Development of Adaptive Testing Method Based on Neurotechnologies by E. V. Chumakova, D. G. Korneev, M. S. Gasparian

“…The aim of the study is to create neural network models of modules in an adaptive testing system to design an individual testing trajectory.The research article discusses the implementation of an adaptive testing system in terms of introducing artificial neural network modules into its composition, which should solve the problem of choosing a topic and the complexity of the next question, taking into account previous answers and the complexity of previously asked questions, as well as the connectivity of topics and response time as a factor guessing or searching for an answer, thereby forming an individual testing trajectory.Materials and methods. …”
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Simulation and Modelling of C+L+S Multiband Optical Transmission for the OCATA Time Domain Digital Twin by Prasunika Khare, Nelson Costa, Marc Ruiz, Antonio Napoli, Jaume Comellas, Joao Pedro, Luis Velasco

“…In addition, in MB optical transmission, interchannel stimulated Raman scattering (ISRS) becomes a major effect, which adds more complexity. In view of that, the fourth-order Runge–Kutta in the interaction picture (RK4IP) method, complemented with an adaptive step size algorithm to further reduce the computation time, is evaluated as an alternative to reduce time complexity. …”
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Modeling the compressive strength of concrete at different curing regimes using machine learning by Kennedy C. Onyelowe, Ahmed M. Ebid, Rosa Belén Ramos Jiménez, Angel Geovanny Lozano Guamán, Diego Ramiro Ñacato Estrella, Juan Carlos Cayán Martínez, Eduardo Francisco García Cabezas, Paul Awoyera

“…Abstract In this research work, a representative data of 334 collected from literature of concrete admixed with highly pozzolanic industrial waste materials, which are nano-silica (nSi), nano-alumina (nAl) and micro-silica (mSi) has been deployed to the learning abilities of the artificial neural network (ANN), genetic programming (GP), and the evolutionary polynomial regression (EPR) under the influence of the variable structure neuron interface in the hidden layer and the levels complexity of the techniques. …”
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Peculiarities of dynamic evaluation of globular formation outlines of the lungs with multislice computed tomography by Vladimir G. Kolmogorov, Ivan V. Molodkin, Vladimir K. Konovalov, Alexander M. Shayduk, Sergey A. Ostanin, Sergey L. Leonov, Olga V. Borisenko, Mikhail A. Fedoseyev, Julia S. Modakalova

“…At CT gauge body phantoms test facilities are widely used for evaluating the performance of scanners that allow the evaluation of scanner characteristics : noise, contrast sensitivity, positioning accuracy, stiffness of the radiation beam, the layer thickness, spatial resolution, etc.Aim. To develop a methodology for assessing the GFL outlines of the dynamics of multislice computed tomography (MSCT) by selecting the optimal image processing algorithms.Materials and methods. …”
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Large-Language-Model-Enabled Text Semantic Communication Systems by Zhenyi Wang, Li Zou, Shengyun Wei, Kai Li, Feifan Liao, Haibo Mi, Rongxuan Lai

“…Based on this, we derive the optimal decoding criteria for the receiver and introduce beam search algorithm to further reduce complexity. Furthermore, we assert that existing LLMs can be employed directly for LLM-SC without extra re-training or fine-tuning. …”
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Improved decomposition strategy based recurrent ensemble deep random vector functional link network for forecasting short-term electricity price by Ranjeeta Bisoi, P.K. Dash, Someswari Perla

“…Further each layer produces an output by simple matrix inversion based on generalized least squares and all the outputs from different layers are combined by taking the median to obtain the final forecast thus producing a framework of both ensemble and recurrent deep learning simultaneously. …”
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The Impact of COVID-19 on “Reconstructive Burnout” Following Mastectomy by Victoria A. Hodkiewicz, BS, Christopher Kujalowicz, BSA, BA, Bianca A. Di Chiaro, MD, MPH, Jeewon Chon, MA, Marina Feffer, MPH, Eleanor Bucholz, MD, Timothy W. King, MD, PhD, MBA

“…We hypothesize that the COVID-19 pandemic and subsequent postponement of elective procedures added an additional layer of complexity to this process, contributing to failure to achieve complete reconstruction. …”
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Ultra-secure quantum protection for e-healthcare images: Hybrid chaotic one-time pad with cipher chaining encryption framework by Roayat Ismail Abdelfatah, Reham Mohamed Elsobky, Salah Aldeen Khamis

