Comparative study of conventional and process intensification by reactive distillation designs for glycerol carbonate production from glycerol and diethyl carbonate by Bushra Chalermthai, Chayanin Sriharuethai, Bradley D. Olsen, Kanokwan Ngaosuwan, Apinan Soottitantawat, Suttichai Assabumrungrat, Pongtorn Charoensuppanimit

“…In both cases, the process optimizations were carried out by connecting the process models in Aspen Plus to MATLAB, using the Genetic Algorithm as the optimizer. The results showed that Case II was superior to Case I in terms of energy utilization, CO2 emissions, and economics with the specific energy consumption of 1.92 kWh/kg of diethyl carbonate, % internal rate of return of 274, payback period of 1.44 years, and CO2 emissions of 0.26 kg CO2/kg DEC. …”
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Task-Driven Computing Offloading and Resource Allocation Scheme for Maritime Autonomous Surface Ships Under Cloud–Shore–Ship Collaboration Framework by Supu Xiu, Ying Zhang, Hualong Chen, Yuanqiao Wen, Changshi Xiao

“…Compared with other analogy methods, the proposed algorithm can reduce the task processing delay by at least 15.7% and the task processing energy consumption by 15.4%.…”
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Multilayer Shielding Design for Intermediate Radioactive Waste Storage Drums: A Comparative Study between FLUKA and QAD-CGA by Wenqian Li, Xuegang Liu, Ming Li, Yilin Huang, Sheng Fang

“…In QAD-CGA calculation, it was found that different buildup factors can lead to the considerably different results. A weighted algorithm was proposed to correct QAD-CGA for multilayer shielding cases. …”
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An effective electrocardiogram segments denoising method combined with ensemble empirical mode decomposition, empirical mode decomposition, and wavelet packet by Yaru Yue, Chengdong Chen, Xiaoyuan Wu, Xiaoguang Zhou

“…Furthermore, the signal‐to‐noise ratio (SNR), mean square error (MSE), root mean square error (RMSE), and normalised cross correlation coefficient (R) are used to evaluate the noise reduction algorithm. The mean SNR, MSE, RMSE, and R are 5.7427, 0.0071, 0.0551, and 0.9050 in the China Physiological Signal Challenge 2018 dataset. …”
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Yield of TB screening in prisons in Tajikistan by S. Moe, M. Asozoda, A. Aung, Z. Dusmatova, F. Akintore, E. Nshimiyimana, A. Zavqibekov, N. Sitali, W.K. Mulanda, T. Cullip, A. Sinha

“…METHODS: A systematic TB screening was conducted between July 2022 and September 2023, following a locally adapted algorithm based on WHO recommendations. The screening yield was calculated as the proportion of confirmed TB cases, with categorical variables compared using a χ 2 test. …”
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Effects of on-Board Unit on Driving Behavior in Connected Vehicle Traffic Flow by Xin Chang, Haijian Li, Jian Rong, Zhufei Huang, Xiaoxuan Chen, Yunlong Zhang

“…Considering the car-following related indicators, the k-Means algorithm was used to categorize different car-following modes. …”
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Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images by Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen

“…This study investigates an improved codebook model for the fined-grained medical image representation with the following three advantages: (1) instead of SIFT, we exploit the local patch (structure) as the local descriptor, which can retain all detailed information and is more suitable for the fine-grained medical image applications; (2) in order to more accurately approximate any local descriptor in coding procedure, the sparse coding method, instead of K-means algorithm, is employed for codebook learning and coded vector calculation; (3) we evaluate retrieval performance of focal liver lesions (FLL) using multiphase computed tomography (CT) scans, in which the proposed codebook model is separately learned for each phase. …”
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Mass, Luminosity, and Stellar Age of Early-type Stars from the LAMOST Survey by Qida Li, Jianping Xiong, Jiao Li, Yanjun Guo, Zhanwen Han, Xuefei Chen, Chao Liu

“…In this paper, we use random forest in combination with the evolutionary grid from PARSEC 1.2S to determine M , L , t , and initial mass ( M _i ) for early-type main-sequence stars ( T _eff ≥ 7000 K) as identified from the LAMOST survey. The convex hull algorithm is employed to select the main-sequence stars. …”
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Development of a fixed-order $$H_{\infty }$$ controller for a robust P&O-MPPT strategy to control poly-crystalline solar PV energy systems by Moussa Sedraoui, Mohcene Bechouat, Ramazan Ayaz, Yahya Z. Alharthi, Abdelhalim Borni, Layachi Zaghba, Salah K. ElSayed, Yayehyirad Ayalew Awoke, Sherif S. M. Ghoneim

“…The proposed robust control strategy involves two stages: first, modifying the standard Perturb and Observe (P&O) algorithm to generate an optimal reference voltage using real-time measurements of temperature, solar irradiance, and wind speed. …”
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ARES: A Parallel Discrete Ordinates Transport Code for Radiation Shielding Applications and Reactor Physics Analysis by Yixue Chen, Bin Zhang, Liang Zhang, Junxiao Zheng, Ying Zheng, Cong Liu

