Our Work

В тезисе рассматриваются вопросы совершенствования  системы предупреждения пожаров в резервуарах для хранения нефти и  нефтепродуктов с использованием риск-ориентированного подхода.  Ак…

В тезисе рассматриваются вопросы совершенствования  системы предупреждения пожаров в резервуарах для хранения нефти и  нефтепродуктов с использованием риск-ориентированного подхода.  Актуальность исследования обусловлена высокой пожарной и взрывопожарной  опасностью резервуарных парков, значительными объёмами хранимых горючих  жидкостей и возможностью образования взрывоопасных паровоздушных  смесей. 

Contains scripts associated with the theoretical paper exploring trust in AI.

The study examined the determinants of behavioral intention to use artificial intelligence (AI) among administrative personnel in selected private higher education institutions (HEIs) in Cebu, Philipp…

The study examined the determinants of behavioral intention to use artificial intelligence (AI) among administrative personnel in selected private higher education institutions (HEIs) in Cebu, Philippines, using an extended Unified Theory of Acceptance and Use of Technology (UTAUT) framework. The model incorporated trust in AI and AI job insecurity to provide a context-specific understanding of AI adoption in higher education administration. Using a quantitative, cross-sectional research design, data were collected from 243 administrative personnel and analyzed through structural equation modeling. The findings revealed that performance expectancy, effort expectancy, and social influence positively and significantly influenced behavioral intention, with social influence demonstrating the strongest relationship. Conversely, facilitating conditions and AI job insecurity did not significantly predict behavioral intention. Trust in AI exhibited a significant negative relationship with behavioral intention, contrary to the hypothesized positive direction. Multigroup analysis further indicated that gender significantly moderated the relationship between performance expectancy and behavioral intention, while institutional tenure moderated the relationship between social influence and behavioral intention. Age did not significantly moderate the relationship between effort expectancy and behavioral intention. The proposedTargeted Administrative Change Management framework provides a foundation for institutional strategies supporting responsible AI adoption, while its effectiveness warrants further empirical validation.

В работе проведен анализ основных причин и условий  возникновения пожаров на объектах хранения нефтепродуктов. Рассмотрены  физико-химические,  технологические и эксплуатационные фактор…

В работе проведен анализ основных причин и условий  возникновения пожаров на объектах хранения нефтепродуктов. Рассмотрены  физико-химические,  технологические и эксплуатационные факторы,  способствующие формированию пожароопасной ситуации. Установлено, что  возникновение пожара на резервуарных объектах является результатом  последовательного взаимодействия горючего вещества, окислителя и  источника зажигания при достижении соответствующих условий  воспламенения. 

Liquid Tensioning is a work for violin and bass clarinet, live notation, live generative system, live electronics, and attendees’ participation. Liquid Tensioning is a Collaborative and interact…

Liquid Tensioning is a work for violin and bass clarinet, live notation, live generative system, live electronics, and attendees’ participation. Liquid Tensioning is a Collaborative and interactive work in which the work is real-time created in real time through self-evaluation of the work. Attendees will evaluate the work via a web app, and the musical generative system will change in real time according to the evaluation. The Musicians will receive notes via a live notation system on their mobile phones. The title of the work refers to the model of tensioning provided by the generative system based on a musical tensioning that is not related to the properties of the musical material. This work belongs to a series of works in which the composer creates a self-referential musical generative system based on the real-time evaluation of the work. The main musical material of this work is its evaluation. The work duration is about 10 minutes. 

This dataset was developed as part of a research study evaluating mobile applications related to autism spectrum disorder (ASD). The data collection and evaluation process was conducted by two authors…

