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| 2. |
- Beal, Jacob, et al.
(författare)
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Robust estimation of bacterial cell count from optical density
- 2020
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Ingår i: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 3:1
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Tidskriftsartikel (refereegranskat)abstract
- Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.
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| 3. |
- Jacome, Cristina, et al.
(författare)
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Monitoring Adherence to Asthma Inhalers Using the InspirerMundi App : Analysis of Real-World, Medium-Term Feasibility Studies
- 2021
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Ingår i: Frontiers in Medical Technology. - : Frontiers Media S.A.. - 2673-3129. ; 3
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Tidskriftsartikel (refereegranskat)abstract
- Background: Poor medication adherence is a major challenge in asthma and objective assessment of inhaler adherence is needed. InspirerMundi app aims to monitor inhaler adherence while turning it into a positive experience through gamification and social support.Objective: We assessed the medium-term feasibility of the InspirerMundi app to monitor inhaler adherence in real-world patients with persistent asthma (treated with daily inhaled medication). In addition, we attempted to identify the characteristics of the patients related to higher app use.Methods: Two real-world multicenter observational studies, with one initial face-to-face visit and a 4-month telephone interview, were conducted in 29 secondary care centers from Portugal. During an initial face-to-face visit, patients were invited to use the app daily to register their asthma medication intakes. A scheduled intake was considered taken when patients took a photo of the medication (inhaler, blister, or others) using the image-based medication detection tool. Medication adherence was calculated as the number of doses taken as a percentage of the number scheduled. Interacting with the app =30 days was used as the cut-off for higher app use.Results: A total of 114 patients {median 20 [percentile 25 to percentile 75 (P25-P75) 16-36] years, 62% adults} were invited, 107 (94%) installed the app and 83 (73%) completed the 4-month interview. Patients interacted with the app for a median of 18 [3-45] days, translated on a median use rate of 15 [3-38]%. Median inhaler adherence assessed through the app was 34 [4-73]% when considering all scheduled inhalations for the study period. Inhaler adherence assessed was not significantly correlated with self-reported estimates. Median adherence for oral and other medication was 41 [6-83]% and 43 [3-73]%, respectively. Patients with higher app use were slightly older (p = 0.012), more frequently taking medication for other health conditions (p = 0.040), and more frequently prescribed long-acting muscarinic antagonists (LAMA, p = 0.024). After 4 months, Control of Allergic Rhinitis and Asthma Test (CARAT) scores improved (p < 0.001), but no differences between patients interacting with the app for 30 days or less were seen.Conclusions: The InspirerMundi app was feasible to monitor inhaler adherence in patients with persistent asthma. The persistent use of this mHealth technology varies widely. A better understanding of characteristics related to higher app use is still needed before effectiveness studies are undertaken.
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| 4. |
- Jung, Christian, et al.
(författare)
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A comparison of very old patients admitted to intensive care unit after acute versus elective surgery or intervention
- 2019
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Ingår i: Journal of critical care. - : W B SAUNDERS CO-ELSEVIER INC. - 0883-9441 .- 1557-8615. ; 52, s. 141-148
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Tidskriftsartikel (refereegranskat)abstract
- Background: We aimed to evaluate differences in outcome between patients admitted to intensive care unit (ICU) after elective versus acute surgery in a multinational cohort of very old patients (80 years; VIP). Predictors of mortality, with special emphasis on frailty, were assessed.Methods: In total, 5063 VIPs were induded in this analysis, 922 were admitted after elective surgery or intervention, 4141 acutely, with 402 after acute surgery. Differences were calculated using Mann-Whitney-U test and Wilcoxon test. Univariate and multivariable logistic regression were used to assess associations with mortality.Results: Compared patients admitted after acute surgery, patients admitted after elective surgery suffered less often from frailty as defined as CFS (28% vs 46%; p < 0.001), evidenced lower SOFA scores (4 +/- 5 vs 7 +/- 7; p < 0.001). Presence of frailty (CFS >4) was associated with significantly increased mortality both in elective surgery patients (7% vs 12%; p = 0.01), in acute surgery (7% vs 12%; p = 0.02).Conclusions: VIPs admitted to ICU after elective surgery evidenced favorable outcome over patients after acute surgery even after correction for relevant confounders. Frailty might be used to guide clinicians in risk stratification in both patients admitted after elective and acute surgery.
