dataesr/scientific-paragraphs-categorization huggingface dataset:
Respondents were recruited through an open call via email to all ESTRO members, social media (LinkedIn and Twitter), and professional networks. Interested respondents were first asked to complete an online survey, based on the initial survey  12, 21  via the platform Survey Monkey (www. survey monkey. com). Respondents who met the inclusion criteria received an open invitation via email to participate in this study. To specifically learn about low DEI situations, RO professionals were eligible if they experienced challenges regarding DEI at work. To capture this, the research team opted for a cutoff of about 20% (ie, when respondents answered "disagree" to at least 4 of the 22 questions of the selection survey). 12, 21 In addition, agreeing to publication of the data and being currently employed in either Great Britain, Italy, Poland, or Switzerland were used as inclusion criteria.
This study has several limitations that need to be addressed. Experience from earlier workplaces was not captured and we might have missed the worst experiences of those who ended up leaving the field. At the same time, we hope we are presenting the view of a minority, as we are aware of our negative selection bias of RO professionals with challenging DEI at work. In total, 26 interviews were conducted in this research. Normally, 12 interviews are recommended for saturation. 44 However, this requires the presence of homogenous groups. In this case, the experiences of a variety of professionals with different professional roles and from 4 different countries were studied. Nevertheless, during data collection, saturation was reached regarding the implicit conflicting values that were present in the interviewees' stories.
The focus has now expanded to other topics, but pensions remain an important area of interest. And more than 80 countries have or are implementing national strategies for financial literacy, i. e. , policy makers as well have acknowledged the importance of financial literacy at the national level. Continuing on the topic of the global economy and pioneering work, if we want to have a good understanding of how finance and the use of financial instruments can be important for the wellbeing of individuals and the economy at large, we need to turn to the World Bank Global Findex. It is the most comprehensive database on financial inclusion; the data, which are collected directly from users of financial services, provide unique information on how adults save, borrow, make payments, and manage financial risks.
QFQ impiril mteril The empirical material consists of 6 ongoing innovative IT projects from Ubisoft's IT portfolio, that we will refer to as use-cases. All of the studied use-cases revolved around a common theme: decentralized data storage. One of these 6 decentralized storage use-cases was selected, it consisted in adding a new FR / DP pair to an existing IT system, that we will refer to as the Production Data Sharing tool (PDS tool) for confidentiality purposes. It is a system that allows the mutualization of game assets between different developer machines.
Data collection Based on data availability, this study uses the annual panel data of Chinese A-share listed companies from 2010 to 2020 as the study sample. Except for the Huazheng ESG data from the Wind database, we obtain all other financial data from China Stock Market & Accounting Research database (CSMAR). To ensure the validity of data, samples are screened according to the following principles: (1) samples of corporates with irregular transactions were excluded; (2) samples of corporates in the financial industry and real estate industry are excluded; (3) samples of corporates with asset-liability ratio greater than 1 were excluded; (4) samples with missing values on regression variables were excluded. Therefore, a total of 11,742 firm-year observations for 1,486 firms were finally obtained.
ESGP In this study, we use the Huazheng ESG rating index to measure the ESGP of Chinese list corporates. Huazheng ESG rating system is one of the widely used ESG rating systems during academic research and for investing in China. Compared with other Chinese ESG rating systems, the Huazheng ESG rating has the advantages of wide coverage, early rating time, and high update frequency. By collecting data from various sources such as social responsibility reports, ESG reports, regulatory websites, and media information, Huazheng has divided the ESGP of Chinese corporates into 9 grades from C to AAA, and we assigned the 9 grades of C ~AAA as 1-9 in order in the empirical test of this study.
Overview This work reports findings from a secondary analysis of data collected as part of a cross-sectional, self-completed, and paper-based survey of German patients with RMD in collaboration with the patient organization German League Against Rheumatism (Deutsche Rheuma-Liga, Landesvertretung Brandenburg) and outpatient rheumatologists. The survey was embedded in a >2-year mixed methods study investigating the acceptance, opportunities, and obstacles to the implementation of TM  [8]. This survey was conducted from September 1 to December 30, 2019. The exact methodology of the survey has been described previously  [8].
