Optimization of In Vivo Studies by Combining Planar Dynamic and Tomographic Imaging: Workflow Evaluation on a Superparamagnetic Nanoparticles System by Maritina Rouchota, Alessio Adamiano, Michele Iafisco, Eirini Fragogeorgi, Irineos Pilatis, Gilles Doumont, Sébastien Boutry, Daniele Catalucci, Argyro Zacharioudaki, George C. Kagadis

“…In the present study, we used an iron-based nanoformulation, already established as an MRI/SPECT probe, as well as to load different biomolecules, to investigate its potential for nuclear planar and tomographic imaging of several target tissues following its distribution via different administration routes. …”
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A Web-Interface Based Decision Support System for Optimizing Home Healthcare Waste Collection Vehicle Routing by Kubra Sar, Pezhman Ghadimi

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Evolutionary Artificial Intelligence Algorithm for Optimizing Step Phase Detection Based on Foot-Mounted Triaxial Accelerometer Data by P. A. Khmarskiy

“…Experiments involving walking along a closed square path confirmed the high accuracy and robustness of the proposed method: the match between the optimized and reference trajectories demonstrates the practical applicability of the approach for precise gait reconstruction under different conditions. …”
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Identifying priority areas for optimizing the urban thermal environment by considering the impacts of the built environment on outdoor thermal comfort by Ninglong You

“…It is crucial to identify the priority areas for optimizing the urban thermal environment as a strategy to mitigate this effect effectively. …”
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Intelligent Optimized Combined Model Based on GARCH and SVM for Forecasting Electricity Price of New South Wales, Australia by Yi Yang, Yao Dong, Yanhua Chen, Caihong Li

“…Therefore, in recent years, although large number of forecasting methods have been proposed and researched in this domain, it is very difficult to forecast electricity price with only one traditional model for different behaviors of electricity price. …”
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Optimization of Ultrahigh Pressure-Hot Air Drying of Chinese Yam Based on CRITIC Combined with Response Surface Methodology by Cong FU, Baoguo LI, Jun LI, Xiao WANG, Heng LU

“…Methods: The drying time, rehydration ratio (RR), color difference value, polysaccharide and total phenol content (TPC) were used as indicators to investigate the effects of different UHP pressure, holding time and drying temperature conditions on CY processing by single factor experiment, the weight coefficient of five indicators and the comprehensive score under different conditions were calculated by the CRITIC method, using the comprehensive score as the response value to optimize the processing technology of UHP pretreatment combined with HAD by response surface methodology. …”
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An Interpretable Model for Salinity Inversion Assessment of the South Bank of the Yellow River Based on Optuna Hyperparameter Optimization and XGBoost by Xia Liu, Yu Hu, Xiang Li, Ruiqi Du, Youzhen Xiang, Fucang Zhang

“…However, machine learning model training requires many samples and hyper-parameter optimization and lacks solvability. To compare the performance of different machine-learning models, this study conducted a soil sampling experiment on saline soils along the south bank of the Yellow River in Dalate Banner. …”
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Measurement and optimization paths of the multidimensional development levels of counties in the Yellow River Basin: based on the sustainable livelihoods framework by Lisha Cheng, Lisha Cheng, Li Ma, Jiajun Qiao, Jiajun Qiao, Xiaoyue Li

“…Based on this classification, targeted optimal development paths are proposed with a focus on the specific characteristics of different development types. …”
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Alert Reduction and Telemonitoring Process Optimization for Improving Efficiency in Remote Patient Monitoring Programs: Framework Development Study by Job van Steenkiste, Niki Lupgens, Martijn Kool, Daan Dohmen, Iris Verberk-Jonkers

“…In contrast, telemonitoring programs require a significant time investment for implementation and alert processing. A structured method for telemonitoring process optimization is lacking. …”
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Optimizing forest stand aggregation in fragmented stands using graph convolutional networks: A case study in Japan by YangYu You, Hyun Bae Kim, Takuyuki Yoshioka

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Optimizing Metro Passenger Flow Prediction: Integrating Machine Learning and Time-Series Analysis with Multimodal Data Fusion by Li Wan, Wenzhi Cheng, Jie Yang