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| 5. |
- Neves, Ana Luisa, et al.
(författare)
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Determinants of the Use of Health and Fitness Mobile Apps by Patients With Asthma : Secondary Analysis of Observational Studies
- 2021
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Ingår i: Journal of Medical Internet Research. - : JMIR Publications. - 1438-8871. ; 23:9
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Tidskriftsartikel (refereegranskat)abstract
- Background: Health and fitness apps have potential benefits to improve self-management and disease control among patients with asthma. However, inconsistent use rates have been reported across studies, regions, and health systems. A better understanding of the characteristics of users and nonusers is critical to design solutions that are effectively integrated in patients' daily lives, and to ensure that these equitably reach out to different groups of patients, thus improving rather than entrenching health inequities. Objective: This study aimed to evaluate the use of general health and fitness apps by patients with asthma and to identify determinants of usage. Methods: A secondary analysis of the INSPIRERS observational studies was conducted using data from face-to-face visits. Patients with a diagnosis of asthma were included between November 2017 and August 2020. Individual-level data were collected, including age, gender, marital status, educational level, health status, presence of anxiety and depression, postcode, socioeconomic level, digital literacy, use of health services, and use of health and fitness apps. Multivariate logistic regression was used to model the probability of being a health and fitness app user. Statistical analysis was performed in R. Results: A total of 526 patients attended a face-to-face visit in the 49 recruiting centers and 514 had complete data. Most participants were <= 40 years old (66.4%), had at least 10 years of education (57.4%), and were in the 3 higher quintiles of the socioeconomic deprivation index (70.1%). The majority reported an overall good health status (visual analogue scale [VAS] score>70 in 93.1%) and the prevalence of anxiety and depression was 34.3% and 11.9%, respectively. The proportion of participants who reported using health and fitness mobile apps was 41.1% (n=211). Multivariate models revealed that single individuals and those with more than 10 years of education are more likely to use health and fitness mobile apps (adjusted odds ratio [aOR] 2.22, 95%CI 1.05-4.75 and aOR 1.95, 95%CI 1.12-3.45, respectively). Higher digital literacy scores were also associated with higher odds of being a user of health and fitness apps, with participants in the second, third, and fourth quartiles reporting aORs of 6.74 (95%CI 2.90-17.40), 10.30 (95%CI 4.28-27.56), and 11.52 (95%CI 4.78-30.87), respectively. Participants with depression symptoms had lower odds of using health and fitness apps (aOR 0.32, 95%CI 0.12-0.83). Conclusions: A better understanding of the barriers and enhancers of app use among patients with lower education, lower digital literacy, or depressive symptoms is key to design tailored interventions to ensure a sustained and equitable use of these technologies. Future studies should also assess users' general health-seeking behavior and their interest and concerns specifically about digital tools. These factors may impact both initial engagement and sustained use.
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| 6. |
- Cardoso, Carlos, et al.
