Miracle-dz/UniFAR-FTUs huggingface dataset:
Voluntary Delisting of Russian Companies at Different Stages of Corporate Life Cycle

Nowadays, the number of companies leaving the stock exchange is steadily increasing. Researchers and practitioners continue to actively discuss the reasons for voluntary delisting and explore the factors that influence the probability of it. However, the results of existing studies are heterogeneous and inconclusive, indicating the need for further research. Thispaper continues the line of research on the determinants of voluntary delisting by studying the delisting of Russian companies. Unlike previous studies, we identify and compare the factors that influence the decision to delist at different stages of the organization’s life cycle. We argue that delisting factors, although specific to each company, should remain similar for firms at the same stage of development. The company-related factors that we test include investment expenditures, profitability, stock volatility and book-to-market ratio. The study is based on a sample of 162 public Russian companies traded on the Moscow Exchange, of which 75 delisted between 2011 and 2019. The Bloomberg database was used to generate the sample of companies. Using the panel probit regression model, we found that firms with greater investment expenditures are less likely to delist at the Introduction and more likely at the Maturity and Decline stages. The results of our research also show that firm stock volatility had a positive effect on the delisting probability of Russian firms at all stages of theirlife cycle, except for the Introduction stage. Finally, we demonstrate that companies at the Introduction and Growth stages are more likely to leave the stock exchange if they have a greater book-to-market ratio. The results of our study can be used by financial analysts and academics to analyze the probability of delisting of public companies at different life cycle stages.
Dental Pulp Stem Cells and Current in vivo Approaches to Study Dental Pulp Stem Cells in Pulp Injury and Regeneration

Dental pulp stem cells (DPSCs) have garnered significant interest in dental research for their unique characteristics and potential in tooth development and regeneration. While there were many studies to define their stem cell-like characteristics and osteogenic differentiation functions that are considered ideal candidates for regenerating damaged dental pulp tissue, how endogenous DPSCs respond to dental pulp injury and supply new dentin-forming cells has not been extensively investigated in vivo. Here, we review the recent progress in identity, function, and regulation of endogenous DPSCs and their clinical potential for pulp injury and regeneration. In addition, we discuss current advances in new mouse models, imaging techniques, and its practical uses and limitations in the analysis of DPSCs in pulp injury and regeneration in vivo.
The incursion of Highly Pathogenic Avian Influenza (HPAI) into North Atlantic seabird populations: an interim report from the 15th International Seabird Group conference

The H5N1 Highly Pathogenic Avian Influenza (HPAI) outbreak devastated populations of North Atlantic seabirds in the 2022 breeding season. Positive cases of HPAI in seabirds were previously reported in Great Skuas Stercorarius skua colonies in the 2021 breeding season (Banyard et al. 2022). During the 2022 breeding season, major outbreaks were sequentially reported in an increasing number of species and spread generally north to south across the UK and beyond. To date 15 breeding seabird species have tested positive in Scotland and over 20,500 birds have been reported dead (NatureScot, unpublished data). By September 2022, more than 2,600 Great Skuas had died: 13% of the UK population and 8% of the world population (NatureScot, unpublished data), 1,400 on Foula, Shetland alone (Camphuysen & Gear 2022; Camphuysen et al. 2022). These figures are derived mostly from colony counts and will be a substantial underestimate of total mortality, not accounting for birds lost at sea or remote locations with limited reporting. In response to this unfolding situation, a workshop was convened in August 2022, at the 15th International Seabird Group Conference in Cork, to bring together the seabird community (researchers, ringers, volunteers, site managers, non- government organisations and policymakers) and infectious disease experts to share knowledge and experiences and recommend positive future actions. This report focuses on three key considerations addressed by the workshop, and will be followed by a full open-access report on the EcoEvoRxiv repository. All six presen- tations can be viewed online (Gamble et al. 2022). The workshop’s key points were shared at the JNCC-BTO 'UK Workshop on Highly Pathogenic Avian Influenza (HPAI) in Wild Birds' on 10 November 2022 and are being fed into ongoing policy discussions around future surveillance needs and requirements. The views expressed here reflect the wider discussion expressed by the seabird community in the workshop that followed the presentations and should not be associated with any individual author.
Treme: Race and Place in a New Orleans Neighborhood

