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Background: Recent trends of hepatocellular carcinoma (HCC) mortality and outcome remain unknown in the United States. We investigated the recent trends of primary liver cancer (excluding intrahepatic cholangiocarcinoma) mortality and HCC stage, treatment, and overall survival (OS) in the United States.Methods: The National Center for Health Statistics Database was analyzed to investigate the trend of primary liver cancer mortality. We analyzed the Surveillance, Epidemiology, and End Results 18 Database to assess the temporal trend of tumor size, stage, treatment, and OS of HCC. We investigated the association between HCC diagnosis year and OS using Cox regression analysis. All statistical tests were 2-sided.Results: During 2000-2018, liver cancer mortality rates increased until 2013, plateaued during 2013-2016 (annual percent change = 0.1%/y, 95% confidence interval [CI] = -2.1%/y to 2.4%/y, P = .92), and started to decline during 2016-2018 (annual percent change = -1.5%/y, 95% CI = -3.2%/y to 0.2%/y, P = .08). However, mortality continues to increase in American Indian and Alaska Native, individuals aged 65 years or older, and in 33 states. There was a 0.61% (95% CI = 0.53% to 0.69%, P < .001) increase in localized stage HCC and a 0.86-mm (95% CI = -1.10 to -0.62 mm, P < .001) decrease in median tumor size per year. The 1-year OS rate increased from 36.3% (95% CI = 34.3% to 38.3%) to 58.1% (95% CI = 56.9% to 59.4%) during 2000-2015, and the 5-year OS rate almost doubled from 11.7% (95% CI = 10.4% to 13.1%) to 21.3% (95% CI = 20.2% to 22.4%) during 2000-2011. Diagnosis year (per year) (adjusted hazard ratio = 0.96, 95% CI = 0.96 to 0.97) was independently associated with OS in multivariable analysis.Conclusions: Primary liver cancer mortality rates have started to decline in the United States with demographic and state-level variation. With an increasing detection of localized HCC, the OS of HCC has improved over the past decades. [ABSTRACT FROM AUTHOR]

Inhalation injury is associated with high inpatient mortality, but the impact of inhalation injury after discharge and on non-mortality outcomes is poorly characterized. To address this gap, we evaluated the effect of inhalation injury on postdischarge morbidity, mortality, and hospital readmissions among patients who sustained burn injury, as well as on in-hospital outcomes for context. This was a retrospective cohort study of patients with cutaneous fire/flame burns admitted to a burn center intensive care unit from January 1, 2009 to December 31, 2015, with or without inhalation injury. Records were linked to statewide hospital admission and vital statistics databases to assess postdischarge outcomes. Mixed-effects Poisson regression was used to assess mortality, complications, and readmissions. The overall cohort included 830 patients with cutaneous burns; of these, 201 patients had inhalation injury. In-hospital mortality was 31% among inhalation injury patients vs 6% in patients without inhalation injury (adjusted OR 2.35; 95% CI 1.66-3.31). Inhalation injury was also associated with an increased risk of in-hospital pneumonia and tracheostomy (P < .05 for all). Inhalation injury was not associated with greater postdischarge mortality, all-cause readmission, readmission for pulmonary diagnosis, or readmission requiring intubation. Among the subset of patients with bronchoscopy-confirmed inhalation injury (n = 124; 62% of inhalation injuries), a higher injury grade was not associated with greater inpatient or postdischarge mortality. Inhalation injury was associated with increased early morbidity and mortality, but did not contribute to postdischarge mortality or readmission. These findings have implications for shared decision making with patients and families and for estimating healthcare utilization after initial hospitalization. [ABSTRACT FROM AUTHOR]

The paper offers a method for developing a universal system of automated design of an optimal structure of autonomous distributed hybrid energy complexes (ADHEC) and the means for regulation of the energy balance therein, i.e. control of the power flows circulating in the mentioned system. ADHEC will not only help unload the existing power system, but can also be used to produce "green" hydrogen. In general, the design of the optimal structure of ADHEC includes the following stages (subtasks): data research and creation of a statistical database of electric loads of consumers, the wind speed in the region under consideration, the hydroelectric potential of mountain and lowland rivers, and the solar energy, as well as the research and development of a database of converters of wind and water energy into electrical energy. The paper focused on the task of designing the optimal structure of the distributed hybrid generation system that will ensure the desired level of power generation at a minimal cost and with necessary functional reliability. [ABSTRACT FROM AUTHOR]

National, regional and global CO 2 emissions and removals from forests were estimated for the period 1990–2020 using as input the country reports of the Global Forest Resources Assessment 2020. The new Food and Agriculture Organization of the United Nations (FAO) estimates, based on a simple carbon stock change approach, update published information on net emissions and removals from forests in relation to (a) net forest conversion and (b) forest land. Results show a significant reduction in global emissions from net forest conversion over the study period, from a mean of 4.3 in 1991–2000 to 2.9 Gt CO 2 yr -1 in 2016–2020. At the same time, forest land was a significant carbon sink globally but decreased in strength over the study period, from -3.5 to -2.6 Gt CO 2 yr -1. Combining net forest conversion with forest land, our estimates indicated that globally forests were a small net source of CO 2 to the atmosphere on average during 1990–2020, with mean net emissions of 0.4 Gt CO 2 yr -1. The exception was the brief period 2011–2015, when forest land removals counterbalanced emissions from net forest conversion, resulting in a global net sink of -0.7 Gt CO 2 yr -1. Importantly, the new estimates allow for the first time in the literature the characterization of forest emissions and removals for the decade just concluded, 2011–2020, showing that in this period the net contribution of forests to the atmosphere was very small, i.e., a sink of less than -0.2 Gt CO 2 yr -1 – an estimate not yet reported in the literature. This near-zero balance was nonetheless the result of large global fluxes of opposite sign, namely net forest conversion emissions of 3.1 Gt CO 2 yr -1 counterbalanced by net removals on forest land of -3.3 Gt CO 2 yr -1. Finally, we compared our estimates with data independently reported by countries to the United Nations Framework on Climate Change, indicating close agreement between FAO and country emissions and removals estimates. Data from this study are openly available via the Zenodo portal (Tubiello, 2020), with DOI 10.5281/zenodo.3941973, as well as in the FAOSTAT (Food and Agriculture Organization Corporate Statistical Database) emissions database (FAO, 2021a). [ABSTRACT FROM AUTHOR]

