Wear Behaviour of Cu-Cr-Zr Ternary Alloy for Fin-Tube Resistance Welding Electrode Material by Kiran G. Sirsath, Bhanudas D. Bachchhav

“…The coefficients of determination (R²) for these methods were 0.99 and 0.86 respectively. …”
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A Novel Synchronization-Based Approach for Functional Connectivity Analysis by Angela Lombardi, Sabina Tangaro, Roberto Bellotti, Alessandro Bertolino, Giuseppe Blasi, Giulio Pergola, Paolo Taurisano, Cataldo Guaragnella

“…Popular approaches for quantifying functional coupling between fMRI time series are linear zero-lag correlation methods; however, they might reveal only partial aspects of the functional links between brain areas. …”
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Social network structure modulates neural activities underlying group norm processing: evidence from event-related potentials by Mengfei Han, Ruoxuan Han, Xin Liu, Duo Xie, Rong Lin, Yaokun Hao, Hanxiao Ge, Yiwen Hu, Yuyang Zhu, Liu Yang

“…IntroductionSocial ties play a crucial role in determining the health and wellbeing of individuals. …”
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An Explainable Machine Learning Approach for IoT-Supported Shaft Power Estimation and Performance Analysis for Marine Vessels by Yiannis Kiouvrekis, Katerina Gkirtzou, Sotiris Zikas, Dimitris Kalatzis, Theodor Panagiotakopoulos, Zoran Lajic, Dimitris Papathanasiou, Ioannis Filippopoulos

“…Model performance was assessed using the coefficient of determination (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>) and RMSE, with XGBoost achieving the highest accuracy (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mspace width="3.33333pt"></mspace><mo>=</mo><mspace width="3.33333pt"></mspace><mn>0.9490</mn></mrow></semantics></math></inline-formula>, RMSE 888) and LightGBM being close behind (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mspace width="3.33333pt"></mspace><mo>=</mo><mspace width="3.33333pt"></mspace><mn>0.9474</mn></mrow></semantics></math></inline-formula>, RMSE 902), with both substantially exceeding the industry baseline model (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mspace width="3.33333pt"></mspace><mo>=</mo><mspace width="3.33333pt"></mspace><mn>0.9028</mn></mrow></semantics></math></inline-formula>, RMSE 1500). …”
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Low-Cost Monitoring of Airborne Heavy Metals Using Lichen Bioindicators: Insights from Opole, Southern Poland by Liubomyr Bahinskyi, Paweł Świsłowski, Oznur Isinkaralar, Kaan Isinkaralar, Małgorzata Rajfur

“…Microscope and chemotaxonomy methods were used in the laboratory to confirm field identification of lichens (atlases and keys). …”
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Creation of the development strategy in enterprise based on dynamic SPACE-analysis by Valeriy Balan, Inna Tymchenko

“…Methods. SPACE-analysis, analytic hierarchy process (ANP), expert analysis. …”
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Clinical and laboratory features of acute intestinal infections with hyemocolitis syndrome in children by O. I. Klimova, N. V. Gonchar, L. A. Alekseeva, Yu. V. Lobzin

“…The purpose of the work is to study the clinical and laboratory features of AII with hemocolitis syndrome depending on the etiology and complications. Materials and methods. Observed 77 patients of AII aged from 3 months up to 16 years. …”
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Innovative measurement of routine physiological variables (heart rate, respiratory rate and oxygen saturation) using a remote photoplethysmography imaging system: a prospective com... by Eliane Albuisson, Anthony Moussu, Bruno Chenuel, Yohann Bernard, Mathias Poussel, Véronique Saunier

“…Age, gender and skin phototype will also be collected. The intraclass coefficient correlation will be performed to determine the accuracy and precision of the rPPG algorithm readings.Ethics and dissemination The study protocol has been approved by the French Agency for the Safety of Health Products (ANSM registration no. …”
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Dysphagia is a risk factor of malnutrition in X-linked Dystonia-Parkinsonism by Tabitha H. Kao, Perman Gochyyev, Nutan Sharma, Jan K. de Guzman, Melanie Supnet Wells, Patrick Acuna, Shasha Li, Hannah P. Rowe, Bridget J. Perry

“…Spearman’s rank order correlation coefficient was used to determine an association between baseline EAT-10 total scores and 12-month malnutrition status, and multiple linear regression to evaluate the predictive ability of the EAT-10. …”
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Use of the ReSVinet Scale for parents and healthcare workers in a paediatric emergency service: a prospective study by Pablo Vásquez-Hoyos, Jhon Camacho-Cruz, Shirley Briñez, Jorge Alvarez, Victoria Leal, Licet Villamizar Gómez

“…The Respiratory Syncytial Virus network (ReSVinet) Scale offers a version for parents that could potentially help as an early warning system.Objective To determine whether or not the ReSVinet Scale for ARI in infants can be reliably used by HCWs and parents in an emergency service.Methods A prospective study was done of infants with ARI who were admitted to a paediatric emergency room to assess the ReSVinet Scale when used by faculty (paediatric doctor-professors), residents (doctors doing their first specialty in paediatrics) and parents. …”
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Semiquantitative chest computed tomography scoring system to estimate severity in pediatric community-acquired pneumonia by Huifeng Fan, Xuehua Xu, Wangchun Dai, Diyuan Yang, Senqiang Zeng, Qiang Zeng, Gen Lu

