Analysis and application of ERTS-1 data for regional geological mapping

Combined visual and digital techniques of analysing ERTS-1 data for geologic information have been tried on selected areas in Pennsylvania. The major physiolographic and structural provinces show up well. Supervised mapping, following the imaged expression of known geologic features on ERTS band 5 enlargements (1:250,000) of parts of eastern Pennsylvania, delimited the Diabase Sills and the Precambrian rocks of the Reading Prong with remarkable accuracy. From unsupervised mapping, transgressive linear features are apparent in unexpected density, and exhibit strong control over river valley and stream channel directions. They are unaffected by bedrock type, age, or primary structural boundaries, which suggests they are either rejuvenated basement joint directions on different scales, or they are a recently impressed structure possibly associated with a drifting North American plate. With ground mapping and underflight data, 6 scales of linear features have been recognized

Agent based modelling as a decision support system for shadow accounting

We propose the use of agent based modelling to create a shadow account, that is, a secondary account of a business which is used to audit or verify the primary ac¬count. Such a model could be used to test the claims of industries and businesses. For example, the model could determine whether a business is generating enough funds to pay minimum wage. Parameters in the model can be set by observation or a range of values can be tested to determine points at which enough revenue could be generated. We illustrate the potential of agent based modelling as a tool for shadow accounting with a case study of a car wash business

Modern slavery challenges to supply chain management

Purpose – This paper aims to draw attention to the challenges modern slavery poses to supply chain management. Although many international supply chains are (most often unknowingly) connected to slave labour activities, supply chain managers and researchers have so far neglected the issue. This will most likely change as soon as civil society lobbying and new legislation impose increasing litigation and reputational risks on companies operating international supply chains. Design/methodology/approach – The paper provides a definition of slavery; explores potentials for knowledge exchange with other disciplines; discusses management tools for detecting slavery, as well as suitable company responses after its detection; and outlines avenues for future research. Findings – Due to a lack of effective indicators, new tools and indicator systems need to be developed that consider the specific social, cultural and geographical context of supply regions. After detection of slavery, multi-stakeholder partnerships, community-centred approaches and supplier development appear to be effective responses. Research limitations/implications – New theory development in supply chain management (SCM) is urgently needed to facilitate the understanding, avoidance and elimination of slavery in supply chains. As a starting point for future research, the challenges of slavery to SCM are conceptualised, focussing on capabilities and specific institutional context. Practical implications – The paper provides a starting point for the development of practices and tools for identifying and removing slave labour from supply chains. Originality/value – Although representing a substantial threat to current supply chain models, slavery has so far not been addressed in SCM research

Adoption and transferability of joint interventions to fight modern slavery in food supply chains

More than 50 million people in the world are estimated to be in a situation of modern slavery, the most extreme form of labour exploitation. Many of them are working in sectors such as mining and agriculture, which produce price-sensitive commodity products and where workers are particularly vulnerable. Against this challenge, we analyse a successful intervention against modern slavery in a place that has been labelled the “ground zero of modern slavery in the US”. The Fair Food Programme was established in the tomato growing industry in Immokalee, Florida, and is based on an innovative joint action between farmers, buyers, and workers. We use an agent-based model built on qualitative field data to explain the success of the programme and to investigate whether the programme could be successfully transferred to other contextual settings. We model several market structures and measure the time it takes for all actors in the system to join the Fair Food Programme after a shock event (such as a case of modern slavery being discovered) triggered a dynamic of joint action. Our model shows that a high heterogeneity in farmer sizes leads to an increase in the time taken for them all to join the Fair Food Programme, while a high heterogeneity in buyer sizes speeds up reaching the tipping point towards joint action. We discuss these results and their implications for the transferability of the Fair Food Programme as a voluntary, incentive-driven approach towards tackling modern slavery, to other locations and contexts

