bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pricing strategies in the Silicon Valley housing market: an update on TOM and recent events
Authors: Cheng Wan-Hsiu , Chiu Shih-Chieh , Yen Chia-Yueh , Yeh Fu-Chang 
Published: September 2024

Purpose
This study aims to explore the relationship between house prices and time-on-market (TOM) in Silicon Valley. Previous findings have been inconclusive due to variations in property characteristics. This paper highlights the discrepancy between listing and selling prices and identifies differences among housing types such as condominiums, detached houses and townhouses based on housing orientations and customer groups. Additionally, this study considers the impact of the COVID-19 pandemic and the Fed’s interest rate policies on the housing market.

Design/methodology/approach
The authors analyze 63,853 transactions from the Bay East Board of Realtors’ Multiple Listing Service during 2018 to 2022. The study uses a multiple-stage methodology, including a nonlinear hedonic pricing model, search theory and two-stage least squares method to address concerns relating to endogeneity.

Findings
The Silicon Valley housing market shows resilience, with low-end properties giving buyers more bargaining power without significant price drops. High-end properties, on the other hand, attract more attention over time, leading to aggressive bidding and higher final sale prices. The pandemic, despite reducing housing supply, did not dampen demand, leading to price surges. Post-COVID, price correlations with TOM changed, indicating a more cautious buyer approach toward high premiums. The Fed’s stringent monetary policies post-2022 intensified these effects, with longer listing times leading to greater price disparities due to financial pressures on buyers and shifting dynamics in buyer interest.

Practical implications
Results reveal a nonlinear positive correlation between TOM and the price formation process, indicating that the longer a listed property is on the market, the greater the price changes. For low-end properties, TOM becomes significantly negative, while for high-end properties, the coefficient becomes significantly positive, with effects and magnitudes varying by type of dwelling. Moreover, external environmental factors, especially those leading to financial strain, can significantly impact the housing market.

Originality/value
The experience of Silicon Valley is valuable for cities using it as a development model. The demand for talent in the tech industry will stimulate the housing market, especially as the housing supply will not improve in the short term. It is important for government entities to plan for this proactively.
Effect of elastic deformation on squeezing film lubrication properties of soft tribocontacts with microstructured surface
Authors: Su Binbin , Zou Xianghe , Wang Zhaoxiang , Huang Lirong 
Published: September 2024

Purpose
Inspired by the high-friction performance of the soft toe pads of tree frogs, this study aims to investigate the effect of elastic deformation on the lubrication properties of squeezing films inside soft tribocontacts with microstructured surface under wet conditions.

Design/methodology/approach
A one-dimensional hydrodynamic extrusion model was used to study the film lubrication characteristics of conformal contact. The lubrication characteristics of the extruded film, including load-carrying capacity, liquid flow and surface elastic deformation, were obtained through the simultaneously iterative solution of the fluid-governing and deformation equations.

Findings
The results show that the hydrodynamic pressure is approximating parabolically and symmetrically distributed in the contact area, and the peak value appears in the center of the extrusion surface. Elastic deformation increases the thickness of the liquid film, weakens the bearing capacity and homogenizes the liquid flow rate of inside soft friction contact. The magnitude of this effect greatly increases as the initial liquid film thickness decreases. Moreover, the elastic deformation directly affects the average film thickness of the extrusion contact. Narrow and shallow microchannels are found to result in a more prominent elastic deformation on the microstructured soft surface.

Originality/value
These results present a design for soft tribocontacts suitable for submerged or wet environments involving high friction, such as wiper blades, in situ flexible electrons and underwater robots.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2024-0049/
Factors affecting SMEs’ choice of banks in Oman: an emphasis on Islamic banks
Authors: Miah Mohammad Dulal , Kassim Norizan Mohd. , Zain Mohammad , Usman Mohammad 
Published: September 2024

Purpose
Commercial banks are the catalysts for meeting the financing needs of small and medium enterprises (SMEs). However, not all commercial banks are equally attractive to SMEs because of differences in banking services’ key attributes. Moreover, customers’ preferences vary between Islamic and conventional banks. This paper aims to identify factors motivating SMEs to establish business ties with banks in Oman.

