Can Waste Heat of a Thermal Power Plant Be a Key For Absorption Cooling Systems? by Erdal Kacan, Erkan Kacan

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Melt analysis of mismatch amplification mutation assays (Melt-MAMA): a functional study of a cost-effective SNP genotyping assay in bacterial models. by Dawn N Birdsell, Talima Pearson, Erin P Price, Heidie M Hornstra, Roxanne D Nera, Nathan Stone, Jeffrey Gruendike, Emily L Kaufman, Amanda H Pettus, Audriana N Hurbon, Jordan L Buchhagen, N Jane Harms, Gvantsa Chanturia, Miklos Gyuranecz, David M Wagner, Paul S Keim

“…The Mismatch Amplification Mutation Assay, coupled with melt analysis (Melt-MAMA), is flexible, efficient and cost-effective. …”
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Model‐based meta‐analysis to quantify the effects of short interfering RNA therapeutics on hepatitis B surface antigen turnover in hepatitis B‐infected mice by Louis Sandra, Huybrecht T'jollyn, An Vermeulen, Oliver Ackaert, Juan‐Jose Perez‐Ruixo

“…Time course of the baseline‐ and placebo‐corrected mean HBsAg profiles were modeled using kinetics of drug effect (KPD) model coupled to an indirect response model (IRM) within a longitudinal non‐linear mixed‐effects MBMA framework. …”
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Short-Term Power Load Forecasting Using Adaptive Mode Decomposition and Improved Least Squares Support Vector Machine by Wenjie Guo, Jie Liu, Jun Ma, Zheng Lan

“…However, real load forecasting is often disturbed by the inherent non-stationarity and multi-factor coupling effects. To address this problem, a novel hybrid forecasting framework based on adaptive mode decomposition (AMD) and improved least squares support vector machine (ILSSVM) is proposed for effective short-term power load forecasting. …”
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Prediction-Based Distributed State Estimation Control for IoT-Enabled Train Positioning Systems by L. Ponnarasi, P. B. Pankajavalli, Y. Lim, R. Sakthivel, Sultan Alfarhood, Mejdl Safran

“…This study addresses a prediction and distributed state estimation-based reliable control problem for IoT-enabled train positioning systems which are subject to deception attacks, missing measurements, coupling delay, process and measurement noises. To mitigate the adverse effects of sensor attacks and faults on estimation performance, a novel resilient distributed state estimation method is proposed. …”
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Analytical Solution and Analysis of Aerodynamic Noise Induced by the Turbulent Flow Interaction of a Plate with Double-Wavelength Bionic Serration Leading Edges by Chenye Tian, Xiaomin Liu, Lei Wang, Yuefei Li, Yandong Wu

“…As a bionic flow control structure, leading-edge serrations have been proven to effectively suppress the aerodynamic noise of airfoils. …”
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Research on Decision-Making for Automatic Operation of Heavy-Haul Trains in Automatic Block Sections by ZHANG Zhengfang, XIONG Jiayuan, SHU Quanlin, LUO Yuan, JIANG Jie

“…The lower-layer model incorporates the most unfavorable signaling (stopping) constraints and uses optimal coupling states from the upper model as its starting point for the optimization of control curves, with the goal of ensuring safe and stable stopping. …”
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Day-Ahead Complementary Operation for a Wind-Hydro-Thermal System Considering Multi-Dimensional Uncertainty by Xiaoyu Shi, Rong Jia, Qiang Huang, Guohe Huang, Xuewen Lei, Jiangfeng Li, Bo Ming, Zeqian Zhao, Le Li

“…The new model and algorithm's effectiveness can be evaluated by applying them to the Shaanxi Electric Power Company in China. …”
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The Effective Use of Red Blood Cells as Vehicles for Chemical and Biological Therapeutic Agents (L-Asparaginase, Anti-Infective Drug Loaded Red Cells and Anti-Thrombotic- Loaded Re... by Okungbowa M.A.O.* and Ilori M.J.

