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Publications - 6278

Identification and interpretation of acausal synchronistic cognitive patterns in the long-run dream-series of Carl Jung and Wolfgang Pauli (1947-1956) Part II. Pauli as observer for Jung's past experiences

Publication Name: 4th IEEE International Conference on Cognitive Infocommunications Coginfocom 2013 Proceedings

Publication Date: 2013-01-01

Volume: Unknown

Issue: Unknown

Page Range: 711-724

Description:

The paper deals with the identification and interpretation of 'unconscious' cognitive images, patterns and ideas according to some remarkable synchronistic phenomena in the acausal mostly unconscious 'relationship' of Carl Gustav Jung and Wolfgang Ernst Pauli at the period of 1947-1956 on the basis of Pauli's 'observation' related to Jung's past 'experiences.' © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2013.6719193

Innovative knowledge-based system for forecasting daily hotel operations amid external events using multi-source data: A time-varying parameter state-space model

Publication Name: Journal of Innovation and Knowledge

Publication Date: 2026-01-01

Volume: 11

Issue: Unknown

Page Range: Unknown

Description:

Forecasting hotel occupancy during external shocks is particularly challenging due to their disruptive effects. This study develops a forecasting framework that integrates multisource data using a time-varying parameter state-space model (TVP-SSM). In this framework, search engine data (SED) are used to construct exogenous variables, intervention variables are used to reflect the severity of external shocks, and holiday and weekend dummy variables are used to capture the seasonal effect. The empirical study used a dataset from the hospitality industry in Hangzhou, China, covering the period from October 1, 2019, to October 28, 2021, and identified the COVID-19 pandemic as an external shock. The results show that TVP-SSM can effectively simulate the dynamic impact of external events and the periodical effect on hotel occupancy. Additionally, the prediction accuracy of TVP-SSM with intervention variables and periodical variables (TVP-SSM-1) exceeds that of competitive models. Specifically, compared to the naïve model and TVP-SSM without intervention variables and periodic variables (TVP-SSM-2), the prediction accuracy, measured by the root mean square error (RMSE) and mean absolute percentage error (MAPE), increased by 86 % and 87 %, respectively, and by 74 % and 76 %, respectively. These results indicate that the forecasting framework proposed in this study exhibits superior forecasting performance and demonstrates its capability for dynamic impact analysis of hotel occupancy at the industry level under external shocks.

Open Access: Yes

DOI: 10.1016/j.jik.2025.100858

Exploring the Interrelationships Among Supply Chain Emissions, Financial Performance, Market Value, and Board Sustainability: An Exploration of the European Landscape

Publication Name: Corporate Social Responsibility and Environmental Management

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

National and supranational institutions are establishing emission trading systems and control schemes in an attempt to manage stakeholders' willingness to engage with regulatory systems and reduce greenhouse gas emissions (GHG). Nonetheless, despite the national and supranational focus on carbon neutrality, little research has been centered around the interrelationships impacting organizations' scope 2 and 3 GHG emissions. Specifically, scholars underscore the need to test the link between scope 2 and 3 emissions and organizations' financial performance, market value, and governance bodies. Henceforth, this article seeks to examine the interrelationships between organizations' financial performance, market value, board sustainability, and their scope 2 and 3 GHG emissions. This manuscript is informed by a multidimensional socio-economic-based theoretical framework. This research uses a panel dataset composed of 437 publicly listed companies whose headquarters are located in Europe. The sample focuses on European companies given its agenda to become carbon neutral by 2050. The obtained findings suggest a positive association between organizations' supply chain emissions and their market value. Moreover, it is possible to observe a positive association between organizations' supply chain GHG and their financial performance. Finally, the authors observe a positive association between organizations' board sustainability and their supply chain GHG emissions and market value. The foregoing findings are robust and do not present concerning issues related to endogeneity and sample selection bias. This manuscript carries both theoretical and managerial implications. First, it underscores the legitimization route that firms may undertake through climate change initiatives to enhance their market value. Second, the results might suggest the symbolic impact European emission trading systems and control schemes might have on stakeholders and firms. Third, the obtained results underscore the importance of the link between governance and environmental sustainability by extending this link between scope 2 and 3 emissions and sustainability board committees. Moreover, this manuscript underscores the importance of stakeholders' interest in environmental sustainability proxies such as GHG emissions. Finally, the manuscript underscores the complexity that remains in managing entities' supply chain GHG emissions.

