Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of License Duration on Tangible Investments of Mobile Operators

Abstract Using data from the WCIS (World Cellular Information Service) and the Telecoms Market Matrix of Analysis Mason, we were able to build a database relating the level of investment per capita to license duration for 14 countries over a 10-year period. An empirical analysis of the data shows a positive correlation between the tangible investment per capita and the license duration (the average of all active licenses or the latest license). More precisely, we observe an increase of €1.5 in the average investment per capita per year for each additional year of license duration. We also find no significant negative impact of license duration on mobile market competition. The competition outcomes are measured using the Lerner index at the operator level. Some robustness checks are performed at the country level by using the HHI (Herfindahl-Hirschman index) and the number of active mobile operators as measures of the level of competition, and we obtain additional results indicating once more that the competition is not negatively impacted by license duration.
Working Conditions in Global Value Chains: Evidence for European Employees

This article investigates a sample of almost nine million workers from 24 European countries in 2014 to conclude how involvement in global value chains (GVCs) affects working conditions. We use employer–employee data from the Structure of Earnings Survey merged with industry-level statistics on GVCs based on the World Input-Output Database. Given the multidimensional nature of the dependent variable, we compare estimates of the Mincerian wage model with zero-inflated beta regressions focused on other aspects of working conditions (overtime work and bonus payments). Wages prove to be negatively related to involvement in GVCs: workers in the more deeply involved sectors have lower and less stable earnings, implying worse working conditions. However, they are also less likely to have to work overtime. We prove that the analysis of social implications of increasing involvement of countries in global production must compare wage effects of GVCs with other aspects of complex changes in workers’ well-being.
Corruption and Its Effects on Sustainable Economic Performance

The study examines corruption and its effects on achieving sustainable economic performance in Africa with a data set from 2002-2017. The Hausman Test for determining the appropriate model selection between Random and Fixed effects was employed with the fixed effects model of estimation chosen to be the appropriate method of estimation indicating that the degree of relationship and significant between corruption and sustainable economic performance in negative. The R² explains that 95% of variations in sustainable economic performance in the estimation of prime independent variables. Aside corruption having a negative and insignificant impact on sustainable economic performance, an increase in human development and labour resulted in a positive and significant relations on sustainable economic performance, with the rest of the explanatory variables having a poor and negative affiliation with sustainable economic performance. The above therefore follows the empirical, conventional and theoretical perspective that corruption declines growth and sustainability both domestically and globally.
Liver disease accompanied by enteropathy in common variable immunodeficiency: Common pathophysiological mechanisms

Common variable immunodeficiency (CVID) is one of the inborn errors of immunity that have the greatest clinical impact. Rates of morbidity and mortality are higher in patients with CVID who develop liver disease than in those who do not. The main liver disorder in CVID is nodular regenerative hyperplasia (NRH), the cause of which remains unclear and for which there is as yet no treatment. The etiology of liver disease in CVID is determined by analyzing the liver injury and the associated conditions. The objective of this study was to compare CVID patients with and without liver–spleen axis abnormalities in terms of clinical characteristics, as well as to analyze liver and duodenal biopsies from those with portal hypertension (PH), to elucidate the pathophysiology of liver injury. Patients were divided into three groups: Those with liver disease/PH, those with isolated splenomegaly, and those without liver–spleen axis abnormalities. Clinical and biochemical data were collected. Among 141 CVID patients, 46 (32.6%) had liver disease/PH; 27 (19.1%) had isolated splenomegaly; and 68 (48.2%) had no liver–spleen axis abnormalities. Among the liver disease/PH group, patients, even those with mild or no biochemical changes, had clinical manifestations of PH, mainly splenomegaly, thrombocytopenia, and esophageal varices. Duodenal celiac pattern was found to correlate with PH (p < 0.001). We identified NRH in the livers of all patients with PH (n = 11). Lymphocytic infiltration into the duodenal mucosa also correlated with PH. Electron microscopy of liver biopsy specimens showed varying degrees of lymphocytic infiltration and hepatocyte degeneration, which is a probable mechanism of lymphocyte-mediated cytotoxicity against hepatocytes and enterocytes. In comparison with the CVID patients without PH, those with PH were more likely to have lymphadenopathy (p < 0.001), elevated β2-microglobulin (p < 0.001), low B-lymphocyte counts (p < 0.05), and low natural killer-lymphocyte counts (p < 0.05). In CVID patients, liver disease/PH is common and regular imaging follow-up is necessary. These patients have a distinct immunological phenotype that may predispose to liver and duodenal injury from lymphocyte-mediated cytotoxicity. Further studies could elucidate the cause of this immune-mediated mechanism and its treatment options.
Analisis Kebijakan Dividen dan Kebijakan Hutang Terhadap Nilai Perusahaan Go Publik di Indonesia

