The Optimized Design and Principal Analysis of a Toe-End Sliding Sleeve by Wei Li, Fulu Chen, Mengyu Cao, Huan Zhao, Wangluo Ning, Tianchi Ma, Mingxiu Zhang

“…In addition, principle tests under different operating parameters were designed to quantitatively analyze the pin shear situation and the delayed opening time of the toe-end sliding sleeve when the tool was fitted with different numbers of pins and when the delay valve was fitted. …”
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NEWS2 score in the practice of infectious diseases hospital in COVID-19 patients. Implementation and results by К. N. Popova, A. A. Zhukov, I. L. Zykina, D. V. Troschanskiy, I. N. Tyurin, D. N. Protsenko

“…Amidst the new COVID-19 pandemic, there is a need for a reliable medical tool to monitor patients’ vital conditions with clinical information continuity. …”
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Experimental Research on the Effect of Thermophysical Characteristics of Cutting Fluid on Cutting Performance During Turning Ti-6Al-4V Alloy by Xiaorong Zhou, Lin He, Sen Yuan, Jing Deng, Zebin Su, Jingdou Yang, Feilong Du

“…Firstly, the thermophysical characteristics of the vegetable oils were determined by experimental methods. Afterwards, parameters, including tool wear, cutting force, and temperature, as well as the quality of machined workpieces, were selected to evaluate cutting performance, and essential reasons for the difference in cutting performance under varied lubrication environments were clarified. …”
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Application of Ultrasound Localization Microscopy in Evaluating the Type 2 Diabetes Progression by Tao Zhang, Jipeng Yan, Xinhuan Zhou, Bihan Wu, Chao Zhang, Mengxing Tang, Pintong Huang

“…It was unveiled that ULM morphological and hemodynamic parameters have a strong link with β cell loss and deterioration of pancreatic islet function. …”
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Hybridization of Machine Learning Algorithms and an Empirical Regression Model for Predicting Debris-Flow-Endangered Areas by Xiang Wang, Mi Tian, Qiang Qin, Jingwei Liang

“…Recently, machine-learning models have been proved to be an effective tool in predicting debris-flow parameters. However, existing machine-learning models are generally developed based on a very limited number of observation data, which may result in the predictive model overfitting or underfitting. …”
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Effectiveness of VExUS scores for predicting mortality among patients followed up in the emergency department due to congestive heart failure: a prospective cross-sectional study by Fatih Burak Senay, Murtaza Kaya, Sahinde Atlanoglu, Mehmed Ulu

“…Significant correlations were also found between VExUS scores and PV Doppler findings, PV diameter, and other ultrasonographic parameters. Conclusion Higher VExUS scores appear to be associated with increased 30-day mortality in CHF patients presenting to the emergency department, supporting its potential utility as a noninvasive prognostic tool. …”
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A Systematic Review on Safety and Efficacy of Ayurvedic Interventions in Hemiplegia () by Akashlal M. MD (Ay), Pratibha P Nair MD (Ay), Devi R Nair MD (Ay), Azeem Ahmad MD (Ay), B Chandrasekhararao MD (Ay), D Sudhakar MD (Ay), Srikanth Narayanam PhD (Ay), Rabinarayan Acharya PhD (Ay)

“…The risk of bias assessment utilised the RoB 2 tool for randomised trials and the ROBINS-I tool for non-randomised trials. …”
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Validation of the P-POSSUM score in predicting outcomes in emergency craniotomy: A prospective observational study by Hari Prakash Rai, Shivam Sharma

“…Conclusion: The P-POSSUM score is a reliable and accurate tool for predicting post-operative mortality in patients undergoing emergency craniotomy. …”
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The Prediction of Outcomes in Patients Admitted with Traumatic Brain Injury Using the Rotterdam Score by Bikram Shakya, Bidur KC

“…The Rotterdam computed tomography score, a widely utilized prognostic tool based on cranial computed tomography findings, assesses critical parameters such as basal cistern status, midline shift, and traumatic subarachnoid hemorrhage. …”
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Effectiveness of interventions to improve hand motor function in individuals with moderate to severe stroke: a systematic review protocol by Li Ding, Shugeng Chen, Hewei Wang, Jie Jia, Ray Arceo, Jun Yao

