Solution for elliptic inclusion in an infinite plate with remote loading and Eshelby’s eigenstrain of polynomial type

In this paper, a particular inhomogeneous inclusion problem is studied. In the problem, Eshelby’s eigenstrain takes the type [Formula: see text], where m+ n = 2, and the remote loadings [Formula: see text], [Formula: see text] are applied. In the solution, the complex variable method is used. The continuity conditions along the interface of the matrix and the inclusion are formulated exactly. Because the stress field is no longer uniform in inclusion in this case, the studied problem has an inherent difficulty. After some manipulation, the final result for stress components [Formula: see text], [Formula: see text] and [Formula: see text] in inclusion are obtainable. In the present study, [Formula: see text], [Formula: see text] and [Formula: see text] are no longer uniform.

Hierarchical Bayes modelling of penalty conversion rates of Bundesliga players

Judging by its significant potential to affect the outcome of a game in one single action, the penalty kick is arguably the most important set piece in football. Scientific studies on how the ability to convert a penalty kick is distributed among professional football players are scarce. In this paper, we consider how to rank penalty takers in the German Bundesliga based on historical data from 1963 to 2021. We use Bayesian models that improve inference on ability measures of individual players by imposing structural assumptions on an associated high-dimensional parameter space. These methods prove useful for our application, coping with the inherent difficulty that many players only take few penalties, making purely frequentist inference rather unreliable.

Evolution of inbreeding: a gaze into five Italian beef cattle breeds history

In the last decades, intensive selection programs have led to sustained increases of inbreeding in dairy cattle, a feature that might have adverse consequences on the viability and phenotypic performance of their offspring. This study aimed to determine the evolution of inbreeding of five Italian beef cattle breeds (Marchigiana, Chianina, Romagnola, Maremmana, and Podolica) during a period of almost 20 years (2002–2019). The estimates of Ho, He, Fhat2, and Fped averaged across years (2002–2019) in the studied breeds fluctuated between 0.340–0.401, 0.348–0.392, –0.121–0.072, and 0.000–0.068, respectively. Moreover, annual rates of increase of the estimated inbreeding coefficients have been very low (Fhat2 = 0.01–0.02%; Fped = 0.003–0.004%). The use of a high number of bulls combined with strategies implemented by the Association of Italian Beef Cattle Breeders ANABIC to minimize inbreeding might explain these results. Despite the fact that diversity and inbreeding have remained quite stable during the last two decades, we have detected a sustained decrease of the population effective size of these five breeds. Such results should be interpreted with caution due to the inherent difficulty of estimating Ne from SNPs data in a reliable manner.

A Science So-Called

H.G. Wells’s life extends the radical evolution of psychographics outlined in the Introduction, but his oeuvre also proves the inherent difficulty in aestheticizing the emergent age of social psychology—a point evinced when producer Alexander Korda demanded Wells revise the script version of his 1933 novel The Shape of Things to Come three times to make it “filmable.” While Wells’s novel imagines a peaceable future wherein social psychology becomes the “whole literature, philosophy, and general thought of the world,” the film adaptation instead symbolizes this philosophical transformation by starring a sole philosopher-king who, against the people’s will, seeks to control and colonize the universe. This chapter argues that the conflict between these two Wellsian visions is prefigured by his intimate and conflicted relationship to sociology and group psychology. As early as 1906, Wells sought out the position as the first British chair of sociology at the University of London. But Wells was immediately to become a gadfly in academia: he engaged in scathing critiques of sociology for denying its utopian impulses and refuted theories of group dynamics put forward by Gustave Le Bon and Wilfred Trotter. Incorporating readings across Wells’s literary career—including Anticipations, An Englishman Looks at the World, and In the Days of the Comet—this chapter contends that Wells’s writing captures a life-long effort to reprise the scope of sociology from outside academia, and captures the writer’s foundering efforts to aestheticize the institutional promise of social psychology—efforts that inevitably succumb to Wells’s fetishization of pseudo-authoritarian technocracy.

Simplifying functional network representation and interpretation through causality clustering

Functional networks, i.e. networks representing the interactions between the elements of a complex system and reconstructed from the observed elements’ dynamics, are becoming a fundamental tool to unravel the structures created by the movement of information in systems like the human brain. They also present drawbacks, one of the most important being the inherent difficulty in representing and interpreting the resulting structures for large number of nodes and links. I here propose a causality clustering approach, based on grouping nodes into clusters according to their similarity in the overall information dynamics, the latter one being measured by a causality metric. The whole system can then arbitrarily be simplified, with nodes being grouped in e.g. sources, brokers and sinks of information. The advantages and limitations of the proposed approach are discussed using a set of synthetic and real-world data sets, the latter ones representing two neuroscience and technological problems.

