N-body simulation of spinning particle pairs in a complex plasma crystal by Zachary Watson, Parker Adamson, Jorge Martinez-Ortiz, Katrina Vermillion, Calvin Carmichael, Samuel Garcia-Rodriguez, Lorin Matthews, Truell Hyde, Bryant Wyatt

“…Our approach balances computational efficiency with the ability to simulate complex plasma dynamics, providing a powerful tool for the study of dusty plasma crystals.…”
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A Pilot Validation Study of a Biomechanical Simulation Model for Rotational Ankle Injuries Using Robotic Cadaveric Testing by Mohammad Amin Shayestehpour MSc, Martin G. Gregersen PT, MSc, Ola Saatvedt MD, Øystein Bjelland PhD, Marius Molund MD, PhD

“…Experimental data from a cadaveric study involving 15 human ankle specimens subjected to various loading conditions were used to identify the model parameters. After parameter identification from uninjured cadaveric data, we simulated Supination-External Rotation (SER) stage 2-4b injury model by removing the corresponding ligaments. …”
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Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality by Mohammad Zangane, Mohammad Shahbazi, Seyed Ali Niknam

“…Augmenting acoustic data with machining parameters (cutting speed, depth, feed rate, tool type) as additional inputs could improve the model’s accuracy and convergence rate, especially for noisy data. …”
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Establishing a Swine Model of Acute Respiratory Distress Syndrome Secondary to Ischemia-Reperfusion Injury Following Acute Limb Ischemia by Grzegorz Jodlowski, Rebecca Treffalls, May Dvir, Silvana N Wilken, Jonathan J Morrison, Patrick F Walker

“…The limb was then reperfused and animals monitored through physiological parameters, computed tomography imaging, lung ultrasounds and histology. …”
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Enhancing the data processing speed of a deep-learning-based three-dimensional single molecule localization algorithm (FD-DeepLoc) with a combination of feature compression and pip... by Shuhao Guo, Jiaxun Lin, Yingjun Zhang, Zhen-Li Huang

“…Deep learning is a potential tool to solve this problem. As the state of art 3D super-resolution localization algorithm based on deep learning, FD-DeepLoc algorithm reported recently still has a gap with the expected goal of online image processing, even though it has greatly improved the data processing throughput. …”
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Identifying Crowding Impact on Departure Time Choice of Commuters in Urban Rail Transit by Yan Cheng, Xiafei Ye, Taku Fujiyama

“…For commuters who have considerably fixed destination arrival times, departure time choice is an important tool to adjust their trips. The ignorance of crowding impact on commuters’ departure time choice in urban rail transit may cause errors in forecasting dynamic passenger flow during peak time in urban rail transit. …”
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Development and validation of a practical predicting model for early mortality in polytrauma patients: secondary analysis from Switzerland by Tian Xie, Xiaoyun Sun, Yongzhuang Chen, Xianjie Wei, Xiaoqiao Mo, Jiayuan Tu

“…A simple prediction model of early mortality in polytrauma patients was developed with accessible parameters assessed on admission.…”
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Effects of a Multicomponent Mycotoxin Detoxifying Agent on Health and Performance of Weaned Pigs Under Combined Dietary Exposure to Deoxynivalenol (DON) and Zearalenone (ZEN) by Jog Raj, Panagiotis Tassis, Klaus Männer, Hunor Farkaš, Zdenka Jakovčević, Marko Vasiljević

“…Although a typical dose–response relationship was not present in all parameter alterations, the results of the study proved the efficacy of the test product with improved growth performance and reduced mycotoxins absorption under the concurrent DON and ZEN exposure conditions and supported its use as a mitigating tool against mycotoxicosis under field conditions.…”
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Risk assessment for femoral head collapse in osteonecrosis utilizing MRI-derived large lesion ratio: a retrospective cohort study by Shihua Gao, Haoran Zhu, Moshan Wen, Wei He, Ziqi Li

