University Industry Research Articles

Energy policy to overcome energy efficiency barriers: A Literature Review

This paper examines the pervasive barriers hindering the widespread adoption of energy efficiency measures across various sectors. It categorizes these barriers into economic barriers, high upfront costs, organizational challenges, such as technical expertise and behavioral barriers, namely risk aversion and framing. To address these barriers, a comprehensive review of energy efficiency policies is conducted. These policies include incentives, coercive instruments, award systems, university industry collaboration, and technical support. To review energy efficiency barriers and policies, a methodological approach integrating non-structured snowball sampling with targeted literature review techniques was devised. Finally, the paper underlines that the success of these policies is contingent upon the active involvement, the collaboration, and the feedback of businesses, ensuring the feasibility of these policies. Their proactive engagement is indispensable in tackling energy efficiency barriers and driving the implementation of energy-efficient technologies, thus paving the way for a more sustainable and competitive businesses.

ПСИХОЛОГИЧЕСКИЕ АСПЕКТЫ ОБРАЗОВАТЕЛЬНОГО ПРОЦЕССА

In the context of today’s educational transformation hybrid learning is becoming increasingly popular. Hybrid learning is an innovative form of educational process organization, in which a part of traditional classroom training is replaced by learning in the digital environment. The article describes the hydride leaning practice at Industrial University of Tyumen. It presents the results of a survey of students’ satisfaction with hybrid learning. The survey showed that classroom setting remains the most effective way of acquiring knowledge and the most convenient format for educational interaction. However, hybrid learning allows students to find a better combination of academic and extracurricular activities and use their time more efficiently.

Research on Industry University Research Cooperation in Artificial Intelligence Technology

Research on Industry University Research Cooperation in Artificial Intelligence Technology

高等职业院校护理专业产业学院建设研究

高等职业院校护理专业产业学院建设研究

Exploration on the Cultivation Path of “Four Integrations” Talents for Logistics Management Major under the Background of Construction of Modern Industry College

Exploration on the Cultivation Path of “Four Integrations” Talents for Logistics Management Major under the Background of Construction of Modern Industry College

Analysis of Deep Learning Techniques to Facilitate Automation of Financial Statements for Accounting Programs in Higher Education Institutions

Abstract The rapid development of information technology and mobile Internet technology has brought about innovations in the field of education. The application of financial statement automation analysis methods in the teaching of accounting majors in higher vocational colleges and universities is conducive to improving the quality of the training of accounting talents in higher vocational colleges and universities so as to accelerate the construction of the modern accounting industry college. This study proposes the application of relevant deep learning techniques in the process of automated analysis of financial statements in terms of recognition and analysis, such as text detection based on CTPN and text recognition technology based on CRNN-Attention, which makes the processing of financial statements more automated and intelligent. It is also proposed to utilize the K-means algorithm to perform cluster analysis on the model output to extract the financial status of the company. To evaluate the model’s performance, several financial statement images of 12 companies are sampled for example analysis. The experimental data shows that the model has a high percentage of image skew correction, e.g., the ratio of image skew correction for the income statement and cash flow statement is 100%. The recognition speed of the model is also faster, with the consumption time of the profit and loss statement recognition task being around 0.3 seconds in 20 tests. In the financial statement analysis session, each of the three clusters of companies under the K-means algorithm clustering has its characteristics, with the first cluster of companies having a stronger quality of earnings, the third cluster of companies having outstanding profitability, and the second cluster of companies having average indicator data.

A new model of modern industrial colleges in application-oriented universities, based on the theory of harmony and symbiosis

A new model of modern industrial colleges in application-oriented universities, based on the theory of harmony and symbiosis

Research on the Construction of Modern Industrial College in China

Research on the Construction of Modern Industrial College in China

Research on the Driving Force and Path Innovation of the Construction of Shandong Modern Service Industry College

Research on the Driving Force and Path Innovation of the Construction of Shandong Modern Service Industry College

Industry Leading and Agile Training: Exploring and Practicing the Path of Applied Talent Cultivation in Modern Industry College

Industry Leading and Agile Training: Exploring and Practicing the Path of Applied Talent Cultivation in Modern Industry College

Objectives of University Industry Collaboration in Nepal: Observation of Students, Professors and Industrial Leaders

The collaborative relationship between university and industry is becoming crucial research phenomena for professors, students, industrial leaders, government and the general public in the advanced developing as well as underdeveloped economies. It has become more imperative to the management schools and institutes and research centers. In the prevailing knowledge economy universities are called to produce innovative and creative manpower ready to job in the organizations. This research was conducted in Nepalese business management schools operating under the three leading universities, namely Tribhuvan University, Pokhara University and Kathmandu University. Apart from the students and professors, the perception of business community leaders also has been included in regard to attainability of the objectives of university industry collaboration in Nepal. The objective of the study was to find the perception of students, course facilitators and industrial leaders about the level of attainability of the stated objective of UIC. With some differences all respondentsfound the objectives of UIC are attainable in Nepal. Such kind of research is important to the universities, especially business management educators, the industries and the government to frame education policy and curriculum.