“…ARES uses the Koch-Baker-Alcouffe parallel sweep algorithm to obtain high parallel efficiency. Verification and validation for the ARES transport code system have been done by lots of benchmarks. …”
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Olive Oil Total Phenolic Contents and Sensory Sensations Trends during Oven and Microwave Heating Processes and Their Discrimination Using an Electronic Tongue by Rafaela Prata, José A. Pereira, Nuno Rodrigues, Luís G. Dias, Ana C. A. Veloso, Susana Casal, António M. Peres

“…Finally, the potentiometric electronic tongue together with linear discriminant analysis-simulated annealing algorithm allowed satisfactory discrimination (sensitivities of 94±4%, for repeated K-fold cross-validation) of olive oils subjected to intense microwave heating (5–10 min, 160–205°C) from those processed under usual cooking conditions (oven heating during 15–60 min or microwave heating during 1.5–3 min, 72–165°C). …”
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Real world pharmacovigilance assessment of drug related macular degeneration risks by Xiaodong Chen, Shinan Wu, Shaopan Wang, Chaofeng Yu, Zihan Guo, Shiya Huang, Peixin Cai, Yanliang Miao, Shiying Li, Qian Chen

“…Among these, 42 drugs were linked to significant risks, including treatments for breast cancer (tamoxifen, raloxifene, anastrozole, letrozole) and diabetes (insulin lispro, insulin human). The BCPNN algorithm revealed that 45.2% (19/42) of these drugs had the strongest associations with macular degeneration, with pentosan polysulfate sodium, travoprost, and tolterodine being the highest-risk drugs. …”
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Modeling and Identification of Electromagnetic Actuator for the Control of Rotating Machinery by T.S. Morais, J. Der Hagopian, V. Steffen Jr., J. Mahfoud

“…The identification is carried out by using a pseudo-random search algorithm. The model of the system is then assessed for different configurations. …”
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Hybrid GNSS time-series prediction method based on ensemble empirical mode decomposition with long short-term memory by Yu Zhou, Xiaoxing He, Shengdao Wang, Shunqiang Hu, Xiwen Sun, Jiahui Huang

“…To address the shortcomings of traditional GNSS time series prediction methods including insufficient feature selection, limited stability, and low predictive accuracy, this paper proposes a prediction model that combines the Ensemble Empirical Mode Decomposition (EEMD) with Long Short-Term Memory (LSTM) algorithm. The model utilizes the EEMD method to obtain reconstructed signals, which are then input as features into the LSTM model to predict the original time series. …”
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Comparative analysis of neural network models performance on low-power devices for a real-time object detection task by A. Zagitov, E. Chebotareva, A. Toschev, E. Magid

“…The experiments demonstrated that an appropriate algorithm selection depends on task requirements. We recommend EfficientDet Lite 512×512 quantized or YoloV7 Tiny for tasks that require around 2 FPS, EfficientDet Lite 320×320 quantized or SSD Mobilenet V2 320×320 for tasks with over 10 FPS, and EfficientDet Lite 320×320 or YoloV5 320×320 with QAT for tasks with intermediate FPS requirements.…”
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Bioinformatics analysis and identification of underlying biomarkers potentially linking allergic rhinitis and autophagy by Tao Zhou, Hua Cai, Lisha Wu, Jianjun Chen, Liuqing Zhou, Jun Liu

“…A PPI network of differentially expressed autophagy-related genes were established and further identified through the CytoHubba algorithm. A receiver operating characteristic curve analysis was employed to evaluate the diagnostic effectiveness of the hub genes and to examine the relationship between autophagy-related genes and AR. …”
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Influence of the Decelerator Grid on the Optical Performance of the Ion Thruster by Chang Lu, Yide Zhao, Jie Wan, Yuchuan Chu, Liang Zheng, Yong Cao

“…In this paper, a three-dimensional Immersed Finite Element Method-Particle in Cell-Monte Carlo Collision (IFE-PIC-MCC) algorithm was adopted to investigate the effect of the decelerator grid on the optical performance under crossover and normal circumstances. …”
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Comparative Analysis of Re-Identification Methods of Multi-Criteria Decision Analysis Models by Bartlomiej Kizielewicz, Jakub Wieckowski, Bogdan Franczyk, Jaroslaw WaTrobski, Wojciech Salabun

“…Secondly, we developed several extensions of the Stochastic Identification of Weights (SITW) algorithm. These methods were evaluated against a benchmark comprising four selected MCDA techniques. …”
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A spatiotemporal distribution prediction model for electric vehicles charging load in transportation power coupled network by Xiaolong Yang, Jingwen Yun, Shuai Zhou, Tek Tjing Lie, Jieping Han, Xiaomin Xu, Qian Wang, Zeqi Ge

“…First, path planning is performed separately using the Dijkstra algorithm and refined origin-destination (OD) probability matrix based on the travel characteristics of various vehicle types. …”
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Implementing E-MOTIVE for detection and treatment of postpartum haemorrhage in South Africa by M Singata-Madliki, S Fawcus, N Moran, E Arends, E Muller, S Mandondo, G J Hofmeyr

“…E-MOTIVE was integrated into the existing Essential Steps in Managing Obstetric Emergencies algorithm. Certain research-related elements of the trial setting cannot be replicated in routine practice. …”
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