(författare)
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eNeuron project - facilitating the energy transition in a military campus by optimizing a local energy community
- 2023
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Ingår i: Proceedings 27th International Conference on Electricity Distribution (CIRED 2023). - : IET. - 9781839538551
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Konferensbidrag (refereegranskat)abstract
- The eNeuron project is an ongoing Horizon 2020 EU-funded project with the main objective of setting out a practical framework for optimising the design and operation of local energy communities (LECs), acting as multi-carrier energy hubs (EH) and micro-energy hubs (mEH). LECs are key in the transition towards green, decarbonised power from local and renewable sources. The consortium is developing and applying pioneering software and hardware solutions, putting them to the test in real energy communities and introducing new governance models. There are four demonstration Pilots in the eNeuron Project: The Polish City of Bydgoszcz, the Skagerak Energilab in Norway, the Lisbon Naval Base (LNB) in Portugal, and the UNIVPM University Campus in Italy. This paper focuses on presenting the Portuguese demo pilot: the Lisbon Naval Base, namely the development of the demonstration activities so far, roughly half of the duration of the project, as well as a balance of all supporting activities, such as Use Case definition, technical activities (asset definition and installation) and social activities (stakeholder engagement). This paper presents a description and conclusion of these activities so far, at the time that the eNeuron preliminary toolbox concept is ready to be shared and implemented in the Pilots.
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| 7. |
- Correia, Filipa, et al.
(författare)
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Exploring Prosociality in Human-Robot Teams
- 2019
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Ingår i: HRI '19. - : IEEE. - 9781538685556 ; , s. 143-151
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Konferensbidrag (refereegranskat)abstract
- This paper explores the role of prosocial behaviour when people team up with robots in a collaborative game that presents a social dilemma similar to a public goods game. An experiment was conducted with the proposed game in which each participant joined a team with a prosocial robot and a selfish robot. During 5 rounds of the game, each player chooses between contributing to the team goal (cooperate) or contributing to his individual goal (defect). The prosociality level of the robots only affects their strategies to play the game, as one always cooperates and the other always defects. We conducted a user study at the office of a large corporation with 70 participants where we manipulated the game result (winning or losing) in a between-subjects design. Results revealed two important considerations: (1) the prosocial robot was rated more positively in terms of its social attributes than the selfish robot, regardless of the game result; (2) the perception of competence, the responsibility attribution (blame/credit), and the preference for a future partner revealed significant differences only in the losing condition. These results yield important concerns for the creation of robotic partners, the understanding of group dynamics and, from a more general perspective, the promotion of a prosocial society.
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| 8. |
- Costa, João T., et al.
(författare)
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Gephyrin Cleavage in In Vitro Brain Ischemia Decreases GABAA Receptor Clustering and Contributes to Neuronal Death
- 2016
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Ingår i: Molecular Neurobiology. - : Springer Science and Business Media LLC. - 0893-7648 .- 1559-1182. ; 53:6, s. 3513-3527
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Tidskriftsartikel (refereegranskat)abstract
- GABA (γ-aminobutyric acid) is the major inhibitory neurotransmitter in the central nervous system, and changes in GABAergic neurotransmission modulate the activity of neuronal networks. Gephyrin is a scaffold protein responsible for the traffic and synaptic anchoring of GABAA receptors (GABAAR); therefore, changes in gephyrin expression and oligomerization may affect the activity of GABAergic synapses. In this work, we investigated the changes in gephyrin protein levels during brain ischemia and in excitotoxic conditions, which may affect synaptic clustering of GABAAR. We found that gephyrin is cleaved by calpains following excitotoxic stimulation of hippocampal neurons with glutamate, as well as after intrahippocampal injection of kainate, giving rise to a stable cleavage product. Gephyrin cleavage was also observed in cultured hippocampal neurons subjected to transient oxygen-glucose deprivation (OGD), an in vitro model of brain ischemia, and after transient middle cerebral artery occlusion (MCAO) in mice, a model of focal brain ischemia. Furthermore, a truncated form of gephyrin decreased the synaptic clustering of the protein, reduced the synaptic pool of GABAAR containing γ2 subunits and upregulated OGD-induced cell death in hippocampal cultures. Our results show that excitotoxicity and brain ischemia downregulate full-length gephyrin with a concomitant generation of truncated products, which affect synaptic clustering of GABAAR and cell death.
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| 9. |
- Mendes-Santos, Cristina, et al.
