Value Chain Modeling in Digital Strategic Management by I. M. Stepnov, Yu. A. Kovalchuk

“…The analysis of existing approaches reveals the following unsolved problems: frst, the absence of direct interconnection between the expenses on digitalization and the results received with the use of digital platforms, and second, information is not singled out as a separate expense category in cost accounting, management and control regardless of the considerable percentage increase of an enterprise expenses on cloud computing service and technology. The authors model the newly created value in digital environment by a) defning a service (not fnished goods) as an integrating element which is typical of digital economy; b) singling out the variants of market cooperation with the use of platforms on the basis of traditional contracts, agreements “by default”, registered users of the platforms, smart contracts; c) choosing basic parameters — investments in the capital which is aggregated by the process and the costs of operating activity participants (by technological limits) supplemented by semi fixed costs; d) using the concept of limits to represent operating activity which is sensitive to special features and proportions among separate stages of a technological process and introducing two information limits (“Data collection, storage and processing” and “Digital representation and market design”) which resulted in creation of the information and communication costs accounting object. …”
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Road Event Detection and Classification Algorithm Using Vibration and Acceleration Data by Abiel Aguilar-González, Alejandro Medina Santiago

“…Traditional approaches often require complex feature engineering or the use of machine learning models, which can be computationally intensive, especially when dealing with real-time data from high-frequency vibration and acceleration sensors. …”
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Theoretical Insights into the Impact of Pyrrole and Imidazole Substituents on the BODIPY Chromophore by Patrycja Piękoś, Paweł Lipkowski, Wim Dehaen, Robert Wieczorek, Aleksander Filarowski

“…This paper concerns the in silico studies of the influence of heterocyclic substituents as well as their protonated and deprotonated forms on the spectral characteristics of BODIPY (4,4-difluoro-4-bora-3a,4a-diaza-<i>s</i>-indacene) dyes. Computational studies were carried out in order to reveal the most effective method of modeling of the spectral features of fluorescent BODIPY dyes. …”
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Deep-learning prediction of cardiovascular outcomes from routine retinal images in individuals with type 2 diabetes by Mohammad Ghouse Syed, Emanuele Trucco, Muthu R. K. Mookiah, Chim C. Lang, Rory J. McCrimmon, Colin N. A. Palmer, Ewan R. Pearson, Alex S. F. Doney, Ify R. Mordi

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Lightweight multiscale information aggregation network for land cover land use semantic segmentation from remote sensing images by Yahia Said, Oumaima Saidani, Ali Delham Algarni, Mohammad H. Algarni, Ayman Flah

“…Traditional models often face limitations in real-time processing and deployment on resource-constrained devices due to their high computational requirements. This paper presents a lightweight neural network designed to address these challenges by integrating dense dilated convolutions with pyramid depthwise convolutions for multiscale feature extraction. …”
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Adiabatic state conversion for (a)cyclic non-Hermitian quantum Hamiltonians of generalized functional form by Nicholas S. Nye, Nikolaos V. Kantartzis

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Preoperative digital 6-minute walk test reveals risk of postoperative pulmonary complications in patients undergoing heart valve surgery: a pilot feasibility study by Lixuan Li, Yuqiang Wang, Zhengbo Zhang, Zeruxin Luo, Wenqing Wang, Jiachen Wang, Xiaoli Liu, Ying Shi, Tian Yuan, Yong Fan, Hong Liang, Yingqiang Guo, Buqing Wang, Jing Wang, Jiaoxue Deng

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Naringenin-Loaded Solid Lipid Nanoparticles: Physical–Chemical Characterization and In Vitro Antibacterial Activity by Federica De Gaetano, Francesco Caridi, Noemi Totaro, Consuelo Celesti, Valentina Venuti, Giovanna Ginestra, Antonia Nostro, Silvana Tommasini, Cinzia Anna Ventura, Rosanna Stancanelli

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Neural Network-Based Lower Limb Prostheses Control Using Super Twisting Sliding Mode Control by Adisu Tadese Demora, Chala Merga Abdissa

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DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

“…Secondly, a hybrid loss function has been developed with weights optimized employing the Bayesian Optimization algorithm to provide a strategic method for parameter tuning in similar research. Lastly, the fixed window size of Swin-Transformer is dynamically adjusted to enhance computational efficiency and maintain accuracy. …”
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Lightweight underwater object detection method based on multi-scale edge information selection by Shaobin Cai, Xin Zhou, Wanchen Cai, Liansuo Wei, Yuchang Mo

