3D-printed skull model for enhancing training in external ventricular drainage within medical education by Katharina Scheidt, Fabian Kropla, Dirk Winkler, Robert Möbius, Martin Vychopen, Johannes Wach, Erdem Güresir, Ronny Grunert

“…Future studies are planned to assess the system’s accuracy and perform comparative analyses. Methods The data required for analysis were extracted from medical images. …”
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A prospective study on metabolic risk factors and gallbladder cancer in the metabolic syndrome and cancer (Me-Can) collaborative study. by Wegene Borena, Michael Edlinger, Tone Bjørge, Christel Häggström, Björn Lindkvist, Gabriele Nagel, Anders Engeland, Tanja Stocks, Susanne Strohmaier, Jonas Manjer, Randi Selmer, Steinar Tretli, Hans Concin, Goran Hallmans, Håkan Jonsson, Pär Stattin, Hanno Ulmer

“…The risk estimates were corrected for random error in measurements.<h4>Results</h4>During an average follow-up of 12.0 years (SD = 7.8), 184 primary gallbladder cancers were diagnosed. …”
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Adaptive Gap-Filling of Multispectral Images at Coarse and Fine Spatial Resolution by Seyedkarim Afsharipour, Li Jia, Massimo Menenti, Hamid Reza Ghafarian Malamiri

“…For fine-resolution images, random gaps were reconstructed most effectively, with RMSE values for the blue band between 0.005 and 0.01, and NIR errors ranging from 0.01 to 0.05. SSIM values ranged from 0.90 to 0.83 (blue) and 0.86 to 0.71 (NIR), confirming the method reliability for time-series analysis and data fusion applications.…”
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Quantitative prediction of disinfectant tolerance in Listeria monocytogenes using whole genome sequencing and machine learning by Alexander Gmeiner, Mirena Ivanova, Patrick Murigu Kamau Njage, Lisbeth Truelstrup Hansen, Leonid Chindelevitch, Pimlapas Leekitcharoenphon

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Psychometric properties of the Iranian version of the attitudes to disability scale in people with physical disabilities by Mahnaz Pouresmaeil, Tahereh Dehdari, Isa Mohammadi Zeidi, Neda Mohammadi, Seyed Habib A Rahmati

“…Confirmatory Factor Analysis (CFA) was conducted to verify the factor structure of the ADS, based on data from 172 individuals with physical disabilities, aged 22 to 60. …”
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Deciphering and predicting algal bloom variability using size-fractionated organic matter and machine learning in a complex watershed by Yun Kyung Lee, Haeseong Oh, Bo-Mi Lee, Jin Hur

“…Among them, XGBoost yielded the highest performance (R2 = 0.928; Root Mean Square Error (RMSE) = 0.033), especially when the full input set, including DOM properties, was used. …”
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Development of an Integrated Human-Computer Interactive Model for Improved User Experience in Gesture-Controlled Smart Mirrors by Ayorinde Joseph Olanipekun, Olubusola Olufunke Nuga, Peter Olamide Onabanjo, Emmanuel Uchechukwu Ogbodo, Samuel Blessing Owusu

“…Key tests conducted include usability test to assess user interaction, functionality test to validate gesture control and mirror operations, data analysis for performance metrics, and visibility test for optimal display quality. …”
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The medical student stressor questionnaire (MSSQ): validation and reliability in Turkish students by Funda Seher Özalp Ateş, Elif Akçay, Derya Gökmen, Süheyla Rahman

“…Methods All students studying at the (Manisa Celal Bayar University) School of Medicine were invited to the study. The data was collected between January-March 2024. The research was completed with 412 students. …”
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Advanced Deep Learning Approaches for Forecasting High-Resolution Fire Weather Index (FWI) over CONUS: Integration of GNN-LSTM, GNN-TCNN, and GNN-DeepAR by Shihab Ahmad Shahriar, Yunsoo Choi, Rashik Islam

“…The models were evaluated using the Index of Agreement (IOA) and root mean squared error (RMSE). The results revealed that the Southwest and West regions of CONUS consistently exhibited the highest mean FWI values, with the summer months demonstrating the greatest variability across all climatic zones. …”
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FACTORS OF CARIES DEVELOPMENT AND WAYS TO REDUCE THEI IMPACT IN SCHOOL CHILDREN by L.F. Kaskova, T.B. Mandzyuk

