Study on Operation Control Strategy for Campus Public Building Heating Systems in Severe Cold Areas by Chuntian Lu, Shourui Xue, Yuetong Zhang, Songqing Wang

Get full text

Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

“…For this reason, a finite element analysis method based on random field theory is proposed in this paper, which can more realistically reflect the non-homogeneous characteristics of the reinforced soil retaining wall system by introducing a spatial random distribution model of the soil parameters and the mechanical properties of the geocells, so as to more accurately assess the influence of the spatial variability of the material parameters on the deformation behavior and stability of the retaining wall.MethodsFirstly, in parameter random field modeling, an innovative combination of Latin Hypercube Sampling (LHS) and exponential autocorrelation function is used to construct parameter random fields. …”
Get full text

How Can We Manage Repairing a Broken Finite Vibrating String? Solutions to the Problem I by Vladimir L. Borsch

Get full text

Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades by Mohammadjavad Tasharrofi, Mojtaba Heidarian Shahri, Ali Madadi

“…Since the optimization process only using genetic algorithms is very time-consuming and has high computational costs, artificial neural networks were used to reduce costs. The objective function in this optimization process was to increase efficiency while maintaining the flow rate and pressure ratio at the design point. …”
Get full text

Multifractal analysis of Bitcoin price dynamics by Cristian Bucur, Bogdan-George Tudorică, Adela Bâra, Simona-Vasilica Oprea

“… This research employs Multifractal Detrended Fluctuation Analysis (MFDFA) to investigate multifractal properties in financial variables, including Bitcoin prices and economic indicators. …”
Get full text

Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…However, this task remains challenging due to variable high-altitude viewpoints, complex environmental interference, and limitations in algorithmic efficiency. …”
Get full text

Optimization of MXene-based aqueous ionic liquids for solar systems using conventional and AI-based techniques by Mohamed Bechir Ben Hamida, Ali B. M. Ali, Narinderjit Singh Sawaran Singh, Loghman Mostafa

Get full text

Derivation and external validation of a risk score for clinically important declines in health and function among two longitudinal cohorts of women in the mid-life by Daniel H Solomon, Bernhard Haring, JoAnn E Manson, Rebecca Jackson, Aladdin Shadyab, Carrie Karvonen-Gutierrez, Kristine Ruppert, Leah Santacroce, Sherri-Ann M Burnett-Bowie, Alicia Colvin, Meryl S LeBoff, Celina I Valencia, Nancy E Avis

“…Objectives Women in mid-life often develop chronic conditions and experience declines in physical health and function. Identifying factors associated with declines provides opportunity for targeted interventions. …”
Get full text

Energy Consumption and Economic Growth Nexus: Insights from EU Member States by Dalina-Maria ANDREI

“…It searches for some short/long term relationships of these through a panel type model, based on the Cobb-Douglas neoclassic production function. Reference examples in the literature and tests applied for unit roots and cointegration determine our option for an autoregressive distributed lag (ARDL) model able to identify both common coefficients of long-term relationship between variables and individual (specific to each EU member country) coefficients on short-term relationships. …”
Get full text

Experimental investigation of solar PVT collector with the dryer on mass and temperature of dried red chili with Machine Learning Models by Miroslav Mahdal, K. Rajathi, Muniyandy Elangovan, Prabhukumar Sellamuthu, Amit Verma

“…Machine learning (ML) models, namely the Multilayer Perceptron (MLP), Radial Basis Function (RBF), and Decision Tree (DT), were used to forecast the temperature and mass dryness variables.The RBF model showed the best performance with 0.98, 0.95, and 0.92 for temperature dryness, above MLP and DM. …”
Get full text

Kidney Function and Incident Stroke and Dementia Using an Updated Estimated Glomerular Filtration Rate Equation Without Race: The Multi-Ethnic Study of Atherosclerosis by Samuel R. Moen, Jeffrey R. Misialek, Timothy M. Hughes, Craig W. Johnson, Mark J. Sarnak, Sarah N. Forrester, W.T. Longstreth, Jr., Mercedes R. Carnethon, James S. Pankow, Sanaz Sedaghat

