On the Evaluation of the Hyperthermic Efficiency of Magnetic Scaffolds by Matteo B. Lodi, Antonios Makridis, Konstantina Kazeli, Theodoros Samaras, Makis Angelakeris, Giuseppe Mazzarella, Alessandro Fanti

“…<italic>Goal:</italic> Deep-seated tumors (DST) can be treated using thermoseeds exposed to a radiofrequency magnetic field for performing local interstitial hyperthermia treatment (HT). Several research efforts were oriented to the manufacturing of novel biocompatible magnetic nanostructured thermo-seeds, called magnetic scaffolds (MagS). …”
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Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies by Kyle A. Campbell, Justin A. Colacino, John Dou, Dana C. Dolinoy, Sung Kyun Park, Rita Loch-Caruso, Vasantha Padmanabhan, Kelly M. Bakulski

“…To distinguish DNA methylation (DNAm) from cell proportion changes in whole placental villous tissue research, we developed a robust cell type-specific DNAm reference to estimate cell composition. …”
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Thermo-hydraulic performance of concentric tube heat exchangers with turbulent flow: Predictive correlations and iterative methods for pumping power and heat transfer by Samer Ali, Chadi Nohra, Jalal Faraj, Talib Dbouk, Mahmoud Khaled

“…This research addresses the problem of predicting the thermo-hydraulic performance of concentric tube heat exchangers (CTHE) under turbulent flow conditions, a critical aspect in energy-efficient industrial systems such as HVAC, power generation, and chemical processing. …”
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Study for Predicting Land Surface Temperature (LST) Using Landsat Data: A Comparison of Four Algorithms by Elhadi K. Mustafa, Yungang Co, Guoxiang Liu, Mosbeh R. Kaloop, Ashraf A. Beshr, Fawzi Zarzoura, Mohammed Sadek

“…The topographic change is considered in this study to accurately predict LST; furthermore, Landsat 4/5 TM and Landsat 8OLI_TIRS images for four years (1995, 2004, 2010, and 2015) are used to study the LST changes of the research area. The four models are assessed using statistical analysis, coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE) in the training and testing stages, and MARS is used to estimate the important variables that should be considered in the design models. …”
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All-Optical Format Conversion for Rectangular 8QAM Signals Based on Phase-Sensitive Amplification and Nonlinear Mach-Zehnder Interferometer by Qiankun Li, Xiongwei Yang, Huashun Wen, Yameng Li, Qi Xu, Jiali Yang, Pengfei Xu, Huajun Yang

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Leveraging Machine Learning Regression Algorithms to Predict Mechanical Properties of Evaporitic Rocks From Their Physical Attributes by Ayham Zaitouny, Hasan Arman, Anusuya Krishnan, Alaa Ahmed, Ahmed Gad

“…This study advances previous research by simultaneously predicting multiple mechanical properties, offering an efficient alternative to expensive laboratory tests. …”
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Improving agricultural commodity allocation and market regulation: a novel hybrid model based on dual decomposition and enhanced BiLSTM for price prediction by Lihua Zhang, Fushun Wang, Fushun Wang, Kejian Wang, Kejian Wang, Zhenxue He, Zhenxue He, Chen Chen, Chen Chen, Jiahao Liu, Jiahao Liu, Chao Wang, Chao Wang, Zhe Wang

“…The experimental results indicate that the proposed SV-PSO-BiLSTM hybrid model achieves average values of 0.2241 for root mean square error (RMSE), 0.1665 for mean absolute error (MAE), 0.0207 for mean absolute percentage error (MAPE), and 0.9851 for the coefficient of determination (R2). …”
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A Novel Prediction Model for the Sales Cycle of Second-Hand Houses Based on the Hybrid Kernel Extreme Learning Machine Optimized Using the Improved Crested Porcupine Optimizer by Bo Yu, Deng Yan, Han Wu, Junwu Wang, Siyu Chen

“…The relevant research results of this paper are helpful to predict the second-hand housing sales cycle more quickly and accurately.…”
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Network Automation pada Beberapa Perangkat Router Menggunakan Pemrograman Python by Setiya Nugroho, Bambang Pujiarto

“…The purpose of this research is to create a web-based dashboard that can control multiple routers through one interface. …”
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A physics and data dual-driven method for real-time fracturing pressure prediction by Xiaodong HU, Junyi LIU, Tianyu WANG, Fujian ZHOU, Xutao LU, Pukang YI, Chao CHEN

