Optimizing mesenchymal stem cell therapy: from isolation to GMP-compliant expansion for clinical application by Michael E. Williams, Federica Banche Niclot, Sara Rota, Jaesang Lim, Janaina Machado, Ricardo de Azevedo, Katia Castillo, Samuel Adebiyi, Ranga Sreenivasan, Daniel Kota, Patrick C. Mcculloch, Francesca Taraballi

“…Methods FPMSCs from three different patients were isolated following established protocols and the efficacy of two animal component-free media formulations in the culturing media were evaluated. …”
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Enhanced permeability prediction in porous media using particle swarm optimization with multi-source integration by Zhiping Chen, Jia Zhang, Daren Zhang, Xiaolin Chang, Wei Zhou

“…The model integrates multi-source data from the Lattice Boltzmann Method (LBM), Pore Network Modeling (PNM), and Finite Difference Method (FDM). …”
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Application of a novel metaheuristic algorithm inspired by connected banking system in truss size and layout optimum design problems and optimization problems by Mehrdad Nemati, Yousef Zandi, Jamshid Sabouri

“…Abstract Optimum design of truss structures can be a challenging and difficult field of study specially if an optimum design problem is comprised of continuous and discrete decision variables such as in truss size and layout optimization problems. Usually metaheuristic approaches are selected to solve these kind of problems and there are many different metaheuristic methods that have been used in dealing with truss optimization problems, which provide optimum solutions for those problems. …”
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An Improved DGA Feature Clustering-Based Method for Transformer Fault Diagnosis by Yujie Zhang, Jian Feng, Shanyuan Wang

“…Based on multiple data sets, it is verified that the proposed method can effectively avoid the occurrence of invalid clustering, and the difference among different fault types based on multiple clustering spaces method is more obvious.…”
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Determination of Human Hair Components by Spectrophotometric Methods for the Diagnosis of Thyroid Diseases by Fatima H. Salih, Shaimaa S. Mahdi, Alaa H. Ali

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Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning by Osman Tayfun Bişkin, Cemre Candemir, Mustafa Alper Selver

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Optimization of Thermoelectric Module Configuration and Cooling Performance in Thermoelectric-Based Battery Thermal Management System by Songqiao Fu, Hongmao Qin

“…To resolve the conflict between cooling efficiency and input power in existing battery thermal management systems based on thermoelectric cooling, this paper proposes an optimization method for the layout of thermoelectric devices. …”
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Accurate analysis method of network element performance and service data characteristics by Xuanyu GUO

“…The performance of telecommunication network was usually analyzed by the KPI of network management system.If there was something wrong with the KPI,it needed the network optimization personnel to position problems.The efficiency of analyzing result depended on the quality of the network optimization personnel.Meanwhile,the analysis of data performance was rough estimated.As the unified deep packet inspection could show out the smaller granularity of the service status and channel quality,the analysis method of service data and node performance was discussed.By data slice and data association of control plane XDR and user plane XDR,the performance was analyzed with smaller granularity to show the quality of the network and the experience of users.So the user experience was showed out by different applies and services with different scenes,and the data characteristics of the XDR were more clearly.Finally,it improves the efficiency of network optimizing,the user feeling and the capability of data realization.…”
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Value of Systematic and MRI‐Ultrasound Fusion Prostate Biopsy in Different Prostate Specific Antigen (PSA) Levels by Solmaz Ohadian Moghadam, Mohammad Haddadi, Erfan Amini, Seyed Ali Momeni, Masoud Bitaraf, Mohammad Reza Nowroozi

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Towards an optimization of catheter guidance in vascular surgery: A comparative analysis of the contribution of reinforcement learning by Cheima Bouden

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Comprehensive Evaluation Method of the Tight Oil Reservoir Quality in the Ordos Basin by Peng Song, Jian Shi, Xinju Liu, Yan Zhou, Weiguo Yang, Shuheng Li, Shuxun Zhou, Haiyang Yu

