Hybrid Model for 6G Network Traffic Prediction and Wireless Resource Optimization by Mohammed Anis Oukebdane, A. F. M. Shahen Shah, Md Baharul Islam, John Ekoru, Milka Madahana

“…Our model obtains a Root Mean Squared Error (RMSE) of 0.0049, an Mean Absolute Error (MAE) of 0.0034, a mean absolute percentage error (MAPE) of 0.46%, and a coefficient of determination <inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula> of 0.9970 according to experimental findings on a whole dataset. …”
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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

“…Aims: The transepicondylar axis is a well-established reference for the determination of femoral component rotation in total knee arthroplasty (TKA). …”
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Role of Computed Tomography Scan in Preoperative Planning for Tillaux-Chaput Fractures in Adults by Jafet Massri-Pugin MD, Gabriel Matamoros MD, Sergio Morales MD, MSc, Pablo Mery MD, María Jesús Lira MSc, Jorge Filippi MD, MBA

“…This study aimed to evaluate the role of the CT scan in the preoperative planning for TCF in adults. Methods: A retrospective review of ankle fractures evaluated in the emergency and outpatient department between 2013-2023 was performed in a university hospital. …”
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Expression and prognostic significance of MLH1 and GPRC5C in resectable hepatocellular carcinoma by Jun Lu, Lei Li, Qing Chen, Bingqi Li, Siqian Ren, Meng Yuan, Meng Meng, Jian Lei, Yuntao Bing, Hangyan Wang, Zhaolai Ma, Dianrong Xiu, Chunhui Yuan

“…However, their expression and prognostic significance in hepatocellular carcinoma (HCC) has not been elucidated, especially for GPRC5C. Methods We detected MLH1 and GPRC5C expression using the tissue microarray-based immunohistochemical staining in tumor and matched adjacent non-tumor liver (ANL) specimens from 230 patients who underwent radical resection for HCC. …”
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Evaluation of the parasympathetic tone activity (PTA) for posttraumatic pain assessment in awake dogs before orthopaedic surgery - A prospective non-randomised clinical study by Eva Martha Billau, Max Bernhard Hubertus Weniger, Kathrin Büttner, Sabine Tacke, Eva Saskia Müller

“…Animals A study group with 18 posttraumatic dogs before surgery and a control group with nine healthy dogs. Methods Two different examiners evaluated the pain using two multidimensional pain scales (the Canine Acute Pain Scale of the Colorado State University (CSU-CAPS) and the Modified Glasgow Pain Scale (MGPS)) before the administration of methadone. …”
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Features of blood parameters and adaptational status of Balb/c and C57Bl/6 mice lines in the absence of special influences by G. V. Zhukova, E. M. Frantsiyants, A. I. Shikhlyarova, I. V. Kaplieva, L. K. Trepitaki, P. S. Kachesova, A. V. Galina, N. D. Ushakova, E. V. Shalashnaya, O. G. Ishonina

“…A comparative analysis of blood parameters and some characteristics of the adaptation status of intact Balb/c and C57Bl/6 mice of both sexes.Materials and methods. We investigated intact mice of both sexes belonging to the C57Bl/6 (n = 18) and Balb/c (n = 20) lines. …”
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Dental anxiety among students in Indonesia: the role of demographic, behavioral, social, and spiritual support by Herry Novrinda, Kamila Pangestuti, Anton Rahardjo, Han Dong-Hun, Iwany Amalliah Badruddin, Armasastra Bahar

“…These results were supported by the odds ratios of the various variables, which ranged from 0.85 to 2.79. The coefficient of determination of the proposed model’s (R2) value was 0.15. …”
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Heart-rate and rating-of-perceived-exertion running-speed thresholds show acceptable test-retest reliability by Logan Sallas, Brandi Antonio, David H. Fukuda, Jeffrey R. Stout

“…Purpose This study examined the test-retest reliability of heart-rate- (HR) and rating-of-perceived-exertion- (RPE) derived running-speed thresholds (RS_thr) in trained men.Methods Fourteen healthy, aerobically trained men (20.6 ± 1.9 y; VO₂peak 50.5 ± 7.8 mL·kg−1 ·min−1) performed a graded-exercise test (GXT) to determine VO₂peak and maximum running speed (MRS). …”
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Mobile-phone-based e-diary derived patient reported outcomes: Association with clinical disease activity, psychological status and quality of life of patients with multiple scleros... by Daniel Golan, Smadar Sagiv, Lea Glass-Marmor, Ariel Miller

“…Secondary objectives were to evaluate the construct and predictive validity of e-diary derived PROs and to explore the various factors that were associated with changes in PROs over time.<h4>Materials and methods</h4>In this observational cohort study patients downloaded an MS tailored e-diary into their personal smartphones. …”
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Carotid intima thickness and elasticity combined with MHR predicting the severity of coronary artery stenosis in patients with premature coronary artery disease by Chenjing Xu, Ming Wu, Xijun Zhang, Kaikai Shen, Yanyan Guo, Jianjun Yuan, Haohui Zhu

