Improving Diagnostic Performance for Head and Neck Tumors with Simple Diffusion Kurtosis Imaging and Machine Learning Bi-Parameter Analysis by Suzuka Yoshida, Masahiro Kuroda, Yoshihide Nakamura, Yuka Fukumura, Yuki Nakamitsu, Wlla E. Al-Hammad, Kazuhiro Kuroda, Yudai Shimizu, Yoshinori Tanabe, Masataka Oita, Irfan Sugianto, Majd Barham, Nouha Tekiki, Nurul N. Kamaruddin, Miki Hisatomi, Yoshinobu Yanagi, Junichi Asaumi

“…The purpose of this study was to evaluate the usefulness of machine learning (ML)-based multi-parameter analysis using the MK and apparent diffusion coefficient (ADC) values—which can be acquired simultaneously through SDI—for the differential diagnosis of benign and malignant head and neck tumors, which is important for determining the treatment strategy, as well as examining the usefulness of filter pre-processing. …”
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Natural fibers for hydrogels production and their applications in agriculture by Liliana Serna Cock, Marcelo Alexander Guancha-Chalapud

“…The objectives were to examine, trends in research addressed to identify natural fibers used in hydrogels development and methods for modifying natural fibers, understand factors which determine the water retention capacity of a hydrogel. …”
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Experimental Identification of the Void Fraction in a Large Hydrodynamic Offset Halves Bearing by Alexander Engels, Sören Wettmarshausen, Michael Stottrop, Thomas Hagemann, Christoph Weißbacher, Hubert Schwarze, Beate Bender

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Assessment of The Effectiveness of Fiscal Policy in The Context of Socio-Economic Interests by I. A. Karpukhno

“…The proposed conceptual approach to assessing the effectiveness of fiscal policy in the context of socio-economic interests makes it possible to separate the assessment of fiscal efficiency and macroeconomic efficiency of fiscal policy and be guided by the proposed parameters when determining tax rates, which will allow using the fiscal policy of the state as an element of harmonizing the socio-economic interests of society.…”
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Research of the two-circuit combined-cycle cogeneration plant’s behavior according to the temperature chart by D. A. Treshchev, M. A. Treshcheva, D. L. Kolbantseva, A. A. Kalyutik

“…Simulation modeling of operation modes using the "United Cycle" software is applied as a research method of the considered power unit operation. We studied several regimes of heat supply from the considered CCGTs during the heating period with the determination of integral annual indicators, as well as the relative fuel savings compared to the separate generation and the increase in the specific integral economic effect for different values of the cogeneration coefficient.RESULTS. …”
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Cultivator­Fertilizer Field Tests Using a Differential Fertilization System by A. I. Derepaskin, A. N. Kuvaev, I. V. Tokarev

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Remodelling operational parameters on the performance of a modified domestic pressure cooker by Hesborn R. Ayub, Willis J. Ambusso, Daudi M. Nyaanga

“…The objective of the current study was to vary different parameters and investigate their effects on energy usage, time to cook, and efficiency of a pressure cooker(s). The three parameters, mass, insulation, and heating rate varied at 1 kg – 6 kg, 0 – 100 W/(m²⋅K), and 800 – 2000 W were experimentally determined and results were statistically analyzed. …”
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Determinación de la Granulometría del Nodulizante y el Parámetro de la Cámara mas adecuados para la obtención del Hierro con Grafito Esferoidal por el Método “In-mold”. // Determin... by A. Batista Cabrera, U. Ordóñez Hernández

“…</p><p>_______________________________________________________________________________</p><p>Abstract<br />Based on investigations carried out previously, it was determined the pre-alloy and type of more efficient typè of chamber<br />for the application of the procedure of iron with spherical graphite with nodulization in the mold ("In-mold"). …”
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The features of changes in orientations to employment among bachelor’s graduates by A. V. Merenkov, D. G. Sandler, V. S. Shavrin

“…The aim of the research is to identify the dynamics and qualitative changes in values, which determine the choice of the future workplace by university graduates, as well as the degree of compliance of the claims of young specialists with the requirements imposed by employers.Methodology and research methods. …”
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LogiTide2DEM: A method for reconstructing intertidal topography in complex tidal flats using logistic regression with multi-temporal Sentinel-2 and Landsat imagery by Yi-Chin Chen, Su-Fen Wang

