Iceball growth 3D simulation model based on finite element method for hepatic cryoablation planning by Shengwei Li, Yumeng Zhang, Fanyu Zhou, Sheng Xu, Yufeng Wang, Lin Cheng, Zhixin Bie, Bin Li, Xiao-Guang Li

“…Results The measurements in the ex vivo experiments showed a close similarity between the simulated and experimental iceball growth curves for three cryoprobe models, with all mean absolute error<2.9 mm and coefficient of determination>0.85. …”
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Are There the Antiarrhythmic Effects of Omega3 Polyunsaturated Fatty Acids in Cardiosurgical Patients? by V. V. Lomivorotov, S. M. Efremov, E. A. Pokushalov, A. B. Romanov, D. N. Ponomarev, A. M. Chernyavsky, A. N. Shilova

“…The duration of POAF was associated with the risk of rehospitalizations for decompensated heart failure (regression coefficient, 0.24; standard error, 0.02; p&lt;0.0001; R2=0.74).Conclusion. The results of the study do not support the efficiency of perioperatively using ω3PUFA to prevent POAF…”
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Utilizing LuTan-1 SAR Images to Monitor the Mining-Induced Subsidence and Comparative Analysis with Sentinel-1 by Fengqi Yang, Xianlin Shi, Keren Dai, Wenlong Zhang, Shuai Yang, Jing Han, Ningling Wen, Jin Deng, Tao Li, Yuan Yao, Rui Zhang

“…In conclusion, these findings provide valuable insights for future subsidence-monitoring tasks utilizing LT-1 data. …”
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Test-retest properties of [11C]PXT012253 as a positron emission tomography (PET) radiotracer in healthy human brain: PET imaging of mGlu4 by Per Stenkrona, Ryosuke Arakawa, Jiamei Guo, Benny Bang-Andersen, Sangram Nag, Mohammad Mahdi Moein, Zhisheng Jia, Zsolt Cselenyi, Christer Halldin, Andrea Varrone

“…MA1 showed better identifiability and standard error than Logan. The test-retest metrics in pons, putamen and thalamus showed absolute variability of V T<7% and ICC > 0.93 using the 2TC, Logan and MA1 graphical analyses. …”
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Strength development following a six-week risk reduction athletic development training program in men and women by Christopher J. Cleary, Krisha Crane, Lisa M. Vopat, Bryan G. Vopat, Ashley A. Herda

“…There was a main effect for time where the post-rehabilitative athletes’ quadriceps and hamstrings strength increased by (mean difference ​± ​standard error) (4.2 ​± ​0.7) kg (p ​< ​0.01) and (4.5 ​± ​0.9) kg (p ​< ​0.01) respectively, with legs (operative [OP]) and non-operative [NOP]) combined. …”
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Prediction of biological evolution following blood product transfusion during liver transplantation: the contribution of machine learning to decision-making by Jacques Creteur, Thibault Martinez, Valerio Lucidi, Turgay Tuna, Florian Blanchard, Olivier Duranteau, Benjamin Popoff, Axel Abels, Eric Savier, Patrizia Loi, Desislava Germanova, Anne Demulder

“…Despite these limitations, this study provides a reproducible framework for evaluating transfusion efficacy, supported by openly shared Python code and the application of Taylor diagrams for model evaluation.Conclusion While our models are unsuitable for routine clinical use, they highlight the potential of machine learning in transfusion medicine. …”
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Constipation is Associated With Increased Hospital Utilization in Cystic Fibrosis: A National Inpatient Sample Analysis by Matt Pelton, Arvind Bussetty, Sarah Abdel-Meguid, Harrison Clement, Natale Mazzaferro, Tae Yang Park, Sugeet Jagpal, Christopher Vélez, Keerthana Kesavarapu

“…Constipation was independently associated with increased LOS (1.22 days, standard error [SE] 0.21) and total charges ($14,280, SE $12,308) among PwCF, despite undergoing a similar number of endoscopic procedures (−0.02 SE 0.06). …”
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Iron Deposition and Functional Connectivity Differences in Females With Migraine Without Aura: A Comparative Study of Headache Sides by Yan Zhang, Mingxian Bai, Zhenliang Xiong, Qin Zhang, Lihui Wang, Xianchun Zeng

“…ID and FC among the four groups were analyzed using two‐sample t‐tests (with cluster‐wise family‐wise error [FWE] correction). Pearson correlation analysis was used to evaluate the relationships between clinical variables and both ID and FC values. …”
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The Development of a Non-Invasive Screening Method Based on Serum microRNAs to Quantify the Percentage of Liver Steatosis by Polina Soluyanova, Guillermo Quintás, Álvaro Pérez-Rubio, Iván Rienda, Erika Moro, Marcel van Herwijnen, Marcha Verheijen, Florian Caiment, Judith Pérez-Rojas, Ramón Trullenque-Juan, Eugenia Pareja, Ramiro Jover

“…External validation of this model with a cohort of mixed MASLD patients (<i>n</i> = 25) showed a root mean squared error of prediction (RMSEP) of 5.3. In conclusion, it is possible to predict the percentage of hepatic steatosis with a low error rate by quantifying the serum level of five miRNAs using a cost-effective and easy-to-implement RT-qPCR method.…”
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Diagnostic performance of the extended focused assessment with sonography for trauma (EFAST) patients in a tertiary care hospital of Nepal by Samjhana Basnet, Sanu Krishna Shrestha, Alok Pradhan, Roshana Shrestha, Anmol Purna Shrestha, Grishma Sharma, Sahil Bade, Latika Giri

