Study of the Engineering Design of a Single-Cylinder High-Pressure Steam Engine with a Corliss Valve Gear by José Ignacio Rojas-Sola, Santiago Sánchez-García

“…However, challenges were encountered during the geometric modeling process due to missing dimensions for certain components and errors in others. To address these issues, dimensional, geometric, and kinematic constraints (degrees of freedom) had to be applied to ensure that the 3D CAD model was coherent and functional, and an interference analysis also had to be conducted. …”
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Determination of Total Flavonoids Contents and Antioxidant Activity of Ginkgo biloba Leaf by Near-Infrared Reflectance Method by Ling-jia Zhao, Wei Liu, Su-hui Xiong, Jie Tang, Zhao-huan Lou, Ming-xia Xie, Bo-hou Xia, Li-mei Lin, Duan-fang Liao

“…During the model establishing, some spectrum pretreatment and outlier diagnosis methods were optimized to establish the final model. The coefficients of determination (R2) for TFC and total antioxidant activity prediction were 0.8863 and 0.8486, respectively; and the root mean square errors of prediction (RMSEP) were 2.203 mg/g and 0.2211 mM/g, respectively. …”
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Effect of a closed-loop medication order executive system on safe medication administration at a tertiary hospital: a quasi-experimental study by Xuwen Yin, Haiyan Song, Jieyu Lu, Jing Yang, Rong Wang, Zheng Lin, Shudi Jiang, Hui Yuan, Xumei Wang, Dongmei Xu, Chunhong Gao, Yuan Zhou, Jiayi Xu, Chen Chen, Chenyu Gu, Qingqing Diao, Fang Li, Zejuan Gu

“…Background: Closed-loop electronic medication management systems are effective measures for preventing medication errors (MEs). However, there is limited evidence supporting this, and few studies have evaluated the long-term effects of these systems on safe medication. …”
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Surface Adjustment Method Based on Fuzzy Theory for Cable Net Structures under Multi-Uncertainties by Tuanjie Li, Li Yan, Zhiyang Shi, Zijie Zeng, Yaqiong Tang

“…A fuzzy force density method is developed for accuracy analysis of the cable net structures under multi-uncertainties, and an optimization model is developed for surface adjustment. …”
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ENSEMBLE RESAMPLING SUPPORT VECTOR MACHINE, MULTINOMIAL REGRESSION TO MULTICLASS IMBALANCED DATA by Laila Qadrini, Hikmah Hikmah, Elviani Tande, Ignasius Presda, Aulia Atika Maghfirah, Nilawati Nilawati, Handayani Handayani

“…Imbalanced data is a commonly encountered issue in classification analysis. This issue gives rise to prediction errors in the classification process, which in turn affects the sensitivity, particularly in the minority class. …”
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NIRS identification of cashmere and wool fibers based on spare representation and improved AdaBoost algorithm by Zhu Yaolin, Li Zheng, Chen Xin, Chen Jinni, Zhang Hongsong

“…It optimizes these weights with many decision tree (DT) classifiers. …”
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Trends in electronic health record metadata use for management purposes by Nuo Xu, Ishwar Badwaik, Gunwoo Lee, Eric W. Ford

“…Hospitals' self‐reported use of EHR metadata is drawn from the AHA‐IT Supplements from 2018 to 2020. An analysis of metadata utilization by EHR vendors is also provided. …”
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Structural modification of supply chains in the imperatives of circular economy by Ivan Kudrenko, Almas Mukhametov, Emin Shahin Aslanov

“…To achieve this, the research employs a range of statistical methods, including Six Sigma, Pareto analysis, Theory of Constraints, and regression analysis, to identify and address weaknesses within the supply chain. …”
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Healthcare professionals’ perceptions of electronic prescription systems in outpatient services: a qualitative study at UNS hospital by Joko Sudarsono, Satibi Satibi, Lutfan Lazuardi, Anna Wahyuni Widayanti

“…The data were analyzed using thematic analysis techniques. Thematic analysis was used to identify the themes that emerged from the interviews. …”
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Conceptual Design of a Low-Cost Class-III Turbofan-Based UCAV Loyal Wingman by Savvas Roussos, Eleftherios Karatzas, Vassilios Kostopoulos, Vaios Lappas

“…The study adopts a “from scratch” design approach, recognizing the limitations of existing data and the potential for scaling errors. This approach involves a meticulous design process that includes the development of precise requirements, weight estimations, and iterative optimization of the aircraft layout to ensure aerodynamic efficiency and operational functionality. …”
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Comparison of chamber beam geometry robustness to mispointing, imbalance and target offset for direct-drive laser fusion facilities by D. Viala, A. Colaïtis, D. Barlow, D. Batani