Across Rampart Street from the French Quarter, the Faubourg TremE neighborhood is arguably the most important location for African American culture in New Orleans. Closely associated with traditional jazz and "second line" parading, TremE is now the setting for an eponymous television series created by David Simon (best known for his work on "The Wire"). Michael Crutcher argues that TremE's story is essentially spatial--a story of how neighborhood boundaries are drawn and take on meaning and of how places within neighborhoods are made and unmade by people and politics. TremE has long been sealed off from more prominent parts of the city, originally by the fortified walls that gave Rampart Street its name, and so has become a refuge for less powerful New Orleanians. This notion of TremE as a safe haven--the flipside of its reputation as a "neglected" place--has been essential to its role as a cultural incubator, Crutcher argues, from the antebellum slave dances in Congo Square to jazz pickup sessions at Joe's Cozy Corner. "TremE" takes up a wide range of issues in urban life, including highway construction, gentrification, and the role of public architecture in sustaining collective memory. Equally sensitive both to black-white relations and to differences within the African American community, it is a vivid evocation of one of America's most distinctive places.
A Comprehensive Review of Emerging Trends in Aircraft Structural Prognostics and Health Management

This review paper addresses the critical need for structural prognostics and health management (SPHM) in aircraft maintenance, highlighting its role in identifying potential structural issues and proactively managing aircraft health. With a comprehensive assessment of various SPHM techniques, the paper contributes by comparing traditional and modern approaches, evaluating their limitations, and showcasing advancements in data-driven and model-based methodologies. It explores the implementation of machine learning and deep learning algorithms, emphasizing their effectiveness in improving prognostic capabilities. Furthermore, it explores model-based approaches, including finite element analysis and damage mechanics, illuminating their potential in the diagnosis and prediction of structural health issues. The impact of digital twin technology in SPHM is also examined, presenting real-life case studies that demonstrate its practical implications and benefits. Overall, this review paper will inform and guide researchers, engineers, and maintenance professionals in developing effective strategies to ensure aircraft safety and structural integrity.
LncRNA pol-lnc78 as a ceRNA regulates antibacterial responses via suppression of pol-miR-n199-3p-mediated SARM down-regulation in Paralichthys olivaceus

Long non-coding RNAs (lncRNAs) function as key modulators in mammalian immunity, particularly due to their involvement in lncRNA-mediated competitive endogenous RNA (ceRNA) crosstalk. Despite their recognized significance in mammals, research on lncRNAs in lower vertebrates remains limited. In the present study, we characterized the first immune-related lncRNA (pol-lnc78) in the teleost Japanese flounder (Paralichthys olivaceus). Results indicated that pol-lnc78 acted as a ceRNA for pol-miR-n199-3p to target the sterile alpha and armadillo motif-containing protein (SARM), the fifth discovered member of the Toll/interleukin 1 (IL-1) receptor (TIR) adaptor family. This ceRNA network regulated the antibacterial responses of flounder via the Toll-like receptor (TLR) signaling pathway. Specifically, SARM acted as a negative regulator and exacerbated bacterial infection by inhibiting the expression of inflammatory cytokines IL-1β and tumor necrosis factor-α (TNF-α). Pol-miR-n199-3p reduced SARM expression by specifically interacting with the 3’ untranslated region (UTR), thereby promoting SARM-dependent inflammatory cytokine expression and protecting the host against bacterial dissemination. Furthermore, pol-lnc78 sponged pol-miR-n199-3p to ameliorate the inhibition of SARM expression. During infection, the negative regulators pol-lnc78 and SARM were significantly down-regulated, while pol-miR-n199-3p was significantly up-regulated, thus favoring host antibacterial defense. These findings provide novel insights into the mechanisms underlying fish immunity and open new horizons to better understand ceRNA crosstalk in lower vertebrates.
Subcutaneous Streptococcus dysgalactiae GAPDH vaccine in mice induces a proficient innate immune response

