The surgical time-out: the relationship between perceptions of a safety-task anchor and surgical team workflow by Vivian J. Zagarese, Ivan Hernandez, Neil M. A. Hauenstein, Roseanne J. Foti, Sarah H. Parker

“…The full mediation model was not supported by the data; however, there appears to be a relationship between the perceived usefulness of the time-out and the rate at which the circulating nurse leaves the OR.…”
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Electrochemical-Based Extraction, Separation, and Purification of Coumarin Compounds from Trifolium chinensis by Yujie Zhu, Wenle Wang, Renyu Ruan, Jinquan Chen

“…When the optimal process determined in this study is adopted, the coumarin adsorption rate is greater than 98% and the recovery rate is greater than 85%. …”
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Efficacy and safety of transanal endoscopic microsurgery for early rectal cancer: a meta-analysis by Chunqiang Wang, Tianye Huang, Xuebing Wang

“…Two researchers independently completed the entire process from screening, inclusion to data extraction and performed statistical analysis using RevMan 5.3. …”
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An Energy Efficient Wearable Smart IoT System to Predict Cardiac Arrest by AKM Jahangir Alam Majumder, Yosuf Amr ElSaadany, Roger Young, Donald R. Ucci

“…This research introduces the use of signal processing and machine-learning techniques for sensor data analytics to identify predict and/or sudden cardiac arrests with a high accuracy.…”
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THE ROLE OF GLOBAL IMBALANCES IN THE FORMATION OF THE GLOBAL FINANCIAL MARKET ASSETS DIVERSIFICATION TREND by ELENA ANATOL’EVNA Zvonova

“…The work carries out the processing of statistical data that allowed to give the quantitative characteristics of the main types of financial assets and their role in the evolution of the global financial market. …”
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[Retracted] Construction and Empirical Study of Learner Portrait in Online General Education Course by Zongbiao Zhang

“…Based on 3P (presage, process, and product) learning theory, we put forward a “three-stage, four-level” framework for learners’ portrait process of online general education course, including three learning stages of “presage process product” and four levels of “portrait goal, data collection, label analysis, and portrait service.” …”
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Small Scale Multi-Object Segmentation in Mid-Infrared Image Using the Image Timing Features–Gaussian Mixture Model and Convolutional-UNet by Meng Lv, Haoting Liu, Mengmeng Wang, Dongyang Wang, Haiguang Li, Xiaofei Lu, Zhenhui Guo, Qing Li

“…In this model, the maximum pooling layer is replaced with a convolutional layer, addressing the challenge of limited training data and improving the network’s ability to preserve spatial features. …”
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HYPOGLYCEMIC EFFECT OF SITAGLIPTIN AND AMINOGUANIDINE COMBINATION IN EXPERIMENTAL DIABETES MELLITUS by D. V. Kurkin, D. A. Bakulin, E. I. Morkovin, Yu. V. Gorbunova, A. V. Strygin, T. M. Andriashvili, A. A. Sokolova, N. S. Bolokhov, V. E. Pustynnikov, E. A. Fomichev

“…The treatment was continued till the end of the experiment, which was completed with an oral glucose tolerance test (OGTT) after 4 h of fasting. The obtained data were subjected to statistical processing.Results. …”
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Impact of salt intake on inflammation markers in cardiovascular disease: a retrospective observational case-control study by Dmitrii O. Dragunov, Anna V. Sokolova, Vadim M. Mitrokhin, Grigorii P. Arutyunov

“…General, biochemical blood panels and interleukin levels (IL-1, IL-2, IL-4, IL-6, IL-8, IL-10, IL-18) were evaluated in the outcome of medical examination. Statistical data processing was performed with R using the RStudio software.Results. …”
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Impact Evaluation of DME Beacons on BeiDou B2a Signal Reception Performance by Yicheng Li, Jinli Cui, Zhenyang Ma, Zhaobin Duan

“…Leveraging empirical data from the DME beacon network in the Chinese mainland, we systematically analyzed the interference effects through an effective carrier-to-noise ratio (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>C</mi><mo>/</mo><msub><mi>N</mi><mn>0</mn></msub></mrow></semantics></math></inline-formula>), signal detection probability, carrier tracking accuracy, and demodulation bit error rate (BER). …”
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Thermo-hydraulic performance of concentric tube heat exchangers with turbulent flow: Predictive correlations and iterative methods for pumping power and heat transfer by Samer Ali, Chadi Nohra, Jalal Faraj, Talib Dbouk, Mahmoud Khaled