Design/methodology/approach
The authors collected data from 217 SMEs through a questionnaire survey. The data were analyzed using a t-test and structural equation modeling (SEM). In addition, the research applies the theory of planned behavior as a theoretical framework.

Findings
The t-test results show that SMEs place greater emphasis on electronic banking, convenient locations, religious beliefs and favorable terms and conditions. The results from the SEM analysis show that the SMEs in Oman consider attractive packages, including favorable rates, transaction processing time, fees and the availability of technology-enabled services, when choosing a bank. Moreover, customers who are aware of Islamic banking products are optimistic about the future of Shariah-based banking.

Originality/value
As a Muslim-majority country, Oman lags behind its Gulf Cooperative Council peers in terms of the development of the Islamic banking system. For the success of this mode of financing, it is essential to know which factors SMEs prioritize to establish ties with Islamic banks. Hence, the research is expected to provide new information for bank management to devise financial products attractive to investors.
Exploring the relationship of green HRM practices with sustainable performance: the mediating effect of green innovation
Authors: Nguyen Loc Quoc , Nguyen Ty Nhu 
Published: September 2024

PurposeThis research has presented a paradigm model to explore the interrelationships among green human resource management practices, green innovation and sustainable performance, demonstrating its suitability within Vietnam's hospitality sector.Design/methodology/approachThe study used a mixed-method approach, detailing the collection and analysis of both qualitative and quantitative data. In-depth interviews were carried out to examine various aspects of green human resource management practices. Following this, PLS-SEM statistical techniques were applied to survey responses to test the proposed hypotheses (N = 574).FindingsThis study identified several less common green human resource management practices, such as green job descriptions and analysis, green performance management, green health and safety, green involvement and empowerment and green discipline management that enhance green innovation and sustainable performance. Notably, the study highlighted the significant impact of green discipline management on green innovation and sustainable performance in the Vietnamese context.Practical implicationsThe study emphasizes that hotel managers in Vietnam should recognize the crucial role of green innovation in effectively implementing green initiatives, as it is a key driver of sustainable performance in hotels.Originality/valueThis study developed a unique framework highlighting green innovation's mediating role. It demonstrates the relationships between green HR practices and environmental, economic and social performance, offering practical insights for hotel and business managers.
Company reputation and dividend payout
Authors: Houqe Muhammad Nurul , Michael Michael , Ali Muhammad Jahangir , Rahman Dewan 
Published: September 2024

Purpose
The purpose of this paper is to examine the association between company reputation and dividend policy.

Design/methodology/approach
In this study, sample of 98,809 firm-year observations from 22 countries covering 2005–2016 were used.

Findings
Firm reputation concerns are associated with higher propensities to pay dividends and payout ratios. Further, this positive effect is more pronounced for firms with high free cash flows, high information asymmetry and low institutional monitoring. The results are robust to an instrumental variable approach, propensity score matching and the Heckman two-stage correction approach while addressing endogeneity concerns.

Practical implications
These findings have significant implications for various stakeholders, such as existing and potential investors, managers, policymakers and regulators, by providing insights into the relationship between corporate reputation and firm dividend payout decisions. Corporate reputation is highlighted as crucial for accessing finance, emphasizing the role of national regulators and policymakers in facilitating firms' efforts to improve their reputation. The study highlights the dynamics of corporate reputation and dividend payout, calling for proactive engagement from regulators and policymakers. Crafting policies conducive to reputation-building can enhance firms' financial prospects, indicating the need for strategic interventions at managerial, regulatory and policy levels. Understanding the influence of economic context is crucial for firms to tailor reputation management strategies and optimize funding opportunities in different economic environments.

