bluuebunny/crossref_metadata_2025_split huggingface dataset:
Model-Driven Edge Analytics: Practical Use Cases in Smart Manufacturing
Authors: Guevara Ivan , Chaudhary Hafiz Ahmad Awais , Margaria Tiziana 
Published: October 2022

AbstractIn the Internet of Things (IoT) era, devices and systems generate enormous amounts of real-time data, and demand real-time analytics in an uninterrupted manner. The typical solution, a cloud-centred architecture providing an analytics service, cannot guarantee real-time responsiveness because of unpredictable workloads and network congestion. Recently, edge computing has been proposed as a solution to reduce latency in critical systems. For computation processing and analytics on edge, the challenges include handling the heterogeneity of devices and data, and achieving processing on the edge in order to reduce the amount of data transmitted over the network.In this paper, we show how low-code, model-driven approaches benefit a Digital Platform for Edge analytics. The first solution uses EdgeX, an IIoT framework for supporting heterogeneous architectures with the eKuiper rule-based engine. The engine schedules fully automatically tasks that retrieve data from the Edge, as the infrastructure near the data is generated, allowing us to create a continuous flow of information. The second solution uses FiWARE, an IIoT framework used in industry, using IoT agents to accomplish a pipeline for edge analytics. In our architecture, based on the DIME LC/NC Integrated Modelling Environment, both integrations of EdgeX/eKuyper and FiWARE happen by adding an External Native DSL to this Digital Platform. The DSL comprises a family of reusable Service-Independent Building blocks (SIBs), which are the essential modelling entities and (service) execution capabilities in the architecture’s modelling layer. They provide users with capabilities to connect, control and organise devices and components, and develop custom workflows in a simple drag and drop manner.
Vegetation Changes Following Large-scale Fence Removal Across a Protected Area Network Within the Kruger to Canyons Biosphere Reserve, South Africa
Authors: Linden Ellie , Rittenhouse Chadwick D. , Peel Michael J. S. , Ortega Isaac M. , Smit Izak P. J. 
Published: October 2022

AbstractIn the early 1990’s, reserves adjacent to Kruger National Park (KNP) removed their fences to create a continuous landscape within the Kruger to Canyons Biosphere Reserve. Understanding how these interconnected multi-management systems responded to changes in environmental factors and management regimes can help to maintain natural large-scale landscape heterogeneity and ecological resilience. Our objective was to analyze remote sensing-derived vegetation metric changes between the different management types pre- and post-fence removal. The study area included fourteen reserves and the central section of KNP. We calculated the residuals between TIMESAT-derived metrics (from AVHRR NDVI time series) and rainfall to analyze changes in vegetation from 1985 to 2006. We then compared vegetation-rainfall residuals between different management types pre- and post-fence removal using mean–variance plots, nonmetric multidimensional scaling plots, and permutational multivariate analysis of variance to statistically identify and analyze changes. All management types experienced increased greenness. Reserves that removed their fences had greater changes in vegetation post-fence removal compared to reserves that remained fenced and KNP. Our findings suggest managers may need to address landscape changes by implementing management regimes such as reducing artificial surface water to counterbalance increased grazing pressure as a result of increased animal mobility across artificially created resource gradients. Habitat connectivity within and between protected area networks can be achieved by removing fences across adjacent conservation areas thus potentially increasing ecological resilience, which is vital to effective long-term conservation.
Deep multiagent reinforcement learning: challenges and directions
Authors: Wong Annie , Bäck Thomas , Kononova Anna V. , Plaat Aske 
Published: October 2022

AbstractThis paper surveys the field of deep multiagent reinforcement learning (RL). The combination of deep neural networks with RL has gained increased traction in recent years and is slowly shifting the focus from single-agent to multiagent environments. Dealing with multiple agents is inherently more complex as (a) the future rewards depend on multiple players’ joint actions and (b) the computational complexity increases. We present the most common multiagent problem representations and their main challenges, and identify five research areas that address one or more of these challenges: centralised training and decentralised execution, opponent modelling, communication, efficient coordination, and reward shaping. We find that many computational studies rely on unrealistic assumptions or are not generalisable to other settings; they struggle to overcome the curse of dimensionality or nonstationarity. Approaches from psychology and sociology capture promising relevant behaviours, such as communication and coordination, to help agents achieve better performance in multiagent settings. We suggest that, for multiagent RL to be successful, future research should address these challenges with an interdisciplinary approach to open up new possibilities in multiagent RL.
Load balancing in a network of queueing-inventory systems
Authors: Otten Sonja 
Published: October 2022