Nowadays, marketing in the digital environment is very important for every company. The reason is that internet use has more than doubled in the last decade, and this shift has significantly affected the way customers buy products and communicate with companies. Digital marketing is like any other type of marketing - it is a way to connect with current customers and influence potential customers. It is very important, especially when there are already many products and services on the market with really high competition. The main difference between online and traditional marketing is that the company can better connect with customers and influence them online. Based on the above mentioned, the paper's main aim is to analyze the application of digital marketing in the selected Slovak brand and its perception by Slovak consumers, propose recommendations for a more effective application of digital marketing in this company. It includes providing the theoretical background and analysis of digital marketing from the viewpoint of Slovak and foreign authors. The important secondary data source was scientific research, annual company reports, statistical databases, and published professional publications. To find out the perception of digital marketing from the perspective of Slovak consumers, a questionnaire survey was conducted. The questionnaire survey aimed to find out the opinions, attitudes, and satisfaction of consumers with the selected Slovak brand. To determine the sample size, the base file representing a number of people older than 18 was obtained from the demographic statistics of the Statistical Office of the Slovak Republic. General scientific methods (i.e., excerption, description, comparative analysis, deduction, and induction) were used for data processing and mathematical and statistical methods to evaluate data from the survey using IBM SPSS Statistics software. To achieve the main goal of the paper, based on the theoretical background and survey results, research hypotheses were formulated and subsequently verified. Finally, based on the analysis and results of the questionnaire survey, benefits of digital marketing are highlighted, such as gaining a competitive advantage, increasing customer loyalty, and overall increasing brand awareness. [ABSTRACT FROM AUTHOR]

Background: Acetaminophen (Paracetamol) is one of the most used and prescribed anti-inflammatory and analgesic drugs worldwide. It has become one of the main drugs related to accidental and intentional overdoses in many countries, including Chile. The objective of this work was to characterize acetaminophen poisonings occurred in Chile between the years 2001 and 2020. Methods: A retrospective study of acetaminophen poisonings among patients who were hospitalized in Chilean public and private hospitals was carried out between the years 2001 and 2020. Data was obtained from the Medical Outcome Statistical Report database. Inclusion criteria were cases of patients who were admitted into either public or private healthcare settings with diagnosis of acetaminophen poisoning according to the WHO ICD-10. Statistical analyses were run to establish associations between variables selected in the study. Results: A total of 2,929 cases were included in the study. 77 % of the cases corresponded to female patients (p<0.05). Patients' age range went from 0 to 81 years old. Adolescents and young adults resulted more involved in reported cases during the 2001-2020 period (p<0.001). During the first period of the study, accidental poisonings were more commonly reported, however in the recent years intentional cases increased their occurrence, especially among female patients (p<0.05). A multivariate logistic regression model considered as statistically significant (p<0.05) the interaction between the variables age, gender and year of the event. Conclusion: The present study identified a large number of acetaminophen poisonings reported in Chile during the 2001-2020 period. Cases were characterized including patients' gender, age, and poisoning intent. Health authorities should consider these findings as an opportunity to improve public health associated with the use and misuse of over-the-counter drugs, including acetaminophen. [ABSTRACT FROM AUTHOR]

The main aim of this paper is to demonstrate the dynamic interaction between urbanization and transportation. This paper provides an empirical evaluation of dynamic connectedness between urbanization and air transportation mobility. The empirical part uses annual time-series data for Turkey, Germany, France, Italy, and United Kingdom according to data availability for the period 1970-2019. The variable of interest includes the share of urban population as urbanization, and the mobility of freight and passenger with air transportation. Urbanization and transportation measures have been obtained from World Bank statistical database. Dynamic connectedness approach provides various spillover parameters such as, from one to all, from all to one, net, pairwise, and total connectedness indexes, which might bring different perspective to the determination of the linkage between air transportation mobility and urbanization. Our findings show that air transportation is related to urbanization in terms of freight and passengers. According to the dynamic nature of transportation with urbanization and the spreading results, while transportation is receiver, urbanization is in a transmitter position. The fact that there is a transfer from urbanization to transportation is especially important in terms of the effectiveness of transportation policies in urban areas. [ABSTRACT FROM AUTHOR]

Copyright of Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales is the property of Academia Colombiana de Ciencias Exactas, Fisicas y Naturales and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction: Achieving sustainable economic growth requires investment in infrastructure to increase production capacity. Such investments include not only physical investments, but also human investments, education, and health. In this study, we aim to analyze the effect of labor force education in the health sector on Iran's economic growth. Methods: This is an experimentally analytical-descriptive study conducted using the Autoregressive Distributed Lag Model (ARDL) and annual data for Iran from 1991to 2019. In addition to analyzing the effect of labor force education in the health sector on economic growth, the effect of public education, higher education in the Ministry of Science, physical investment, openness, and export were also examined. Data were extracted by documentary method from the database of the Statistics Center of Iran, and estimates were made using Eviews 10 software. Results: Findings of this study indicated the positive effect of independent variables on Iran's economic growth, in which the coefficients of public education, labor force education in the health sector, labor force education in the Ministry of Science, physical investment, openness, and exports were equal to 0.0125, 0.621, 0.8752, 0.449, 0.218, and 0.2429, respectively. Conclusion: Results of the model estimation indicated the positive impact of public education, labor force education in the health sector, and labor force education in the Ministry of Science. Based on the results of the present study, the adoption of appropriate policies by policymakers in the field of educational investment at the public and higher levels, especially in the health sector, has an effective role in increasing Iran's economic growth. [ABSTRACT FROM AUTHOR]

The article focuses on the functions, types, transfer rules and principles of granting of subsidies and specific grants from the state budget to local government units in Poland, however, it also contains international references. The author indicates the key issue related to the use of transfer revenues in financing local government units. Special attention is given to the analysis and assessment of importance and the change in the share of transfer revenues for municipalities, cities with powiat status, powiats and voivodeships for creating their budgetary revenues in 2010-2020. The research was based on data obtained from the database of Statistics Poland. [ABSTRACT FROM AUTHOR]

