Digital Spectral Analysis by means of the Method of Averag Modified Periodograms Using Binary-Sign Stochastic Quantization of Signals by V. N. Yakimov

“…Taking into account the theory of discrete-event modeling the result of binary-sign quantization is interpreted as a chronological sequence of instantaneous events in which its values change. …”
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Dynamics of link formation in networks structured on the basis of predictive terms by S. O. Kramarov, O. R. Popov, I. E. Dzhariev, E. A. Petrov

“…In order to model and analyze the information conductivity of complex networks having an irregular structure, it is possible to use percolation theory methods known in solid-state physics to quantify how close the given network is to a percolation transition, and thus to form a prediction model. …”
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Hybrid Naïve Bayes Models for Scam Detection: Comparative Insights From Email and Financial Fraud by Lebede Ngartera, Mahamat Ali Issaka, Saralees Nadarajah

“…By bridging theory and application, this research challenges the notion that simplicity implies ineffectiveness. …”
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Preliminary Development of a Novel Salvage Catamaran and Evaluation of Hydrodynamic Performance by Wenzheng Sun, Yongjun Gong, Kang Zhang

“…Potential flow-theory-based analysis quantified motion responses under irregular waves. …”
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The Moral Foundations of Populist Communication: A Semantic Network Analysis of Political Parties’ Social Media Discourse in a Multiparty System by Anna Wickenkamp, Frederic R. Hopp, Michael Hameleers, Linda Bos

“…Using Moral Foundations Theory, natural language processing, and a computational semantic network approach, we analyzed 11,205 social media posts from Dutch political parties and leaders during the 2023 Dutch election campaign across X, Facebook, and Instagram. …”
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A three-stage exercise-oriented problem-based learning model for double-weak students in applied undergraduate education by Xianbin Huang, Xianbin Huang, Yao Hu, Liming Chen

“…The model consists of: (1) Basic Computation Reinforcement Layer, which restructures mathematical cognitive systems through structured exercises; (2) Application and Practice Transition Layer, which facilitates the targeted transfer of knowledge to practical competencies through engineering case studies; and (3) Modeling and Innovation Expansion Layer, which fosters complex problem-solving abilities through open-ended problem scenarios. …”
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Advances in Multi-Source Navigation Data Fusion Processing Methods by Xiaping Ma, Peimin Zhou, Xiaoxing He

“…In recent years, the field of multi-source navigation data fusion has witnessed substantial advancements, propelled by the rapid development of multi-sensor technologies, Artificial Intelligence (AI) algorithms and enhanced computational capabilities. On one hand, fusion methods based on filtering theory, such as Kalman Filtering (KF), Particle Filtering (PF), and Federated Filtering (FF), have been continuously optimized, enabling effective handling of non-linear and non-Gaussian noise issues. …”
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A hybrid Hadoop-based sentiment analysis classifier for tweets associated with COVID-19 utilizing two machine learning algorithms: CNN, and fuzzy C4.5 by Fatima Es-sabery, Ibrahim Es-sabery, Junaid Qadir, Beatriz Sainz-de-Abajo, Begonya Garcia-Zapirain

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Non-Visual Interfaces for Visual Learners: Multisensory Learning of Graphic Primitives by Stacy A. Doore, Justin R. Brown, Saki Imai, Justin K. Dimmel, Nicholas A. Giudice

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Extending Conflict-Based Search for Optimal and Efficient Quadrotor Swarm Motion Planning by Zihao Wang, Zhiwei Zhang, Wenying Dou, Guangpeng Hu, Lifu Zhang, Meng Zhang

“…We design emergency stop motion primitives to ensure complete UAV dynamics and handle spatio-temporal constraints from high-level conflicts. (2) The high-level algorithm defines comprehensive conflict types and proposes a motion primitive conflict detection method with linear time complexity based on Sturm’s theory. Additionally, our modified independence detection (ID) technique is applied to enable parallel conflict processing. …”
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Blockchain-Based Supply Chain Management Ensuring Transparency and Traceability in Logistics Operations by Chinthamu Narender, A Swathi, Banka Venkata Ramana, S Jagadheeswaran, Yoganandh Sampathirao, Jebaseeli S Kanmani

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Effect of protrusion structure on the performance of an advanced hydrodynamic cavitation reactor: An entropy-based analysis by Gaoju Xia, Sivakumar Manickam, Jingwei Li, Zhiqiang Yin, Wenlong Wang, Xun Sun

“…To address this, a “simplified flow field” computational flow dynamics (CFD) approach combined with entropy production theory was employed to assess the impact of protrusion installation upstream of the CGU on ARHCR performance. …”
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Improved PR Control Without Load Current Sensors and Phase-Locked Loops for APFs by Jianling Liao, Wei Yuan, Yankui Zhang, Jia Zou, Xu Zhang

“…Focusing on the common problems of phase-locked loop dependence, multiple current sensor requirements, a large number of controllers, and complex settings in traditional parallel active power filter (APF) control methods, this paper proposes a harmonic compensation control strategy based on an improved proportional resonant (PR) controller. …”
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In Silico Study of Bis(6-Amino-1,3-Dimethylpyrimidine-2,4(1H,3H)-Diones) as EGFR Inhibitors: Synthesis, DFT, Molecular Docking, and MD Simulation Studies by Zeynab masoumi, Mohammad Bayat, Davood Gheidari

“…In this study, a series of bis(6-amino-1,3-dimethylpyrimidine-2,4(1H,3H)-dione derivatives was synthesized in water at room temperature without the use of any catalyst, and pharmaceutical properties are investigated. Computational methods, including density functional theory (DFT), molecular docking, and molecular dynamics (MD), were utilized to investigate the chemical properties, drug-like characteristics, and anticancer potential of the molecule. …”
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Situation Awareness and Tracking Algorithm for Countering Low-Altitude Swarm Target Threats by Nannan Zhu, Fuli Zhong, Xueyue Lei, Guo Niu, Hongtu Xie, Yue Zhang

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Six-Dimensional Spatial Dimension Chain Modeling via Transfer Matrix Method with Coupled Form Error Distributions by Lu Liu, Xin Jin, Huan Guo, Chaojiang Li

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A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing by Muhammad Asif, Mohammad Abrar, Faizan Ullah, Abdu Salam, Farhan Amin, Isabel de la Torre, Mónica Gracia Villar, Helena Garay, Gyu Sang Choi

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Unveiling the Polypharmacological Potency of FDA-Approved Rebamipide for Alzheimer’s Disease by Israa J. Hakeem, Hadil Alahdal, Hanadi M. Baeissa, Tahani Bakhsh, Misbahuddin Rafeeq, Alaa Hamed Habib, Mohammed Matoog Karami, Maryam A. AL-Ghamdi, Ghadeer Abdullah, Abeer Al Tuwaijri

“…Pharmacokinetic predictions, interaction fingerprinting, WaterMap analysis, density functional theory (DFT) calculations, and 100 ns MD simulations were performed for each protein–ligand complex to evaluate its multitarget potential. …”
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Advances and prospects in SAR microwave vision <?A3B2 pi6?>three-dimensional imaging by Qiu Xiaolan, Jiao Zekun, Zhang Zhe, Yan Qiancheng, Ding Chibiao

“…Limitations such as long acquisition or complex system from its imaging mechanism restrict its application. …”
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Efficient spectrally-resolved electron transport for thermal property prediction by Jackson R. Harter, Shuxiang Zhou, Sebastian Schunert, Andrea Jokisaari, P. Alex Greaney

“…Predicting thermal conductivity from the transport of electrons is a complex challenge which must be addressed for the design and production of nano- and microscale devices. …”
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