bluuebunny/crossref_metadata_2025_split huggingface dataset:
Binucleated cell formation and oncogene expression after particulate matter exposure is preceded by microtubule disruption, dysregulated cell cycle, prolonged mitosis, and septin binding
Authors: Podlipec Rok , Sebastijanovič Aleksandar , Cassidy Hilary , Han Lianyong , Danielsen Pernille , Čotar Petra , Kokot Hana , Koser Benjamin Koroševič , Vencelj Ana , Pirker Luka , Umek Polona , Hlawacek Gregor , Heller Rene , Matallanas David , Pelicon Primož , Stoeger Tobias , Urbančič Iztok , Vogel Ulla , Koklič Tilen , Štrancar Janez 
Published: January 2024

AbstractSeveral biopersistent high aspect ratio nanomaterials show pronounced pathogenic effects, from chronic lung inflammation and fibrosis to cancer. For example, asbestos fibers are classified as carcinogens, whereas the carcinogenicity of highly inflammatory multi-wall carbon nanotubes (MWCNTs), and TiO2nanomaterials is still being evaluated. The exact early mechanisms of their pathogenicity towards inflammation and cancer remains uncertain, but it is likely not due to genotoxic or mutagenic activity. A proposed early mode of action that might lead to the formation of cancerous cells for asbestos fibers is the formation of binucleated and multinucleated cells, resulting in genetic instability. Here, we show that two high aspect ratio nanomaterials, MWCNTs and TiO2nanotubes, which both induce chronic lung inflammation, induce very different cancer-related changesin vitro. TiO2nanotubes – but not low aspect-ratio nanocubes of the same crystalline structure – disrupt microtubule organization and prolong mitosis, as well as deform nuclear shape, induce the formation of binucleated cells, and downregulate the tumour suppressor protein p53, whereas only the MWCNTs activate the stimulator of the interferon genes (STING) pathway, a hallmark of lung cancer. The observed differences in cellular responses to different high aspect ratio materials imply the need for assessing each nanomaterial individually with a broad range of tests rather than relying solely on a single marker or pathway, or even morphological or bulk chemical properties to infer possible carcinogenic properties.
CD177 is a novel IgG Fc receptor and CD177 genetic variants affect IgG-mediated function
Authors: Li Yunfang , Wu Jianming 
Published: January 2024

AbstractCD177 plays an important role in the proliferation and differentiation of myeloid lineage cells including neutrophils, myelocytes, promyelocytes, megakaryocytes, and early erythroblasts in bone marrow. CD177 deficiency is a common phenotype in humans. Our previous studies revealed genetic mechanisms of human CD177 deficiency and expression variations. Up to now, immune functions of CD177 remain undefined. In the current study, we revealed human IgG as a ligand for CD177 by using flow cytometry, bead-rosette formation, and surface plasmon resonance (SPR) assays. In addition, we show that CD177 variants affect the binding capacity of CD177 for human IgG. Furthermore, we showed that the CD177 genetic variants significantly affect antibody-dependent cell-mediated cytotoxicity (ADCC) function. The demonstration of CD177 as a functional IgG Fc-receptor may provide new insights into CD177 immune function and genetic mechanism underlying CD177 as biomarkers for human diseases.
De-glycosylated non-structural protein 1 enhances dengue virus clearance by limiting PD-L1/PD-1 mediated T cell apoptosis
Authors: Idris Fakhriedzwan , Ting Donald Heng Rong , Tan Eunice Tze Xin , Wan Corrine , Chan Kuan Rong , Benke Peter I , Marzinek Jan Kazimierz , Copping Jack M , Li Qin Hui , Walsh Ian , Allison Jane R , Bond Peter John , Torta Federico , Nguyen-Khuong Terry , Alonso Sylvie 
Published: January 2024

ABSTRACTThe non-structural protein 1 (NS1) of dengue virus (DENV) contains two highly conserved N-glycosylation sites at positions 130 and 207 (N130 and N207). Intracellular NS1 monomers and homo-dimers participate in viral RNA replication within membrane-bound replication complexes. Soluble multimeric NS1 (sNS1) is secreted into the extracellular milieu and represents an important virulence factor for DENV through its ability to interfere with the host complement activation cascade and to induce vascular leakage. The role of the two N-glycans in NS1 biological activities, however, has not been carefully examined. Here, stable DENV2 mutants that lack glycan at either N sites of NS1 were engineered. We showed that the lack of glycans at either N site of NS1 did not impair viral replication nor viral output in both mosquito and mammalian cell lines. In contrast, while N130 de-glycosylated DENV displayed parentalin vivofitness in IFNAR-/-mice, the N207 de-glycosylated mutant was significantly attenuated as evidenced by 100% survival rate, which correlated with accelerated viral clearance in circulation. sNS1-depletion, sNS1 exogenous administration and co-infection experiments supported that N207 de-glycosylated NS1 exerted a dominant attenuating effect duringin vivoinfection. Bulk RNAseq, inflammatory cytokine profile, immune phenotyping of neutrophils and T cells, immune cell depletion and immune checkpoint blockade approaches led us to propose that N207 de-glycosylated NS1 limited CD8+T cell apoptosis mediated by the PD-L1/PD-1 axis, thereby improving viral clearance efficacy. This work uncovers a novel immune evasion strategy where N207 glycans on NS1 prevent the protein from exerting immune modulation activity that would be detrimental to DENV.
How job satisfaction affects professionalization behavior of new-generation construction workers: a model based on theory of planned behavior
Authors: Zhao Weishu , Peng Peng , Liu Hao , Wang Shiliu , Liu Wei 
Published: January 2024

