Technology for Production of MSF-fuel – Direction Providing Transition to Circular Economy by B. M. Khroustalev, A. N. Pekhota, R. N. Vostrova, E. A. Pekhota

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Application of machine learning in the determination of rock brittleness for CO2 geosequestration by Efenwengbe Nicholas Aminaho, Mamdud Hossain, Nadimul Haque Faisal, Reza Sanaee

“…The findings of the study revealed that the geochemical composition of formation fluids is related to the brittleness index of rocks. …”
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Triboinformatic analysis and prediction of B4C and granite powder filled Al 6082 composites using machine learning regression models by Amit Aherwar, Anamika Ahirwar, Vimal Kumar Pathak

“…To address these challenges, machine learning (ML) has emerged as a potent approach in predicting the mechanical and tribological behavior of advanced materials, including Al-based composites. The primary aim of this study is to combine experimental methodologies with ML algorithms to accurately predict the wear and coefficient of friction for B4C-granite composites, thereby aiding in the design and manufacturing of materials with enhanced wear performance. …”
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Exploring the gut microbiota associated with peripheral nerve invasion in colorectal cancer patients and constructing predictive models by Chuanbin Chen, Qingmin Chen, Shenghai Liu, Guoxi Li, Jiawei Zhao, Jingting Huang, Tianyi Ye, Xinting Yang, Zigui Huang, Zhen Wang, Fuhai He, Mingjian Qin, Chenyan Long, Binzhe Tang, Yongqi Huang, Weizhong Tang, Jungang Liu, Xiaoliang Huang

“…The gut microbiota of these participants were subjected to 16S rRNA gene sequencing, followed by a thorough analysis to identify any significant differences between the groups. …”
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A novel method for predicting the geochemical composition of tailings with laboratory field and hyperspectral airborne data using a regression and classification-based approach by Yaron Ogen, Michael Denk, Cornelia Glaesser, Holger Eichstaedt

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Predictive modeling for mechanical characteristics of ultra high-performance concrete blended with eggshell powder and nano silica utilizing traditional technique and machine learn... by Yi Zhang, Qizhi Zhang, Ali H. AlAteah, Ahmed Essam, Sahar A. Mostafa

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Optimizing pyrolysis and Co-Pyrolysis of plastic and biomass using Artificial Intelligence by Manish Sharma Timilsina, Yuvraj Chaudhary, Prikshya Bhattarai, Bibek Uprety, Dilip Khatiwada

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Experimental study on DEM parameters calibration for organic fertilizer by the particle swarm optimization − backpropagation neural networks by Fandi Zeng, Limin Liu, Yinzeng Liu, Hongbin Bai, Chunxiao Li, Zhihuan Zhao

“…The previously identified important variables were optimized by the Central Composite Design test. The regression fitting models of the BP neural network have been developed from the data set derived from the Central Composite Design test results. …”
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BLACK HUMOUR: ORIGIN DESCRIPTION AND AN ATTEMPT OF IDENTIFICATION by Iryna A. Blynova.

“…Thus, the history of development and the tradition of theoretical understanding of the “black humour” term have been traced. An interpretation of the specified term based on native and foreign interpretive sources has been provided and the leading criteria for its differentiation among the varieties of the comic category have been identified. …”
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Progress and future direction of independently developed reservoir numerical simulation software in Shengli Oilfield by ZHANG Zhiqiang, YANG Yaozhong, ZHANG Shiming, YU Jinbiao, CAO Weidong, HU Huifang

“…To address the needs of reservoir development with complex geological conditions in Shengli Oilfield， this paper systematically elaborates on the independent R&D process， core technologies， and application achievements of reservoir numerical simulation software. …”
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Mathematical Modelling and Optimisation of Operating Parameters for Enhanced Energy Generation in Gas Turbine Power Plant with Intercooler by Anthony O. Onokwai, Udochukwu B. Akuru, Dawood A. Desai

“…The RSM, being the initial model, was able to predict but lacked precision when compared with the nonlinear influences that were modelled by ANFIS PSO and ANFIS GA, with power output, thermal efficiency and specific fuel consumption (sfc) having corresponding R² values of 0.979, 0.987 and 0.972. …”
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A novel hybrid machine learning approach for δ13C spatial prediction in polish hard-water lakes by Himan Shahabi, Ataollah Shirzadi, Alicja Ustrzycka, Natalia Piotrowska, Janusz Filipiak, Marzieh Hajizadeh Tahan

“…In accordance with the results, the ARAMT hybrid model performed more effectively in predicting δ13C than the other benchmark ML methods (R2 = 0.9882, MAE = 0.456, and RMSE = 0.527), the others giving: AMT (R2 = 0.982, MAE = 0.558, and RMSE = 0.347), RF (R2 = 0.8014, MAE = 0.612, and RMSE = 0.550), M5P (R2 = 0.7508, MAE = 0.813, and RMSE = 0.701), and GP (R2 = 0.7315, MAE = 0.768, and RMSE = 0.683). …”
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Diagnosis and treatment of ovarian cancer in the light of modern molecular genetic achievements by E. M. Kagirova, R. I. Khusainova, I. R. Minniakhmetov

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Сomparative Analysis of the Long-Term Results of Diabetic Macular Edema and Epiretinal Membrane Surgical Treatment by M. M. Bikbov, R. M. Zainullin, T. R. Gilmanshin, T. A. Khalimov

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Intellectual engineering of alpha fetoprotein-arachidonic acid interactions to develop a novel and intelligent chemometric-amperometric biosensor based on exploiting first-order ad... by Ali R. Jalalvand, Tooraj Farshadnia

“…Effects of experimental parameters on both structure and response of the biosensor were optimized by a central composite design (CCD). Under optimized conditions, first-order advantage was exploited from first-order amperometric data by modeling of them with PLS-1, rPLS, LS-SVM, PCR, CPR, RCR, BP-ANN, WT-ANN, PRM, DWT-ANN, RBF-ANN, and RBF-PLS to select the best algorithm to assist the biosensor for determination of AFP in blood samples having complex matrices. …”
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INFLAMMATION's cognitive impact revealed by a novel "Line of Identity" approach. by Donald R Royall, Raymond F Palmer

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Large River Overrides Tidal Marsh Outwelling in Spatial Gradients of Dissolved Organic Carbon: Observations Across Yangtze Estuary–Coastal Marsh Complex by Run Li, Deepak R. Mishra, Xuechu Chen, Fang Cao

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Prospects for the Integration of Google Trends Data and Official statistics to Assess social Comfort and Predict the Financial situation of the Population by M. V. Shakleinaa, M. I. Volkova, K. I. Shaklein, S. R. Yakiro

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The problem of recurrent cystitis from the perspective of a gynecologist. Possible ways to overcome by I. V. Ignatko, K. R. Bakhtiyarov, A. A. Churganova, V. M. Anokhina

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Artificial Neural Network Modeling of NixMnxOx based Thermistor for Predicative Synthesis and Characterization by T.D. Dongale, K.G. Kharade, N.B. Mullani, G.M. Naik, R.K. Kamat

“…Amongst the temperature sensors, NTC thermistors have captured their unique place due to the favorable metrics such as highest sensitivity, low cost, and ease of deployment. …”
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