BOOK REVIEW: Arun Mahapatra, art of retailing. New Delhi: Lutus press publishers and distributors, 2015, 156 pp. ISBN: ‎ 978-81-8382-208-4

With a rising scholarly and practical interest in retailing, the global retail industry is experiencing significant growth. This trend is anticipated to persist, capturing widespread attention from various economic sectors, consumers, entrepreneurs, and investors in the coming decades. The industry is poised for expansive global magnification, fostering job creation and socio-economic development. This review aims to elucidate the integration of the retailing industry within the logistics of business growth. "Art of retailing" emerges as a valuable resource for retail industry professionals, lecturers, professors, and university students engaged in business studies, marketing, procurement, and entrepreneurship programs. Despite its merits, the text's principal drawback lies in its failure to present world-class illustrations, case studies, exhibits, checkpoint questions, and summaries, which are pivotal for reinforcing concepts in each chapter. Nevertheless, researchers in the retail sector can benefit from the contextual insights and identified gaps, paving the way for further studies. The untapped areas highlighted in the text are recommended to enhance the book's significance in the context of the pivotal subject of e-retailing in the contemporary era.

Improvement of research and academic process in Tyumen Industrial University based on interaction with Tyumen Petroleum Research Center and application of digital technologies

Improvement of research and academic process in Tyumen Industrial University based on interaction with Tyumen Petroleum Research Center and application of digital technologies

Digital core: study of textural heterogeneities in a rock

Relevance. When real fluid flows through channels of limited dimensions, it experiences a constant loss of mechanical energy (hydraulic resistance) due to the action of viscous friction. Hydraulic drag has two components: drag along the length of the flow and local drag. The drag along the length of the flow arises because the fluid encounters a force per unit area perpendicular to the direction of the flow. Local drag results from the viscous interaction between the fluid and the channel walls. Local hydraulic resistances include sudden and gradual constrictions/expansions (diffusers/confusions) of the fluid channel, angular and choke gaps. The value of the hydraulic resistance coefficient depends on the type of channel geometry, conditions of fluid entry (wettability of the rock texture) and on the flow regime. When fluid flows through channels of different cross-section, as the channel narrows, the flow velocity increases and the pressure, based on Bernoulli's equation, decreases. Objects. Polymictic sandstones of the Tyumen Formation. Methods. The developed algorithms for identifying areas of contraction/expansion (confusers/diffusers) in the rock texture (polymictic sandstone) are based on neural network reconstruction of core data. The study of geometric diversity of geological rock images is based on generalization of real spatial forms in combination with the axiom of hyperplanes. A methodical approach for finding distribution of inertial exciters (confusers/diffusers) affecting the character of multiphase flow front changes in the rock texture is based on the metrics for estimating possible distributions. Results. The paper introduces the initial stages of core digital transformation data. It was determined that the main problem of geological data digital projection on a large scale is the need to take into account the systems of inertial effects, both in the available volume of the rock and in the extrapolated space of it. In order to adequately represent the character of multiphase fluid flow for different scales, the authors have developed the algorithms for segmentation of geological images of fluid space with further identification of distribution laws of inertial exciters (confusers/diffusers) in the rock texture. For training and testing of the developed algorithms we used the computer tomography images of core material and detailed resolution images of rock sections. The source code of neural network algorithms was written in the Python programming language with the additional use of non-commercial libraries. The algorithms were tested on real data, confirming by experimental studies in the laboratory of digital research in oil and gas as part of the technological project "Digital Core" (Industrial University of Tyumen, Tyumen), the laboratory of the V.I. Shpilman Research and Analytical Center for Rational Subsoil Use (Khanty-Mansiysk), Core Research Laboratory (University of Tyumen, Tyumen).

ON THE UNION OF MATTER AND FORM: GROUP THEORETICAL APPROACH

What are space and time? What do elementary particles and elements of the periodic table have in common? These and other equally intriguing questions are discussed in this interview with Professor of Siberian State industrial University Vadim Varlamov.

Exploring Students’ Acceptance of Construction Information Technology: The Development of a Comprehensive Technology Acceptance Model for the Design of an Education Program at a Japanese University

Construction information technology (CIT), particularly building information modeling, is globally embraced in industry but relatively new to Japanese universities because of its unique interdisciplinary nature. This presents challenges for students and instructors. Promoting the widespread adoption of CIT in Japan necessitates the development of undergraduates’ proficiency in hard and soft engineering. The problem is that Japanese universities lack research and curricula concerning CIT education—a deficiency that raises the need to evaluate students’ perceptions and acceptance of such education. This study is an initial endeavor to fulfill this need, with a view to providing curriculum recommendations and insights into the issue of interest via the analysis of students’ awareness by developing a comprehensive technology acceptance model (TAM). The findings revealed that students’ exposure to and knowledge of CIT during their university education significantly influence their perception of its utility, thereby affecting their acceptance of CIT courses. Their perception of the usefulness of CIT in future employment is a more influential factor in their willingness or readiness to accept and participate in CIT courses than its perceived importance for industry development. To facilitate the advancement of the construction sector, stakeholders should develop an industry–university collaboration-based education program that bridges the gap between academic and industry needs, creates job opportunities for students, and nurtures talent.