Originality/value
Overall, results suggest that reputation serves as a disciplining mechanism, where firms will pay dividends to maintain their reputations.
Application of improved adaptive method of CEEMD and data-drive in fault diagnosis
Authors: Liu Ming-Hui , Xiong Jianbin , Li Chun-Lin , Sun Weijun , Zhang Qinghua , Zhang Yuyu 
Published: September 2024

Purpose
The diagnosis and prediction methods used for estimating the health conditions of the bearing are of great significance in modern petrochemical industries. This paper aims to discuss the accuracy and stability of improved empirical mode decomposition (EMD) algorithm in bearing fault diagnosis.

Design/methodology/approach
This paper adopts the improved adaptive complementary ensemble empirical mode decomposition (ICEEMD) to process the nonlinear and nonstationary signals. Two data sets including a multistage centrifugal fan data set from the laboratory and a motor bearing data set from the Case Western Reserve University are used to perform experiments. Furthermore, the proposed fault diagnosis method, combined with intelligent methods, is evaluated by using two data sets. The proposed method achieved accuracies of 99.62% and 99.17%. Through the experiment of two data, it can be seen that the proposed algorithm has excellent performance in the accuracy and stability of diagnosis.

Findings
According to the review papers, as one of the effective decomposition methods to deal with nonlinear nonstationary signals, the method based on EMD has been widely used in bearing fault diagnosis. However, EMD is often used to figure out the nonlinear nonstationarity of fault data, but the traditional EMD is prone to modal confusion, and the white noise in signal reconstruction is difficult to eliminate.

Research limitations/implications
In this paper only the top three optimal intrinsic mode functions (IMFs) are selected, but IMFs with less correlation cannot completely deny their value. Considering the actual working conditions of petrochemical units, the feasibility of this method in compound fault diagnosis needs to be studied.

Originality/value
Different from traditional methods, ICEEMD not only does not need human intervention and setting but also improves the extraction efficiency of feature information. Then, it is combined with a data-driven approach to complete the data preprocessing, and further carries out the fault identification and classification with the optimized convolutional neural network.
Management of bone health in idiopathic inflammatory myopathies: A two‐center audit in the United Kingdom and Hong Kong
Authors: Thumbe Akanksha , Kumar Aman , Ajibade Adeola , Sapkota Hem , Sheeran Thomas P , Venkatachalam Srinivasan , So Ho , Gupta Latika 
Published: September 2024

AbstractBackgroundPatients with inflammatory idiopathic myopathies (IIM) face elevated risks of osteoporosis and fragility fracture.AimTo evaluate current practice relating to bone health in adult patients with IIM in the United Kingdom and Hong Kong (HK).MethodsPatients were identified from IIM patient lists. Demographics, osteoporosis risk factors, DXA scans, and bone protection treatment were recorded. Adherence to regional standards was evaluated for each center. Following this, in the United Kingdom, up‐to‐date DXA scans were performed.ResultsOf 136 patients identified, 51 met selection criteria (UK, n = 20, HK, n = 31). Mean age in the United Kingdom was 59 (IQR 54–66); in Hong Kong, 65 (IQR 52.5–70). Most were female (UK 70%; HK 77%), current or previous steroid treatment was common (UK 90%; HK 100%) and some had experienced fragility fracture (UK 15%; HK 9%). The mean daily dose of prednisolone that patients were prescribed during the study was 12.5 mg (UK) and 14.3 mg (HK). Some patients had had a DXA scan (UK 50%; HK 35%) though several were outdated. Among those with BMD measured (UK, n = 20; HK, n = 11), osteopenia prevalence was 35% (UK) and 36% (HK) while osteoporosis was 5% (UK) and 36% (HK). Notably, 25% (UK) and 64% (HK) exceeded treatment thresholds. Treatments included anti‐osteoporotic agents (UK 55%; HK 15%), Vitamin D/calcium supplements (UK 95%; HK 52%), or no treatment (UK 5%, HK 15%).ConclusionPoor compliance with guidelines exists in both centers, particularly around investigation and monitoring of bone health for IIM patients. Integrated care models and increased resource allocation to bone health are imperative to improve management of this aspect of IIM.
Incorporating telemetry information into capture‐recapture analyses improves precision and accuracy of abundance estimates given spatiotemporally biased recapture effort
Authors: Badger Janelle J. , Johnson Devin S. , Baird Robin W. , Bradford Amanda L. , Kratofil Michaela A. , Mahaffy Sabre D. , Oleson Erin M. 
Published: September 2024

