| 1. |
- Clark, Andrew G., et al.
(författare)
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Evolution of genes and genomes on the Drosophila phylogeny
- 2007
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Ingår i: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 450:7167, s. 203-218
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Tidskriftsartikel (refereegranskat)abstract
- Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species.
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| 2. |
- Arrillaga-Romany, Isabel, et al.
(författare)
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Performance of a Hospital Pathway for Patients With a New Single Brain Mass
- 2019
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Ingår i: JOURNAL OF ONCOLOGY PRACTICE. - : American Society of Clinical Oncology (ASCO). - 1554-7477. ; 15:3, s. e211-e218
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Tidskriftsartikel (refereegranskat)abstract
- WHAT WE FOUND:Length of stay and time to surgery were significantly reduced after implementation of this admission pathway. Readmission rate was not adversely affected by this change. The protocol also significantly reduced the number of unnecessary body computed tomography imaging studies obtained in this patient population.CONFOUNDING FACTORS/REAL-LIFE IMPLICATIONS:The results of this study should be interpreted with their retrospective nature in mind. Further, analysis of this admission pathway did not take into consideration patient perspective or cost implications. Finally, the authors recognize that the resources for such an operational shift may only be found in large, tertiary, referral centers.Optimized specialized care for patients with new single brain masses promotes improved health care outcomes. It may also predictively reduce health care costs and improve patient satisfaction. More research is needed in this field. Limitations to our study included the inherent limitations of a retrospective pre-post design that can make it difficult to separate the effect of a specific intervention from other factors that change over time. In addition, assessment of patient satisfaction, use of diagnostic tests beyond body imaging, and advanced cost analysis could have strengthened this study. Lastly, it should be noted that the applicability of our approach may be limited to major tertiary centers with enough resources to implement such a pathway.Purpose:To reduce care variation and improve the management of patients with newly identified single brain masses and no history of cancer, we implemented a dedicated admission protocol.Methods:We reviewed records of 206 patients who presented to our emergency department between January 2010 and May 2016 with a new single brain mass but no history of cancer. Patients admitted before the protocol implementation were designated the pre-implementation group (PRE), and those admitted after implementation were designated the post-implementation group (POST).Results:Ninety-six patients were in the PRE group and 110 in the POST group. Length of stay for POST patients was significantly shorter than for PRE patients (6 v 7 days, respectively; P = .042), and this effect was more robust after excluding the 66 patients who were discharged to rehabilitation, skilled nursing, or hospice facilities (5 v 7 days, respectively; P = .001). Additional comparison of POST with PRE patients showed that time to surgery was significantly reduced (2.7 v 3.5 days, respectively; P = .006) and that computed tomography scans of the chest, abdomen, and pelvis were reduced (12% v 47%, respectively; P < .001). No difference was found in the 30-day readmission rates. For patients with GBM, there also was no significant difference in time to initiation of chemoradiation or in median overall survival.Conclusion:Implementation of a specialized admission pathway for patients with a new single brain mass decreased average length of hospital stay and time to surgery and reduced unnecessary diagnostic imaging tests in patients with primary brain tumors.
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| 3. |
- Booth, Frederick, et al.