University–industry linkages and agendas for future studies: a systematic literature review and bibliometric analysis

PurposeThis study aims to theoretically and experimentally investigate the literature on university–industry linkages (UILs) through a systematic literature review and bibliometric analysis. Seven research questions were addressed in the present study: (1) descriptive characteristics of the literature on UIL, (2) trends of annual scientific publications on UIL, (3) the most relevant and high-impact sources on UIL, (4) the most globally cited articles on UIL, (5) the most relevant countries on UIL, (6) outcomes of Bradford's Law of Scattering and Lotka's Law of scientific productivity and (7) the trending research areas and avenues for future studies on UIL.Design/methodology/approach Systematic literature review and bibliometric analysis mapping techniques were applied to the present study to analyze 907 articles extracted from the Scopus database. Analysis tools used were Biblioshiny software and VOSviewer software.Findings Findings show that the UIL is a progressively growing discipline with a record of a 5.71% average annual growth rate in scientific production each year from 1970 to 2023. The United States, China and the United Kingdom were the most productive countries in the field of UIL in terms of total scientific production and citations. Academic entrepreneurship, industrial ecology, social network analysis, active learning, engineering education, health economics, public health, university–industry relationships, communication, causal layered analysis and competitiveness are the potential avenues for future researchers in the field of UIL based on the thematic map of keywords analysis.Originality/value This study contributes to the debate on UIL by offering a comprehensive literature review. The findings of the current study will benefit graduates, universities, industries and the community at large.

Peculiarities of Master’s Degree Student training for the transport construction field in Tyumen Industrial University

The peculiarities of the educational process organization during the training of masters of engineering and technology students on the «Project management of construction of bridges and overpasses on highways» and «Digital construction» majors at the industrial academic department «AO-Mostostostostroy-11» of Tyumen Industrial University are considered. The disciplines studied by master students of these majors are briefly summarized. A rather representative list of graduate qualification works topics, defended by master students, with the indication of publications in journals from the Higher Attestation Commission list on these topics is given. There is a final qualification works list of topics offered to master students who entered the Master’s program in this 2023 year. Efficient organization of master’s students training was possible due to the joint work of «AO Mostostroy-11» with Tyumen Industrial University and invitation of scientists and teachers, known for their works among bridge-builders in Russia and abroad, for master’s students training. In the process of master’s students training, there are guided tours being organized for master’s students to the structural subdivisions of «Mostostroy-11 JSC», all of them participate in scientific conferences, and also with the support of «Mostostroy-11 JSC» get acquainted with modern achievements of the construction industry at the international construction forum and exhibition «100+ TechnoBUILD» in Yekaterinburg. This situation with training of highly-qualified personnel is not observed in all universities. Despite the great shortage of bridge-building specialist, for some reason nobody pays attention to the huge deficit of qualified teachers of bridge (and not only bridge) engineering in universities, which is explained by insufficient financing of the academic staff in regional universities. The management of «Mostostroy-11 JSC» correctly assessed its needs in highly qualified personnel and made unique efforts to create a basic department and to invite and create conditions for effective work for teachers.

Conceptual Aspects of State Support for the Commercialization of FSTDP Results

It has been established that the commercialization of innovative products in the agro-industrial complex is associated with new scientific research results and innovations of industry universities and scientific organizations. The enhancement of commercialization depends on the effectiveness of government support. The study of the results of state support allows us to identify additional opportunities for organizational development and find the mechanisms for managing commercialization, taking into account the strategies of agricultural enterprises.

Early detection of students’ failure using Machine Learning techniques

The educational system determines one of the significant strengths of an advanced society. A country with a lack of culture is less competitive due to the inequality suffered by its people. Institutions and organizations are putting their efforts into tackling that problem. Nevertheless, it is not an easy task to ascertain why their students have failed or what are the conditions that affect such situations. In this work, an intelligent system is proposed to predict academic failure by using student information stored by the Industrial University of Santander (Colombia). The prediction model is powered by the XGBoost algorithm, where a TOPSIS-based feature extraction and ADASYN oversampling have been conducted. Hyperparameters of the classifier were tuned by a cross-validated grid-search algorithm. We have compared our results with other decision-tree classifiers and displayed the feature importance of our intelligent system as an explainability phase. In conclusion, our intelligent system has shown a superior performance of our prediction model and has indicated to us that economic, health and social factors are decisive for the academic performance of the students.