Simultaneous multi-objective optimization method for trading indicators by Nhat M. Nguyen, Minh Tran

“…Our findings prove that the multi-objective Particle Swarm Optimization method efficiently balances the complexity to combine various technical indicators in a way that keeps the logic of the strategy simple. …”
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A Swarm-Based Multi-Objective Framework for Lightweight and Real-Time IoT Intrusion Detection by Hessah A. Alsalamah, Walaa N. Ismail

“…However, the high dimensionality, class imbalance, and complexity of network traffic—combined with the dynamic nature of sensor networks—pose substantial challenges to the development of efficient and effective detection algorithms. …”
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Danishefsky’s Diene vs Rawal’s Diene in [4+2] Hetero-Diels-Alder Reactions with Aldehydes by Oleksii I. Shamrai, Evgenij V. Zarudnitskii

“…Experimental results for eight aldehyde substrates have revealed key differences in their efficiency and scalability. The data obtained emphasize the complementary nature of DD and RD in synthetic applications, providing valuable recommendations for optimizing diene selection in complex organic transformations.…”
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SciBERT Optimisation for Named Entity Recognition on NCBI Disease Corpus with Hyperparameter Tuning by Abu Salam, Syaiful Rizal Sidiq

“…Named Entity Recognition (NER) in the biomedical domain faces complex challenges due to the variety of medical terms and their context of use. …”
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Reimagining biofiltration for sustainable industrial wastewater treatment by Abhijeet Das, Satchidananda Mishra

“…The paper critically evaluates their mechanistic underpinnings, design principles, and pollutant removal efficiencies across varied industrial contexts. Key operational parameters such as media selection, hydraulic loading, biofilm dynamics, and system maintenance are discussed in detail. …”
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Reliability analysis of passive residual heat removal system for large advanced pressurized water reactors by Tianrui Li, Xinkun Xiao, Guoqing Lu, Shikang Chen, Ronghua Chen, Wenxi Tian

“…An artificial neural network is employed as a surrogate model for complex thermal-hydraulic calculations, significantly improving analysis efficiency. …”
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Multi-period supply chain optimization with contango and backwardation effects using an improved hybrid genetic algorithm by Mudassar Rauf, Muhammad Imran, Jabir Mumtaz, Saima Javed, Ayesha Saeed

“…The results highlight optimal supplier selection and order allocations for each period, and performance comparisons reveal that the IHGA outperforms traditional algorithms in terms of cost efficiency, computational time, and convergence behavior.…”
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FBG-Based Weak Coherent State and Entanglement-Assisted Multidimensional QKD by Ivan B. Djordjevic

“…Regarding the WCS protocols, random base selection and FGB-MUB-based protocols are introduced. …”
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Transfer Reinforcement Learning-Based Power Control for Anti-Jamming in Underwater Acoustic Communication Networks by Liejun Yang, Yi Chen, Hui Wang

“…Simulation results demonstrated that the proposed method significantly enhanced the anti-jamming performance and communication efficiency of underwater acoustic communication even in complex interference scenarios.…”
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Prospects for 3D Bioprinting Research and Transdisciplinary Application to Preclinical Animal Models by HU Min, DONG Lexuan, GAO Yi, XI Ziqi, SHEN Zihao, TANG Ruiyang, LUAN Xin, TANG Min, ZHANG Weidong

“…It starts by detailing the essential elements of 3D bioprinting, including the selection and functional design of biomaterials, along with an explanation of the principles and characteristics of various printing strategies, highlighting the advantages in constructing complex multicellular spatial structures, regulating microenvironments, and guiding cell fate. …”
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Encapsulation of menthol by cyclodextrins-comparison between experiments and molecular simulations by Sa Xu, Fang Wei, Ximing Xu, Rui Wang, Xiujuan Xu, Wu Fan, Guobi Chai, Qidong Zhang, Qingzhao Shi

“…The experimental results revealed that β-CD exhibited the optimal encapsulation efficiency (EE, 36.54%) on menthol, subsequently, γ-CD showed a 33.35% EE value, whereas α-CD was unable to form an inclusion complex (IC) with menthol. …”
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Tuberculous abdominal aortic aneurysm: Management and outcomes by Sree Vani Paladugu, MS, Ajay Savlania, MCh, Gokulkrishnan Hari, MS, Tanuj Singla, MS, Shreyas Srinivasan, MBBS, Ujjwal Gorsi, DM, Mustafa Razi, MD, Pradeep Burli, MD, Prem Chand Gupta, MS

