Jugular foramen and venous collaterals may help to discriminate congenital from post-thrombotic jugular stenosis

Purpose Unilateral jugular stenosis is easily mistaken as jugular hypoplasia for their similar jugular appearances. This study aimed to propose a scheme to differentiate acquired internal jugular vein stenosis (IJVS) from congenital jugular variation through two case examples. Methods We presented a dynamic evolution process of the IJVS formation, through a case of a 17-year-old female with paroxysmal nocturnal hemoglobinuria (PNH)-associated right internal jugular venous thrombosis (IJVT), which resulted in post-thrombotic IJVS in the rare context of rapid recanalization. Meanwhile, we compared her images with images of a 39-year-old healthy male with hypoplastic IJV to determine the differences between the acquired IJVS and congenital dysplasia. Results Based on the first case, we noticed the whole formative process of acquired IJVS from nothing to something. Meantime, we found that acquired IJVS was surrounded by abnormal corkscrew collaterals as imaged on contrast-enhanced magnetic resonance venography (CE-MRV), and the ipsilateral jugular foramen (JF) was normal-sized as displayed on computer tomography (CT). Conversely, jugular hypoplasia was with ipsilateral stenotic JF and without serpentine collaterals. Conclusion JF morphology and venous collaterals may be deemed as surrogate identifiers to distinguish acquired unilateral IJVS from jugular hypoplasia.

Remote Monitoring of Patient- and Family-Generated Health Data in Pediatrics

Remote patient monitoring (RPM) is a form of telemedicine that involves the collection and transmission of health data from a patient to their health care team by using digital health technologies. RPM can be leveraged to aggregate and visualize longitudinal patient-generated health data for proactive clinical management and engagement of the patient and family in a child’s health care. Collection of remote data has been considered standard of care for years in some chronic pediatric conditions. However, software limitations, gaps in access to the Internet and technology devices, digital literacy, insufficient reimbursement, and other challenges have prevented expansion of RPM in pediatric medicine on a wide scale. Recent technological advances in remote devices and software, coupled with a shift toward virtual models of care, have created a need to better understand how RPM can be leveraged in pediatrics to improve the health of more children, especially for children with special health care needs who are reliant on high-quality chronic disease management. In this article, we define RPM for the general pediatric health care provider audience, provide case examples of existing RPM models, discuss advantages of and limitations to RPM (including how data are collected, evaluated, and managed), and provide a list of current RPM resources for clinical practitioners. Finally, we propose considerations for expansion of this health care delivery approach for children, including clinical infrastructure, equitable access to digital health care, and necessary reimbursement. The overarching goal is to advance health for children by adapting RPM technologies as appropriate and beneficial for patients, families, and providers alike.

Defining the Maturity Levels for Implementing Industrial Logistics Practices in Construction

Logistics practices are processes that require alignment and coordination among project actors to support successful construction operations. While recent research has underlined the effects of single material logistics practices on project performance, practitioners need more knowledge on development paths toward successful overall logistics solutions. Based on a review of current practices obtained from the literature, this research proposes the maturity levels of planning, organizing, operating, use of technology, and information flow regarding the logistics practices in construction. Moreover, the study devises a recommended order for implementing logistics practices and investigates how companies can advance their logistics maturity from one level to the next. The proposed model has been validated via case examples from the industry. The paper contributes to construction logistics research by describing how companies can navigate development efforts to gradually improve their logistics practices. Future research could conduct more case studies within different project contexts.

Learning how to search: generating effective test cases through adaptive fitness function selection

Search-based test generation is guided by feedback from one or more fitness functions—scoring functions that judge solution optimality. Choosing informative fitness functions is crucial to meeting the goals of a tester. Unfortunately, many goals—such as forcing the class-under-test to throw exceptions, increasing test suite diversity, and attaining Strong Mutation Coverage—do not have effective fitness function formulations. We propose that meeting such goals requires treating fitness function identification as a secondary optimization step. An adaptive algorithm that can vary the selection of fitness functions could adjust its selection throughout the generation process to maximize goal attainment, based on the current population of test suites. To test this hypothesis, we have implemented two reinforcement learning algorithms in the EvoSuite unit test generation framework, and used these algorithms to dynamically set the fitness functions used during generation for the three goals identified above. We have evaluated our framework, EvoSuiteFIT, on a set of Java case examples. EvoSuiteFIT techniques attain significant improvements for two of the three goals, and show limited improvements on the third when the number of generations of evolution is fixed. Additionally, for two of the three goals, EvoSuiteFIT detects faults missed by the other techniques. The ability to adjust fitness functions allows strategic choices that efficiently produce more effective test suites, and examining these choices offers insight into how to attain our testing goals. We find that adaptive fitness function selection is a powerful technique to apply when an effective fitness function does not already exist for achieving a testing goal.

