Search results

The purpose of this paper is to evaluate the results of inspections carried out by the State Veterinary Administration (SVA) of Czech Republic (CR) for the occurrence of chemical contaminants in animal products before and after CR entered the European Union (EU).

Data was collected from e-databases of the SVA from 1999–2016 and sorted into categories (game animals and fish; livestock; food and raw material of animal origin) and time periods (one before entry and two after entry of CR to the EU). Analyses of the samples were categorized as “positive samples” (any presence of contaminants) and “samples above the MRL” (presence of contaminants exceeding the maximum residue levels).

Results showed a significant decrease in the number of positive findings of contaminants during the monitored years 1999–2016, especially after CR entered the EU. Most encouragingly, the number of samples that exceeded the MRL was less than 1 percent from all the tested samples of animal origin and, after entry to the EU, in one category (food and raw materials of animal origin) it was even less than 0.1 percent. Findings of banned substances indicate continued environmental contamination in CR; however, this remains a problem in most of Europe due to their extensive use in the past and slow degradation.

This paper provides an overview of the occurrence of chemical contaminants and their levels in food of animal origin in view of the changing legislative requirements before and after CR entered the EU.

Despite the boom corporate social responsibility (CSR) and sustainability are enjoying nowadays in the agendas of both small and big companies, we still have difficulties in providing a clear definition of the concept of sustainability. There is no consensus on the criteria to be used to define and enhance responsible management that creates sustainable development.

After a systematic revision of the literature, authors have been mapping the limits of the research already done at different levels, dimensions, and horizons, so we do have a 360° map of the research on sustainability. Future developments are also explored to enrich and align the diverse approaches demanded to define this wide, complex, and by now, equivocal concept and the conclusions reveal the many gaps not yet covered in the research field, signposting key issues for further work.

IT is well known that librarianship or library science and information work or information science as the common educational, professional and scientific discipline is everywhere undergoing great change and development. During its continual and relatively fast development, this discipline has at the same time to solve the increasing tasks connected with the problems of the so‐called information explosion.

This paper aims to investigate different ways in which faculty members of sustainability-related departments in universities across the world perceive, understand and define sustainability and how these definitions are linked to their demographics and epistemological beliefs.

Scholars from different disciplines investigate the sustainability of social-ecological systems from different perspectives. Such differences in the understanding of, and approaches to, sustainability have created ambiguity within the field and may weaken its effectiveness, impact and reputation as a field of research. To contribute to the discussion about sustainability definition, a survey was conducted involving university faculty members working in sustainability-related academic departments around the world. Participants’ responses were analyzed using SPSS 24.0 involving descriptive and inferential statistics and principle component analysis. Additionally, responses to open-ended questions were qualitatively analyzed.

Factor analysis on sustainability definition items reveal four emergent universal definitions of sustainability, labeled as Environmentalism concerns, Common understanding, neo-Malthusian environmentalism and Sustainability as well-being. Statistical analyses indicate that individuals from developed countries are more likely to define sustainability as Environmentalism and Common understanding; however, individuals from developing countries tend to define sustainability as well-being. Also, more heavily engaged scholars in interdisciplinary research of sustainability are more likely to perceive sustainability as Common understanding. Logistic Regression models demonstrate a connection between epistemological perspectives of researchers and sustainability definitions. Qualitative content analysis indicates that interdisciplinarity and collaboration are the most common challenges to sustainability research.

The findings of this study demonstrate disconnects between scholars from developing and developed countries in understanding and defining sustainability, and these disconnects may present further challenges for global sustainability scholarship.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.

Measurement uncertainty is present in all measurement processes in the field of production engineering. However, this uncertainty should be minimized to avoid erroneous decisions. Present methods to determine the measurement uncertainty are either only applicable to certain processes and do not lead to valid results in general or require a high effort in their application. To optimize the costs and benefits of the measurement uncertainty determination, a method has to be developed which is valid in general and easy to apply. The paper aims to discuss these issues.

This paper presents a new technique for determining the measurement uncertainty of complex measurement processes. The approximation capability of artificial neural networks with one hidden layer is proven for continuous functions and represents the basis for a method for determining a measurement model for continuous measurement values.

As this method does not require any previous knowledge or expertise, it is easy to apply to any measurement process with a continuous output. Using the model equation for the measurement values obtained by the neural network, the measurement uncertainty can be derived using common methods, like the Guide to the expression of uncertainty in measurement. Moreover, a method for evaluating the model performance is presented. By comparing measured values with the output of the neural network, a range in which the model is valid can be established. Combining the evaluation process with the modelling itself, the model can be improved with no further effort.

The developed method simplifies the design of neural networks in general and the modelling for the determination of measurement uncertainty in particular.

ALTHOUGH the first Public Libraries (Scotland) Act was placed on the Statute Book in 1853, it was not until 1899 that the Corporation of the City of Glasgow was empowered to establish and maintain public libraries throughout the city. Between 1876 and 1897 four attempts were made to secure public approval for the adoption of the Public Libraries (Scotland) Acts, but when all these efforts proved unsuccessful, the Corporation decided in June, 1888 to include in a Local Bill for submission to Parliament, certain clauses conferring upon themselves the power to become a library authority. Promoted in 1899, the Bill became known as the Glasgow Corporation (Tramways, Libraries, etc.) Act 1899, and the library clauses passed through Parliament without opposition and received Royal Assent on 1st August, 1899. The powers conferred by this Local Act empowered the Corporation:

All items listed may be borrowed from the Aslib Library, except those marked, which may be consulted in the Library.

The purpose of this paper is to determine the effect of the industrial sector, renewable energy consumption and nonrenewable energy consumption in Indonesia on the ecological footprint from 1990 to 2020 in the short and long term.

This paper uses vector error correction model (VECM) analysis to examine the relationship in the short and long term. In addition, the impulse response function is used to enable future forecasts up to 2060 of the ecological footprint as a measure of environmental degradation caused by changes or shocks in industrial value-added, renewable energy consumption and nonrenewable energy consumption. Furthermore, forecast error decomposition of variance (FEVD) analysis is carried out to predict the percentage contribution of each variable’s variance to changes in a specific variable. Granger causality testing is used to enhance the analysis outcomes within the framework of VECM.

Using VECM analysis, the speed of adjustment for environmental damage is quite high in the short term, at 246%. This finding suggests that when there is a short-term imbalance in industrial value-added, renewable energy consumption and nonrenewable energy consumption, the ecological footprint experiences a very rapid adjustment, at 246%, to move towards long-term balance. Then, in the long term, the ecological footprint in Indonesia is most influenced by nonrenewable energy consumption. This is also confirmed by the Granger causality test and the results of FEVD, which show that the contribution of nonrenewable energy consumption will be 10.207% in 2060 and will be the main contributor to the ecological footprint in the coming years to achieve net-zero emissions in 2060. In the long run, renewable energy consumption has a negative effect on the ecological footprint, whereas industrial value-added and nonrenewable energy consumption have a positive effect.

For the first time, value added from the industrial sector is being used alongside renewable and nonrenewable energy consumption to measure Indonesia’s ecological footprint. The primary cause of Indonesia’s alarming environmental degradation is the industrial sector, which acts as the driving force behind this issue. Consequently, this contribution is expected to inform the policy implications required to achieve zero carbon emissions by 2060, aligned with the G20 countries’ Bali agreement of 2022.