bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stiffness-dependent LOX regulation via HIF-1 drives extracellular matrix modifications in psoriasis
Authors: Balsini Parvaneh , Weinzettl Pauline , Samardzic David , Zila Nina , Buchberger Maria , Tschandl Philipp , Wielscher Matthias , Weninger Wolfgang , Pfisterer Karin 
Published: May 2024

AbstractPsoriasis is a common chronic inflammatory skin disease characterized by a thickened epidermis with elongated rete ridges and massive inflammatory immune cell infiltration. It is currently unclear what impact mechanoregulatory aspects in the dermis may have on disease progression. Using multiphoton second harmonic generation microscopy we found that the extracellular matrix (ECM) was profoundly reorganized within the dermis in psoriasis compared to healthy skin. Collagen fibers were highly aligned and assembled into thick, long collagen bundles, whereas the overall fiber density was reduced in psoriasis. This was particularly pronounced within dermal papillae extending into the epidermis. Further, the enzyme LOX, a crucial posttranslational modifier of ECM molecules, was highly upregulated in the dermis of psoriasis patients.In vitrofunctional and knock-down experiments identified a novel link between HIF-1 stabilization and LOX protein regulation in mechanosensitive skin fibroblasts. LOX secretion and activity directly correlated with substrate stiffness, and was independent of hypoxia and IL-17. Finally, scRNA-seq analysis identified skin fibroblasts expressing high amounts of LOX and other ECM-relevant genes and confirmed elevated HIF-1 expression in psoriasis. Our findings suggest a potential yet undescribed mechanical aspect of psoriasis stemming from disordered ECM architecture in the papillary dermis, which could initiate a positive feedback loop in fibroblasts driven by mechanical forces. This mechanism may contribute to tissue stiffening and diminished skin elasticity in psoriasis, potentially exacerbating its pathogenesis.
Anisotropic Photodetachment of Positronium Negative Ions with Linearly Polarized Light
Authors: Michishio Koji , Chiari Luca , Tanaka Fumi , Nagashima Yasuyuki 
Published: May 2024

We report on the anisotropic photodetachment of positronium negative ions, followed by the dissociation into p-wave electrons and positronium atoms, with a linearly polarized laser beam. We have observed a strong recoil effect of the photoelectrons on the translation momentum of the dissociated positronium atoms. With polarization angle-resolved measurements, the asymmetry parameter of the photoemission angular distribution of the ions at a photon energy of 1.165 eV was determined to be 1.97±0.04(stat)±0.07(syst), in agreement with a theoretical prediction. The present method can be applied to explore the unrevealed dissociation dynamics of exotic particle systems and their manipulation with polarized light.

Published by the American Physical Society
2024
Relationship qualities of brand heritage: warmth, competence and the moderating roles of anthropomorphic factors
Authors: Meyer Caroline , Albert Bente Henrike , Rose Gregory , Orth Ulrich R. 
Published: May 2024

Purpose
Research has started exploring how brand heritage perceptions affect people. However, little attention has been paid to the underlying mechanisms and the link between brand heritage and relational outcomes. This study aims to integrate research on brand heritage with the stereotype-content model (SCM) to offer a novel explanation of why and when consumers identify with heritage brands.

Design/methodology/approach
Two quasi-experimental studies with consumers in Germany (N = 312 and N = 300) focus on multiple real brands to test the mediating roles of warmth and competence. Given the central role of anthropomorphism in brand applications of the SCM, two corresponding variables are examined as moderators, one relating to the brand (brand anthropomorphism) and the other relating to the individual (a person’s feeling of loneliness). Category involvement, state anxiety, brand familiarity, past orientation and consumer age are included as controls.

Findings
The findings indicate that warmth and competence mediate the brand heritage consumer–brand identification relationship. In addition, they highlight the moderating role of brand anthropomorphism and loneliness.

