?
AI in Vocational Training: A Qualitative Interview Study of Early-Stage Practitioners in the Real Estate Brokerage Industry in China
Educational studies. 2024. Vol. 1. No. 3. P. 180–200.
Wang F.
This study aims to unveil the individual and sectoral factors influencing the integration and utilization of artificial intelligence (AI) in vocational training among early-stage practitioners in China's real estate brokerage industry. The study involved in-depth interviews with 33 participants, each possessing less than two years of industry experience and demonstrating either experience with or a keen interest in AI applications. Rooted in the transformative potential of AI in vocational training, thematic analysis was employed to reveal the intricate interplay of individual factors—motivation, attitude, self-efficacy, and digital literacy—alongside sectoral elements such as policies, practices, and organizational culture. The findings illuminate the significant impact of these factors on the acceptance and utilization of AI, underscoring the complexity of participant attitudes, shaped by perceived usefulness and ease of use. Diverse levels of self-efficacy and digital literacy among participants regarding AI adoption were also evident. On the sectoral front, policies play a dual role, either providing support or imposing restrictions on AI adoption, while practices and organizational culture wield substantial influence over the opportunities and challenges associated with AI use. These empirical insights and best practices offer stakeholders valuable guidance to enhance employability and productivity in this ever-evolving industry. Importantly, this study advocates for a more inclusive approach in future research, addressing limitations in sample representativeness and recommending the integration of quantitative methodologies. This approach is crucial for fostering a comprehensive understanding of AI utilization in vocational training, ensuring robust insights for future advancements in the industry.
Language:
English
Cherednichenko O., Herbert A., Poptsova M., Computational and Structural Biotechnology Journal 2025 Vol. 27 P. 992–1000
Large language models (LLMs) in genomics have successfully predicted various functional genomic elements. While their performance is typically evaluated using genomic benchmark datasets, it remains unclear which LLM is best suited for specific downstream tasks, particularly for generating whole-genome annotations. Current LLMs in genomics fall into three main categories: transformer-based models, long convolution-based models, and state-space models ...
Added: June 19, 2026
Poptsova M., Briefings in Bioinformatics 2025 Vol. 26 No. 2 P. 1–11
Kolmogorov–Arnold networks (KANs) emerged as a promising alternative for multilayer perceptrons (MLPs) in dense fully connected networks. Multiple attempts have been made to integrate KANs into various deep learning architectures in the domains of computer vision and natural language processing. Integrating KANs into deep learning models for genomic tasks has not been explored. Here, we ...
Added: June 19, 2026
Vukovic N., Аверина А. О., Стефанова К. А., Анализ и прогноз. Журнал ИМЭМО РАН 2026 № 1 С. 26–39
Responsible business conduct and environmental, social, and governance (ESG) policies play a crucial role in advancing the global sustainable development agenda. As businesses worldwide integrate sustainability into their strategic frameworks, ESG ratings serve as key instruments for assessing corporate responsibility and guiding investment decisions. This paper conducts a comparative analysis of major international ESG ratings ...
Added: June 19, 2026
Pruzhinin B. I., Afanasov N., Буданов В. Г. et al., Вопросы философии 2026 № 5 С. 5–35
In December 2025, the Institute of Philosophy of the Russian Academy of Sciences hosted an international roundtable on the topic “Social Programming as a Methodological Tool of Network Self-Organization: Problems and Trends”.
The roundtable was organized by the journal “Voprosy Filosofii” and representatives of the research project No. 25-28-00707, “Social Programming as a Problem of Network ...
Added: June 18, 2026
Анненков А. Н., Nesterov R., Моделирование и анализ информационных систем 2026 Т. 33 № 2 С. 176–205
Declarative process models are widely used in process mining to describe flexible process behavior through sets of constraints. However, models discovered automatically from event logs may contain inconsistent constraints, which can make them difficult to interpret and unusable for execution, conformance checking, or further analysis. Existing methods for consistency analysis either rely on automata-based constructions ...
Added: June 18, 2026
Cham: Springer Publishing Company, 2026.