Background Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) on the surface of Streptococcus dysgalactiae, coded with gapC, is a glycolytic enzyme that was reported to be a moonlighting protein and virulence factor. Objective This study assessed GAPDH as a potential immunization candidate protein to prevent streptococcus infections. Methods Mice were vaccinated subcutaneously with recombinant GAPDH and challenged with S. dysgalactiae in vivo. They were then evaluated using histological methods. rGAPDH of mouse bone marrow-derived dendritic cells (BMDCs) was evaluated using immunoblotting, reverse transcription quantitative polymerase chain reaction, and enzyme-linked immunosorbent assay methods. Results Vaccination with rGAPDH improved the survival rates and decreased the bacterial burdens in the mammary glands compared to the control group. The mechanism by which rGAPDH vaccination protects against S. dysgalactiae was investigated. In vitro experiments showed that rGAPDH boosted the generation of interleukin-10 and tumor necrosis factor-α. Treatment of BMDCs with TAK-242, a toll-like receptor 4 inhibitor, or C29, a toll-like receptor 2 inhibitor, reduced cytokines substantially, suggesting that rGAPDH may be a potential ligand for both TLR2 and TLR4. Subsequent investigations showed that rGAPDH may activate the phosphorylation of MAPKs and nuclear factor-κB. Conclusions GAPDH is a promising immunization candidate protein for targeting virulence and enhancing immune-mediated protection. Further investigations are warranted to understand the mechanisms underlying the activation of BMDCs by rGAPDH in a TLR2- and TLR4-dependent manner and the regulation of inflammatory cytokines contributing to mastitis pathogenesis.
Effect of Matching Individual Power Perception and Brand Anthropomorphism on Purchasing Intentions

This paper explores the mechanism and boundary conditions for the effect of matching anthropomorphized brand image and individual power perception on consumers’ purchasing intention. Using a Stereotype Content Model, this paper divides brand anthropomorphism into warmth-related and competence-related anthropomorphized images and adopts different methods to activate consumers’ power perception for discussion and verification. The results of the three experiments show that consumers with low power perception prefer warmth-related anthropomorphized brands while those with higher power perception lean towards competence-related ones. Matching high (low) power perception and types of anthropomorphism is mediated by an exchange relationship (communal relationship). The above effects exist only in the context of low perceived risk. When perceived risk is high, regardless of power perception, consumers all prefer competence-related anthropomorphized brands. This paper is of theoretical and practical significance as it not only enriches the research into brand anthropomorphism, but also provides guidance for tailoring strategies of brand anthropomorphism.
Perspective: Magnetic skyrmions—Overview of recent progress in an active research field

Within a decade, the field of magnetic skyrmionics has developed from a niche prediction to a huge and active research field. Not only do magnetic skyrmions—magnetic whirls with a unique topology—reveal fundamentally new physics, but they have also risen to prominence as up-and-coming candidates for next-generation high-density efficient information encoding. Within a few years, it has been possible to efficiently create, manipulate, and destroy nanometer-size skyrmions in device-compatible materials at room-temperature by all electrical means. Despite the incredibly rapid progress, several challenges still remain to obtain fully functional and competitive skyrmion devices, as discussed in this perspective article with a focus on recent results.Within a decade, the field of magnetic skyrmionics has developed from a niche prediction to a huge and active research field. Not only do magnetic skyrmions—magnetic whirls with a unique topology—reveal fundamentally new physics, but they have also risen to prominence as up-and-coming candidates for next-generation high-density efficient information encoding. Within a few years, it has been possible to efficiently create, manipulate, and destroy nanometer-size skyrmions in device-compatible materials at room-temperature by all electrical means. Despite the incredibly rapid progress, several challenges still remain to obtain fully functional and competitive skyrmion devices, as discussed in this perspective article with a focus on recent results.
Psychological impacts of the COVID-19 on health care providers