Frank Knight, uncertainty and knowledge spillover entrepreneurship

In his seminal 1921 book, Risk, Uncertainty, and Profit, Frank Knight distinguished uncertainty and risk. This paper applies Knight's concept of uncertainty to knowledge generated in incumbent organizations to explain the inherent difficulty in assessing potential innovations along with the key role played by knowledge spillover entrepreneurship as a conduit for transforming new knowledge created by an incumbent organization but ultimately commercialized through the creation of a new firm and innovation. Knowledge is inherently uncertain and constitutes what is characterized as the knowledge filter impeding innovative activity in the context of incumbent firms and organizations. The organizational and institutional context and market uncertainty can either facilitate or impede the spillover of knowledge from the firm where it was created to the entrepreneurial startup where it is transformed into innovation. The empirical evidence based on a large, unbalanced panel of 9,126 UK firms constructed from six consecutive waves of a community innovation survey and annual business registry survey during 2002–2014. Implications for managers, scholars, and policymakers are provided.

Talking it better: conversations and normative complexity in healthcare improvement

In this paper, we consider the role of conversations in contributing to healthcare quality improvement. More specifically, we suggest that conversations can be important in responding to what we call ‘normative complexity’. As well as reflecting on the value of conversations, the aim is to introduce the dimension of normative complexity as something that requires theoretical and practical attention alongside the more recognised challenges of complex systems, which we label, for short, as ‘explanatory complexity’. In brief, normative complexity relates to the inherent difficulty of deciding what kinds of changes are ‘improvements’ or, more broadly, what is valuable in healthcare. We suggest that explanatory and normative complexity intersect and that anyone interested in healthcare improvement needs to be sensitive to both. After briefly introducing the idea of normative complexity, we consider some contrasting examples of conversations, reflecting on how they do and might contribute to healthcare quality. We discuss both conversations that are deliberately organised and facilitated (‘orchestrated conversations’) and more informally occurring and routine conversations. In the first half of the paper, we draw on some examples of orchestrated and routine conversations to open up these issues. In the second half of the paper, we bring some more theoretical lenses to bear on both conversations and normative complexity, summarise what we take to be the value of conversations and draw together some of the implications of our discussion. In summary, we argue that conversations can play a crucial role in negotiating the normative complexity of healthcare quality improvement because of their capacity to hold together a plurality of perspectives, to contribute and respond to emergence and to help underpin institutional conditions for empathy and imagination.

CryoEM structure of the antibacterial target PBP1b at 3.3 Å resolution

The pathway for the biosynthesis of the bacterial cell wall is one of the most prolific antibiotic targets, exemplified by the widespread use of β-lactam antibiotics. Despite this, our structural understanding of class A penicillin binding proteins, which perform the last two steps in this pathway, is incomplete due to the inherent difficulty in their crystallization and the complexity of their substrates. Here, we determine the near atomic resolution structure of the 83 kDa class A PBP from Escherichia coli, PBP1b, using cryogenic electron microscopy and a styrene maleic acid anhydride membrane mimetic. PBP1b, in its apo form, is seen to exhibit a distinct conformation in comparison to Moenomycin-bound crystal structures. The work herein paves the way for the use of cryoEM in structure-guided antibiotic development for this notoriously difficult to crystalize class of proteins and their complex substrates.

Switched Capacitor DC-DC Converters: A Survey on the Main Topologies, Design Characteristics, and Applications

This work presents a review of the main topologies of switched capacitors (SCs) used in DC-DC power conversion. Initially, the basic configurations are analyzed, that is, voltage doubler, series-parallel, Dickson, Fibonacci, and ladder. Some aspects regarding the choice of semiconductors and capacitors used in the circuits are addressed, as well their impact on the converter behavior. The operation of the structures in terms of full charge, partial charge, and no charge conditions is investigated. It is worth mentioning that these aspects directly influence the converter design and performance in terms of efficiency. Since voltage regulation is an inherent difficulty with SC converters, some control methods are presented for this purpose. Finally, some practical applications and the possibility of designing DC-DC converters for higher power levels are analyzed.

Explainable AI for Workflow Verification in VIPLE

Teaching students the concepts behind computational thinking is a difficult task, often gated by the inherent difficulty of programming languages. In the classroom, teaching assistants may be required to interact with students to help them learn the material. Time spent in grading and offering feedback on assignments removes from this time to help students directly. As such, we offer a framework for developing an explainable Artificial Intelligence that performs automated analysis of student code while offering feedback and partial credit. The creation of this system is dependent on three core components. Those components are a knowledge base, a set of conditions to be analyzed, and a formal set of inference rules. In this paper, we develop such a system for our own language by employing Pi-Calculus and Hoare Logic. Our detailed system can also perform self-learning of rules. Given solution files, the system is able to extract the important aspects of the program and develop feedback that explicitly details the errors students make when they veer away from these aspects. The level of detail and expected precision can be easily modified through parameter tuning and variety in sample solutions.