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10,570 result(s) for "Fidelity"
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Hi-Fi : the history of high-end audio design
At a time when sales of vinyl records have hit a 25-year high, and analog technologies are providing the kind of extraordinary audio experiences that our increasingly digital world has started to remove, 'Hi-Fi' is essential reading. This unique book explores just how, when, and why the world fell in love with the look, feel, and sound of top-of-the-line audio equipment. Hi-Fi traces this fascinating evolution from the 1950s to today (and tomorrow), taking readers right up to the current renaissance of all things analog and the emergence of cutting-edge designs for die-hard audiophiles.
Effectiveness of high versus mixed-level fidelity simulation on undergraduate nursing students: A randomised controlled trial
This study evaluates the impact of high-fidelity simulation on the acquisition and retention of competencies in nursing students. High-fidelity simulation provides a realistic and risk-free environment allowing students to practice, which potentially enhances the acquisition and retention of required competencies. A blinded, randomised clinical trial with three arms was conducted with a pretest and a follow-up at 6 months (post-test 1) and 12 months (post-test 2). This study was conducted with 105 s-year nursing students, divided into three groups: control (6 low-fidelity simulations), intervention 1 (3 high-fidelity and 3 low-fidelity) and intervention 2 (6 high-fidelity simulations). Competencies were assessed using the Objective Structured Clinical Examination at baseline, 6 and 12 months. Student satisfaction was measured with the Simulated Clinical Experiences Scale. Initial competency scores were similar across groups. At 6 months, both intervention groups showed significant improvements in critical thinking (6.2 and 6.0, p < 0.05), clinical skills (6.8 and 6.6, p < 0.05), communication (8.0 and 8.3, p < 0.05) and ethics (7.6 and 7.5, p < 0.05) compared with the control group. Intervention group 1 demonstrated better competency retention at 12 months. Overall satisfaction with highfidelity simulation was high (9.13/10), with particular praise for the practical dimension (8.95/10), realism (8.02/10) and the cognitive dimension (9.43/10). High-fidelity simulation has the potential to enhance nursing competencies effectively. This approach supports long-term skill retention, highlighting the importance of a well-structured curriculum that integrates different simulation levels for optimal student preparation for clinical practice.
High-fidelity is not superior to low-fidelity simulation but leads to overconfidence in medical students
Background Simulation has become integral to the training of both undergraduate medical students and medical professionals. Due to the increasing degree of realism and range of features, the latest mannequins are referred to as high-fidelity simulators. Whether increased realism leads to a general improvement in trainees’ outcomes is currently controversial and there are few data on the effects of these simulators on participants’ personal confidence and self-assessment. Methods One-hundred-and-thirty-five fourth-year medical students were randomly allocated to participate in either a high- or a low-fidelity simulated Advanced Life Support training session. Theoretical knowledge and self-assessment pre- and post-tests were completed. Students’ performance in simulated scenarios was recorded and rated by experts. Results Participants in both groups showed a significant improvement in theoretical knowledge in the post-test as compared to the pre-test, without significant intergroup differences. Performance, as assessed by video analysis, was comparable between groups, but, unexpectedly, the low-fidelity group had significantly better results in several sub-items. Irrespective of the findings, participants of the high-fidelity group considered themselves to be advantaged, solely based on their group allocation, compared with those in the low-fidelity group, at both pre- and post-self-assessments. Self-rated confidence regarding their individual performance was also significantly overrated. Conclusion The use of high-fidelity simulation led to equal or even worse performance and growth in knowledge as compared to low-fidelity simulation, while also inducing undesirable effects such as overconfidence. Hence, in this study, it was not beneficial compared to low-fidelity, but rather proved to be an adverse learning tool.
