Leukocyte count and two-part differential in whole blood based on a portable microflow cytometer

This work demonstrated leukocyte count and two-part leukocyte differential from the whole blood based on a portable microflow cytometer system. Leukocytes are selectively stained with a fluorescent dye, Acridine Orange (AO). The blood sample is then pumped through a disposable microfluidic device for fluorescence sensing. Under blue LED excitation (460nm), the green fluorescence from DNA and the red fluorescence from RNA are detected simultaneously with two photomultiplier tubes (PMT). Leukocytes are counted and differentiated into two parts, lymphocyte versus non-lymphocyte, based on their fluorescence signatures. The results, including leukocyte absolute count and lymphocyte ratio, matched well with the commercial hemacytometer counts (maximal error 9.0%, correlation coefficient ~0.8). We also tested the system for the first time under a zero-gravity (zero-G) environment that facilitated its application in space missions

Identifying a brain network for musical rhythm: A functional neuroimaging meta-analysis and systematic review

We conducted a systematic review and meta-analysis of 30 functional magnetic resonance imaging studies investigating processing of musical rhythms in neurotypical adults. First, we identified a general network for musical rhythm, encompassing all relevant sensory and motor processes (Beat-based, rest baseline, 12 contrasts) which revealed a large network involving auditory and motor regions. This network included the bilateral superior temporal cortices, supplementary motor area (SMA), putamen, and cerebellum. Second, we identified more precise loci for beat-based musical rhythms (Beat-based, audio-motor control, 8 contrasts) in the bilateral putamen. Third, we identified regions modulated by beat based rhythmic complexity (Complexity, 16 contrasts) which included the bilateral SMA-proper/pre-SMA, cerebellum, inferior parietal regions, and right temporal areas. This meta-analysis suggests that musical rhythm is largely represented in a bilateral cortico-subcortical network. Our findings align with existing theoretical frameworks about auditory-motor coupling to a musical beat and provide a foundation for studying how the neural bases of musical rhythm may overlap with other cognitive domains

Financial Intermediaries for Community and Economic Development in Ohio: Market Assessment

This report describes the results of an in-depth market assessment study conducted for the Finance Fund by the Center for Economic Development and the Center for Housing Research and Policy at Cleveland State University’s Levin College of Urban Affairs. The Finance Fund, located in Columbus, Ohio, is a statewide nonprofit financial intermediary. It finds funding and provides resources to support organizations that assist low- and moderate-income families and communities.1 The Finance Fund works primarily within low-income rural and urban communities throughout the state of Ohio by connecting local community development organizations and small businesses with needed funding in the form of grants, loans, and nontraditional financial products. Most of the projects in which the Finance Fund acts as a financial intermediary are in the areas of affordable housing, child care and early learning facilities, small business entrepreneurship, community facilities, and commercial revitalization. The majority of the Finance Fund’s clients are community-based nonprofit organizations and for-profit businesses that serve the low-income community. In order to provide the funding needed to undertake these projects, the Finance Fund helps create public-private partnerships with financial institutions, investors, charitable foundations, community organizations, and federal, state, and local governments

Validity of the Dictionary of Occupational Titles for Assessing Upper Extremity Work Demands