(författare)
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A Mental Health and Well-Being Chatbot : User Event Log Analysis
- 2023
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Ingår i: JMIR mhealth and uhealth. - : JMIR Publications. - 2291-5222. ; 11
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Tidskriftsartikel (refereegranskat)abstract
- Background: Conversational user interfaces, or chatbots, are becoming more popular in the realm of digital health and well-being. While many studies focus on measuring the cause or effect of a digital intervention on people’s health and well-being (outcomes), there is a need to understand how users really engage and use a digital intervention in the real world.Objective: In this study, we examine the user logs of a mental well-being chatbot called ChatPal, which is based on the concept of positive psychology. The aim of this research is to analyze the log data from the chatbot to provide insight into usage patterns, the different types of users using clustering, and associations between the usage of the app’s features.Methods: Log data from ChatPal was analyzed to explore usage. A number of user characteristics including user tenure, unique days, mood logs recorded, conversations accessed, and total number of interactions were used with k-means clustering to identify user archetypes. Association rule mining was used to explore links between conversations.Results: ChatPal log data revealed 579 individuals older than 18 years used the app with most users being female (n=387, 67%). User interactions peaked around breakfast, lunchtime, and early evening. Clustering revealed 3 groups including “abandoning users” (n=473), “sporadic users” (n=93), and “frequent transient users” (n=13). Each cluster had distinct usage characteristics, and the features were significantly different (P<.001) across each group. While all conversations within the chatbot were accessed at least once by users, the “treat yourself like a friend” conversation was the most popular, which was accessed by 29% (n=168) of users. However, only 11.7% (n=68) of users repeated this exercise more than once. Analysis of transitions between conversations revealed strong links between “treat yourself like a friend,” “soothing touch,” and “thoughts diary” among others. Association rule mining confirmed these 3 conversations as having the strongest linkages and suggested other associations between the co-use of chatbot features.Conclusions: This study has provided insight into the types of people using the ChatPal chatbot, patterns of use, and associations between the usage of the app’s features, which can be used to further develop the app by considering the features most accessed by users.
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| 4. |
- Juratli, Tareq A., et al.
(författare)
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Targeted treatment of papillary craniopharyngiomas harboring BRAF V600E mutations
- 2019
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Ingår i: Cancer. - : WILEY. - 0008-543X .- 1097-0142. ; 125:17, s. 2910-2914
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Papillary craniopharyngiomas (PCPs) are characterized by the presence of BRAF V600E mutations, which are emerging as a useful guide for diagnosis and treatment decision making. The ongoing multicenter phase 2 Alliance A071601 trial is evaluating the efficacy of BRAF and mitogen-activated protein kinase kinase (MEK) inhibitors for patients with PCPs. With continued successful responses, it is proposed that BRAF (and MEK) inhibitors be evaluated for the neoadjuvant treatment of patients with PCPs.
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| 5. |
- Kappos, Ludwig, et al.
(författare)
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Siponimod versus placebo in secondary progressive multiple sclerosis (EXPAND): a double-blind, randomised, phase 3 study
- 2018
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Ingår i: The Lancet. - 0140-6736 .- 1474-547X. ; 391, s. 1263-1273
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Tidskriftsartikel (refereegranskat)abstract
- © 2018 Elsevier Ltd Background: No treatment has consistently shown efficacy in slowing disability progression in patients with secondary progressive multiple sclerosis (SPMS). We assessed the effect of siponimod, a selective sphingosine 1-phosphate (S1P) receptor 1,5 modulator, on disability progression in patients with SPMS. Methods: This event-driven and exposure-driven, double-blind, phase 3 trial was done at 292 hospital clinics and specialised multiple sclerosis centres in 31 countries. Using interactive response technology to assign numbers linked to treatme nt arms, patients (age 18–60 years) with SPMS and an Expanded Disability Status Scale score of 3·0–6·5 were randomly assigned (2:1) to once daily oral siponimod 2 mg or placebo for up to 3 years or until the occurrence of a prespecified number of confirmed disability progression (CDP) events. The primary endpoint was time to 3-month CDP. Efficacy was assessed for the full analysis set (ie, all randomly assigned and treated patients); safety was assessed for the safety set. This trial is registered with ClinicalTrials.gov, number NCT01665144. Findings: 1651 patients were randomly assigned between Feb 5, 2013, and June 2, 2015 (1105 to the siponimod group, and 546 to the placebo group). One patient did not sign the consent form, and five patients did not receive study drug, all of whom were in the siponimod group. 