Rethinking employability: how students build on interest in a subject to plan a career

As universities prioritise employability, there is increased attention to promoting students’ career decidedness. In this mixed method, cross-sectional study, we explore whether and how students’ interest in their academic subject affects their career decidedness. Using surveys of 428 undergraduates studying sciences in a UK university (60% F, average age = 19.9) and case examples from follow-up interviews with 15 students, we examine students’ interest development and its relation to their career decidedness and their desire for meaningful, interesting work. Findings showed that most students who were studying science in university had a well-developed interest that had motivated their choice of programme, and their subject interest and career decidedness were linked. Regression analyses indicated that students’ interest in their subject was a significant predictor of career decidedness, mediated by students’ desire to pursue that interest in their career. Open-ended comments on the surveys suggested that decidedness was informed by coursework, proactive career exploration, work experience, interest, feasibility, and familial contacts. Interviews confirmed these factors and illustrated how they contributed to students’ career decidedness. We propose implications for academics and career counsellors who might help students refine their interest by considering connections between their academic subject, interest, and related career options. We argue that educators and policy-makers need to reframe employability interventions and think beyond teaching students skills or attributes that lead to employment. Educators can start with students’ interest in their subject and support students’ exploration of how they can continue to pursue that interest in various careers.

Logical Fallacies and Misinterpretations that Hinder Progress in Translational Addiction Neuroscience

Substance use disorders (SUDs) are heterogenous and complex, making the development of translationally predictive rodent and non-human primate models to uncover their neurobehavioral underpinnings difficult. Neuroscience-focused outcomes have become highly prevalent, and with this, the notion that SUDs are disorders of the brain embraced as a dominant theoretical orientation to understand SUD etiology and treatment. These efforts, however, have led to few efficacious pharmacotherapies, and in some cases (as with cocaine or methamphetamine), no pharmacotherapies have translated from preclinical models for clinical use. In this review and theoretical commentary, we first describe the development of animal models of SUDs from a historical perspective. We then define and discuss three logical fallacies including 1) circular explanation, 2) affirming the consequent, and 3) reification that can apply to developed models. We then provide three case examples in which conceptual or logical issues exist in common methods (i.e., behavioral economic demand, escalation, and reinstatement). Alternative strategies to refocus behavioral models are suggested for the field in an attempt to better bridge the translational divide between animal models and the clinical condition of SUDs.

Australian Uniform Evidence Law

Now in its second edition, Australian Uniform Evidence Law provides a clear, accessible introduction to the law of evidence. Following the structure of the Evidence Act 1995 (Cth), the text introduces students to basic principles, then covers more complex elements of evidence law. Cases and excerpts from legislation have been selected to guide students through the application of the Act. This edition has been updated to include significant recent case examples and decisions. Each chapter includes a summary of key points, definitions and practice questions to encourage students to apply their knowledge to realistic scenarios. The final chapter comprises longer-form, complex problems designed to test students' understanding of the concepts and rules covered in the Act as a whole. Guided solutions to each question are provided so students can check their understanding. Providing clear explanations and examples, Australian Uniform Evidence Law is an essential resource for all students of evidence law.

Conceptual confusing similarity and pictorial trade marks

Several high-profile rebrands, including those by Twitter and Starbucks, have involved removing text from logos. This move towards wordless, pictorial trade marks raises a difficult question about how the scope of protection of a registered trade mark should be determined. This article examines the particular issue of how much weight should be given to the idea or concept underlying a pictorial mark when assessing whether a defendant’s junior mark is ‘confusingly similar’. Drawing on legal principles and case examples from Europe, the United Kingdom, Singapore and New Zealand, it is claimed that courts and adjudicators should be careful not to overweight conceptual similarity. It is argued that a lack of care in assessing conceptual similarity risks awarding one trader overbroad protection, which may be tantamount to conferring on one trader a monopoly in an idea. A lack of care may also undermine the logic of a registration system by untethering protection from what is recorded on the Register, and may make trade mark law less predictable and certain. * The author declares that he was junior counsel in a case discussed in this article, Carabao Tawandang Co Ltd v Red Bull GmbH HC Wellington CIV-2005-485-1975, 31 August 2006. The views represented in this article are the author’s own, and do not reflect the views of his employer at the time, or the views of the client represented in that particular case.

The Internet of Things in the Corporate Environment

The Internet of Things (IoT) is formed by a set of physical objects with embedded sensors, connected using a network so that they can collect and exchange data. Though the concept looks simple, its deployment in industry has enormous potential to bring major business benefits and radical change. This chapter examines IoT technology and how it is being used in the corporate environment. Based on a review of existing literature and case examples, the various definitions and elements of IoT are discussed, followed by an assessment of how IoT is being used and what benefits are being delivered. Some key emergent themes are then examined – security aspects, the significance of 5G networks, and the need for an IoT strategy and project implementation guidelines. The chapter concludes by outlining possible areas for future research and suggests a step-change in the mega-infrastructure connecting IoT devices is imminent.