Values of lymphocyte-related ratios in predicting the clinical outcome of acute ischemic stroke patients receiving intravenous thrombolysis based on different etiologies by Yongyu Li, Keyang Chen, Lu Wang, Linhu Zhao, Chunyan Lei, Yu Gu, Xiaoyan Zhu, Qionghua Deng

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Development of a Financing Optimization Framework Based on Risk Simulation in BOT Projects: A Case Study of the Waste-to-Energy Project by D. Yaghubi, M. Doroodian, M. A. Adibi

“…Considering that the public sector transfers all or part of its financial risk to the private sector (contractors), in this type of contract, the distribution of risks is different from that of traditional contracts. Besides, project implementation methods and the lack of risk management might lead to the failure of the project. …”
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Carbon Footprint Assessment in Shrimp Pond Farming of Penaeus vannamei Based on Life Cycle Assessment Methods by Yunfei WANG, Xinmeng WANG, Ying LI, Jinzhen YU, Jie KONG, Jihong ZHANG

“…Existing research analysis indicates that the carbon footprint of 1 kg of P. vannamei farmed year-on-year with different farming methods are in the following order: large surface culture (5.60 kgCO2e) < small shed culture (18.25 kgCO2e) < semi-intensive ponds (52.3 kgCO2e) < factory farming (198 kgCO2e). …”
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Individual tree segmentation of airborne and UAV LiDAR point clouds based on the watershed and optimized connection center evolution clustering by Yi Li, Donghui Xie, Yingjie Wang, Shuangna Jin, Kun Zhou, Zhixiang Zhang, Weihua Li, Wuming Zhang, Xihan Mu, Guangjian Yan

“…Firstly, the amount of data is greatly reduced by mean shift voxelization. Then, the optimal clustering scale is automatically determined by the shapes in the projection of three different directions. …”
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Clinical and cost-effectiveness of detailed anomaly ultrasound screening in the first trimester: a mixed-methods study by Jehan N Karim, Helen Campbell, Pranav Pandya, Edward C F Wilson, Zarko Alfirevic, Trish Chudleigh, Elizabeth Duff, Jane Fisher, Hilary Goodman, Lisa Hinton, Christos Ioannou, Edmund Juszczak, Louise Linsell, Heather L Longworth, Kypros H Nicolaides, Anne Rhodes, Gordon Smith, Basky Thilaganathan, Jim Thornton, Gillian Yaz, Oliver Rivero-Arias, Aris T Papageorghiou

“…There were important differences seen between the services offered across different geographical regions of the UK, resulting in inequity of care. …”
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OptiASAR: Optimized Aspect-Based Sentiment Analysis of Reviews With BiLSTM-GRU and NER-BERT in Healthcare Decision-Making by Divanshu Singh, Sunita Shivprakash Barve, Amit Krishna Dwivedi

“…Traditional sentiment analysis methods may not capture the diverse aspects and often miss these subtleties. …”
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Distributed denial-of-service (DDoS) on the smart grids based on VGG19 deep neural network and Harris Hawks optimization algorithm by Abdurahim Alhashmi, H. Idwaib, Selçuk Alparslan Avci, Javad Rahebi, Raheleh Ghadami

“…This paper presents an effective method for identifying smart grid DDoS attacks by introducing the use of the deep neural network VGG19 combined with the Harris Hawks Optimization Algorithm (HHO). …”
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Prediction method of TBM excavation axis deviation for small turning tunnels based on LSTM neural network by Lijie DU, Hongda HAO, Qingwei LI, Yalei YANG, Weidong ZHANG, Jiayi LIU, Hongchao FENG

“…Taking the horizontal deviation as an example, the TBM tunneling axis deviation is predicted. Then, the different structures of the model are analyzed. Different LSTM layers and different number of neurons are selected to form a new model structure, and the optimal model structure and optimal input time periods of different prediction time are determined. …”
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Optimizing the High-Quality Embryo Rate in Couples With Male Factor Infertility: Insights From Predictive Modeling and Causal Effect Estimations by Qingxin Wang, Xiaoli Sun, Lingna Peng, Xiaoling Gu, Yannan Chen, Minyan Yu, Jian Song, Quan Yuan

