Cutting-edge approaches to specific energy prediction in TBM disc cutters: Integrating COSSA-RF model with three interpretative techniques by Jian Zhou, Zijian Liu, Chuanqi Li, Kun Du, Haiqing Yang

“…In particular, the Chebyshev map-SSA-RF (CHSSA-RF) model achieves the most satisfactory prediction accuracy among all models, resulting in the highest coefficient of determination R2 and dynamic variance-weighted global performance indicator values (0.9756 and 0.0814) and the lowest values of root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) (6.4742, 4.0003, and 20.41%). …”
Get full text

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. …”
Get full text

Development of a Partial Clustering Model of Alloy Viscosity by Aristotel Issagulov, Astra Makasheva, Vitaliy Malyshev, Svetlana Kvon, Vitaliy Kulikov, Lazzat Bekbayeva, Saniya Arinova

“…This paper also establishes a quantitative correlation between the dynamic viscosity of alloys and temperature of liquidus in isotherms. The research methods are a theoretical substantiation of possibility of the isolated use of the Boltzmann distribution (energy spectrum) for the kinetic energy of the chaotic (thermal) motion and particle collisions as applied to a condensed state of matter. …”
Get full text

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. …”
Get full text

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

Get full text

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

“…Methods: Between March 2015 and May 2020, all patients with LC type pelvic ring fractures who were admitted and operated upon in a single level 1 trauma center were included in this cross-sectional observational study. …”
Get full text

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%). …”
Get full text

Automated Stock Volume Estimation Using UAV-RGB Imagery by Anurupa Goswami, Unmesh Khati, Ishan Goyal, Anam Sabir, Sakshi Jain

“…The results highlight a strong exponential correlation between crown area and stem stock volume, with a coefficient of determination of 0.67 and mean squared error (MSE) of 0.0015. …”
Get full text

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

“…ObjectiveThis study aims to explore the spatiotemporal correlation between the incidence patterns of esophageal and gastric cancer in 204 countries and territories from 2010 to 2019 so that prevention and control strategies can be more effective. MethodsThe data of esophageal and gastric cancer were sourced from the Global Burden of Disease (GBD). …”
Get full text

Jakość życia osób po urazie rdzenia kręgowego by Grażyna Franek, Ewa Malicka, Zofia Nowak-Kapusta, Aleksandra Cieślik

“…Material and Methods. The study was conducted among 30 adults after spinal cord injury from various areas of Poland. …”
Get full text

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

“…IntroductionAn analysis of the prognostic ability of the large language model (LLM) Generative Pre-trained Transformer (GPT) to predict short-term survival and functional outcomes in patients with malignant middle cerebral artery (MCA) infarction following decompressive hemicraniectomy.MethodsThis retrospective study included 100 patients with malignant MCA infarction who underwent decompressive craniectomy (DC). …”
Get full text

Predicting Aboveground Carbon Storage in Different Types of Forests in South Subtropical Regions Using Machine Learning Models by Jiarun Liu, Zihang Yang, Lin Li, Xiaoxue Chu, Shiguang Wei, Juyu Lian

“…Model performance was evaluated using root mean square error, coefficient of determination (R2), and mean absolute error. …”
Get full text

Parathormone Levels in a Middle-Eastern Healthy Population Using 2nd and 3rd Generation PTH Assays by Marie-Hélène Gannagé-Yared, Marie-Noëlle Kallas-Chémaly, Ghassan Sleilaty

“…Methods. Fasting PTH was measured using 2nd and 3rd generation Diasorin PTH assays in 339 vitamin-D-replete healthy subjects aged 18 to 63 years (230 men and 109 women) who have normal calcium levels and an eGFR ≥60 ml/mn. 25-OH vitamin D (25(OH)D) was measured using the Diasorin assay. …”
Get full text

Computer Literacy and Utilization of Health Information Technology in Nurses\' Documentation and Plan of Care by Sittie Ariefah J. Abdulkhaled, Hamdoni K. Pangandaman

“…Methods: A descriptive correlational design was employed, focusing on staff nurses at a tertiary hospital in Lanao del Sur, Philippines, in 2023. …”
Get full text

Do repeated vaccinations affect the incidence of coronavirus infection? by K. K. Tikhomirova, S. M. Kharit, O. V. Goleva

“…The age over 60 determines the need for routine revaccinations. Medical workers are not at increased risk of infection if they have been vaccinated, revaccinated, or have developed hybrid immunity.…”
Get full text

Correlation Between Spinopelvic Parameters, Body Mass Index, Waist Circumference, and Chronic Non-Specific Low Back Pain by Daphne Butzen, Yannick Smolders, Tom Stroobants, Gino Verleye, Dieter Thijs, Erik Van de Kelft

“…We hypothesized that people with a low PI (non-pronounced lumbar lordosis) have significantly lower WC values than those with a high PI (pronounced lumbar lordosis). Methods: Adult patients presenting to the outpatient neurosurgery clinic with non-specific chronic low back pain who had undergone full spine radiography were included. …”
Get full text

Transforming Prediction into Decision: Leveraging Transformer-Long Short-Term Memory Networks and Automatic Control for Enhanced Water Treatment Efficiency and Sustainability by Cheng Qiu, Qingchuan Li, Jiang Jing, Ningbo Tan, Jieping Wu, Mingxi Wang, Qianglin Li

“…Experimental validation on NH₃-N datasets from the SBR system reveals that the proposed model significantly outperforms existing advanced methods in terms of root mean squared error (RMSE), mean absolute error (MAE), and coefficient of determination (R²). …”
Get full text

Prediction of future visceral adiposity and application to cancer research: The Multiethnic Cohort Study. by Lynne R Wilkens, Ann M Castelfranco, Kristine R Monroe, Bruce S Kristal, Iona Cheng, Gertraud Maskarinec, Meredith A Hullar, Johanna W Lampe, John A Shepherd, Adrian A Franke, Thomas Ernst, Loïc Le Marchand, Unhee Lim

“…We compared the forecasted prediction scores to future VAT using the coefficient of determination (R2). In independent nested case-control data in MEC, we applied the concurrent and forecasted VAT models to assess association of the scores with subsequent incident breast cancer (950 pairs) and colorectal cancer (831 pairs).…”
Get full text

Heterogeneity in susceptibility and connectivity for epidemic models by Mr Tarek Alrefae

“…We investigate and compare the effect of including population-level heterogeneities in both susceptibility and connectivity across two different model structures (an ODE-based SIR-like model and a network model). Methods: We extend previous work (Gomes 2022) by considering distributions for these two sources of heterogeneity other than gamma, and showcase the relation between the distribution choice and HITs/attack rates. …”
Get full text

The Effect of the Level of Goat Liver Addition to Goat Minced Meat on the Near-Infrared Spectra, Colour, and Shelf Life of Samples by Louwrens Christiaan Hoffman, Wencong Wu, Shuxin Zhang, Michel Beya, Daniel Cozzolino

“…The standard error in cross-validation (SECV) and the coefficient of determination in cross-validation (R²_cv) were 0.10 (SECV: 3.3), 0.63 (SECV: 1.5), and 0.60 (SECV: 0.90) for L*, a*, and b*, respectively. …”
Get full text