PurposeThe purpose of this study is to explore the influence mechanism of new-generation construction workers (NGCWs)’ job satisfaction on the professionalization behavior in China, through theory of planned behavior (TPB), and find the key path to promote the professionalization behavior of China’s construction workers.Design/methodology/approachA theoretical model of influence mechanism was established through literature research and theoretical deduction based on TPB and structural equation model. The scale of variables was developed, and an empirical study was employed with a sample of 823 NGCWs in China.FindingsThe results indicate that job satisfaction can positively affect NGCWs' professionalization behavior. Subjective norm, attitude and perceived behavior control play mediating roles in the influence process. Job satisfaction is more likely to act on professionalization behavior through subjective norm and behavioral intention.Research limitations/implicationsResearch results sorely suggest a short-term law about the influence mechanism of NGCWs' job satisfaction on professionalization behavior through a questionnaire study from China’s construction industry. Future research ought to continue to use a longitudinal study to examine it over a considerable amount of time. The results also need to be verified using data from young construction workers in other nations.Practical implicationsThis study provides a theoretical basis and feasible management reference for government and construction enterprises in China to promote NGCWs' professionalization behavior from the perspective of job satisfaction. Furthermore, the promotion of NGCWs' job satisfaction and professionalization behavior can do good to building industrialization, sustainable development and high-quality transformation of labor force in the construction industry.Originality/valueThis paper demonstrates the positive influence of job satisfaction on professionalization behavior of NGCWs and finds the most effective affecting path. It fills the research gap about the influence mechanism of job satisfaction on young construction workers' professionalization behavior and enriches the theoretical system of planned behavior of construction workers.
Firm size relationship with persistent innovation and employment growth: evidence from an emerging economy
Authors: Parrao Alejandra , Reyes Tomás , Cruz Alfonso , Molina Kristel Schön 
Published: January 2024

PurposePrevious evidence has shown a generally positive relationship between continuously developed innovation, known as innovation persistence and employment growth in firms. This study investigates whether firm size moderates this relationship and how, considering persistent product and process innovation.Design/methodology/approachThe authors studied the influence of firm size on the relationship between innovation persistence and employment using a 10-year panel database of firms based on national innovation surveys. The authors consider firm size as sales and measure innovation persistence through the hazard rate of innovation spells. To assess the main model, they use a system generalized method of moments (GMM) estimator.FindingsThe authors' main findings indicate that firm size negatively moderates the relationship between persistent innovation and employment growth. These results suggest that the positive effects of product and process persistent innovation on employment growth decrease as firm size increases. The authors also find evidence indicating that the moderator role of firm size is greater when firms innovate more persistently. Robustness tests with different specifications confirm the results.Originality/valueThe authors show that firm size negatively affects the strength of the relationship between innovation persistence and employment growth in product and process innovations. The authors also show that the moderator role of firm size is greater when firms are more persistent in generating product and process innovation. Additionally, using a panel dataset, they provide evidence from a sample of firms in a developing country where no studies on this matter have previously been conducted.
Time truncated attribute control chart for the generalized Rayleigh distributed quality characteristics and beyond
Authors: Saha Mahendra , Pareek Pratibha , Tripathi Harsh , Devi Anju 
Published: January 2024

