CausNet-partial: 'Partial Generational Orderings' based search for optimal sparse Bayesian networks via dynamic programming with parent set constraints. by Nand Sharma, Joshua Millstein

“…Our 'partial generational orderings' based method CausNet-partial is an efficient and scalable method for finding optimal sparse and small Bayesian networks from high dimensional data.…”
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In Silico Analysis of Immunogenic Epitopes in the VP2 Protein of Canine Parvovirus and Codon Optimization for Multivalent Vaccine Design by Hossein Samiei-Abianeh, Mahdi Tat, Masoumeh Bolandian, Seyed Akbar Arianzad, Jafar Salimian

“…This study aimed to design and optimize a recombinant vaccine based on conserved immunogenic regions of the VP2 protein from different CPV serotypes. …”
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A Comprehensive Review of Optimizing Multi-Energy Multi-Objective Distribution Systems with Electric Vehicle Charging Stations by Mahesh Kumar, Aneel Kumar, Amir Mahmood Soomro, Mazhar Baloch, Sohaib Tahir Chaudhary, Muzamil Ahmed Shaikh

“…This review provides an exhaustive review of various methods and scientific research previously undertaken to optimize the placement and dimensions of electric vehicle charging stations and distributed generation. …”
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Optimizing adjuvant strategies for sevoflurane-related emergence delirium: a Bayesian network meta-analysis in pediatric surgery by Chun-Jin Zhang, Hong Chen, Kang Zou, Xi Qu

“…ObjectiveTo compare the efficacy of different anesthetic adjuvants combined with sevoflurane across specific surgical sites using a Bayesian network meta-analysis.MethodsA systematic review was conducted, following PRISMA guidelines, including 100 randomized controlled trials (RCTs) involving 8,800 pediatric patients undergoing various surgeries. …”
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Optimizing Air Quality Monitoring: Comparative Analysis of Linear Regression and Machine Learning in Low-Cost Sensor Calibration by Runcheng Fang, Scott Collingwood, Yue Zhang, Joseph B. Stanford, Christina Porucznik, Darrah Sleeth

“…This study compares linear regression (LR) and machine learning (ML) techniques, particularly random forest (RF), to determine optimal calibration strategies. Objectives This study aims to compare the effectiveness of LR and RF models in calibrating the Plantower PMS 3003 sensor under different environmental conditions. …”
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Harmonized Integration of GWO and J-SLnO for Optimized Asset Management and Predictive Maintenance in Industry 4.0 by A. N. Arularasan, P. Ganeshkumar, Mohammad Alkhatib, Tahani Albalawi

“…The study encompasses the application of two different advanced optimization algorithms on asset management and predictive maintenance in Industry 4.0—Grey Wolf Optimization and Jaya-based Sea Lion Optimization (J-SLnO). …”
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Performance evaluation of inset feed microstrip patch antenna parameters with different substrate materials for 5G wireless applications by Kebbekoppalu Shrinivasa Praveena, M Patil Chandrashekar

“…The proposed method uses a new hybrid GA-PSO algorithm with Dynamic Adaptive Mutation and Inertia Control (DAMIC). …”
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Harvesting Optimization, Biomass, and Lipid Content Analysis of Euglena sp. Culture with Ettlia texensis Bioflocculant and Commercial Chitosan by Eko Agus Suyono, Siti Mudrikah, Khalid Erlangga Karilanata, Dedy Kurnianto, Arief Budiman, Nugroho Dewayanto, Renata Adaranyssa Egistha Putri, Brilian Ryan Sadewo, Tia Erfianti

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Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization by Hamid Sabbaghi, Nader Fathianpour

“…In this study, Harris hawks optimization (HHO) algorithm was employed to optimize known hyperparameters of the random forest (RF) method for detecting multi-element geochemical anomalies related to mineralization occurrences in the Feyzabad district of the Razavi Khorasan province, NE Iran. …”
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Optimizing carbon nanoparticle staining for sentinel lymph nodes in rabbit lower limb models: concentration and time dependence by Narbol Kylyshbek, Heng Wang, Shuning Feng, Yuxin Zhang, Dong Dong, Wangjaleoseop Han, Ayidana Ayoujiang, Liang Chen, Tianyi Liu

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Optimizing thermal performance in air-cooled Li-ion battery packs with vortex generators for cleaner energy storage by Bonashree Gogoi, Hiranya Deka, Bhaskor Jyoti Bora, Prabhu Paramasivam, Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Abdul Razak, Anteneh Wogasso Wodajo