Data Selection or Population Considered From the aforementioned German nationwide survey, a data set of 438 patients in total was analyzed (Table  1 ). The response rate for each of the 26 questions is listed in Table  1. Individuals who missed to answer questions on age (question [Q] 17); sex (Q18); TM try (Q11: "Would you like to try telemedicine?"); or TM wish (Q14: "Would you like your rheumatologist to offer you telemedicine services?") were excluded from this study. Consequently, a total of 282 (282/438, 64. 4%) and 270 (270/438, 61. 6%) patients were analyzed for TM try and TM wish, respectively. Q21: "Are you in rheumatology treatment?" 420 (95. 9) 5 categories: city (>100,000 inh d ), town (20. 000-100,000 inh), provincial town (5000-20,000 inh), rural area (<5000 inh), and not answered.
All the models were stratified by sex. All the statistical analyses were performed using R software (version 4. 1. 2, R Core Team) for Windows (version 10, Microsoft Corporation). Bayesian estimation was performed using the rstanarm package (version 2. 21. 1)  [24, 25]. Weakly informative priors (default priors in rstarnarm) were used. The default priors in rstanarm 2. 21. 1 are designed to be weakly informative. The Bayesian model adds priors (independent by default) to the coefficients of the generalized linear model. The Bayesian estimation was performed via the Markov chain Monte Carlo Bernoulli model, with 4 randomly initialized Markov chains, each for 2000 iterations (including a warm-up period of 1000 iterations that is discarded). BMA was performed using the BMA package (version 3.
Limitations The primary data on which this analysis was based were collected until December 30, 2019, that is, shortly before the SARS-CoV-2 outbreak in Germany (January 27, 2020). Owing to the need to reduce physical contact and thus minimize the risk of infection, the use of TM initially received a major uptake in global health care delivery  [13]. Hence, more patients with RMD and likely other subgroups would have tried TM by now  [42]. A replication of the initial survey is essential to examine whether and how the identified factors have changed. In addition, the limitations of the primary data still apply  [8]. These are primarily the high potential for self-selection and nonresponse bias. In addition, we cannot exclude a selection bias because individuals with missing data regarding age (16/438, 3.
Acknowledgments The authors would like to thank the survey participants, their teams, and all other supporters of TeleRheumaBB. They also owe special gratitude to KV Consult-und Managementgesellschaft mbH, which initiated the study in the first place. This study is part of the PhD thesis of FM (AGEIS,  Université Grenoble Alpes, Grenoble, France). This work was supported by the  French National Research Agency (France)  under the framework of the  Investissements d'avenir program  ( ANR-10-AIRT-05  and  ANR-15-IDEX-02 ). This publication was funded by the  Brandenburg Medical School Open Access Publication Fund  supported by the  German Research Association. The sponsors had no involvement in the review or approval of the manuscript for publication. This work forms a part of a broader transnational and interdisciplinary collaboration between  Université Grenoble Alpes (France) ,  Universitätsklinikum Erlangen-Nürnberg (Germany) , and  Brandenburg Medical School (Germany).
Silence behavior is a common and influential phenomenon in organizations. Scholars have explored a lot of antecedents for silence behavior, but rarely from the perspective of colleagues. Based on the conservation of resources theory and self-regulation theory, the study constructs a double-moderated mediating model to explore the relationship between workplace suspicion and silence behavior as well as its mechanism. This study conducts a three-wave questionnaire survey and adopts 303 valid pairs of samples from 23 companies in China to validate the research hypotheses. A confirmatory factor analysis in the AMOS software and the PROCESS bootstrapping program in SPSS is used in this study. Our findings indicate that workplace suspicion is positively correlated with silence behavior; knowledge hiding mediates the relationship between workplace suspicion and silence behavior; knowledge-based psychological ownership moderates this mediating effect by strengthening the negative impact of workplace suspicion on knowledge hiding; and face consciousness moderates the mediating effect by weakening the positive impact of workplace suspicion on knowledge hiding.