Within-host competitive exclusion among species of the anther smut pathogen

<p>Abstract</p> <p>Background</p> <p>Host individuals represent an arena in which pathogens compete for resources and transmission opportunities, with major implications for the evolution of virulence and the structure of populations. Studies to date have focused on competitive interactions within pathogen species, and the level of antagonism tends to increase with the genetic distance between competitors. Anther-smut fungi, in the genus <it>Microbotryum</it>, have emerged as a tractable model for within-host competition. Here, using two pathogen species that are frequently found in sympatry, we investigated whether the antagonism seen among genotypes of the same species cascades up to influence competition among pathogen species.</p> <p>Results</p> <p>Sequential inoculation of hosts showed that a resident infection most often excludes a challenging pathogen genotype, which is consistent with prior studies. However, the challenging pathogen was significantly more likely to invade the already-infected host if the resident infection was a conspecific genotype compared to challenges involving a closely related species. Moreover, when inter-specific co-infection occurred, the pathogens were highly segregated within the host, in contrast to intra-specific co-infection.</p> <p>Conclusion</p> <p>We show evidence that competitive exclusion during infection can be greater among closely related pathogen species than among genotypes within species. This pattern follows from prior studies demonstrating that genetic distance and antagonistic interactions are positively correlated in <it>Microbotryum</it>. Fungal vegetative incompatibility is a likely mechanism of direct competitive interference, and has been shown in some fungi to be effective both within and across species boundaries. For systems where related pathogen species frequently co-occur in the same host populations, these competitive dynamics may substantially impact the spatial segregation of pathogen species.</p

Understanding labour exploitation in the Spanish agricultural sector using an agent based approach

Using an agent-based model we explore the model of slavery in modern business developed by Crane (2013). Taking the Spanish agricultural sector—specifically the area of Campo de Dalías in Almería where much of Europe's vegetables are grown—as a case, we find that labour exploitation flourishes in communities of like-minded companies that do not care about mainstream norms. We confirm which socio-economic aspects of labour demand/supply lead to slavery, while challenging the assumption that markets which are dominated by few employers are more prone to exploiting workers. We find that, regarding isolation and connectedness of employers, cluster effects and intense inter-employer communication are particularly effective drivers of underpayment if the cluster is homogenous in terms of wage level and if it is isolated from law-abiding employers. This means that employers tend to confirm and reinforce each other in their illegal behaviour, thus creating enclaves in which non-standard norms prevail and worker exploitation is regarded as legitimate. On the other hand, we see that breaking the isolation of employees among each other only increases pay levels if there are law-abiding employers, pointing to the potentially beneficial role social business and entrepreneurs, state-owned companies, or public entrepreneurs could play for transforming labour conditions of entire markets

Flavivirus-dependent packaging of Aedes aegypti saliva proteins into extracellular vesicles enhances infection

Flaviviruses are a genus of arboviruses, including dengue virus (DENV), Zika virus, yellow fever virus, and West Nile virus, that have the potential to cause severe disease in humans and represent a tremendous and growing threat to public health. Like all arboviruses, flavivirus infection is contracted upon the bite of an infected vector, a process during which the virus and saliva are injected into the host skin. A large body of work has already reported the infection-enhancing ability of proteins derived from vector saliva, suggesting the existence of selective pressures on the vector-to-host viral transmission process. Through the work described herein, we demonstrated that flavivirus infection of Aedes aegypti modulates the protein cargo of extracellular vesicles, a potential avenue for the delivery of pro-viral factors during transmission. In doing so, we identified one protein, AAEL002675 (ARGIL1- Aedes aegypti Arginase-like 1 Protein), a putative arginase, within specific fractions of Aedes aegypti saliva that displayed infection-enhancing activity. We also observed this ARGIL1 protein within extracellular vesicles derived from dengue-infected Aedes aegypti cells. Importantly, treatment of cells with ARGIL1 resulted in an arginase-dependent enhanced level of DENV infection in vitro. In mammals, arginase is an important regulator of excessive cellular inflammation. It catalyzes production of collagen and polyamines from L-arginine, therefore reducing the pool of L-arginine substrate available for inducible nitric oxide synthase (iNOS) to produce nitric oxide. Consistently, cells treated with ARGIL1 displayed decreased levels of iNOS upon DENV infection, suggesting that ARGIL1 treatment reshapes the cellular environment to be more permissive to viral replication upon mosquito bite. These findings provide further evidence that ARGIL1 is an arginase-like pro-viral factor enhancing vector-to-host DENV transmission. Altogether, a better understanding of the molecular processes driving DENV transmission, such as those described here, will be instrumental for the development of innovative preventative antiviral strategies against flaviviruses and arboviruses, including vaccines that target vector proteins

