Liability of legal entities under public law under the immunity of the foreign state that created them by Yu. M. Zhornokui

“…Even if the state continues to refer to absolute immunity, it will not solve the urgent problems, since most states have already abandoned this theory and their courts consider cases accordingly. …”
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Legal regulation of counteraction to domestic violence in Russia and Germany: comparative analysis by T. V. Prikhodko

“…The comparative study aims to identify the reasons for the draft’s unviability in Russian Federation, in particular, and to search for legislative opportunities to solve the domestic crime’s problems in Russia, in general.Methodology. The article is based on the comparative legal method. …”
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Behind the lenses: Biases in the contribution of wildlife photography to biodiversity representation by Héctor Ruiz‐Villar, Ana Morales‐González, Jon Morant

“…Abstract Nature‐related visual media has a significant impact on today's society by engaging the public in conservation problems and promoting pro‐environmental behaviours. …”
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Burnout Aspects Among Health Care Managers by P. S. Tuillet, T. L. Savinova, R. A. Khalfin, V. V. Madyanova, A. S. Stolkova

“…Health care managers face high requirements for professional level and stress-resistance, which can lead to problems in the emotional sphere. The data about burnout prevalence and its determinants among health care managers is contradictory that demands further studying.Objective. …”
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Controlled random tests with limited Hamming distance by V. N. Yarmolik, V. V. Petrovskaya, D. V. Demenkovets, V. A. Levantsevich

“…Objectives. The problem of constructing controlled random tests with a fixed minimum Hamming distance is solved. …”
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Adversarial Sample Generation Method Based on Frequency Domain Transformation and Channel Awareness by Yalin Gao, Dongwei Xu, Huiyan Zhu, Qi Xuan

“…In OFDM wireless communication systems, low-resolution channel characteristics and noise interference pose significant challenges to accurate channel estimation. To solve these problems, we propose a super-resolution denoising residual network (SDRNet), which combines the advantages of the super-resolution convolutional neural network (SRCNN) and the denoising convolutional neural network (DnCNN) to construct a pilot-based OFDM signal model, train SDRNet using OFDM pilot data containing Gaussian noise, and optimize its feature enhancement ability in frequency-selective fading channels. …”
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Predictive analysis of heart disease using quantum-assisted machine learning by Mehroush Banday, Sherin Zafar, Parul Agarwal, M. Afshar Alam, Siddhartha Sankar Biswas, Imran Hussain, K. M. Abubeker

“…In this research, a hybrid approach utilises techniques with quantum computing capabilities to tackle complex problems that are not amenable to conventional ML algorithms and to minimise computational expenses. …”
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Subclinical and long-term effects of severe acute respiratory syndrome coronavirus 2 infection in Danish farmed mink: implications for disease surveillance by Michelle Lauge Quaade, Mia Mylin Jensen, Thomas Bruun Rasmussen, Tim Kåre Jensen, Anne Sofie Hammer

“…The current SARS-CoV-2 surveillance system on Danish mink farms does not properly address such problems and repeated outbreaks on farms could occur without detection if there are no clinical signs or increased mortality due to SARS-CoV-2. …”
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“FROM THE POLISH CARD OF LEO TOLSTOY” BY PROFESSOR B. BIALOKOZOVICH: METHODOLOGY AND CONSTRUCTIVENESS by Luiza K. Olyander

“…The expediency of raising the problem – the specifics of Polish scientist`s methodology, is substantiated. …”
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Combination of Graph and Convolutional Networks for Brain Tumor Segmentation from Multi-Modal MR Images In Clinical Applications by Marjan Vatanpour, Javad Haddadnia, Shahryar Salmani Bajestani

“…After retrieving the feature representation of the CNN, a graph model is created and fed to the GNN. …”
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Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study by Mamoun T Mardini, Chen Bai, Anthony A Bavry, Ahmed Zaghloul, R David Anderson, Catherine E Crenshaw Price, Mohammad A Z Al-Ani