Abstract

Natural populations that are rare, cryptic or inaccessible provide a monumental challenge to monitoring, as adequate data are extremely difficult to collect. Surveys often encompass only a small portion of a population's range due to difficult terrain or inclement weather, especially for populations with extensive ranges. Thus, to maximise encounters, sampling efforts may be largely opportunistic or biased to accessible areas. The resulting sparse and spatially biased data may be difficult to model, standardise across years and incorporate into an assessment or management framework. However, in many monitoring programs, there are usually multiple threads of data that, though each may have its own limitations, can be synthesised to reveal important ecological processes.

Here, we demonstrate a simple technique to incorporate two additional streams of data on the same population, telemetry and survey effort data, into capture‐recapture analyses to address spatiotemporal sampling bias using simulated data. Utilisation distributions (UDs) computed from telemetry data are overlaid with UDs of survey efforts, providing an ‘effort by animal space use’ overlap covariate for modelling detection in a Jolly–Seber open population model.

Using simulated data, we found that our method resulted in more accurate and precise estimates of abundance than traditional capture‐recapture models. We then applied this method to a 16 year photo‐identification capture‐recapture dataset (n = 143 individuals) along with telemetry data (n = 44 satellite tag deployments) collected from the endangered population of false killer whales resident to the main Hawaiian Islands.

Incorporating space use and effort into this analysis improved precision of abundance estimates relative to previous modelling endeavours.
The moderating effect of private information on the relation between financial reporting quality and corporate dividend efficiency
Authors: Aoki Yasuharu , Kochiyama Takuma 
Published: September 2024

AbstractWe examine the effect of private information on the linkage between financial reporting quality and dividends. While prior studies show that better reporting quality mitigates agency problems regarding dividends, this effect can depend on capital suppliers' private information sources. In a sample of Japanese firms, we measure dividend efficiency regarding over‐ and underpayments and use unique main bank relationships as a proxy for private information. Reporting quality enhances dividend efficiency, and this linkage is observed only for firms without main bank relationships. The results suggest that high‐quality reporting streamlines dividends, particularly when capital suppliers do not have private information sources.
Predicting the Dry Season Habitat Occupancy of African Savannah Elephant Using Vegetation Indices and Modelling Landscape Variability in a Mesic Protected Area
Authors: Mukomberanwa Nobert Tafadzwa , Taru Phillip , Utete Beaven , Madamombe Honest Komborero 
Published: September 2024

ABSTRACTAfrican savannah elephants (Loxodonta africana) are key ecosystem engineers that migrate over large spatiotemporal scales foraging as they require copious amounts of food and water across habitable landscapes. Therefore a need to understand movement patterns arises in relation to vegetation type and landscape variability, moreso in forage depauparate arid areas such as Gonarezhou National Park (GNP) in Zimbabwe. The objectives of this study were to: (i) assess the performance of vegetation indices in modelling the distribution of African savannah elephants, and (ii) model future landscape variability in Gonarezhou National Park (GNP) in Zimbabwe. Maximum entropy (MaxEnt) algorithm was used to explore the relationship between vegetation indices and distribution of African savannah elephants in the GNP. The Soil Adjusted Vegetation Index (SAVI) performs better relative to other indices in modelling the distribution of African savannah elephants across all habitat types in the GNP. Cellular automata‐Artificial Neural Network (CA‐ANN) showed a significant future decrease (Kruskal Anova; p < 0.05) in landscape suitable to sustain large populations of African savannah elephants in the GNP by the year 2083. Future remote sensing reveals directional insights into the future consequences of current landscape management for African savannah elephant conservation which is a crucial in the sustainability of climate threatened arid protected areas such as the GNP.
Comparative analysis of formyl peptide receptor 1 and formyl peptide receptor 2 reveals shared and preserved signalling profiles
Authors: Pajonczyk Denise , Sternschulte Merle F. , Soehnlein Oliver , Bermudez Marcel , Raabe Carsten A. , Rescher Ursula 
Published: September 2024