The purpose of this study was to obtain empirical evidence about the effect of market growth, market risk , earnings volatilit y , profitability, capital of the company and firm size of policy dividends and policy leverage, examines the relationship between dividend policy and the policy leverage of value firms and empirically test the effect of dividend policy and the policy leverage of the firm value. The population of research are companies included in the manufacturing sectors . Sampling method was done by purposive sampling technique based on certain criteria. Retrieved 10 issuers that were taken as samples. Observation period 2006-2008. For the purposes of analysis used panel data during the observation. The data were analyzed using descriptive statistics and causality analysis of Structural Equation Modeling (SEM) operated by the software AMOS 6.0. The findings of this study , first, variables influencing the dividend policy is the volatility, equity and size. While the variable growth, beta and ROA was not affected. Second, the growth variable and the beta has no effect on the policy leverage. While the volatility variable, ROA, equity and size have an influence on policy leverage. Third, dividend policy has a significant relationship to the value of the company while the policy leverage has no significant relationship. Fourth, there interpendensi between dividend policy and the policy leverage of the firm value. Key Words : Dividend policy, Leverage and Value of the firm
The impact of authentic leadership on the commitment of employees in travel agencies in the Republic of Serbia

Authentic leadership is the highest and most powerful level of leadership. An authentic leader is expected to create an atmosphere of security, loyalty and trust among members of the organization. Only under these circumstances can an individual and group within the organization progress. An authentic leader places his interest in the last place, and their environment and employees are motivated in the right way that what they know and love, can do in the best possible way. The purpose of the paper is to analyze the characteristics of the authentic leaders and their impact on the commitment of employees. The aim of the paper is to quantify the influence of authentic leaders on the commitment of employees in travel agencies. The results show that leaders' self-awareness, internalized moral and transparency directly affect the commitment of employees to travel agencies.
Toward human-centered algorithm design

As algorithms pervade numerous facets of daily life, they are incorporated into systems for increasingly diverse purposes. These systems’ results are often interpreted differently by the designers who created them than by the lay persons who interact with them. This paper offers a proposal for human-centered algorithm design, which incorporates human and social interpretations into the design process for algorithmically based systems. It articulates three specific strategies for doing so: theoretical, participatory, and speculative. Drawing on the author’s work designing and deploying multiple related systems, the paper provides a detailed example of using a theoretical approach. It also discusses findings pertinent to participatory and speculative design approaches. The paper addresses both strengths and challenges for each strategy in helping to center the process of designing algorithmically based systems around humans.
Expanding Engagement Opportunities at a Large Land-Grant Research University: The Engagement Ecosystem Model

How does a public university with over 80,000 students across 24 campuses provide every student with an engaged scholarship experience? This article chronicles the first steps of this ambitious journey to educate a new generation of engaged scholars by building engagement ecosystems: networks of students, faculty, courses, and communities working together on compelling socially relevant projects around a common theme. By incorporating projects from an impact-focused community engagement program into a cross-section of existing classes, universities can expand engagement opportunities from a select few to the vast majority of the students. This article reviews current approaches to scale engagement opportunities before describing the principles and mechanics of the Engagement Ecosystem model. A case study of the pilot implementation of this model is presented with preliminary assessment results (n=1,165), key lessons learned, and future expansion plans.
Survival benefit after neoadjuvant or adjuvant radiotherapy for stage II–III gastroesophageal junction adenocarcinoma: A large population-based cohort study

Objective The standard treatment for stage II–III gastroesophageal junction adenocarcinoma (GEJA) remains controversial, and the role of radiotherapy (RT) in stage II–III GEJA is unclear. Herein, we aimed to evaluate the prognosis of different RT sequences and identify potential candidates to undergo neoadjuvant RT (NART) or adjuvant RT (ART). Materials and methods In total, we enrolled 3,492 patients with resectable stage II–III GEJA from the Surveillance, Epidemiology, and End Results (SEER) database, subsequently assigned to three categories: T1–2N+, T3–4N−, and T3–4N+. Survival curves were evaluated using the Kaplan–Meier method along with the log-rank test. We compared survival curves for NART, ART, and non-RT in the three categories. To further determine histological types impacting RT-associated survival, we proposed new categories by combining the tumor, node, and metastasis (TNM) stage with Lauren’s classification. Results ART afforded a significant survival benefit in patients with T1–2N+ and T3–4N+ tumors. In addition, NART conferred a survival advantage in patients with T3–4N+ and T3–4 exhibiting the intestinal type. Notably, ART and NART were both valuable in patients with T3–4N+, although no significant differences between treatment regimens were noted. Conclusions Both NART and ART can prolong the survival of patients with stage II–III GEJA. Nevertheless, the selection of NART or ART requires a concrete analysis based on the patient’s condition.
Building social capital in a divided city: the potential of events

