177,172 research outputs found
LOW-DOSE OLANZAPINE MONOTHERAPY IN GIRLS WITH ANOREXIA NERVOSA, RESTRICTING SUBTYPE: FOCUS ON HYPERACTIVITY
No full textLow-dose olanzapine monotherapy in girls with anorexia nervosa, restricting
subtype: focus on hyperactivity.
Leggero C, Masi G, Brunori E, Calderoni S, Carissimo R, Maestro S, Muratori F.
IRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiatry, Via
dei Giacinti 2, Calambrone (Pisa), Italy.
OBJECTIVE: The aim of this study was to evaluate the efficacy of olanzapine in
girls with anorexia nervosa, restricting subtype (ANr).
METHODS: Thirteen patients (mean age 13.7 +/- 2.3 years, age range 9.6-16.3
years) enrolled in a multimodal treatment for ANr were evaluated with
standardized measures at baseline and after 1 and 6 months after starting
low-dose olanzapine monotherapy (mean dose 4.13 mg/day).
RESULTS: A significant improvement was evident on weight (body mass index, BMI),
global functioning (Children's Global Assessment Scale, CGAS), eating attitudes
(Eating Attitudes Test-26, EAT-26), anxious-depressive symptoms (Child Behavior
Checklist, CBCL) and hyperactivity (Structured Inventory for Anorexic and Bulimic
Syndromes, SIAB). At the end of the 6-month follow up, 7 patients were responders
according to an improvement of at least 50% in the EAT-26 results. The only
measure that improved significantly in responders, but not in nonresponders, was
hyperactivity (SIAB). Clinical improvement, in terms of both body mass index
(BMI) recovery and global functioning, paralleled the improvement of
hyperactivity, was evident at the end of the first month of treatment, and
further increased in the following 5 months, with minimal side effects.
CONCLUSIONS: Low-dose olanzapine monotherapy may be useful as adjunctive
treatment of youths with ANr. It is suggested that efficacy may be mediated by a
decrease of hyperactivity
ROBustness In Network (robin): an R Package for Comparison and Validation of Communities
No full textIn network analysis, many community detection algorithms have been developed. However, their implementation leaves unaddressed the question of the statistical validation of the results. Here, we present robin (ROBustness In Network), an R package to assess the robustness of the community structure of a network found by one or more methods to give indications about their reliability. The procedure initially detects if the community structure found by a set of algorithms is statistically significant and then compares two selected detection algorithms on the same graph to choose the one that better fits the network of interest. We demonstrate the use of our package on the American College Football benchmark dataset
ROBIN: an R package for validation of community robustness
No full textPoster presentation: ROBIN: an R package for validation of community robustnes
BEST PRACTICE GUIDELINE FOR THE CFD SIMULATION OF FLOWS IN THE URBAN ENVIRONMENT: QUALITY ASSURANCE AND IMPROVEMENT OF MICROSCALE METEOROLOGICAL MODELS
No full textThe main objective of the COST Action 732 is the improvement and qualityassurance of micro-scale obstacle-accommodating meteorological models and theirapplication to the prediction of flow and transport processes in urban or industrialenvironments. This report contains the full best practice guidelines for undertaking simulations that areused to evaluate microscale obstacle-accommodating meteorological modelsSummaries of this report have been published as the following documents : Franke, J., Hellsten, A., Schlunzen, H. A., & Carissimo, B. (2010). The Best Practise Guideline for the CFD simulation of flows in the urban environment: an outcome of COST 732. In The Fifth International Symposium on Computational Wind Engineering (CWE2010) (pp. 1-10)Franke, J., Hellsten, A., Schlunzen, K. H., & Carissimo, B. (2011). The COST 732 Best Practice Guideline for CFD simulation of flows in the urban environment: a summary. International Journal of Environment and Pollution, 44(1-4), 419-427
BEST PRACTICE GUIDELINE FOR THE CFD SIMULATION OF FLOWS IN THE URBAN ENVIRONMENT: QUALITY ASSURANCE AND IMPROVEMENT OF MICROSCALE METEOROLOGICAL MODELS
No full textThe main objective of the COST Action 732 is the improvement and qualityassurance of micro-scale obstacle-accommodating meteorological models and theirapplication to the prediction of flow and transport processes in urban or industrialenvironments. This report contains the full best practice guidelines for undertaking simulations that areused to evaluate microscale obstacle-accommodating meteorological modelsSummaries of this report have been published as the following documents : Franke, J., Hellsten, A., Schlunzen, H. A., & Carissimo, B. (2010). The Best Practise Guideline for the CFD simulation of flows in the urban environment: an outcome of COST 732. In The Fifth International Symposium on Computational Wind Engineering (CWE2010) (pp. 1-10)Franke, J., Hellsten, A., Schlunzen, K. H., & Carissimo, B. (2011). The COST 732 Best Practice Guideline for CFD simulation of flows in the urban environment: a summary. International Journal of Environment and Pollution, 44(1-4), 419-427
BEST PRACTICE GUIDELINE FOR THE CFD SIMULATION OF FLOWS IN THE URBAN ENVIRONMENT: QUALITY ASSURANCE AND IMPROVEMENT OF MICROSCALE METEOROLOGICAL MODELS
No full textThe main objective of the COST Action 732 is the improvement and qualityassurance of micro-scale obstacle-accommodating meteorological models and theirapplication to the prediction of flow and transport processes in urban or industrialenvironments. This report contains the full best practice guidelines for undertaking simulations that areused to evaluate microscale obstacle-accommodating meteorological modelsSummaries of this report have been published as the following documents : Franke, J., Hellsten, A., Schlunzen, H. A., & Carissimo, B. (2010). The Best Practise Guideline for the CFD simulation of flows in the urban environment: an outcome of COST 732. In The Fifth International Symposium on Computational Wind Engineering (CWE2010) (pp. 1-10)Franke, J., Hellsten, A., Schlunzen, K. H., & Carissimo, B. (2011). The COST 732 Best Practice Guideline for CFD simulation of flows in the urban environment: a summary. International Journal of Environment and Pollution, 44(1-4), 419-427
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
robin2: accelerating single-cell data clustering evaluation
No full textMotivation: The rapid expansion of single-cell RNA sequencing (scRNA-seq) technologies has increased the need for robust and scalable clustering evaluation methods. To address these challenges, we developed robin2, an optimized version of our R package robin. It introduces enhanced computational efficiency, support for high-dimensional datasets, and harmonious integration with R's base functionalities for robust network analysis. Results: robin2 offers improved functionality for clustering stability validation and enables systematic evaluation of community detection algorithms across various resolutions and pipelines. The application to Tabula Muris and PBMC scRNA-seq datasets confirmed its ability to identify biologically meaningful cell subpopulations with high statistical significance. The new version reduces computational time by 9-fold on large-scale datasets using parallel processing. Availability and implementation: The robin2 package is freely available on CRAN at https://CRAN.R-project.org/package=robin. Comprehensive documentation and a detailed analysis vignette are available on GitHub at https://drighelli.github.io/scrobinv2/index.html
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