BACKGROUND: Psychological distress, functional impairment, reduced quality of life, and subjective well-being were the most common negative psychological effects during the COVID-19 outbreak. The present study was to investigate the impact of job stress, hospital resources, and fear of infection on job burnout of medical staff in Iran during the Covid-19 pandemic. MATERIALS AND METHODS: In this cross-sectional study, 223 hospital staff from several public and private hospitals in Tehran and Mazandaran provinces, selected through convenience sampling. The questionnaire included the validated “Maslach Burnout Inventory (MBI)”, “job stress scale (Parker and DeCotiis, 1983)”, and the questions about “hospital resources”, and “fear of infection” developed by the researcher wereused to collect data. Data were analyzed by correlation and regression methods using SPSS software. RESULTS: The results revealed that there was a significant difference in the scores on the burnout scale, in the dimension of emotional exhaustion, but the differences were not significant in the dimensions of depersonalization and self-accomplishment. Also, job stress and fear of infection significantly correlated with job burnout in the dimensions of emotional exhaustion and personal-accomplishment. However, the correlation between the adequacy of hospital resources and job burnout in these two dimensions was not significant. None of the three variables of the study showed a significant correlation with the dimension of depersonalization. CONCLUSION: It is essential to consider the package of psychological interventions which, primarily includes finding the sources of stress to resolve them through stress management programs, based on education and training in stress coping and management strategies.
Cigarette Smoke-Induced Reactive Oxygen Species Formation: A Concise Review

Smoking is recognized as a significant risk factor for numerous disorders, including cardiovascular diseases, respiratory conditions, and various forms of cancer. While the exact pathogenic mechanisms continue to be explored, the induction of oxidative stress via the production of excess reactive oxygen species (ROS) is widely accepted as a primary molecular event that predisposes individuals to these smoking-related ailments. This review focused on how cigarette smoke (CS) promotes ROS formation rather than the pathophysiological repercussions of ROS and oxidative stress. A comprehensive analysis of existing studies revealed the following key ways through which CS imposes ROS burden on biological systems: (1) ROS, as well as radicals, are intrinsically present in CS, (2) CS constituents generate ROS through chemical reactions with biomolecules, (3) CS stimulates cellular ROS sources to enhance production, and (4) CS disrupts the antioxidant system, aggravating the ROS generation and its functions. While the evidence supporting these mechanisms is chiefly based on in vitro and animal studies, the direct clinical relevance remains to be fully elucidated. Nevertheless, this understanding is fundamental for deciphering molecular events leading to oxidative stress and for developing intervention strategies to counter CS-induced oxidative stress.
Self-assessment of friendships and social inclusion of adults with intellectual disabilities

Introduction. Persons with intellectual disabilities often experience difficulties in achieving interpersonal relations and social inclusion, which are important aspects of quality of life. Objectives. This paper aims to examine the perspective of people with intellectual disabilities on friendships and social inclusion and identify factors which influence their development, with the ultimate goal of defining recommendations for improving support. Methods. A qualitative research approach was chosen to gain insight into participants' subjective experiences and views. For this purpose, an individual semi-structured interview was conducted with eight adults with mild and moderate intellectual disabilities. Results. Participants generally express satisfaction with their friendships and social involvement. They spend time with friends, mostly in the centre, where they are included in the daily program. They especially emphasize the importance of the emotional support they receive from friends. In addition to activities in the daily centre, participants play sports, but they spend most of their free time at home. The factors that negatively affect their social inclusion and friendships are overly protective parents, living conditions, and low motivation. The factors that promote both are parental support, the use of social media, and visiting different places in the community. Conclusion. Although participants are mostly satisfied with their friendships and social inclusion, they also express different needs. Being included in the daily centre has a positive impact on developing friendships and social inclusion, but at the same time, it is necessary to offer inclusive content in society and provide both formal and informal support in this area.
Optimal Decisions for Carbon Emission Reduction through Technological Innovation in a Hybrid-Channel Supply Chain with Consumers’ Channel Preferences