AbstractWe study a supply chain consisting of production-inventory systems at several locations which are coupled by a common supplier. Demand of customers arrives at each production system according to a Poisson process and is lost if the local inventory is depleted (“lost sales”). To satisfy a customer’s demand a server at the production system needs raw material from the associated local inventory. The supplier manufactures raw material to replenish the local inventories, which are controlled by a continuous review base stock policy. The routing of items depends on the on-hand inventory at the locations with the aim to obtain “load balancing”. We show that the stationary distribution has a product form of the marginal distributions of the production subsystem and the inventory-replenishment subsystem. For the marginal distribution of the production subsystem we derive an explicit solution and for the marginal distribution of the inventory-replenishment subsystem we deduce an explicit solution or a recursive algorithm for some special cases.
The Stroop Task Sex Difference: Evolved Inhibition or Color Naming?
Authors: Sjoberg Espen A. , Wilner Raquel G. , D’Souza Antonia , Cole Geoff G. 
Published: October 2022

AbstractPrevious research shows that women outperform men in the classic Stroop task, but it is not known why this difference occurs. There are currently two main hypotheses: (1) women have enhanced verbal abilities, and (2) women show greater inhibition. In two Stroop experiments, we examined the Inhibition hypothesis by adopting a procedure, often used in visual cognition paradigms, that induces a particular inhibitory component. So-called Negative Priming occurs when a distracting non-target stimulus on one trial becomes the target on the following trial. Results from our experiments showed that the degree to which this type of inhibition occurs within the Stroop effect is no different for men and women. This was the case irrespective of whether participants made a vocal response (Experiment 1; n = 64, 32 men and 32 women) or a manual response (Experiment 2; n = 64, 32 men and 32 women). These results do not therefore support the Inhibition hypothesis. We additionally review findings from a range of paradigms that can be seen as indexing the different components required for the Stroop task (e.g., distractor suppression). This review suggests that the sex effect is due to superior color naming ability in women.
The Role of School Connectedness and Friend Contact in Adolescent Loneliness, and Implications for Physical Health
Authors: Zheng Yixuan , Panayiotou Margarita , Currie Dorothy , Yang Keming , Bagnall Charlotte , Qualter Pamela , Inchley Joanna 
Published: October 2022

AbstractThe current study investigated how adolescents’ loneliness relates to school connectedness, classmate support, teacher support, and offline and online communication with friends. We also examined the association between loneliness, physical health, and sleep. Data came from the Scottish Health Behavior in School-aged Children (HBSC). The total sample was 2983 adolescents (F = 1479 [49.6%]) aged 14–17 years (M = 15.66, SD = 0.39) from 117 secondary schools in Scotland. Results showed that (1) higher teacher support, classmate support, and offline contact with friends predicted lower levels of loneliness, (2) online friendship engagement predicted higher levels of loneliness, and (3) poor health and sleep were positively associated with loneliness. The study offers new findings, highlighting the role played by classmates/peers and teachers in reducing loneliness. Supporting previous research, we also found associations between loneliness, poor sleep, and worse physical health.
The Adultification of Black Girls as Identity-Prejudicial Credibility Excess
Authors: Carpan Catalina 
Published: October 2022

AbstractOn Miranda Fricker’s influential account, the central case of testimonial injustice occurs if and only if the speaker receives a credibility deficit owing to identity prejudice of the hearer. Her critics have taken issue with her view, arguing that cases in which speakers are given more credibility than they deserve, may also amount to testimonial injustice. Furthermore, they argue, these cases cannot be captured by Fricker’s account of objectification as the primary epistemic harm of testimonial injustice; rather, it is an account of othering that best captures a wide range of epistemic injustices. In this paper, I join Fricker’s critics in advancing a novel case of testimonial injustice through identity-prejudicial credibility excess – the adultification of black girls in testimony-giving settings. When testifying, black girls are likely to receive a credibility excess with respect to adult topics such as sex and consent because they are perceived as older, more self-reliable, and mature than they actually are by the hearers. Nevertheless, when examining the girls’ intersecting social identities defined by age, race and gender, it becomes clear that this constitutes an unjustly and prejudicially inflated estimation of their credibility. These cases also involve hermeneutical injustice since the identity-prejudicial credibility excess denies the victims a meaningful opportunity to make sense of their traumatic experiences of sexual assault. I conceptualize this compounded injustice as testimonial obfuscation, where an identity-prejudicial credibility evaluation (either in excess or deficit) causes an experience to remain unintelligible to the hermeneutically marginalized speaker.
Inbreeding affects juvenile shoaling behaviour in sibling groups of a cichlid fish
Authors: Vitt Simon , Schons Rieke F. , Keller Alexander J. R. , Thünken Timo 
Published: October 2022

