Predicting Priority Factors for Rural E-Commerce Development Using Tri-Stage Integrated Attention Residual Transformer by He Li, Naiyu Shi

“…Despite increased interest in rural e-commerce, current models generally fail to combine these various aspects. This research introduces a new Tri-Stage Integrated Attention Residual Transformer (TIART) model to anticipate rural e-commerce development priorities. …”
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Getting Gender Right in Video Games, Simplifying for Inclusivity by Maria Isabel Rivas Ginel, Sarah Theroine

“…Due to these working conditions, previous research in the field (Rivas Ginel 2021) has shown that the second most common error found by linguistic testers is mistranslations, a phenomenon that results from the above-mentioned constraints as well as the presence of variables. …”
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Tribological behavior of PLA reinforced with boron nitride nanoparticles using Taguchi and machine learning approaches by Harishbabu Sundarasetty, Santosh Kumar Sahu

“…This research investigates the tribological characteristics of Polylactic Acid (PLA) reinforced with Boron Nitride Nanoparticles (BNNP). …”
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A Name Two Commentaries: Tuhfatu’l-Ebrār Fī Sharh Mashāriq al-Anwār by Kadir Ayaz

“…Arbili’s Tuhfat al-Abrar is the source used by Wajih al-Din Umar al-Arzinjani, the second commentator of Mashariq al-Anwar before Ibn Malak, and by al-Babarti afterwards. This research uses the back endpapers of the manuscripts to determine the title of the commentary belonging to al-Babarti to be al-Ishraq and draws attention to a recurring bibliographic error in recently related studies. …”
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Predicting the anion conductivities and alkaline stabilities of anion conducting membrane polymeric materials: development of explainable machine learning models by Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

“…The low anion conductivity and durability of AEMs have hindered the commercialization of AEM-based devices, and research and development (R&D) to improve AEM materials is often resource-intensive. …”
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A Case Study on Integrating an AI System into the Fuel Blending Process in a Chemical Refinery by Abdul Gani Abdul Jameel

“…The results showed that the AI-integrated fuel blending system was able to produce fuel recipes with a mean absolute error (MAE) of 1.4 for the AKI. The obtained MAE is close to the experimental uncertainty of 0.5 octane. …”
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Experimental Study on Gas-Solid Heat Transfer Characteristics for the Vertical Waste Heat Recovery Using the Inverse Problem Method by Sizong Zhang, Zhi Wen, Yi Xing, Xunliang Liu, Hui Zhang, Yaxuan Xiong

“…To establish an accurate model to optimize the vertical cooling process of the sinter, the inverse problem method is used to calculate the gas-solid heat transfer coefficient based on the gas outlet temperature, which is fitted into the correlation. The research indicates that the increase in the gas velocity is beneficial to the enhancement of the gas-solid heat transfer. …”
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Integrating Social Sustainability into Supply Chain Design: Optimization of a Capacitated Two-Echelon Location-Routing Problem by Mohamed Nafea, Lamia A. Shihata, Maggie Mashaly

“…As a result, this has opened multiple research directions within the location-routing problem. …”
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Ketahanan Perbankan Syariah Indonesia Terhadap Fluktuasi Kondisi Makroekonomi dan Kondisi Fundamental Saat Pandemi Covid-19 by Ayu Yuningsih, Esti Alfiah

“…This study uses a quantitative approach and is based on time series data (ime series). This research was conducted at Islamic Commercial Banks in Indonesia. …”
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Hypomethylation and Genetic Instability in Monosomy Blastocysts May Contribute to Decreased Implantation Potential. by Blair R McCallie, Jason C Parks, Alyssa L Patton, Darren K Griffin, William B Schoolcraft, Mandy G Katz-Jaffe

“…Surplus, cryopreserved blastocysts that were donated to research with IRB consent were chosen with varying chromosomal aneuploidies and respective implantation potential: monosomies and trisomies 7, 11, 15, 21, and 22. …”
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Can Elite Australian Football Player’s Game Performance Be Predicted? by Fahey-Gilmour J., Heasman J., Rogalski B., Dawson B., Peeling P.

