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

“…The predictive value of the relative signal intensity attenuation index (rSIAI) based on enhanced MR parameters and laboratory parameters on disease control was evaluated using receiver operating characteristic (ROC) curves, with the determination of optimal cut-off values (COVs) accomplished via Youden’s index. …”
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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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Disease-free survival as a surrogate for overall survival in early-stage pancreatic cancer trials: a correlation meta-analysis by Bishal Gyawali, Luís Felipe Leite, Luiz F Costa de Almeida, Lucas Diniz da Conceição, Mariana Macambira Noronha, Marcos Belotto, Erick F Saldanha, Thais Baccili Cury Megid, Renata D’Alpino Peixoto

“…Trial-level surrogacy of DFS for OS was assessed using weighted linear regression, calculating the coefficient of determination (R²) and surrogate threshold effect (STE).Results 29 trials involving 6777 patients were included. …”
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Development of a Partial Clustering Model of Alloy Viscosity by Aristotel Issagulov, Astra Makasheva, Vitaliy Malyshev, Svetlana Kvon, Vitaliy Kulikov, Lazzat Bekbayeva, Saniya Arinova

“…The high correlation coefficient indicates the correctness of the derived equations and possibility of predicting the distribution of the viscosity of the alloy at high temperatures based on its state diagram. …”
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Postoperative Apnea‐Hypopnea Index Prediction of Velopharyngeal Surgery Based on Machine Learning by Jingyuan You, Juan Li, Yingqian Zhou, Xin Cao, Chunmei Zhao, Yuhuan Zhang, Jingying Ye

“…The ANN model achieved the highest performance with a coefficient of determination (R2) of 0.23 ± 0.05, a root mean square error of AHI of 10.71 ± 1.01 events/h, an accuracy for outcomes classification of 81.3% ± 1.2% and an area under the receiver operating characteristic of 74.6% ± 1.9%, whereas for LR model, they were 0.094 ± 0.06, 11.61 ± 0.76 events/h, 71.7% ± 1.5% and 68.8% ± 2.9%, respectively. …”
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Effects of urban sprawl on land use change in the peripheral villages of Tehran metropolis (case study: Tehran-Damavand axis) by ِAshkan Mohammadi, Naser Shafiei Sabet, Alireza Shakiba

“…Material and methods: For accurate analysis of the effects of sprawl phenomena, descriptive and analytical methods have been used. …”
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Validity and reliability study of the Turkish version of the autism spectrum knowledge scale by Ayten Doğan Keskin, Nuray Öztürk, Nazan Kaytez, Neriman Aral, Fatma Elibol

“…However, in Türkiye, there is currently a lack of assessment tools with cross-cultural validity that apply psychometrically sound methods to the measurement of the level of knowledge about ASD within the general population. …”
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Vital Sign and Biochemical Data Collection Using Non-contact Photoplethysmography and the Comestai Mobile Health App: Protocol for an Observational Study by Gianvincenzo Zuccotti, Paolo Osvaldo Agnelli, Lucia Labati, Erika Cordaro, Davide Braghieri, Simone Balconi, Marco Xodo, Fabrizio Losurdo, Cesare Celeste Federico Berra, Roberto Franco Enrico Pedretti, Paolo Fiorina, Sergio Maria De Pasquale, Valeria Calcaterra

“…Sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and likelihood ratios will be calculated to determine the ability of the new app to accurately measure vital signs. …”
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Validation of the Persian version of the summary of diabetes self-care activities scale (SDSCA) in pregnant women with gestational diabetes mellitus using a COSMIN methodology by Mahsa Maghalian, Mohammad Asghari Jafarabadi, Fatemeh Abbasalizadeh, Sakineh Mohammad-Alizadeh-Charandabi, Solmaz Ghanbari-Homaie, Mojgan Mirghafourvand

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Posterior-only fixation in pelvic fractures: Is it sufficient in lateral compression injuries? by Sameer Aggarwal, Sandeep Patel, Lav Mehta, Mohak Kataria, Vishal Kumar, Prasoon Kumar

“…Therefore, this study was formulated to determine the practicability of posterior-only fixation in LC injuries. …”
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From Patterns to Predictions: Spatiotemporal Mobile Traffic Forecasting Using AutoML, TimeGPT and Traditional Models by Hassan Ayaz, Kashif Sultan, Muhammad Sheraz, Teong Chee Chuah

“…Model accuracy is assessed using standard evaluation metrics, including root mean square error (RMSE), mean absolute error (MAE) and the coefficient of determination (R²). Results show that AutoML delivers the most accurate forecasts, with significantly lower RMSE (2.4990 vs. 14.8226) and MAE (1.0284 vs. 7.7789) compared to TimeGPT and a higher R² score (99.96% vs. 98.62%). …”
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Spatiotemporal Correlation Analysis for the Incidence of Esophageal and Gastric Cancer From 2010 to 2019: Ecological Study by Zixuan Cui, Chen Suo, Yidan Zhao, Shuo Wang, Ming Zhao, Ruilin Chen, Linyao Lu, Tiejun Zhang, Xingdong Chen

“…Spatial autocorrelation analysis using Moran I in ArcGIS 10.8 (Esri) was performed to determine spatial clustering of each cancer incidence. …”
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Jakość życia osób po urazie rdzenia kręgowego by Grażyna Franek, Ewa Malicka, Zofia Nowak-Kapusta, Aleksandra Cieślik

“…The aim of the study was to determine the quality of life of people after spinal cord injury. …”
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A Novel Evolutionary Deep Learning Approach for PM_2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran by Mehrdad Kaveh, Mohammad Saadi Mesgari, Masoud Kaveh

“…The proposed OA-LSTM model achieved the lowest root mean square error (RMSE) value of 3.01 µg/m³ and the highest coefficient of determination (<i>R</i>²) value of 0.88, underscoring its effectiveness compared to other models. …”
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GPT-based prediction of short-term survival following decompressive hemicraniectomy in malignant middle cerebral artery infarction by Sebastian Lehmann, Martin Vychopen, Erdem Güresir, Johannes Wach

“…We analyzed the prognostic prediction of GPT by calculating the area under the curve (AUC) and determining the optimal cutoff using the Youden index for divergent prediction outcomes. …”
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System Design and Reliability Improvement of Wireless Sensor Network in Plant Factory Scenario by Wenhao Luo, Yuan Zeng, Ximeng Zheng, Lingyan Zha, Weicheng Cai, Qing Wang, Jingjin Zhang

“…The results indicated that the coefficient of determination (R²) for the prediction model was 0.9962. …”
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