There has been widespread concern among policymakers that intensive immigration can drive anti-immigrant attitudes, which may further develop into ethnic strife. In order to systematically monitor immigration-related conflict in society, the authors have constructed a theoretical composite conflict risk index for measuring immigration-related conflict risk at a subnational level. The index is called MICRI, short for immigration-related conflict risk index. The index offers new input to the quantitative conflict risk modelling by including subjective indicators, which usually are missing from risk indices, along with objective indicators. The reason behind that is the growing understanding between scholars that groups' perceived grievances play an important role in whether a conflict arises or not. Therefore, capturing the subjective "feelings" of a group allows us to go closer to the source of conflict, and help to generate a better out-come in risk predictions. Thus, MICRI consists of 17 indicators, out of which thirteen (13) are subjective and four (4) are objective indicators. The data was sourced from the European Social Survey and national statistical database. These sources met the criteria set for data: the data includes information about all the main risk dimensions, including the subjective perceptions of persons; and the data is regularly updated, reliable, provides regional level information and is easily accessible for international use. The article presents the methodology and data behind the indicators, evaluates the index's internal consistency using the quantitative regional level data of 75 Estonian municipalities. In constructing the values of MICRI, we followed four consecutive steps: (1) computing the values of the indicators for each municipality; (2) normalising; (3) weighting; and (4) aggregating of the indicators. All indicator were compiled in ten different risk dimensions - identity, distrust, value difference, perceived threat, perceived inequality, dissatisfaction, poor communication, low norm obedience, availability of resources, and regional immigration level - which formed a cumulative index value. The validity of the index was controlled with data of (75) Estonian municipalities from the period 2014 - 2018. The results of initial testing show that the internal consistency of MICRI is good; c-alpha = 0.698, which indicates a good potential for the index's performance. The future research will focus on external validation of the index and will expand its use internationally. [ABSTRACT FROM AUTHOR]

Copyright of Dilemas Contemporáneos: Educación, Política y Valores is the property of Dilemas Contemporaneos: Educacion, Politica y Valores and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Roads & Bridges / Drogi i Mosty is the property of Road & Bridge Research Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Mexicana de Ciencias Agrícolas is the property of Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The aim of this interdisciplinary study is to assess the heat risk for Bratislava. The following layers were created to compute the risk index: the hazard layer of air temperature, a mitigation layer of tree vegetation, an exposure layer of population and a vulnerability layer of individuals over 65 years of age. The MUKLIMO_3 model was used to evaluate the field of mean surface air temperature at 9 PM during selected days of the summer heat wave in August 2018. The tree vegetation layer, in the form of percentage per grid cell, was derived from Sentinel-2 satellite data. Population density data are based on mobile positioning data, and elderly population data are based on a gridded database from the statistical census. Input layers were unified into a resolution of 500 × 500 m, and the heat risk index was calculated by summation of the weighted input layers. The results reflect the variability of the population and the elderly population within the city, as well as the variability of the temperature field, which is caused by the joint effect of an urban heat island and topography. The highest values of risk index occur within the broader city centre, with specific hot spots at several places. [ABSTRACT FROM AUTHOR]

Introduction: As compared to younger adults, older people have a greater risk of domestic accidents, such as burns, and their prognosis is worsened by a diminished physiological ability to face a thermal trauma. The in-hospital mortality is adversely affected by old age and burn size, whereas less is known about the long-term-survival in elderly patients who survive a burn injury. The aim of this study was to investigate if elderly burn patients after discharge from a Swedish National Burn Centre have a shorter remaining life compared to the national population, by using calculated remaining Life Expectancy (rLE).Methods: In this retrospective study we included all patients who were admitted for burns to the Linköping Burn Centre during 1993-2016 and who were 60 years or older and alive, at the time of discharge. The control group was extracted from Statistics Sweden, the national statistics database, and consisted of all individuals from the Swedish population matched for each patient in the study group, by sex and age at the year of discharge. The proportion who died before reaching the rLE was compared between the study population and the control group by calculating risk ratio.Results: The study group consisted of 111 former patients and 77 of them (69%) died before reaching the rLE, with mean 4.7 years of life lost (YLL), which was 33% more than that (52%) of the control group (RR 1.33, 95% CI 1.18-1.51). Burn related factors, such as TBSA % or FTB % were not found to account for this effect.Conclusion: We found that the long-time survival of elderly patients after burns is shorter than that of a national control, the magnitude of which is quantitatively important. The current study does not support that burn related factors account for this effect and the reason should therefore be sought in other factors, such as e.g., co-morbidity or psychosocial issues. [ABSTRACT FROM AUTHOR]

Background: A minimum volume threshold of at least six procedures per annum per surgeon has been set in UK and European guidelines for adrenal surgery. The aim of this study was to investigate outcomes for adrenal surgery in England relative to annual surgeon and hospital trust volume. Methods: Data were extracted from the Hospital Episodes Statistics database for England. A 6-year period (January 2013 to December 2018 inclusive) for all adult admissions for unilateral adrenal surgery was used. The primary outcome measure was an emergency readmission within 30 days of discharge following surgery. Procedures were categorized as open or minimally invasive surgery for analysis. Multilevel modelling was used to adjust for hierarchy and potential confounders. Results: Data for 4189 adrenalectomies were identified. Only one third of surgeons (who operated on just over a half of all patients) performed at least six procedures in the year prior to the index procedure. For open surgery, emergency readmission rates fell significantly from 15.2 to 6.4 per cent for surgeons and from 13.2 to 6.1 per cent for trusts between the lowest- and highest-volume categories. Significant, but less dramatic falls were also seen for minimally invasive surgery. Conclusion: A volume-outcome effect was identified for adrenal surgery in England. Minimum volume thresholds should be set, although these may need to be more ambitious than the current threshold if outcomes are to be optimized. [ABSTRACT FROM AUTHOR]