“…IntroductionA retrospective study assessed the utility of semiquantitative chest Computed tomography (CT) in diagnosing and determining the severity of community acquired pneumonia (CAP) in children.MethodsThe study included pediatric patients with CAP from January 2019 to December 2023. …”
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Advanced Corneal Cross-Linking System with Fluorescence Dosimetry by Marc D. Friedman, Radha Pertaub, David Usher, Evan Sherr, Pavel Kamaev, David Muller

“…It is hoped that this method may play a significant role in determining the underlying mechanisms of corneal cross-linking and assist with the development of additional riboflavin formulations. …”
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Chemometrics-aided surface-enhanced Raman spectrometric detection and quantification of GH and TE hormones in blood. by Annah M Ondieki, Zephania Birech, Kenneth A Kaduki, Peter W Mwangi, Moses Juma, Boniface M Chege

“…The ANN models, trained using PCA scores from blood samples with varied hormone concentrations, achieved high predictive accuracy with coefficients of determination (R² > 87.71%) and low root mean square error (RMSE < 0.6436). …”
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A nomogram based on quantitative MR signal intensity predicts early response to combined systemic treatment in patients with hepatocellular carcinoma by Ran Tao, Haohao Lu, Xiangjun Dong, Qian Qian Ren, Hongjie Fan, Zhaoming Tang, Xiangwen Xia

“…ObjectiveThis study aimed to develop and evaluate the value of a nomogram based on quantitative MR signal intensity to predict response to combined systemic therapy of anti-angiogenesis and immune checkpoint inhibitor (ICI) in hepatocellular carcinoma (HCC) patients.Methods117 HCC patients who underwent the combined systemic treatment at a tertiary hospital between September 2020 and May 2024 were enrolled and divided into a development cohort (n = 82) and a validation cohort (n = 35). …”
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A comparative bench scale study of oxygen transfer dynamics using micro-nano bubbles and conventional aeration in water treatment systems by Mohamed Ibrahim kizhisseri, Marwa Sakr, Munjed Maraqa, Mohamed M. Mohamed

“…This study used micro-nano air bubbles to experimentally determine the volumetric oxygen transfer coefficient (kLa), standard oxygen transfer rate (SOTR), and standard oxygen transfer efficiency (SOTE) of an MNB aeration system and compared them with those of a conventional aeration system. …”
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Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones by Debasish Roy, Bappa Das, Pooja Singh, Priyabrata Santra, Shovik Deb, Bimal Kumar Bhattacharya, Ajit Govind, Raghuveer Jatav, Deepak Sethi, Tridiv Ghosh, Joydeep Mukherjee, Vinay Kumar Sehgal, Prakash Kumar Jha, Sheshakumar Goroshi, P. V. Vara Prasad, Debashis Chakraborty

“…The calibration accuracy of the RF model was in better agreement with the coefficient of determination (R2), root mean square error (RMSE), and normalized RMSE (nRMSE) values ranging between 0.961–0.997, 0.103–0.439 K, and 0.034–0.143%, respectively, and lower values of standard errors for all three locations. …”
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ELEVATED SERUM PENTRAXIN-3 LEVELS IS POSITIVELY CORRELATED TO DISEASE SEVERITY AND COAGULOPATHY IN COVID-19 PATIENTS by Ming Tong, Fang Chen, Xiaolin Xiao, Lianhong Zou, Yu Jiang, Changping Hu, Qing Zheng, Hong Xu, Chen Zhu, Ying Xiong, Yimin Zhu

“…RESULTS Our results showed that serum PTX3 levels (median values, 10.21 vs 3.36, P < 0.001), chest computerized tomography scores (median values, 10.0 vs 9.0, P < 0.05), and length of stay (16.0±4.2 vs 10.7±3.6, P = 0.001) in the D-dimer_H group were significantly higher than that in D-dimer_L group. The coefficient of determination for PTX3 was 0.651 (P < 0.001) in the D-dimer_H group. …”
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Utilization of the mid-infrared spectroscopy in a county-scale soil survey: The case of Pest County, Hungary by Mohammed Ahmed MohammedZein, Brian Rotich, Elsadig Omer, Nada Eldawwy, Adam Csorba

“…Two accuracy metrics, namely, Coefficient Determination (R2) and Root Mean Square Error (RMSE), were used to evaluate the accuracy of MIR models. …”
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Monsoonal influence on particulate organic carbon variability through satellite data analysis by C.K. Tito, D.G. Bengen, T. Prartono, A. Damar, A.J. Wahyudi

“…Despite high variability, the trend in particulate organic carbon remains nearly flat (Coefficient of determination 0.0002) from hindcast to forecast.CONCLUSION: The results showed that in Jakarta Bay, particulate organic carbon variability is primarily influenced by a combination of biological production and physical transport processes modulated by monsoonal forcing. …”
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Comparative study on RF-BP model prediction of mining water-conducting fracture zone height in Binchang Coal Mine by Yadong JI, Xuan LIU, Kaipeng ZHU, Chunhu ZHAO, Kai LI, Chenhan YUAN, Panpan LI, Pengzhen YAN

“…The root mean square errors (RMSE) of the training set and the test set are 0.03741 and 0.05516, and the determination coefficient R² is 0.98737 and 0.95789, respectively. …”
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