Research limitations/implications
This study offers a novel process explanation for how brand heritage perceptions influence consumer–brand relationships, contingent upon loneliness and anthropomorphism.

Practical implications
The findings help marketers better understand how and when warmth and competence transmit positive brand heritage effects, resulting in more favorable responses.

Originality/value
To the best of the authors’ knowledge, this work is among the first to adopt a stereotype-content and anthropomorphic perspective on consumer responses to brand heritage perceptions.
On the extension of a Riemann solver for RANS simulations
Authors: Buck Axel , Mundt Christian 
Published: May 2024

Purpose
Reynolds-averaged Navier–Stokes (RANS) models often perform poorly in shock/turbulence interaction regions, resulting in excessive wall heat load and incorrect representation of the separation length in shockwave/turbulent boundary layer interactions. The authors suggest that this can be traced back to inadequate numerical treatment of the inviscid fluxes. The purpose of this study is an extension to the well-known Harten, Lax, van Leer, Einfeldt (HLLE) Riemann solver to overcome this issue.

Design/methodology/approach
It explicitly takes into account the broadening of waves due to the averaging procedure, which adds numerical dissipation and reduces excessive turbulence production across shocks. The scheme is derived based on the HLLE equations, and it is tested against three numerical experiments.

Findings
Sod’s shock tube case shows that the scheme succeeds in reducing turbulence amplification across shocks. A shock-free turbulent flat plate boundary layer indicates that smooth flow at moderate turbulence intensity is largely unaffected by the scheme. A shock/turbulent boundary layer interaction case with higher turbulence intensity shows that the added numerical dissipation can, however, impair the wall heat flux distribution.

Originality/value
The proposed scheme is motivated by implicit large eddy simulations that use numerical dissipation as subgrid-scale model. Introducing physical aspects of turbulence into the numerical treatment for RANS simulations is a novel approach.
Evaluation of thermal comfort and air permeability properties of Lyocell blended drapery fabrics
Authors: Karakan Günaydın Gizem , Çeven Erhan Kenan , Çeven Nejla 
Published: May 2024

PurposeThe paper aims to provide an investigation about the effect of weft yarn type on thermal comfort and air permeability properties of Lyocell blended drapery fabrics.Design/methodology/approachThe paper evaluates the effect of weft yarn type on thermal comfort and air permeability properties of Lyocell blended drapery fabrics. Twill drapery fabrics with 18 Tex linen warp yarn where two types of weft yarns were utilized respectively with the order of “A” yarn and “B” yarn. 58 Tex Lyocell Linen blended first weft yarn (A yarn) was kept constant and the second weft yarn (B yarn) varied in different yarn structures and yarn count. Thermal comfort properties such as thermal conductivity, thermal resistivity, thermal absorptivity, fabric thickness were measured by means of Alambeta device. Correlation matrix between the thermal properties was also displayed. Air permeability results were obtained by using SDL Atlas Digital Air Permeability Tester Model M 021 A. One way analysis of variance (ANOVA) test was performed in order to investigate the effect of weft yarn type on thermal comfort and air permeability properties of Lyocell blended drapery fabrics.FindingsIn this paper, weft yarn type was found as a significant factor on some of the thermal comfort properties such as thermal conductivity, thermal resistivity, thermal absorptivity, fabric thickness and on the air permeability properties.Originality/valueThere are limited works related to evaluation of some thermal comfort and air permeability properties of Lyocell blended drapery fabrics.
Greened shopping spaces and pedestrian shopping interactions: the case of Christchurch
Authors: Dyason David , Fieger Peter , Rice John 
Published: May 2024

Purpose
The New Zealand city of Christchurch provides a leading example of post-disaster rebuilding in a Central Business District (CBD) area. In its rebuilding programme, the city has given emphasis to the greening of hospitality and traditional retail space through a combination of development of shared pedestrian spaces (with traffic exclusion and calming) and the integration of greening within the streetscape design. This paper aims to assess whether the development of greened pedestrian areas leads to higher retail spending and, thus, retail rental rates.