“…In the last decade, these efforts have yielded diverse strategies to load drugs and nano-carriers to RBCs, and to optimize their pharmacokinetics, distribution, and effects in the body. …”
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Model-independent analysis of new physics effects in $$B\rightarrow K^*_2(1430)\mu ^+ \mu ^-$$ B → K 2 ∗ ( 1430 ) μ + μ - decay by Juhi Vardani, Ria Sain

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Enhanced transport in non-newtonian nano-level fluid flow over a rotating disk under radiation and soret–dufour effects: A numerical insight by Abbas Khan, Hashim, Bandari Shankar, Suriya Uma Devi, Waseem Sikandar, Kamel Guedri, Bandar M. Fadhl, Wasim Jamshed, Moaz Al-Lehaibi

“…This study investigates the Darcy–Forchheimer flow of Reiner–Rivlin nanofluid over a rotating disk, incorporating the physical effects of solute transport and thermal energy flow. …”
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Patient characteristics and adverse effects of allogeneic blood transfusion following lower extremity joint replacement in rheumatoid arthritis: a nationwide inpatient sample datab... by Wenyan Geng, Lulu Ye, Xuegao Yu, Qinfeng Yang, Linlin Wang, Xiaodan Li, Qing Xiao, Jian Wang

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New strategies of beneficial development of in-situ combustion in nearly abandoned heavy oil reservoirs by ZHENG Yiqiong, ZHANG Tao, LIU Haiying, RUAN Conghui, ZOU Shuai

“…This approach clarifies the critical economic indices of fire-flooding operations and aims to optimize production operations and decision-making effectiveness. …”
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Design of Swarm Intelligence Control Based on Double-Layer Deep Reinforcement Learning by Xiangpei Yan, Guorui Yu, Guoke Huang, Ruchuan Zhou, Liu Hao

“…The dynamic interaction between the inner and outer layers, coupled with multi-level collaborative optimization, enhances the system’s adaptability and operating performance. …”
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A Variational Inference-Based LSTM-Enhanced Deep Neural Model for Sequential Recommendations by Armielle Noulapeu Ngaffo, Ines Raissa Djouela Kamgang, Ebenezer Maka Maka, Yannick Malong

“…In addition, an enhanced variational inference coupled to the Evidence Lower Bound Optimization is applied on LSTM unit layers to perform uncertainty-aware predictions. …”
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Improving the Sensitivity of a Dark-Resonance Atomic Magnetometer by Hao Zhai, Wei Li, Guangxiang Jin

“…The second setup was employed to validate these optimized parameters using a coupled dark-state atom magnetometer experiment, achieving approximately a 10-fold improvement in sensitivity.…”
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Prediction on Permeability Coefficient of Continuously Graded Coarse-Grained Soils: A Data-Driven Machine Learning Method by Jinhua Wang, Haibin Ding, Lingxiao Guan, Yulin Wang

“…Three machine learning models—a neural network model (BPNN), a regression model (GPR), and a tree-based model (RF)—were employed to predict <i>k</i>, with hyperparameters optimized via particle swarm optimization (PSO) and four-fold cross-validation applied to improve generalization. …”
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MHD flow and heat transfer of Carreau nanofluid with slip effects, and modified Fourier–Fick’s law heat–mass fluxes over a paraboloid surface in porous medium by Tadesse Lamesse, Wubshet Ibrahim

“…Main features of the analysis are the formulation of the Navier stokes equations, energy and concentration equations using the Cattaneo–Christov heat and mass flux models, rather than the classical Fourier’s law and Fick’s law, which is used to account for time relaxation effects. The governing nonlinear, coupled partial differential equations are converted into an ordinary differential system using similarity variables and then solved numerically using the finite element method. …”
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Bidding Strategies for Energy Storage Participation in Electricity Market Considering Uncertainty of Wind Power and Carbon Trading by ZHANG Xianwen, YIN Gaowen, SHEN Feifan, HUANG Sheng, WEI Juan

“…The MATLAB simulation verifies the rationality and effectiveness of the proposed model in optimizing the participation of power side energy storage in multi scenario application bidding in the electricity market and improving the comprehensive operating income of the energy storage.…”
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Asynchronous Coordinated Control Method for Regional Multi-Agent Integrated Energy Systems Considering Voltage Deviation by LU Bin, WANG Yixiao, PU Chuanqing, CHEN Yunhui, CHEN Bobo, FAN Feilong

“…First, operation models for local equipment and power flow coupling optimization in the electricity-gas-heat network are established. …”
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