“…These modules are individually incorporated into the C3K2 module of the backbone network, with the aim of extracting features at multiple scales, emphasizing edge information, and efficiently selecting key features that are highly relevant to the target task, thereby improving the model’s accuracy in recognizing critical targets. …”
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Harmonic Path Integral Diffusion by Hamidreza Behjoo, Michael Chertkov

“…This feature positions H-PID as a strong alternative to traditional methods sampling, such as simulated annealing, particularly for applications that demand analytical control, computational efficiency, and scalability.…”
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FEXGBIDS: Federated XGBoost-Based Intrusion Detection System for In-Vehicle Network by Jie Li, Yuanyuan Song, Ming-Gang Zheng, Shuo Zhang, Han Liang

“…Additionally, we employ BLS aggregate signatures to achieve efficient and verifiable parameter aggregation, and leverage the DDSketch distributed quantile estimation algorithm to optimize the feature bucketing process. …”
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Clinical Significance of Lung Microbiota and Experience of the Inhaled Antibacterial Therapy in Children of the Omsk Cystic Fibrosis Center (Сase Series) by Elena B. Pavlinova, Aleksandra G. Mingairova, Tat’yana I. Safonova, Irina A. Kirshina, Zul’fiya A. Zakirova, Tat’yana Yu. Korneeva, Anna A. Shevlyakova, Tat’yana Ya. Lapunova, Ol’ga P. Arkhipova, Natal’ya Yu. Vlasenko, Natal’ya A. Polyanskaya, Ol’ga A. Savchenko, Veniamin I. Demchenko

“…An investigation of clinical and microbiological features of respiratory lesion and an assessment of elimination therapy at chronic P. aeruginosa infection in children on the example of the Regional Cystic Fibrosis Center. …”
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Prediction of Pulmonary Hypertension in Patients with Diffuse Parenchymal Lung Disease using Forced Vital Capacity/ Diffusion Capacity of Lung using Carbon Monoxide Ratio: A Cross-... by Anubhab Moulik, Jaydip Deb, Sourindra Nath Banerjee, Priyanka Ray, Pulak Kumar Jana, Sukanta Kodali, Saswata Ghosh

“…The diagnosis of DPLD is based on clinical presentation and radiological features. The initial diagnostic work-up includes Pulmonary Function Tests (PFT), such as spirometry and diffusion tests. …”
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LMGDoc: Light Multigranular GNN for Efficient Document Understanding by Abdellatif Sassioui, Yasser Elouargui, Mohamed El Kamili, Rachid Benouini, El Mehdi Benyoussef, Meriyem Chergui, Mohammed Ouzzif

“…In this paper, we propose LMGDoc, a lightweight model capable of understanding and processing VRDs composed of three main components: a Feature Extractor using GloVe for text embedding and a novel layout encoding method, a Graph Constructor for representing document structures at multiple granular levels (word, region, and page), and a Graph Convolution Network (GNN). …”
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Bifurcation analysis of multistability and hysteresis in a model of HIV infection by I. V. Mironov, M. Yu. Khristichenk, Yu. M. Nechepurenko, D. S. Grebennikov, G. A. Bocharov

“…The macrophage activation rate constant is considered as a bifurcation parameter. The regions in the model parameter space, in particular, for the rate of activation of innate immune cells (macrophages), in which the properties of bi-, multistability and hysteresis are expressed, have been identified, and the features cha rac terizing transition kinetics between stable equilibrium states have been explored. …”
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Semantic Segmentation of Brain Tumors Using a Local–Global Attention Model by Shuli Xing, Zhenwei Lai, Junxiong Zhu, Wenwu He, Guojun Mao

“…In our model, we introduce: (1) a semantic-oriented masked attention to enhance the feature extraction capability of the decoder; and (2) network-in-network blocks to increase channel modeling complexity in the encoder while reducing the parameter consumption associated with residual blocks. …”
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Lightweight UAV Detection Method Based on IASL-YOLO by Huaiyu Yang, Bo Liang, Song Feng, Ji Jiang, Ao Fang, Chunyun Li

“…Additionally, the model size is reduced by 75%, the parameter count by 78%, and computational workload by 30%. …”
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YOLO-RGDD: A Novel Method for the Online Detection of Tomato Surface Defects by Ziheng Liang, Tingting Zhu, Guang Teng, Yajun Zhang, Zhe Gu

“…Firstly, the original C3k2 module and A2C2f module of YOLOv12 were replaced with RFEM in the backbone network to enhance feature extraction for small targets without increasing computational complexity. …”
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