Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators. by Girmaw Abebe Tadesse, Laura Ferguson, Caleb Robinson, Shiphrah Kuria, Herbert Wanyonyi, Samuel Murage, Samuel Mburu, Rahul Dodhia, Juan M Lavista Ferres, Bistra Dilkina

“…The Window Average method particularly fails to correctly forecast malnutrition in parts of West and Central Kenya where the acute malnutrition rate is variable over time and typically less than [Formula: see text]. …”
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Removal of Cu and Zn Ions from Aqueous Solution Using Sodium Alginate and Attapulgite Composite Hydrogels by Dajian Huang, Wenbo Wang, Aiqin Wang

“…The effect of common variables including the content of APT, pH value, contact time and initial concentration of metal ions on the adsorption properties of the composite hydrogels for the adsorption of Cu 2+ and Zn 2+ ions was investigated using a batch adsorption technique. …”
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Evaluation of Grey Relation between Chaotic Characteristic and Uncertainty of Rolling Bearing Vibration Performance by Liang Ye, Xintao Xia, Zhen Chang

“…Based on the vibration data series of rolling bearing in service， the Hurst index is obtained using least square method in logarithmic coordinate system， and the chaotic characteristic of bearing operation performance state is judged in the corresponding time period of each vibration sequence. The maximum value of entropy of each vibration sequence is solved by utilizing the maximum entropy method， so as to quantitatively analyze the uncertainty of bearing vibration performance. …”
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Application of Three Neural Network Models in the Prediction ofStratospheric Wind Field by YUAN Junjie, LUO Rubin, LIAO Jun, YANG Zechuan, WANG Ning, LI Jun

“…The simulation results show that the neural network model can be applied to the prediction of stratospheric wind field and the BP neural networks optimized by genetic algorithm and particle swarm optimization can greatly improve the prediction accuracy of BP neural network, and the forecast wind speed is following the true value in a certain period of time. The prediction accuracy of the BP neural network optimized by particle swarm optimization is slightly better than that of the BP neural network optimized by genetic algorithm.…”
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Sensitivity Analysis of Axial Compressive Bearing Capacity of CFRP Concrete-filled Steel Tube by WU Jian, ZOU Hong, XU Zhichun, WANG Kunyun

“…The axial compressive bearing capacity of CFRP concrete-filled steel tube is related to many factors.Due to material manufacturing and use,these parameters are not a definite value.Based on this,this paper carries out the sensitivity analysis of axial compressive bearing capacity of CFRP concrete-filled steel tube with consideration of the uncertainty of parameters,conducts the parametric modeling of CFRP concrete-filled steel tube with Python,ABAQUS scripting language based on nine parameters and parameter sample values,calculates the ultimate bearing capacity by ABAQUS batch processor,analyzes the local and global sensitivity of ultimate bearing capacity,establishes the fitting function relation by the second order response surface aiming at the problem of large amount and long time of global sensitivity calculation,and calculates the global sensitivity index by the extended Fourier amplitude sensitivity test.The results show that:The inner diameter of steel tube has the greatest influence on the ultimate bearing capacity.By comparing the two methods of local sensitivity and global sensitivity,the parameters vary in a small range,and the ideal results can be obtained quickly through local sensitivity analysis.If the difference in variability of each parameter is too big,the results from global sensitivity analysis are more accurate.…”
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Information Integration from Distributed Threshold-Based Interactions by Valmir C. Barbosa

“…We quantify information integration by the total correlation, relative to the window’s duration, of a set of random variables valued as a function of message arrival. …”
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An Empirical Analysis of the Effects of Population Growth on Economic Growth in Ethiopia Using an Autoregressive Distributive Lag (ARDL) Model Approach by Alemayehu Temesgen Befikadu, Berhanu Alemu Tafa

“…However, in response to the long-term association between population expansion and economic growth in Ethiopia, the macroeconomic variables were subjected to a limit test and a broader causality test. …”
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Coherent Mechanistic Patterns of Tropical Land Hydroclimate Changes by Suqin Q. Duan, Kirsten L. Findell, Stephan A. Fueglistaler

“…The transform from geographical space to this novel process‐oriented phase space allows for interpretation of local, daily mechanistic relationships between key hydroclimatic variables in the context of time‐mean and/or global‐mean energetic constraints and the wet‐get‐wetter/dry‐get‐drier paradigm. …”
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A Nonlinear System State Estimation Method Based on Adaptive Fusion of Multiple Kernel Functions by Daxing Xu, Aiyu Hu, Xuelong Han, Lu Zhang

