485 research outputs found

    No change in neurodevelopment at 11 years after extremely preterm birth

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    Objective: To determine whether improvements in school age outcomes had occurred between two cohorts of births at 22–25 weeks of gestation to women residents in England in 1995 and 2006. Design: Longitudinal national cohort studies. Setting: School-based or home-based assessments at 11 years of age. Participants: EPICure2 cohort of births at 22–26 weeks of gestation in England during 2006: a sample of 200 of 1031 survivors were evaluated; outcomes for 112 children born at 22–25 weeks of gestation were compared with those of 176 born in England during 1995 from the EPICure cohort. Classroom controls for each group acted as a reference population. Main outcome measures: Standardised measures of cognition and academic attainment were combined with parent report of other impairments to estimate overall neurodevelopmental status. Results: At 11 years in EPICure2, 18% had severe and 20% moderate impairments. Comparing births at 22–25 weeks in EPICure2 (n=112), 26% had severe and 21% moderate impairment compared with 18% and 32%, respectively, in EPICure. After adjustment, the OR of moderate or severe neurodevelopmental impairment in 2006 compared with 1995 was 0.76 (95% CI 0.45 to 1.31, p=0.32). IQ scores were similar in 1995 (mean 82.7, SD 18.4) and 2006 (81.4, SD 19.2), adjusted difference in mean z-scores 0.2 SD (95% CI −0.2 to 0.6), as were attainment test scores. The use of multiple imputation did not alter these findings. Conclusion: Improvements in care and survival between 1995 and 2006 are not paralleled by improved cognitive or educational outcomes or a reduced rate of neurodevelopmental impairment

    ‘It’s just a finger isn’t it…’: patients’ perspectives of recovery following finger fractures and participation in surgical trials – a qualitative interview study

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    Objectives: To (1) generate detailed, person-centred data about the experience of finger injury and treatment and (2) understand the patients’ perspectives of research involvement with a view to informing better designed future studies in hand injury.Design: Qualitative study using semistructured interviews and framework analysis.Participants: 19 participants who were part of the Cohort study of Patients’ Outcomes for Finger Fractures and Joint Injuries study in a single secondary care centre in the UK.Results: The results of this study showed that although finger injuries are frequently seen as minor by patients and healthcare professionals, their effects on peoples’ lives are possibly greater than first anticipated. The relative importance of hand functioning means that the experience of treatment and recovery varies and is shaped by an individual’s age, job, lifestyle and hobbies. These factors will also inform an individual’s perspective on and willingness to participate in, hand research. Interviewees showed reluctance to accept randomisation in surgical trials. Interviewees would be more likely to participate in a study testing two variants of the same treatment modality (eg, surgery vs surgery), rather than two different modalities, (eg, surgery vs splint). The Patient-Reported Outcome Measure questionnaires that were used in this study were seen as less relevant by these patients. Pain, hand function and cosmetic appearance were considered important, meaningful outcomes.Conclusions: Patients with finger injuries need more support from healthcare professionals as they may experience more problems than first anticipated. Good communication by clinicians and empathy can help patients engage with the treatment pathway. Perceptions of an ‘insignificant’ injury and/or need for quick functional recovery will influence recruitment to future hand research (both positively and negatively). Accessible information about the functional and clinical consequences of a hand injury will be important in enabling participants to make fully informed decisions about participation

    Continuous Monitoring of Plant Water Potential

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    The Role of Compensatory Beliefs in Rationalizing Environmentally Detrimental Behaviors

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    Compensatory green beliefs (CGBs) reflect the idea that a pro-environmental behavior (e.g., recycling) can off-set the negative effects of an environmentally detrimental behavior (e.g., driving). It is thought that CGBs might help explain why people act in ways that appear to contradict their pro-environmental intentions, and inconsistently engage in pro-environmental behaviors. The present study sought to investigate the nature and use of CGBs. A series of interviews suggested that participants endorsed CGBs to: (a) reduce feelings of guilt with respect to (the assumed or actual) negative environmental impact of their actions, and (b) to defend their green credentials in social situations. Participants also justified detrimental behaviors on the basis of higher loyalties (e.g., family’s needs), or the perceived difficulty of performing more pro-environmental actions. In addition to shedding light on how, when, and why people might hold and use CGBs, the research also provides new insight into how CGBs should be assessed

    Evidence-Based Mental Health Programs in Schools: Barriers and Facilitators of Successful Implementation

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    Although schools can improve children’s access to mental health services, not all school-based providers are able to successfully deliver evidence-based practices. Indeed, even when school clinicians are trained in evidence-based practices (EBP), the training does not necessarily result in the implementation of those practices. This study explores factors that influence implementation of a particular EBP, Cognitive Behavioral Intervention for Trauma in Schools (CBITS). Semi-structured telephone interviews with 35 site administrators and clinicians from across the United States were conducted 6–18 months after receiving CBITS training to discuss implementation experiences. The implementation experiences of participants differed, but all reported similar barriers to implementation. Sites that successfully overcame such barriers differed from their unsuccessful counterparts by having greater organizational structure for delivering school services, a social network of other clinicians implementing CBITS, and administrative support for implementation. This study suggests that EBP implementation can be facilitated by having the necessary support from school leadership and peers

    Chemical diversity in a metal-organic framework revealed by fluorescence lifetime imaging

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    The presence and variation of chemical functionality and defects in crystalline materials, such as metal–organic frameworks (MOFs), have tremendous impact on their properties. Finding a means of identifying and characterizing this chemical diversity is an important ongoing challenge. This task is complicated by the characteristic problem of bulk measurements only giving a statistical average over an entire sample, leaving uncharacterized any diversity that might exist between crystallites or even within individual crystals. Here we show that by using fluorescence imaging and lifetime analysis, both the spatial arrangement of functionalities and the level of defects within a multivariable MOF crystal can be determined for the bulk as well as for the individual constituent crystals. We apply these methods to UiO-67, to study the incorporation of functional groups and their consequences on the structural features. We believe that the potential of the techniques presented here in uncovering chemical diversity in what is generally assumed to be homogeneous systems can provide a new level of understanding of materials properties

    Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

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    By combining metal nodes with organic linkers we can potentially synthesize millions of possible metal organic frameworks (MOFs). At present, we have libraries of over ten thousand synthesized materials and millions of in-silico predicted materials. The fact that we have so many materials opens many exciting avenues to tailor make a material that is optimal for a given application. However, from an experimental and computational point of view we simply have too many materials to screen using brute-force techniques. In this review, we show that having so many materials allows us to use big-data methods as a powerful technique to study these materials and to discover complex correlations. The first part of the review gives an introduction to the principles of big-data science. We emphasize the importance of data collection, methods to augment small data sets, how to select appropriate training sets. An important part of this review are the different approaches that are used to represent these materials in feature space. The review also includes a general overview of the different ML techniques, but as most applications in porous materials use supervised ML our review is focused on the different approaches for supervised ML. In particular, we review the different method to optimize the ML process and how to quantify the performance of the different methods. In the second part, we review how the different approaches of ML have been applied to porous materials. In particular, we discuss applications in the field of gas storage and separation, the stability of these materials, their electronic properties, and their synthesis. The range of topics illustrates the large variety of topics that can be studied with big-data science. Given the increasing interest of the scientific community in ML, we expect this list to rapidly expand in the coming years.Comment: Editorial changes (typos fixed, minor adjustments to figures
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