Purpose First is to develop the time truncated median control chart for the Rayleigh distribution (RD) and generalized RD (GRD), respectively. Second is to evaluate the performance of the proposed attribute control chart which depends on the average run length (ARL) and third is to include real life examples for application purpose of the proposed attribute control chart.Design/methodology/approach (1) Select a random sample of size n from each subgroup from the production process and put them on a test for specified time t, where t = ? × µe. Then, count the numbers of failed items in each subgroup up to time t. (2) Step 2: Using np chart, define D = np, the number of failures, which also a random variable follows the Binomial distribution. It is better to use D = np chart rather than p chart because the authors are using number of failure rather than proportion of failure p. When the process is in control, then the parameters of the binomial distribution are n and p0, respectively. (3) Step 3: The process is said to be in control if LCL = D = UCL; otherwise, the process is said to be out of control. Hence, LCL and UCL for the proposed control chart.Findings From the findings, it is concluded that the GRD has smaller ARL values than the RD for specified values of parameters, which indicate that GRD performing well for out of control signal as compared to the RD.Research limitations/implications This developed control chart is applicable when real life situation coincide with RD and GRD.Social implications Researcher can directly use presented study and save consumers from accepting bad lot and also encourage producers to make good quality products so that society can take benefit from their products.Originality/value This article dealt with time truncated attribute median control chart for non-normal distributions, namely, the RD and GRD, respectively. The structure of the proposed control chart is developed based on median lifetime of the RD and GRD, respectively.
Adoption intention and willingness to pay for electric vehicles: role of social-psychological attributes, fiscal incentives and socio-demographics
Authors: Kant Rishi , Mehta Babeeta , Jaiswal Deepak , Kumar Audhesh 
Published: January 2024

PurposeThe purpose of this present study is to analyze the role of consumers' social-psychological attributes, fiscal incentives and socio-demographics in the adoption intention and the willingness to pay more for electric vehicles (EVs).Design/methodology/approachA cognitive linkage model of “beliefs-intention-willingness” is analyzed using valid responses obtained from Indian consumers. The model is statistically tested at three levels: direct path effect of social-psychological attributes with financial incentives (subjective norm, personal norm, affective attitude, perceived knowledge) on adoption intention and willingness to pay, followed by the mediation of intention and the moderation of socio-demographics.FindingsThe findings reveal that the adoption intention and the willingness to pay are directly driven by all analyzed factors except financial incentives, which is not significantly associated with willingness to pay. Moreover, the adoption intention partially mediated the relation between all socio-psychological measures and willingness to pay, whereas full mediation of incentives is supported. Furthermore, the moderating effect of socio-demographics (gender, education, income) supports the integrated research model.Research limitations/implicationsThe generalizability of findings may be warranted due to the limited sample territory and the sample's youth. However, young people, or millennials, are more receptive to new technologies such as electric or carbon-free automobiles. The research advocates marketers and manufacturers to craft policy interventions and strategies to upsurge the EV demands in the backdrop of emerging markets.Originality/valueThis timely study adds to the extant literature on green and clean technology automobile adoption by exemplifying the relationship between socio-psychological beliefs, intention and willingness to pay at three dimensions of contextual factors. The current study endeavors to endorse the “beliefs-intention-willingness” cognitive linkage framework in the context of Indian green transportation.
The multi-stakeholder role in Asian sustainable ecotourism: a systematic review
Authors: Salman Ahmad , Jaafar Mastura , Mohamad Diana , Ebekozien Andrew , Rasul Tareq 
Published: January 2024

PurposeOver recent years, the multi-stakeholder role in sustainable ecotourism within Asia has emerged as a crucial narrative for sustainable ecotourism management across countries on the continent. This trend is perhaps due to the fact that ecotourism is one of the most rapidly growing sectors within the tourism industry. However, to date, no reviews have provided a comprehensive analysis related to the role of multi-stakeholders in the achievement of ecotourism sustainability, particularly in the Asian context. This study aims to fill this knowledge gap by examining the current knowledge regarding multi-stakeholder involvement in sustainable ecotourism within Asia.Design/methodology/approachA systematic review procedure was followed. 320 articles were finalized, from which 34 related pieces of research were selected from the Scopus and Web of Science databases.FindingsThree themes emerged from this paper. Recommendations were highlighted to enhance sustainable ecotourism. The study concluded that a more enabling research environment should be provided to improve discourse and encourage policy interventions.Originality/valueNo previous studies have explored the multi-stakeholder's role in achieving Asian sustainable ecotourism, indicating a critical gap to be fulfilled. This paper uniquely contributes to the field by providing a comprehensive review of the roles and challenges of multiple stakeholders in sustainable ecotourism across Asia and proposing innovative policy solutions tailored to the region's unique socio-economic and cultural context. Moreover, it puts forward potential solutions to bolster sustainable ecotourism within Asia, benefiting both stakeholders and the destination.
Exploring Gen-Z consumers’ preference for specialty coffee in the socio-cultural context of Taiwan
Authors: Wang Mei-Jung (Sebrina) , Opoku Emmanuel Kwame , Tham Aaron 
Published: January 2024

Purpose
This study aims to explore factors that affect gendered consumption (male and female), willingness to pay (economic attributes) and the socio-cultural context of Gen-Z consumers towards specialty coffee as compared to other types in Taiwan.

Design/methodology/approach
Samoggia and Riedel’s (2018) theoretical framework is adopted to examine the concepts of interest. A mixed method approach comprising interviews and experimental taste tests was used to collect data from Gen-Z specialty coffee consumers in a purposive sampling manner.