AbstractWhilst the effects of inbreeding on growth and survival have been well studied, knowledge on the impact of inbreeding on the social behaviour is scarce. Animal groups are often composed of relatives, which can facilitate cooperation (due to kin selection) and improve group performance accordingly. Therefore, increased genetic relatedness in inbred kin groups could increase group performance, whilst the reduced genetic diversity could have negative effects (inbreeding depression). We compared the juvenile shoaling behaviour of inbred and outbred sibling groups inPelvicachromis taeniatus(Boulenger 1901), a West-African cichlid fish with kin mating preferences. Activity (travelled distance), shoal density (inter-individual distance) and recovery from a disturbance (freezing time) in a novel environment were analysed using tracking software. Inbred individuals travelled shorter distances compared to outbred individuals, which may decrease conspicuousness and thus predation risk. Furthermore, inbred sibling groups recovered faster after the disturbance compared to outbred sibling groups suggesting improved coordination. In conclusion, our study revealed differences in shoaling between inbred and outbred sibling groups. The higher relatedness in inbred groups may have positive effects in the form of a reduced conspicuousness. The reduced activity may impair foraging success under natural conditions which might, however, be compensated by faster recovery from disturbances.
Deontic Paradoxes in Mīmāṃsā Logics: There and Back Again
Authors: van Berkel Kees , Ciabattoni Agata , Freschi Elisa , Gulisano Francesca , Olszewski Maya 
Published: October 2022

AbstractCentered around the analysis of the prescriptive portion of the Vedas, the Sanskrit philosophical school of Mīmāṃsā provides a treasure trove of normative investigations. We focus on the leading Mīmāṃsā authors Prabhākara, Kumārila and Maṇḍana, and discuss three modal logics that formalize their deontic theories. In the first part of this paper, we use logic to analyze, compare and clarify the various solutions to the śyena controversy, a two-thousand-year-old problem arising from seemingly conflicting commands in the Vedas. In the second part, the formalized Mīmāṃsā theories are analyzed and employed to provide alternative perspectives on well-known paradoxes from the contemporary field of deontic logic. Thus, we go from logic to Mīmāṃsā and back again.
Evaluating ordinal inequalities between groups
Authors: Cuhadaroglu Tugce 
Published: October 2022

AbstractWe explore the inequality measurement of a discrete ordinal variable between social groups. We provide an axiomatic characterization for the Net Difference Index (Lieberson: Sociol. Methodol.7, 276–291 1976), that makes use of rank-domination to evaluate the discrepancy between the distributions of two social groups over ordered categories. Adapting well-known principles of cardinal inequality measurement to the between-group ordinal inequality setting, we show that the Net Difference Index mimics the Gini Index in terms of its relationship to the Lorenz curve, in our setting.
The geography of the continuum of entrepreneurship activities—a first glance based on German data
Authors: Wolff Sven , Guenther Christina , Moog Petra , Audretsch David B. 
Published: October 2022

AbstractThe characterization of how entrepreneurial a region or country is, has generally been shaped by a narrow view of what actually constitutes entrepreneurship. In the case of Germany, this has led to a characterization of Germany as not being particularly entrepreneurial. Such a view is at odds with the remarkable, high-performing family business, widely held to be the backbone of the economy. The purpose of this paper is to suggest that the interpretation prevalent in entrepreneurship literature is problematic due to a too narrow operationalization of the entrepreneurship concept. As Zahra (2007; 2014) emphasized, context matters for entrepreneurship, especially on a local or spatial level. One particular organizational manifestation of entrepreneurship, family business, may be congruent in specific spatial and institutional contexts but not in others. Other geographic and institutional contexts may be congruent with the contrasting startups. Thus, an important and novel contribution of this paper is to analyze the geography of family business as distinct from startups: two ends of the entrepreneurship continuum, embedded in different kinds of entrepreneurial ecosystems. We generate innovative maps working with official data, showing the distinct distribution of both kinds of entrepreneurship in different ecosystems. These findings are connected with spatial effects, living conditions and lead to recommendations for policy measures. The paper focuses on Germany, because startups as well as family business are prevalent and can be found in all regions.
An Arnoldi-based preconditioner for iterated Tikhonov regularization
Authors: Buccini Alessandro , Onisk Lucas , Reichel Lothar 
Published: October 2022