China has been the largest producer of fish in the world since 1989 and became the largest consumer of fish and fishery products recently. With increase in China's demand and preference for shellfishes and value-added fish products, India sees China as the second largest export destination after the US. This study analyzed the status, export performance and competitiveness of Indian fish export to China based on data (2000-2018) from trademap.org and UNCOMTRADE statistical database. Compound Growth Rate (CGR) revealed that the seafood export grew at an annual rate of 9.68% in terms of value with instability of 0.24 from 2000-2018. The Simpson Index of Diversity (SID) to the China revealed that the index values remained highest all throughout the years as compared to USA and the rest of the world. The Unit Value Realization (UVR) was found highest in live fishes ($34.92/kg) followed by fresh chilled fish ($7.19/kg), crustaceans ($5.97/kg) and others for 2018. Commodity wise RCA revealed that it is highly positive for frozen fillet meat mince (10.22) followed by crustaceans (8.0) and frozen fish (5.05), indicating that India has a strong comparative advantage in exporting these commodities to China. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Contabilidade & Controladoria is the property of Revista de Contabilidade & Controladoria RC & C and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background A comprehensive evaluation of progress in cancer survival for all cancer types combined has not previously been conducted for Canada. The cancer survival index (CSI) is superior to age standardization in measuring such progress. Data and methods Data are from the population-based Canadian Cancer Registry, record-linked to the Canadian Vital Statistics Death database. CSI estimates for both sexes combined were calculated as the weighted sum of the sex- and cancer-specific age-standardized net survival estimates. Sex-specific CSI estimates were calculated separately using sex-specific cancer type weights. Results From the 1992-to-1994 period to the 2015-to-2017 period, the five-year CSI increased 8.6 percentage points to 63.7%. It increased by 8.9 percentage points to 61.8% among males, and by 8.2 percentage points to 65.8% among females. The contribution of a cancer and sex combination to change in the CSI over time is a function of its assigned weight and changes in its age-standardized net survival. Female breast was the most influential cancer and sex combination, contributing 10.1% to the overall increase, followed by prostate (8.2%) and female lung (7.3%). The increase in the index since the 2005-to-2007 period was most impacted by lung cancer among both females (11.1%) and males (9.4%). While prostate cancer survival increased over the entire study period, it has recently decreased, resulting in a counterproductive 8.1% contribution since the 2005-to-2007 period. Interpretation Steady progress has been made in overall cancer survival in Canada since the early 1990s. Female breast cancer has contributed the most to this progress overall, but more recently female lung cancer has been the most influential. [ABSTRACT FROM AUTHOR]

Objectives: Cooking oil fumes (COFs) contain many carcinogens. We investigated the association between COFs and incidence risk of colorectal cancer and female breast in chefs. Methods: We identified Chinese food chefs and non-Chinese food chefs from Taiwan's national database of certified chefs in 1984–2007. In total, 379,275 overall and 259,450 females had not been diagnosed as having any cancer before chef certification. We followed these chefs in Taiwan's Cancer Registry Database (1979–2010) and Taiwan's National Death Statistics Database (1985–2011) for newly diagnosed colorectal cancer and female breast cancer. Results: A total of 4,218,135 and 2,873,515 person-years were included in our analysis of colorectal cancer and female breast cancer incidence, respectively. Compared to non-Chinese food chefs, the Chinese food chefs had an adjusted IRR for colorectal cancer of 1.65 (95% CI 1.17–2.33). The risk of colorectal cancer was even higher among female Chinese food chefs certified for more than 5 years (adjusted incident rate ratio (IRR) = 2.39, 95% CI 1.38–4.12). For female breast cancer, the risk was also significant (adjusted IRR = 1.40, 95% CI 1.10–1.78) and the risks were even higher in female Chinese food chefs certified for more than 5 years (adjusted IRR = 1.74, 95% CI 1.37–2.22). Conclusions: This study found that Chinese food chefs had an increased risk of colorectal cancer and female breast cancer, particularly female chefs who had worked for more than 5 years. Future human and animal studies are necessary to re-confirm these findings. [ABSTRACT FROM AUTHOR]

Privacy preserving data mining has become the focus of attention of government statistical agencies and database security research community who are concerned with preventing privacy disclosure during data mining. Repositories of large datasets include sensitive rules that need to be concealed from unauthorized access. Hence, association rule hiding emerged as one of the powerful techniques for hiding sensitive knowledge that exists in data before it is published. In this paper, we present a constraint-based optimization approach for hiding a set of sensitive association rules, using a well-structured integer linear program formulation. The proposed approach reduces the database sanitization problem to an instance of the integer linear programming problem. The solution of the integer linear program determines the transactions that need to be sanitized in order to conceal the sensitive rules while minimizing the impact of sanitization on the non-sensitive rules. We also present a heuristic sanitization algorithm that performs hiding by reducing the support or the confidence of the sensitive rules. The results of the experimental evaluation of the proposed approach on real-life datasets indicate the promising performance of the approach in terms of side effects on the original database. [ABSTRACT FROM AUTHOR]

This study provides new insights into the internal dynamics and international integration of non-rentier sectors in Russia. Our approach consists in analysing the evolution of two non-rentier industries (agri-food and software), focusing on three groups of variables characterising their institutional environment, namely the macroeconomic context, public policies, and private strategies pursued by the main players. Based on the analysis of quantitative and qualitative data coming from field surveys and statistical databases, we introduce distinct forms of international integration that shed light on the players' strategies in adapting to changes in macroeconomic variables. The following paradox emerged: although the macroeconomic constraints stemming from rent should have hindered the development of non-rentier sectors in a scheme characteristic of the classical 'Dutch disease' framework, we have observed that these two industries have been able to continue to develop, each following its own path. Our analysis shows that the mix of constraints and opportunities faced by these industries has shaped their partial autonomy vis-à-vis the rent-based 'accumulation regime' characteristic of the country. [ABSTRACT FROM AUTHOR]

Although women's participation in tertiary education and the labour force has expanded over the past decades, women continue to be underrepresented in technical and managerial occupations. We analyse if gender inequalities also manifest themselves in online populations of professionals by leveraging audience estimates from LinkedIn's advertisement platform to explore gender gaps among LinkedIn users across countries, ages, industries and seniorities. We further validate LinkedIn gender gaps against ground truth professional gender gap indicators derived from the International Labour Organization's (ILO) Statistical Database, and examine the feasibility and biases of predicting global professional gender gap indicators using gender gaps computed from LinkedIn's online population. We find that women are significantly underrepresented relative to men on LinkedIn in countries in Africa, the Middle East and South Asia, among older individuals, in Science, Technology, Engineering and Mathematics (STEM) fields and higher-level managerial positions. Furthermore, a simple, aggregate indicator of the female-to-male ratio of LinkedIn users, which we term the LinkedIn Gender Gap Index (GGI), shows strong positive correlations with ILO ground truth professional gender gaps. A parsimonious regression model using the LinkedIn GGI to predict ILO professional gender gaps enables us to expand country coverage of different ILO indicators, albeit with better performance for general professional gender gaps than managerial gender gaps. Nevertheless, predictions generated using the LinkedIn population show some distinctive biases. Notably, we find that in countries where there is greater gender inequality in internet access, LinkedIn data predict greater gender equality than the ground truth, indicating an overrepresentation of high status women online in these settings. Our work contributes to a growing literature seeking to harness the 'data revolution' for global sustainable development by evaluating the potential of a novel data source for filling gender data gaps and monitoring key indicators linked to women's economic empowerment. [ABSTRACT FROM AUTHOR]