“…Patient status at presentation, the complexity of surgical reconstruction, and the possibility of performing efficient surgical debridement influence the selection of various therapeutic strategies. …”
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Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images by Chi-en Amy Tai, Elizabeth Janes, Chris Czarnecki, Alexander Wong

“…Future work of this research includes iterating on the design of the selected network architecture and refining the approach to generalize to other forms of cancer.…”
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Optimization of chlorophyll extraction from mulberry leaves using response surface methodology by CHEN Shao-yuan, LÜ Zhen-er, DONG Feng-li, MAO Bi-zeng

“…Response surface methodology (RSM) is an effectively statistical technique for optimizing complex processes. The greatest advantage of RSM is that we need fewer experimental trials. …”
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Acoustic spectra processing for the determination of cavitation threshold in a high-frequency sonoreactor in water and PEG mixtures from 1 to 54 mPa.s by V. Avramovic, L. Hallez, C. Inserra, J-Y Hihn

“…The study of sonochemical activity and efficiency in a high frequency reactor (575 kHz) provides an opportunity to take an interest in the step-by-step implementation of a hydrophone measurement, from selection of the device to recording procedures, and especially signal processing with selection and extraction of the two most relevant probes: 3F0/2 magnitudes useful for detecting stable cavitation and cumulative integration of broadband noise and its interpretation (slope discontinuity) to get an indication of transient cavitation appearance. …”
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Analysis of financial and economic indicators, characterizing the activities of organizations in the oil and gas industry by L. A. Chaldaeva, T. I. Chinaeva, A. S. Bogopolskiy

“…The analysis of a number of indicators, characterizing the financial activities of organizations of the oil and gas complex was carried out, the totality of oil producing organizations based on the SPARK database was selected, and a comparative analysis of the financial activities of two organizations of the oil and gas complex was carried out.Conclusion. …”
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Recursive Method in Modal Parameter Identification of Aerospace Structures under Non-Gaussian Noise by Lei Yu, Yong-li Zhang, Meng-di Yuan, Rui-qing Liu, Qi Zhang

“…The kernelized time-dependent autoregressive moving average (TARMA) model is adopted to model the nonstationary responses, a recursive estimator is established based on the maximum correntropy criterion, and sliding-window technique is applied to fix the computational complexity, which ensures the approach its estimation accuracy, robustness, and high efficiency. …”
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Optimizing Particle Density for Accurate Wave Simulation: A Comparative Study of Non-Breaking and Breaking Wave Conditions by Thi-Quynh Nguyen, Kyong-Hwan Kwon, Chang-Wook Park, Kwang-Ho Lee

“…Simulations were conducted using various particle densities, or particles per wavelength, to evaluate their impact on simulation accuracy and computational efficiency. In tests involving regular, non-breaking waves, particle densities in the range of <i>np per L</i> = 560 to 800 were found to provide satisfactory accuracy and computational efficiency. …”
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A Proposal for a New Python Library Implementing Stepwise Procedure by Luiz Paulo Fávero, Helder Prado Santos, Patrícia Belfiore, Alexandre Duarte, Igor Pinheiro de Araújo Costa, Adilson Vilarinho Terra, Miguel Ângelo Lellis Moreira, Wilson Tarantin Junior, Marcos dos Santos

“…Carefully selecting variables in problems with large volumes of data are extremely important, as it reduces the complexity of the model, improves the interpretation of the results, and increases computational efficiency, ensuring more accurate and relevant analyses. …”
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Behavioral Biases in Investor Decision-Making: A Comparative Meta-Analysis of Behavioral Finance Research by Seyed Amir Sabet, Saeed Aibaghi esfahani, Abdolmajid Abdolbaghi Ataabadi

“…This study conducts a meta-analysis of 61 empirical studies (24 domestic, 37 international) to compare the effects of 12 prominent behavioral biases, selected based on their prevalence and diversity in the literature. …”
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