due to Water Leakage by Algirdas Kaliatka, Viktor Ognerubov, Virginijus Vileiniškis, Eugenijus Ušpuras

“…Also, the accident mitigation measure, the late injection of water was evaluated. The analysis was performed for the Ignalina NPP Unit 2 spent fuel pool, using system thermal hydraulic code for severe accident analysis ATHLET-CD. …”
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Physics-Based Data Augmentation Enables Accurate Machine Learning Prediction of Melt Pool Geometry by Siqi Liu, Ruina Li, Jiayi Zhou, Chaoyuan Dai, Jingui Yu, Qiaoxin Zhang

“…Accurate melt pool geometry prediction is essential for ensuring quality and reliability in Laser Powder Bed Fusion (L-PBF). …”
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The contribution of small and medium diameter trees to biomass and carbon pools in Yabo, Sokoto State, Nigeria by Murtala Dangulla, Latifah Abd Manaf, Mansur Muhammad Aliero

“…Trees and vegetation, in general, perform the ecosystem service of storing and sequestering atmospheric carbon. …”
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Reduced Treatment Volumes for Glioblastoma Associated With Lower Rates of Radionecrosis and Lymphopenia: A Pooled Analysis by Jennifer K. Matsui, MD, PhD, David Swanson, PhD, Pamela Allen, PhD, Haley K. Perlow, MD, Jared Bradshaw, BS, Thomas H. Beckham, MD, PhD, Martin C. Tom, MD, Chenyang Wang, MD, PhD, Subha Perni, MD, Debra N. Yeboa, MD, Amol J. Ghia, MD, Mary Frances McAleer, MD, PhD, Jing Li, MD, PhD, Joshua D. Palmer, MD, Susan L. McGovern, MD, PhD

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Investigating diverse loss functions for myocardium ring segmentation in Cardiac Magnetic Resonance images using fuzzy pooling by Riandini, Eko Mulyanto Yuniarno, I. Ketut Eddy Purnama, Masayoshi Aritsugi, Mauridhi Hery Purnomo

“…Dice loss showed moderate performance. Lovász-softmax excelled in IoU with an average score of 90.68%, while CrossLov exhibited balanced performance, achieving robust general segmentation results with an IoU score of 93.691%. …”
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Cross-dataset person re-identification method based on multi-pool fusion and background elimination network by Yanfeng LI, Bin ZHANG, Jia SUN, Houjin CHEN, Jinlei ZHU

“…The existing cross-dataset person re-identification methods were generally aimed at reducing the difference of data distribution between two datasets,which ignored the influence of background information on recognition performance.In order to solve this problem,a cross-dataset person re-ID method based on multi-pool fusion and background elimination network was proposed.To describe both global and local features and implement multiple fine-grained representations,a multi-pool fusion network was constructed.To supervise the network to extract useful foreground features,a feature-level supervised background elimination network was constructed.The final network loss function was defined as a multi-task loss,which combined both person classification loss and feature activation loss.Three person re-ID benchmarks were employed to evaluate the proposed method.Using MSMT17 as the training set,the cross-dataset mAP for Market-1501 was 35.53%,which was 9.24% higher than ResNet50.Using MSMT17 as the training set,the cross-dataset mAP for DukeMTMC-reID was 41.45%,which was 10.72% higher than ResNet50.Compared with existing methods,the proposed method shows better cross-dataset person re-ID performance.…”
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Correlation between swimming pool water quality and physical fitness of swimmers aged 13–15 years by Syahrastani, Linda Advinda, Hendri Neldi, Khairuddin, Siska Alicia Farma, Yovhandra Ockta, Mentari Larashinda

“… This study examined the relationship between swimming pool water quality and swimmers' physical fitness, emphasizing the importance of maintaining good water quality for optimal health and performance. …”
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Transfer learning-enhanced physics informed neural network for accurate melt pool prediction in laser melting by Qingyun Zhu, Zhengxin Lu, Yaowu Hu

“…The profile of the melt pool is essential in selective laser melting (SLM) to control the process quality and avoid defects. …”
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Wheat Landraces Are Better Qualified as Potential Gene Pools at Ultraspaced rather than Densely Grown Conditions by Elissavet G. Ninou, Ioannis G. Mylonas, Athanasios Tsivelikas, Parthenopi Ralli, Christos Dordas, Ioannis S. Tokatlidis

“…This issue was investigated by growing six heterogeneous wheat landraces along with a pure-line commercial cultivar under both dense and widely spaced conditions. The performance of two landraces showed a perfect match to the above relationship. …”
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Ropivacaine pharmacokinetics in the arterial and venous pools after ultrasound-guided continuous thoracic paravertebral nerve block by Paraskevi Matsota, Vangelis Karalis, Theodosios Saranteas, Fay Kiospe, Sophia Liberty Markantonis

“…Quantification of total ropivacaine concentrations was performed using a validated high-performance liquid chromatography method. …”
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Can treatment delay be utilized as a key variable for monitoring the pool of infectious tuberculosis in a population? by Dag Gundersen Storla, Solomon Yimer, Gunnar Aksel Bjune

“…Conclusions: A local tuberculosis program can use a systematic recording of treatment delay as a quantifiable variable to monitor the infectious pool, and can also serve as a key indicator of program performance. …”
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Evaluation of connection pool <i>PgBouncer</i> efficiency for optimizing relational database computing resources by A. S. Boronnikov, P. S. Tsyngalev, V. G. Ilyin, T. A. Demenkova

“…The degree of influence of the use of the PgBouncer connection balancer on the performance of the system as a whole deployed in a virtualized environment is investigated. …”
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Pool boiling heat transfer evaluation of next-generation dielectric fluid: Opteon™ 2P50 by Cheng-Min Yang, M. Muneeshwaran, Yifeng Hu, Gustavo Pottker, Samuel F. Yana Motta

“…Overall, these results indicate that the new dielectric fluid provides similar thermal performance to some legacy fluids.…”
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Mechanism of melt pool structure on corrosion behavior of selective laser melted 316L stainless steels by MAN Cheng, WANG Mengfei, LI Yong

“…The melt pool structure represents a critical feature in laser additive manufacturing and serves as a primary factor contributing to the disparities in microstructure and performance between the vertical (XOY) and horizontal (XOZ) processing directions of 316L stainless steels fabricated via selective laser melting (SLM). …”
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Identification of highly expressed, soluble proteins using an improved, high-throughput pooled ORF expression technology by Timothy Waybright, William K. Gillette, Dominic Esposito, Robert M. Stephens, David A. Lucas, James L. Hartley, Timothy D. Veenstra

“…After bulk expression and purification, the proteins from the three separate pools were digested into tryptic peptides. Each of these samples was subsequently analyzed in triplicate using reversed-phase high-performance liquid chromatography (LC) coupled directly online with MS/MS. …”
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