Objectives: The Dictionary of Occupational Titles (DOT) is used in vocational rehabilitation to guide decisions about the ability of a person with activity limitations to perform activities at work. The DOT has categorized physical work demands in five categories. The validity of this categorization is unknown. Aim of this study was to investigate whether the DOT could be used validly to guide decisions for patients with injuries to the upper extremities. Four hypotheses were tested. Methods: A database including 701 healthy workers was used. All subjects filled out the Dutch Musculoskeletal Questionnaire, from which an Upper Extremity Work Demands score (UEWD) was derived. First, relation between the DOT-categories and UEWD-score was analysed using Spearman correlations. Second, variance of the UEWD-score in occupational groups was tested by visually inspecting boxplots and assessing kurtosis of the distribution. Third, it was investigated whether occupations classified in one DOT-category, could significantly differ on UEWD-scores. Fourth, it was investigated whether occupations in different DOT-categories could have similar UEWD-scores using Mann Whitney U-tests (MWU). Results: Relation between the DOT-categories and the UEWD-score was weak (r(sp) = 0.40; p < .01). Overlap between categories was found. Kurtosis exceeded +/- 1.0 in 3 occupational groups, indicating large variance. UEWD-scores were significantly different within one DOT-category (MWU = 1.500; p < .001). UEWD scores between DOT-categories were not significantly different (MWU = 203.000; p = .49). Conclusion: All four hypotheses could not be rejected. The DOT appears to be invalid for assessing upper extremity work demands

A synthesis of evidence for policy from behavioural science during COVID-19

Scientific evidence regularly guides policy decisions1, with behavioural science increasingly part of this process2. In April 2020, an influential paper3 proposed 19 policy recommendations (‘claims’) detailing how evidence from behavioural science could contribute to efforts to reduce impacts and end the COVID-19 pandemic. Here we assess 747 pandemic-related research articles that empirically investigated those claims. We report the scale of evidence and whether evidence supports them to indicate applicability for policymaking. Two independent teams, involving 72 reviewers, found evidence for 18 of 19 claims, with both teams finding evidence supporting 16 (89%) of those 18 claims. The strongest evidence supported claims that anticipated culture, polarization and misinformation would be associated with policy effectiveness. Claims suggesting trusted leaders and positive social norms increased adherence to behavioural interventions also had strong empirical support, as did appealing to social consensus or bipartisan agreement. Targeted language in messaging yielded mixed effects and there were no effects for highlighting individual benefits or protecting others. No available evidence existed to assess any distinct differences in effects between using the terms ‘physical distancing’ and ‘social distancing’. Analysis of 463 papers containing data showed generally large samples; 418 involved human participants with a mean of 16,848 (median of 1,699). That statistical power underscored improved suitability of behavioural science research for informing policy decisions. Furthermore, by implementing a standardized approach to evidence selection and synthesis, we amplify broader implications for advancing scientific evidence in policy formulation and prioritization

A synthesis of evidence for policy from behavioural science during COVID-19

Scientific evidence regularly guides policy decisions 1, with behavioural science increasingly part of this process 2. In April 2020, an influential paper 3 proposed 19 policy recommendations (‘claims’) detailing how evidence from behavioural science could contribute to efforts to reduce impacts and end the COVID-19 pandemic. Here we assess 747 pandemic-related research articles that empirically investigated those claims. We report the scale of evidence and whether evidence supports them to indicate applicability for policymaking. Two independent teams, involving 72 reviewers, found evidence for 18 of 19 claims, with both teams finding evidence supporting 16 (89%) of those 18 claims. The strongest evidence supported claims that anticipated culture, polarization and misinformation would be associated with policy effectiveness. Claims suggesting trusted leaders and positive social norms increased adherence to behavioural interventions also had strong empirical support, as did appealing to social consensus or bipartisan agreement. Targeted language in messaging yielded mixed effects and there were no effects for highlighting individual benefits or protecting others. No available evidence existed to assess any distinct differences in effects between using the terms ‘physical distancing’ and ‘social distancing’. Analysis of 463 papers containing data showed generally large samples; 418 involved human participants with a mean of 16,848 (median of 1,699). That statistical power underscored improved suitability of behavioural science research for informing policy decisions. Furthermore, by implementing a standardized approach to evidence selection and synthesis, we amplify broader implications for advancing scientific evidence in policy formulation and prioritization

Erratum to: 36th International Symposium on Intensive Care and Emergency Medicine

[This corrects the article DOI: 10.1186/s13054-016-1208-6.]

A922 Sequential measurement of 1 hour creatinine clearance (1-CRCL) in critically ill patients at risk of acute kidney injury (AKI)

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