Abstract It is widely held that social capital can help build sustainable communities, yet researchers agree that further research is needed to fully understand the social dimensions of sustainable development. In event settings, understanding how social capital is formed remains limited. This paper addresses this issue by examining the extent to which the UK City of Culture 2013 (CoC13) succeeded in building social capital in post-conflict Derry/Londonderry. The authors adopted a case study approach and mixed qualitative methods in the form of in-depth interviews and focus groups. The findings suggest that CoC13 helped to generate both bonding and bridging social capital, however, while intra community bonds were strengthened, exclusivity was also fostered. More positive were the examples of bridging capital cultivated across communities, particularly between young attendees, and between event organisers, with cooperation building trust and goodwill between volunteers. Some of the cross community relationships developed have been sustained. However, the lack of legacy planning has meant that the long-term social goals have not been met. In summary, the study suggests that in a post conflict society, events can help build social capital. However, in the absence of legacy planning, the benefits gained may soon evaporate.
The role of TGR5 as an onco-immunological biomarker in tumor staging and prognosis by encompassing the tumor microenvironment

The relationship between G protein–coupled bile acid receptor 1 (TGR5, GPBAR1) and, specifically, cancer has been studied in in vivo and in vitro experiments, but there is still a lack of pan-cancer analysis to understand the prognostic significance and functioning mechanism of TGR5 in different cancer-driving oncogenic processes. Here, we used Gene Expression Integration, Human Protein Atlas, and The Cancer Genome Atlas (TCGA) to perform a pan-cancer analysis of the role of TGR5 in all 33 tumors. In all TCGA tumors, the TGR5 gene expression has been assessed, and we found that the high TGR5 gene expression in most cancers is associated with poor prognosis of overall survival for cancers such as glioblastoma multiforme (p = 0.0048), kidney renal papillary cell carcinoma (p = 0.033), lower grade glioma (p = 0.0028), thymoma (p = 0.048), and uveal melanoma (p = 0.004), and then the lower expression of TGR5 was linked with poor prognosis in cervical squamous cell carcinoma and endocervical adenocarcinoma (p = 0.014), malignant mesothelioma (MESO) (p = 0.048), sarcoma (p = 0.018), and skin cutaneous melanoma (p = 0.0085). The TGR5 expression was linked with the immune infiltration level of the macrophage M2_TIDE and was also associated with DNA methylation in ovarian and breast cancers. The regulation of hormone secretion, Rap1 pathway, osteoclast differentiation, and bile acid pathway was involved in the functional mechanism of TGR5. Besides, gene expressions were different in different tumors detected by RT-PCR, and cell activity experiments have also found that TGR5 can increase the activity of renal cell carcinoma and reduce the activity of skin cancer and osteosarcoma cells. In this investigation, the aim was to assess the comprehensive overview of the oncogenic roles of TGR5 in all TCGA tumors using pan-analysis.
Developing an advanced collision risk model for autonomous vehicles

Aiming at improving road safety, car manufacturers and researchers are verging upon autonomous vehicles. In recent years, collision prediction methods of autonomous vehicles have begun incorporating contextual information such as information about the traffic environment and the relative motion of other traffic participants but still fail to anticipate traffic scenarios of high complexity. During the past two decades, the problem of real-time collision prediction has also been investigated by traffic engineers. In the traffic engineering approach, a collision occurrence can potentially be predicted in real-time based on available data on traffic dynamics such as the average speed and flow of vehicles on a road segment. This thesis attempts to integrate vehicle-level collision prediction approaches for autonomous vehicles with network-level collision prediction, as studied by traffic engineers. [Continues. ]
Modeling the long-run relationship between inflation and economic growth in Zimbabwe: a bi-variate cointegration (Engle-Granger Two-Step) approach

