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Publications - 6525

Role of economic complexity and technological innovation for ecological footprint in newly industrialized countries: Does geothermal energy consumption matter?

Laszlo Vasa Yuriy Bilan Beata Zofia Filipiak Muhammad Adnan Bashir Zhao Dengfeng

Publication Name: Renewable Energy

Publication Date: 2023-11-01

Volume: 217

Issue: Unknown

Page Range: Unknown

Description:

This research evaluates how energy (geothermal and coal), economic complexity, and technological innovation impact the ecological footprint in newly industrialized countries (NICs), considering the period 1990–2018. The authors employed economic complexity, technological innovation, and ecological footprint as significant considerations instead of standard environmental and economic parameters. The study used cross-sectional augmented distributed lag (CS-ARDL) and the pairwise Dumitrescu-Hurlin (DH) panel causality to consider the dynamic character of the correlation between the Environment and economic activities. The outcomes of the CS-ARDL showed that economic growth and coal energy intensify ecological footprint in both the long and short run. However, CS-ARDL results revealed that geothermal energy consumption, economic complexity, and technological innovation lessen the ecological footprint in NICs in the long and short run. Finally, the DH causality results revealed a unidirectional causality from geothermal, technological innovation, economic complexity, and coal energy use to ecological footprint. This demonstrates that all the exogenous variables have a predicted power on the ecological footprints in NICs. Based on these findings, policy measures to diversify products have the potential to tackle ecological problems.

Open Access: Yes

DOI: 10.1016/j.renene.2023.119059

Critical impact of automobile industry with advanced decision support system and Aczél-Alsina Hammy mean operators

Dragan Pamucar Zeeshan Ali Abrar Hussain Kifayat Ullah

Publication Name: Scientific Reports

Publication Date: 2026-12-01

Volume: 16

Issue: 1

Page Range: Unknown

Description:

The automobile industry plays a pivotal role in global economic development, technological innovation, and sustainable mobility solutions. It drives advancements in engineering, manufacturing, and smart technologies and influences transportation systems. A decision analysis system in the automobile industry serves as a structured framework to evaluate complex choices involving design, production, supply chain, marketing, and sustainability strategies based on vague human information. To achieve the main goal of this article, we explore the concepts of spherical fuzzy sets (SFSs) for handling uncertainty and vagueness in human judgments. The SFS is a more efficient and broader fuzzy framework that has extensive information about an object. Besides the concepts discussed in the fuzzy framework, we also modify the theory of Hamy mean (HM) models under Aczel Alsina operations. By combining two different theories of Aczel Alsina operations and Hamy mean models, we derive a family of mathematical models, namely spherical fuzzy Aczel Alsina Hamy mean (SFAHM) and spherical fuzzy Aczel Alsina weighted Hamy mean (SFAWHM) operators. Moreover, another generalization of the Dual HM (DHM) models is modified in the form of spherical fuzzy Aczel Alsina DHM (SFADHM) and spherical fuzzy Aczel Alsina weighted DHM (SFAWDHM) operators. Some reliable and appropriate characteristics are also studied to demonstrate the flexibility of the proposed operators. An intelligent decision algorithm of the multi-attribute group decision-making (MAGDM) problem is discussed to resolve real-life applications and a group of expert’s opinions. To see the effectiveness and reliability of newly developed terminologies, we discussed a numerical example to choose desirable alternatives under an automobile industry system. The influence study is also presented here by setting numerous parametric values in the currently discussed methodologies. To showcase the validation and superiority of diagnosed mathematical models, we establish a comparative study to compare the results of invented approaches with the results of existing terminologies.

