A segmentation-combination data augmentation strategy and dual attention mechanism for accurate Chinese herbal medicine microscopic identification by Xiaoying Zhu, Xiaoying Zhu, Guangyao Pang, Guangyao Pang, Xi He, Xi He, Yue Chen, Yue Chen, Zhenming Yu

“…Its high accuracy and effective feature processing capabilities underscore its potential to modernize and support the growth of the CHM industry.…”
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Mastering the art of sectioning: a comprehensive guide to slide-microtome technology and histological applications by Yasmin M. Abd El-Aziz, Mohammed S. Sobh, Hebatallah M. Saad, Menna H. E. Morsy, Ehab El-Haroun, Kasim Sakran Abass, Zulhisyam Abdul Kari, Roshmon Thomas Mathew, Moaheda E. H. Eissa, El-Sayed Hemdan Eissa

“…Before being sliced by a microtome, many soft materials must first go through numerous preparatory processes. The choice of microtome type and blade material depends on the specimen being cut and the desired thickness of the sections. …”
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Research and Application on Automatic Stratigraphic Sequence Division and Comparison Method Based on Integrated Prediction Error Filter Analysis by NING Weifeng, WANG Caizhi, JIANG Qingchun, LIU Yingming, WANG Hao, WEI Xingyun, LIN Yaoqiang

“…To address these issues, based on the technical principles and application characteristics of INPEFA, supplemented by Fourier transform to extract inflection point information, an automated sequence stratigraphic division process is established. …”
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Application of the blockchain technology for digital diplomas: problems and prospects by T. M. Shamsutdinova

“…In the course of the work, a model of the process of issuing and verifying digital diplomas was built, and a number of problems related to the practical implementation of this model were also considered.At the same time, the following groups of problems that restrain the spread of blockchain in the education sector of the Russian Federation were identified: technical and technological problems (lack of a national blockchain platform); legal issues (lack of legal force of digital diplomas); organizational problems (lack of a centralized management structure that coordinates the “educational” blockchain as a single digital information space).An example was also realized, showing the hardware and technological capabilities of the implementation of the task under consideration using the currently open (freely available) platforms. …”
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THE OPTIMISATION OF PARENTING PERSONAL POTENTIAL AS AN ASPECT OF SUPPORT FOR FAMILIES OF CHILDREN WITH MOVEMENT DISORDERS by N. A. Dubrovina, E. S. Naboichenko

“…In the system of preschool education, parents are full participants of the learning process. It is highly problematic to provide the efficiency of the educational process without involving parents, especially, in the case of younger children with special healthcare needs (CSHCN). …”
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The Application of Microfluidic Chips in Primary Urological Cancer: Recent Advances and Future Perspectives by Jiafu Liu, Xiao Zhi, Xiaolan Fang, Wenyao Li, Weixin Zhao, Meng Liu, Enping Lai, Wenzhuo Fang, Juan Wang, Yu Zheng, Jiang Zou, Qiang Fu, Wenguo Cui, Kaile Zhang

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Enhanced unsupervised domain adaptation with iterative pseudo-label refinement for inter-event oil spill segmentation in SAR images by Guangyan Cui, Jianchao Fan, Yarong Zou

“…The imaging features of oil spills in synthetic aperture radar (SAR) images have significant differences due to factors such as marine environment, SAR sensors, oil film thickness and types, which makes it difficult to obtain a generalized model, and the limited number of SAR images obtained from new oil spill events hampers the effective training of deep learning networks. To solve these issues, an enhanced unsupervised domain adaptation with iterative pseudo-label refinement (EUDA-PLR) approach is proposed for inter-event oil spill SAR image segmentation. …”
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Enzymatic Hydrolysis of Pretreated Miscanthus Biomass by Olga B. Kalashnikova, Ekaterina A. Budenkova, Elena V. Ulrikh, Evgeny G. Chupakhin, Olga V. Kriger, Yakov A. Masiutin, Maria A. Smaga, Yulia S. Basova

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Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques by Hesham Kamal, Maggie Mashaly

“…In contrast, the CNN is responsible for final classification, processing the extracted features to accurately identify specific attack types. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

“…By resolving time-lag issues and mitigating noise interference, the model enables precise ash content prediction 16 min ahead, supporting automated density control, reduced energy waste, and eco-friendly coal processing. …”
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Influences of non-uniformly distributed forming loads on deformation sequence and texture evolution in tailor heat treated Al6014 blanks by Nan Xiang, Meng-han Yang, Wan-ting Sun, Tao Huang, Hai-rui Zhang, Peng-yi Wang, Fei-yang Cheng