Design/methodology/approach
This study uses pedestrian movement data collected from several CBD locations, as well as spending data on retail and hospitality, to assess relationships between pedestrian movements and spending. This study explores retail spending in greened pedestrian shared spaces, and explores how this differs from retail spending in traditional street areas within the Christchurch CBD.

Findings
Spending patterns are location-related, depending on the characteristics of pedestrian space in the selected area. Greened shared pedestrian areas have the highest spending per measured pedestrian for retail and hospitality, whereas traditional street areas have lower spending for retail and hospitality per measured pedestrian, demonstrating the benefits in redeveloped central city areas.

Originality/value
The scope of smart data continues to develop as a research area within urban studies to develop an open and connected city. This research demonstrates the use of innovative technologies for data collection, use and sharing. The results support commercial benefits of greening and pedestrianisation of retail and hospitality areas for CBDs and providing an example for other cities to follow.
Exploring the dual routes in influencing sales and adoption in augmented reality retailing: a mixed approach of SEM and FsQCA
Authors: Xu Xiaoyu , Jia Qingdan , Tayyab Syed Muhammad Usman 
Published: May 2024

PurposeThis study investigates augmented reality (AR) retailing and attempts to develop a profound understanding of consumer decision-making processes in AR-enabled e-retailing.Design/methodology/approachThe study is grounded in rich informational cues and information processing mechanisms by incorporating the elaboration likelihood model (ELM) and trust transfer theory. This study employs a mixed analytic method that incorporates structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to provide a complete picture of individual information process mechanisms in AR retailing under the tenet of ELM.FindingsThe SEM analysis results confirm the relationships between the central and peripheral route factors, information processing outcomes and eventual behavioral intentions. Moreover, all configurations revealed by the fsQCA include both central and peripheral factors. Hence, the dual routes proposed in the ELM are verified by using two distinct analytical approaches.Originality/valueThis study is pioneering in validating and contextualizing ELM theory in AR retailing. In addition, this study offers a methodological paradigm by demonstrating the application of multi-analysis in exploring consumers’ information process mechanisms in AR retailing, which offers a holistic and comprehensive view to understand consumers’ decision-making mechanisms.
Problem resolution with business analytics: a task-technology fit perspective
Authors: Muchenje Givemore , Seppänen Marko , Li Hongxiu 
Published: May 2024

PurposeThe study explores the extent to which business analytics can address business problems using the task-technology fit theory.Design/methodology/approachThe qualitative research approach of pattern matching was adopted for data analysis and 12 semi-structured interviews were conducted. Four propositions derived from the literature on task-technology fit are compared to emerging core themes from the empirical data.FindingsThe study establishes the relationships between various forms of fit, arguing that the iterative application of business analytics improves problem understanding and solutions, and contends that both under-fit and over-fit can be acceptable due to the increasing costs of achieving ideal fit and potential unaffected outcomes, respectively. The study demonstrates that managers should appreciate that there may be a distinction between those who create business analytics solutions and those who apply business analytics solutions to solve problems.Originality/valueExtant studies on business analytics have not focused on how the match between business analytics and tasks affects the level to which problems can be addressed that determines business value. This study enriches the literature on business analytics by linking business analytics and business value through problem resolution demonstrated by task-technology fit. To the authors’ knowledge, this study might be the first to apply pattern matching to study the fit between technology and tasks.
How corporate technological innovation social responsibility leads to better radical technological innovation: an intellectual capital perspective
Authors: Wu Weiwei , Shi Jian , Liu Yexin , Zhang Xu 
Published: May 2024