“…It is particularly important to estimate the state variables of a nonlinear system when the model is unknown. …”
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Laboratory-Modified Argument Driven Inquiry (Lab-Madi) Module: Content Validity Process by I. L. L. Ping, K. Osman

“…The results of the study indicate that the module has high validity in the six criteria assessed (suitability for target students, feasibility, time allocation and improving the dependent variables under study: argumentation skills, science process skills and concepts of diffusion and osmosis). …”
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SOME ASPECTS OF GENETIC MAPS CREATION by Yu. V. Chesnokov

“…Saturation of genetic maps gives possibility of compilation on map many segregated loci in one population up to full genome saturation. At the same time, effects of interaction “genotypeenvironment” can be as basis for variability, which is one of main reason why different populations some of the species not revealed identical length of the maps and differences can reach up to 20%. …”
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Analysis of Hydrological Response to Climate and Land Use Land Cover Changes in Jewha Watershed Using SWAT Model, Ethiopia by Dereje Gebrie Habte, Satishkumar Belliethathan, Tenalem Ayenew

“…At the same time, the prediction value of shrubland decreased to 14.186% in 2045. …”
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The Relationship Between Transport Infrastructure and Urban Land Prices: A Study in Hanoi, Vietnam by Nguyen Tran Tuan, Nguyen Thanh Lan

“…Specifically, land use change and accessibility are the two variables that had the strongest impact on land price changes in the study area, while travel time and development opportunities do not show any influence on land prices. …”
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ANALYSIS OF THE INFLUENCE OF CLIMATIC PHENOMENA ON VEGETABLE PRODUCTION by Diana Maria ILIE, Andreea Daniela GIUCĂ, Raluca Alexandra RĂDOI, Rozi -Liliana BEREVOIANU

“…This research was focused on the impact of climate change on vegetable production, with emphasis on the negative effects of temperatures and precipitation on them. At the same time, the analysis carried out in this study underlines the importance of understanding the relationship between climate variability and changes in vegetable production. …”
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Quantitative Forecasting of Soybean Commodity Production in Indonesia using POM-QM Software by Dhian Herdhiansyah, La Ode Alwi, Asriani Asriani

“…The dataset concerning soybean production spanning from 2000 to 2024 reveals notable variability, characterized by intervals of both scarcity and abundance. …”
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Reliability-Based Topology Optimization Considering Overhang Constraints for Additive Manufacturing Design by Fahri Murat, Irfan Kaymaz, Abdullah Tahir Şensoy

“…In numerical experiments on the MBB beam, the AM-RBTO algorithm reduced 3D printing time by approximately 18.3% and improved structural performance by lowering the objective function value by 1.85% compared to conventional RBTO. …”
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HEAT CONDITIONING AND OIL STABILIZATION OF FLAXSEEDS UNDER TWO DEFERENT HEATING METHODS by Tarek FOUDA, Mohamed EL-KHOLY, Adel ELMETWALLI, Mohamed DARWESH, Amal EL ZANATY

“…At Infrared treatments fixed feeding rate of 2 kg was used at radiation intensity of 53.01, 331.6, 477.5, 848.89 and 1,326.39 w/m2 and exposure times of 3, 6. 9, 12 and 15 minutes. The results showed that, for conduction heating process using heat treatment at 105°C for min gives the best result in terms of lower free fatty acids and peroxide value, But in Infra-red treatment the best result was obtained at 331.59 w/m2 for 15 min.…”
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Mathematical modelling and forecasting of the Lithuanian export by Virmantas Kvedaras, Rimantas Rudzkis

“…The stationarity of Lithuanian export and the main explored exogenous variables (GDP, import values, exchange rates and CPI) are analysed using the augmented Dicky–Fuller test. …”
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Incidence of pressure injuries in critically ill patients with and without covid-19: study of Cohort by Marina Raffin Buffon, Isis Marques Severo, Karina de Oliveira Azzolin, Amália de Fátima Lucena

“…An increase in pressure injuries was observed in patients with chronic diseases, on mechanical ventilation and in the prone position The clinical variables associated were “obesity,” “Braden ≤ 12,” and “sedation time.” …”
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Inventory Control of Single Perishable Item in Neutrosophic Environment: with Stock-based Demand, Preservation technology, Shortage and Two-stage price discount for Imperfect items by Geremew Assefa Gudeta, Natesan Thillaigovindan, Getinet Alemayehu Wole

“…The Taylor series approximation is used to transform the time variables in the profit function into the order quantity and maximum stock variables. …”
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