Construction and application of a digital twin model for multi-objectiveoptimization of intelligent tape conveyor system by Wei CHEN, Jingzhao LI, Qing SHI, Jichao LIU, Huashun LI

“…Results show that the DT-based intelligent conveyor system reduces coal spillage to less than 100 g/min, decreases blade wear rate by 8.99%, cuts actual power consumption by 8.61%, with Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) in sweep force prediction being 3.2748% and 0.017 respectively. …”
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Estimation of Total Suspended Solids Concentration in Streams Using Regression and Artificial Neural Networks Methods by Betül Mete, Sinan Nacar, Adem Bayram, Osman Tuğrul Bak

“…Compared to other functions, the power one had the best estimation results in the regression analysis. …”
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Up to half of companies would be behind on their climate targets under stricter scope 2 accounting rules by Anders Bjørn, Jens Friis Lund, Matthew Brander

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The Effectiveness of Self-Care in Diabetics on Self-Insulin Administration and Behavioral Markers Among Adolescents with Type 1 Diabetes by Ochappan Selvarajan, Kannan Rajendran, A. Helen Mary Perdita

“…Methods: This study adopted quantitative research methodology, utilizing a true experimental research design with pretest and post-test phases. Power analysis was used to calculate the study sample of 105 per group. …”
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Experimental Validation of Virtual Torque Sensing for Wind Turbine Gearboxes Based on Strain Measurements by Jelle Bosmans, Simone Gallas, Victor Smeets, Matteo Kirchner, Luk Geens, Jan Croes, Wim Desmet

“…ABSTRACT In efforts to reduce the operation and maintenance cost of wind turbines, there is an increasing interest to monitor key turbine quantities such as the torque load on the gearbox. …”
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The Algorithm for Predicting the Numerical Value of Salivary Cortisol Based on Heart Rate Variations in the Healthy Men by Mohammad Reza Noruzi, Marzieh Barzegar, Mahdi Alizadeh, Boshra Hatef

“…Conclusion: In this study, it was found that a set of linear and non-linear indicators of HRV with high power can predict the amount of salivary cortisol in the best case with a low error percentage of 7.43 by the RBF algorithm, and instead of stress self-report that does not cover the physiological part. …”
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State of Charge Estimation of Lithium-Ion Battery Considering Operating Conditions and Aging Degree by WU Jiang, ZHANG Yan, LIU Zelong, CHENG Gang, LEI Dong, JIAO Chaoyong

“…When using the extended Kalman filter (EKF) to estimate the state of charge (SOC) of an electric vehicle power battery, the change of system noise and model parameters may lead to a reduction in estimation accuracy, due to variable operating conditions, battery aging, and other factors. …”
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Evaluation of an Information Flow Gain Algorithm for Microsensor Information Flow in Limber Motor Rehabilitation by Naiqiao Ning, Yong Tang

“…After the noise is removed, the signal is extracted in the time domain and frequency domain, and the root mean square (RMS), absolute mean, median frequency in the time domain, and average power frequency in the frequency domain are selected and input to the classifier for pattern recognition. …”
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Environmental Characteristics of Modern Systems of Domestic Use of Fuel. Part 2. Pollutants Formation by Natural Gas Combustion in Atmospheric Burners: Experimental Studies by B. S. Soroka, V. V. Horupa

“…Carbon oxides CO and nitrogen oxides NO and NO2 are considered as toxic emissions, while the primary air excess coefficient and the heat load of the burner are considered as variable parameters. Under operating conditions of a gas stove, its variable characteristics are the gas pressure in front of the nozzle of the atmospheric burner and its thermal power. …”
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Scientific and Methodological Bases of Exergetic Analysis of the Processes of Heat Treatment of Concrete Products in Heat Technology Installations. Part 1 by V. N. Romaniuk, A. M. Niyakovskii

“…Having proven its effectiveness in finding the best options for energy supply and energy consumption the exergetic method of thermodynamic analysis of complex heat and power systems has been widely recognized in recent years. …”
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Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning by Meiyue Shen, Yine Zhang, Runqing Zhan, Tingwei Du, Peixuan Shen, Xiaochuan Lu, Shengnan Liu, Rongrong Guo, Xiaoli Shen

