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Publications - 6289

Montelukast Improves Urinary Bladder Function After Complete Spinal Cord Injury in Rats

Peter Törzsök Lukas Lusuardi Sophina Bauer Karin Roider Julia Tevini Elena E. Keller Michael Kleindorfer Ludwig Aigner Thomas Felder

Publication Name: International Journal of Molecular Sciences

Publication Date: 2025-06-01

Volume: 26

Issue: 12

Page Range: Unknown

Description:

Bladder dysfunction is among the most drastic and quality-of-life-reducing conditions after spinal cord injury (SCI). Neuroinflammation in the lower urinary tract (LUT) after SCI could be a key driver of neurogenic bladder dysfunction and tissue fibrosis. Leukotrienes, a group of highly active lipid mediators, are potent inflammatory mediators. Here, we explored the potential of early montelukast (MLK) therapy, a cysteinyl leukotriene receptor 1 antagonist, on LUT function and structure four weeks after severe SCI in rats. Rats (strain Lewis, female, n = 50) received a permanent bladder catheter, followed by a complete T9 spinal cord transection. MLK was given daily, starting on day one post-injury. Bladder and locomotor function were regularly assessed. Bladder tissue was histologically and immunhistochemically analyzed. Post-SCI, MLK concentrations in plasma and cerebrospinal fluid were clinically relevant. MLK improved bladder functionality. MLK had no impact on smooth muscle alignment and uroepithelial integrity at this early SCI time point. This pilot study gave first insights into early, continuous oral MLK treatment with the first promising results of preserved LUT function and possible subsequent improved tissue integrity.

Open Access: Yes

DOI: 10.3390/ijms26125606

Contribution to knowledge of the oribatid mite genus Achipterina (Acari, Oribatida, Ceratokalummidae)

Sergey G. Ermilov Jenő Kontschán V. M. Salavatulin Vladimir A. Khaustov

Publication Name: International Journal of Acarology

Publication Date: 2025-05-19

Volume: 51

Issue: 4

Page Range: 251-257

Description:

Achipterina (Oribatida, Ceratokalummidae) currently comprises four species, collectively distributed in the tropical and subtropical areas. We describe a new species—A. mangrovicasp. nov.—based on adults collected from litter of a mangrove forest in the Can Gio Biosphere Reserve, southern Vietnam. It is the first representative of the family discovered in the Vietnamese fauna. The new species is characterized in having a bidentate rostrum, setiform rostral and lamellar setae, long inner tooth of lamellar cusp, unilaterally fusiform bothridial seta, long interlamellar seta, dentate anterior part of pteromorph, oval and oblique notogastral porose area Aa. The morphology of the gnathosoma, ovipositor, and legs are presented for the first time for Achipterina. An identification key and summary of distribution and habitats of the known species of Achipterina are provided. http://www.zoobank.org/urn:lsid:zoobank.org:pub:906EA4DE-A0A3-475C-B273-F8327F44832F.

Open Access: Yes

DOI: 10.1080/01647954.2025.2488432

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

Tomas Baležentis Dalia Streimikiene Sichao Chen Ji Chen Qinglin Yu Kang Tong

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

A General Framework for the Experimental Characterization of Nonlinearities and its Application to a Laminated Assembly of an Electrical Motor

Balázs Vehovszky Simone Manzato Simona Anna Ottaiano Zoltán Gazdagh

Publication Name: SAE Technical Papers

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The vehicle industry being in the middle of transformation, the development of electric drives has come into engineers' focus. The parameter evaluation of dynamic systems can be cumbersome when having nonlinearity in the structure, for example nonlinear stiffness characteristics. In such case, the standard linear approach, including EMA (Experimental Modal Analysis), modal superposition, FRF measurement (Frequency Response Function) and modal synthesis can not be applied. However, one of the main challenges in addressing nonlinearities is the lack of general tools to approach them. In this paper, a general framework to study nonlinearities in a structural dynamic context is presented. The method relies on standard random and sine sweep testing approaches to detect and localize nonlinearities, and on dedicated processing techniques to analyze the data and extract information on the nature of the analyzed nonlinearity. This approach is then used to study the behavior of an assembly of a lamella package of PMSM (Permanent Magnetic Synchronous Machines), where permanent magnets are embedded in the laminations. The magnets are surrounded by resin that holds them in place in their grooves. Characterizing the dynamic properties of such a structure is a relevant task in engineering development, for verifying numerical predictions. In this case, the relative motion of lamellas as well as the heavy influence of the polymer resin's properties may result in nonlinear behavior.

Open Access: Yes

DOI: 10.4271/2022-01-0944

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

Peter Varlaki Péter Baranyi

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

The impact of cognitive load on lower limb biomechanics during the take-off phase before service in tennis players of different levels

Yaodong Gu Gusztáv Fekete Dong Sun Dongxu Wang Xuanzhen Cen Yucheng Wang Zhiyong Li Zhanyi Zhou Fengping Li Diwei Chen Bojie Xuan

Publication Name: Journal of Sports Sciences

Publication Date: 2026-01-01

Volume: 44

Issue: 7

Page Range: 896-906

Description:

This study examines the impact of cognitive load (CL) on lower limb biomechanics during the take-off preparation phase of the platform serve in tennis players of varying skill levels. Fifteen elite and fifteen amateur tennis players performed platform serves before and after completing a 30-minute Stroop task designed to induce CL. Key biomechanical parameters, including joint range of motion (ROM), joint moments, centre of mass (COM) displacement, and ground reaction force (GRF), were assessed using both kinematic and kinetic analysis. After CL, the biomechanical performance of amateur athletes significantly decreased compared to elite athletes. Specifically, amateur athletes showed a 14.19° lower ankle joint range of motion in the sagittal plane (p < 0.001), a 0.04-meter lower COM displacement in the frontal plane (p = 0.017), and a 0.15 Nm/BW lower knee extension moment (p < 0.001). CL adversely affects the lower limb biomechanics of amateur players more than elite players, with elite players demonstrating greater stability. These findings suggest that elite players have developed more efficient motor control mechanisms through extensive training. Tailored training interventions that account for different skill levels could enhance performance stability and mitigate the risk of injury.

Open Access: Yes

DOI: 10.1080/02640414.2026.2619335

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

Laszlo Vasa Xiqiang Xia Muhammad Sibt-e-Ali Weihao Yi

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

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

Judit Petra Koltai Nourah O. Alshaghdali Daniele Giordino Martina Panero

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

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

Gagan Deep Sharma Mandeep Mahendru Aviral Tiwari Mansi Gupta Solomon Nathaniel Mansi Gupta

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