“…The risk of bias of the included RCTs will be evaluated by the Cochrane Collaboration’s tool. A qualitative synthesis will be provided in text and table, to summarise the main results of the selected publications. …”
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A novel computational method for rodent electrographic recording and analysis using off-the-shelf intracerebral depth electrodes by Cora Helton, Nicole Rodgers, Payton Klosa, Erik Van Newenhizen, Matt Hodges, Matt Jones, Kunal Gupta

“…We also provide a novel software-based detection tool that requires limited prior coding knowledge to use and with detection parameters that can be easily customized. …”
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Difference between Capillary Blood Glucose of Free Flap and the Patient: A Novel Objective Marker of Free Flap Vascular Compromise during Postoperative Monitoring by Sourabh Shankar Chakraborty, Ranjit Kumar Sahu, Manojit Midya, Anjana Malhotra, Akhil Dhanesh Goel, Ashish Pundhir, Sudeshna Acharya

“…The aim of our study was to establish the role of capillary blood glucose measurements of the flap in relation to patients' fingertip, as an objective tool for postoperative free flap monitoring. …”
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Cardiovascular function shows early impairment in asymptomatic adolescents diagnosed with type 1 diabetes mellitus: an ultrasound-derived myocardial work study by Martina Ghirardo, Martina Ghirardo, Irene Cattapan, Irene Cattapan, Jolanda Sabatino, Jolanda Sabatino, Alice Pozza, Alice Pozza, Jennifer Fumanelli, Jennifer Fumanelli, Martina Avesani, Joaquin Gutierrez De Rubalcava Doblas, Carlo Moretti, Biagio Castaldi, Giovanni Di Salvo

“…Myocardial work (MW) has emerged as an afterload-independent tool that allows early identification of subclinical damage. …”
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In silico prediction of the pharmacological potential of new 7-alkyl-8-hydrazine derivatives of 1,3-dimethylxanthine by L. M. Mosula, V. S. Mosula, D. B. Korobko

“…The use of the freely available web tool SwissADME made it possible to calculate physicochemical parameters and to determine the drug-likeness properties of molecules. …”
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Discrete Meta-Modeling Method of Breakable Corn Kernels with Multi-Particle Sub-Area Combinations by Jiangdong Xu, Yanchun Yao, Yongkang Zhu, Chenxi Sun, Zhi Cao, Duanyang Geng

“…Simulation is an important technical tool in corn threshing operations, and the establishment of the corn kernel model is the core part of the simulation process. …”
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Cutting-Edge Stochastic Approach: Efficient Monte Carlo Algorithms with Applications to Sensitivity Analysis by Ivan Dimov, Rayna Georgieva

“…Such systems often involve numerous input parameters. It is crucial to understand how susceptible the solutions are to uncontrolled variations or uncertainties within these input parameters. …”
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Hemodynamic predictors of rupture in abdominal aortic aneurysms: a case series using computational fluid dynamics by Kiyoon Moon, Yosep Lee, Junseong Lee, Youngki Son, Youngje Woo, Eunju Jang, Sangseob Yun, Suncheol Park, Jangyong Kim

“…These findings support the utility of CFD in identifying rupture-prone regions and suggest its potential as a supplementary tool for risk stratification beyond diameter-based criteria.…”
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Association between male (in)fertility and telomeric dysfunction: a systematic review and meta-analysis by Sunny Kumar Jignesh Kumar Patel, Amit Roy Chowdhury, Sujata Kar, Purna Chandra Mohapatra, Birendranath Banerjee

“…Numerous investigations have been carried out in the past to look at the connections between the clinical outcome, male sperm parameters, telomere length (TL), and embryonic development. …”
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Comparison of Pocket Pulse Oximeter and Standard Pulse Oximeter With ABG Analysis in Critically Ill Patients by Jeswanth Reddy N., Kiran H. S., B. J. Subhash Chandra, Basavana Gowdappa H.

“…Hence, we conclude that the PPO is a useful tool for reliable monitoring of O2 saturations.  …”
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Integrating an artificial neural network with genetic, particle swarm optimization algorithms, and fuzzy rule to optimize the surface roughness in dry turning AISI 1045 steel by Abdulmajeed Dabwan, Mohammed K Almatani, Mohammed Alqahtani, Husam Kaid, Khaled N Alqahtani, Mustafa M Nasr, Adham E Ragab

“…Ra of 0.202 μm was achieved by using tool-type wiper carbide inserts, a speed of 80 m min ^−1 , a depth of cut of 0.5 mm, and a feed rate of 0.045 mm rev ^−1 as the input process parameters with a relative error of less than 3%.…”
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