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Value of Seismic Structural Health Monitoring Information for Management of Civil Structures Under Different Prior Knowledge Scenarios

Seismic Structural Health Monitoring (S2HM) provides information about the integrity of civil structures and infrastructure in the aftermath of an earthquake. However, quantifying the benefits of S2HM information is crucial to justify the investment in S2HM systems. The benefit of S2HM can be computed through the Value of Information (VoI) from Bayesian decision theory, which compares the expected

Knowledge Management: an Open Systems Approach

Nowadays, organizations pursue their aims in a context of distributed collaboration, creating a need not only for supporting ICT systems, but for a hu-man-centred focus in which individual and group sense-making and learning are supported by appropriate toolsets. We argue that development of such toolsets re-quires an open systems approach. This paper discusses one example: non-competitive benchma

Test Scheduling for 3D Stacked ICs under Power Constraints

This paper addresses Test Application Time (TAT) reduction for core-based 3D Stacked ICs (SICs). Applying traditional test scheduling methods used for non-stacked chip testing where the same test schedule is applied both at wafer test and at final test to SICs, leads to unnecessarily high TAT. This is because the final test of 3D-SICs includes the testing of all the stacked chips. A key challenge

Visuo-Locomotive Complexity as a Component of Parametric Design for Architecture : 8th International Conference on Research into Design (ICoRD 2021, Online Conference), IDC School of Design, IIT Bombay, Mumbai, India, January 7-10, 2021

A people-centred approach for designing large-scale built-up spaces necessitates systematic anticipation of user’s embodied visuo-locomotive experience from the viewpoint of human-environment interaction factors pertaining to aspects such as navigation, wayfinding, usability. In this context, we develop a behaviour-based visuo-locomotive complexity model that functions as a key correlate of cognit

MHC class II genotype-by-pathogen genotype interaction for infection prevalence in a natural rodent-Borrelia system

MHC genes are extraordinarily polymorphic in most taxa. Host-pathogen coevolution driven by negative frequency-dependent selection (NFDS) is one of the main hypotheses for the maintenance of such immunogenetic variation. Here, we test a critical but rarely tested assumption of this hypothesis—that MHC alleles affect resistance/susceptibility to a pathogen in a strain-specific way, that is, there i

A pilot study of methods for prediction of poor outcome by head computed tomography after cardiac arrest

Introduction: In Sweden, head computed tomography (CT) is commonly used for prediction of neurological outcome after cardiac arrest, as recommended by guidelines. We compare the prognostic ability and interrater variability of routine and novel CT methods for prediction of poor outcome. Methods: Retrospective study including patients from Swedish sites within the Target Temperature Management afte

Measuring asthma control: a comparison of three classification systems

There are various ways to classify asthma control; however, no classification is universally accepted. This retrospective analysis compared asthma control as assessed by the Asthma Control Questionnaire (5-item version; ACQ-5), Global Initiative for Asthma (GINA) or Gaining Optimal Asthma Control (GOAL) study criteria. Pooled data at the final study week (n=8,188) from three budesonide/formoterol

Conquering Complex and Changing Systems through Recognition of Individual Uniqueness

From the point of view of each individual’s sense-making, an organization is an emergent property of inter-individual sense-making processes and activities. The organization is a result of emergence from individual sense-making perspectives. A critically informed approach to research involves recognition / understanding of this emergence. Without the recognition of the uniqueness of each particula

Phenomenological perspectives in IS: lessons learnt from Claudio Cibbora.

In the course of his life’s work, Claudio Ciborra addressed many interesting and complex problem areas of information systems, from management of corporate information infrastructures to organizational learning. However, a unifying theme which permeated his work was an emphasis on recognizing ‘users’ as real human beings, not idealised types. He considered people, leading real, every-day lives; no

Individual unmet needs for care: are they sensitive as outcome criterion for the effectiveness of mental health services interventions?

Background Mental health interventions should demonstrate an effect on patients' functioning as well as his/her needs, in particular on unmet needs whose assessment depends on the perspective of either the patient or the clinician. However, individual met and unmet needs appear to change over time, qualitatively and quantitatively, raising questions about their sensitivity to change and about the

Phosphatidylinositol 4-kinase serves as a metabolic sensor and regulates priming of secretory granules in pancreatic beta cells

Insulin secretion is controlled by the beta cell's metabolic state, and the ability of the secretory granules to undergo exocytosis increases during glucose stimulation in a membrane potential-independent fashion. Here, we demonstrate that exocytosis of insulin-containing secretory granules depends on phosphatidylinositol 4-kinase (PI 4-kinase) activity and that inhibition of this enzyme suppresse

ISO/OSI compliant network-on-chip implementation for CNN applications

The paper investigates the potential for a packet switching network for real-time image processing by a Cellular Neural Network (CNN) implemented on a Field-Programmable Gate-Array (FPGA). The implementation of a CNN requires several parameter restrictions with respect to the universal concept. For instance, the number representation and the cloning template are often confined to respectively 8 bi

Blanket Retention of Electronic Communications Traffic Data and the Right to Respect for Private Life - Sweden in Focus

Detta examensarbete rör direktiv 2006/46/EG och dess överensstämmelse med den europeiska konventionen om skydd för de mänskliga rättigheterna och de grundläggande friheterna. Examensarbetet använder Sverige som ett exempel, och analyserar främst lagen (2003:389) om elektronisk kommunikation och dess tillkortakommanden vad gäller brottsbekämpande myndigheters tillgång till lagrade trafikuppgifter. This thesis concerns Directive 2006/46/EC and its compliance with the European Convention on Human Rights and Fundamental Freedoms. The thesis uses Sweden as an example, and mainly analyses the shortcomings in Swedish legislation on how traffic data may be accessed by law enforcement authorities, finding that the regulations under the Swedish Electronic Communications Act breaches Article 8 and 13

Cyclin A Is a Proliferative Marker with Good Prognostic Value in Node-Negative Breast Cancer.

BACKGROUND: Proliferative markers are not recommended as prognostic factors for clinical use in breast cancer due to lack of standardization in methodology. However, proliferation is driving several gene expression signatures emphasizing the need for a reliable proliferative marker for clinical use. Studies suggest that cyclin A is a prognostic marker with satisfying reproducibility. We investigat

A literature review of agile practices and their effects in scientific software development

The nature of scientific research and the development of scientific software have similarities with processes that follow the agile manifesto: responsiveness to change and collaboration are of the utmost importance. But how well do current scientific software development processes match the practices found in agile development methods, and what are the effects of using agile practices in such proc

Deep Generative Models for Fast Photon Shower Simulation in ATLAS

The need for large-scale production of highly accurate simulated event samples for the extensive physics programme of the ATLAS experiment at the Large Hadron Collider motivates the development of new simulation techniques. Building on the recent success of deep learning algorithms, variational autoencoders and generative adversarial networks are investigated for modelling the response of the cent