“…The Shapley Additive Explanations analysis found that congestive heart failure management, back problems, and atrial fibrillation were the top frailty predictors. …”
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PERFORMANCE EVALUATION OF THE INDF.JK STOCK PRICE MOVEMENT PREDICTION MODEL USING RANDOM FOREST METHOD WITH GRID SEARCH CROSS VALIDATION OPTIMIZATION by Della Zaria, Evy Sulistianingsih, Shantika Martha, Wirda Andani

“…When determining the right time to buy or sell stocks, volatile stock price movements and losses caused by wrong decisions are investors' problems. Thus, it is essential to analyze stock price movement predictions. …”
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Deep Learning Approaches for Retinal Disease Identification in Fundus Imaging: A Comprehensive Overview by Ismael Abdulkareem Ali, Sozan Abdullah Mahmood

“…In this paper, we propose a concise review of introducing most of the DL, hybrid, and ensemble models utilized for the purpose of identification and classification of eye diseases. Various datasets, feature extraction techniques, and metrics for performance evaluation are discussed. …”
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Joint Optical Performance Monitoring and Modulation Format/Bit-Rate Identification by CNN-Based Multi-Task Learning by Xiaojie Fan, Yulai Xie, Fang Ren, Yiying Zhang, Xiaoshan Huang, Wei Chen, Tianwen Zhangsun, Jianping Wang

“…Instead of treating the monitoring and identification tasks as separate problems, a novel MTL technique is used to joint optimization of them utilizing the ability of feature extraction and feature sharing. …”
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Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia by Mahwish Ilyas, Muhammad Bilal, Nadia Malik, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz

“…Early and accurate diagnosis is essential for detecting medical problems and then prescribing the most effective treatment strategies, especially in life-threatening diseases such as leukemia. …”
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Dehazing algorithm for coal mining face dust and fog images based on a semi-supervised network by Meng ZHAO, Yuzhong WEI, Zheng LI, Junming ZHANG, Junda CHEN, Xiaofeng LIU

“…Meanwhile, deep learning algorithms face the issue of lacking paired images of underground dust-mist and clear images. To address these problems, a dehazing algorithm based on a semi-supervised learning network is proposed. …”
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Automated Essay Scoring Menggunakan Semantic Textual Similarity Berbasis Transformer Untuk Penilaian Ujian Esai by Kharisma Ayu Pradani, Lya Hulliyyatus Suadaa

“…As a baseline, the Term Frequency – Inverse Document Frequency (TF-IDF) feature extraction technique is used and calculating feature similarity using cosine similarity and linear regression. …”
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Artificial Intelligence (AI) in Neurofeedback Therapy Using Electroencephalography (EEG), Heart Rate Variability (HRV), and Galvanic Skin Response (GSR): A Review by Teddy Marcus Zakaria, Armein Zainal R. Langi, Muhamad Sophian Nazaruddin, Isa Anshori

“…Attention problems, such as attention deficit hyperactivity disorder (ADHD), have a significant impact on quality of life and academic achievement. …”
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Infrastructure and Tools for Testing the Vulnerability of Control Systems to Cyberattacks: A Coal Mine Industrial Facility Case by Sebastian Plamowski, Patryk Chaber, Maciej Ławryńczuk, Robert Nebeluk, Ewa Niewiadomska-Szynkiewicz, Jakub Suchorab, Krzysztof Zarzycki, Adam Kozakiewicz, Andrzej Stachurski

“…Secondly, it describes the problem of replicating a real system in the laboratory and the necessary tools and methods used to implement a resilient system architecture. …”
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Restricted supervised Cascade Information Network for remote sensing change captioning with serial sentences by Kunping Yang, Jianchong Wei, Chengbin Chen, Zhensheng Wang, Junhui Lan, Xuanping Li, Duwei Hua, Dingli Xue, Yi Wu

“…Specifically, we define each caption as a probability case related to deep features, which are updated in a designed Cascade Linguistic Module (CL-Module) by introducing the information theory. …”
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