“…Conclusion LLR could served as a efficient tool to assess the risk of collapse progression and guide the selection of treatment strategy.…”
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Water Level in Observation Wells Simulated From Fracture and Matrix Water Heads Outputted by Dual‐Continuum Hydrogeological Models: POWeR‐FADS by B. Jeannot, L. Schaper, F. Habets

“…It introduces as parameters well geometry and the altitude of lowest interception of the fractures by the well. …”
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Design and assessment of a multiplex real-time PCR method for simultaneous detection and differentiation of COVID-19 and Influenza A/B by Nafiseh Fotros, Reihaneh Bashiri, Samira Mohammadi-Yeganeh, Mahdi Paryan

“…Reaction components were optimized and functional parameters were tested using standard samples with known viral copy numbers. …”
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The Possibilities and Importance of Assessing the Left Atrioventricular Coupling Index Using Various Diagnostic Imaging Methods in an Adult Population: A Comprehensive Review by Małgorzata Poręba, Krzysztof Kraik, Igor Zasoński, Oskar Ratajczyk, Łukasz Paździerz, Angelika Chachaj, Rafał Poręba, Paweł Gać

“…The left atrioventricular coupling index (LACI) has been recently introduced as the one parameter meeting these criteria. The current review aims to collect all available data and assess whether the LACI may be a valuable tool in daily clinical practice, and, simultaneously, to direct future research on the subject. …”
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Predicting Axillary Metastasis of Breast Cancer Patients with MRI Relaxometry by Roxana Pintican, Radu Fechete, Delia Ioana Radutiu, Manuela Lenghel, Ioana Bene, Carolina Solomon, Cristiana Ciortea, Anca Ciurea

“…This study evaluates the efficacy of MRI relaxometry as a diagnostic tool for axillary lymph node metastases in breast cancer patients. …”
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Comparison of the virtual reality and mobile games regarding physiological load by Bilal Biçer, Berkay Löklüoğlu

“…On the contrary, the time spent in the VR game was significantly longer than the MO game at Above Very Light (AVL).ConclusionAs a result, the heart rate parameters measured in the VR game were higher than in the MO game at all levels, suggesting that VR may be an effective tool for physical activity-based gaming experiences.…”
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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…Abstract The daily occurrence of traffic accidents has led to the development of 3D reconstruction as a key tool for reconstruction, investigation, and insurance claims. …”
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AI and IoT-powered edge device optimized for crop pest and disease detection by Jean Pierre Nyakuri, Celestin Nkundineza, Omar Gatera, Kizito Nkurikiyeyezu, Gervais Mwitende

“…Additionally, the low power consumption and user-friendly design of this smart device make it a practical tool for farmers, enabling real-time pest and disease detection, promoting sustainable agriculture, and enhancing food security.…”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…This method provides an advanced risk management tool for power companies, helping to increase the operational efficiency of smart grids and encouraging further research toward greater intelligence in the field.…”
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Role of Indocyanine Green Angiography in Free Flap Surgery: A Comparative Outcome Analysis of a Single-Center Large Series of 877 Consecutive Free Flaps by Sunil Choudhary, Soumya Khanna, Raghav Mantri, Prateek Arora

“…ICGA was also used as a tool to show the effect of WBSW on free flaps. …”
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Raman-based PAT for multi-attribute monitoring during VLP recovery by dual-stage CFF: attribute-specific spectral preprocessing for model transfer by Annabelle Dietrich, Luca Heim, Jürgen Hubbuch 

“…Spectroscopic soft sensors are developed by combining spectral data with chemometric modeling, and offer as Process Analytical Technology (PAT) tools powerful insights into biopharmaceutical processing. …”
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What Should We Know to Predict Geomagnetically Induced Currents in Power Transmission Lines? by Pilipenko Vyacheslav, Kozyreva Olga, Belahovskiy Vladimir, Sakharov Yaroslav, Selivanov Vasiliy

“…Moreover, impulsive disturbances such as Pi3 pulsations demand a special tool for their analysis. Data processing technique for a 2D network of magnetic stations has to be elaborated to automatically recognize eddy current structures in the ionosphere and estimate their characteristics. …”
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