Open Access: Yes

DOI: 10.1038/s41598-025-24344-6

The value of routine second-look endoscopy in the management of the acute gastroduodenal ulcer bleeding

Tibor Kárász Márta Jánoki Hussam Saleh Istvan Racz Nora Dancs Katalin Szocs Andrea Szabó Zoltán Horváth Mihaly Csöndes

Publication Name: Orvosi Hetilap

Publication Date: 2009-10-01

Volume: 150

Issue: 42

Page Range: 1932-1936

Description:

The role of routine second-look endoscopy in the management of patients with acute peptic ulcer bleeding is controversial. A more precise identification of higher risk patient group, based on both clinical and endoscopic criteria, is needed to determine whether there are high-risk patients who may benefit from this management strategy. Aim: Or aim was to find out whether scheduled second-look endoscopy has any beneficial effect in the clinical outcome. Methods: Both endoscopic and clinical data were analyzed in 274 acute gastroduodenal ulcer bleeding patients. The need for repeated endoscopic haemostatic intervention was used as a measure to evaluate the potential beneficial effect of the second look endoscopy. Patients were categorized according to the Forrest classification detected during the emergency endoscopy. Results: In the subgroup of actively bleeding patients (Forrest Ia, Ib) a second endoscopic haemostasis was performed in 23.8% of cases. In the patient subgroup with visible vessel ulcers (Forrest IIa) and in those with adherent clot covered ulcers (Forrest IIb) the needs for a repeated haemostasis were 13.0% and 13.3% respectively. Despite the not statistically significant differences, remarkable clinical impact was noted favoring scheduled second look endoscopy in patients with initially active ulcer bleeding. Conclusion: In the light of the retrospective study results it may be concluded that the scheduled second look endoscopy strategy offers a beneficial clinical outcome for selected patients estimated to be a very high risk of re-bleeding following the initial endoscopic therapy for active bleeding.

Open Access: Yes

DOI: 10.1556/OH.2009.28725

In-store marketing: a strategic perspective

James E. Richard Yongqiang li Bill Merrilees László Józsa Kim Shyan Fam Jayne Krisjanous Nelson Oly Ndubisi

Publication Name: Asia Pacific Journal of Marketing and Logistics

Publication Date: 2011-03-29

Volume: 23

Issue: 2

Page Range: 165-176

Description:

Purpose – The purpose of this paper is to examine two key dimensions of instore marketing, namely instore promotions and price markdowns. These seem to be the two most important aspects of instore marketing, though other dimensions such as retail personal service are also worthy of study. Design/methodology/approach – A sample of 287 New Zealand clothing and shoe retailers was studied. Survey questions included the perceived importance of instore promotions and price markdowns. The aim was to explain these perceptions in terms of marketing strategies, threat of competition and environmental uncertainty. Findings – The results indicate that a discount marketing strategy, environmental uncertainty and emphasis on pricepromotions are key to explaining retailers' perceptions and use of specific instore marketing activities. In addition, seven key marketing activities were found to distinguish high and lowperformance retailers with respect to instore promotions. Practical implications – The study has highlighted strategic aspects of instore marketing, by focusing on two key components of instore marketing, namely instore promotion and price markdowns. The findings should provide much needed advice to retailers on the use of sales promotion tools in different environmental settings. Originality/value – This paper should prove valuable to academic researchers and retailing managers (particularly to those in smaller countries), owneroperated retail outlets, and chain stores. © 2011, Emerald Group Publishing Limited

Open Access: Yes

DOI: 10.1108/13555851111120470

SENIOR MANAGEMENT MINDSETS FOR CORPORATE SOCIAL RESPONSIBILITY

Loma Mashne Zoltán Baracskai

Publication Name: Management Croatia

Publication Date: 2024-01-01

Volume: 29

Issue: 1

Page Range: 1-17

Description:

Despite the large amount of factual data on senior management’s significant role in achieving corporate social responsibility (CSR), little effort has been devoted to shed light on the CSR decision-making process and the managerial mindsets that drive it. To fill this gap in CSR research, this study explores the CSR decision-making process and senior management mindsets regarding CSR, inductively prompted by the CSR literature and a qualitative study. This study offers a conceptual model of socially responsible decision-making based on the Doctus knowledge-based system. The model is empirically analyzed and verified through semi-structured interviews with CSR experts. Further, an inductive examination of the qualitative data using individual-level analysis revealed three different mindsets of senior management towards CSR: conformist, self-interested, and shareholder satisfaction/profit-driven mindsets.