“…It provides a review of leading target chamber geometries, with a particular emphasis on random errors. Through comprehensive solid-sphere illuminations and analysis, we identify an optimized beam geometry design, highlighting its robustness and performance under realistic experimental conditions. …”
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Deep learning and fuzzy algorithm in improving the effectiveness of college English translation teaching by Biao Kong, Che He

“…The results show that this method improves students’ translation accuracy, fluency and cultural understanding, and reduces common translation errors. The research proves that the application of intelligent technology in translation teaching is effective and provides strong support for the optimization of teaching strategies.…”
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HPLC, GC-MS, XRD profiling, enzyme inhibition and cytotoxicity potential of Phlomis Stewartii extracts using response surface methodology by Mamoon Ur Rasheed, Haroon Rashid, Shifa Iman, Sadaf Oranab, Muhammad Abdul Rahim, Mohamed H. Mahmoud, Roberto Castro-Muñoz, Eliasse Zongo

“…The Box-Behnken design (BBD) was used to optimize the three independent variables comprising of 17 experimental runs, with the experiments randomly arranged to minimize the effects of unexpected variation in the observed dependent variables {extraction yield, total phenolic content (TPC), and total flavonoid content (TFC)} due to systematic errors. …”
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A novel bivariate regression model derived from the clayton copula and the Odd Dagum-G family and its application by Julius Kwaku Adu-Ntim, Akoto Yaw Omari-Sasu, Maxwell Akwasi Boateng, Isaac Adjei Mensah

“…This limitation poses a challenge in fields like biostatistics, finance, agriculture and hydrology where complex dependencies is crucial for reliable inference.The new model adopts a more flexible framework to model the dependencies enhancing precision in multivariate analysis. The models cumulative distribution function (CDF) and probability distribution function (PDF) are derived and the parameters were estimated using the maximum likelihood estimation (MLE) where the likelihood function was optimized using the Broyden-Fletcher-Goldfarb-Shannon (BFGS) algorithm.Simulation is conducted under various scenarios to validate the model’s robustness, exhibiting consistent estimators, reduced bias, and decreasing mean square errors (MSEs) with increasing sample size. …”
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Enhanced wheat yield prediction through integrated climate and satellite data using advanced AI techniques by Muhamad Ashfaq, Imran Khan, Rana Fezan Afzal, Dilawar Shah, Shujaat Ali, Muhammad Tahir

“…This study presents a comparative analysis of AI-based approaches against conventional methods, demonstrating their superiority in three key areas: (1) improved computational efficiency through optimized learning architectures, (2) enhanced spatial generalizability by capturing complex, nonlinear patterns, and (3) greater prediction stability under varying conditions. …”
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Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making by Vadim Tynchenko, Alexander Lomazov, Vadim Lomazov, Dmitry Evsyukov, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Ivan Malashin

“…Future studies will aim to refine scenario adaptation and optimize system response in high-risk project environments.…”
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Bregman divergences for physically informed discrepancy measures for learning and computation in thermomechanics by Andrieux, Stéphane

“…With view on the context of convex thermomechanics, we propose tools based on the concept of Bregman divergence, a notion introduced in the 1960s and used in learning and optimization as well. This study is motivated by the need of “discrepancy measures” between physically constrained fields that are used both in traditional algorithms, analysis methods and data driven modelling or applications as well.We give also a characterization of symmetrical Bregman divergences through their generating functions which can only be quadratic forms. …”
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Research and response strategies on the impact of goaf collapse on overhead transmission lines by Siqing Xu, Xiaokai Meng, Shuai Wang, Zhumao Lu, Wen Shang

“…This article examines the impact of goaf collapse on overhead transmission lines, delving into various aspects such as foundation deformation, tower foundation and simulation calculation errors, tower deformation, and the effects at hanging points. …”
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Energy consumption prediction of PEVs incorporating traffic flow information by Yong Chen, Zeyu Song, Ruoyu Chen

“…The real-world trip test results show that the prediction errors of RMSE and MAPE of the proposed method are respectively reduced by 66.37% and 68.10% compared to the conventional method.…”
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Unraveling the Scale Dependency of SIF-Based Phenology: Amplified Trends and Climate Responses by Xiufeng Chen, Yanbin Yuan, Tao Xiong, Sicong He, Heng Dong

“…We found that SOS/EOS were mainly regulated by soil and air temperature, whereas the scale effect on this analysis’ results was not significant. This study has implications for optimizing the use of data, understanding ecosystem changes, predicting vegetation dynamics under global change, and developing adaptive management strategies.…”
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