Open Access: Yes

DOI: 10.1002/csr.70398

Quantifying the role of digitalization, financial technology, governance and SDG13 in achieving environment conservation in the perspective of emerging economies

Publication Name: Environment Development and Sustainability

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Digitalization and fintech are essential in improving financial service delivery and helping businesses and consumers manage their financial services better. Since its successful trial during the COVID-19 measures, digitalization and fintech have emerged as a new hope for low-carbon sustainable economic development. Therefore, advanced and emerging economies concentrate on digitalization (DIG) and fintech to meet carbon neutrality requirements. Thus, this study helps understand the significance of elements in gaining environmental conservation and aims to develop a relevant relationship between digitalization, fintech, SDG13, and governance. To achieve the abovementioned objectives of this study, some modern and traditional econometric tools and methods were adopted, such as ARDL and Q-ARDL, to assess the selected emerging economies dataset from 1990 to 2022. The results of this study show that the study’s components are crucial in achieving environmental preservation over the long run in emerging economies. Moreover, Q-ARDL indicates that every factor in this study influences environmental conservation in different quantiles. Consequently, the Environmental Kuznets curve prevails in the economy, and the long-term attainment of carbon neutrality is greatly assisted by digitization, fintech, governance, and SDG13. Hence, it is essential to implement extensive and far-reaching policy measures in various domains such as environmental regulations, promotion of the digital economy, regulation and sustainable technology, and utilization of clean energy resources.

Open Access: Yes

DOI: 10.1007/s10668-024-05940-4

Energy-growth nexus for ‘Renewable Energy Country Attractiveness Index’ countries: Evidence from new econometric methods

Publication Name: Geoscience Frontiers

Publication Date: 2024-05-01

Volume: 15

Issue: 3

Page Range: Unknown

Description:

This study explores the connections between renewable energy consumption (REC), non-renewable energy consumption (NREC), gross fixed capital formation (GFCF), the labor force (LF), and economic growth (GDP) in Renewable Energy Country Attractiveness Index (RECAI) countries for 1991–2016. We quantify the nexus between REC, NREC, and GDP while utilizing a production model framework and including the measures of labor and capital, for suggesting a phase-wise strategy to attain the sustainable development goals. We use robust methodologies including Lagrange Multiplier (LM) panel unit root tests with trend shifts, Westerlund cointegration test, LM bootstrap technique for cointegration with breaks, continuously updated fully modified (CUP-FM) and continuously updated bias-corrected (CUP-BC) estimators, Augmented Mean Group (AMG) approach, fully modified ordinary least squares, dynamic ordinary least squares, Canonical Cointegrating Regression (CCR), and panel causality test proposed by Canning & Pedroni. We compute non-parametric time-varying coefficients with fixed effects for seeing the impact of GFCF, LF, REC, and NREC on GDP. Our results press upon policymakers to shift toward clean energy and REC for attaining the environmental goals (SDGs 6, 7, 13, and 15) and the economic goals (SDGs 1, 2, 8, and 10). While this shift would help developed economies, which have already attained the economic goals, to progress on the front of environmental goals, it would enable developing countries to progress on both fronts in a balanced manner.

