Abstract Background: Patients with glioma often suffer from cognitive deficits. Physical exercise has been effective in ameliorating cognitive deficits in older adults and neurological patients. This pilot randomized controlled trial (RCT) explored the possible impact of an exercise intervention, designed to improve cognitive functioning in glioma patients, regarding cognitive test performance and patient-reported outcomes (PROs). Methods: Thirty-four clinically stable patients with World Health Organization grades II/III glioma were randomized to a home-based remotely coached exercise group or an active control group. Patients exercised 3 times per week for 20-45 minutes, with moderate to vigorous intensity, during 6 months. At baseline and immediate follow-up, cognitive performance and PROs were assessed with neuropsychological tests and questionnaires, respectively. Linear regression analyses were used to estimate effect sizes of potential between-group differences in cognitive performance and PROs at 6 months. Results: The exercise group (n = 21) had small- to medium-sized better follow-up scores than the control group (n = 11) on several measures of attention and information processing speed, verbal memory, and executive function, whereas the control group showed a slightly better score on a measure of sustained selective attention. The exercise group also demonstrated small- to medium-sized better outcomes on measures of self-reported cognitive symptoms, fatigue, sleep, mood, and mental health-related quality of life. Conclusions: This small exploratory RCT in glioma patients provides a proof of concept with respect to improvement of cognitive functioning and PROs after aerobic exercise, and warrants larger exercise trials in brain tumor patients.
Stakeholders and in particular customers are an important source for business model innovation. Especially for sustainable business models, stakeholder integration may radically change the business logic and help to revise the business model. In this process cognition plays a central role, challenging basic assumptions and changing the dominant logic. In this paper we explore how interactions with the network contribute to making a cognitive shift in development of a sustainable business model. We build on three cases and closely look at the commercialisation stage in which a change of cognition and redesign of the business model take place. Our findings show that network interaction changes the dominant logic in business model innovation in two ways: by triggering a cognitive shift and by contributing to business model redesign. Our main contribution is the conceptualization of three interrelated shaping processes: market approach shaping, product/service offering shaping and credibility shaping. They provide a fine-grained perspective on value creation through collaborative networks and add to the business model literature by providing a framework to study the role of networks and cognition in business model innovation. For practitioners the shaping processes may support business model redesign and building relationships to advance commercialisation of sustainability-oriented innovations.
Increasing attention has been paid to the ‘voice’ of people living with mild cognitive impairment (MCI) or dementia, but there is a lack of clarity about how everyday life is perceived from this insider’s perspective. This study aimed to explore the everyday life experiences, challenges and facilitators of individuals with MCI and dementia living at home. A scoping review of qualitative studies, guided by the Joanna Briggs Institute Reviewers Manual, was conducted. Eight databases were searched, resulting in 6345 records, of which 58 papers published between 2011 and 2021 were included. Analysis was carried out by descriptive content analysis. Findings were categorized into seven spheres of everyday life: experiences related to the condition, self, relationships, activities, environment, health and social care and public opinions. The results show many disruptions and losses in everyday life and how people try to accommodate these changes. In all areas of everyday life, people show a deep desire to have reciprocal relationships, stay engaged through participation in activities and have a sense of belonging in the community. However, more research is needed on the factors that promote and impede the sense of reciprocity and belonging.
MULTIFILE
Prompt and timely response to incoming cyber-attacks and incidents is a core requirement for business continuity and safe operations for organizations operating at all levels (commercial, governmental, military). The effectiveness of these measures is significantly limited (and oftentimes defeated altogether) by the inefficiency of the attack identification and response process which is, effectively, a show-stopper for all attack prevention and reaction activities. The cognitive-intensive, human-driven alarm analysis procedures currently employed by Security Operation Centres are made ineffective (as opposed to only inefficient) by the sheer amount of alarm data produced, and the lack of mechanisms to automatically and soundly evaluate the arriving evidence to build operable risk-based metrics for incident response. This project will build foundational technologies to achieve Security Response Centres (SRC) based on three key components: (1) risk-based systems for alarm prioritization, (2) real-time, human-centric procedures for alarm operationalization, and (3) technology integration in response operations. In doing so, SeReNity will develop new techniques, methods, and systems at the intersection of the Design and Defence domains to deliver operable and accurate procedures for efficient incident response. To achieve this, this project will develop semantically and contextually rich alarm data to inform risk-based metrics on the mounting evidence of incoming cyber-attacks (as opposed to firing an alarm for each match of an IDS signature). SeReNity will achieve this by means of advanced techniques from machine learning and information mining and extraction, to identify attack patterns in the network traffic, and automatically identify threat types. Importantly, SeReNity will develop new mechanisms and interfaces to present the gathered evidence to SRC operators dynamically, and based on the specific threat (type) identified by the underlying technology. To achieve this, this project unifies Dutch excellence in intrusion detection, threat intelligence, and human-computer interaction with an industry-leading partner operating in the market of tailored solutions for Security Monitoring.