At the beginning of any crisis, including pandemics, it is very important to provide timely information to expert headquarters at the local and global level so that they can make daily decisions about measures and behavior of the population. Support for this can be a combination of analytical and statistical data together with the locations from which these data were collected. Part of the cartographic visualization deals precisely with the ways of designing and visual presentation based on which it would be clear to the user where the biggest hotspots and the biggest changes are compared to the previous period. The paper describes the origin and proposal of the original dashboard for monitoring the COVID pandemic in Croatia. The dashboard contains and combines thematic data and displays it with the layout and design carefully determined. The goal is for the data to be implemented as soon as it is available to the public. Similar works available on the Internet are also shown. The entire course of making the dashboard for the COVID pandemic and dissemination data is described, as well as data sources, software, problems encountered and solutions. [ABSTRACT FROM AUTHOR]

Seismic reflection data (normal incidence and wide angle) are unique assets for solid Earth sciences as they provide critical information about the physical properties and structure of the lithosphere as well as about the shallow subsurface for exploration purposes. The resolution of these seismic data is highly appreciated; however they are logistically complex and expensive to acquire, and their geographical coverage is limited. Therefore, it is essential to make the most of the data that have already been acquired. The collation and dissemination of seismic open-access data are then key to promote accurate and innovative research and to enhance new interpretations of legacy data. This work presents the Seismic DAta REpository (SeisDARE), which is, to our knowledge, one of the first comprehensive open-access online databases that stores seismic data registered with a permanent identifier (DOI). The datasets included here are openly accessible online and guarantee the FAIR (findable, accessible, interoperable, reusable) principles of data management, granting the inclusion of each dataset in a statistics referencing database so its impact can be measured. SeisDARE includes seismic data acquired in the last 4 decades in the Iberian Peninsula and Morocco. These areas have attracted the attention of international researchers in the fields of geology and geophysics due to the exceptional outcrops of the Variscan and Alpine orogens and wide foreland basins, the crustal structure of the offshore margins that resulted from a complex plate kinematic evolution, and the vast quantities of natural resources contained within. This database has been built thanks to a network of national and international institutions, promoting a multidisciplinary research and is open for international data exchange and collaborations. As part of this international collaboration, and as a model for inclusion of other global seismic datasets, SeisDARE also hosts seismic data acquired in Hardeman County, Texas (USA), within the COCORP project (Consortium for Continental Reflection Profiling). SeisDARE aims to make easily accessible old and recently acquired seismic data and to establish a framework for future seismic data management plans. SeisDARE is freely available at https://digital.csic.es/handle/10261/101879 (a detailed list of the datasets can be found in Table 1), bringing endless research and teaching opportunities to the scientific, industrial, and educational communities. [ABSTRACT FROM AUTHOR]

The relevance of the subject matter is conditioned by the fact that the innovative development of the Republic of Kazakhstan, which is based on the introduction of technological advances, the use of computer and resource-saving technologies, industrial and innovative achievements, is currently of great importance for the country’s economy. The paper aims to prepare recommendations for the development of public-private partnerships (PPP) in the conditions of innovative development of the Republic of Kazakhstan. The leading methods of researching the issues of the paper include the analysis of theoretical sources, analysis of statistics, and comparison. The analysis of statistical indicators plays a crucial role in the study since data on the innovation level on the development of PPP can be directly obtained from statistical databases. The research results showed that for the development of projects that are carried out on an innovative basis, cooperation between the state and business is necessary. Certain risks and consequences are inherent in innovative projects. Therefore, such projects require private partners who agree to PPP even under unstable political, economic and social conditions and also have corresponding production and innovative potential. Given the improvement of the regulatory framework at the national and regional levels, increasing the attractiveness of such cooperation, and providing comprehensive support for such projects, a partnership between the state and business in the innovation sector will develop. The scientific novelty of the research is determined by the fact that the method of analysis of statistical indicators was used for the first time to analyse the concept of PPP in the context of the innovative development of the Republic of Kazakhstan. The observations of the paper have practical value for the development of PPP in the conditions of innovative development of the Republic of Kazakhstan. [ABSTRACT FROM AUTHOR]

This article tests different theories, as proposed by the author (Abadia 2016) and by reputed researchers such as Porter (1985), Christensen (1997) and Tellis (2006), on why some technology-related startups are successful in fast-changing environments, while well-established firms are not. To this end, the author conducted (i) four different database statistical analyses -- data aggregation, segmentation, time comparison, and linear regression/correlation -- on the financial statements of a large sample population of technology-related startups, in two countries, the United States of America (USA) and Spain, and (ii) nine cases studies of particularly successful technology-related startups in four countries, the USA, Spain, China and Japan. The combination of the statistical and case studies concludes that (1) visionary leadership is a necessary condition for 'disruptive success', (2) disruptive or, at least, revolutionary innovation is a necessary condition for disruptive success, (3) location in specialized clusters is a critical factor in determining the rate and level of success of technology-related firms. On the other hand, the study concluded that entrepreneurs and executives should seek and exploit these three competitive elements in the stages of introduction and growth. However, in the case of the maturity stage, the emphasis should be directed towards other elements that are less elitist and volatile. [ABSTRACT FROM AUTHOR]

Although the food regime concept has become an important approach for addressing the global food trade, most of its applications have utilized qualitative methods. This article applies a quantitative social network analysis (SNA) and a more-than-qualitative relational approach, drawing from the geography literature to explore regional food regimes in Asia in the World Trade Organization (WTO) era. Employing data from the Food and Agriculture Organization Corporate Statistical Database (FAOSTAT) and the Design of Trade Agreements (DESTA) project database, this paper's analysis of the governance of Asian regional vegetable trade networks reveals the multiplicity inherent in food regimes under the WTO. In this context, the topologies of food regimes—including degree centrality, betweenness centrality, and closeness centrality—reveal the emergence of a multi-polar food system in Asia. [ABSTRACT FROM AUTHOR]

For years, the university admission system has been criticized for its strong link with social and cultural characteristics of the applicants, reproducing the segmentation that is evident in the school environment. To correct these biases, in 2013 the Grade Ranking was incorporated as a weighting factor, valuing components of school career and educational context. The objective of this article is to describe the impacts that the Grade Ranking has had on the 2018 admission process, in terms of equal opportunities and group inclusion. With a quantitative methodology, this article uses official databases to perform a statistical analysis of the 2018 admission results, constructing indexes and outlining trends. The results highlight the positive impact that the Ranking has had on weighted scores and selection rates, in addition to the compensation it makes to historically relegated groups by valuing the effort deployed in adverse contexts. The conclusions argue that, although the Ranking is an efficient mechanism to promote greater equity in university admission processes, it is not capable of reversing the inequality and structural segmentation of the Chilean educational system. [ABSTRACT FROM AUTHOR]