“…The correlation coefficient was considered significant when the error probability was p<0.05. Results and discussion. …”
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Simplifying the calibration of ecological models by using the parameter estimation tool (PEST): The Curonian Lagoon case by Burak Kaynaroglu, Mindaugas Zilius, Rasa Idzelytė, Artūras Razinkovas-Baziukas, Georg Umgiesser

“…We applied the method of Morris for global sensitivity analysis to determine the key parameters influencing model behavior. …”
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Process variables in mixture experimental design applied to wood plastic composites by Javier Cruz-Salgado, Sergio Alonso-Romero, Edgar Augusto Ruelas-Santoyo, José Alfredo Jiménez-García, Israel Miguel-Andrés, Roxana Zaricell Bautista-López

“…The model demonstrates strong predictive accuracy, with R-squared and adjusted R-squared values of 92% and 86%, respectively, and a low root mean square error (S) of 0.2818. The PRESS value of 3.38 confirms the model’s ability to accurately predict new data. …”
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Parameter Optimization Design and Experimental Validation of a Header for Electric Rice Reaper Binders Employed in Hilly Regions by Jinbo Ren, Difa Bao, Zhi Liang, Chongsheng Yan, Junbo Wu, Xinhui Wu, Shuhe Zheng

“…The variance in the experimental data was analyzed with Design-Expert 13.0, and response surface methodology (RSM) was applied to elucidate the parameter interaction effects. …”
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The scale of attitudes toward workplace sexual harassment disclosure: development and validation among Iranian nurses by Samaneh Behzadi Fard, Mohammad Reza Baneshi, Farideh Razban, Mahlagha Dehghan

“…The initial qualitative phase explored nurses’ attitudes toward WSH disclosure using conventional content analysis. This qualitative data and existing literature were examined to develop the scale. …”
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Construction of mathematical models to predict M25 and M10 coke quality indices by E. N. Stepanov, A. N. Smirnov, D. I. Alekseev

“…In the models developed within the framework of this study, only petrographic charge factors are used. The aggregate data on technical and plastometric analysis are not taken into account. …”
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Development of a health support competence scale for supervisors of female migrant workers in Japan by Aya Shinohara, Noriko Kuwano, Yoshimitsu Shinagawa, Ryoko Kawasaki, Mayumi Ohnishi

“…Confirmatory factor analysis suggested a model that fit the data well, with a goodness of fit index = 0.903, adjusted goodness of fit index = 0.881, comparative fit index of 0.909, and root mean square error of approximation = 0.068. …”
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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

“…This study provides a scientific basis for high throughput and rapid prediction of unknown pollutants, data mining, nontargeted screening, etc.…”
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Resource Characteristics of Common Reed (<i>Phragmites australis</i>) in the Syr Darya Delta, Kazakhstan, by Means of Remote Sensing and Random Forest by Azim Baibagyssov, Anja Magiera, Niels Thevs, Rainer Waldhardt

“…However, accurate and up-to-date figures on available reed biomass remain poorly documented due to data inadequacies in national statistics and challenges in measuring and monitoring it over large and remote areas. …”
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Three-dimensional visualization of maize roots based on magnetic resonance imaging by Fang Xiaorong, Wang Nanfei, Zhang Jianfeng, Gong Xiangyang, Liu Fei, He Yong

“…Similarly, actual geometric parameters of the samples were measured manually by a vernier caliper and water displacement method.By comparing the reconstruction model of root architecture with the physical object, it was found that the obtained models were well consistent with real samples, showing very good agreement in shape, volume and other morphological parameters, and the errors among them were less than 3%.In sum, the presented methodology can avoid making great efforts in experimental measurements and consequently development of the root architecture models, and decrease the error generated from manual data extraction. …”
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Hardware Implementation of Next Generation Reservoir Computing with RRAM‐Based Hybrid Digital‐Analog System by Danian Dong, Woyu Zhang, Yuanlu Xie, Jinshan Yue, Kuan Ren, Hongjian Huang, Xu Zheng, Wen Xuan Sun, Jin Ru Lai, Shaoyang Fan, Hongzhou Wang, Zhaoan Yu, Zhihong Yao, Xiaoxin Xu, Dashan Shang, Ming Liu

“…Reservoir computing (RC) possesses a simple architecture and high energy efficiency for time‐series data analysis through machine learning algorithms. …”
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