“…Methods This prospective study included 85 PCAD patients who underwent coronary angiography. …”
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A study on the variability and correlation of ocular biological measurement parameters in adult myopic patients by Fangxing Zhou, Nan Chen, Hui Qian, Di Gong, Kunke Li

“…Linear regression analysis revealed that the coefficient of determination (R2) for AL and SE was 0.699, and for AL/CRC and SE, it was 0.861. …”
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Epidemiology, socioeconomic correlates, and trend projections of multiple myeloma in Asia over 2020–2040 by Seyed Ehsan Mousavi, Mehran Ilaghi, Sarah Aflatoonian, Seyed Aria Nejadghaderi

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A novel integrated approach to predict the sodium absorption ratio (SAR) of groundwater sustainability using deep learning models and SHAP approach by Kanak N. Moharir, Chaitanya Baliram Pande, Rabin Chakrabortty, Malay Pramanik, Balamurugan Paneerselvam, Okan Mert Katipoğlu, Subodh Chandra Pal, Miklas Scholz, Krishna Kumar Yadav, Lamjed Mansour, Mohamed Elsahabi

“…The prediction results are evaluated with the use of different performance metrics, mean absolute error (MAE), mean absolute relative error (MARE), Nash Sutcliffe efficiency (NSE), root mean squared error (RMSE), and coefficient of determination (R 2). The study identified that the boosted tree model is more appropriate for the SAR prediction value, this model with high accuracy compared with other models. …”
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Spatiotemporal effects of urban micro-scale built environment on cardiovascular diseases by Jinlong Liang, Shuguang Deng, Heping Yang, Shuyan Zhu, Rui Zheng

“…This study focuses on the central area of Nanning, China, as the case study area, employing methods such as global spatial autocorrelation analysis, emerging spatiotemporal hotspot analysis, and spatiotemporal geographically weighted regression (GTWR) analysis to comprehensively examine the spatiotemporal associations between CVD and built environment elements. …”
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P-100 CORRELATION OF TWO TRANSIENT ELASTOGRAPHY EQUIPMENT FOR ESTIMATION OF LIVER STEATOSIS AND LIVER FIBROSIS by Raul Alfonso Gomez Mendoza, Eva Juarez Hernandez, Montserrat Berrospe Alfaro, Regina Lopez De Cardenas Rojo, Martha Helena Ramos Ostos, Graciela Castro Narro, Ivan Lopez Mendez

“…The correlation of measurements was evaluated with the Pearson correlation coefficient; meanwhile, a Student's t-test was performed to determine differences in dB/m and kPa means. …”
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Clinical phenotype of ARDS based on K-means cluster analysis: A study from the eICU database by Wei Zhang, Linlin Wu, Shucheng Zhang

“…Using the Calinski-Harabasz criterion, Gap Statistic, and Silhouette Coefficient, we determine the optimal clustering number k value. …”
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Improved estimation of stomatal conductance by combining high-throughput plant phenotyping data and weather variables through machine learning by Junxiao Zhang, Kantilata Thapa, Geng (Frank) Bai, Yufeng Ge

“…Plot-level canopy temperature, soil temperature, and seven vegetation indices were acquired using a thermal infrared camera, a multispectral camera, and a visible near-infrared spectrometer integrated on the HTP platform. Three supervised ML methods (Partial Least Squares Regression (PLSR), Random Forest Regression (RFR), and Support Vector Regression (SVR)) were employed to train the estimation models for gs, and model performance was evaluated by Coefficient of Determination (R2) and Root Mean Squared Error (RMSE). …”
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Cross-sectional and longitudinal validation of the Slovene version of the health-related quality of life questionnaire in patients with Hymenoptera venom allergy (HRQLH-S) by T. Močnik, J. Šelb, M. Peršolja, M. Košnik

“…Methods The “Vespid Allergy Quality of Life Questionnaire” (VQLQ), developed by Oude Elberink et al., has become a well-established diagnostic instrument. …”
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Machine learning model for reproducing subjective sensations and alleviating sound-induced stress in individuals with developmental disorders by Itsuki Ichikawa, Yukie Nagai, Yukie Nagai, Yasuo Kuniyoshi, Yasuo Kuniyoshi, Yasuo Kuniyoshi, Makoto Wada

“…(b) The prediction models successfully estimated stress ratings, achieving a correlation coefficient of approximately 0.4 to 0.7 with the actual values. …”
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Comparison of the performances of six empirical mass transfer-based reference evapotranspiration estimation models in semi-arid conditions by Selçuk Usta

“…The statistical approaches of the mean absolute error (MAE), mean absolute percentage error (MAPE), root mean square error (RMSE), Nash–Sutcliffe Efficiency (NSE), and determination coefficient (R2) were used as comparison criterion. …”
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