PurposeCorporate social responsibility (CSR) is regarded as the driving factor of innovation. However, corporate technological innovation social responsibility’s (CTISR) role and effect mechanism in leveraging radical technological innovation (RTI) has been limited. The purpose of this study is to investigate the relationships between CTISR and RTI and the moderating effect of intellectual capital and institutional support on CTISR and RTI.Design/methodology/approachGrounded in resource-based view, a research model including CTISR, intellectual capital, institutional support and RTI is proposed Content analysis is performed on the CSR reports of Chinese companies that have been publicly listed published from 2008 to 2022, to measure each company’s CTISR. A regression analysis was then applied to relate CTISR, intellectual capital and institutional support to firm-specific variables to determine their relevance and influence on RTI.FindingsResults indicate that CTISR is positively related to RTI. The results also indicate that human capital, structural capital and institutional support strengthen this positive relationship. Furthermore, institutional support strengthens the positive interaction effect of human capital with CTISR and structural capital with CTISR, respectively.Originality/valueThis research explores the relationships among CTISR, intellectual capital, institutional support and RTI in a comprehensive model, which is the first known study to highlight that CTISR can enhance RTI and gives managers implications on how to align corporate technological innovation while pursuing RTI.
Carbon emission allowances purchasing decisions in supply chains under the cap-and-trade mechanism in China: an evolutionary game analysis
Authors: Hu Haiju , Li Yakun 
Published: May 2024

PurposeThe importance of carbon reduction has become a global consensus, and more and more countries are implementing the cap-and-trade mechanism, including China. The purpose of this paper is to investigate the optimal carbon emission allowances (CEA) purchasing decisions of supply chain members under the cap-and-trade mechanism in China.Design/methodology/approachAn evolutionary game model is established to analyze the CEA purchase strategy choices of suppliers and manufacturers in the supply chain. The influence of the key parameters on the evolutionary game results is analyzed by numerical simulations.FindingsThe supply chain system always evolves towards neither supplier nor manufacturer purchasing CEA or both purchasing CEA. Illegal production behavior and excessive CEA costs are key factors that hinder parties from purchasing CEA. High revenue from purchasing CEA for production, high supply chain losses and high governmental penalties can promote parties to purchase CEA.Originality/valueThe results help supply chain members make better CEA purchasing decisions and also benefit the development of China’s carbon trading market and environmental protection.
Political familiarity vs. journalism background: insights from three Israeli prime ministers on social media
Authors: Yavetz Gal 
Published: May 2024

PurposeTo explore a potential relationship between politicians’ media background and social media success through an analysis of content and engagement strategies adopted by three consecutive Israeli prime ministers on their official Facebook pages.Design/methodology/approachA detailed comparative content analysis of a total of 1,242 posts published by three Israeli prime ministers – Benjamin Netanyahu, Yair Lapid and Naftali Bennett – on the same official Facebook account, “the Prime Minister of Israel,” during their respective terms. Metrics like engagement rates, content distribution and media type utilization were considered.FindingsAll analyzed prime ministers exhibited consistent messaging strategies, suggesting a standardized approach to digital political communication. However, we found no correlation between a politician’s media background and their success on social media. Instead, decisive determinants of engagement outcomes were factors like longstanding political exposure and familiarity.Practical implicationsThe observed uniformity in leaders’ messaging strategies indicates a prevalent standardized approach in digital political communication, revealing potential avenues for innovation and diversification.Originality/valueThis research challenges the prevailing notion that background in media inherently benefits digital political engagement, emphasizing the significance of political experience. The results provide new insights into the evolving landscape of political communication. Using signaling theory to evaluate how digital content reveals leaders’ intentions and credibility, our findings provide new insights into political communication in the digital era.
Professional learning networks: a descriptive phenomenological study with primary school teachers in Greece
Authors: Ventista Ourania Maria , Kaldi Stavroula , Kolokitha Magdalini , Govaris Christos , Brown Chris 
Published: May 2024

Purpose
Professional learning networks (PLNs) involve teachers’ collaboration with others outside of their school to improve teaching and learning. PLNs can facilitate teachers’ professional growth and school improvement. This study aims to explore the drivers for participation within PLNs, the enactment process and the impact of PLN participation on teachers, students and schools in Greece.