“…Tailor heat treatment (THT)-induced local material softening of precipitation-hardening alloy sheet can provide a simplified process routine for the manufacture of shell components with regional complex shape. …”
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Intraoperative Surgical Navigation and Instrument Localization Using a Supervised Learning Transformer Network by Junjun Huang, Tianran He, Juan Xu, Weiting Wu, Wei Wu

“…However, traditional multi-object tracking (MOT) methods, which decouple the detection and re-identification (re-ID) processes, frequently suffer from long-term reID in non-gaussian movement. …”
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Estimating ocean currents from the joint reconstruction of absolute dynamic topography and sea surface temperature through deep learning algorithms by D. Ciani, C. Fanelli, B. Buongiorno Nardelli

“…Here, we introduce realistic SST L4 processing errors and modify the network to concurrently predict high-resolution SST and ADT from synthetic, satellite equivalent L4 products. …”
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A novel dataset and deep learning object detection benchmark for grapevine pest surveillance by Giorgio Checola, Paolo Sonego, Roberto Zorer, Valerio Mazzoni, Franca Ghidoni, Alberto Gelmetti, Pietro Franceschi

“…Assisted by entomologists, we performed the annotation process, trained, and compared the performance of two state-of-the-art object detection algorithms: YOLOv8 and Faster R-CNN. …”
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Forest Change Monitoring Based on Block Instance Sampling and Homomorphic Hypothesis Margin Evaluation by Wei Feng, Fan Bu, Puxia Wu, Gabriel Dauphin, Yinghui Quan, Mengdao Xing

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Self-adaptation of e-learning software based on observing the information environment by A. M. Bershadskiy, A. S. Bozhday, A. A. Gudkov, Yu. I. Evseeva

“…The method being developed uses an array of user reviews about software as initial data, for the subsequent processing of which the methods of latent-semantic and distributive-statistical analysis are used. …”
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IT business as an object of financial management by N.H., A.Yu., I.V., M.P., O.Yu.

“…The stages of the software life cycle (Analysis, Design, Development, Testing, Deployment, Maintenance) are considered, with the allocation of a key IT specialist for each of the stages, with the ability to compare the cost of each with the elements of the software development process. Conclusions. The study of issues of typical business models (outstaffing, outsourcing, product model, startup) and organizational and legal forms of business (activities of an individual entrepreneur, limited liability company, joint-stock company) made it possible to highlight the peculiarities of IT business as a unity of the object of financial management (a high level of client orientation, where through using a lot of various payment systems and cryptocurrencies; the key role of human capital and the high costs of labour and services of IT specialists; the significant impact of currency risk; flexibility in the allocation of resources; special legal and tax regime of Diya.City).…”
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PS-GAN: A Novel Pseudo-Siamese Generative Adversarial Network for Multimodal Remote Sensing Image Change Detection by Zhifu Zhu, Xiping Yuan, Shu Gan, Raobo Li, Rui Bi, Weidong Luo, Cheng Chen

“…However, most existing studies generally overlook global contextual information during the image conversion process, resulting in an inability to fully capture the overall semantic structure of the image. …”
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Microbiological Contamination of Food Raw Materials and Ready-To-Eat Foods: Analytical Review by Andrei S. Khishov, Tatiana V. Balagula, Olga I. Lavrukhina, Aleksey V. Tretyakov, Olga E. Ivanova, Elizaveta S. Kozeicheva

“…Microbiological contamination changes the qualitative and quantitative profile of food, which makes it an important issue of food safety systems. Finished products with components of animal origin or combined vegetable and livestock raw materials are especially prone to microbiological contamination. …”
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Selection method for hybrid energy storage schemes for supply reliability improvement in distribution networks by Qian Li, Yuanbao Zhou, Yunxiao Zhang, Yuxin Fu

“…This paper focuses on addressing two main issues in HES pre-selection. Firstly, regarding the influence of the number of energy storage types on the utility value in HES pre-selection evaluation, we employ the integrated evaluation method of analytic hierarchy process (AHP)-criteria importance through intercriteria correlation (CRITIC)-technique for order preference by similarity to ideal solution (TOPSIS). …”
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