“…A total of 4600 adults were included in the analysis. The Least Absolute Shrinkage and Selection Operator regression method was employed to select relevant feature variables. …”
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Solar Energy Forecasting Framework Using Prophet Based Machine Learning Model: An Opportunity to Explore Solar Energy Potential in Muscat Oman by Mazhar Baloch, Mohamed Shaik Honnurvali, Adnan Kabbani, Touqeer Ahmed, Sohaib Tahir Chauhdary, Muhammad Salman Saeed

“…The unpredictable nature of renewable energy sources, such as wind and solar, makes them unreliable sources of energy for the power system. Nevertheless, with the advancement in the field of artificial intelligence (AI), one can predict the availability of solar and wind energy in the short, medium, and long term with fairly high accuracy. …”
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GENOME POLITICS: STRATEGY AND TACTICS by Jonas Rubikas

“…Human beings as all living Nature obey the bible trinity law: we are not only parents but also offsprins at the same time, we are joined to each other by the eternal renovation power - the GENOME. …”
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Intelligent back-propagated neural networks to study nonlinear heat transfer in tangent-hyperbolic fluids by Muhammad Asif Zahoor Raja, Huma Tayyab, Aamna Muskan Malik, Qazi Mahmood Ul Hassan, Kottakkaran Sooppy Nisar, Muhammad Shoaib

“…This paper presents a novel way to analyze unsteady flow and heat transfer in Magnetohydrodynamic Tangent-Hyperbolic Fluid (MHD-THF) flow over a stretching sheet that uses Recurrent Neural Networks (RNNs) optimized with the Levenberg-Marquardt Algorithm (LMA). …”
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Prediction of mechanical characteristics of shearer intelligent cables under bending conditions. by Lijuan Zhao, Dongyang Wang, Guocong Lin, Shuo Tian, Hongqiang Zhang, Yadong Wang

“…The frequent bending of shearer cables during operation often leads to mechanical fatigue, posing risks to equipment safety. …”
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Prediction of the Bending Strength of Boltless Steel Connections in Storage Pallet Racks: An Integrated Experimental-FEM-SVM Methodology by Zhi-Jun Lyu, PeiCai Zhao, Qi Lu, Qian Xiang, HongLiang Li

“…Based on the M–θ curve of the FE simulation, support vector machines (SVMs) were trained to predict the flexural rigidity of beam-to-column joints. The predictive power of the SVM algorithms is estimated by comparison with traditional ANN models via the root mean square error (RMSE), the mean absolute percentage error (MAPE), and the correlation coefficient R. …”
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Effect of Ultrasonic Treatment on the in Vitro Digestibility Properties of Black Bean Protein by Rong'an CAO, Xuemin ZHANG, Jingjing DIAO, Yunhua CHEN, Meiqi LI, Jiamiao ZHANG, Changyuan WANG

“…For exploring the effect of ultrasonic treatment on the digestive characteristics, the black bean protein was treated by ultrasonication at different power (150, 200, 250, 300, 350 W) and duration (6, 12, 18, 24 min) in low frequency (20 kHz). …”
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Foucault in Sulawesi: Challenging the Roots of Ethnic Discourse in South Sulawesi by Muh Adnan Malewa

“…Additionally, the 1609-1669 conflict is addressed, using Michel Foucault’s theory of power relations and knowledge. This research discovered how ethnic polarization occurred and offers possible corrections and additions to previous historians’ historical interpretations based more on national interests than historic facts. …”
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Changes in Cardiac Tone Regulation with Fatigue after Supra-Maximal Running Exercise by Pierre-Marie Leprêtre, Philippe Lopes, Claire Thomas, Christine Hanon

“…HHR𝜏 measured after the 400 m running exercise was longer compared to 300 m running bouts (183.7±11.6 versus 132.1±9.8 s, 𝑃<0.01). Absolute power density in the LF and HF bands was also lower after 400 m compared to the 300 m trial (𝑃<0.05). …”
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“What is good for animals is good for men” : animalité et abject dans Found in the Ground de Howard Barker by Eléonore Obis

“…This article analyses the analogies between Howard Barker's theatre of Catastrophe and the abject as defined by Julia Kristeva in Powers of Horrors through the study of Found in the Ground, a play where there are many animals on the stage. …”
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