Findings
The findings suggested the effect of price elasticity of demand where specialty coffee was perceived as an expensive commodity by young consumers, and hence, not a regularly purchased item. Nevertheless, specialty coffee was linked to health benefits, and a signal for conspicuous consumption – where café experiences facilitated self-promotion on sites like Instagram and Facebook. Finally, the findings alluded to a potential gender effect, with more female young consumers likely to consume specialty coffee as compared to their male counterparts.

Originality/value
This study is located within the context of Taiwan, which has been a tea-dominated consumption landscape for numerous decades. The use of an experimental design also presents a unique angle to elucidate sensory elements surrounding specialty coffee as a research design for Gen-Z research projects. The study points to the relevance of social context in the consumers’ behavioural patterns, which has been largely implicit within consumer behaviour scholarship.
Bilateral thalamic high‐grade astrocytomas in an early‐adolescent child: A case report
Authors: Paul Dion A , Poon Emma , Nambiar Mithun , Anderson Douglas 
Published: January 2024

SummaryAn early‐adolescent girl presented with incoordination, headache, vomiting and dysphonia. MRI brain demonstrated diffuse increased T2 and FLAIR signal in bilateral thalami, consistent with anaplastic astrocytomas. A stereotactic burr‐hole biopsy provided frozen tissues sections demonstrating an IDH‐1 wildtype astrocytoma (anaplastic grade III according to prior WHO classification 2016‐21). Chemoradiotherapy was commenced. Bilateral thalamic high‐grade astrocytomas are very rare in the paediatric population and require timely diagnosis and interdisciplinary management. CT and MR imaging help point towards this diagnosis in the correct clinical context.
ECKOchain: A FAIR blockchain‐based database for long‐term ecological data
Authors: Marstein Kjell‐Erik , Grytnes John‐Arvid , Lewis Robert John 
Published: January 2024

Abstract

Open data practices in ecology are increasingly accepted, yet primary long‐term ecological data remain hard to find. Barriers preventing open long‐term ecological data include social and economic constructs such as a sense of data proprietorship and fear of misuse of complex datasets.

To incentivise open primary ecological data and ensure long‐term preservation, we propose a decentralised data management approach using blockchain technology. The blockchain‐based database is governed by transparent and immutable data management protocols, agreed on by members of the network. Specialised protocols ensure agreement in the network before new data is accepted, and no entity can single‐handedly alter existing data.

We introduce the ECKOchain, a ‘proof of concept’ ecological blockchain‐based database created with the Hyperledger Fabric framework. While metadata and access policies are distributed to all network members, primary data remains with data owners and are served on‐demand to approved parties according to specified usage licences. Details of data requests are preserved indefinitely on the blockchain and serve as auditable data usage agreements.

With the distributed blockchain‐based database we advocate for open science and transparency in long‐term management of ecological data. The ECKOchain is also suitable for other scientific fields where auditability and transparency are considerations to long‐term data management.
Overcoming data gaps using integrated models to estimate migratory species' dynamics during cryptic periods of the annual cycle
Authors: Farr Matthew T. , Zylstra Erin R. , Ries Leslie , Zipkin Elise F. 
Published: January 2024

Abstract

Environmental and anthropogenic factors affect the population dynamics of migratory species throughout their annual cycles. However, identifying the spatiotemporal drivers of migratory species' abundances is difficult because of extensive gaps in monitoring data. The collection of unstructured opportunistic data by volunteer (citizen science) networks provides a solution to address data gaps for locations and time periods during which structured, design‐based data are difficult or impossible to collect.

To estimate population abundance and distribution at broad spatiotemporal extents, we developed an integrated model that incorporates unstructured data during time periods and spatial locations when structured data are unavailable. We validated our approach through simulations and then applied the framework to the eastern North American migratory population of monarch butterflies during their spring breeding period in eastern Texas. Spring climate conditions have been identified as a key driver of monarch population sizes during subsequent summer and winter periods. However, low monarch densities during the spring combined with very few design‐based surveys in the region have limited the ability to isolate effects of spring weather variables on monarchs.

Simulation results confirmed the ability of our integrated model to accurately and precisely estimate abundance indices and the effects of covariates during locations and time periods in which structured sampling are lacking. In our case study, we combined opportunistic monarch observations during the spring migration and breeding period with structured data from the summer Midwestern breeding grounds. Our model revealed a nonstationary relationship between weather conditions and local monarch abundance during the spring, driven by spatially varying vegetation and temperature conditions.

Data for widespread and migratory species are often fragmented across multiple monitoring programs, potentially requiring the use of both structured and unstructured data sources to obtain complete geographic coverage. Our integrated model can estimate population abundance at broad spatiotemporal extents despite structured data gaps during the annual cycle by leveraging opportunistic data.