Purpose: To investigate safety at truck drivers' work outside the cab with a special focus on work environment and equipment maintenance to prevent occupational accidents. Design/methodology/approach: Two statistical databases on Finnish occupational accidents for truck drivers are analysed. Firstly, the national accident statistics database is examined to understand the broad context, and secondly a database on fatal accidents is analysed to better understand the root causes of the accidents and their relationship to human factors in maintenance. Based on the root cause analysis, four accident scenarios are created, and risk management measures are prioritized by occupational safety and health specialists (n = 7). Findings: The study shows that there are a variety of accidents in truck drivers' work. Most of the accidents occur outside the cab while performing tasks other than driving. Further, in-depth analysis of the fatal accidents increases understanding of the possibilities of different risk management and maintenance actions in preventing such accidents. Research limitations/implications: Databases contain different limitations concerning the data. Practical implications: Truck drivers' work environments are wide in nature. Efficient safety management requires broad participation from different stakeholders. In addition to safe work activities, work environment and equipment maintenance is highlighted as a key component for safe and fluent delivery transportation. Social implications: Road transportation forms a backbone of modern society. Accidents affect the efficiency of transportation and cause manifold costs reaching all the way to the societal level. Originality/value: This study adds an important dimension of delivery transportation to a current scientific discussion on human factors and maintenance. [ABSTRACT FROM AUTHOR]

The article presents changes that took place in the textile and apparel (T&A) industry in Poland in the years 2004–2020. To describe the changes, we adopted the supply chain management perspective, which allowed for a global view of the changes taking place. We discuss the basic characteristics, such as the size and structure of the industry, innovation, production value, and the use of information and communications technology (ICT). In the research, we used the databases of the Central Statistical Office (GUS) on the sold production of the T&A industry, as well as imports and exports. Our research shows that, at the level of basic characteristics, the industry is close to the European model. However, it is characterized by a smaller share of small companies in the structure of enterprises. The research showed an upward trend in the production of sold textiles and, to a lesser extent, apparel. At the same time, the operation of the Polish T&A industry is influenced by the import of finished products and raw materials from China, Germany, Bangladesh, and Turkey. The export is directed to the German, Czech, Romanian, and Ukrainian markets. The article provides an overview of the development trends in the Polish T&A industry in the broad context of international conditions. [ABSTRACT FROM AUTHOR]

Standing poloidal Alfven waves, radial oscillations with ultralow frequency of 5–20 mHz, are excited by wave‐particle interaction in the magnetosphere. It has been a question over several decades why poloidal oscillations often persist and are not quickly converted into toroidal waves even when there is no corresponding particle source. By adopting magnetohydrodynamic simulations in the dipole model, we first show that long‐lasting poloidal waves are available if the local Alfven frequency gradient becomes negligible. Assuming that initial poloidal modes are excited by driving particles, we investigate two loss mechanisms into either toroidal modes or compressional modes. Both mechanisms enable us to derive two necessary conditions for the existence of persistent poloidal modes. It is found that these conditions are very consistent with statistical feature of observations. Our results will be useful in identifying the persistent poloidal mode in terms of the corresponding particle energy and wavenumbers. Plain Language Summary: Ultralow frequency oscillations in the radial direction are often called poloidal Alfven waves. In a theoretical sense, they should be transient or short‐lived since they tend to be absorbed into the east‐west oscillations called toroidal modes. However, many observations show that long‐lasting poloidal modes exist even if there is no corresponding driving source at that moment. We theoretically study how this could happen and what kinds of conditions are required for persistent poloidal waves. We start by showing that constant Alfven frequency at a certain local region can make the poloidal lifetime longer. We derive two new, simple types of very useful necessary conditions, where we can get the conditions in terms of particle energy and wave numbers, which are found to be also consistent with the statistics of observations. Key Points: Long‐lasting poloidal Alfven waves with no corresponding particle sources are often observed, but no theories are available yetWe derive two new necessary conditions for the existence of persistent poloidal modes in terms of energy and wavenumberWe present a statistical database to compare its events with the theoretical conditions, which are very consistent with the observations [ABSTRACT FROM AUTHOR]

Background: Bioenergy plays a key role in the transition to a sustainable economy in Europe, but its own sustainability is being questioned. We study the experiences of Sweden, Finland, Denmark and Norway, to find out whether the forest-based bioenergy chains developed in the four countries have led to unsustainable outcomes and how the countries manage the sustainability risks. Data were collected from a diversity of sources including interviews, statistical databases, the scientific literature, government planning documents and legislation. Results: Sustainability risks of deforestation, degradation of forests, reduced carbon pools in forests, expensive biopower and heat, resource competition, and lack of acceptance at the local level are considered. The experience of the four countries shows that the sustainability risks can to a high degree be managed with voluntary measures without resorting to prescriptive measures. It is possible to add to the carbon pools of forests along with higher harvest volumes if the risks are well managed. There is, however, a marginal trade-off between harvest volume and carbon pools. Economic sustainability risks may be more challenging than ecological risks because the competitiveness order of renewable energy technologies has been reversed in the last decade. The risk of resource competition harming other sectors in the economy was found to be small and manageable but requires continuous monitoring. Local communities acting as bioenergy communities have been agents of change behind the most expansive bioenergy chains. A fear of non-local actors reaping the economic gains involved in bioenergy chains was found to be one of the risks to the trust and acceptance necessary for local communities to act as bioenergy communities. Conclusions: The Nordic experience shows that it has been possible to manage the sustainability risks examined in this paper to an extent avoiding unsustainable outcomes. Sustainability risks have been managed by developing an institutional framework involving laws, regulations, standards and community commitments. Particularly on the local level, bioenergy chains should be developed with stakeholder involvement in development and use, in order to safeguard the legitimacy of bioenergy development and reconcile tensions between the global quest for a climate neutral economy and the local quest for an economically viable community. [ABSTRACT FROM AUTHOR]

The main goal of this paper is to evaluate the role of inventor mobility and inventive collaboration in Brazilian regional innovation. We take into account the regional knowledge production function (RKPF) to incorporate the regional interactions promoted by these two important knowledge diffusion channels. Using a dynamic panel with data from a unique combination of the Intellectual Property Database for Statistical Purposes (BADEPI v1.0) and the Annual Social Information Report of the Labor Ministry (RAIS), we estimate the interregional inventor mobility and co-invention using a Poisson-Pseudo Maximum Likelihood estimator, and the RKPF using a system Generalized Method of Moments (GMM) estimator. Our results show that: (a) space exerts a relevant influence on an inventor's decision to migrate and to collaborate to innovate; (b) inventor mobility among Brazilian regions promotes regional innovation; (c) regional collaboration significantly contributes to regional innovation. [ABSTRACT FROM AUTHOR]