“…Results showed that compared to pure LSTM model, the wavelet fusion model of IPC and LSTM reduced the root mean square error (RMSE) and mean absolute error (MAE) by 37.87% and 15.29%, respectively, in wellhead pressure prediction for the next 60 seconds. …”
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Evaluating machine learning models comprehensively for predicting maximum power from photovoltaic systems by Samir A. Hamad, Mohamed A. Ghalib, Amr Munshi, Majid Alotaibi, Mostafa A. Ebied

“…Model performance was evaluated using metrics such as Root Mean Square Error (RMSE), Coefficient of Determination (R2), and Mean Absolute Error (MAE). …”
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A new method for determining factors Influencing productivity of deep coalbed methane vertical cluster wells by HUANG Li, XIONG Xianyue, WANG Feng, SUN Xiongwei, ZHANG Yixin, ZHAO Longmei, SHI Shi, ZHANG Wen, ZHAO Haoyang, JI Liang, DENG Lin

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Data driven healthcare insurance system using machine learning and blockchain technologies by Irum Matloob, Shoab Khan, Bushra Bashir, Rukaiya Rukaiya, Javed Ali Khan, Hessa Alfraihi

“…Healthcare recommendations and insurance have recently been one of the most emerging research areas in health informatics. The fraud in health insurance is becoming increasingly common day by day. …”
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THE SUMMER TEMPERATURES FORECAST BY THE METHOD OF SINGULAR-SPECTRAL ANALYSIS IN THE SOUTH OF RUSSIA IN 2019-2023 by A. A. Tashilova, B. A. Ashabokov, L. A. Kesheva, N. V. Teunova

“…The forecast quality was determined by the following criteria: the standard deviation of the forecast series, the maximum deviation of the forecast values from the real ones, the relative forecast error and the results of the f-test conducted for the initial and forecast series for 1998-2018 at 5% error rate. …”
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Navigating cognitive boundaries: the impact of CognifyNet AI-powered educational analytics on student improvement by Mrim M. Alnfiai, Faiz Abdullah Alotaibi, Mona Mohammed Alnahari, Nouf Abdullah Alsudairy, Asma Ibrahim Alharbi, Saad Alzahrani

“…Evaluated through rigorous 5-fold cross-validation on a comprehensive dataset of 1200 anonymized student records and validated across multiple educational platforms, including UCI Student Performance and Open University Learning Analytics datasets, CognifyNet demonstrates superior performance over conventional approaches, achieving 10.5% reduction in mean squared error and 83% reduction in mean absolute error compared to baseline random forest models, with statistical significance confirmed through paired t-tests (p < 0.01). …”
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Impact of implant scan body material and angulation on the trueness and precision of digital implant impressions using four intraoral scanners–an in vitro study by Hisham Soltan, Xiaoxue Mai, Amr S. Ramdan, Mohammed Qasem Saleh, Sarraj. H. Ashour, Weibo Xie

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Epidemiological characteristics and prediction model construction of hand, foot and mouth disease in Quzhou City, China, 2005–2023 by Wenjie Xu, Canjie Zheng, Canya Fu, Canya Fu, Xiaoying Gong, Quanjun Fang, Zhiying Yin

“…Then, root mean square error (RMSE) and mean absolute error (MAE) were used to evaluate the fitting and prediction performances of the model.ResultsFrom 2010 to 2023, Quzhou City reported a total of 66,601 cases of hand, foot, and mouth disease (HFMD), with the annual number of reported cases fluctuating between 2,265 and 7,964. …”
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Unlocking The Potential of Hybrid Models for Prognostic Biomarker Discovery in Oral Cancer Survival Analysis: A Retrospective Cohort Study by Leila Nezamabadi Farahani, Anoshirvan Kazemnejad, Mahlagha Afrasiabi, Leili Tapak

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Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches by Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

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Measurement properties of the Traumatic Brain Injury Quality of Life (TBI-QoL) and Spinal Cord Injury Quality of Life (SCI-QoL) measurement systems: a systematic review by Rebecca Ataman, Rehab Alhasani, Line Auneau-Enjalbert, Adria Quigley, Henry Ukachukwu Michael, Sara Ahmed

“…Conclusion Rehabilitation researchers and clinicians can use SCI-QoL and TBI-QoL to describe and evaluate patients. …”
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