Determination of Industry Indicators of Financial Analysis of Enterprises (on the Example of the Industry for the Production of Crude Oil and Natural Gas) by N. A. Bukharin, M. B. Laskin, S. V. Pupentsova

“…The paper presents an algorithm for testing the hypothesis of joint normality of a ninedimensional random vector. …”
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Smart extrusion via data-driven prediction of grain size and peripheral coarse grain defect formation by Marco Negozio, Lorenzo Donati, Adrian H. A. Lutey

“…The present work proposes a data-driven method for predicting grain size and PCG formation, combining finite element method (FEM) simulation data with experimental microstructural observations to train machine learning (ML) algorithms for classification and regression. Over 22,000 data points were collected from two distinct AA6082 aluminum alloy profiles with different geometries, extruded over a range of different process conditions. …”
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A mathematical model for antibiotic control of bacteria in peritoneal dialysis associated peritonitis by Colette Calmelet, John Hotchkiss, Philip Crooke

“…We propose a mathematical model describing the evolution of bacteria population in the presence of antibiotics for different peritoneal dialysis regimens. …”
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Clarification of Degraded Neutron Radiographic Images and Its Quality Metric Method by ZHANG Tian, MENG Chengbo, ZHANG Zhen, ZHAO Chenyi, QIAO Shuang

“…Specifically, according to the subjective scores of 30 groups of researchers on the effects of different restoration schemes, the proposed image restoration scheme achieves the best performance in subjective evaluation. …”

Multi-Frequency Entropy for Quantifying Complex Dynamics and Its Application on EEG Data by Yan Niu, Jie Xiang, Kai Gao, Jinglong Wu, Jie Sun, Bin Wang, Runan Ding, Mingliang Dou, Xin Wen, Xiaohong Cui, Mengni Zhou

“…However, the complex quantification of brain dynamics from a multi-frequency perspective has not been extensively explored, despite existing evidence suggesting interactions among brain rhythms at different frequencies. In this study, we proposed a novel algorithm, termed multi-frequency entropy (mFreEn), enhancing the capabilities of existing multivariate entropy algorithms and facilitating the complexity study of interactions among brain rhythms of different frequency bands. …”
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Desarrollo del pensamiento computacional en estudiantes de educación media mediante actividades Unplugged by Cesar Augusto Hernández Suárez, Audin Aloiso Gamboa Suárez, Raúl Prada Núñez

“…A quasi-experimental approach with a pretest-posttest design was used to assess computational thinking skills, including algorithmic thinking, decomposition, generalization, abstraction, and evaluation. …”
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Coverage problem in camera-based sensor networks using the CUDA platform by Jae-Hyun Seo, Yourim Yoon, Yong-Hyuk Kim

“…We use a genetic algorithm to increase the efficiency of closed-circuit television deployment in two-dimensional topography. …”
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Automated interpretation of influenza hemagglutination inhibition (HAI) assays: Is plate tilting necessary? by Garrett Wilson, Zhiping Ye, Hang Xie, Steven Vahl, Erica Dawson, Kathy Rowlen

“…Performance was also evaluated relative to the type of red blood cell (turkey and guinea pig) and influenza strain (12 different viruses). …”
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Objective Selection Criteria between ALT and Radial Forearm Flap in Oral Soft Tissues Reconstruction by Elisa Benanti, Marta Starnoni, Antonio Spaggiari, Massimo Pinelli, Giorgio De Santis

“…We observed that in the preoperative time, it is possible to select which flap between radial forearm and ALT is more appropriate for oral soft tissues defects reconstruction, according to the size of the tumor evaluated by MRI. We propose a decisional algorithm that suggests the type of flap to use between ALT and RFF.…”
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Filtering Data of High-Resolution Terrestrial Laser Scanner and Effects of Filtrations on the Landslide Monitoring by Mustafa Zeybek, İsmail Şanlıoğlu, Aşır Genç

“…The results revealed that the filtered comparison analyzes were evaluated easier. In addition, changes in plant cover in different periods for the comparison of models has been automatically filtered and the landslide movements have been interpreted with purifying from artificial distortion.…”
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Video microscopy: an old story with a bright biological future by Léa-Isabelle Renaud, Kelliane Béland, Eric Asselin

“…Abstract Single-cell analysis is increasingly popular in the field of biology, enabling more precise analyses of heterogeneous phenomena, particularly in the fields of embryology and the study of different diseases. At the heart of this evolution is video microscopy, an ancient but revolutionary technique. …”
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Optimización de la distribución de piezas irregulares en chapas // Irregular parts nesting problem optimization. by A. M. Lastres - Aleaga, J. Arbola - Ruiz, A. Cordovés - García