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Development of IIOT-Based Pd-Maas Using RNN-LSTM Model with Jelly Fish Optimization in the Indian Ship Building Industry by PNV Srinivasa Rao, PVY Jayasree

“…Sometimes industries lack productivity and lack of modernization some modern methods should be followed.   The study focuses on the optimization of predictive maintenance as a service on the industrial Internet of Things by machine learning algorithms. …”
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Optimized Modeling Strategies for the Parametrization of a Two-Parameter Friction Model Through Inverse Modeling of Conical Tube-Upsetting Tests by Michel Henze, Lena Koch, David Bailly, Marco Teller, Gerhard Hirt

“…Complex models for the numerical description of friction often have two or more model parameters but lack appropriate calibration methods since calibration schemes developed for one-parameter models are not applicable. …”
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Recent advances in microalgae-driven carbon capture, utilization, and storage: Strain engineering through adaptive laboratory evolution and microbiome optimization by Zhongshi He, Jing Wang, Yantao Li

“…In this study, we provide a comprehensive overview of the latest advancements in ALE and microbiome optimization of microalgae for CCUS across different carbon emission scenarios, including flue gas, biogas, wastewater, and landfill leachate. …”
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Optimizing Fresh-Cut Apple (Malus sylvestris (L.) Mill.) Quality Through Combination of Sodium Alginate and Calcium Chloride Coatings by Maharani Retna Duhita, Muhammad Khairul Ikhsan

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An interval Type-2 fuzzy Fractional-Order PD-PI controller for frequency stabilization of islanded microgrids optimized with CO algorithm by Siavash Shirali, Saeed Zolfaghari Moghaddam, Mortaza Aliasghary

“…Different scenarios are considered in which the effect of the proposed controller on network frequency changes has been compared with two other controllers, i.e., interval type-2 fuzzy fractional-order tilt integral derivative (IT2FFOTID) and interval type-2 fuzzy fractional-order proportional integral derivative (IT2FFOPID) using several optimization methods. …”
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Optimizing Cocoa Productivity Through Soil Health and Microbiome Enhancement: Insights from Organic Amendments and a Locally Derived Biofertilizer by Jennifer E. Schmidt, Julia Flores, Luigy Barragan, Freddy Amores, Sat Darshan S. Khalsa

“…Complementary culture-dependent and culture-independent methods were used to assess the impacts of amendments on microbial diversity, community composition, and specific taxa. …”
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Development, Optimization, and Validation of a Quantitative PCR Assay for <i>Borrelia burgdorferi</i> Detection in Tick, Wildlife, and Human Samples by Julie Lewis, Vett K. Lloyd, Gilles A. Robichaud

“…This PCR-based direct detection assay performs well for the detection of <i>Borrelia</i> in different biological samples. Advancements in detection methods lead to a better surveillance of <i>Borrelia</i> in vectors and hosts, and, ultimately, enhance human and animal health.…”
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Classification of fashion e-commerce products using ResNet-BERT multi-modal deep learning and transfer learning optimization. by In-Jae Seo, Yo-Han Lee, Beakcheol Jang

“…Precise category matching is important for increasing sales through search optimization and accurate product exposure. However, manually correcting registered categories is time-consuming and costly for platform managers. …”
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Different interventions to prevent preterm birth in pregnant women with cervical shortening during pregnancy: a protocol for a network meta-analysis by Dan Liu, Jiefeng Luo, Jiyong Liu

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Accuracy assessment of land surface temperature retrievals from remote sensing imagery: pixel-based, single and multi-channel methods by A Sediyo Adi Nugraha, Muhammad Kamal, Sigit Heru Murti, Wirastuti Widyatmanti

“…Land Surface Temperature (LST) measurements using remote sensing data are conducted using various methods, including the Single Channel Method (SCM) and the Multi-Channel Method (MCM). …”
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Identifying optimal primary prevention interventions for major cardiovascular disease events and all-cause mortality: a systematic review and hierarchical network meta-analysis of... by Olalekan A Uthman, Rachel Court, Jodie Enderby, Chidozie Nduka, Lena Al-Khudairy, Seun Anjorin, Hema Mistry, G J Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

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