14,796 research outputs found
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Ensuring Access to Safe and Nutritious Food for All Through the Transformation of Food Systems
Hyping the REF: promotional elements in impact submissions
The evaluation of research to allocate government funding to universities is now common across the globe. The Research Excellence Framework, introduced in the UK in 2014, marked a major change by extending assessment beyond the âqualityâ of published research to include its real-world âimpactâ. Impact submissions were a key determinant of the ÂŁ4 billion allocated to universities following the exercise. The case studies supporting claims for impact are therefore a high stakes genre, with writers keen to make the most persuasive argument for their work. In this paper we examine 800 of these âimpact case studiesâ from disciplines across the academic spectrum to explore the rhetorical presentation of impact. We do this by analysing authorsâ use of hyperbolic and promotional language to embroider their presentations, discovering substantial hyping with a strong preference for boosting the novelty and certainty of the claims made. Chemistry and physics, the most abstract and theoretical disciplines of our selection, contained the most hyping items with fewer as we move along the hard/pure â soft/applied continuum as the real-world value of work becomes more apparent. We also show that hyping varies with the type of impact, with items targeting technological, economic and cultural areas the most prolific
The stumbling block in âthe race of our livesâ: transition-critical materials, financial risks and the NGFS climate scenarios
Several âcriticalâ raw materials, including metals, minerals and Rare Earth Elements (REEs), play a central role in the low-carbon transition and are needed to expand the deployment of low-carbon technologies. The reliable and affordable supply of these resources is subject to supply-side risks and demand-induced pressures. This paper empirically estimates the material demand requirements for âTransition-Critical Materialsâ (TCMs) implied under two NGFS Climate Scenarios, namely the âNet Zero by 2050â and âDelayed Transitionâ scenarios. We apply material intensity estimates to the underlying assumptions on the deployment of low-carbon technologies to determine the implied material demand between 2021 and 2040 for nine TCMs. We find several materials to be subject to significant demand-induced pressures under both scenarios. Subsequently, the paper examines the possible emergence of material bottlenecks for three materials, namely copper, lithium and nickel. The results indicate possible substantial mismatches between supply and demand, which would be further exacerbated if the transition is delayed rather than realised immediately. We discuss these findings in the context of different possible transmission channels through which these bottlenecks could affect financial and price stability, and propose avenues for future research
AnuĂĄrio cientĂfico da Escola Superior de Tecnologia da SaĂșde de Lisboa - 2021
Ă com grande prazer que apresentamos a mais recente edição (a 11.ÂȘ) do AnuĂĄrio CientĂfico da Escola Superior de Tecnologia da SaĂșde de Lisboa. Como instituição de ensino superior, temos o compromisso de promover e incentivar a pesquisa cientĂfica em todas as ĂĄreas do conhecimento que contemplam a nossa missĂŁo. Esta publicação tem como objetivo divulgar toda a produção cientĂfica desenvolvida pelos Professores, Investigadores, Estudantes e Pessoal nĂŁo Docente da ESTeSL durante 2021. Este AnuĂĄrio Ă©, assim, o reflexo do trabalho ĂĄrduo e dedicado da nossa comunidade, que se empenhou na produção de conteĂșdo cientĂfico de elevada qualidade e partilhada com a Sociedade na forma de livros, capĂtulos de livros, artigos publicados em revistas nacionais e internacionais, resumos de comunicaçÔes orais e pĂłsteres, bem como resultado dos trabalhos de 1Âș e 2Âș ciclo. Com isto, o conteĂșdo desta publicação abrange uma ampla variedade de tĂłpicos, desde temas mais fundamentais atĂ© estudos de aplicação prĂĄtica em contextos especĂficos de SaĂșde, refletindo desta forma a pluralidade e diversidade de ĂĄreas que definem, e tornam Ășnica, a ESTeSL. Acreditamos que a investigação e pesquisa cientĂfica Ă© um eixo fundamental para o desenvolvimento da sociedade e Ă© por isso que incentivamos os nossos estudantes a envolverem-se em atividades de pesquisa e prĂĄtica baseada na evidĂȘncia desde o inĂcio dos seus estudos na ESTeSL. Esta publicação Ă© um exemplo do sucesso desses esforços, sendo a maior de sempre, o que faz com que estejamos muito orgulhosos em partilhar os resultados e descobertas dos nossos investigadores com a comunidade cientĂfica e o pĂșblico em geral. Esperamos que este AnuĂĄrio inspire e motive outros estudantes, profissionais de saĂșde, professores e outros colaboradores a continuarem a explorar novas ideias e contribuir para o avanço da ciĂȘncia e da tecnologia no corpo de conhecimento prĂłprio das ĂĄreas que compĂ”e a ESTeSL. Agradecemos a todos os envolvidos na produção deste anuĂĄrio e desejamos uma leitura inspiradora e agradĂĄvel.info:eu-repo/semantics/publishedVersio
