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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Factors associated with macrosomia among singleton live-birth: A comparison between logistic regression, random forest and artificial neural network methods by Payam Amini, Saman Maroufizadeh, Omid Hamidi, Reza Omani Samani, Mahdi Sepidarkish

“…Background: Macrosomia with adverse outcomes for mother and infant is affected by several risk factors. Classification methods including logistic regression, random forest and artificial neural network are used to determine high risk groups for macrosomia.   …”
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A 4–40 V Input Floating–Ground GaN-Based Buck–Boost Converter With Pre-Charge Function for Enhanced Power Efficiency by Weizhong Chen, Lei Chen, Ping Gui

“…Many applications including automotives demand DC-DC power converters that can cover wide input range with improved power efficiency. This paper presents a 4–40 V input, Gallium Nitride (GaN) based non-inverting buck-boost converter incorporating several methods to improve power efficiency. …”
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Comparative Study of Multiple Supervised Classification Methods to Map Land Use in Local and Regional Scales (Case Study:Kan and Karaj Rivers Basin) by Maryam Alizadeh, Rooholah Mirzaee, Saedhosain Kiya

“…In addition, following the aforesaid method, at the Anderson Level 1, Artificial Neural Networks and Mahalanobis Distance methods and at the Anderson Level 2, the Artificial Neural Networks and Support Vector Machine methods also showed acceptable Kappa coefficient in land cover/use mapping. …”
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Anti-crisis management in educational institutions is the requirement of time by Cychuk Оlga

“…Anti-crisis management methods are analyzed, including: diagnostic methods and methods aimed at overcoming crises (tactical, strategic). …”
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The Solid Phase Extraction of Some Metal Ions Using Palladium Nanoparticles Attached to Silica Gel Chemically Bonded by Silica-Bonded N-Propylmorpholine as New Sorbent prior to The... by M. Ghaedi, M. Rezakhani, S. Khodadoust, K. Niknam, M. Soylak

“…The present method is simple and rapidly applicable for the determination of the understudied metal ions (ng mL−1) in different natural food samples.…”
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Uso de um esquema implícito e de splines para a simulação numérica do processo de resfriamento de frutas esféricas Use of an implicit scheme and splines for the numerical simulatio... by Mariângela Amendola, Bárbara Teruel

“…Although, the value of the convective heat transfer coefficient was significantly different; this variation shows how this coefficient is sensible to the assumptions of the cooling process and that this research must continue in order to determine its effective value.…”
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Resource‐explicit interactions in spatial population models by Samuel E. Champer, Bryan Chae, Benjamin C. Haller, Jackson Champer, Philipp W. Messer

“…Here, we present a novel modelling method in which the resources available to a population are abstractly represented as an additional layer of the simulation. …”
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A New Method for Extracting and Measuring Methoxyfenozide Using ND/PAN-K10 SPE Using High Performance Liquid Chromatography by Marzieh Piryaei, Mir Mahdi Abolghasemi, Monireh Sobhi

“…It is also noteworthy that the applied method is economical and has a good linear range, reproducibility, and high sensitivity.…”
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Perception of Trainers for the Athlete by Nuri Berk Güngör, Serkan Kurtipek

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Spectroscopic Method for Detection of Soluble Solid Content in Cherry Tomato Using Deep Convolutional Generative Adversarial Network-Based Data Augmentation by WU Zhijing, LIU Fuqiang, LI Zhigang, CHEN Hui

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Machine Learning-Based Backpressure Unstart Prediction and Warning Method for Combined Cycle Engine Hypersonic Inlet-Oriented Wide Speed Range by Ke Min, Tanbao Hong, Zejun Cai, Lianchen Yu, Chengxiang Zhu, Jianping Zeng

“…Finally, the proposed method and prediction models are validated by wind tunnel experimental data.…”
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An analytical optimal calibration framework of bonded particle model for rock strength envelop modelling by Xiaoxiong Zhou, Hongyi Xu, Qiuming Gong, Yanan Ma, Weiqiang Xie

“…Abstract When employing bonded discrete element models (DEMs) to model rocks, a fundamental problem is how to determine the micro parameters to accurately simulate the rock strength characteristics. …”
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Traction Calculation for Modular Energotechnological Unit Given Kinematic Mismatch of Driving Axles by A. V. Lavrov, V. А. Voronin, M. V. Sidorov, I. A. Pekhalskiy

“…To implement it, an energotechnological modular unit was created.Research purpose The purpose of the study is to determine the traction efficiency of a block-modular energotechnological unit given a kinematic discrepancy between the tractor wheels.Materials and methods The system of equilibrium equations for the transport-technological module being free-attached to the energy module is presented as the sum of forces projections on the axis. …”
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Assessment of Future Flood Loss in the Daqing River Basin Based on Flood Loss Rate Function by SHI Rongqing, HUANG Lingmei, LI Jia, SHEN Ao

“…To identify flood-prone areas in the Daqing River Basin and classify flood risk levels, the Spearman's rank correlation coefficient and the random forest method were employed to analyze the correlation and importance between flood loss rates and influencing factors. …”
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Method validation of an inductively coupled plasma mass spectrometry (ICP-MS) assay for the analysis of magnesium, copper and zinc in red blood cells by Nazmin Bithi, Daniel Ricks, Brandon S. Walker, Christian Law, Kamisha L. Johnson-Davis

“…The resulting diluted specimen was analyzed using inductively coupled plasma mass spectrometry (ICP-MS) to quantitatively determine the levels of Mg, Cu, and Zn. The method underwent validation for accuracy, precision, method comparison, linearity, analytical sensitivity, and carryover. …”
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A Novel Method for Aging Life Evaluation of O-Rings Based on the Sealing Performance Degradation Model and the Artificial Neural Network Model by Xiaojia Wang, Yu Huang, Jianning Zhang, Zihui Wang, Weiping Hu, Chao Song

“…The ANN model achieved a root mean square error (RMSE) of 1.8264, a coefficient of determination (R²) of 0.9999, and a mean absolute percentage error (MAPE) of 8.05%, demonstrating high prediction accuracy and generalization capability. …”
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A New Method for 3D Dental Records Related to Orthopedic Treatments: The Hemimaxillary Plane Reference System and Its Clinical Implications by Lara Iannotti, Marco Serafin, Alberto Caprioglio

“…For RME to allow clinical improvement, molar rotation and intermolar angles at T1 should be less than the difference between the respective angles at T0 and the orthopedic expansion angle. This method provides a reproducible, radiation-efficient method to assess maxillary changes, enhancing treatment precision in orthodontics.…”
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Analysis and Forecast of the Demographic Situation in Kazakhstan by D. M. Kangalakova, Zh. K. Abzhan, S. Zh. Ibraimova, L. S. Spankulova

“…Using the method of extrapolation, the coefficients of fertility, mortality, natural, absolute, average population growth, and migration coefficient were determined. …”
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Comparative Study on Molecular Weight of Konjac Glucomannan by Gel Permeation Chromatography-Laser Light Scattering-Refractive Index and Laser Light-Scattering Methods by Mei Xu, Dong-Sheng Li, Bin Li, Chao Wang, Yu-Peng Zhu, Wen-Ping Lv, Bi-Jun Xie

“…The results show that the determination results of molecular weight of KGM are similar by two method, the molecular weight of KGM is 2.476×105 g/mol by online method measured, and it is 2.508×105 g/mol by single method measured, compared with only 1.3% difference between the two methods. …”
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