Deep learning method for cucumber disease detection in complex environments for new agricultural productivity by Jun Liu, Xuewei Wang, Qian Chen, Peng Yan, Xin Liu

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A New Customized Measurement System for a Non-Contact, Enhanced Thermometric Method by Luca Evangelisti, Edoardo De Cristo, Salvatore Monteleone, Claudia Guattari, Paola Gori, Ivan Pini, Tullio de Rubeis, Dario Ambrosini

“…This study introduces a novel, low-cost, non-contact measurement system for heat flux estimation based on an enhanced thermometric method. The customized system was designed and assembled to implement a non-contact, indirect approach for heat flux assessment. …”
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Development of an Innovative Physical-Geometry-Based Soil Moisture Retrieval Method for CYGNSS Constellations by Xuerui Wu, Shumin Han, Xiaojuan Tian, Xinming Huang, Kuo Cao

“…A novel soil moisture retrieval method is proposed based on a zero-order scattering model. …”
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Statistical learning-driven parameter tuning in injection molding using modified simplex method by Pongchanun Luangpaiboon, Walailak Atthirawong, Anucha Hirunwat, Pasura Aungkulanon

“…Nonlinear interactions and quality inconsistencies are frequently encountered by existing methods. The Statistical Learning-Driven Modified Simplex Method (SLMSM) is a novel hybrid optimization framework that is introduced to resolve this gap. …”
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Variation of the Intermediate Language in Flanders by N. A. Kolomiets

“…The data was collected  and analyzed using the method  linguistic observations, questioning  and comparative analysis. …”
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Ocean Surface Wind Field Retrieval Simultaneously Using SAR Backscatter and Doppler Shift Measurements by Yulei Xu, Kangyu Zhang, Liwei Jing, Biao Zhang, Shengren Fan, He Fang

“…Sea surface wind retrieval methods using synthetic aperture radar (SAR) are generally classified into two categories: the direct inversion method and the variational analysis method (VAM). …”
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Clinical value of Beery visual-motor integration and Beery VMI supplemental tests in Chinese preschoolers: a modified replication cross-sectional study by Xin Tang, Xuan Xu, Cong Wang, Lijuan Ao

“…ObjectivePrevious studies have indicated that visual-motor performance is affected by cultural variations. This study aimed to examine differences between the proportion of children with poor visual-motor integration (VMI) performance in published population norms with that in the sample population of this study and to assess the predictive value of the visual perception(VP) and motor coordination(MC) scores in explaining VMI variance in Chinese preschoolers.MethodsA random sample of 421 children ageds 3.0–6.11 years (mean age, 4.51 ± 0.93) participated in this study. …”
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Stabilized Discretization in Spline Element Method for Solution of Two-Dimensional Navier-Stokes Problems by Neng Wan, Ke Du, Tao Chen, Sentang Zhang, Gongnan Xie

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Remaining Useful Life Prediction Method for Stochastic Degrading Devices Considering Predictive Maintenance by Qing Dong, Hong Pei, Changhua Hu, Jianfei Zheng, Dangbo Du

“…Secondly, a method is proposed for model parameter identification and updating that incorporates the individual variation among devices, integrating maximum likelihood estimation and Bayesian inference. …”
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Linear Gauss Pseudospectral Method Using Neighboring Extremal for Nonlinear Optimal Control Problems by Tianyou Zhang, Wanchun Chen, Liang Yang

“…This article proposes a method to solve nonlinear optimal control problems with arbitrary performance indices and terminal constraints, which is based on the neighboring extremal method and Gauss pseudospectral collocation. …”
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An Efficient Quality-Related Fault Diagnosis Method for Real-Time Multimode Industrial Process by Kaixiang Peng, Bingzheng Wang, Jie Dong

“…Focusing on quality-related complex industrial process performance monitoring, a novel multimode process monitoring method is proposed in this paper. Firstly, principal component space clustering is implemented under the guidance of quality variables. …”
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Online evaluation method for MMC submodule capacitor aging based on CapAgingNet by Xinlan Deng, Youhan Deng, Liang Qin, Weiwei Yao, Min He, Kaipei Liu

“…Subsequently, the CapAgingNet model is introduced, incorporating key technical modules to enhance performance: the Deep Stem module, which extracts larger receptive fields through multiple convolution layers and mitigates the impact of data sparsity in capacitor aging on feature extraction; the efficient channel attention (ECA) module, utilizing one-dimensional convolution for dynamic weighting to adjust the importance of each channel, thereby enhancing the ability of the model to process high-dimensional features in capacitor aging data; and the multiscale feature fusion (MSF) module, which integrates capacitor aging information across different scales by combining fine-grained and coarse-grained features, thus improving the capacity of the model to capture high-frequency variation characteristics. …”
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Modern methods and means of physical culture in the rehabilitation of various population groups: a systematic review by Marina Jagiello, Marc Lochbaum

“…The importance of pedagogical, psychological, and social aspects in the training of rehabilitation specialists was also highlighted. Conclusions. Modern methods and means of physical culture in rehabilitation prove their effectiveness in improving physical and mental health, promoting social integration, and enhancing the quality of life for various population groups. …”
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Hierarchical Control of Energy Router Based on MPC and Real-Time Optimization Methods for Distribution Network by Jianfeng Yang, Shun Zhou, Jiawei Wang

“…Traditional centralized control methods struggle with slow response times and poor adaptability, particularly under dynamic and complex conditions such as renewable energy fluctuations and load variations. …”
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A review of smart structures and adaptation of 3d printing methods for future fashion applications by Viktorija Diak

“…However, the creation of such novel materials/structures and their integration with traditional fibres present numerous challenges, urging the industry to explore new manufacturing methods. …”
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Exploration of the Validity of the Moral Competency Inventory Instrument: Analysis of Validation Methods from Various Studies by Fikri Nurcahya, Riyadi Riyadi, Achmad Ridwan

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Precise Geoid Determination in the Eastern Swiss Alps Using Geodetic Astronomy and GNSS/Leveling Methods by Müge Albayrak, Urs Marti, Daniel Willi, Sébastien Guillaume, Ryan A. Hardy

“…Our study demonstrates that absolute geoid heights derived from GNSS/leveling data achieve centimeter-level accuracy, underscoring the precision of this method. Comparisons with CHGeo2004 predictions reveal a strong correlation, closely aligning with both GNSS/leveling and DoV-derived results. …”
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Clinical and cost-effectiveness of paramedics working in general practice: a mixed-methods realist evaluation by Matthew Booker, Sarah Voss, Nicky Harris, William Hollingworth, Nouf Jeynes, Hazel Taylor, Kirsty Garfield, Helen Baxter, Jonathan Benger, Andy Gibson, Trudy Goodenough, Justin Jagosh, Kim Kirby, Cathy Liddiard, Alyesha Proctor, Sarah Purdy, Behnaz Schofield, Hannah Stott, Grace Scrimgeour, Nicola Walsh

“…We used ‘realist evaluation’ methods to look at different models of paramedics in general practice (we call this ‘paramedic working in general practice’). …”
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A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning by Seisuke Kano

“…Recent innovations have introduced data-driven approaches that predict system behavior without the need for detailed models. By integrating advanced monitoring technologies and machine learning, these methods enable real-time predictions within controllable parameters using live data. …”
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Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods by Shakti P. Padhy, Soumya R. Mishra, Li Ping Tan, Karl P. Davidson, Xuesong Xu, Varun Chaudhary, R.V. Ramanujan

“…This work further explains how structural variations across synthesis methods impact property behavior, validating the robustness of ML-predicted compositions and highlighting a pathway for integrating processing conditions into alloy development.…”
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