The problem of strategic arms reduction in the context of modern Russian-American relations by T. V. Kashirina

“…In the context of the Russian-Ukrainian crisis and the beginning of the Russian SVO the following issues became particularly difficult in the process of mutual verification of disarmament: the cessation of regular air traffic, the extension of flight times, which could contribute to the “leakage” of confidential information; the complexity of the visa regime for Russian specialists, especially in transit countries; difficulties in making Russian payments for verification services; the lack of unambiguous guarantees of providing the opportunity for aircraft of the Russian Ministry of Defense with inspectors on board to fly through the airspace of Western countries closed to Russia.Results. …”
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SoftEther VPN on OpenWRT in a virtual environment using VirtualBox by I.H. Falkovskyi, V.V. Vorotnikov, V.V. Mykolaichuk

“…Practical tips are provided to troubleshoot common issues that may arise during the setup process, such as connectivity problems or conflicts with existing network configurations. …”
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Exploring data quality and use of the routine health information system in Ethiopia: a mixed-methods study by Joanna Schellenberg, Della Berhanu, Lars Åke Persson, Misrak Getnet, Joanna Busza, Tsion Tsegaye, Kalkidan Mekete, Magdelawit Mengesha, Abyot Adane, Tewabe M Adege, Mesoud M Ahmed, Habtamu A Anteneh, Emiamrew S Ayalew, Netsanet Berhanu, Tesfahun Bishaw, Eshetu Cherinet, Mamo Dereje, Tsega H Desta, Abera Dibabe, Heven S Firew, Freweini Gebrehiwot, Etenesh Gebreyohannes, Zenebech Gella, Addis Girma, Zuriash Halefom, Sorsa F Jama, Annika Janson, Binyam Kemal, Abiy Kiflom, Yidnekachew D Mazengiya, Meresha W Nega, Israel A Otoro, Tefera Taddele, Gulilat Tefera, Admasu Teketel, Miraf Tesfaye, Kidist Woldesenbet, Yakob Wondarad, Zemzem M Yusuf, Kidist Zealiyas, Mebratom H Zeweli, Seblewengel Lemma

“…Data on maternal health and immunisation were of higher quality than data on child nutrition. Issues ranged from simple organisational factors, such as availability of register books, to intricate technical issues, like complexity of indicators and choice of denominators based on population estimates. …”
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Cocaine polydrug use and its impact on intentional harm recognition: a high-density EEG study by Juan-Pablo Morales, Nicholas T. Van Dam, Daniela Huepe-Artigas, Álvaro Rivera-Rei, Consuelo San-Martin, Felipe Rojas-Thomas, Joaquín Valdés, Agustín Ibáñez, David Huepe

“…Abstract Background Cocaine and stimulant consumption constitute a significant global issue and are associated with impaired social skills. …”
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BA-ATEMNet: Bayesian Learning and Multi-Head Self-Attention for Theoretical Denoising of Airborne Transient Electromagnetic Signals by Weijie Wang, Xuben Wang, Xiaodong Yu, Debiao Luo, Xinyue Liu, Kai Yang, Wen Yang, Xiaolan Yang, Ke Hu, Wenyi Hu

“…To tackle this issue, a deep learning-based denoising network, called BA-ATEMNet, is introduced, using Bayesian learning alongside a multi-head self-attention mechanism to effectively denoise ATEM signals. …”
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Visual dominance of the congruency sequence effect in a cross-modal context by Xiaoyu Tang, Xi Zhang, Tingting Wang, Hongtao Yu, Aijun Wang, Ming Zhang, Ming Zhang, Ming Zhang

“…The results revealed that the CSE was significantly greater under the VA condition than under the AV condition and confirmed that the visual modality played a dominant role in the CSE, as visual information is prioritized in processing and ultimately reduces the congruency effect in the next trial. …”
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Temporal dynamics analysis reveals that concurrent working memory load eliminates the Stroop effect through disrupting stimulus-response mapping by Yafen Li, Yixuan Lin, Qing Li, Yongqiang Chen, Zhifang Li, Antao Chen

“…However, it remains unclear which particular stage of Stroop conflict processing is influenced by working memory loads. In this study, electroencephalography (EEG) recordings with event-related potential (ERP) analyses, time-frequency analyses, multivariate pattern analyses (MVPAs), and representational similarity analyses (RSAs) were applied to provide an in-depth investigation of the aforementioned issue. …”
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From GNSS Zenith Tropospheric Delay to Precipitable Water Vapor: Accuracy Assessment Using In-Situ and Reanalysis Meteorological Data Over China by Haoyu Wang, Fei Yang, Junxi Zheng, Zhuangzhuang Wang, Weicong Chen, Jia Xie

“…However, how to convert the zenith tropospheric delay obtained from GNSS data processing into the precipitable water vapor (PWV) for stations without meteorological sensors is a key issue. …”
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Detection of hydrophobicity grade of insulators based on AHC-YOLO algorithm by Shaotong Pei, Weiqi Wang, Peng Wu, Chenlong Hu, Haichao Sun, Keyu Li, Mianxiao Wu, Bo Lan