This dataset was developed as part of a research study evaluating mobile applications related to autism spectrum disorder (ASD). The data collection and evaluation process was conducted by two authors of the associated research article, both of whom are graduate students in Industrial Engineering at Amirkabir University of Technology (Tehran Polytechnic). The initial stage of data preparation involved systematically searching, reviewing, and selecting relevant applications available on two major mobile application platforms, Google Play and the Apple App Store. Following the screening and selection process, a total of 45 autism-related mobile applications were identified and included in the final dataset. To develop a comprehensive evaluation framework, 45 primary evaluation criteria were initially identified based on the objectives of the study and the characteristics of autism-related mobile applications. These primary criteria were subsequently decomposed into more specific sub-criteria and operational questions. Through this hierarchical process, a total of 78 final evaluation features were established for assessing each application. The 78 features cover different aspects of the selected applications, including descriptive and structural characteristics as well as functional characteristics. For functional features, the initial assessment was performed using a three-level scoring scheme: 0, 0.5, and 1. A score of 1 indicates that the corresponding feature or functionality was fully present in the application, a score of 0 indicates that the feature was completely absent, and a score of 0.5 represents a partial or intermediate level of implementation. To evaluate the applications consistently, the selected applications were downloaded and examined directly by both researchers. The evaluation questions were independently reviewed and assessed based on the actual characteristics and functionalities observed in each application. Particular attention was given to applying the evaluation criteria consistently and basing scores on observable evidence rather than subjective assumptions. Following the initial assessments, a review and discussion process was conducted by the two researchers to compare their evaluations and resolve discrepancies. In the initial assessment stage, each feature was assigned a score of 0, 0.5, or 1 by each researcher. The evaluations were then combined to obtain the final scores. As a result of this aggregation, the final scores could take any decimal value between 0 and 1, including 0 and 1. This procedure was adopted to obtain a consistent representation of the two researchers’ evaluations and to reduce the potential influence of individual evaluator bias. In some cases, values for particular features were unavailable for specific applications. These missing values were retained in the original dataset and subsequently addressed during the data preprocessing stage using the predefined preprocessing methodology of the study. The resulting dataset represents the raw evaluation data prior to the application of statistical analysis and machine learning procedures. Subsequent preprocessing steps, including the treatment of missing values, data scaling and standardization, feature extraction or transformation where applicable, and feature selection or dimensionality reduction, were performed as separate stages of the analytical workflow. Therefore, this dataset provides the underlying application-level observations and evaluation features used as the basis for the subsequent data analysis and modeling procedures reported in the associated research article.

Background: Television interviews play an important role in shaping public discourse by determining how political issues, public officials, and competing viewpoints are presented to audiences. However…

Background: Television interviews play an important role in shaping public discourse by determining how political issues, public officials, and competing viewpoints are presented to audiences. However, differences in interviewers’ questioning patterns, interactional techniques, tone, and ideological orientation may influence the quality, balance, and character of broadcast political discourse. Despite the prominence of Seun Okinbaloye and Rufai Oseni in Nigerian television journalism, limited empirical attention has been paid to comparing their interviewing styles using systematic content analysis. This study therefore addresses the need to examine the similarities and differences in the interviewing practices of the two prominent Nigerian television interviewers. Objective: The study comparatively examined the interviewing styles of Seun Okinbaloye of Channels Television’s Politics Today and Rufai Oseni of ARISE News’ The Morning Show, with particular attention to question type, question length, interruptions and follow-ups, interviewer tone, interpersonal style, and ideological orientation. Method: The study adopted a quantitative content analysis design. Eighty-six episodes of the two selected programmes broadcast over a 12-month period in 2025 were selected using the composite week sampling technique. Data were collected with a structured coding sheet developed to capture the identified interviewing characteristics. The coded data were analysed using descriptive statistics, including frequencies and percentages. Result: The findings showed that both interviewers predominantly employed open-ended questions, although Oseni recorded a higher proportion (93.0%) than Okinbaloye (72.7%). Short questions of 0–2 minutes dominated the interviews of both presenters, accounting for 93.6% for Oseni and 91.4% for Okinbaloye. Oseni recorded more interruptions and follow-up questions, whereas Okinbaloye recorded a higher proportion of interactions without interruptions or follow-ups. Neutral tone and conversational interpersonal style were dominant among both interviewers. However, Oseni recorded a higher proportion of objective/balanced interviews (81.3%) than Okinbaloye (61.5%), while Okinbaloye recorded a higher proportion of advocacy-oriented interviews (38.5%) than Oseni (18.7%). Conclusion: The study concludes that Seun Okinbaloye and Rufai Oseni share important core characteristics of television interviewing, particularly their preference for open-ended questions, short questions, neutral tone, and conversational interaction. Nevertheless, they differ noticeably in the frequency of follow-ups and interruptions and in their ideological orientation, suggesting distinctive approaches to managing political interviews and engaging interviewees. Unique Contribution: The study contributes empirical evidence to the understanding of contemporary Nigerian television interviewing by providing a comparative assessment of the interviewing practices of two influential broadcast journalists. It demonstrates how specific interactional and questioning techniques distinguish their approaches to political television discourse and provides a basis for evaluating professional interviewing practices within the Nigerian broadcast environment. Key Recommendation: The study recommends continuous professional development and training for television interviewers, particularly in effective questioning, follow-up techniques, interruption management, and interactional strategies, to strengthen balanced, ethical, and professionally responsible political interviewing. Keyword: Interviewing styles, Seun Okinbaloye, Rufia Oseni, Discourse Ethics, Television