(författare)
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Validation of the Portuguese version of the supportive care needs survey short-form questionnaire (SCNS-SF34-Pt) and the breast cancer supplementary module (SCNS-BR8-Pt)
- 2023
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Ingår i: Journal of psychosocial oncology. - : ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD. - 0734-7332 .- 1540-7586.
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Tidskriftsartikel (refereegranskat)abstract
- ObjectiveThis study aimed to test the psychometric properties of the Portuguese Supportive Care Needs Survey-Short Form-34 (SCNS-SF34-Pt) and its breast cancer-specific complementary module (SCNS-BR8-Pt). A further aim was to characterize Portuguese Breast Cancer Survivors (BCS) unmet supportive care needs, using these measures.MethodsA convenient sample of BCS was recruited from five hospitals in Portugal and invited to complete SCNS-SF34-Pt and SCNS-BR8-Pt, EORTCQLQC30 and QLQBR23, the Generalized Anxiety Disorder, and the Patient Health-Questionnaire. The validity (i.e. convergent, discriminant and convergent validity) and reliability of SCNS-SF34-Pt and SCNS-BR8-Pt were statistically evaluated. BCS unmet supportive care needs were descriptively assessed.Findings336 BCS participated in the study. A four-factor solution was produced for SCNS-SF34-Pt. This solution included the Physical and daily living needs, Psychological needs, Sexuality needs, and Health system, information, and patient support needs dimensions (73% of the total variance; Cronbachs alpha=.82 to .97). SCNS-SF34-Pt demonstrated good convergent validity. It could also discriminate between known-groups regarding age, disease staging, treatment performed, and ECOG performance status. SCNS-BR8-Pt revealed a single-factor structure (62% of the total variance; Cronbachs alpha=.91).Portuguese BCS most prevalent unmet supportive care needs were associated with the Psychological, and Physical and daily living domains. Fear of cancer spreading, the inability to do things as usual, and lack of energy/tiredness were perceived as issues requiring further supportive care.Findings336 BCS participated in the study. A four-factor solution was produced for SCNS-SF34-Pt. This solution included the Physical and daily living needs, Psychological needs, Sexuality needs, and Health system, information, and patient support needs dimensions (73% of the total variance; Cronbachs alpha=.82 to .97). SCNS-SF34-Pt demonstrated good convergent validity. It could also discriminate between known-groups regarding age, disease staging, treatment performed, and ECOG performance status. SCNS-BR8-Pt revealed a single-factor structure (62% of the total variance; Cronbachs alpha=.91).Portuguese BCS most prevalent unmet supportive care needs were associated with the Psychological, and Physical and daily living domains. Fear of cancer spreading, the inability to do things as usual, and lack of energy/tiredness were perceived as issues requiring further supportive care.ConclusionsSCNS-SF34-Pt and the SCNS-BR8-Pt are valid and reliable tools to assess Portuguese BCS unmet supportive care needs. Fear of cancer spreading and lack of energy/tiredness concerns should be a target of supportive care services.
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| 10. |
- Pereira, Andreia, et al.
(författare)
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A Low Complexity Sequential Resource Allocation for Panel-Based LIS Surfaces
- 2022
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Ingår i: 2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings. - 1550-2252. - 9781665482431 ; 2022-June
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Konferensbidrag (refereegranskat)abstract
- Large intelligent surfaces (LISs) is an evolution of massive MIMO systems allowing for huge capacity gains. To reduce implementation complexity, it is convenient to implement the LIS using panels that are either activated or deactivated, and associated to terminals according to their propagation characteristics to the panels. The associated spatial resource allocation to maximise the terminals', as well as the overall, bit rates can lead to complex optimisation problems.In this paper we consider resource allocation for panel-based LIS surfaces. We present an iterative sequential algorithm for determining the set of active panels and the respective panel-terminal association for the maximisation of the minimum terminal rate. Our algorithm is decentralised and has low complexity. Moreover, it approaches the performance of much more complex, quasi-optimum algorithms.
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