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Cables are ubiquitous in electronic-based systems. Electromagnetic emission of cables and crosstalk between wires is an important issue in electromagnetic compatibility and is to be minimized in the design phase. To facilitate the design, models of different complexity and accuracy, for instance, circuit models or finite element (FE) simulations, are used. The purpose of this study is to compare transmission line parameters obtained by measurements and simulations.

Transmission line parameters were determined by means of measurements in the frequency and time domain and by FE simulations in the frequency domain and compared. Finally, a Spice simulation with lumped elements was performed.

The determination of the effective permittivity of insulated wires seems to be a key issue in comparing measurements and simulations.

A space decomposition technique for a guided wave on an infinite configuration with constant cross-section has been introduced, where an analytic representation in the direction of propagation is used, and the transversal fields are approximated by FEs.

In Bangladesh, the fertilizer market is the main source of corruption in the agriculture sector. Market imperfection allows the input dealers to extract extra benefit from the market through selling fertilizer at higher than government declared price, and the benefit is positively correlated with market restriction. Bribery or unauthorized payment in the fertilizer market negatively affects farm profit. Empirical evidence shows that restricted fertilizer markets encourage corruption, as bribe-paying farmers can acquire their required fertilizer and thus operate at a higher efficiency level than their counterparts who do not pay bribes. Alternatively, in markets where sufficient supply is available and farmers face liquidity constraints, corruption further restricts farmers to collecting their optimal input bundle and ultimately reduces efficiency. Nepotism and negligence of duty are the two most common form of corruption in the extension service. Along with identifying several key causes of corruption, this article suggests some interventions to combat corruption.

To advance the learning of professional practices in teacher education and medical education, this conceptual paper aims to introduce the idea of representational scaffolding for digital simulations in higher education.

This study outlines the ideas of core practices in two important fields of higher education, namely, teacher and medical education. To facilitate future professionals’ learning of relevant practices, using digital simulations for the approximation of practice offers multiple options for selecting and adjusting representations of practice situations. Adjusting the demands of the learning task in simulations by selecting and modifying representations of practice to match relevant learner characteristics can be characterized as representational scaffolding. Building on research on problem-solving and scientific reasoning, this article identifies leverage points for employing representational scaffolding.

The four suggested sets of representational scaffolds that target relevant features of practice situations in simulations are: informational complexity, typicality, required agency and situation dynamics. Representational scaffolds might be implemented in a strategy for approximating practice that involves the media design, sequencing and adaptation of representational scaffolding.

The outlined conceptualization of representational scaffolding can systematize the design and adaptation of digital simulations in higher education and might contribute to the advancement of future professionals’ learning to further engage in professional practices. This conceptual paper offers a necessary foundation and terminology for approaching related future research.

Undoubtedly, digital transformation is permeating all domains of business and society. We envisage this volume as an opportunity to explore how manifestations of digital transformation require rethinking of our understanding and theorization of institutional processes. To achieve this goal, a collaborative forum of organization and management theory scholars and information systems researchers was developed to enrich and advance institutional theory approaches in understanding digital transformation. This volume’s contributions advance the three institutional perspectives. The first perspective, institutional logics, technological affordances and digital transformation, seeks to deepen our understanding of the pervasive and increasingly important relationship between technology and institutions. The second perspective, digital transformation, professional projects and new institutional agents, explores how existing professions respond to the introduction of digital technologies as well as the emergence of new professional projects and institutional agents in the wake of digital transformation. The third perspective, institutional infrastructure, field governance and digital transformation, inquires how new digital organizational forms, such as platforms, affect institutional fields, their infrastructure and thus their governance. For each of these perspectives, we outline an agenda for future research, complemented by a brief discussion of new research frontiers (i.e., digital work and sites of technological (re-)production; artificial intelligence (AI) and actorhood; digital transformation and grand challenges) and methodological reflections.

The level of trust in a service provider is an important decision factor when buying industrial services. Especially, the outcome uncertainties of services, its individuality, and asymmetric information between buyer and seller are some reasons that the evaluation of trust is a key component in service trading. Consequently, searching of potential new suppliers involves examining providers’ trustworthiness. This paper focuses on the study of online trust signals used by buyers, to assess provider’s trustworthiness in the context of industrial services. The main research objective is to propose the basis for a digital tool, which helps buyers to assess provider’s trustworthiness by providing a “standardized trustworthiness signal description” and “trust functionalities.” A particular approach is used, wherein different methods are mixed such as a case study, expert interviews, and a quantitative method following the guideline of the design science paradigm. The aim is to propose a useful tool for trustworthiness assessment to enhance e-markets for industrial services.

The notion of a computation graph is introduced. A computation graph is a rooted, directed graph whose nodes are labelled by statements (instructions) to be executed. The motivation for developing computation graphs comes from a desire to represent programs by well‐defined, manipulable structures and to permit search (especially backtracking) to be a natural part of the execution of such programs. This initial work considers very simple computation graphs where the only statements that can be executed are assignment statements and tests. Procedure calls, parameter passing, etc. are not considered. The execution rule for computation graphs is based upon search procedures. The computation rule presented permits a computation graph to be executed depth first, breadth first or using a combination of both. This is done by defining functions, which are arguments to the computation rule, to control the traversal of the graph. The use of the rule is illustrated by describing functions to permit the rule to execute the same graph depth first and breadth first.