Deep Transfer Learning Applications in Intrusion Detection Systems: A Comprehensive Review
Globally, the external Internet is increasingly being connected to the
contemporary industrial control system. As a result, there is an immediate need
to protect the network from several threats. The key infrastructure of
industrial activity may be protected from harm by using an intrusion detection
system (IDS), a preventive measure mechanism, to recognize new kinds of
dangerous threats and hostile activities. The most recent artificial
intelligence (AI) techniques used to create IDS in many kinds of industrial
control networks are examined in this study, with a particular emphasis on
IDS-based deep transfer learning (DTL). This latter can be seen as a type of
information fusion that merge, and/or adapt knowledge from multiple domains to
enhance the performance of the target task, particularly when the labeled data
in the target domain is scarce. Publications issued after 2015 were taken into
account. These selected publications were divided into three categories:
DTL-only and IDS-only are involved in the introduction and background, and
DTL-based IDS papers are involved in the core papers of this review.
Researchers will be able to have a better grasp of the current state of DTL
approaches used in IDS in many different types of networks by reading this
review paper. Other useful information, such as the datasets used, the sort of
DTL employed, the pre-trained network, IDS techniques, the evaluation metrics
including accuracy/F-score and false alarm rate (FAR), and the improvement
gained, were also covered. The algorithms, and methods used in several studies,
or illustrate deeply and clearly the principle in any DTL-based IDS subcategory
are presented to the reader
OLIG2 neural progenitor cell development and fate in Down syndrome
Down syndrome (DS) is caused by triplication of human chromosome 21 (HSA21) and is the most common genetic form of intellectual disability. It is unknown precisely how triplication of HSA21 results in the intellectual disability, but it is thought that the global transcriptional dysregulation caused by trisomy 21 perturbs multiple aspects of neurodevelopment that cumulatively contribute to its etiology. While the characteristics associated with DS can arise from any of the genes triplicated on HSA21, in this work we focus on oligodendrocyte transcription factor 2 (OLIG2). The progeny of neural progenitor cells (NPCs) expressing OLIG2 are likely to be involved in many of the cellular changes underlying the intellectual disability in DS. To explore the fate of OLIG2+ neural progenitors, we took advantage of two distinct models of DS, the Ts65Dn mouse model and induced pluripotent stem cells (iPSCs) derived from individuals with DS. Our results from these two systems identified multiple perturbations in development in the cellular progeny of OLIG2+ NPCs. In Ts65Dn, we identified alterations in neurons and glia derived from the OLIG2 expressing progenitor domain in the ventral spinal cord. There were significant differences in the number of motor neurons and interneurons present in the trisomic lumbar spinal cord depending on age of the animal pointing both to a neurodevelopment and a neurodegeneration phenotype in the Ts65Dn mice. Of particular note, we identified changes in oligodendrocyte (OL) maturation in the trisomic mice that are dependent on spatial location and developmental origin. In the dorsal corticospinal tract, there were significantly fewer mature OLs in the trisomic mice, and in the lateral funiculus we observed the opposite phenotype with more mature OLs being present in the trisomic animals. We then transitioned our studies into iPSCs where we were able to pattern OLIG2+ NPCs to either a spinal cord-like or a brain-like identity and study the OL lineage that differentiated from each progenitor pool. Similar to the region-specific dysregulation found in the Ts65Dn spinal cord, we identified perturbations in trisomic OLs that were dependent on whether the NPCs had been patterned to a brain-like or spinal cord-like fate. In the spinal cord-like NPCs, there was no difference in the proportion of cells expressing either OLIG2 or NKX2.2, the two transcription factors whose co-expression is essential for OL differentiation. Conversely, in the brain-like NPCs, there was a significant increase in OLIG2+ cells in the trisomic culture and a decrease in NKX2.2 mRNA expression. We identified a sonic hedgehog (SHH) signaling based mechanism underlying these changes in OLIG2 and NKX2.2 expression in the brain-like NPCs and normalized the proportion of trisomic cells expressing the transcription factors to euploid levels by modulating the activity of the SHH pathway. Finally, we continued the differentiation of the brain-like and spinal cord-like NPCs to committed OL precursor cells (OPCs) and allowed them to mature. We identified an increase in OPC production in the spinal cord-like trisomic culture which was not present in the brain-like OPCs. Conversely, we identified a maturation deficit in the brain-like trisomic OLs that was not present in the spinal cord-like OPCs. These results underscore the importance of regional patterning in characterizing changes in cell differentiation and fate in DS. Together, the findings presented in this work contribute to the understanding of the cellular and molecular etiology of the intellectual disability in DS and in particular the contribution of cells differentiated from OLIG2+ progenitors