“…In the generation of</p><p>populations of possible solutions, using an algorithm based on the method of integration variables, in</p><p>addition is made comparing the results obtained by the proposed method with other results generated</p><p>by procedures developed by different authors, achieving improved use of material values and</p><p>reducing the generation time for solutions.…”
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Feature selection and aggregation for antibiotic resistance GWAS in Mycobacterium tuberculosis: a comparative study by Kirill Reshetnikov, Daria Bykova, Daria Bykova, Konstantin Kuleshov, Konstantin Kuleshov, Konstantin Chukreev, Egor Guguchkin, Alexey Neverov, Gennady Fedonin

“…In this study, we evaluated several such methods, namely, logistic regression with different regularization penalty functions, a recently introduced algorithm for solving the best-subset selection problem (ABESS) and “Hungry, Hungry SNPos” (HHS) a heuristic algorithm specifically developed to identify resistance-associated genetic variants in the presence of resistance co-occurrence. …”
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Multi-modal prediction of breast cancer using particle swarm optimization with non-dominating sorting by Vijayalakshmi S, John A, Sunder R, Senthilkumar Mohan, Sweta Bhattacharya, Rajesh Kaluri, Guang Feng, Usman Tariq

“…The experimental results of the study are evaluated against the state-of-the-art algorithms, namely, genetic algorithm kernel density estimation and particle swarm optimization kernel density estimation wherein the results justify the superiority of the proposed model.…”
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Multiplex Real-Time PCR Assay Using TaqMan Probes for the Identification of Trypanosoma cruzi DTUs in Biological and Clinical Samples. by Carolina I Cura, Tomas Duffy, Raúl H Lucero, Margarita Bisio, Julie Péneau, Matilde Jimenez-Coello, Eva Calabuig, María J Gimenez, Edward Valencia Ayala, Sonia A Kjos, José Santalla, Susan M Mahaney, Nelly M Cayo, Claudia Nagel, Laura Barcán, Edith S Málaga Machaca, Karla Y Acosta Viana, Laurent Brutus, Susana B Ocampo, Christine Aznar, Cesar A Cuba Cuba, Ricardo E Gürtler, Janine M Ramsey, Isabela Ribeiro, John L VandeBerg, Zaida E Yadon, Antonio Osuna, Alejandro G Schijman

“…<h4>Methods/principal findings</h4>The MTq-PCR has been evaluated in 39 cultured stocks and 307 biological samples from vectors, reservoirs and patients from different geographical regions and transmission cycles in comparison with a multi-locus conventional PCR algorithm. …”
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Population-level predictive variation in machine learning diagnosis of symptomatic bacterial vaginosis by Diandra P. Ojo, Cameron Celeste, Dion Ming, Ruogu Fang, Ivana K. Parker

“…To determine the ability of ML models to perform equitably, this study evaluates the performance of ML algorithms in predicting symptomatic BV across different ethnic groups using 16S rRNA sequencing data. …”
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A Low-Cost Antipodal Vivaldi Antenna-Based Peanut Defect Rate Detection System by Yuanyuan Yin, Fangyan Ma, Xiaohong Liu, Shuhao Wang, Junjie Xia, Liqing Zhao

“…In this study, we introduce an innovative non-destructive evaluation method for peanut defects. Differing from traditional and often expensive or complex detection methods, our approach utilizes a low-cost antipodal Vivaldi antenna, complemented by a custom-designed defect rate detection system. …”
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Approximation-Aware Training for Efficient Neural Network Inference on MRAM Based CiM Architecture by Hemkant Nehete, Sandeep Soni, Tharun Kumar Reddy Bollu, Balasubramanian Raman, Brajesh Kumar Kaushik

“…This architecture includes a mapping algorithm that modulates inputs and map AFC to crossbar arrays directly, eliminating the need to predict approximated weights for evaluating output. …”
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Improved Understanding of Multicentury Greenland Ice Sheet Response to Strong Warming in the Coupled CESM2‐CISM2 With Regional Grid Refinement by Ziqi Yin, Adam R. Herrington, Rajashree Tri Datta, Aneesh C. Subramanian, Jan T. M. Lenaerts, Andrew Gettelman

“…The VR grid better captures the CISM ice sheet topography by reducing elevation discrepancies between CAM and CISM and is, therefore, less reliant on the downscaling algorithm, which is known to underestimate albedo gradients. …”
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A Novel Prediction Model for the Sales Cycle of Second-Hand Houses Based on the Hybrid Kernel Extreme Learning Machine Optimized Using the Improved Crested Porcupine Optimizer by Bo Yu, Deng Yan, Han Wu, Junwu Wang, Siyu Chen

“…In addition, this paper discusses the performances of different chaotic maps to improve the CPO and proves that the algorithm including chaotic maps, mixed mutation, and tangent flight has the best performance. …”
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