Open Access: Yes

DOI: 10.30924/mjcmi.29.1.1

Multiple-solution heat exchanger network synthesis for enabling the best industrial implementation

Ákos Orosz Ferenc Friedler

Publication Name: Energy

Publication Date: 2020-10-01

Volume: 208

Issue: Unknown

Page Range: Unknown

Description:

The synthesis of heat recovery networks traditionally results in an optimal or suboptimal solution for the supplied set of streams and simplifying assumptions. In the current work, the assumption of a single optimal solution is replaced by the goal of generating an ordered set of optimal or quasi-optimal networks. This enables industrial engineers to further select the solution most suitable for detailed design and practical implementation. The problem is formulated for and solved by an extension of the P-graph framework for combinatorial process network optimization. The presented method for HEN synthesis generates a list of solutions ranked by the Total Annualized Cost. In addition to the feasibility, all list elements also feature a degree of heat recovery ranging from the thermodynamic maximum, down to a specified margin allowing accounting for the energy-capital trade-off. The current method is illustrated with three case studies. The obtained results demonstrate optimal solutions that cannot be generated by the Pinch-based methods or the stage-wise superstructure approaches. The proposed parameters, an upper limit on the number of heat exchangers per process stream and a maximum relaxation of utility demand compared to the Pinch targets, allow performing parametric evaluations of the resulting solutions.

Open Access: Yes

DOI: 10.1016/j.energy.2020.118330

Dynamics of Low-Pass Electrical Transmission Lines: Lie Symmetries, Solitons, Bifurcations, and Modulation Instability

Hamood Ur Rehman Dean Chou Hijaz Ahmad Taha Radwan Ifrah Iqbal

Publication Name: Journal of Nonlinear Mathematical Physics

Publication Date: 2026-12-01

Volume: 33

Issue: 1

Page Range: Unknown

Description:

Lie symmetry analysis is an effective method for solving differential equations and simplifying them by reducing their nonlinearity and order. Symmetries have a crucial role not only in differential equations but also in different scientific fields. In this study, we apply Lie symmetry analysis to investigate the symmetries of the low-pass electrical transmission lines model. Additionally, we derive the transformed equivalent forms of the equation and obtain some invariant solutions. The article discusses the discovery of novel soliton wave solutions and their propagation characteristics within nonlinear low-pass electrical transmission lines. By employing a new mapping method, the study establishes various types of soliton solutions for the nonlinear evolution equations governing the behavior of nonlinear low-pass electrical transmission lines. The governed equation in this study can be used to improve signal transmission in optical fiber communication, electrical networks, power nonlinear signal filtering and grid stability. The study also incorporates a bifurcation analysis to explore different solution branches of the governing model, shedding light on the system’s complex dynamics. By the Hamiltonian system, the study investigates phase portraits that illustrate the flow of solutions. The linear stability analysis is also examined to check the modulation instability of the solitons. This analysis is significant for understanding the small disturbances in the system that affect the wave propagation. The results of the study are visually presented via 3D plots, 2D and contour plots generated with Maples software. These visual aids validate the analytical findings and provide a clear representation of the wave behavior in nonlinear low-pass electrical transmission lines. The soliton solutions derived are new and contribute to a deeper understanding of nonlinear wave phenomena in electrical transmission lines.

Open Access: Yes

DOI: 10.1007/s44198-025-00356-8

Cluster analysis selecting tools using quadri partitioned Pythagorean neutrosophic normal interval-valued set with an aggregation operators

Dragan Pamucar Nasreen Kausar Murugan Palanikumar Vladimir Simic

Publication Name: Journal of Mathematics and Computer Science

Publication Date: 2025-01-01

Volume: 41

Issue: 4

Page Range: 487-518

Description:

The goal of a quadri partitioned Pythagorean neutrosophic normal interval-valued fuzzy set (QPPNNIVFS) is to provide the neutrosophic sets a more comprehensive mathematical foundation. QPPNNIVFS divides the indeterminacy component into unknown and contradiction classes. The several aggregating operations that have been understood thus far are discussed here. The fuzzy weighted QPPNNIVFW averaging (QPPNNIVFWA), QPPNNIVFW geometric (QPPNNIVFWG), generalized QPPNNIVFW averaging (GQPPNNIVFWA) and generalized QPPNNIVFW geometric (GQPPNNIVFWG) are considered as a novel concept. We show that algebraic structures like associative, distributive, idempotent, bounded, commutative, and monotonic characteristics are satisfied by QPPNNIVFSs. We illustrate the practical applications of increased Euclidean distance, Hamming distance, score, and accuracy values. Unless there is a mathematical justification for selecting one cluster technique over another, the clustering strategy must be selected empirically. An algorithm that performs well on one set of data will not perform well on another. There are several approaches of conducting cluster analysis. These include social network analysis, distribution-based, density-based, centroid-based and hierarchical. Therefore, it is clear that the natural number θ has a big impact on the models. To illustrate the comparison analysis, sensitivity analysis and the validity of our suggested methodologies are also conducted. The outcomes will be very helpful to decision makers in handling uncertain and conflicting data effectively.

Open Access: Yes

DOI: 10.22436/jmcs.041.04.03

Results of Joint Experiments and other IAEA activities on research using small tokamaks

E. Sukhov G. M. Vorobjev A. Singh V. Weinzettl N. Dreval B. Kuteev G. Mank H. Figueiredo G. Kirnev D. Nurov R. Gonzales A. Malaquias I. Ďuran I. El Chama Neto A. W. Kraemer-Flecken N. Kirneva A. Melnikov P. Khorshid M. Hron P. Peleman J. Sentkerestiova A. Fonseca C. R. Gutierrez Tapia J. Zajac M. Berta A. Talebitaher M. Sokolov V. Vershkov D. Valcrcel L. Petrov M. Kolokoltsov J. Herrera A. Czarnecka A. Sharnin V. Pavlov J. G. Ferreira J. Brotankova J. Stockel M. Gryaznevich R. Dejarnac G. Van Oost E. Dufkova F. J.R. Simes L. A. Berni B. Tl E. Del Bosco V. Soldatov B. Brotas P. Carvalho P. Balan C. Silva R. Gomes M. Nieto-Perez V. Budaev Y. Kuznetsov L. Ruchko H. Hegazy A. Ovsyannikov R. Coelho A. Duarte J. Santos H. Hegazy I. Nedzelski A. Neto G. Ramos J. Figueiredo H. Fernandes L. I. Krupnik S. Zoletnik B. Brotas D. Dunai

Publication Name: Nuclear Fusion

Publication Date: 2009-09-21

Volume: 49

Issue: 10

Page Range: Unknown

Description:

This paper presents an overview of the results obtained during the Joint Experiments organized in the framework of the IAEA Coordinated Research Project on 'Joint Research Using Small Tokamaks' that have been carried out on the tokamaks CASTOR at IPP Prague, Czech Republic (2005), T-10 at RRC 'Kurchatov Institute', Moscow, Russia (2006), and the most recent one at ISTTOK at IST, Lisbon, Portugal, in 2007. Experimental programmes were aimed at diagnosing and characterizing the core and the edge plasma turbulence in a tokamak in order to investigate correlations between the occurrence of transport barriers, improved confinement, electric fields and electrostatic turbulence using advanced diagnostics with high spatial and temporal resolution. On CASTOR and ISTTOK, electric fields were generated by biasing an electrode inserted into the edge plasma and an improvement of the global particle confinement induced by the electrode positive biasing has been observed. Geodesic acoustic modes were studied using heavy ion beam diagnostics on T-10 and ISTTOK and correlation reflectometry on T-10. ISTTOK is equipped with a gallium jet injector and the technical feasibility of gallium jets interacting with plasmas has been investigated in pulsed and ac operation. The first Joint Experiments have clearly demonstrated that small tokamaks are suitable for broad international cooperation to conduct dedicated joint research programmes. Other activities within the IAEA Coordinated Research Project on Joint Research Using Small Tokamaks are also overviewed. © 2009 IAEA, Vienna.

Open Access: Yes

DOI: 10.1088/0029-5515/49/10/104026