Participants and procedures The data were collected from 23 companies in eastern and southern China, including Shanghai, Nanchang, Guangzhou, Jinan, and other cities. These companies are mainly engaged in education, training, business consulting, machinery manufacturing, and other industries. The research takes the form of offline research, and the specific sampling process is as follows: first, the research team contacts the subjects who may participate in the research with the help of relationships, informs them of the form and purpose of the research, and makes a commitment to the subjects that the data is only used for academic research. Second, after obtaining the permission of the subjects, each subject is asked to determine 2-4 colleagues who have more contact with them in the same work team, and the investigator randomly invites one of those colleagues (i.
e. , focus employees) to conduct research, so as to finally form the data of the "employeecolleague" pairing. Furthermore, we committed all respondents regarding the confidentiality of the data, asked them to remain relaxed while filling out the questionnaire, and assured them that there is no correct or incorrect answer. As a result, as many natural answers as possible were obtained. To reduce the potential biases of the common method, the data collection procedure was completed in three phases, each separated by 40 days. In phase 1, initial subjects were required to assess their suspicion of peers, their level of knowledge-based psychological ownership, and face consciousness. In phase 2, initial subjects were asked to answer questions about knowledge hiding. In phase 3, the selected colleagues reported silence behavior and demographic characteristics.
The discriminant validity of each scale was tested by comparing χ 2 (df), χ 2 /df, Δχ 2 (Δdf), CFI, TLI, IFI, and RMSEA (see Table  1 ). It is generally believed that an ideal model is proved if 1 < χ 2 /df < 3, CFI > 0. 90, TLI > 0. 90, IFI > 0. 90, and RMSEA < 0. 08  (Bentler and Bonett, 1980). As shown in Table  1 , the expected five-factor model (workplace suspicion, knowledge hiding, silence behavior, knowledge-based psychological ownership, and face consciousness) provided a reasonable fit to the data [χ 2 (df) = 291. 35 (108), χ 2 /df = 2. 70, p < 0. 01; CFI = 0. 94; TLI = 0. 93; IFI = 0. 94; RMSEA = 0. 07]. In addition, we measured seven alternative models with different combinations of focal variables. The results reported that our expected model had significantly better fitted the data than the alternative models.
Mediation results Table  3  presents the results, analyzed by SPSS 26. 0 and the PROCESS program developed by  Hayes and Preacher (2014) , for the mediated and moderated effects of the model. We used model 4 of the PROCESS program to test the mediation effect. The result revealed that workplace suspicion is positively associated with silence behavior (β = 0. 60, p < 0. 01) supports hypothesis 1. When we add knowledge hiding into the model as a mediator, we found that the direct effect of workplace suspicion on silence behavior was not significant (β = 0. 19, n. s. ) but the indirect effect was (β = 0. 60, p < 0. 01). Moreover, the indirect effect accounted for 68. 33% of the total effect, which indicates that knowledge hiding mediated the influence of workplace suspicion on silence behavior.
33, p < 0. 01). These findings supported hypothesis 5. Furthermore, we applied model 7 of the SPSS PROCESS macro to test the moderated mediation effects (hypotheses 4 and 6). Hypothesis 4 assumes that knowledge-based psychological ownership moderates the indirect effect between workplace suspicion and silence behavior through knowledge hiding and that such an effect is more pronounced when knowledge-based psychological ownership is higher. Following  Hayes (2015) , we first analyzed the index of moderated mediation, which provides a statistically more formal test than testing the indirect relationships at high and low values of moderator. The index of moderated mediation was significant (effect size = 0. 10, p < 0. 05), which indicated that hypothesis 3 was supported. Moreover, as shown in Table  3 , the indirect effect of workplace suspicion on silence behavior through knowledge hiding was more positive (effect size = 0.