This paper integrates carbon emission reduction via technological innovation with consumer channel preferences in both single- and dual-channel supply chains selling low-carbon products. Linear demand functions which simultaneously reflect the consumers’ channel preferences and low-carbon sensitivity are developed by considering the consumers’ segmentation. On this basis, we present two Stackelberg game models: one for each of the single- and dual-channel supply chains. In the first, the manufacturer sells low-carbon products through a traditional retailer who has a physical store, while in the second the manufacturer opens an online direct channel to compete with the traditional retailer. For the two models developed, the optimal pricing decisions, carbon emission reduction level, and profits are derived and discussed. Numerical examples are given to verify the effectiveness and practicality of the proposed models and solutions. The results show that supply chain members’ profits are affected by system parameters such as the carbon price, consumers’ low-carbon sensitivity, channel preference, etc. Furthermore, although the aforementioned parameters stimulate the manufacturer to reduce carbon emission, this does not always benefit the retailer. Comparison of the two models indicates that dual-channel selling is only the better choice for both the manufacturer and the retailer under certain conditions.
A Novel Predictive Machine Learning Model Integrating Cytokines in Cervical-Vaginal Mucus Increases the Prediction Rate for Preterm Birth

Preterm birth (PB) is a leading cause of perinatal morbidity and mortality. PB prediction is performed by measuring cervical length, with a detection rate of around 70%. Although it is known that a cytokine-mediated inflammatory process is involved in the pathophysiology of PB, none screening method implemented in clinical practice includes cytokine levels as a predictor variable. Here, we quantified cytokines in cervical-vaginal mucus of pregnant women (18–23.6 weeks of gestation) with high or low risk for PB determined by cervical length, also collecting relevant obstetric information. IL-2, IL-6, IFN-γ, IL-4, and IL-10 were significantly higher in the high-risk group, while IL-1ra was lower. Two different models for PB prediction were created using the Random Forest machine-learning algorithm: a full model with 12 clinical variables and cytokine values and the adjusted model, including the most relevant variables-maternal age, IL-2, and cervical length- (detection rate 66 vs. 87%, false positive rate 12 vs. 3.33%, false negative rate 28 vs. 6.66%, and area under the curve 0.722 vs. 0.875, respectively). The adjusted model that incorporate cytokines showed a detection rate eight points higher than the gold standard calculator, which may allow us to identify the risk PB risk more accurately and implement strategies for preventive interventions.
Modeling Regional Interdependencies using a Global Error-Correcting Macroeconometric Model 1

Financial institutions are ultimately exposed to macroeconomic fluctuations in the global economy. This paper proposes and builds a compact global model capable of generating forecasts for a core set of macroeconomic factors (or variables) across a number of countries. The model explicitly allows for the interdependencies that exist between national and international factors. Individual region-specific vector error-correcting models are estimated, where the domestic variables are related to corresponding foreign variables constructed exclusively to match the international trade pattern of the country under consideration. The individual country models are then linked in a consistent and cohesive manner to generate forecasts for all the variables in the world economy simultaneously. The global model is estimated for 25 countries grouped into 11 regions using quarterly data over 1979Q1-99Q1. The degree of regional interdependencies is investigated via generalized impulse responses where the effects of shocks to a given variable in a given country on the rest of the world are provided. The model is then used to investigate the effects of various global risk scenarios on a bank’s loan portfolio.