New forgery attack on the authenticated cipher SCREAM and iSCREAM by Yu-dan TIAN, Yong-zhuang WEI

“…Authentication encryption algorithms have been widely used in networks security system since these al-gorithms can efficiently provide both privacy and integrity measurement for data transmission. …”
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Preprocessing optimization algorithm based on partial channel information feedback in wideband OFDM systems by WANG Xia1, ZHANG Guo-mei1, XUE Tao2

“…To mitigate inter-block interference（IBI） and inter-carrier interference（ICI） in an orthogonal frequency divi-sion multiplexing（OFDM） system,pre-processing approaches at transmitters based on full channel state information（CSI） had been proposed,the performance improved and receiver simplied.However,feeding full CSI back would oc-cupy scarce bandwidth and was impractical sometimes for the systems with high real-time demand.To deal with this problem,a preprocessing optimization based on partial CSI feedback was investigated and three selected preprocessing approaches of optimization matrix were developed and tested.Computer simulation results showed that the proposed op-timization algorithm can effectively cancel IBI and ICI and significantly improve the performance in wideband OFDM systems.Compared with the pre-processing approaches at transmitters based on full CSI,under the condition of meeting the demand for quality of services（QoS）,the proposed scheme has high spectral efficiency and low feedback and com-putation complexity.…”
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Optimization Techniques for Low-Level Control of DC–AC Converters in Renewable-Integrated Microgrids: A Brief Review by Guilherme Vieira Hollweg, Gajendra Singh Chawda, Shivam Chaturvedi, Van-Hai Bui, Wencong Su

“…The optimization of low-level control for DC–AC power converters is crucial for enhancing efficiency, stability, and adaptability in modern power systems. …”
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SPBO-ANFIS Model of Combined Monthly Runoff Forecasting Based on Singular Spectrum Analysis by ZHANG Yajie, CUI Dongwen

“…In view of the multi-scale non-stationarity and other characteristics of monthly runoff in hydrological time series,this paper proposes a singular spectrum decomposition (SSD)-based model of combined monthly runoff forecasting that integrates the student psychology based optimization (SPBO) algorithm with the adaptive network based fuzzy inference system (ANFIS),namely the SSD-SPBO-ANFIS model.This model is then applied to the monthly runoff forecasting at a hydrological station in Yunnan Province.Specifically,time series data of sample monthly runoff are decomposed into various independent sub-series components through SSD to reduce the complexity of the time series data;then,the principle of the SPBO algorithm is outlined,and eight standard functions are selected for simulation verification and comparison of the SPBO algorithm;finally,the SPBO algorithm is employed to optimize the ANFIS condition and conclusion parameters.The SSD-SPBO-ANFIS model is built to forecast each sub-series,which is then superimposed to obtain the final monthly runoff forecasting result.In addition,the results of the proposed model are compared with those of the ensemble empirical mode decomposition (EEMD)-based EEMD-SPBO-ANFIS model and the SPBO-ANFIS model without decomposition.The following observations can be made from the results:The SPBO algorithm has favorable optimization accuracy;with a mean absolute percentage error of 5.57%,a mean absolute error of 0.20 m³/s,a Nash coefficient of 0.994 8,and a pass rate of 96.7%,the SSD-SPBO-ANFIS model has an effect better than that of the EEMD-SPBO-ANFIS model and far better than that of the SPBO-ANFIS model in forecasting sample monthly runoff.The proposed model and method can provide references for related research on hydrological time series forecasting.…”
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THE SCIENTIFIC AND METHODOLOGICAL ASPECTS OF THE PROBLEM OF MIGRATION PROCESSES MODELING IN THE SUBJECTS OF THE RUSSIAN FEDERATION by R. V. Fattakhov, M. M. Nizamutdinov, V. V. Oreshnikov

“…The complexity and diversity of the processes of spatial mobility of the population make forecasting of those processes one of the most difficult in practical terms. …”
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Effect of Enzyme on Chromed Leather Dyeing With Acidic Dyes by Renata Biškauskaitė-Ulinskė, Virgilijus Valeika

“…Leather dyeing is a difficult task due to its heterogeneity and complexity. Several studies are aimed at improving the effectiveness of dyeing, including process optimization, use of dye auxiliaries, ultrasound, liposomes, and enzymes. …”
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Recent Advances in Understanding the Keys Factors Influencing Pressurized Liquid Extraction of Secondary Metabolites: A Comprehensive Review by Pauline Donn, Sepidar Seyyedi-Mansour, Franklin Chamorro, Paula Garcia-Oliveira, Javier Echave, Ana Perez-Vazquez, Paula Barciela, Lucia Cassani, Miguel Angel Prieto

“…This communication provides an overview of recent advancements in understanding the key factors influencing the efficiency and selectivity of the PLE of these bioactive compounds. …”
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Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms by Shangmei Cao, Shaozhe Yang, Bolin Chen, Xixia Chen, Xiuhong Fu, Shuifu Tang