Fidelity is not easy! Challenges and guidelines for assessing fidelity in complex interventions
Background Fidelity in complex behavioural interventions is underexplored and few comprehensive or detailed fidelity studies report on specific procedures for monitoring fidelity. Using Bellg’s popular Treatment Fidelity model, this paper aims to increase understanding of how to practically and comprehensively assess fidelity in complex, group-level, interventions. Approach and lessons learned Drawing on our experience using a mixed methods approach to assess fidelity in the INFORM study (Improving Nursing home care through Feedback On perfoRMance data—INFORM), we report on challenges and adaptations experienced with our fidelity assessment approach and lessons learned. Six fidelity assessment challenges were identified: (1) the need to develop succinct tools to measure fidelity given tools tend to be intervention specific, (2) determining which components of fidelity (delivery, receipt, enactment) to emphasize, (3) unit of analysis considerations in group-level interventions, (4) missing data problems, (5) how to respond to and treat fidelity ‘failures’ and ‘deviations’ and lack of an overall fidelity assessment scheme, and (6) ensuring fidelity assessment doesn’t threaten internal validity. Recommendations and conclusions Six guidelines, primarily applicable to group-level studies of complex interventions, are described to help address conceptual, methodological, and practical challenges with fidelity assessment in pragmatic trials. The current study offers guidance to researchers regarding key practical, methodological, and conceptual challenges associated with assessing fidelity in pragmatic trials. Greater attention to fidelity assessment and publication of fidelity results through detailed studies such as this one is critical for improving the quality of fidelity studies and, ultimately, the utility of published trials. Trial registration ClinicalTrials.gov NCT02695836. Registered on February 24, 2016
Examining How Treatment Fidelity Is Supported, Measured, and Reported in K–3 Reading Intervention Research
Treatment fidelity data (descriptive and statistical) are critical to interpreting and generalizing outcomes of intervention research. Despite recommendations for treatment fidelity reporting from funding agencies and researchers, past syntheses have found treatment fidelity is frequently unreported (e.g., Swanson, The Journal of Special Education, 47, 3-13, 2011) in educational interventions and fidelity data are seldom used to analyze its relation to student outcomes (O'Donnell, Review of Educational Research, 78(1), 33-84, 2008). The purpose of this synthesis was to examine how treatment fidelity is supported, measured, and reported in reading intervention studies conducted with students at risk or with reading difficulties in grades K–3 from 1995 through 2015. All studies (k = 175) were coded to extract and classify information related to (a) the characteristics of the intervention study (e.g., publication year, research design); (b) treatment implementer training and support; (c) treatment fidelity data collection procedures, dimensions (i.e., adherence, quality, receipt dosage, and differentiation), and levels of treatment fidelity data; and (d) the use of fidelity scores in the analysis of treatment effects. Results indicated that less than half (47%) of the reading intervention studies synthesized reported treatment fidelity data (numeric or narrative). Exploratory analyses showed that several study features were associated with the prevalence of fidelity reporting. Studies reporting treatment fidelity largely measured treatment adherence, and scores were, on average, high. Other dimensions of treatment fidelity (e.g., treatment differentiation), and analyses relating fidelity data to outcomes, were consistently absent from the corpus of reading intervention studies reviewed. Recommendations for enhancing how treatment fidelity data in intervention studies are collected and reported are presented.
Simultaneous knockout of multiple LHCF genes using single sgRNAs and engineering of a high‐fidelity Cas9 for precise genome editing in marine algae
Summary The CRISPR/Cas9 system is an RNA‐guided sequence‐specific genome editing tool, which has been adopted for single or multiple gene editing in a wide range of organisms. When working with gene families with functional redundancy, knocking out multiple genes within the same family may be required to generate a phenotype. In this study, we tested the possibility of exploiting the known tolerance of Cas9 for mismatches between the single‐guide RNA (sgRNA) and target site to simultaneously introduce indels in multiple homologous genes in the marine diatom Phaeodactylum tricornutum. As a proof of concept, we designed two sgRNAs that could potentially target the same six light‐harvesting complex (LHC) genes belonging to the LHCF subgroup. Mutations in up to five genes were achieved simultaneously using a previously established CRISPR/Cas9 system for P. tricornutum. A visible colour change was observed in knockout mutants with multiple LHCF lesions. A combination of pigment, LHCF protein and growth analyses was used to further investigate the phenotypic differences between the multiple LHCF mutants and WT. Furthermore, we used the two same sgRNAs in combination with a variant of the existing Cas9 where four amino acids substitutions had been introduced that previously have been shown to increase Cas9 specificity. A significant reduction of off‐target editing events was observed, indicating that the altered Cas9 functioned as a high‐fidelity (HiFi) Cas9 nuclease.