“…These correlations showed an average error of less than 2.33% when compared with the CFD data. The iterative Newton–Raphson method for predicting heat transfer rates demonstrated high accuracy, with an average error of 0.66% for heat transfer rate, 0.03% for hot fluid outlet temperature, and 0.01% for cold fluid outlet temperature. …”
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Temporal resolution trumps spectral resolution in UAV-based monitoring of cereal senescence dynamics by Flavian Tschurr, Lukas Roth, Nicola Storni, Olivia Zumsteg, Achim Walter, Jonas Anderegg

“…This approach represents the need for remote-sensing based proxies that capture the entire process, from the onset to the conclusion of senescence, as well as the rate of the progression. …”
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Transforming Prediction into Decision: Leveraging Transformer-Long Short-Term Memory Networks and Automatic Control for Enhanced Water Treatment Efficiency and Sustainability by Cheng Qiu, Qingchuan Li, Jiang Jing, Ningbo Tan, Jieping Wu, Mingxi Wang, Qianglin Li

“…Furthermore, by integrating real-time sensor data with the Transformer-LSTM network and automatic control, substantial improvements in water treatment processes were achieved, resulting in a 26.9% reduction in energy or time consumption compared with traditional fixed processing cycles. …”
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Exploring the Current Applications and Future Implications of Artificial Intelligence in Public Health Dentistry: A Narrative Review by Tanushri Mahendra Dalvi, Rajeshri Kotwadekar, Shrivardhan R Kalghatgi, Priyanka Paul Madhu, Priyanka Methildeotare

“…Artificial Intelligence (AI) is transforming healthcare at a rapid rate by enhancing disease prevention, diagnosis, treatment planning and management of health systems. …”
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Constraints on the Galaxy Formation Models during the Epoch of Reionization with High-redshift Observations by Qing-Bo Ma, Xiao-Rong Chen, Ming Li, Qi Guo, Benedetta Ciardi, Anshuman Acharya, Xin Wang

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Neural networks with personalized training for improved MOLLI T1 mapping by Olympia Gkatsoni, Christos G. Xanthis, Sebastian Johansson, Einar Heiberg, Håkan Arheden, Anthony H. Aletras

“…Experimental data from eleven phantoms and ten healthy volunteers were included in the study. …”
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Selecting Optimal Hemp (<i>Cannabis sativa</i> L.) Varieties for Long Fibre Production in Western Europe by Hanne Pappaert, Sophie Waegebaert, Katrien Vandepitte, Joos Latré, Svea Thienpondt, Sofie Vermeire, Alexandra De Raeve, Leen De Gelder, Veronique Troch

“…Industrial hemp (<i>Cannabis sativa</i> L.) is gaining renewed interest as a sustainable source of natural fibres, particularly in regions like Belgium, where well-established flax processing infrastructure exists. However, region-specific data on varietal performance for long fibre production remain limited, hindering large scale adoption by both farmers and processors. …”
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LARS2 DNA methylation predicts the prognosis in colon cancer by Yingzhou Fu, Wei Xie, Qifan Ren, Jiao Wu, Ying Long, Ying Liu

“…Silencing of LARS2 decreased the proliferative capacity and increased the apoptosis rate of HCT116. Our findings suggest that LARS2 methylation could affects colon cancer development.…”
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Simultaneous Wavelength and Format Conversions Based on the Polarization-Insensitive FWM in Free-Space Optical Communication Network by Xinning Huang, Yulong Suh, Tao Duan, Hui Hu, Xin Xu, Xiaoping Xie

“…Meanwhile, format conversion to lower the data rate is also necessary in case the atmospheric channel deteriorates. …”
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Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring by Rui Zhu, Enting Zhao, Chunhe Hu, Jiangjian Xie, Junguo Zhang, Huijian Hu

“…However, camera traps often face high rates of false-triggered images (empty shots), significantly impacting data processing efficiency. …”
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