Analysis of variability in gestation length in sows and its association with litter traits at birth by Alexander Kramarenko, Olena Yulevich, Iryna Lіuta, Serhii Kramarenko

“…This study aimed to analyse the effects of genotypic factors (breed of the sow and sire boar) and environmental factors (year and season of farrowing) on the variability of gestation length in sows and to determine the nature of its association with litter traits at birth using a meta-analysis algorithm. The analysis was based on primary data regarding reproductive traits in the main herd of the private joint-stock company “Plemzavod “Stepnoi”, Zaporizhzhia Region, collected from 2010 to 2013. …”
Get full text

Processing streams in a monitoring cloud cluster by Alexey N. Nazarov

“…Hadoop web-programming environment is the technological basis for the development of algorithmic and software solutions for the synthesis of monitoring clusters, including information security and information counteraction systems. …”
Get full text

Ciliary peristalsis flow of hydromagnetic Sutterby nanofluid through symmetric channel: Viscous dissipation in case of variable electrical conductivity by Sameh A. Hussein, Sameh E. Ahmed, Anas A.M. Arafa

“…To carry out the numerical computations and produce graphical solutions, an appropriate algorithm is created and is referred to as the built-in command ND-Solve via computational software known as Mathematica. …”
Get full text

Gene Selection Based Cancer Classification With Adaptive Optimization Using Deep Learning Architecture by Anju Das, N. Neelima, K. Deepa, Tolga Ozer

“…The Enhanced Chimp Optimization (ECO) algorithm is applied to select the most significant genes while eliminating redundant or unwanted ones. …”
Get full text

A Theoretical and Experimental Investigation of the Effects of Inverted Wings Modifications on the Stability and Aerodynamic Performance of a Sedan Car at Cornering by Mustafa Sabeeh Abood, IhsanYahya Hussain, Anmar Hamid Ali

“…Mesh refinement with a polyhedral algorithm consisting of 11.27 million elements and a computational domain with a frontal area of 91.8 m2 and a curved length of 31 m (˜7 times car length) was crucial for achieving accurate and repeatable results. …”
Get full text

Crash Prediction on Expressway Incorporating Traffic Flow Continuity Parameters Based on Machine Learning Approach by Tian Lei, Jia Peng, Xingliang Liu, Qin Luo

“…When building real-time crash prediction model, a suitable variable space together with a specific time interval for traffic data aggregation and an appropriate modelling algorithm should be applied. Regarding the intercorrelation problem with variable space, comprehensive real-time crash prediction model considering available traffic data characteristics in applicable circumstances needs to be explored. …”
Get full text

Respiratory disease detection in lung auscultation with convolutional neural networks and CVAE augmentation by D.V. Panaskin, S.H. Stirenko, D.S. Babko

“…The quality of the obtained algorithm was evaluated using a 10-fold cross-validation. …”
Get full text

Estimation of crossbreeding and genetic parameters for reproductive traits of Boer x Central Highland goats in Ethiopia. by Zeleke Tesema, Belay Deribe, Mekonnen Tilahun, Alemu Kefale, Getachew Worku Alebachew, Kefyalew Alemayehu, Tesfaye Getachew, Damitie Kebede, Mengistie Taye, Solomon Gizaw

“…Variance, heritability, and repeatability estimates were estimated through the AI-REML algorithm using WOMBAT software. Genotype did not significantly (P>0.05) influence most of the reproductive traits studied except for gestation length. …”
Get full text

Does environmental public policy act as a slowdown for urban expansion? A 2012-2023 analysis with Landsat images by Jorge Alberto Escandón-Calderón, Columba Jazmín López-Gutiérrez, Demian Vázquez-Muñoz, Marco Antonio Gálvez-Lomelín, Marcela Rosas-Chavoya

“…Landsat 7 and 8 images were used to perform a supervised classification with Random Forest algorithm with which the surface of different land use classes was estimated for three years 2012, 2018, and 2023. …”
Get full text

Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in Nort... by Xiuyu Liu, Zhen Zhang, Tao Jiang, Xuehua Li, Yanyi Li

“…Then, seven methods such as linear regression, BP neural network (BP), KNN, random forest (RF), and random forest based on genetic algorithm optimization (GA_RF) are used to construct the inversion model of TSM concentration. …”
Get full text

PHILOSOPHY OF EDUCATION IN THE DIGITAL AGE: TRANSFORMATION OF KNOWLEDGE AND LEARNING by Марина ШУЛЬГА, Інна КУЗНЄЦОВА, Наталія ПОЛІЩУК