“…Moreover, considering the real-time requirements for insulator hydrophobicity detection in practical operations, the model must be lightweight to speed up the detection process. To address this issue, this paper proposes a YOLO algorithm for the precise detection of composite insulator hydrophobicity. …”
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Density Logging Curve Reconstruction Method Based on Bayesian-Optimized CNN-LSTM by LI Hongxi, CHEN Mingjiang, ZHANG Xiankun, YANG Bo, ZHAO Bin, LI Xiansheng, WANG Huanhuan

“…Through this integration, the model can fully leverage the strengths of both components when processing logging data under complex geological conditions, thereby enhancing overall performance. …”
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In Situ XOR Encryption for Lightweight Security Using Nanoelectromechanical Physically Unclonable Functions by Changha Kim, Jin Wook Lee, Geun Tae Park, Myeong Su Shin, Seung Hun Baek, Jae Seung Woo, Woo Young Choi

“…The monolithic integration of NEM‐PUFs using the complementary metal–oxide–semiconductor (CMOS) back‐end‐of‐line (BEOL) process leverages process‐induced intentional random stiction as an entropy source. …”
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Enhancing Construction Waste Transportation Management Using Internet of Things (IoT): An Evaluation Framework Based on AHP–FCE Method by Muhammad Ateeq, Nan Zhang, Wenbo Zhao, Yaoqian Gu, Ziying Wen, Caimiao Zheng, Jianli Hao

“…The swift advancement of Internet of Things (IoT) technology offers an innovative solution for the intelligent and effective management of construction waste transportation in response to these issues. This study explores how IoT technology can enhance construction waste transportation management by developing an evaluation framework using the Delphi method, analytic hierarchy process (AHP), and fuzzy comprehensive evaluation (FCE). …”
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Dual-Stream Contrastive Learning for Medical Visual Representations Using Synthetic Images Generated by Latent Diffusion Model by Weitao Ye, Longfu Zhang, Xiaoben Jiang, Dawei Yang, Yu Zhu

“…Deep learning-based medical image processing methods can enhance diagnostic accuracy while significantly accelerating clinical decision workflows. …”
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Composite fixed-length ordered features with index-of-max transformation for high-performing and secure palmprint template protection by Zhicheng Cao, Weiqiang Zhao, Heng Zhao, Liaojun Pang

“…Among the very few research works, most of them only use orientational features of the palmprint with transformation processing, yielding unsatisfactory recognition and protection performance. …”
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Research on Ship Feature Recognition and Tracking Method Based on Long-line Array Single-photon LiDAR by Ziqiang PENG, Han WANG, Ruikai XUE, Xiaokai SHE, Genghua HUANG

“…In recent years, surface ship target tracking has been an important issue that needs to be solved in autonomous ship navigation. …”
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An integrated graph-spatial method for high-performance geospatial-temporal semantic query by Zichen Yue, Wei Zhu, Xin Mei, Shaobo Zhong

“…Graph databases excel at handling complex semantic associations but exhibit low efficiency in geospatial analysis tasks, such as topological analysis and geographic calculations, while relational databases excel at geospatial data storage and computation but struggle to efficiently process association analysis. To address this issue, we propose GraST, a geospatial-temporal semantic query optimization method that integrates property graphs and relational databases. …”
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GeoAI Dataset for Training a Deep Learning-based GEMS Snow Detection Model by Jin-Woo Yu, Jun-Hyeok Jung, Kyoung-Hee Kang, Yong-Mi Lee, Hyung-Sup Jung

“…Recently, deep learning techniques have shown potential in image processing, outperforming traditional algorithms, which could address these limitations. …”
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A Fast Registration Method for Building Point Clouds Obtained by Terrestrial Laser Scanner via 2-D Feature Points by Wuyong Tao, Yansheng Xiao, Ruisheng Wang, Tieding Lu, Shaoping Xu

“…Therefore, our method processes point cloud data in 2-D space, leading to high computation efficiency. …”
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Decomposition of Intensity and Sustainable Use Countermeasures for the Energy Resources of the Northwestern Five Provinces of China Using the Logarithmic Mean Divisia Index (LMDI)... by Zhenxu Zhang, Junsong Jia, Chenglin Zhong, Chengfang Lu, Min Ju

“…Energy resources are a material basis for regional sustainable development and ecological security. However, this issue has not been adequately studied in Northwest China. …”
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Three-Dimensional Object Recognition Using Orthogonal Polynomials: An Embedded Kernel Approach by Aqeel Abdulazeez Mohammed, Ahlam Hanoon Al-sudani, Alaa M. Abdul-Hadi, Almuntadher Alwhelat, Basheera M. Mahmmod, Sadiq H. Abdulhussain, Muntadher Alsabah, Abir Hussain

“…However, when dealing with 3D signals, the traditional approach of convolving kernels with the signal and computing OMs beforehand significantly increases the computational cost of computer vision algorithms. To address this issue, this paper develops a novel mathematical model to embed the kernel directly into the OPs functions, seamlessly integrating these two processes into a more efficient and accurate approach. …”
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