Establishing the scope and boundaries of the review We used several criteria to select the studies from which to build a comprehensive database of CSR disclosure literature. First, we used a timeframe between 1982 and 2020 to select the studies. Research in the CSR domain shows that prior to the last four decades, the research on CSR merely considered any philanthropic actions of the firm and did not provide a clear definition of the scope of the study. The year 1982 was selected as the starting year because the first study describing the nature of CSR disclosure was published in 1982 by  Wiseman (1982). We reached this study using the ancestry approach in the literature search  (Georgesen & Harris, 1998). Next, we defined the conceptual boundaries for this research. We used a key terms, namely determinants or drivers and consequences or outcomes of CSR disclosure, as a conceptual boundary for this research.
Therefore, only studies examining the determinants and consequences of CSR disclosure and its dimensions were considered. Studies investigating the outcomes and consequences of CSR disclosure and its dimensions were considered under consequences. Afterward, we developed a series of keywords. After brainstorming and an initial search of seminal reviews and papers, we developed a list of keywords and combined them to form the search string as shown in Figure  1. This research included empirical work published in journals ranked in the Chartered Association of Business Schools (ABS) 2018 list and excluded books, book chapters, conference proceedings, and work published in predatory journals to enhance the quality of the systematic literature review  (Stumbitz et al. , 2018). We developed a comprehensive database of articles for the systematic review by searching for articles in a wide range of databases, including EBSCOhost, Web of Science (ISI), Elsevier Science Direct, SAGE Journals, and Wiley Online Library, and a search engine, that is, Google Scholar.
Study identification, screening, and selection process The aim of this step was to identify, screen, and select highly reliable studies to answer the review questions. First, an initial search was conducted using the keywords mentioned in Figure  1  in various databases and Google Scholar. We found 1723 potentially relevant articles for the analysis. Next, the identified articles were imported to bibliographic software End-Note X9 i , and the duplicate command in EndNote was used to eliminate duplicated studies. This reduced the number of articles from 1723 to 1129. Duplication occurs mainly because of the availability of the same title in various sources (e. g. , social science research network and ResearchGate). We evaluated the remaining 1129 articles against the quality screening criteria outlined in step 3 in Figure  1.
Therefore, future research should be targeted toward examining SMEs' social and environmental performance issues. The academic literature has suggested the need to conduct country-specific CSR disclosure studies in developing countries  (Haji, 2013; Kansal et al. , 2014). Comparative studies on social and environmental disclosure have reported considerable differences between countries regarding disclosures (Laan-  Smith et al. , 2005). A single country analysis dominates the disclosure research in both developed and developing countries and requires the use of a well-refined comparative analysis of disclosures in developed and developing countries. However, some scholars (e. g. ,  Sierra-García et al. , 2015)  have examined the determinants of social and environmental disclosures by employing large datasets covering developed and developing countries of the world.
Future research should employ such datasets to unearth inter-and intra-regional differences in social and environmental disclosure determinants. In addition to more institutional context studies, studies focusing on organizational and individual levels of analysis are required. While some studies have investigated corporate executives' attitudes toward disclosure  (Adams, 2002; Adams & Harte, 1998)  or the impact of board composition and diversity on disclosure  (Cabeza-Garcia et al. , 2018; Nekhili et al. , 2017) , little is known about how firm's organizational culture and identity or the underlying psychological processes and decision-maker characteristics influence CSR disclosure at the micro level. Our systematic review calls for more research on the role of normative institutions and their related normative isomorphic logic in promoting social and environmental reporting in both developed and developing countries, as only a few studies have looked at the significance of normative institutions in developing countries  (Ali & Frynas, 2018).
Aren't there already a great number of digital twinning activities, what makes EVE different? There are a handful of related activities (e. g. , Destination Earth, NVIDIA's Omniverse, and the DITTO Programme of the UN Ocean Decade). EVE draws impetus from them, but is larger in scope. EVE differs also through its focus on establishing a sustainable and equitable global footing that better links to the landscape of climate-related data and information, adds interactivity at scale, and is constituted to enable global capacity building, cooperation, and co-development. Depending on local circumstances, an EVE center could, however, emerge as an outgrowth of an existing activity.