“…However, under the dual control of lithology and physical properties, reservoirs are generally dense and heterogeneous, and the quality of the oil layer changes rapidly, which brings difficulties to the optimization of favorable areas. To evaluate the reservoir quality more accurately, based on core observations, and logging and dynamic data analysis, combined with casting thin sections, scanning electron microscopy, high-pressure mercury injection, nuclear magnetic resonance, and other related experiments, different reservoir types and characteristics were analyzed, and a comprehensive method for evaluating the reservoir quality was established. …”
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The Study of Large-Scale Fading Using a Wavelet Transform Method by Guizhen Lu, Zhi Cao, Xingning Jia, Jingjing Liang

“…The path loss of measurement is analysed with different levels of wavelet decomposition and compared with an optimized Hata model. …”
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Automated Machine Learning for Optimized Load Forecasting and Economic Impact in the Greek Wholesale Energy Market by Nikolaos Koutantos, Maria Fotopoulou, Dimitrios Rakopoulos

“…This study investigates the use of automated machine learning to forecast the demand of electrical loads. A stochastic optimization algorithm minimizes the cost and risk of the traded asset across different markets using a generic framework for trading activities of load portfolios. …”
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Tracing the root of the evil in the carbon footprint of tomato production: Implications for optimization process and policy formulation by Theodoros Markopoulos, Dimitrios N. Kaziolas, Christos Staboulis

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Numerical Simulation Study on Optimization of Multiparameter Combination for Horizontal Well Fracturing in Nonhomogeneous Conglomerate Reservoirs by Zehao Xu, Haiyang Zhao, Xiangjun Liu, Xiong Zhang, Pandeng Luo, Lixi Liang

“…Optimizing multicluster fracturing designs in heterogeneous conglomerate reservoirs is critical due to their complex characteristics. …”
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Load recognition method based on convolutional neural network and attention mechanism by ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin

“…Secondly, the feature aggregation ability of CNN is improved by using squeeze-and-excitation network (SENet) attention mechanism to complete the feature extraction and load identification of U-I trajectory curves of different electrical appliances. Finally, the private dataset and PLAID dataset are tested, and the example results show that the proposed method has high recognition accuracy and good generalization performance in different operational scenarios.…”
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Evaluating the thermal behavior and structural integrity of potato cold storage facilities: insights for design optimization by Ismail Cengiz Yilmaz, Deniz Yilmaz, Ebru Mancuhan, Ibrahim Timucin Ince

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Effective deployment strategies for optimizing area coverage in multistatic sonar detection based on Cassini oval approximation and a virtual force algorithm by Liufang Fu, Ming Zhou, Linzhou Xu, Xiaoming Dong, Zhu Kou, Chunyu Kang

“…Multistatic sonar is regarded as a highly promising method for detecting quiet submarines over long distances. …”
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A panting behavior-driven assessment framework for summer ventilation quality optimization in layer houses by Zixuan Zhou, Lihua Li, Hao Xue, Yuchen Jia, Yao Yu, Zongkui Xie, Yuhan Gu

“…Addressing the issue of ''qualified environmental parameters but chicken discomfort'' caused by traditional methods overlooking spatial heterogeneity and individual differences, a dynamic ventilation quality assessment method based on panting behavior detection in laying hens was proposed. …”
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Crack Recognition Algorithm Integrating Attention Mechanism and Region Growth Method by LING Xiaokang, ZHAN Jie, MA Jianfei

“…To optimize traditional crack identification methods,improve the robustness and accuracy of the crack identification method,and realize automatic crack identification,this paper proposes a crack recognition algorithm integrating attention mechanism and region growth.It establishes dynamic thresholds and obtains the crack results under different thresholds by employing the region growth method.The attention mechanism is introduced to assign different weight coefficients to each pixel of the image according to the crack identification under dynamic thresholds for more accurate crack recognition results.Finally,the characteristic information of cracks is determined by the length of the crack skeleton and the area occupied by the crack region (length and average width of the crack).Through verifying field crack images,the results show that the crack characteristic information identified by the crack identification method integrating attention mechanism and region growth is basically consistent with the actual crack characteristics.The method features strong robustness and identification accuracy,which provides support for engineering health monitoring.…”
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