“…Context Four algorithms with relatively balanced complexity and accuracy in deep learning classification algorithm were selected for differential diagnosis of primary membranous nephropathy (PMN).Objective This study explored the most suitable classification algorithm for PMN identification, and to provide data reference for PMN diagnosis research.Methods A total of 500 patients were referred to Luo-he Central Hospital from 2019 to 2021. …”
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Analyzing the Features, Usability, and Performance of Deploying a Containerized Mobile Web Application on Serverless Cloud Platforms by Jeong Yang, Anoop Abraham

“…The primary purpose of the services is to offer efficiency and scalability in modern software development and IT operations while reducing overall costs and operational complexity. …”
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Reducing Execution Time of Pixel-Based Machine Learning Classification Algorithms Using Parallel Processing Concept by Aliaa Mahmoud, Mohammed Younis

“…Which contributes to significant improvements in performance and time efficiency. This research demonstrated the impact of parallel processing on the performance and time efficiency of machine learning for pixel-based image classification techniques. …”
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Effect of pyrolytic temperature on the adsorption of Pb(II) from synthetic wastewater onto bamboo chopstick biochar: a conventional vs. microwave-assisted pyrolysis approach by Thembeka Mabaso, Shang-Lien Lo, Pei-Te Chiueh

“…Among the many chemisorption processes identified in previous studies, surface complexation has been identified as a possible adsorption mechanism for Pb(II) on the biochars produced. …”
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Influence of Tire Parameters on Contact Patch and Axle Force Generation against Short Obstacles Using DOE Approach by Vikas Birajdar, Seyed Jamaleddin Mostafavi Yazdi, Madhu Kandampadath, Mohammad Behroozi, Javad Baqersad

“…DOE findings suggest optimization strategies for selecting tire parameters to achieve a high test-to-simulation correlation with improved computational efficiency. …”
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Deep reinforcement learning-based mechanism to improve the throughput of EH-WSNs by Zahra Hasani, Maryam Mahdavimoghadam, Razieh Mohammadi, Zahra Shirmohammadi, Amirhossein Nikoofard, Eesa Nikahd, Kasra Davoodi

“…This discretization simplifies the representation of energy states and reduces complexity, making it easier to design and implement. …”
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Image captioning using bidirectional LSTM neural network by Farnaz Hoseini, Anaram Yaghoobi Notash

“…The dataset, including Flickr and MSCOCO with over 1.04 GB of data, was selected for its complexity in image captioning. Implemented in Python with TensorFlow and Cross on Google Colab, the proposed model is compared to five other LSTM-based models. …”
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A Cooperative Trajectory Optimization Algorithm for Connected Vehicles in Merging Zones by Hao Li, Yun Pu, Lingjuan Chen, Yu Wang

“…The cooperative optimization algorithm could be applied efficiently in practice and benefit from its rapid response and low computation complexity.…”
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A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search by Yifei Liu, Yiheng Zhu, Jike Wang, Renling Hu, Chao Shen, Wanglin Qu, Gaoang Wang, Qun Su, Yuchen Zhu, Yu Kang, Peichen Pan, Chang‐Yu Hsieh, Tingjun Hou

“…Abstract Drug discovery faces increasing challenges in identifying novel drug candidates satisfying multiple stringent objectives, such as binding affinity, protein target selectivity, and drug‐likeness. Existing optimization methods struggle with the complexity of handling numerous objectives, limiting advancements in molecular design as most algorithms are only effective for up to four optimization objectives. …”
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Integrating Artificial Intelligence in Medical Education: A Meta-Synthesis of Potentials and Pitfalls of ChatGPT by AHMAD KEYKHA, BEHESHTEH FAZLALI, SARA BEHRAVESH, ZOHREH FARAHMANDPOUR

“…Together, these challenges were further delineated into 11 secondary sub-themes,offering a comprehensive analysis of the complexities involved.Conclusion: The findings suggest that improving educational efficiency, assisting with self-development, enhancing communication skills, creating and expanding curriculum, and improving the learning environment are opportunities for utilizing ChatGPT. …”
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Fast simulation of the influence of a refractive free-form microstructure on a wave field based on scalar diffraction theory by Thiemicke Fabian, El-Bashar Ramy, Hameed Mohamed F.M., Agour Mostafa, Obayya Salah S.A., Bergmann Ralf B., Falldorf Claas

“…The main advantage of this method is its reduced complexity, which leads to a remarkable reduction in computation time by more than two orders of magnitude compared to finite-difference time-domain (FDTD) methods. …”
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The Fluorescent Sensing of BF₃ and Amines: A Dual Approach with Hydrazone Ligands by Haichao Ye, Liqin Liu, Dagang Shen, Chang Song, Huanhuan Wang

“…BF₃ detection can also be efficiently performed using test strips for convenient, air-based applications. …”
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Comparison of Different Methods (Digestion, Combustion, Gasification and Pyrolysis) for Sludge Energy Recovery: A Case Study for Ekbatan’s Municipal Treatment Plant by A. Hemmati, T. Abedzadegan

“…Different methods of urban sewage sludge energy recovery such as burning, gasification, pyrolysis and digestion based on the net energy production efficiency, advantages and disadvantages and complexity of these processes have been investigated in this article. …”
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