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Streptomyces griseorubens as a microbial cell factory for extracellular uricase production and bioprocess optimization using statistical approach by Noura El-Ahmady El-Naggar, Sara M. El-Ewasy, Nancy M. El-Shweihy

“…Methods Streptomyces sp. strain NEAE-5 demonstrated a significant capacity for uricase production was identified based on the physiological, morphological and biochemical characteristics, as well as 16S rDNA sequencing analysis. …”
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Mitigating water shortages and enhancing food security through crop optimization: Insights from the Eastern Nile Delta by Heba F. Abdelwahab, Abdelazim M. Negm, Elsayed M. Ramadan, Alban Kuriqi, Ismail Abd-Elaty

“…Additionally, the study aimed to identify gaps in knowledge that require further research and to illustrate the different types of models used to optimize water resources management and maintain food security. …”
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The immunogenic potential of an optimized mRNA lipid nanoparticle formulation carrying sequences from virus and protozoan antigens by Renata S. Fernandes, Gabriela de Assis Burle-Caldas, Sarah Aparecida Rodrigues Sergio, Ana Flávia Bráz, Nathália Pereira da Silva Leite, Milton Pereira, Juliana de Oliveira Silva, Natália Satchiko Hojo-Souza, Bianca de Oliveira, Ana Paula S. Moura Fernandes, Flávio Guimarães da Fonseca, Ricardo Tostes Gazzinelli, Diego dos Santos Ferreira, Santuza M. Ribeiro Teixeira

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Topology Optimization of the Bracket Structure in the Acquisition, Pointing, and Tracking System Considering Displacement and Key Point Stress Constraints by Bo Gao, Hongtao Yang, Weining Chen, Hao Wang

“…This paper adopts the Solid Isotropic Material with Penalization (SIMP) method to investigate the structural topology optimization of the L-shaped bracket in the APTS, aiming to minimize structural compliance while using volume, key point displacement, and maximum stress as constraints. …”
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Numerical Simulation and Optimization of Water Hammer Protection Schemes for Long-Distance Gravity-Pressurized Water Conveyance Systems by HUANG Wei, LIAO Chen-xi, HUANG Xin, GU Ping, LIU Bin, HUANG Zi-yang

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A hierarchical time-varying optimization algorithm for Photovoltaic-energy storage to suppress three-phase imbalances in active distribution networks by Xingxu Zhu, Jiyu Wang, Haozheng Yu, Jie Ma, Junhui Li, Cuiping Li

“…First, an evaluation index of three-phase voltage unbalance is established, and a time-varying optimization model of the distribution network that includes three-phase unbalance constraints is developed by taking into account the regulation of photovoltaic (PV) and energy storage systems; second, a time-varying optimization method for distribution networks based on voltage measurement feedback is designed, in this method, the sensitivity of PV and energy storage regulation to mitigate three-phase imbalance is calculated based on voltage measurements, the sensitivity related to the three-phase imbalance is decoupled at the boundaries of different zones within the distribution network, this sensitivity can be obtained by combining voltage measurement feedback from within the zones and information exchange between zones; finally, the results are iteratively refined using the distribution network information obtained through measurements, this iterative process achieves a time-varying optimization tracking effect that suppresses three-phase imbalance. …”
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Optimizing Parathyroid Preservation in Thyroidectomy: The Burjeel Protocol Utilizing Intraoperative Indocyanine Green Near-Infrared Fluorescence Imaging by Iyad Hassan, Lina Hassan, Mohamad Askar, Rawan Khalid Salih

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Towards Automated Quality Control in Industrial Systems: Developing Markov Decision Process Model for Optimized Decision-Making by Katerina Mitkovska-Trendova, Robert Minovski, Verica Bakeva, Simeon Trendov, Dimitar Bogatinov

“…The research methodology leverages advanced data analytics, statistical modeling, and real-time monitoring to accurately estimate transition probabilities and optimize policies. Different MDP models and methods are explored to enhance adaptability and iterative learning, allowing for optimal policy refinement over time. …”
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Optimizing the sequential approach of combined phacoemulsification and gonioscopy-assisted transluminal trabeculotomy (GATT) in primary open-angle glaucoma by Shaoyang Zhang, WenJing He, Peng Lu, Fan Xu, Haibin Zhong, Shan Zhong, Li Jiang

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