1645 patients were included in the analyses (1099 in the siponimod group and 546 in the placebo). At baseline, the mean time since first multiple sclerosis symptoms was 16·8 years (SD 8·3), and the mean time since conversion to SPMS was 3·8 years (SD 3·5); 1055 (64%) patients had not relapsed in the previous 2 years, and 918 (56%) of 1651 needed walking assistance. 903 (82%) patients receiving siponimod and 424 (78%) patients receiving placebo completed the study. 288 (26%) of 1096 patients receiving siponimod and 173 (32%) of 545 patients receiving placebo had 3-month CDP (hazard ratio 0·79, 95% CI 0·65–0·95; relative risk reduction 21%; p=0·013). Adverse events occurred in 975 (89%) of 1099 patients receiving siponimod versus 445 (82%) of 546 patients receiving placebo; serious adverse events were reported for 197 (18%) patients in the siponimod group versus 83 (15%) patients in the placebo group. Lymphopenia, increased liver transaminase concentration, bradycardia and bradyarrhythmia at treatment initiation, macular oedema, hypertension, varicella zoster reactivation, and convulsions occurred more frequently with siponimod than with placebo. Initial dose titration mitigated cardiac first-dose effects. Frequencies of infections, malignancies, and fatalities did not differ between groups. Interpretation: Siponimod reduced the risk of disability progression with a safety profile similar to that of other S1P modulators and is likely to be a useful treatment for SPMS. Funding: Novartis Pharma AG.
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| 6. |
- Potts, Courtney, et al.
(författare)
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A Multilingual Digital Mental Health and Well-Being Chatbot (ChatPal): Pre-Post Multicenter Intervention Study
- 2023
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Ingår i: Journal of Medical Internet Research. - : JMIR Publications. - 1438-8871. ; 25
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Tidskriftsartikel (refereegranskat)abstract
- Background: In recent years, advances in technology have led to an influx of mental health apps, in particular the development of mental health and well-being chatbots, which have already shown promise in terms of their efficacy, availability, and accessibility. The ChatPal chatbot was developed to promote positive mental well-being among citizens living in rural areas. ChatPal is a multilingual chatbot, available in English, Scottish Gaelic, Swedish, and Finnish, containing psychoeducational content and exercises such as mindfulness and breathing, mood logging, gratitude, and thought diaries.Objective: The primary objective of this study is to evaluate a multilingual mental health and well-being chatbot (ChatPal) to establish if it has an effect on mental well-being. Secondary objectives include investigating the characteristics of individuals that showed improvements in well-being along with those with worsening well-being and applying thematic analysis to user feedback.Methods: A pre-post intervention study was conducted where participants were recruited to use the intervention (ChatPal) for a 12-week period. Recruitment took place across 5 regions: Northern Ireland, Scotland, the Republic of Ireland, Sweden, and Finland. Outcome measures included the Short Warwick-Edinburgh Mental Well-Being Scale, the World Health Organization-Five Well-Being Index, and the Satisfaction with Life Scale, which were evaluated at baseline, midpoint, and end point. Written feedback was collected from participants and subjected to qualitative analysis to identify themes.Results: A total of 348 people were recruited to the study (n=254, 73% female; n=94, 27% male) aged between 18 and 73 (mean 30) years. The well-being scores of participants improved from baseline to midpoint and from baseline to end point; however, improvement in scores was not statistically significant on the Short Warwick-Edinburgh Mental Well-Being Scale (P=.42), the World Health Organization-Five Well-Being Index (P=.52), or the Satisfaction With Life Scale (P=.81). Individuals that had improved well-being scores (n=16) interacted more with the chatbot and were significantly younger compared to those whose well-being declined over the study (P=.03). Three themes were identified from user feedback, including “positive experiences,” “mixed or neutral experiences,” and “negative experiences.” Positive experiences included enjoying exercises provided by the chatbot, while most of the mixed, neutral, or negative experiences mentioned liking the chatbot overall, but there were some barriers, such as technical or performance errors, that needed to be overcome.Conclusions: Marginal improvements in mental well-being were seen in those who used ChatPal, albeit nonsignificant. We propose that the chatbot could be used along with other service offerings to complement different digital or face-to-face services, although further research should be carried out to confirm the effectiveness of this approach. Nonetheless, this paper highlights the need for blended service offerings in mental health care.