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We present the Codon Statistics Database, an online database that contains codon usage statistics for all the species with reference or representative genomes in RefSeq (over 15,000). The user can search for any species and access two sets of tables. One set lists, for each codon, the frequency, the Relative Synonymous Codon Usage, and whether the codon is preferred. Another set of tables lists, for each gene, its GC content, Effective Number of Codons, Codon Adaptation Index, and frequency of optimal codons. Equivalent tables can be accessed for (1) all nuclear genes, (2) nuclear genes encoding ribosomal proteins, (3) mitochondrial genes, and (4) chloroplast genes (if available in the relevant assembly). The user can also search for any taxonomic group (e.g. "primates") and obtain a table comparing all the species in the group. The database is free to access without registration at http://codonstatsdb.unr.edu. [ABSTRACT FROM AUTHOR]

Featured Application: By providing relevant statistical data of structural aluminium's main mechanical properties, the conducted analysis represents an essential step for the implementation of the correct probabilistic approach in Eurocode 9. Adequate knowledge of mechanical properties and their statistical description is the basis for performing reliable verification of design methods and design of structures in general. The probabilistic design approach implemented in Eurocodes requires statistical data on all variables used in the design procedure. Although aluminium was introduced in structural Eurocodes more than four decades ago (ENV), the statistical database of mechanical properties is still inadequate. To provide a reliable statistical background, data collection was performed concerning aluminium products mainly found in the European market, within the last 20 years regarding certificates from the aluminium industry and 30 years regarding data from the research community. The collected data include aluminium alloy series 1xxx, 5xxx, 6xxx, and 7xxx, mainly extruded, and relevant mechanical properties such as 0.2% proof strength, ultimate strength, Young's modulus, and Poisson's ratio. They were fit to distributions, and relevant fractiles were determined, along with an analysis of nominal to characteristic and design value ratios. Variation of ratios obtained shows that that the majority of nominal values are economical and reliable. However, certain adjustments to nominal values are required to achieve a uniform reliability level in terms of the choice of alloy and temper. [ABSTRACT FROM AUTHOR]

Objective: We aimed to compare the risk for injury overall and by intent (accidental injury, self‐injury, and assault) among children born to women with versus without schizophrenia. Methods: Using health administrative data from Ontario, Canada, children born from 2003 to 2017 to mothers with (n = 3769) and without (n = 1,830,054) schizophrenia diagnosed prior to their birth were compared on their risk for child injury, captured via emergency department, hospitalization, and vital statistics databases up to age 15 years. Cox proportional hazard models generated hazard ratios for time to first injury event (overall and by intent), adjusted for potential confounders (aHR). We stratified by child sex and age at follow‐up: 0–1 (infancy), 2–5 (pre‐school), 6–9 (primary school), and 10–15 (early adolescence) planning to collapse age categories as needed to obtain stable and reportable estimates. Results: Maternal schizophrenia was associated with elevated risk for child injury overall (105.4 vs. 89.4/1000 person‐years (py), aHR 1.08, 95% CI 1.03–1.14), accidental injury (104.7 vs. 88.1/1000py, 1.08, 1.03–1.14), for self‐injury (0.4 vs. 0.2/1000py, 2.14 1.18–3.85), and assault (1.0 vs. 0.3/1000py, 2.29, 1.45–3.62). By child sex, point estimates were of similar magnitude and direction, though not all remained statistically significant. For accidental injury and self‐injury, the risk associated with maternal schizophrenia was most elevated in 10–15‐year‐olds. For assault, the risk associated with maternal schizophrenia was most elevated among children in the 0–1 and 2–5‐year‐old age groups. Conclusion: The elevated risk of child injury associated with maternal schizophrenia, especially for self‐injury and assault, suggests that targeted monitoring and preventive interventions are warranted. [ABSTRACT FROM AUTHOR]

This paper presents an analysis of fatalities attributable to weather conditions in the Czech Republic during the 2000–2019 period. The database of fatalities deployed contains information extracted from Právo , a leading daily newspaper, and Novinky.cz , its internet equivalent, supplemented by a number of other documentary sources. The analysis is performed for floods, windstorms, convective storms, rain, snow, glaze ice, frost, heat, and fog. For each of them, the associated fatalities are investigated in terms of annual frequencies, trends, annual variation, spatial distribution, cause, type, place, and time as well as the sex, age, and behaviour of casualties. There were 1164 weather-related fatalities during the 2000–2019 study period, exhibiting a statistically significant falling trend. Those attributable to frost (31 %) predominated, followed by glaze ice, rain, and snow. Fatalities were at their maximum in January and December and at their minimum in April and September. Fatalities arising out of vehicle accidents (48 %) predominated in terms of structure, followed by freezing or hypothermia (30 %). Most deaths occurred during the night. Adults (65 %) and males (72 %) accounted for the majority of fatalities, while indirect fatalities were more frequent than direct ones (55 % to 45 %). Hazardous behaviour accounted for 76 %. According to the database of the Czech Statistical Office, deaths caused by exposure to excessive natural cold are markedly predominant among five selected groups of weather-related fatalities, and their numbers exhibit a statistically significant rise during 2000–2019. Police yearbooks of the fatalities arising out of vehicle accidents indicate significantly decreasing trends in the frequency of inclement weather patterns associated with fatal accidents as well as a decrease in their percentage in annual numbers of fatalities. The discussion of results includes the problems of data uncertainty, comparison of different data sources, and the broader context. [ABSTRACT FROM AUTHOR]