The four-volume set LNCS 16483-16486 constitutes the refereed conference proceedings of the 48th European Conference on Information Retrieval, ECIR 2026, held in Delft, The Netherlands, during March 29–April 2, 2026.
The 46 full papers and 37 short papers presented together with 10 findings papers, 9 reproducibility papers, 17 resource papers, 11 workshop papers, 7 tutorial papers, ...
Added: June 18, 2026
Poddiakov A., Троицкий вариант. Наука 2026 № 12 С. 24–25
В научно-популярной заметке представлен обзор содержания поста филдсовского медалиста Тимоти Гауэрса о возможностях ИИ в математике и содержания комментариев под постом. Обзор сделан в основном чат-ботом DeepSeek. В заключение обсуждается возможность не только решения задач искусственным интеллектом, но и их постановки. ...
Added: June 18, 2026
Ufa: Scientific publishing house Infinity, 2026.
Science Conference Proceedings combine materials of the conference –
research papers and thesis reports of scientific workers. They examine technical,
juridical and sociological aspects of research issues. Some articles deal
with theoretical and methodological approaches and principles of research
questions of personality professionalization.
Authors are responsible for the accuracy of cited publications, facts, figures,
quotations, statistics, proper names and other information. ...
Added: June 18, 2026
Beznosikov A., Kormakov G., Grigorievskiy A. et al., Journal of Optimization Theory and Applications 2026 Vol. 209 Article 18
The objective of Vertical Federated Learning (VFL) is to collectively train a model using features available on different devices while sharing the same users. This paper focuses on the saddle point reformulation of the VFL problem via the classical Lagrangian function. We first demonstrate how this formulation can be solved using deterministic methods.More importantly, we explore various stochastic modifications to ...
Added: June 17, 2026
Воронина В., Tkachuk A., Финансовый менеджмент 2026 № 5 С. 128–134
The article examines the impact of sanctions and trade-related economic restrictions imposed by the United States during the Trump administration on China’s macroeconomic dynamics and its position in the global economy. The purpose of the study is to assess how external pressure affected GDP growth, foreign trade, and investment activity, as well as to identify ...
Added: June 17, 2026
Shirokova Galina, Veksler Kseniia, Dvorkina Daria et al., International Entrepreneurship and Management Journal 2026 Vol. 22 No. 3 Article 106
This article investigates how a scientific approach to entrepreneurial decisionmaking shapes the performance of student-founded new ventures across countries through the psychological resource of founder resilience and varying institutional conditions. Building on the theory-based view, psychological capital theory, and an institutional perspective, the study conceptualizes scientific decision-making as a deliberate, evidence-oriented logic that entrepreneurs employ ...
Added: June 17, 2026
Moshnyaga E., Иностранные языки в школе 2025 № 9 С. 16–24
This article analyzes the new context of interaction in educational spaces created by the changed conditions in the realization of international educational programs, specifically the emergence of the dissimilar Other student. Multicultural classes bring together representatives of a wide variety of cultures, often unfamiliar to the host culture and/or hostile to one another, leading to ...
Added: June 16, 2026
Chertenkov V. I., Shchur L., Lobachevskii Journal of Mathematics 2026 Vol. 47 No. 2 P. 720–727
Supervised machine learning is successfully applied to the study of critical phenomena and allows us to obtain a numerical estimate of the phase transition temperature and the correlation length exponent. We discuss the influence of possible systematic errors, as well as statistical errors, on the accuracy of such numerical estimates. Errors in the training and ...
Added: June 16, 2026
Томск: Издательство Томского государственного университета, 2025.
This collection is based on papers presented by participants at the XXXV International Scientific Conference "Language and Culture: Milestones, Traditions, Innovations." The materials presented in this publication address current issues in theoretical and applied linguistics and literary studies, the psychological, pedagogical, and sociocultural aspects of foreign language teaching, and important issues in translation and intercultural ...