AbstractMany problems in science and engineering give rise to linear systems of equations that are commonly referred to as large-scale linear discrete ill-posed problems. These problems arise, for instance, from the discretization of Fredholm integral equations of the first kind. The matrices that define these problems are typically severely ill-conditioned and may be rank-deficient. Because of this, the solution of linear discrete ill-posed problems may not exist or be very sensitive to perturbations caused by errors in the available data. These difficulties can be reduced by applying Tikhonov regularization. We describe a novel “approximate Tikhonov regularization method” based on constructing a low-rank approximation of the matrix in the linear discrete ill-posed problem by carrying out a few steps of the Arnoldi process. The iterative method so defined is transpose-free. Our work is inspired by a scheme by Donatelli and Hanke, whose approximate Tikhonov regularization method seeks to approximate a severely ill-conditioned block-Toeplitz matrix with Toeplitz-blocks by a block-circulant matrix with circulant-blocks. Computed examples illustrate the performance of our proposed iterative regularization method.
Assessing performance of empirical models for forecasting crop responses to variable fertilizer rates using on-farm precision experimentation
Authors: Hegedus Paul B. , Maxwell Bruce D. , Mieno Taro 
Published: October 2022

AbstractData-driven decision making in agriculture can be augmented by utilizing the data gathered from precision agriculture technologies to make the most informed decisions that consider spatiotemporal specificity. Decision support systems utilize underlying models of crop responses to generate management recommendations, yet there is uncertainty in the literature on the best model forms to characterize crop responses to agricultural inputs likely due for the most part to the variability in crop responses to input rates between fields and across years. Seven fields with at least three years of on-farm experimentation, in which nitrogen fertilizer rates were varied across the fields, were used to compare the ability of five different model types to forecast crop responses and net-returns in a year unseen by the model. All five model types were fit for each field using all permutations of the three years of data where two years were used for training and a third was held out to represent a “future” year. The five models tested were a frequentist based non-linear sigmoid function, a generalized additive model, a non-linear Bayesian regression model, a Bayesian multiple linear regression model and a random forest regression model. The random forest regression typically resulted in the most accurate forecasts of crop responses and net-returns across most fields. However, in some cases the model type that produced the most accurate forecast of grain yield was not the same as the model producing the most accurate forecast of grain protein concentration. Models performed best when the data used for training models was collected from years with similar weather conditions to the forecasted year. The results are important to developers of decision support tools because the underlying models used to simulate management outcomes and calculate net-returns need to be selected with consideration for the spatiotemporal specificity of the data available.
Experience of Recently Graduated Occupational Therapists in Addressing Sexuality with Their Clients
Authors: Spaseska Claudia , Lynch Claire , Joosten Annette , Josefsson Kristina Areskoug 
Published: October 2022

AbstractHealth care consumers have emphasised the importance of being able to express themselves in a sexual nature, regardless of their health conditions. Unfortunately, literature based on experienced occupational therapists and students, indicates sexuality is poorly addressed, despite being a meaningful occupation. There is limited literature based on Australian experiences or the experiences of recent graduates, therefore this study aimed to explore how comfortable and prepared 11 recent graduates who studied in Australia, were in addressing sexuality, as well as the enablers and challenges experienced. A qualitative research design was utilized, with results demonstrating that undergraduate curricula are not adequately preparing new graduates to feel equipped with the knowledge, skills, comfort and preparedness to address sexuality. Enablers such as education, professional development and supportive workplaces, can aid to facilitate positive change in this area of practice, which may improve client outcomes.
The Evolution of Paleo-Porosity in Basalts: Reversing Pore-Filling Mechanisms Using X-Ray Computed Tomography
Authors: Macente A. , Dobson K. J. , MacDonald J. , Wadsworth F. B. , Vasseur J. 
Published: October 2022

AbstractOften carrying a high-volume fraction of vesicles, basaltic rocks can be an important reservoir horizon in petroleum systems, and are considered an excellent candidate for CO2 storage by in situ mineral trapping. The frequency of amygdaloidal basalts in many sequences highlights the prevalence of mineralisation, but when the vesicle network has been filled, the basalts can act as impermeable seals and traps. Characterising the spatial and temporal evolution of the porosity and permeability is critical to understanding the petro-physical properties and CO2 storage potential of basalts. We exploit X-ray computed tomography (XCT) to investigate the precipitation history of an amygdaloidal basalt containing a pore-connecting micro fracture network now partially filled by calcite as an analogue for CO2 mineral trapping in a vesicular basalt. The fracture network likely represents a preferential pathway for CO2-rich fluids during mineralisation. We investigate and quantify the evolution of basalt porosity and permeability during pore-filling calcite precipitation by applying novel numerical erosion techniques to “back-strip” the calcite from the amygdales and fracture networks. We provide a semi-quantitative technique for defining reservoir potential and quality through time and understanding sub-surface flow and storage. We found that permeability evolution is dependent on the precipitation mechanism and rates, as well as on the presence of micro fracture networks, and that once the precipitation is sufficient to close off all pores, permeability reaches values that are controlled by the micro fracture network. These results prompt further studies to determine CO2 mineral trapping mechanisms in amygdaloidal basalts as analogues for CO2 injections in basalt formations.