The debate on the nexus between economic growth and inflation is generally inconclusive and yet inevitably interesting. This study makes a contribution to the existing debate by empirically investigating the relationship between inflation and economic growth in the context of Zimbabwe. Using time series data spanning from 1960 up to 2017, the study employs the Engle – Granger Two Step modeling technique in order to analyze the relationship between inflation and economic growth in Zimbabwe. Our findings indicate that there is a negative and statistically significant relationship between inflation and economic growth both in the short – run and long – run. The speed of adjustment to equilibrium is approximately 62% annually when the variables wander away from their equilibrium values. Amongst other policy prescriptions, the study recommends inflation targeting policy in order to stimulate growth while maintaining price stability in Zimbabwe.
Deep Learning for Monitoring the Health Condition of RailwayCrossings

In this thesis, a method to monitor the health condition of railway crossings based on vibration data recorded by the accelerometers installed on the crossing is proposed. Due to various types of trains and other exogenous factors, responses obtained from accelerometers vary, even when the crossing has the same state condition. As a consequence, the degradation level is difficult to estimate. The method proposed in this paper uses Convolutional Neural Networks (CNN) algorithms for estimating the degradation level of the crossing and suppressing deviations caused by various inputs so that defects on the crossing can be detected in the early stage. The method is evaluated using a real-life dataset from a crossing located in Amsterdam. Different architectures are proposed and tested. With one of the architectures (ConvNet), the degradation level of the crossing can be estimated with minimum deviations (2.03 \% MSE). Other architectures performed in the range of 3.49 to 3.05 \% MSE. With the proposed methodology, defects on the crossing can be detected two months before the defects are spotted during the visual inspection.
Prosocial Behaviour in Interethnic Encounters: Evidence from a Field Experiment with High- and Low-Status Immigrants

Recent waves of immigration have changed the demographic face of European societies and fueled considerable debate over the consequences of ethnic diversity for social cohesion. One prominent argument in this debate holds that individuals are less willing to extend trust and solidarity across ethnic lines, leading to lower social capital in multiethnic communities. We present a direct test of this proposition in a field experiment involving native-immigrant interactions in Zurich's Central Train Station. Our intervention consists of approaching commuters with a small request for assistance (borrowing a mobile phone), which we take as a measure of prosociality. We further differentiate between reactions towards natives as well as both high- and low-status immigrant groups. Compared to native-native interactions, we find lower solidarity in native-immigrant encounters, especially in cases involving stereotypically low-status immigrants. In exploratory analyses, we further show that discrimination only obtains in 'low cost' situations where commuters could easily justify not helping (e.g. by claiming not to carry a phone). Overall our results shed light on key theoretical mechanisms underlying patterns of solidarity in contemporary multiethnic societies.
Government coalitions and Eurosceptic voting in the 2014 European Parliament elections

The 2014 European elections were characterized in many countries by growing support for Eurosceptic parties. This growth was not uniform and not clearly associated with the economic performance of these member states. In this article, we investigate the role played in the 2014 European Parliament elections by a country-specific factor – the composition of government coalitions – different from economic performance. In particular, we argue that in those countries where moderately Eurosceptic parties were more involved in the government, citizens with negative attitudes toward the European Union were more likely to vote for highly Eurosceptic parties. This was especially the case when the governments also included strongly pro-EU parties. The empirical analysis, which is based upon the 2014 European Election Voter Study, the Chapel Hill Expert Survey, and the Parliaments and Governments database, confirms our hypotheses.
Exploring perceived risk in building successful drone food delivery services

Purpose This paper aims to explore the types of perceived risks involved with using drone food delivery services. Furthermore, this study investigates the relationship between perceived risk and image of drone food delivery services. Lastly, this study examines the effect of image of drone food delivery services on desire, intentions to use and willingness to pay more. Design/methodology/approach This study collected data from 331 respondents in Korea. Before the start of the survey, the respondents were given a video, which made it easier for them to understand drone food delivery services. Findings The three types of perceived risks (i.e. time risk, performance risk and psychological risk) have a negative influence on image of drone food delivery services and, thus, aids in increasing desire, intentions to use and willingness to pay more. Originality/value The concept of perceived risk was applied to the context of drone food delivery services in this study in combination with other understudied concepts, image, desire, intentions to use and willingness to pay more. This study is one of the first studies that applied those significant concepts to the context of drone food delivery services, even though there are a large number of papers in the technology field. Thus, the findings of this study will be important to foodservice companies when building successful drone food delivery services.