Effects of high-fidelity simulation teaching on nursing students' knowledge, professional skills and clinical ability: A meta-analysis and systematic review
This meta-analysis was designed to systematically determine the effect of high-fidelity simulation teaching on nursing students' knowledge level, professional skill level and clinical ability. High-fidelity simulation is an increasingly popular pedagogical approach in nursing education. It provides students with opportunity to practice in a variety of simulations before entering clinical practice through a variety of real-life situational experiences and many institutions and educators have embraced this method for enhancing access to clinical skills. However, evidence for the effectiveness of the method in nursing teaching remains scarce. A meta-analysis and systematic review. The following Chinese and English databases were searched for relevant articles: PubMed, Embase, Cochrane library, Web of Science, CNKI (China National Knowledge Infrastructure) and Wangfang. The search encompassed the establishment of these databases up until November 2021. Two reviewers separately entered the data into Review Manager Software 5.3. A total of 15 studies were included in this study. High-fidelity simulation significantly increased nursing students’ knowledge acquisition (SMD = 1. 37, 94%CI:0. 73–2. 00,P <0. 0001), enhanced nursing students’professional skills (SMD = 0. 90, 95%CI:0. 36–1. 44,P = 0. 0001). In terms of clinical practice ability outcomes, high-fidelity simulation significantly improved the levels of critical thinking ability (SMD = 0. 58, 95%CI:0. 09–1. 07,P <0. 00001), Clinical judgement ability (SMD = 1. 34, 95%CI:0. 38–2. 31,P=0. 006) and communication skills (SMD = 2. 62, 95%CI:1. 84–3. 40,P <0. 001) of nursing students. We found that high-fidelity simulation have strong educational effects in nursing education, helping nursing students to increase knowledge acquisition, enhance professional skills and cultivate their clinical practice ability (critical thinking ability, communication skills and clinical judgement ability). These findings can provide guidance for nursing educators, indicating that the use of High-fidelity simulation teaching represents an effective solution for transitioning students from the learning environment to clinical practice.
Holes in the Hologenome: Why Host-Microbe Symbioses Are Not Holobionts
The advent of relatively inexpensive tools for characterizing microbial communities has led to an explosion of research exploring the diversity, ecology, and evolution of microbe-host systems. Some now question whether existing conceptual frameworks are adequate to explain microbe-host systems. One popular paradigm is the “holobiont-hologenome,” which argues that a host and its microbiome evolve as a single cooperative unit of selection (i.e., a superorganism). We argue that the hologenome is based on overly restrictive assumptions which render it an approach of little research utility. A host plus its microbiome is more effectively viewed as an ecological community of organisms that encompasses a broad range of interactions (parasitic to mutualistic), patterns of transmission (horizontal to vertical), and levels of fidelity among partners. The hologenome requires high partner fidelity if it is to evolve as a unit. However, even when this is achieved by particular host-microbe pairs, it is unlikely to hold for the entire host microbiome, and therefore the community is unlikely to evolve as a hologenome. Both mutualistic and antagonistic (fitness conflict) evolution can occur among constituent members of the community, not just adaptations at the “hologenome” level, and there is abundant empirical evidence for such divergence of selective interests among members of host-microbiome communities. We believe that the concepts and methods of ecology, genetics, and evolutionary biology will continue to provide a well-grounded intellectual framework for researching host-microbiome communities, without recourse to the limiting assumption that selection acts predominantly at the holobiont level.
Review of surrogate modeling in water resources
Surrogate modeling, also called metamodeling, has evolved and been extensively used over the past decades. A wide variety of methods and tools have been introduced for surrogate modeling aiming to develop and utilize computationally more efficient surrogates of high‐fidelity models mostly in optimization frameworks. This paper reviews, analyzes, and categorizes research efforts on surrogate modeling and applications with an emphasis on the research accomplished in the water resources field. The review analyzes 48 references on surrogate modeling arising from water resources and also screens out more than 100 references from the broader research community. Two broad families of surrogates namely response surface surrogates, which are statistical or empirical data‐driven models emulating the high‐fidelity model responses, and lower‐fidelity physically based surrogates, which are simplified models of the original system, are detailed in this paper. Taxonomies on surrogate modeling frameworks, practical details, advances, challenges, and limitations are outlined. Important observations and some guidance for surrogate modeling decisions are provided along with a list of important future research directions that would benefit the common sampling and search (optimization) analyses found in water resources. Key Points Categorize different surrogate‐enabled analysis frameworks and their components Summarize current surrogate modeling efforts and suggest future directions Outline case study features that influence surrogate model selection or design