“…In this paper, we propose a method that combines advanced machine learning with rigorous time series analysis to improve prediction accuracy by integrating different datasets, providing a prescriptive example for passenger flow prediction in urban rail transit systems. …”
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Advanced bearing fault detection at varying rotational speeds using PSO-optimized SVM and CDET feature selection by Hongxu Chai, Xiaoshi Ma, Feng Zhu, Yandong Hu

“…The outcomes demonstrate that specific features can effectively differentiate various bearing conditions at different speeds, highlighting the efficacy of the recommended approach compared to other fault detection methods.…”
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Optimizing Paediatric Paracetamol Dosing: Transitioning from Age-Based to Automated Weight-Based Calculations in Saudi Arabia by Amjad Alshammari, Almahaa Alshammari, Yosra AlJabran, Sharafaldeen Bin Nafisah

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Optimization of Parameters of Saline Sodium Citrate Buffer for Stability of Colloidal Gold Nanoparticles Used in DNA Hybridization Biosensor by Maksym Soboleskyi, Illia Holubiev, Andrii Lopatynskyi, Anton Samoylov, Glib Dorozinsky, Oleksandr Liapin, Roman Khrystosenko, Volodymyr Chegel, Sergiy Dzyadevych, Oleksandr Soldatkin

“…This study investigates the possibility of using gold nanoparticles (AuNPs) modified with thiolated oligonucleotides, 6-mercapto-1-hexanol, and lipoic acid as part of a hybridization system for biosensor detection of DNA sequences in order to improve its main analytical characteristics. Methods. A study of the colloidal stability of nanoparticles in SSC (saline sodium citrate) media of different multiplicity before and after modification was carried out in order to select the best environment for the operation of the biosensor system. …”
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Optimization of mathematical processing of calibration curves when determining molecular mass of biologicals by SDS-polyacrylamide gel electrophoresis by V. A. Tomilin, N. L. Ivanyutina, E. V. Elbert, R. A. Volkova

“…A third-order polynomial regression equation was used to optimize mathematical processing methods used during calculation of the calibration function. …”
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Optimizing Paediatric Paracetamol Dosing: Transitioning from Age-Based to Automated Weight-Based Calculations in Saudi Arabia by Amjad Alshammari, Almahaa Alshammari, Yosra AlJabran, Sharafaldeen Bin Nafisah

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Estimating the Railway Network Capacity Utilization with Mixed Train Routes and Stopping Patterns: A Multiobjective Optimization Approach by Zhengwen Liao, Haiying Li, Jianrui Miao, Lingyun Meng

“…With the ε-constraint method, we can obtain the Pareto front of saturated timetables, i.e., a set of nondominated optimized timetables that no more candidate train can be additionally scheduled. …”
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Enhanced Fault Diagnosis in Milling Machines Using CWT Image Augmentation and Ant Colony Optimized AlexNet by Niamat Ullah, Muhammad Umar, Jae-Young Kim, Jong-Myon Kim

“…The modified AlexNet architecture is particularly well-suited to identifying complex patterns associated with different fault types. The deep features are optimized using ant colony optimization to reduce dimensionality while preserving relevant information, ensuring effective feature representation. …”
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Developing a model of corona anxiety in students based on optimism and resilience: the mediating role of the perceived social support by Sanaz Eyni, Matineh Ebadi, Naghmeh Torabi

“…Results: Based on the results, the causal model confirmed the relationship between optimism, resilience, perceived social support and Corona anxiety in students based on different fitness indices. …”
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Multi-Objective Optimization Scheduling of a Wind–Solar Energy Storage Microgrid Based on an Improved OGGWO Algorithm by Dong Mo, Qiuwen Li, Yan Sun, Yixin Zhuo, Fangming Deng

“…Furthermore, Gaussian walk and Lévy flight are introduced to enhance the search capability of the proposed OGGWO algorithm. This method expands the search range while sacrificing only a small amount of search speed, contributing to obtaining the global optimal solution. …”
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