The determinants of value addition: a crtitical analysis of global software engineering industry in Sri Lanka
It was evident through the literature that the perceived value delivery of the global software
engineering industry is low due to various facts. Therefore, this research concerns global
software product companies in Sri Lanka to explore the software engineering methods and
practices in increasing the value addition. The overall aim of the study is to identify the key
determinants for value addition in the global software engineering industry and critically
evaluate the impact of them for the software product companies to help maximise the value
addition to ultimately assure the sustainability of the industry.
An exploratory research approach was used initially since findings would emerge while the
study unfolds. Mixed method was employed as the literature itself was inadequate to
investigate the problem effectively to formulate the research framework. Twenty-three face-to-face online interviews were conducted with the subject matter experts covering all the
disciplines from the targeted organisations which was combined with the literature findings as
well as the outcomes of the market research outcomes conducted by both government and nongovernment institutes. Data from the interviews were analysed using NVivo 12. The findings
of the existing literature were verified through the exploratory study and the outcomes were
used to formulate the questionnaire for the public survey. 371 responses were considered after
cleansing the total responses received for the data analysis through SPSS 21 with alpha level
0.05. Internal consistency test was done before the descriptive analysis. After assuring the
reliability of the dataset, the correlation test, multiple regression test and analysis of variance
(ANOVA) test were carried out to fulfil the requirements of meeting the research objectives.
Five determinants for value addition were identified along with the key themes for each area.
They are staffing, delivery process, use of tools, governance, and technology infrastructure.
The cross-functional and self-organised teams built around the value streams, employing a
properly interconnected software delivery process with the right governance in the delivery
pipelines, selection of tools and providing the right infrastructure increases the value delivery.
Moreover, the constraints for value addition are poor interconnection in the internal processes,
rigid functional hierarchies, inaccurate selections and uses of tools, inflexible team
arrangements and inadequate focus for the technology infrastructure. The findings add to the
existing body of knowledge on increasing the value addition by employing effective processes,
practices and tools and the impacts of inaccurate applications the same in the global software
engineering industry
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Antecedents of business intelligence system use
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University London.Organisational reliance on information has become vital for organisational competitiveness. With increasing data volumes, Business Intelligence (BI) becomes a cornerstone of the decision-support system. However, employee resistance to use Business Intelligence Systems (BIS) is evident. This creates a problem to organisations in realising the benefits of BIS. It is thus important to study the enablers of sustained use of BIS amongst employees.
This thesis identifies existing theories that can be used to study BI system use. It integrates and extends technology use theories through a framework focusing on Business Intelligence System Use (BISU). Empirical research is then conducted in Kuwaitâs telecom and banking industries through a close-ended, self-administered questionnaire using a five-point Likert scale. Responses were received from 211 BI users. The data was analysed using SmartPLS to study the convergent and discriminant validity and reliability. Partial least squares structural equation modelling (PLS-SEM) was used to study the direct and indirect relationships between constructs and answer the hypotheses. In addition to SmartPLS, SPSS was used for descriptive analysis.
The results indicated that UTAUT factors consisting of performance expectancy, effort expectancy and social influence positively impact BI system use. Voluntariness of use was found to positively moderate the relationship between social influence and BI system use. Furthermore, BI system quality positively impacts both performance expectancy and effort expectancy. The BI userâs self-efficacy also positively impacts effort expectancy. In addition, social influence was found to be positively influenced by organisational factors, namely top management support and information culture.