“…Traditional educational hierarchies give way to hypertextual and multi-agent forms of knowledge transmission, where the authenticity and credibility of knowledge increasingly depend on dynamic algorithmic and simulacral constructs. The practical significance of this work lies in defining new axiological imperatives for education that focus on enhancing adaptability and critical reflexivity in the learner. …”
Get full text

An ecological connectivity dataset for Black Sea obtained from sea currentsZenodo by Nikolaos Nagkoulis, Christos Adam, Ioannis Mamoutos, Stelios Katsanevakis, Antonios D. Mazaris

“…Analyses were conducted in R, and the algorithm developed to produce the data is accessible on Zenodo. …”
Get full text

Estimation of Forest Leaf Area Index Based on GEE Data Fusion Method by Xinyi Liu, Li He, Zhengwei He, Yun Wei

“…This article proposes a data fusion method to map LAI in Wolong Nature Reserve that utilizes Sentinel-2 reflectance data, solar sensor geometry parameters, and vegetation indices extracted from the Google Earth Engine platform, along with canopy height data derived from canopy height estimation models in previous studies, combined with GLASS LAI V6 to estimate LAI using the random forest algorithm. The resulting LAI distribution map was plotted at a resolution of 20 m. …”
Get full text

A risk signature constructed by Tregs-related genes predict the clinical outcomes and immune therapeutic response in kidney cancer by Gang Li, Jingmin Cui, Tao Li, Wenhan Li, Peilin Chen

“…Through the machine learning algorithm—Boruta, the potentially important KTRGs were screened further and submitted to construct a risk model. …”
Get full text

Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager by Gen Wang, Kefu Wang, Wei Han, Dongyong Wang, Xuexing Qiu

“…Second, the shrunken locally linear embedding algorithm (SLLE) was adopted to carry out the retrieval of precipitation based on the brightness temperatures of AGRI infrared channels 8–14. …”
Get full text

Smartphone-Based Automated Non-Destructive Testing Devices by V. F. Petryk, A. G. Protasov, R. M. Galagan, A. V. Muraviov, I. I. Lysenko

“…To ensure the operation of the smartphone in the ultrasonic flaw detector mode, the smartphone has software installed that runs in the Android operating system and implements the proposed algorithm of the device, and can serve as a repeater for processing data over a considerable distance (up to hundreds and thousands of kilometers) if it necessary.The experimental data comparative analysis of the developed device with the Einstein-II flaw detector from Modsonic (India) and the TS-2028H+ flaw detector from Tru-Test (New Zealand) showed that the proposed device is not inferior to them in terms of such characteristics as the range of measured thicknesses, the relative error in determining the depth defect and the object thickness. …”
Get full text

Reaction Kinetics of Cinnamaldehyde Hydrogenation over Pt/SiO2: Comparison between Bulk and Intraparticle Diffusion Models by Ali Al-Shathr, Zaidoon M. Shakor, Bashir Y. Al-Zaidi, Hasan Sh. Majdi, Adnan A. AbdulRazak, Safa Aal-Kaeb, Adel A. Shohib, James McGregor

“…The kinetic parameters were obtained by applying a nonlinear dynamic optimization algorithm. Nevertheless, the comparison between the methodology of the present model and these five models indicated that the non-competitive mechanism is more acceptable and identical with the single-site Langmuir–Hinshelwood kinetic model including mass transfer effects and it mimicked the reactant behavior better than the other models. …”
Get full text

The Impact of Locoregional Therapy in Nonmetastatic Inflammatory Breast Cancer: A Population-Based Study by Mahvish Muzaffar, Helen M. Johnson, Nasreen A. Vohra, Darla Liles, Jan H. Wong

“…These data reinforce the prevailing treatment algorithm for nonmetastatic IBC.…”
Get full text

The Emerging Role of Implementing Machine Learning in Food Recommendation for Chronic Kidney Diseases Using Correlation Analysis by Sachin Gupta, Neeraj Garg, Divyanshu Sinha, Babita Yadav, Bhoomi Gupta, Shahajan Miah

“…The results have proved that the ML algorithm detects the risk of CKD occurrence accurately in each stage via analyzing blood sugar, creatinine, and potassium levels. …”
Get full text

Causation Analysis of Hazardous Material Road Transportation Accidents by Bayesian Network Using Genie by Xiaoli Ma, Yingying Xing, Jian Lu

“…Parameter learning was conducted by the Expectation-Maximization (EM) algorithm in Genie 2.0. The two main results could be likely to obtain the following. (1) The Bayesian network model can explore the most probable factor or combination leading to the accident, which calculated the posterior probability of each risk factor. …”
Get full text