Design/methodology/approach
A descriptive phenomenological study was conducted to explore the lived experience of primary school teachers participating in PLNs.

Findings
The findings showed that individuals who were open to change were driving innovation to address a need or a lack in their daily practice that was not satisfied within their usual community of practice. The key element of the participation was peer collaboration with openness of communication without attendant accountability pressures. The change was mainly identified in teacher skills and the school climate. An individual could bring change only if the school is already open to change. In some cases, resistance to change in schools was identified before enactment or during enactment. The transformation of teachers’ and leaders’ stances is discussed, enabling the opportunity to maximise school improvement.

Originality/value
The study examines PLNs as European Union-funded initiatives that are developed by teachers in centralised education systems under the phenomenological research paradigm. It explores the PLNs in a different setting compared to the existing conceptual theory of change for PLNs.
Chasing and surfing seasonal waves: Avian migration through the US tracks land surface phenology in fall, but not spring
Authors: Adams Carrie Ann , Tomaszewska Monika A. , Henebry Geoffrey M. , Horton Kyle G. 
Published: May 2024

Abstract

Climate change is altering the timing of seasonal events for many taxa.

There is limited understanding of how northward/southward songbird migration follows or is limited by the latitudinal progression of seasonal transitions. Consistent environmental conditions that migrating birds encounter across latitudes likely represent or correlate with important resources or limiting factors for migration.

We tested whether migratory passage—observed via radar—consistently tracked land surface variables and phenophases across latitudes in the US Central Flyway in both spring and fall.

The daily temperatures, precipitation and vegetation greenness occurring on 10%, 50% and 90% cumulative passage dates changed substantially with latitude, indicating that most migrants experienced rapidly changing conditions as they headed north or south. Temperature did not limit the progression of migration in either season.

Peak spring migration in the southern US occurred nearly 40 days after the spring green wave, the northward progression of vegetation growth, but nearly caught up to green‐up at 48° N. Spring migration phenology may have evolved to prioritize earlier arrival for breeding.

Across all latitudes, peak fall migration coincided with the same land surface phenophase, an interval of 26 days prior to dormancy onset. Migrants may rely on phenological events in vegetation during fall stopovers.

Considering that (a) migratory passage tracked fall land surface phenology across latitudes at a continental scale, (b) previous studies at local scales have demonstrated the importance of fruit during fall migratory stopover and (c) fruiting phenology in North America is occurring later over time while fall migration is advancing, the potential for mismatch between fall fruiting and bird migration phenology urgently needs further investigation.
Surviving Industry Convergence: Ambidexterity via Internal Development, Alliances and Acquisitions
Authors: Chaturvedi Tuhin , Hsu Sean Tsuhsiang , Prescott John E. 
Published: May 2024

AbstractIndustry convergence (IC), the blurring of boundaries between previously separate industries, is a pervasive phenomenon. The emergence of new products, resources and competitors as a result of IC poses a threat to firm survival. Importantly, IC differs from other contexts of technological change that bear their origin in an emerging technology that may substitute or make obsolete an existing technology. Yet, little is known about how firms may survive IC. We theorize that the degrees to which firms explore or exploit using their growth modes (i.e. internal development, alliances and acquisitions) by emphasizing an ambidextrous posture may affect their likelihood of survival. We hypothesize that a high degree of exploration in internal development and alliances and a high degree of exploitation in acquisitions positively affect the likelihood of firm survival. Our hypotheses received strong support in a sample of 231 firms from a period of IC between the telecommunication equipment and data networking industries between 1989 and 2003. Our study opens a new research frontier on IC by proposing a novel theoretical approach based on examining the ambidexterity within and across growth modes to better understand firm outcomes during IC. It also contributes to research on growth modes.