An Accounting Procedure for Bonds with a Double Currency Denomination in Accordance with the IFRS by A. Yu. Kuz’min

“…The theoretical and practical significance of the research is determined by the development of scientific and applied tools that include accounting and process models, evaluation algorithms and procedures that can be used by accounting and audit departments in practical work when solving problems of reporting in accordance with IFRS.…”
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Analysis of user interaction with virtual objects in augmented reality applications by M. V. Alpatova

“…However, at a higher level, there are many research tasks for developers on the most effective application of these algorithms and subsequent analysis of the data obtained. …”
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Psychometry of Latent Characteristics: Tools, Problems of Rank Information Processing, Solutions by V.G, Mitikhin

“…The algorithms of the AHP normative approach are presented, which allow obtaining numerical, personalized assessments of psychosocial characteristics. …”
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The Role of Artificial Intelligence in Enhancing Diabetic Retinopathy Lesion Detection: A Review by Lakshmi K Santhiya, Sargunam B

“…This review's objective is to go over the numerous Deep learning techniques for automated computer-aided analysis of microaneurysms, haemorrhages, and exudates were also addressed, along with a knowledge gap in DR identification. As part of future research, this review seeks to systematize the available algorithms for ease of use and guidance by researchers. …”
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Initial Recognition of Convertible Bonds in Accordance with IFRS: the Issuer’s Party by A. Yu. Kuzmin

“…The theoretical and practical significance of the research lies in the formation of scientific theoretical and applied tools based on evaluation algorithms and accounting and process models. …”
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Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning by Spyridon Chavlis, Panayiota Poirazi

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Real-Time Threat Mitigation in Financial IT Infrastructures Using Quantum Computing by Jean Marie Vianney Sindayigaya

“…Quantum computing promises an unmatched level of scalable parallel processing with increased accuracy, speed, and timely response to realtime threats. This research evaluates the application of quantum computing algorithms, specifically Continuous-Variable Quantum Neural Networks (CV-QNN), Crystals-Kyber cryptographic methods, and Quantum-enhanced Monte Carlo simulations, within financial IT infrastructures. …”
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A survey of streaming data anomaly detection in network security by Pengju Zhou

“…This article provides a comprehensive review and a multi-faceted analysis of recent algorithms for anomaly detection in network security. …”
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Three-Year On-Orbit Radiometric Performance of the SDGSAT-1 Multispectral Imager (MSI) by Lin Yan, Enchuan Qiao, Changyong Dou, Hao Zhang, Zhenzhen Cui, Yonghong Hu, Xiao-Ming Li, Jinlong Ai

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Augmenting brain-computer interfaces with ART: An artifact removal transformer for reconstructing multichannel EEG signals by Chun-Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, Anne-Mei Bessas

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Cathepsin C correlates with M2 macrophage infiltration and regulates the tumor growth and metastasis in non-small cell lung cancer by Xiaoxia Tong, Ting Zhu, Li Ma, Xiaohu Yang, Chenghui Li, Yibing Liu, Xuan Qin, Yanguang Ding, Hongwei Xia, Yonglei Liu

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Watch, Scroll, Repeat: How Interface Design Shapes Consumptive Curation Affordances on TikTok by Carlos Entrena-Serrano

“…While previous research has explored user experiences with TikTok’s algorithmic recommendations, there has been limited attention to how its interface shapes these interactions. …”
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Estimation and trend analysis of grassland aboveground biomass on the Qinghai-Xizang Plateau based on machine learning by Ruoqi Zhang, Qisheng Feng, Yonghui Zhang, Jingjing Mai, Tiangang Liang

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vegspec: A compilation of spectral vegetation indices and transformations in Python by Kelly R. Thorp

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Development of fault detection system in irrigation pumping systems using machine learning methods with consideration of energy and water consumption by Gulnar Zholdangarova, Waldemar Wójcik

“…Thus, the development of an early fault detection and diagnosis system leveraging sensor analytic, filtering techniques, and machine learning (ML) technologies constitutes a critical applied research challenge. The aim of this research is to develop and validate early fault detection and classification methods for pumping systems using advanced machine learning algorithms and sensor data analysis.…”
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Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review by Kapongo D. Lumamba, Gordon Wells, Delon Naicker, Threnesan Naidoo, Adrie J. C. Steyn, Mandlenkosi Gwetu

“…The ultimate goal is to promote the development of more efficient and accurate algorithms for the detection or analysis of TB, and raise awareness about the importance of early detection. …”
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Accuracy and consequences of using trial-of-antibiotics for TB diagnosis (ACT-TB study): protocol for a randomised controlled clinical trial by Neil French, Peter MacPherson, Titus Henry Divala, Katherine L Fielding, Marriott Nliwasa, Chikondi Charity Kandulu, Lingstone Chiume, Sanderson Chilanga, Masiye John Ndaferankhande

“…We will estimate measures of effect by comparing outcomes in antibiotic arms (combined and individually) to standard-of-care.Ethics and dissemination The study has been reviewed and approved by Malawi College of Medicine Research and Ethics Committee, London School of Hygiene & Tropical Medicine (LSHTM) Research Ethics Committee and Regional Committee for Health and Research Ethics – Norway, and Malawi Pharmacy, Medicines and Poisons Board. …”
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Artificial intelligence in psychiatry: A systematic review and meta-analysis of diagnostic and therapeutic efficacy by Moustaq Karim Khan Rony, Dipak Chandra Das, Most. Tahmina Khatun, Silvia Ferdousi, Mosammat Ruma Akter, Mst. Amena Khatun, Most. Hasina Begum, Md Ibrahim Khalil, Mst. Rina Parvin, Daifallah M Alrazeeni, Fazila Akter

“…Future research should address ethical concerns, standardize methodologies, and explore underrepresented populations to maximize AI's transformative potential in mental health.…”
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Parameterised analysis of blade profiles within electric submersible pump for enhancing energy conversion efficiency by Hui Wang, Yang Yang, Qingchen Che, Jinghe Hou, Dunwei Liu, Leilei Ji, Ling Zhou, Hui Li, Zhaoming He

“…Furthermore, it establishes a foundation for integrating Bézier curve with advanced CFD-based optimisation algorithms, which could significantly enhance the effectiveness and efficiency of rotating machinery design in future research.…”
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Enhancing ovarian cancer prognosis with an artificial intelligence-derived model: Multi-omics integration and therapeutic implications by You Wu, Kunyu Wang, Yan Song, Bin Li

“…MFAP4′s functionality and the influence of DNA methylation present opportunities for prospective research endeavors and potential therapeutic interventions.…”
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