“…The hardware execution yielded a throughput of 4,500 Circuit Layer Operations Per Second (CLOPS), indicating efficient real-time performance on NISQ devices, Moreover, the echoed cross-resonance (ECR) gate error remained within a median of 1.1 × 10⁻2, supporting reliable circuit execution. …”
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Self-attention Deep Field-embedded Factorization Machine for Click-through Rate Prediction by Guangli LI, Yiyuan YE, Guangxin XU, Hongbin ZHANG, Guangting WU, Jingqin LYU

“…Notably, the explicit high-order feature interaction layer plays the most important role in Self-AtDFEFM. …”
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An Efficient K-Best MIMO Detector for Large Modulation Constellations by Yu-Xin Liu, Shih-Jie Jihang, Yeong-Luh Ueng

“…The <inline-formula> <tex-math notation="LaTeX">$K \sqrt {M}$ </tex-math></inline-formula> candidates are arranged into a multiple-layer table using the proposed path metric discretization. …”
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Characterization of Wi-Fi Access Point Energy Consumption and the Impact of IEEE 802.11 Standard Evolutions by Hamidou Dembele

“…Unlike traditional static or linear models that overlook dynamic behavior and upper-layer processing costs, our model better captures the complexity of real-world AP usage.…”
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Development of Multimodal Physical and Virtual Traffic Reality Simulation System by Ismet Goksad Erdagi, Slavica Gavric, Aleksandar Stevanovic

“…As urban traffic complexity increases, realistic multimodal simulation environments are essential for evaluating transportation safety and human behavior. …”
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The development of quantative and qualitive analysis methods of suppositories with Maclura Pomifera extract by V. A. Korotkov, A. S. Kukhtenko, N. U. Bevz, V. A. Grudko, E. V. Gladuh

“…For the suppositories ingredients’identification thin layer chromatography has been used. Quantitative determination of active compounds has been carried out by spectrophotometry in ultraviolet and visible spectrum. …”
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Effects of electric field and heat distribution due to trends in metal stent diameter in epicardial pulsed field ablation by Zhen Wang, Ming Liang, Jingyang Sun, Jie Zhang, Yunhao Li, Daoyang Zhang, Yaling Han

“…Metallic stents implanted in the epicardial fat layer of coronary arteries may undergo diameter changes due to plaque accumulation and vascular alterations. …”
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Macromicroscopic Method for Vitreous Body Anatomy Studying by N. M. Kislitsyna, A. V. Shatskikh, S. M. Dibirova, D. M. Sultanova, M. P. Veselkova, S. V. Novikov

“…Purpose: The vitreous body (CT), due to the complexity of its structure, remains one of the least studied anatomical structures to this day. …”
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The use of pretrained neural networks for solving the problem of reverse searching of X-ray images of prohibited items and substances by A. K. Volkov, L. V. Mironova, S. E. Potapova

“…In order to apply this model to extract image feature vectors, the last classification layer was preliminarily removed. All the previous layers of the model encode the image into a vector. …”
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ESLC-YOLOv8: Advancing real-time pineapple recognition with lightweight deep learning by Weihua Shen, Mengyao Dong, Zhaoxin Zhang, Xiaying Hao, Yuzhen Su, Zhong Xue

“…This study introduces an enhanced object detection algorithm, EIEStem-v7DS'Sample-LSCD-CA-YOLOv8n (ESLC-YOLOv8), designed for real-time pineapple detection in complex agricultural environments. First, we propose the EIEStem module to enhance the backbone network's convolutional layers, significantly improving edge feature extraction and spatial information preservation. …”
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Unveiling Ruthenium(II) Diazadienyls for Gas Phase Deposition Processes: Low Resistivity Ru Thin Films and Their Performance in the Acidic Oxygen Evolution Reaction by David Zanders, Jorit Obenlüneschloß, Jan‐Lucas Wree, Julia Jagosz, Parmish Kaur, Nils Boysen, Detlef Rogalla, Aleksander Kostka, Claudia Bock, Denis Öhl, Michael Gock, Wolfgang Schuhmann, Anjana Devi

“…Abstract Two novel ruthenium complexes belonging to the Ru(II)(DAD)(Cym) (DAD = diazadienyl) (Cym = cymene) compound family are introduced as promising precursors. …”
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CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

“…This article introduces a new hybrid model, CSTFNet, which combines an improved CNN module and dual-layer Swin transformer (DLST) to tackle these challenges. …”
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Asymmetric Deformation Induced by Underground Mining: A Case Study of a Mine in Shaanxi, China by Xuesong Zhang, Chenglong Zhang, Zhenhong Li, Yu Li, Yanbo Cao, Ying Zhao, Jiawei Zhou, Kelu He, Xianghui Wang

“…In contrast, underground mining disrupts the stress balance in the overlying rock layers, leading to complex settlement patterns, including subsidence basins, cracks, and groundwater depletion. …”
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