“…To address these limitations, we propose LogiTide2DEM, a novel method for reconstructing intertidal topography. This method uses logistic regression to determine optimal tide heights for water-land differentiation as surface elevation using multi-temporal Sentinel-2 and Landsat imagery. …”
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Identification method and application of order parameters for organizational systems considering time-series values: A case study on high-quality development in China's regional ma... by Xin Wen, Yuqing Zhou

“…The results indicate that the identified order parameters accurately reflect the actual evolutionary state of the system. Furthermore, this method efficiently controls order parameters throughout the evolution of the system, providing operational and technical references for subsequent development processes. …”
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Development of a method for differential diagnosis of iron deficiency anemia and anemia of chronic disease based on demographic data and routine laboratory tests using machine lear... by N. V. Varekha, N. I. Stuklov, K. V. Gordienko, R. R. Gimadiev, O. B. Shchegolev, S. N. Kislaya, E. V. Gubina, A. A. Gurkina

“…The study of machine learning methods, a branch of artificial intelligence science, is relevant for the development of optimal screening strategies, identification of risk groups, and application of less expensive and more accessible laboratory tests to assess the body iron status.   …”
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Correlating the oral swab microbial community with milk production metrics in Holstein dairy cows by Joseph H. Skarlupka, Madison S. Cox, Andrew J. Steinberger, Dino L. Sbardellati, Andrew J. Scheftgen, Ibrahim Zuniga-Chaves, Eric Paget, Charles Skadron, Nithya Attipetty, Jennifer C. McClure, Derek M. Bickhart, Garret Suen

“…Our comparison of bacterial communities between high and low efficiency groups, as determined by GFE and RFI, identified a significant difference in Shannon’s diversity in second lactation cows (P < 0.05). …”
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Economic assessment of the digitalization of state property (based on the materials of the Perm territory) by E. V. Rozhkov

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The impact of knowledge management on business performance with emphasis on the role of accounting information quality (Case study: financial institutions listed on the Tehran Capi... by Rahele Mashaykhi, Ahmad Pifeh, Hamed Ahmadzade

“…The obtained value of the coefficient of determination for the main endogenous variable of performance is 0.514. …”
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Effect of the deflector plate on hydraulic performance and optimization of impact sprinkler nozzle by LI Haoyu, LI Tao, DI Yahe

“…A multi-index evaluation method was used to determine the optimal structural configuration.…”
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Equipment and Technology Application for Washing Highly Saline Soils by F. U. Zhuraev, F. Sh. Musulmanov

“…The authors showed that due to additional tillage in case of water shortage, the flushing rate could be reduced from 6500 cubic meters per hectare to 4500 or 5500 cubic meters. They determined that the application of the proposed technology reduced energy consumption by 9.0-14.5 percent, labor costs by 7.91-14.11 percent, operating costs by 8.16-11.0 percent, increased labor productivity by 16.3-18.0 percent, and that ensured annual economic efficiency in the amount of 11.6-12.6 million soums.…”
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Impedance value prediction of carbon nanotube/polystyrene nanocomposites using tree-based machine learning models and the Taguchi technique by Shohreh Jalali, Majid Baniadam, Morteza Maghrebi

“…A predictive model was developed, demonstrating high accuracy with a coefficient of determination (R²) of 0.96 between model predictions and experimental results. …”
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Comparing and Optimizing Four Machine Learning Approaches to Radar-Based Quantitative Precipitation Estimation by Miaomiao Liu, Juncheng Zuo, Jianguo Tan, Dongwei Liu

“…The key findings are as follows: (1) For models with a single-variable input, the KAN deep learning model outperformed Random Forest, Gradient Boosting Decision Trees, Support Vector Machines, and the traditional Z-R relationship. (2) When six features were used as inputs, the accuracy of the machine learning models improved significantly, with the KAN deep learning model outperforming other machine learning methods. Compared to using only radar reflectivity, the KAN deep learning model reduced the MRE by 20.78%, MAE by 4.07%, and RMSE by 12.74%, while increasing the coefficient of determination (R²) by 18.74%. (3) The integration of multiple meteorological features and machine learning optimization significantly enhanced QPE accuracy, with the KAN deep learning model performing best under varying meteorological conditions. …”
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Recognition of Aerodynamic Objects on Spectral Portraits Taking into Account Design Features of Turbojets by E. V. Zaiko, P. N. Shumsky

“…To form a posteriori probability density, the numerical method of Monte-Carlo was used. The results of the mathematical modelling, confirming the efficiency of the proposed device, are presented.…”
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