Chronic obstructive pulmonary disease (COPD) may increase the risk and severity of pertussis infection. Health care resource utilization (HCRU) and direct medical costs (DMC) of treating pertussis among patients with COPD are unknown. Reported incidence of pertussis among individuals aged ≥ 50 years with COPD was assessed in Clinical Practice Research Datalink and Hospital Episode Statistics databases during 2009–2018 using a retrospective cohort design. HCRU and DMC from the National Health Service perspective were compared between patients with COPD and pertussis and propensity score-matched patients with COPD without pertussis. Seventy-eight new pertussis events were identified among 387 086 patients with COPD aged ≥ 50 years (incidence rate: 4.73; 95% confidence interval 3.74–5.91 per 100 000 person-years). HCRU and DMC were assessed among 67 patients with COPD and pertussis and 267 matched controls. During the month before the pertussis diagnosis, the rates of general practitioner (GP)/nurse visits (4289 vs. 1774 per 100 patient-years) and accident and emergency visits (182 vs. 18 per 100 patient-years) were higher in the pertussis cohort; GP/nurse visits (2935 vs. 1705 per 100 patient-years) were also higher during the following 2 months (all p < 0.001). During the month before the pertussis diagnosis, annualized per-patient total DMC were £2012 higher in the pertussis cohort (£3729 vs. £1717; p < 0.001); during the following 2 months, they were £2407 higher (£5498 vs. £3091; p < 0.001). In conclusion, a pertussis episode among individuals with COPD resulted in significant increases in HCRU and DMC around the pertussis event. [ABSTRACT FROM AUTHOR]

In marketing, problems such as the increase in customer data, the increase in the difficulty of data extraction and access, the lack of reliability and accuracy of data analysis, the slow efficiency of data processing, and the inability to effectively transform massive amounts of data into valuable information have become increasingly prominent. In order to study the effect of customer response, based on machine learning algorithms, this paper constructs a marketing customer response scoring model based on machine learning data analysis. In the context of supplier customer relationship management, this article analyzes the supplier's precision marketing status and existing problems and uses its own development and management characteristics to improve marketing strategies. Moreover, this article uses a combination of database and statistical modeling and analysis to try to establish a customer response scoring model suitable for supplier precision marketing. In addition, this article conducts research and analysis with examples. From the research results, it can be seen that the performance of the model constructed in this article is good. [ABSTRACT FROM AUTHOR]

Background: Suicide is a multifaceted phenomenon with multiple underlying risk factors, including alcohol and/or abuse of other drugs and psychiatric illnesses. Toxicological analysis is of crucial importance even in hanging deaths where the cause of death seems to be ‘obvious’. Objective: To investigate hanging suicide deaths, focusing on toxicological findings in their postmortem specimens, over a period of six years in the Eastern Province, Saudi Arabia. Methods: The suicidal hanging deaths in the period from 2014 to 2019 were retrospectively studied from autopsy and toxicology analysis reports. Results: Of the investigated 75 hanging suicides, 64 (85.3%) were males and 11 (14.7%) were females. Most of the cases were in the age group between 31 and 40 years of age (36%). Non-Saudi nationals (57, 76%) much prevailed over Saudi people (18, 24%) and the highest is the Indian population (27, 36%), followed by Saudi nationals (18, 24%). Ethanol was the commonest detected substance in the studied specimens (45, 60%). Cannabis ranked the second (14, 18.6%) followed by antipsychotic drugs (10, 13.3%) and amphetamine (7, 9. 3%).Conclusion:The precise statistical mortality database for hanging suicides deaths may provide a valuable evidence for the importance of postmortem toxicology analysis and the role of alcohol and its effect on the aggressive behavior, human health and mortality. In the current study, Ethanol was the highest detected substance in the studied specimens (45, 60%), with predominance of non-Saudi Indian males. [ABSTRACT FROM AUTHOR]

The number of research projects and publications on different aspects of tourism is increasing rapidly both internationally and in Hungary, however, the concept and related phenomena of invisible tourism (trips lasting for less than 24 hours, wherein travellers' tourism activity is unknown and/or not measured or registered in databases) have not received substantial attention up until now. Although exploring invisible tourism may cause numerous difficulties for researchers, they can apply several methods (e.g. analysis of statistical databases, measurements, observations, etc.) that may help them to draw a picture of this phenomenon. The present paper discusses Hungary's invisible international tourism and focuses on foreigners' day trips (trips lasting for less than 24 hours) to Hungary that are not coupled with overnight stay at accommodation establishments. The study examines the phenomena of transit and cross-border excursions, but excludes foreigners' invisible multi-day trips (e.g. foreigners staying at their second homes, at relatives or friends). The study is based on the analysis of the database of the HCSO (Hungarian Central Statistical Office) and introduces the number and percentage of trips corresponding to the above criteria, the expenditures related to these trips, travellers' countries of origin and major travel motivations. Results show that Hungary's international invisible tourism is dominated by transit visitors and shopping tourists who primarily come from Slovakia, Romania, Austria, Serbia and Ukraine. Although day trips make up for the majority of trips by foreigners to Hungary, still their economic significance is far less prominent, that is why it would be important to increase the expenditure of day-trippers by applying targeted marketing and product development as well as to increase travellers' average length of stay. [ABSTRACT FROM AUTHOR]

The fluctuation of tourism flow and its cartographic representation are crucial for transport companies, accommodation and regional tourism, but also for the future modelling of international tourism flow. The origin of tourists and their number represent the most important aspect in tourism flow mapping, which are recorded in statistical databases. One of the most popular and easiest way to obtain tourism flow maps is the Kernel Density function, available on ArcGIS, which uses the vector lines data and density mathematical function to represent the objects' characteristics at spatial scale. Spatial distribution of the tourist flow is a tool to observe and assess the origin and destination countries at spatial scale. In this paper, the modelling of tourist flow from their countries of origin to the United Kingdom (UK) was completed through Geographical Information Systems (GIS) considering four types of visitors. The analysis is based on flow lines and Kernel Density using 48 countries of tourists' source related to 2015. The high and very high densities were found in European countries, US, Australia, China, and Canada. Considering the types of visits, the higher number of tourists during 2015 is in respect with holiday visits (> 1.8 million). The model proposed in this paper and the original maps contribute to future strategies and plans for the international tourism over UK. [ABSTRACT FROM AUTHOR]

Objective: Recent events (e.g., Brexit) have highlighted how globalization may foster hostility toward out‐groups in developed democracies. Is trade competition systematically related to hate in the United States? Methods: I conduct a county‐level statistical analysis using data from the Trade Adjustment Assistance program, the FBI's Hate Crime Statistics database, and the Southern Poverty Law Center's hate group map over the period of 2003–2017. Results: Counties with more trade‐related layoffs tend to have more hate groups, though not hate crimes, even after accounting for changes in unemployment rates. The relationship between trade layoffs and hate groups is strongest in counties that have recently experienced larger decreases in the share of the white population. Conclusions: Although existing studies on diffuse economic vulnerability and hate find a weak connection between economic factors and hate, trade layoffs can explain some variation in local hate group activity. [ABSTRACT FROM AUTHOR]