STRUCTURAL RELIABILITY OPTIMIZATION DESIGN OF REINFORCED SHELL STRUCTURE 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 surrogate model was proposed to solve 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.…”
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Defining the logistics performance as factor of production: an evidence based analysis from developing countries by Zunaira Khadim, Irem Batool, Minhas Akbar, Veronika Zidova, Asokan Vasudevan, Jin Zhang

“…The other control variables are capital stock, employed labor force, and financial development. …”
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Free vibration analysis of graphene-reinforced FGM microplates under different boundary conditions by Nguyen Van Loi, Chu Thanh Binh

“…The microplate is made from functionally graded material (FGM) and reinforced with graphene nanoplatelets (GPLs). …”
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Control of an autonomous wind energy conversion system based on doubly fed induction generator supplying a non-linear load by M. L’Hadj Said, M. Ali Moussa, T. Bessaad

“…This paper presents a variable speed constant frequency (VSCF) autonomous control system to supply isolated loads (linear or non-linear). …”
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Exploring the potentials of mango-orange leaf extract as an inhibitor on carbon steel in an acidic medium: Optimization, kinetics, and thermodynamics by Elijah Emeteveke Aghogho, Prosper Eguono Ovuoraye, Innocent Oseribho Oboh, Oluwafemi Osarhiemen Olayebi

“…The effects of optimized variables on corrosion inhibition were examined. The result confirmed optimum inhibition efficiency of 96 % corresponding to MOEx concentration, temperature, and time of 450 ppm, 30 0C, and 3 h recorded at an optimum acid concentration of 1.3 M of H2SO4. …”
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Development of Recurrent Neural Networks for Thermal/Electrical Analysis of Non-Residential Buildings Based on Energy Consumptions Data by Elisa Belloni, Flavia Forconi, Gabriele Maria Lozito, Martina Palermo, Michele Quercio, Francesco Riganti Fulginei

“…The results show that this approach can reproduce the functional relationship between input and output data. …”
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Novel active-feedback device improves sleep quality in insomnia disorder: a randomized placebo-controlled trial by Antonia Ypsilanti, Maan van de Werken, Anna Robson, Petra Examilioti, Lambros Lazuras, Lambros Lazuras

“…ObjectivesInsomnia disorder is a public health challenge associated with impaired cognitive functioning, reduced quality of life, and adverse mental health outcomes. …”
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Desempenho de cultivares de cebola em função do manejo da irrigação por gotejamento Performance of onion cultivars as a function of drip irrigation management by Renato C Vilas Boas, Geraldo M Pereira, Rovilson J. de Souza, Rodrigo Consoni

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A reliability model to predict failure behaviour of overlying strata in groundwater-rich coal mine by Ruirui Li, Xiaowei Hou, Luwang Chen, Yingxin Wang, Fuyou Huang, Lanting Wang

“…Rock strength parameters, including cohesion, internal friction angle, uniaxial tensile strength, and softening coefficient, are treated as random variables to determine the rock failure uncertainty. …”
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Optimization of PLGA-Doxorubicin Hybrid Nanoparticles using Design of Experiments: Synthesis, Characterization, and Applications by Adina TURCU-STIOLICA, Andrei BITA, Maria Viorica CIOCILTEU

“… Background and Aim: Poly (lactic-co-glycolic acid) (PLGA) exhibits a range of advantageous properties, including tunable particle sizes, stability, biodegradability, and the potential for surface functionalization. These characteristics have established PLGA as a widely utilized material in drug delivery systems. …”
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Day-Ahead Planning and Scheduling of Wind/Storage Systems Based on Multi-Scenario Generation and Conditional Value-at-Risk by Jianhong Zhu, Shaoxuan Chen, Caoyang Ji

“…The initial <i>SOC</i> of the storage system is introduced as a decision variable to enable flexible and efficient coordinated scheduling of the wind/storage system. …”
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Development of a cyclone separator for particulate matter control in fique bag production: A case study at Empaques del Cauca S.A. by Johana Astudillo Gutierrez, Jhon Alexander Guerrero Narvaez, Diego Andres Campo Ceballos, Javier Andres Muñoz Chaves

“…Both materials effectively eject zero particles per second into the air and collect the particles in the collector condenser with variable velocity profiles. In the case of the stainless-steel design, a marginal increase in particle collection is observed at specific velocity profiles, highlighting its overall efficiency. …”
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qBiCo: a method to assess global DNA conversion performance in epigenetics via single-copy genes and repetitive elements by Faidra Karkala, Roy B. Simons, Floor Claessens, Vivian Kalamara, Manfred Kayser, Athina Vidaki

“…Depending on the starting DNA quantity, bisulfite-converted DNA recoveries ranged from 8.5 to 100%, conversion efficiencies from 78 to 99.9%, while certain kits highly fragment DNA, demonstrating large variability in their performance. …”
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Predicting and Controlling Multiple Transmissions of Rotavirus Using Computational Biomedical Model in Smart Health Infrastructures by Titus Ifeanyi Chinebu, Kennedy Chinedu Okafor, Omowunmi Mary Longe, Kelvin Anoh, Henrietta Onyinye Uzoeto, Victor Onukwube Apeh, Ijeoma Peace Okafor, Bamidele Adebisi, Chukwunenye Anthony Okoronkwo

“…An efficiency test is conducted using RI control parameters B and V. …”
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Critical energy distribution and fracture characteristics of heterogeneous rock under splitting condition by Hongguang JI, Zhen FU, Yuezheng ZHANG, Chunrui ZHANG, Dongsheng CHEN

“…The experimental results show: ① The deformation space variability coefficient at the 90% peak stress level of the rock can be used to evaluate the differences in rock deformation coordination, and it is approximately negatively correlated with the tensile strength of the specimen; ② The acoustic emission bi value shows a “fluctuating-rising-falling” trend during the loading process. …”
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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. …”
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Sensitivity Analysis of Distribution Network Reconfiguration Optimization for Electric Vehicle and Renewable Distributed Generator Integration by Mahmoud Ghofrani

“…This approach aims to minimize power losses and enhance overall operational efficiency. To model the variability of wind and solar DGs, probability distribution functions (PDFs) are employed, which allow for a more accurate representation of their performance. …”
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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. …”
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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

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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. …”
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