Background and PurposeThe pattern recognition receptors, formyl peptide receptors, FPR1 and FPR2, are G protein‐coupled receptors that recognize many different pathogen‐ and host‐derived ligands. While FPR1 conveys pro‐inflammatory signals, FPR2 is linked with pro‐resolving outcomes. To analyse how the two very similar FPRs exert opposite effects in modulating inflammatory responses despite their high homology, a shared expression profile on immune cells and an overlapping ligand repertoire, we questioned whether the signalling profile differs between these two receptors.Experimental ApproachWe deduced EC50 and Emax values for synthetic, pathogen‐derived and host‐derived peptide agonists for both FPR1 and FPR2 and analysed them within the framework of biased signalling. We furthermore investigated whether FPR isoform‐specific agonists affect the ex vivo lifespan of human neutrophils.Key resultsThe FPRs share a core signature across signalling pathways. Whereas the synthetic WKYMVm and formylated peptides acted as potent agonists at FPR1, and at FPR2, only WKYMVm was a full agonist. Natural FPR2 agonists, irrespective of N‐terminal formylation, displayed lower activity ratios, suggesting an underutilized signalling potential of this receptor. FPR2 agonism did not counteract LPS‐induced neutrophil survival, indicating that FPR2 activation per se is not linked with a pro‐resolving function.Conclusion and ImplicationsActivation of FPR1 and FPR2 by a representative agonist panel revealed a lack of a receptor‐specific signalling texture, challenging assumptions about distinct inflammatory profiles linked to specific receptor isoforms, signalling patterns or agonist classes. These conclusions are restricted to the specific agonists and signalling pathways examined.
Citizen science and color pattern analysis indicate unreported Batesian mimicry between Neotropical snakes
Authors: Serrano Filipe C. , Farhat Carolina , Díaz‐Ricaurte Juan C. , Martins Marcio 
Published: September 2024

AbstractBatesian mimics decrease their chance of predation by their resemblance to different, dangerous or unpalatable species but this relationship is often inferred without quantitative approaches. Snakes are notorious Batesian mimics, especially the Neotropical genus Xenodon, which comprises species that are putative mimics of venomous snakes such as coral snakes (genus Micrurus) and lanceheads (or “fer‐de‐lance,” genus Bothrops). Herein, we propose that Xenodon severus is a batesian mimic of the sympatric and highly venomous Amazonian bushmaster (Lachesis muta), the longest viper in the world, and not of lanceheads (Bothrops spp.). We compiled all available photographs of X. severus from citizen science platforms and published literature to test this mimicry through a quantitative dorsal color pattern analysis between this species and both L. muta and a lancehead Bothrops brazili. We classified georeferenced photographs as potential “mimic” or “non‐mimic” and tested whether “mimics” were found on average closer to L. muta's range centroid than “non‐mimics.” The color pattern analysis showed that X. severus is more similar to L. muta than to B. brazili. Furthermore, “mimics” were significantly closer to the centroid of L. muta. Our results suggest that X. severus is likely a mimic of L. muta and that this relationship may vary across their distribution. Our findings highlight the significant role of citizen science platforms in assessing ecological relationships and the importance of using quantitative methods such as dorsal color pattern analysis to test mimicry.Abstract in Portuguese is available with online material.