On the usage of sorting networks to control greenhouse climatic factors by Blanca C López Ramírez, Giovanni Guzmán, Wadee Alhalabi, Nareli Cruz-Cortés, Miguel Torres-Ruiz, Marco Moreno-Ibarra

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Towards a community-wide effort for benchmarking in subsurface hydrological inversion: benchmarking cases, high-fidelity reference solutions, procedure, and first comparison by T. Xu, S. Xiao, S. Reuschen, N. Wildt, H.-J. Hendricks Franssen, H.-J. Hendricks Franssen, W. Nowak

“…These intercomparisons guarantee broad participation to push forward research efforts of the entire subsurface hydrological inversion community. …”
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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

“…The root model was reconstructed with improved volume rendering algorithm in the environment of Visualization Toolkit 5.4. …”
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Optimizing Fuel Efficiency and Emissions of Marine Diesel Engines When Using Biodiesel Mixtures Under Diverse Load/Temperature Conditions: Predictive Model and Comprehensive Life C... by Kwang-Sik Jo, Kyeong-Ju Kong, Seung-Hun Han

“…While previous studies have examined biodiesel effects on automotive engines, research on marine applications reveals critical gaps: (1) existing studies focus on single-parameter analysis without considering the complex interactions between biodiesel ratio, engine load, and operating conditions; (2) most research lacks comprehensive lifecycle assessment integration with real-time operational data; (3) previous optimization models demonstrate insufficient accuracy (R² < 0.80) for practical marine applications; and (4) no adaptive algorithms exist for dynamic biodiesel ratio adjustment based on operational conditions. …”
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Clinical characteristics and mortality of patients with heart failure in Southern Sweden from 2013 to 2019: a population-based cohort study by Awais Ashfaq, Madlaina Costa-Scharplatz, Björn Agvall, Jason Davidge, Kristina Malene Ødegaard, Mattias Olsson

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Continuous and funnel-gate configurations of a permeable reactive barrier for reclamation of groundwater laden with tetracycline: experimental and simulation approaches by Ayad A.H. Faisal, Layla Abdulkareem Mokif, Waqed H. Hassan, Radhi AlZubaidi, Saeed Al Marri, Khalid Hashim, Mohammad Amir Khan, Osamah J. Al-sareji

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Effects of Social Media Marketing Activities on Perceived Values, Online Brand Engagement, and Brand Loyalty by Ngoc Minh Nguyen, Huyen Thi Nguyen, Thao Anh Cao

“…Partial Least Squares Algorithm, Bootstrapping, PLSpredict/CVPAT, and Multi-Group Analysis methods embedded in Smart-PLS software were used to validate the measurement model and test the research hypotheses. …”
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netDx: interpretable patient classification using integrated patient similarity networks by Shraddha Pai, Shirley Hui, Ruth Isserlin, Muhammad A Shah, Hussam Kaka, Gary D Bader

“…A clinically useful prediction algorithm should be accurate, generalizable, be able to integrate diverse data types, and handle sparse data. …”
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Optimizing a Dynamic Vehicle Routing Problem with Deep Reinforcement Learning: Analyzing State-Space Components by Anna Konovalenko, Lars Magnus Hvattum

“…The combination of all enhancements led to a statistically significant improvement in the results compared with the basic state formulation. <i>Conclusions:</i> This research provides insights into RL modeling for DVRPs, highlighting the importance of state-space design. …”
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Performance evaluation of enhanced deep learning classifiers for person identification and gender classification by Vasu Krishna Suravarapu, Hemprasad Yashwant Patil

“…Further, an adaptive coati optimization algorithm is used to adjust the hyperparameters of the classification models. …”
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The use of rough rules in the selection of topographic objects for generalizing geographical information by Fiedukowicz Anna

“…The conducted research indicates the advantage of the DRST and RST approaches (with the CN2 algorithm) due to the quality of the obtained selection, the greater simplicity of the decision system, and better refined IT tools enabling the use of these systems. …”
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Stability Evaluation of Slope Based on Global Sensitivity Analysis by Zhaoxia Xu, Xiuzhen Wang, Lu Guo, Teng Yu

“…The uncertainty of parameters will have a significant impact on slope stability, where sensitivity analysis is a commonly used method in uncertainty research. However, traditional sensitivity analysis method costs much computation time. …”
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Risk-Aware Vessel Scheduling and Routing Optimization with CVaR and LSTM-MSNet Prediction by Zhichao Cao, Zhiwei Zhu, Weike Lu, Silin Zhang

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Multiobjective Approach to the Transit Network Design Problem with Variable Demand considering Transit Equity by Su Jin Park, Seungmo Kang, Young-Ji Byon, Seung-Young Kho

“…Existing research on the transit network design problem has tended to focus on minimizing the various costs for both transit operators and users. …”
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Electrohydraulic Servo Shaker Control Based on the Single Layer Flexible Structure Load by Tao Wang, Jinchun Song

“…In order to achieve the goal of improving the waveform accuracy of shaking tables, it is necessary to combine the corresponding control algorithm strategy. Hence, in compliance with the working principles and functions of shaking table systems, the reasons for the coupling between flexible structure loads and shaking tables are carefully analyzed in this paper. …”
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Analyzing the efficacy of trimethylolpropane trioleate oil for predicting cutting power and surface roughness in high-speed drilling of Al-6061 through machine learning. by Pramod S Kathmore, Bhanudas D Bachchhav, Duran Kaya, Sachin Salunkhe, Lenka Cepova, Ondřej Mizera, Emad Abouel Nasr

“…Furthermore, a machine learning algorithm was developed to forecast and compare various key aspects of high-speed drilling machinability, including power and surface roughness. …”
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QFASA: A Comprehensive R Package for Diet Estimation via Fatty Acid Signature Analysis by Connie Stewart, Justin Kamerman, Jennifer McNichol, Holly Steeves, Tyler Rideout

“…Recent developments in QFASA include a maximum likelihood framework for diet estimation, statistically valid inference procedures such as confidence intervals for the diet and hypothesis tests for comparing fatty acid signatures and/or diets, a measure of repeatability in the diet estimates, a prey species selection algorithm, as well as novel ways to estimate calibration coefficients, which are used to improve accuracy in the estimates. …”
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Ensemble Learning-Based Alzheimer’s Disease Classification Using Electroencephalogram Signals and Clock Drawing Test Images by Young Jae Huh, Jun-ha Park, Young Jae Kim, Kwang Gi Kim

“…In this research, we demonstrate that three machine learning algorithms, trained on an ensemble of electroencephalogram (EEG) and clock drawing test (CDT) feature data for an AD classification task, show improved AD detection accuracy compared to when either the EEG or CDT dataset is used independently. …”
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Traffic Capacity Assessment of the Urban Elevated Bridge after Near-Field Explosion Based on the Response Surface Method by Jinghui Jiang, Chaoyi Xia, Kunpeng Wang, He Xia, Qikai Sun

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Analysis of closed and open numerical systems of geochemical data in spatial statistics environment in order to separate anomalous areas by Mirmahdi Seyedrahimi-Niaraq, Hossein Mahdiyanfar

“…This method models the geochemical open or log-transformed data by the U-spatial statistics algorithm and has been used for the first time in this paper. …”
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