Substantiations for the optimal modes of cultivator paws on vibro-impact suspension by L. F. Babitsky, I. V. Sobolevsky, V. A. Kuklin

“…Experimental studies have shown that with an increase in the number of pairs of impactors n, the energy intensity of processing decreases by 7...16%, with the improvement of qualitative indicators within the experimental error and satisfying the agrotechnical requirements. …”
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Wireless Sensor Networks for Urban Development: A Study of Applications, Challenges, and Performance Metrics by Sheeja Rani S., Raafat Aburukba, Khaled El Fakih

“…Additionally, the proposed method obtains 36%, 30%, 46%, 35%, and 32% reduction in energy consumption, computation cost, execution time, error rate, and computational overhead, respectively, compared to conventional methods.…”
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Modeling rice leaf area index and canopy height in the US Mid‐South region by Ellie Kuhn, Beatriz Moreno‐García, Michele L. Reba, Kusum Naithani, Benjamin R. K. Runkle

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Acute Respiratory Distress Identification via Multi-Modality Using Deep Learning by Wajahat Nawaz, Kevin Albert, Philippe Jouvet, Rita Noumeir

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Corrosion Rate Prediction of Buried Oil and Gas Pipelines: A New Deep Learning Method Based on RF and IBWO-Optimized BiLSTM–GRU Combined Model by Jiong Wang, Zhi Kong, Jinrong Shan, Chuanjia Du, Chengjun Wang

“…The verification of 100 groups of experimental data yielded the following results: the mean square error of this model is 0.0498 and the R² is 0.9876, which is significantly superior to that of other prediction models. …”
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Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy by Mahadee Al Mobin

“…Leveraging a robust data pipeline, this research incorporates a strategic downscaling technique, applying the Stochastic Bayesian Downscaling (SBD) algorithm to convert monthly DENV case data to daily frequency. …”
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Association study between genetic variations in gene and lung cancer risk in North Indian population: A multiple interaction analysis by Charu Bahl, Siddharth Sharma, Navneet Singh, Digamber Behera

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Intelligent Forecasting of Air Quality and Pollution Prediction Using Machine Learning by D. Kothandaraman, N. Praveena, K. Varadarajkumar, B. Madhav Rao, Dharmesh Dhabliya, Shivaprasad Satla, Worku Abera

“…This has not only become the key issues in scientific research but also turned to be an important social issues of the public’s life. …”
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Study on the interaction characteristics between pot seedling and planter based on hanging cup transplanter by Hongbin Bai, Fandi Zeng, Qiang Su, Ji Cui, Xuying Li

“…Comparative analysis reveals that the GA-BP algorithm demonstrates superior performance in ensuring model accuracy and stability, exhibiting better fitting performance with relative error rates between target and predicted values ranging from 2.25 to 10.54%. …”
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Analysis of Large-Strain Consolidation Behavior of Soil with High Water Content in Consideration of Self-Weight by Yupeng Cao, Jian Yang, Guizhong Xu, Jianwen Xu

“…Taking phosphatic clay in Florida as a research object, the consolidation behaviors of soil with high water content by axisymmetric large-strain theory and one-dimensional large-strain theory were analyzed. …”
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Crop Yield Prediction: Data Structure and Ai-Powered Methods by V. K. Kalichkin, K. Yu. Maksimovich, O. A. Aleshchenko, V. V. Aleshchenko

“…Future research may focus on adapting modern AI approaches to spatial land use objects and crop types, with an emphasis on remote sensing data.…”
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Emerging Technologies for Injury Identification in Sports Settings: A Systematic Review by Luke Canavan Dignam, Lisa Ryan, Michael McCann, Ed Daly

“…The review included research between 2014 and 2024; retrospective, conceptual, and fatigue-focused studies were excluded. …”
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An approach to measuring language-specific brain function in developmental language disorder by Caroline Larson, Jason C. Crutcher, Hannah R. Thomas, Michael C. Stevens

“…Purpose: Evidence characterizing brain function in developmental language disorder (DLD) is limited because measured brain function may reflect individual variability in task performance and error processing. This methodological study began characterizing language-specific brain function by administering the adaptive semantic matching paradigm during functional magnetic resonance imaging (fMRI) to individuals with DLD and by using a Bayesian analytical approach appropriate for small clinical samples. …”
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THE DEVELOPMENT OF COVID-19 USING OUTBREAK THE SUSCEPTIBLE, INFECTED, AND RECOVERED (SIR) MODEL WITH VACCINATION by Dorrah Azis, La Zakaria, Tiryono Ruby, Muhammad Is’ad Arifaldi

“…In this article, we describe and solve a research result on the SIR model with an assumption. …”
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Optimizing Injection Molding for Propellers with Soft Computing, Fuzzy Evaluation, and Taguchi Method by M. Hedayati-Dezfooli, Mehdi Moayyedian, Ali Dinc, Mostafa Abdrabboh, Ahmed Saber, A. M. Amer

“…This research explores multi-objective optimization in injection molding with a focus on identifying the optimal configuration for the moldability index in aviation propeller manufacturing. …”
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Spatial-temporal data analysis of digital twin [version 1; peer review: 1 approved, 2 approved with reservations] by Qian Ai, Lei Tang, Xing He, Bo Pan, Robert Qiu

“…The advantages of our spatial-temporal analysis are discussed, including model-free mode, solid theoretical foundation, and robustness against ubiquitous uncertainty and partial data error. Finally, we take the condition-based maintenance of a real digital substation in China as an example to verify our proposed spatial-temporal analysis mode. …”
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The Influence of Financial Management Transparency, Professional Development, and Academic Supervision on Teacher Job Satisfaction in Public Elementary Schools by Asih Umi Kholifah, Endang Wuryandini, Muhammad Prayito

“…A total sample of 113 respondents was selected using proportional random sampling based on the Slovin formula with a 5% margin of error. Data were primarily collected through a structured Likert-scale questionnaire, developed from validated theoretical constructs and tested for reliability (Cronbach’s Alpha > 0.70). …”
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Analyzing the applicability of psychometric QoE modeling for projection-based point cloud video quality assessment by Sam Van Damme, Jeroen van der Hooft, Filip De Turck, Maria Torres Vega

“…Satisfying results are yet obtained with correlation values often going above 0.700 on GOP- and frame-level while maintaining root mean squared error (RMSE) below 10 on a 0–100 scale. In addition, a Command Line Interface (CLI) Video Metric Tool is presented that allows for easy and modular calculation of NR metrics on a given video.…”
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Development of automatic insect-tracking robot system for measuring local activity changes in free walking by Ryoko Sekiwa, Tatsuya Ibuki, Shunsuke Shigaki

“…The robot tracks the insect with an error margin of less than 5 mm, recording the EAG responses associated with the olfactory reception during this process. …”
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Study on rolling contact fatigue life of aviation gear steel based on modified LP theory by ZHAO Xinhao, WU Jizhan, LIU Guoliang, LI Jiawei, LU Zehua

“…Predicting contact fatigue life is now a critical focus of both engineering and academic research. This work carries out research explore the quantitative prediction of gear contact fatigue life.MethodsFirstly, over 400 rolling contact fatigue specimens made from 9310 aviation gear steel were prepared and subjected to more than 5 000 hours of fatigue testing. …”
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