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| 7. |
- Potts, Courtney, et al.
(författare)
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Insights and lessons learned from trialling a mental health chatbot in the wild
- 2021
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Ingår i: 2021 IEEE Symposium on Computers and Communications (ISCC). - : IEEE. ; , s. 1-6
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Konferensbidrag (refereegranskat)abstract
- This study reports on the development and ‘in the wild’ trialling of a chatbot (ChatPal) which promotes good mental wellbeing. A stakeholder-centered approach for design was adopted where end users, mental health professionals and service users were involved in the design which was centered around positive psychology. In the wild usage of the chatbot was investigated from Jul-20-Mar-21. Exploratory analyses of usage metrics were carried out using the event log data. User tenure, unique usage days, total chatbot interactions and average daily interactions were used in K-means clustering to identify user archetypes. The chatbot was used by a variety of age groups (18-65+) and genders, mainly those living in Ireland. K-means clustering identified three clusters: sporadic users (n=4), frequent transient users (n=38) and abandoning users (n=169) each with distinct usage characteristics. This study highlights the importance of event log data analysis for making improvements to the mental health chatbot.
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| 8. |
- Rogan, Fionn, et al.
(författare)
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LEAPs and Bounds-an Energy Demand and Constraint Optimised Model of the Irish Energy System
- 2014
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Ingår i: Energy Efficiency. - : Springer Science and Business Media LLC. - 1570-646X .- 1570-6478. ; 7:3, s. 441-466
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Tidskriftsartikel (refereegranskat)abstract
- This paper builds a model of energy demand and supply for Ireland with a focus on evaluating, and providing insights for, energy efficiency policies. The demand-side comprises sectoral sub-models, with a detailed bottom-up approach used for the transport and residential sectors and a top-down approach used for the industry and services sectors. The supply side uses the linear programming optimisation features of the Open Source Energy Modelling System applied to electricity generation to calculate the least-cost solution. This paper presents the first national level model developed within the Long Range Energy Alternatives Planning software to combine detailed end-use analysis on the demand side with a cost-minimising optimisation approach for modelling the electricity generation sector. Through three scenarios over the period 2009-2020, the model examines the aggregate impact on energy demand of a selection of current and proposed energy efficiency policies. In 2020, energy demand in the energy efficiency scenario is 8.6 % lower than the reference scenario and 11.1 % lower in the energy efficiency + scenario.
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| 9. |
- Schülke, Anett, et al.
(författare)
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A middleware platform for integrated building performance management
- 2013
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Ingår i: Contributions to building physics. - Vienna : Department of building physics and building ecology. - 9783854373216 ; , s. 459-466
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Konferensbidrag (refereegranskat)abstract
- For today's building operation business, intelligent building performance analysis solutions with the strength for high replication potential are on urgent demand. While ICT is available throughout today's daily life, it is however still a challenge to bring the right data at the right time to the right decision makers in order to impact energy efficiency and savings for buildings, while operating in a highly competitive market place. With a multitude of BMS solutions and their proprietary performance calculations approach in the market, improvement of Building Performance needs to address other data sources as well, like geometric data, weather, occupancy, building services, and control/actuation data. These diverse data sources ask for an integrating ICT solution for data acquisition, storage, and analysis contribute to Building Performance calculations with emphasis on Key Performance Indicators (KPIs). Accommodating such information exchange demands the services of an effective and efficient middleware. This paper provides the description of an integration middleware and discusses relevant complexities experienced through achievements concerning the EU FP7 CAMPUS21 project.
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| 10. |
- Glasbey, JC, et al.
(författare)
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- 2021
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