Managing Requirements Change the Informal Way: When Saying 'No' is Not an Option

© 2016 IEEE. Software has always been considered as malleable. Changes to software requirements are inevitable during the development process. Despite many software engineering advances over several decades, requirements changes are a source of project risk, particularly when businesses and technologies are evolving rapidly. Although effectively managing requirements changes is a critical aspect of software engineering, conceptions of requirements change in the literature and approaches to their management in practice still seem rudimentary. The overall goal of this study is to better understand the process of requirements change management. We present findings from an exploratory case study of requirements change management in a globally distributed setting. In this context we noted a contrast with the traditional models of requirements change. In theory, change control policies and formal processes are considered as a natural strategy to deal with requirements changes. Yet we observed that "informal requirements changes" (InfRc) were pervasive and unavoidable. Our results reveal an equally 'natural' informal change management process that is required to handle InfRc in parallel. We present a novel model of requirements change which, we argue, better represents the phenomenon and more realistically incorporates both the informal and formal types of change

Product Design Education for Circular Economy

Design has continually developed new approaches to find the most appropriate solutions to the growing environmental and social problems. At the same time higher education courses have tried to adapt their curricula accordingly. The most recently proposed model is circular economy. It reinforces the idea of a paradigm shift to a system of closed loops where there is no waste. This article develops a state of the art on the integration of sustainability in product design in higher education and its evolution to embrace circular economy. This analysis includes identifying past experiences, which contents are addressed, what methodologies are used, what type of approach (focused or dispersed) and what are the needs for teaching staff. This paper tries to identify gaps in order to purpose better solution for circular economy integration.info:eu-repo/semantics/publishedVersio

The Temporal Development of Fatty Infiltrates in the Neck Muscles Following Whiplash Injury: An Association with Pain and Posttraumatic Stress

Radiological findings associated with poor recovery following whiplash injury remain elusive. Muscle fatty infiltrates (MFI) in the cervical extensors on magnetic resonance imaging (MRI) in patients with chronic pain have been observed. Their association with specific aspects of pain and psychological factors have yet to be explored longitudinally.44 subjects with whiplash injury were enrolled at 4 weeks post-injury and classified at 6 months using scores on the Neck Disability Index as recovered, mild and moderate/severe. A measure for MFI and patient self-report of pain, loss of cervical range of movement and posttraumatic stress disorder (PTSD) were collected at 4 weeks, 3 months and 6 months post-injury. The effects of time and group and the interaction of time by group on MFI were determined. We assessed the mediating effect of posttraumatic stress and cervical range of movement on the longitudinal relationship between initial pain intensity and MFI. There was no difference in MFI across all groups at enrollment. MFI values increased in the moderate/severe group and were significantly higher in comparison to the recovered and mild groups at 3 and 6 months. No differences in MFI values were found between the mild and recovered groups. Initial severity of PTSD symptoms mediated the relationship between pain intensity and MFI at 6 months. Initial ROM loss did not.MFI in the cervical extensors occur soon following whiplash injury and suggest the possibility for the occurrence of a more severe injury with subsequent PTSD in patients with persistent symptoms

Regulation of human CD4+ T cell differentiation

Naive CD4+ T cells differentiate into specific effector subsets—Th1, Th2, Th17, and T follicular helper (Tfh)—that provide immunity against pathogen infection. The signaling pathways involved in generating these effector cells are partially known. However, the effects of mutations underlying human primary immunodeficiencies on these processes, and how they compromise specific immune responses, remain unresolved. By studying individuals with mutations in key signaling pathways, we identified nonredundant pathways regulating human CD4+ T cell differentiation in vitro. IL12Rβ1/TYK2 and IFN-γR/STAT1 function in a feed-forward loop to induce Th1 cells, whereas IL-21/IL-21R/STAT3 signaling is required for Th17, Tfh, and IL-10–secreting cells. IL12Rβ1/TYK2 and NEMO are also required for Th17 induction. Strikingly, gain-of-function STAT1 mutations recapitulated the impact of dominant-negative STAT3 mutations on Tfh and Th17 cells, revealing a putative inhibitory effect of hypermorphic STAT1 over STAT3. These findings provide mechanistic insight into the requirements for human T cell effector function, and explain clinical manifestations of these immunodeficient conditions. Furthermore, they identify molecules that could be targeted to modulate CD4+ T cell effector function in the settings of infection, vaccination, or immune dysregulation

Micronutrient Trace Element Composition of Crested Wheatgrass

In crested wheatgrass on northern Nevada range, high cobalt with low copper and zinc concentrations present a rather atypical pattern of trace elements. Zinc and manganese were greater in the seed head than in the foliage but no such differences were found for cobalt, copper or iron. Advancing season from April through July did not influence the micronutrient trace element composition of crested wheatgrass. Copper and zinc concentrations were found to be marginal or deficient for bovine nutrition and many zinc concentrations would generally be considered deficient for plant growth.This material was digitized as part of a cooperative project between the Society for Range Management and the University of Arizona Libraries.The Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact [email protected] for further information.Migrated from OJS platform August 202

The prevalence of undiagnosed metabolic abnormalities in people with serious mental illness

The prevalence of metabolic syndrome is increased 2–3-fold in people with serious mental illness (SMI). Monitoring of physical health in these individuals is poor, despite clear guidance from the National Institute of Health and Clinical Excellence. The aim of this study was to assess the proportion of people with SMI who had been screened for metabolic abnormalities within the previous year and in a further study to assess the prevalence of undiagnosed metabolic abnormalities in people who had not been screened. The notes and computer records of 100 patients with SMI from community and in-patient settings were evaluated. In a subsequent study, the prevalence of metabolic syndrome was assessed in 71 previously unscreened patients. The study was carried out at the psychiatric in-patient and out-patient units in Southampton and Winchester. The frequency of screening and prevalence of the metabolic syndrome as defined by the International Diabetes Federation (IDF) were assessed. There was documented evidence that the following cardiovascular risk factors had been measured in the previous year: blood pressure (32%), glucose (16%), lipids (9%) and weight (2%). In the metabolic abnormalities study, 41 of 71 (58%) patients were found to fulfil the IDF criteria for the metabolic syndrome. Two had previously undiagnosed diabetes. Twelve percent of patients had a greater than 20% risk of a cardiovascular event within the next 10 years. Despite clear guidance and a high prevalence of undiagnosed metabolic syndrome, screening rates for metabolic abnormalities in people with SMI remain low. Improved screening of metabolic complications should lead to better identification and treatment of this clinical problem.<br/