Automated Edge Detection for Cultural Heritage Conservation: Comparative Evaluation of Classical and Deep Learning Methods on Artworks Affected by Natural Disaster Damage by Laya Targa, Carmen Cano, Álvaro Solbes-García, Sergio Casas, Ester Alba, Cristina Portalés

“…The results show that while traditional methods often yield higher precision and recall scores, they are also sensitive to texture and contrast variations. …”
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A combined model method was used to identify the main influencing factors of soil heavy metal pollution sources in Qian river, China by Yuru Li, Zihua Wang, Leiyu Liu, Yani Geng, Jun Zhang

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Performance Evaluation of Real-Time Image-Based Heat Release Rate Prediction Model Using Deep Learning and Image Processing Methods by Joohyung Roh, Sehong Min, Minsuk Kong

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A novel on-chip IM2 calibration method via LO pulse-width modulation for enhanced RF front-end linearity by Hussam AlShammary, Ali Muqaibel

“…The calibration technique exhibits robust performance across temperature variations and can be seamlessly integrated into standard LO driver architectures. …”
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Mixed methods study protocol to examine perceptions of family medicine among long-term patients of a family medicine clinic in Japan by Tesshu Kusaba, Kotaro Sato, Ryoko Michinobu

“…The analysis will adopt a two-phase explanatory sequential mixed methods design. During phase I, quantitative data from participants’ medical records will be collected and reviewed, and patients’ perceptions of FM will be assessed through a questionnaire. …”
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Unveiling the impact of traditional sourdough propagation methods on the microbiological, biochemical, sensory, and technological properties of sourdough and bread: a comprehensive... by Erica Pontonio, Giuseppe Perri, Maria Calasso, Giuseppe Celano, Michela Verni, Carlo Giuseppe Rizzello

“…Nevertheless, to date, no study has ever evaluated the biochemical and microbial dynamics of sourdoughs propagated using the different traditional methods integrated into procedural back-slopping practices worldwide. …”
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Establishing the Interaction between Training Methods and Power Levels in Wrestling: A 2x3 Factorial Design of Hip Toss Skills by Juhanis Juhanis, Benny Badaru, Andi Anshari Bausad

“…The results indicated a significant main effect of the training method factor (A) on hip toss skills (F = 5.413, p = 0.007), demonstrating that variations in training methods led to marked differences in skill outcomes. …”
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Estado nutricional de mangueiras determinado pelos métodos DRIS e CND Nutritional status of mango determined by DRIS and CND methods by Lucas S. Politi, Rilner A. Flores, Juliana A. S. da Silva, Paulo G. S. Wadt, Paulo A. da C. Pinto, Renato de M. Prado

“…<br>Different procedures for the integrated method of diagnosis and recommendation may influence the accuracy of foliar diagnosis of mango. …”
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Hospital discharge planning in cardiac care: study protocol for a mixed-methods study on the implementation, influencing factors and quality of care in Germany by Udo Schneider, Gabriele Meyer, Dirk Horenkamp-Sonntag, Vera Winter, Kai Svane Blume, Steffen Fleischer, Raphaele Bartels, Lena Imhof, Karl Blum, Susan Gottschalk, Robin Heber, Bjoern Andrew Remppis, Jonas Schreyoegg

“…The ‘Ready to Discharge’ (R2D) project investigates the implementation status, influencing factors and outcomes of DP in cardiac units of German hospitals. By integrating quantitative and qualitative data, we aim to identify best practices and provide actionable recommendations for improving DP processes.Methods and analysis A mixed-methods study design will be used. …”
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Can implementation failure or intervention failure explain the result of the 3D multimorbidity trial in general practice: mixed-methods process evaluation by Ali R G Shaw, Bruce Guthrie, Chris Salisbury, Cindy Mann, Lesley Wye, Mei-See Man, Katherine Chaplin

“…Interviews, focus groups and review observations were analysed thematically and integrated with quantitative data about implementation. …”
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An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer by Subrata Das, Vatsal Patel, Shouvik Chakravarty, Arnab Ghosh, Anirban Mukhopadhyay, Nidhan K. Biswas