“…The overall accuracy was 99.4%.Conclusion The results of this study suggest that EFAST examination performed by first-line healthcare providers is a useful method for assessment of thoracic and abdominal injuries. …”
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Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesity by Kalina Veruska Da Silva Bezerra Masset, Analiza M. Silva, Analiza M. Silva, Gerson Ferrari, Gerson Ferrari, Breno Guilherme De Araújo Tinoco Cabral, Paulo Moreira Silva Dantas, Roberto Fernandes Da Costa

“…No FFM differences were observed between the new models and the reference method (p &gt; 0.05).ConclusionThe new proposed models provide valid options to estimate FFM in an adult population with overweight/obesity.…”
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Suppression of Deactivation of Working Memory and Promotion of Activation of Sustained Attention in the Default Mode Network Are Affected by Schizotypy in a Large Sample of Nonclin... by Seishu Nakagawa, Hikaru Takeuchi, Yasuyuki Taki, Ryoichi Yokoyama, Kohei Sakaki, Kelssy Hitomi dos Santos Kawata, Takayuki Nozawa, Susumu Yokota, Tsuyoshi Araki, Rui Nouchi, Ryuta Kawashima

“…Corrections for multiple comparisons were performed via the threshold‐free cluster enhancement method with a familywise error‐corrected threshold of p < 0.0167 (0.05/3) at the whole‐brain level, including the cerebellum. …”
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Comparative evaluation of accuracy, precision, and radiation dose between mindways and low-dose iCare QCT for lumbar spine BMD using the European spine phantom by Yujie Li, Yujie Li, Tiantian Yin, Tiantian Yin, Qiushi Yang, Heli Han, Zeguo Wang, Wanjiang Yu

“…Accuracy was evaluated using relative measurement error (RME), and precision was assessed via relative standard deviation (RSD). …”
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Medication use and symptomology in North American women with myalgic encephalomyelitis/chronic fatigue syndrome by Angela Pochakom, Gillian MacNevin, Robyn F. Madden, Amy C. Moss, Julia M. Martin, Sophie Lalonde-Bester, Jill A. Parnell, Eleanor Stein, Jane Shearer

“…Despite the profound physical and mental burden experienced by those living with ME/CFS, patients often face a trial-and-error process in finding medications that offer some relief.MethodThe current study surveyed 135 North American women diagnosed with ME/CFS to characterize medication use in relation to disease features, symptomology, and function. …”
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Cross-cultural adaptation and validation of the Spanish version of the Prevent for Work questionnaire by Julia Blasco-Abadía, Pablo Bellosta-López, Víctor Doménech-García, Thorvaldur Skuli Palsson, Steffan Wittrup McPhee Christensen, Steffan Wittrup McPhee Christensen, Morten Hoegh, Pedro Berjano, Francesco Langella

“…Finally, 50 Spanish workers completed the P4Wq 2 weeks later to evaluate test–retest reliability and measurement error.ResultsMinor changes were made after the forward-and-backward translation process, which ensured that the Spanish versions was face-valid. …”
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Dorsal cortex line is more reliable than transepicondylar axis for rotation in revision total knee arthroplasty with severe bone loss by Mikhail Salzmann, Ellen Kropp, Robert Prill, Nikolai Ramadanov, Marco Adriani, Roland Becker

“…The measurements of the DCL demonstrated very good to excellent test-retest and inter-rater reliability coefficients (intraclass correlation coefficient 0.80 to 0.99). Conclusion: This study reveals a correlation between the sTEA and the DCL. …”
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Astigmatism research and application of vector method of the last half century: a bibliometric and visualized analysis by Jiamei Zhang, Jiamei Zhang, Lulu Xu, Lulu Xu, Mengyuan Shan, Liyun Yuan, Yi Dong, Yi Dong, Yan Wang, Yan Wang, Yan Wang

“…BackgroundAs a common type of refractive error, astigmatism has always been one of the important factors affecting visual quality in clinical practice and it is quite an important public health burden. …”
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Mechanical Anastomotic Coupling Device versus Hand-sewn Venous Anastomosis in Head and Neck Reconstruction—An Analysis of 1694 Venous Anastomoses by Rajan Arora, Kripa Shanker Mishra, Hemant T. Bhoye, Ajay Kumar Dewan, Ravi K. Singh, Ravikiran Naalla

“…The venous anastomosis is a critical step in free-tissue transfer. The margin of error is less and the outcome depends on the surgeon’s skill and technique. …”
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Nurses' occupational fatigue level and risk factors: A systematic review and meta-analysis. by Rong Pi, Yunfang Liu, Rong Yan, Zong De, Yali Wan, Yi Chen, Zihan He, Fang Liu, Yan Wang, Suyun Li

“…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”
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Multi-input PINN Surrogate Model for Digital Twin of Lead-cooled Fast Reactor Main Pump by GUO Yiwen, LI Liangxing, XIANG Zutao, GUI Jiabin, SHI Shang, LEI Zhenxin, XU Xiangyang

“…The results show that the model demonstrates good ability in identifying flow field details near the rotating blades which suffer from the most corrosive environment in the whole pump, with a relative error to CFD calculation results of generally less than 20%, a prediction time of approximately 0.273 seconds per operating condition, and a prediction speed improvement of 15 000 times. …”
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