Translating interdisciplinary knowledge for gender equity: Quantifying the impact of NSF ADVANCE

Background Interdisciplinarity is often hailed as a necessity for tackling real-world challenges. We examine the prevalence and impact of interdisciplinarity in the NSF ADVANCE program, which addresses gender equity in STEM. Methods Through a quantitative analysis of authorship, references, and citations in ADVANCE publications, we compare the interdisciplinarity of knowledge produced within the program to traditional disciplinary knowledge. We use Simpon's Diversity Index to test for differences across disciplines, and we use negative binomial regression to capture the potential influences of interdisciplinarity on the long-term impact of ADVANCE publications. Results ADVANCE publications exhibit higher levels of interdisciplinarity across three dimensions of knowledge integration, and cross-disciplinary ties within ADVANCE successfully integrate social science knowledge into diverse disciplines. Additionally, the interdisciplinarity of publication references positively influences the impact of ADVANCE work, while the interdisciplinarity of authorship teams does not. Conclusions These findings emphasize the significance of interdisciplinarity in problem-oriented knowledge production, indicating that specific forms of interdisciplinarity can lead to broader impact. By shedding light on the interplay between interdisciplinary approaches, disciplinary structures, and academic recognition, this article contributes to programmatic design to generate impactful problem-solving knowledge that also adds to the academic community

Chaotic Observer-based Synchronization Under Information Constraints

Limit possibilities of observer-based synchronization systems under information constraints (limited information capacity of the coupling channel) are evaluated. We give theoretical analysis for multi-dimensional drive-response systems represented in the Lurie form (linear part plus nonlinearity depending only on measurable outputs). It is shown that the upper bound of the limit synchronization error (LSE) is proportional to the upper bound of the transmission error. As a consequence, the upper and lower bounds of LSE are proportional to the maximum rate of the coupling signal and inversely proportional to the information transmission rate (channel capacity). Optimality of the binary coding for coders with one-step memory is established. The results are applied to synchronization of two chaotic Chua systems coupled via a channel with limited capacity.Comment: 7 pages, 6 figures, 27 reference

Personality and well-­being in felids : assessment and applications to captive management and conservation

Research in animal personality has been increasing over the last decade, as scientists realise its importance to a variety of health outcomes. In particular, personality has been shown to have an effect on immune function, stress, infant survival, overall well-being, morbidity, and mortality. Because of this, personality can play an important role in captive management, especially as stress is often a problem for captive animals. Research has already shown that personality affects captive breeding efforts, enclosure grouping, and stress regulation in some species. Only a few studies have focused on felids, but these have shown that there are possible applications for personality in that taxon. Because most felids are endangered, and because many of them face special challenges in captivity due to their size and biology, this work aimed to increase knowledge on felids, using personality as a framework, with implications for captive management as a target. Focusing on five species, I assessed the personality of domestic cats, Scottish wildcats, clouded and snow leopards, and African lions, and the well-being of the four latter species. With the exception of the domestic cat, there has been little to no personality work in these species, and none on well-being. I then compared the data within and among these species. I found three main personality factors among the species, including dimensions I labelled Neuroticism, Dominance, and Impulsiveness, with some differences, including an Agreeableness factor in some species, and elements of Openness. As in other species, well-being was negatively related to Neuroticism in most of the study species. Taking into consideration each species’ biology, natural history, and genetics, I discuss the implications and importance of using these species’ personality and well-being assessments in both captive management and conservation efforts. The results indicate that, like in humans, a targeted, individual approach to care is the best use of personality for captive animals