“…Model performance, assessed using root mean square error (RMSE), varied (4.69-5.03 test set RMSE) but was generally poor when compared to a singular variable prediction (AFLPR pre-game rating: 4.72 test set RMSE). …”
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Estimation Parameters and Evaluation of Cropsyst Model to Predict the Growth and Yield of Two Wheat Cultivars in Northeast Khuzestan by JAFAR POURREZA, Sayed yaghoub hashemi, abdolah bahrani, mehran mombaini

“…To Estimate Parameters and Evaluation of Cropsyst Model to Predict the Growth and Yield of Two Wheat Cultivars in Northeast Khuzestan, an field experiment was conducted in the form of randomized complete block design in a research farm in Ramhormoz with three replications. …”
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EFFECT OF TILLAGE METHODS, MINERAL FERTILIZERS, HERBICIDES AND GROWTH REGULATORS ON PHYSICAL PROPERTIES OF SOIL, PRODUCTIVITY AND QUALITY OF WINTER WHEAT by V. M. Garmashov, I. M. Kornilov, N. A. Nuzhnaya, S. A. Gavrilova, N. V. Dronova

“…The results of researches of effect of tillage methods, mineral fertilizers, herbicides and growth regulators on physical properties of soil, productivity formation and quality of winter wheat have been given in the paper. …”
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Inversion model of stress state reconstruction for geological hazard pipelines based on digital twin by Xue Luning, Tian Mingliang, Zhao Juncheng

“…Under the three geological disasters of earthquakes, mudslides, and landslides, the root mean square error of the model’s predictions was below 3 GPa, and the accuracy remained above 94%. …”
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None are Accurate but Some are Useful: A Comparison of Different Systems Used to Assess Jump Height in Volleyball by Daan Grob, Arne Henriks, Job Fransen, Matthias Kempe

“…Validity was examined with the (standardized) typical error of the estimate and Bland Altman statistics with Optojump as the Benchmark system. …”
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Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach by Ghazi Al-Khateeb, Ali Alnaqbi, Waleed Zeiada

“…Future research could focus on refining models, exploring additional features, and validating results through real-world implementation trials. …”
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The effects of environmental patents on renewable energy consumption by Mihaela Onofrei, Bogdan Narcis Fîrțescu, Florin Oprea, Dana Claudia Cojocaru

“…Based on these results, we believe that policymakers and regulators should pay more attention to the research financing related to the investment and patenting of new environmental technologies, promoting a policy of encouraging and enforcing green technologies, regardless of their scope of application.…”
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AE-BoNet: A Deep Learning Method for Pediatric Bone Age Estimation using an Unsupervised Pre-Trained Model by Mojtaba Sirati-Amsheh, Elham Shabaninia, Ali Chaparian

“…On the other hand, there is no model trained with hand radiographic images, reused for bone age estimation.Material and Methods: In this fundamental-applied research, the collection of Radiological Society of North America (RSNA) X-ray image collection is used to evaluate the efficiency of the proposed bone age estimation method. …”
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Prediction of Urban Rail Transit Train Door Faults Based on FOA-BP Neural Network Model by WEN Kaiyue, QIU Weibin, DING Xianze, OU Hongxiang

“…Compared with the traditional BP neural network model, the FOA-BP model has the advantages of simple training method, short training time and greatly improved diagnostic accuracy. The error between the actual output value and the expected FOA-BP model output value is less than 1%, satisfying accurate diagnosis needs of URT train door faults.…”
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Comparative analysis of PI and fuzzy logic controller for grid connected wind turbine under normal and fault conditions by Mohamed Bahgat, Mohamed Ezzat, Mahmoud A. Attia, S. F. Mekhamer, Nourhan M. Elbehairy

“…Abstract This research is dedicated to improving the control system of wind turbines (WT) to ensure optimal efficiency and rapid responsiveness. …”
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