“…Despite the presence of numerous bioinformatic algorithms for estimating mutation pathogenicity, there is significant variation in their assessments. This inconsistency is evident even for well-established cancer driver mutations. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…Hybrid forecasting models were then constructed by integrating VMD with both statistical (autoregressive integrated moving average [ARIMA]) and deep learning (gated recurrent unit [GRU], long short-term memory [LSTM], and Transformer) architectures. …”
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Stochastic Finite Element Analysis for Static Bending Beams with a Two-Dimensional Random Field of Material Properties by Dang Diem Nguyen, Sy Dan Dao, Xuan Tung Nguyen, Van Tan Giap

“…A 2D stationary stochastic field is employed to model the elastic modulus, capturing the material heterogeneity along both the longitudinal and vertical directions of the beam. The weighted integral method is applied to represent the random field as random variables and to compute the element stiffness matrices, while a first-order perturbation technique is utilized to estimate the statistical moments of the nodal displacement vector, including the mean and covariance matrix. …”
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Numerical Analysis of Geometric Influences in Tetrapolar Electrical Impedance Spectroscopy Using Monte Carlo Simulations by Lovasz Zoltan, Atmaca Ömer, Veil Carina, Herkommer Alois, Sawodny Oliver

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Fatigue Life Analysis of Cylindrical Roller Bearings Considering Elastohydrodynamic Lubrications by Ke Zhang, Zhitao Huang, Qingsong Li, Ruiyu Zhang

“…The isothermal line contact elastohydrodynamic lubrication equations are solved using the multigrid method, and the contact load distribution is determined through nonlinear iterative techniques to calculate bearing fatigue life. …”
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Semi-analytical solutions for the scattering of plane SH Waves by a Finite Crack by Fuqing Chu, Hui Qi, Shaoqiang Liu, Jing Guo

“…In this study, we employ the wave function expansion method, integrated with the region-matching technique and the employment of half-integer order Bessel functions, to derive a semi-analytical solution for the scattering of plane SH waves by a finite crack. …”
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Paleogeomorphology reconstruction and its control on sand dispersal systems: a case study from the Pinghu formation in the Hangzhou slope belt, Xihu Sag, East China sea shelf basin by Lanzhi Qin, Jie Xu, Jie Xu, Jie Xu, Donghao Xu, Hao Liu, Hao Liu, Hao Liu, Kun Cai

“…Micro-geomorphic variations significantly affect sedimentary differentiation across zones. …”
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Relationship between extreme daily rainfall and temperature over the Brazilian Amazon by Rosane Barbosa Lopes CAVALCANTE, Paulo Rógenes Monteiro PONTES, Renata Gonçalves TEDESCHI, Edivaldo Afonso de Oliveira SERRÃO, Everaldo Barreiros de SOUZA

“…While previous studies have explored this relationship, there is a limited understanding of regional variations and how methodological choices affect the observed patterns, particularly in the Brazilian Legal Amazon states. …”
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System Dynamics Simulation of Intervention Strategies for Unsafe Behaviors Among Prefabricated Building Construction Workers by Xiaohong Chen, Yujie Gao, Ronghong Chen, Bolong Huang, Lingyan Ma

“…A combined weighting method, integrating the entropy weight method and the coefficient of variation method, was employed to determine the weight of each factor. …”
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Preliminary Study on Near-Surface Air Temperature Lapse Rate Estimation and Its Spatiotemporal Distribution Characteristics in Beijing–Tianjin–Hebei Mountainous Region by Qichen Lv, Mingming Sui, Shanyou Zhu, Guixin Zhang, Yuxin Li

“…Obtaining data with high spatiotemporal resolution in complex terrains using existing methods poses challenges. This study introduces a hierarchical method for estimating SATLR at high spatiotemporal resolutions based on Fengyun-4A (FY-4A) Advanced Geostationary Radiation Imager (AGRI) land surface temperature (LST) data and machine learning techniques. …”
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