The findings of this research contribute to literature by determining and quantifying the factors that influence BISU through the lens of employee perspectives. This thesis also explains how employeesâ object-based beliefs about BI affect their behavioural beliefs, which in turn impact BISU. Limitations of this research include the omission of UTAUTâs facilitating conditions and the limited variance of respondent demographics
Effects of ConsumerâWearable Activity TrackerâBased Programs on Objectively Measured Daily Physical Activity and Sedentary Behavior Among SchoolâAged Children: A Systematic Review and Metaâanalysis
Carolina Casado-Robles is supported by a research grant from the Spanish Ministry of Universities [Grant Number: FPU16/03314]. This publication is part of the WearFit project (Reference B-SEJ-029-UGR18), funded by the FEDER/Regional Government of Andalusia-Ministry of Economy and Knowledge. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Background: The popularity of consumer-wearable activity trackers has led the scientific community to conduct an
increasing number of intervention studies integrating them to promote physical activity (PA) and to reduce sedentary
behavior (SB) levels among school-aged children. Therefore, the aim of the present study was to estimate the effects
of consumer-wearable activity tracker-based programs on daily objectively measured PA and SB among apparently
healthy school-aged children, as well as to compare the influence of participantsâ and programsâ characteristics.
Methods: Eligibility criteria were: (1) participants: apparently healthy school-aged children (< 18 years old); (2) intervention:
aimed to promote PA and/or to reduce SB incorporating consumer-wearable activity trackers; (3) comparator:
baseline measurements and/or a control/traditional group; (4) outcomes: objectively measured daily PA and/or
SB levels; (5) study design: pre-experimental, quasi-experimental, and true-experimental trials. Relevant studies were
searched from eight databases up to December 2020, as well as from four alternative modes of searching. Based on
the Cochrane Risk-of-bias tool 2, the risk of bias was assessed following four domains: (1) randomization process; (2)
missing outcome data; (3) measurement of the outcomes; and (4) selection of the reported results. Based on a comprehensive
systematic review, meta-analyses of the Cohenâs standardized mean difference (d) and 95% confidence
interval (CI) with a random-effects model were conducted to estimate the overall effects, as well as the within- and
between-study subgroups analyses effects, of the programs on daily total steps, moderate-to-vigorous PA (MVPA),
total PA and SB.
Results: Forty-four publications (i.e., 45 studies) were included in the systematic review (5,620 unique participants;
mean age = 12.85 ± 2.84 years) and 40 publications (i.e., 41 studies) in the meta-analysis. Programs had a mean length
of 11.78 ± 13.17 weeks and most used a waist-worn consumer-wearable activity tracker (77.78% waist-worn; 22.22%
wrist-worn). Programs characteristics were: goal-setting strategies (64.06%); participantsâ logbooks (56.25%); counseling
sessions (62.50%); reminders (28.13%); motivational strategies (42.19%); and exercise routine (17.19%). Results
showed a statistically significant moderate favorable effect on daily total steps (d = 0.612, 95% CI 0.477â0.746), small favorable effect on daily MVPA (d = 0.220, 95% CI 0.134â0.307), trivial favorable effect on daily total PA (d = 0.151, 95%
CI 0.038â0.264) and trivial unfavorable effect on daily SB (d = 0.172, 95% CI 0.039â0.305). Subgroups analyses showed
a higher effect for daily total steps and daily MVPA levels in females and the physically inactive for daily total steps
(p = 0.003â0.044). Programs with educational counseling and/or goal-setting strategies, as well as a greater number
of strategies, were more effective for improving childrenâs daily total steps, and wrist-worn activity trackers were more
effective than waist-worn trackers for improving their daily MVPA levels (p = 0.001â0.021).
Conclusions: Consumer-wearable activity tracker-based programs seem to be effective in promoting school-aged
childrenâs daily total steps and MVPA levels, especially for females and those that are physically inactive. These programs
should include specific goal-setting, educational counseling, and wrist-worn trackers as especially effective
strategies. However, due to the certainty of evidence being from âlowâ to âmoderateâ, future well-designed primary
research studies about the topic are needed.Spanish Government FPU16/03314FEDER/Regional Government of Andalusia-Ministry of Economy and Knowledge B-SEJ-029-UGR1
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