Added: June 16, 2026
Moshnyaga E., Хуссейн И., Человек: образ и сущность. Гуманитарные аспекты 2025 № 4(64) С. 125–147
The article examines a series of cross-cultural cases that reveal the problems of intercultural interaction of dissimilar Others in the educational space of a university implementing international programs and conceptualized as a glocal eduscape. Based on the analysis of problem situations in the cases, solutions are proposed based on the understanding that successful interaction of ...
Added: June 16, 2026
Deeb B., Andrey V. Savchenko, Makarov I., IEEE Access 2026 Vol. 13 P. 56283–56295
Speech Emotion Recognition has gained considerable attention in speech processing and machine learning due to its potential applications in human-computer interaction, mental health monitoring, and customer service. However, state-of-the-art models for speech emotion recognition use many parameters, which leads to computational complexity. In this paper, we introduce a novel deep-learning model to enhance the accuracy ...
Added: June 16, 2026
Makarov N., Savchenko A., Zemtsova I. et al., Scientific Reports 2025 Vol. 15 Article 26641
The grey wolf (Canis lupus) is a pivotal species for ecological studies. As a key participant in ecosystem
processes, it also serves as a model for investigating social structure formation and ecological
adaptation. However, the species’ complex social behavior, spatial dynamics, and expansive habitats
make monitoring and population assessments across large areas particularly challenging. In recent
years, audio traps ...
Added: June 16, 2026
Vasilev R., Savchenko A., Blinov P. et al., Frontiers in Medicine 2026 Vol. 13
Automated disease screening systems face challenges when applied to multi-class medical image analysis, particularly under severe class imbalance inherent in clinical datasets. Retinal fundus imaging enables non-invasive screening for multiple ocular and systemic diseases simultaneously, yet current automated systems typically assess risk for only a single pathology or a limited disease range. We developed a ...
Added: June 16, 2026
Novopoltsev M., Tulenkov A., Murtazin R. et al., IEEE Access 2025 Vol. 13 P. 188170–188181
Video-based Isolated Sign Language Recognition (ISLR) problem presents significant challenges in scaling across diverse languages due to data scarcity and the computational costs associated with training of language-specific models. In this paper, we introduce a novel training pipeline that leverages self-supervised learning on a large-scale sign language dataset. To obtain the foundation model, we utilize ...
Added: June 16, 2026
Popov K., Писчикова Е. А., Российский журнал менеджмента 2026 Т. 24 № 1 С. 45–70
Purpose: this study aims to assess the impact of independent directors’ characteristics on voluntary ESG disclosure by Russian public non-financial companies. Methodology: this study conducts an econometric analysis of panel data on 56 large Russian public non-financial companies listed on the Moscow Stock Exchange, which published standalone ESG and sustainability reports from 2017 to 2023. Findings: the significant positive impact ...
Added: June 16, 2026
Barkhatova L., Социологические исследования 2026 № 5 С. 71–83
The article conceptualizes the methodological potential of hyperlink network analysis as a tool of empirical reconstruction of social interaction through digital traces. Using the partnership network of Russia’s artificial intelligence (AI) ecosystem as a case, the paper presents an original analytical framework for translating technical hyperlink data into sociological categories. The study describes a full ...
Added: June 12, 2026
Butorova A., Bobakov V., Sergeev A. et al., European Physical Journal: Special Topics 2026 P. 1–19
This paper presents a review of artificial intelligence (AI) methods for failure prediction in data center cooling systems, with a focus on the integration of digital twins (DTs), physics-informed learning, and graph-based models. Positioned within complex network science, this review addresses a limitation of conventional graph approaches—their reliance on pairwise connectivity—whereas real-world failures often arise ...
Added: June 10, 2026
Orazmetova Dilara, Zhohov A., Vasilieva Sofia et al., , in: 2026 28th International Conference on Digital Signal Processing and its Applications (DSPA).: IEEE, 2026. P. 1–5.
The article presents a software-hardware approach for an intelligent camera trap designed for the automatic detection of stray animals in a video stream using digital image processing methods and neural network algorithms implemented on an embedded computing platform. The system architecture, video signal processing algorithms, features of adapting a neural network model to conditions of ...
Added: June 7, 2026
Seul: PMLR, 2026.
Added: June 4, 2026