51 We collected primary data through semi-structured interviews with representatives of the six companies studied, as well as with the circular economy (CE) project facilitator and the secretary of the Maritime Union. The interviews lasted a minimum of one hour and were conducted at one-year intervals. We also used secondary data such as steering committee reports, press articles, and information from the port website for the analysis. Content analysis was the technique selected for analyzing our data  (Sheppard, 2020). We conducted the analysis using Nvivo 12 Plus software and applied it to the collected documents and transcribed interviews  (Sheppard, 2020). We first conducted an intra-case analysis to describe each case, followed by an inter-case analysis.
Kinship among all archaeological samples was further explored in a genotype likelihood framework, with ngsRelate identifying the three clusters observed in PCA to be genetic clones: P50 identical to P53, P56 and P59, P51 identical to P55, and P54 identical to P57 (Fig. 4 ). The software also identified all four members of the first clonal group to be in a parent-offspring relationship with P52. Genetic distances between modern samples and the four Grotta di Pertosa genotypes were consistent with the PCA plot. The first clonal group (P50, P53, P56 and P59) has the closest genetic affinity with domesticated vines, with the closest being 'Landroter' , a variety identified as admixed by Laucou et al. 46. The most closely related non-admixed variety is 'Gouais blanc' , which is a member of the Balkan wine group.
Following the approach by Myles et al. 47  , the deeper history of the cultivated vines was explored in PCA by projecting cultivars and archaeological samples onto sylvestris diversity (Fig. 5 ). Consistent with previous observations, most modern cultivars fall in a space separating wild grapevines from Turkey and Afghanistan. Although the reference database has few sylvestris accessions from the eastern part of grapevine's native range-notably lacking samples from Armenia, Azerbaijan, and Pakistan-the analysis recapitulates Myles et al. 's 47 findings, wherein it was argued that the cultivated genepool largely descends from wild grapevines in West Asia. Grotta di Pertosa Clonal groups 1 and 3 are projected into the same space as modern cultivars, indicating they have little or no gene flow from sylvestris populations in Greece, Italy, or other parts of Western Europe.
GMM statistical analyses All statistical analyses were performed with the MASS package 102. Based on the 48 shape descriptors, the morphology of the 55 archaeological seeds was characterized by comparison to modern populations of grape pips using Linear Discriminant Analyses (LDA). A two-step approach was applied using two nested LDAs and the modern reference collection of wild grapevines and cultivated varieties of ISEM  29, 44. These wild grapes and modern cultivars are originating from various countries from Western Asia to Central and Western Europe and around the Mediterranean. A first LDA was performed to identify the wild or domesticated status of the archaeological pips. The archaeological pips were compared to a balanced modern collection of randomly selected pips of wild (N = 2430) and domesticated (N = 2430) grapes.
Acknowledgements A portion of this project was undertaken on the Viking Cluster, which is a high performance compute facility provided by the  University of York. We are grateful for computational support from the  University of York High Performance Computing  service, Viking and the  Research Computing  team. This project has received funding from the  European Union 's  Horizon 2020 research and innovation programme  under the  Marie Skłodowska-Curie  grant agreement No  842577 , the  ANR   MICA  project (agreement No  ANR-22-CE27-0026 ).
Data collection Empirical data was collected online from August to September 2022 in the United Kingdom (UK). We selected this country for two reasons: (i) firstly, the UK has the second highest number of internet users in Europe with 63. 5 million, second only to Germany with 79 million, and (ii) because the UK emerged as the most lucrative mobile app market in Europe, ranking ahead of Germany, France, Russia, and Italy in 2021  (Statista, 2022a (Statista, , 2022b)). We applied a generation criterion, following Eger et al. 's study (2021), which suggests considering a sample of respondents born in the same period and who have lived the same experiences. Specifically, we selected the Millennial generation (born between 1980 and 1994) for three main reasons: (i) in comparison with the older generations, Millennials are in closer contact with emerging technologies (such as AR) while maintaining an awareness of the traditional world.