Open Access: Yes

DOI: 10.1016/j.gsf.2023.101704

Defining Synergies Between Robotics, Cognitive Infocommunications and Internet of Digital Reality

Publication Name: 2022 IEEE 1st International Conference on Internet of Digital Reality Iod 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 75-82

Description:

Robotic applications have prominently emerged in automating a wide range of high-precision tasks in industry, logistics, health and military applications. More recently, applications focused on socio-cultural contexts, such as caretaking and personal assistance, have begun to gain traction. In parallel, earlier focus on mechanical and mathematical/control solutions has visibly shifted toward aspects of intelligent and collaborative functions. These changes have brought various aspects of the fields of cognitive infocommunications (CogInfoCom) and Internet of Digital Reality (IoD) to the forefront, both in terms of design methodologies and application areas. While CogInfoCom places emphasis on new kinds of cognitive capabilities / entities that are neither purely human, nor purely artificial, IoD highlights the integration of such capabilities and entities in networked settings created to support specific semantic contexts. Importantly, the scope of such capabilities and/or entities is not limited only to intelligent agents and collaborating humans but also to less capable agents (e.g., cyber-physical and industrial control devices). In a socio-cultural context, the interaction between a robot and other agents (particularly a human) can be viewed as the communication of cognitive entities through some form of Cognitive Infocommunication channels. This paper proposes a new way to view the communication between intelligent robots and cognitive entities.

Open Access: Yes

DOI: 10.1109/IoD55468.2022.9986775

University lecturers' distance learning experiences gained during the COVID-19 pandemic period

Publication Name: 11th IEEE International Conference on Cognitive Infocommunications Coginfocom 2020 Proceedings

Publication Date: 2020-09-23

Volume: Unknown

Issue: Unknown

Page Range: 325-330

Description:

Semester 2 of the academic year 2019/2020 has brought along a special situation and a variety of new solutions in education throughout the world. The emerging pandemic situation changed the system considerably by impeding both lecturers and students from working and meeting personally. Transition to online, distance education has also presented new challenges to educators, parents, teachers, university lecturers and students, as well as a new path of development. During our research, the experiences and difficulties gained by the members of Apaczai Csere Janos Faculty at Szechenyi István University in the past semester were examined with the help of an online questionnaire. Preliminary results show that the semester of distance learning, despite its difficulties, brought several positive results that enhanced teachers' creativity, pedagogical competencies as well as methodological culture of how the different tools and programs were used.

Open Access: Yes

DOI: 10.1109/CogInfoCom50765.2020.9237890

Assessment of combined high-speed passenger and freight train movement to mitigate environmental impact

Publication Name: Iop Conference Series Earth and Environmental Science

Publication Date: 2025-01-01

Volume: 1491

Issue: 1

Page Range: Unknown

Description:

The purpose of the study is to investigate the primary reasons for the feasibility of the combined movement of high-speed passenger and freight trains. The research includes the analysis and theoretical synthesis of materials related to the combined movement of high-speed passenger and freight trains in European Union countries. The combination of different train categories on high-speed rail lines is not only possible but also, under certain conditions, advisable. The main reasons for arranging sections of combined passenger and freight movement include overcoming contour or height obstacles and justifying investments in the construction of high-speed railways where the demand for passenger transportation is insufficient and profitability is ensured through additional income from cargo transportation. The combined movement of high-speed passenger and freight trains can reduce environmental impact by ensuring the efficient use of railway infrastructure and decreasing transport emissions. The authors have proposed a comprehensive approach to assessing the effectiveness of implementing the movement of high-speed passenger and accelerated freight trains, considering the net present value and ensuring the capacity of the double-track railway line during concurrent train movements. The research results enable enhancing the stability of railway transportation on high-speed railways.

Open Access: Yes

DOI: 10.1088/1755-1315/1491/1/012023

The correspondences between formwork geometry and concrete composition in the case of fair-faced concrete elements

Publication Name: Pollack Periodica

Publication Date: 2018-08-01

Volume: 13

Issue: 2

Page Range: 43-54

Description:

Modern architecture is unimaginable without fair-faced concrete. However, there is no generally accepted method for design the suitable concrete composition to get the required surface quality. This paper presents the effect of saturation degree on fair-faced concrete surfaces and raises additional research areas with regard to the formwork geometry and packing density of aggregate. This study is the first part of a wider research that aims to work out a method for determination of the adequate saturation degree of cement paste depending on the geometrical proportions of the formwork to reach the highest surface quality.

Open Access: Yes

DOI: 10.1556/606.2018.13.2.5