From Theory to Practice: Enhancing the Potential Policy Impact of Industrial Ecology

Industrial ecology introduced a new paradigm of principles and tools useful to academic analysis and decision support activities for industry and policymakers. This paper presents a view of the state of the art of industrial ecology, encompassing the four major theoretical traditions comprising the field, and emphasizing the relevance to practice. The principles of industrial ecology offer a basis for integrating environmental perspectives into production and consumption strategies, though there are significant challenges to be addressed

Evaluation of virtual screening strategies for the identification of γ-secretase inhibitors and modulators

γ-Secretase is an intramembrane aspartyl protease that is important in regulating normal cell physiology via cleavage of over 100 transmembrane proteins, including Amyloid Precursor Protein (APP) and Notch family receptors. However, aberrant proteolysis of substrates has implications in the progression of disease pathologies, including Alzheimer’s disease (AD), cancers, and skin disorders. While several γ-secretase inhibitors have been identified, there has been toxicity observed in clinical trials associated with non-selective enzyme inhibition. To address this, γ-secretase modulators have been identified and pursued as more selective agents. Recent structural evidence has provided an insight into how γ-secretase inhibitors and modulators are recognized by γ-secretase, providing a platform for rational drug design targeting this protease. In this study, docking-and pharmacophore-based screening approaches were evaluated for their ability to identify, from libraries of known inhibitors and modulators with decoys with similar physicochemical properties, γ-secretase inhibitors and modulators. Using these libraries, we defined strategies for identifying both γ-secretase inhibitors and modulators incorporating an initial pharmacophore-based screen followed by a docking-based screen, with each strategy employing distinct γ-secretase structures. Furthermore, known γ-secretase inhibitors and modulators were able to be identified from an external set of bioactive molecules following application of the derived screening strategies. The approaches described herein will inform the discovery of novel small molecules targeting γ-secretase

Enabling the Circular Economy transition: a sustainable lean manufacturing recipe for Industry 4.0

AbstractOver the past 10 years, the concepts and objectives of circular economy have been increasingly detailed and become strategic issues of international, European, and national policies. However, the transition towards circular production models continues to be affected by several barriers and critical factors that make the transition difficult to achieve. The paper tries to design a relationship between sustainable production and lean production, highlighting the opportunity to invest in reverse‐logistics and how Industry 4.0 system represents a breeding ground for circular economy targets application. The aim of the current study is to examine the relationships among sustainable production, lean production, and Industry 4.0 in order to evidence the need to adopt a lean methodology and Industry 4.0 technologies in a sustainable development perspective for companies. Following a holistic vision, the authors summarize the production principles and formulas, which, although in parallel, lead to similar results and therefore represent the pillars of a competitive and sustainable business. In conclusion, exploring the circular economy principles and production chain model, challenges, opportunities, and future outlooks are formulated

Innovation level and local development of EU regions. A new assessment approach

Abstract The main purpose of the study is to present a new approach to comparing EU regions according to their level of innovation. For many years, different organizations have published reports related to the innovation level of EU countries and regions. Usually, taxonomic methods are used to measure development in this area. The main disadvantage of this approach is that it offers an assessment of EU innovation level based only on the mean, while the main goal of this kind of analysis should include an assessment of results compatibility obtained in different areas constituting a composite measure. For this purpose, a different procedure based on the multi-criteria taxonomic method is proposed. In this method, the innovation level of every object (in the paper, EU regions) is assessed using results obtained in every group of indicators taken into account for this purpose. This means that EU regions can be divided into groups according their level of innovation in all considered areas, not only according to their mean value of development. This is the basic advantage of this type of analysis. An added value of the considerations presented in the paper is the possibility of obtaining supplementary information about the internal structure of the innovation of socio-economic objects. It should be emphasized that such analysis is a new approach to this kind of assessment. The results are especially relevant to associations such as the European Union, in which internal cohesion is one of its strategic developmental goals

Competitiveness and the Logistics Performance Index: The ANOVA method application for Africa, Asia, and the EU regions

Abstract This paper analyses the impact of strategic sub-components of the Global Competitiveness Index (GCI) on the Logistics Performance Index (LPI). As a hypothesis, it is assumed that there is a relationship between the LPI and selected factors in GCI, which were grouped into three clusters: infrastructure, human factor, and institutions. The purpose is to investigate which of those groups has the most significant impact on the LPI - an interactive comparative analysis tool created by the World Bank that addresses logistics issues in a broad context against world regions' development or countries' economies. For this purpose, the LPI was used as the dependent variable, while a linear regression model measured some GCI components' influence. The study was conducted for Africa, Asia, and the EU, employing the ANOVA method. The paper finds the three clusters are related to higher efficiency. While the new method shows these clusters are essential for improving the logistics performance index, an extensive range of factors might affect logistics sector performance in both geography and stage of development. In Europe, human factor is far more critical for progressively improving the LPI, while necessary infrastructure remains crucial in Asia. All three factors are central to Africa's logistics development

Stimulating technological innovation through incentives: Perceptions of Australian and Brazilian firms

Innovation has been the main driver of economic growth as it plays an increasingly central role in firm performance. Incentivising innovation by governments is essential to stimulate investment by companies, covering part of their R&amp;D costs, and minimising their financial risks. There is, however, limited understanding of how innovation incentives are perceived by the companies. This paper examines the perceptions of technology firms, and the views of key actors about public incentive schemes for innovation in Australia and Brazil. The study finds that: (a) Direct incentives are perceived as critical for increasing innovation capabilities of firms; (b) Where tax incentive and infrastructure development schemes are the most preferred incentive programs among the firms; (c) However, despite the former two findings, effectiveness of existing incentive programs has been marginal in fostering innovation significantly in the studied countries. These findings imply that Australian and Brazilian governments should further focus on the design, promotion, and delivery methods of the innovation support mechanisms.</p

Pandemic Vulnerability Knowledge Visualisation for Strategic Decision-Making: A COVID-19 Index for Government Response in Australia

Purpose: This study aims to develop a pandemic vulnerability knowledge visualisation index to support the strategic decision-making efforts of authorities. Design/methodology/approach: First, the key vulnerability factors from the literature are identified. Second, using the vulnerability factors as indicators, a composite index is developed. Last, from the index values, a set of vulnerability knowledge maps, showing the vulnerability hotspots, are prepared. Findings: Ten indicators are identified as vulnerability factors that could significantly impact the virus spread risks. Verifying the identified hotspots against the recorded infected cases and deaths has evidenced the usefulness of the index. Determining and visualising the high-vulnerability locations and communities could help in informed strategic decision-making and responses of the authorises to the pandemic. Originality/value: The study demonstrates that the developed pandemic vulnerability knowledge visualisation index is particularly appropriate in the context of Australia. Nonetheless, by replicating the methodologic steps of the study, customised versions can be developed for other country contexts. Keywords: knowledge visualisation; strategic decision-making; community vulnerability; COVID-19; government response; Australia Paper type: Research paper</p