“…Inclusion of race to estimate kidney function has gained increased scrutiny given its problematic nature of being a societal construct rather than an inherent biological trait that affects function of the kidneys. …”
Get full text

Natural assets, changes, and variations of the socioeconomic-environmental systems along the Asian drylands belt by Jiquan Chen, Ranjeet John, Venkatesh Kolluru, Elizabeth A Mack, Peilei Fan, Jing Yuan, Zutao Ouyang, Jingyan Chen, Pavel Groisman, Changliang Shao, Amarjargal Amartuvshin, Garik Gutman

“…We found increased variability as well as spikes in extreme values in each of these three measures of SES function among the 23 PEs over the study period. …”
Get full text

West Nile Virus Vaccine Design by T Cell Epitope Selection: In Silico Analysis of Conservation, Functional Cross-Reactivity with the Human Genome, and Population Coverage by Frances M. Waller, Pedro A. Reche, Darren R. Flower

Get full text

Internal Benchmarking of Thermal Power Plants оf Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, Y. Z. Farzaliyev, U. K. Ashurova

“…A necessary condition for the feasibility of using these or those integral indicators is their functional and statistical independence. The results of the studies performed using the simulation method made it possible to establish that the smallest correlation occurs between the integral indicator calculated as the arithmetic mean of random variables and the integral indicator calculated as the coefficient of variation of the same random variables. …”
Get full text

STRUCTURAL RELIABILITY OPTIMIZATION DESIGN OF REINFORCED SHELL MODEL BASED ON ADAPTIVE SURROGATE MODEL by LIU YuZhuo, CAO LiXiong, WU JianGuo, LI HaiBo

“…Reinforced shell structure is widely used in aerospace load-bearing structures because its high specific stiffness and specific strength.By considering the uncertainty and risk factors in the structural parameters，the Reliability-Based Design Optimization （RBDO） can avoid the overly conservative design of the structure and ensure its reliability and safety.An efficient RBDO method based on adaptive agent model was proposed.This method solves the problem of lightweight design of reinforced shell structure under buckling reliability constraints.The adaptive addition of sample points was implemented through the expected feasibility function criterion，and the discrete variables was continued by constructing piecewise functions.This increases optimization efficiency while ensuring the reliability of design results.Finally，the effectiveness of the proposed method is verified by comparing the RBDO results with the deterministic optimization results.…”
Get full text

Artificial intelligence-driven fuzzy logic approach for optimal well selection in gas lift design: A brown field case study by Nnaemeka Princewill Ohia, Chadi Paul, Emmanuel Asolo, Taiwo Adetomiwa Adewa, Chidimma Favour Chukwu, Paschal Ateb Ubi, Daniel Hogan Itam, Daniel Ugochukwu Nnaji

“…However, selecting suitable wells for gas lift is complex due to the inherent uncertainty and variability in petroleum production data. Traditional decision-making approaches often struggle with this uncertainty, leading to suboptimal choices that can reduce efficiency and increase operational costs. …”
Get full text

A new method to solve multi-objective linear fractional programming problem in fuzzy stochastic environment by Ajeet Kumar, Babita Mishra

“…In this problem, the fuzzy random variables coefficient is involved as the parameters of the objective function as well as system constraints. …”
Get full text

Optimization of urban spatial planning considering isochrones of transport accessibility: The case of Aktobe city, Kazakhstan by Aigul Sergeyeva, Imanaly Akbar, Yergali Karakulov

“…Urban areas are characterized by diversity and variability, depending on their size, function, combination of elements, and the spatial distribution of industrial and transport infrastructure. …”
Get full text

The 4th Dimension in Animal Movement: The Effect of Temporal Resolution and Landscape Configuration in Habitat‐Selection Analyses by Johannes Signer, Cédric Scherer, Viktoriia Radchuk, Carolin Scholz, Florian Jeltsch, Stephanie Kramer‐Schadt

Get full text

Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach by Hoang Nhat-Duc, Nguyen Quoc-Lam

“…The proposed model is evaluated using root mean square error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R 2). Notably, an asymmetric loss function is employed during the training phase of LightGBM to restrict overestimations. …”
Get full text