178,366 research outputs found
Impatto degli investimenti in R&S sull’agricoltura europea
No full textLa crescita della produzione agricola a livello mondiale è stata spinta dall’adozione di innovazioni generate dai risultati della ricerca. A partire da Griliches (1958), gli economisti hanno cercato di capire in che modo il settore ricerca e sviluppo (R&S) contribuisce all’evoluzione della produttività del settore agricolo, con lo scopo finale di stimare la redditività degli investimenti pubblici in ricerca. A livello globale, nonostante diversi studi riportino tassi di rendimento (Tdr) degli investimenti in R&S in agricoltura molto elevati (Alston et al., 2000; Hurley et al., 2014), si assiste, nelle ultime decadi, ad una riduzione generalizzata nella spesa in R&S (Pardey et al., 2006; Piesse et al. 2010).
In questo quadro generale, tuttavia, i contributi in letteratura non riescono ancora a chiarire né a definire la dinamica delle ricadute degli investimenti in R&S sulla performance dell’agricoltura Europea, soprattutto se si tenta di esplorare il tema a livello di Paese membro. Tale limitazione è dovuta alla inapplicabilità al contesto europeo delle metodologie analitiche ritenute in letteratura maggiormente efficaci nello studio degli impatti della ricerca, le quali richiedono serie storiche di almeno 50 anni e dati affidabili (Alston et al., 2000).
Il presente articolo si pone l’obiettivo di studiare i dati disponibili su spesa in R&S e produttività agricola, a livello di Stato membro, al fine di selezionare elementi informativi (dati) utili alla definizione e allo studio della produttività della ricerca europea in agricoltura
Correlation Between MERI and Hearing After Tympanoplasty
No full textBackground: Chronic otitis media is otological challenge in the developing countries it is particularly single most common cause of hearing impairement.Objective: The objective of this study was to observe the impact of prognostic factor middle ear risk index on hearing of patients undergoing tympanoplasty for chronic otitis media.Methods: This was a prospective analytical study conducted in 50 patients planned for tympanoplasty for chronic otitis media and evaluation done by MERI (Middle Ear Risk Index) and pure tone audiometry.Results: This study shows that most of the patients had mild MERI (64%), followed by severe MERI (20%) and then moderate MERI (16%). The mean preoperative PTA average was 44.34 dB (SD 8.01 dB) for patient with mild MERI, 44.75 dB (SD 5.87 dB) for patient with moderate MERI, and 54.9 dB (SD 14.05 dB) for patient with severe MERI and the mean preoperative A-B gap was 37.36 dB (SD 5.73 dB). Post operatively for mild MERI mean hearing gain is 12-14dB, for moderate MERI mean hearing gain is 10-13dB and for severe MERI mean hearing gain is 10-13dB and post operative mean A-B gap was improved by 10-11dB. There is a statistically significant hearing improvement in A-B gap with different types of MERI.Conclusion: MERI scoring is useful for predicating the outcome of hearing after tympanoplasty.JNGMC Vol. 13 No. 2 December 2015, Page: 6-9</jats:p
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Non-parametric micro Statistical Matching techniques: some developments (Tecniche micro non-parametriche per Statistical Matching: alcuni sviluppi)
No full textSometimes, the integration of different data sources is the only suitable solution to microdata shortage. Among the several data integration methodologies, Statistical Matching (SM) imputation allows to integrate different datasets when the same records are not uniquely identifiable through the observed variables and/or beyond a modelled rescaling procedure from an observed sample. Particularly, nonparametric micro SM imputation (“hot deck”) techniques allow researchers both to work always with observed (real) data and to avoid model misspecification bias. Nevertheless, non-parametric methods still lack a proper theoretical formalisation and a sound methodology to evaluate the imputation quality. Therefore, we propose new combinations of distance functions and “hot deck” techniques, analysing how
they perform in different donor-recipient datasets scenarios and elaborating a robust, recursive strategy for the imputation validation
Meri Gray, 1970-1971 Chanticleer Staff
No full textMeri Gray was a student at Jacksonville State University. She was the Activities Editor of the 1970-1971 Chanticleer staff.https://digitalcommons.jsu.edu/lib-ac-histimg/40453/thumbnail.jp
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Get PDFBoth 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
Get PDFThe 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
Letter from R. R. Zellick, Assistant Trust Officer, Anglo California National Bank of San Francisco, to Joseph R. Goodman, October 2, 1942
No full textLetter from R. R. Zellick, Assistant Trust Officer at The Anglo California National Bank of San Francisco, to Joseph R. Goodman, regarding property owned by Dave Tatsuno. Zellick mentions a dispute between current tenants and Tatsuno, and that Tatsuno has asked Goodman to help locate trustworthy tenants.Personal correspondence, organizational records, government documents, publications, and other papers created or collected by Joseph R. Goodman documenting the forced removal and incarceration of Japanese Americans during World War II, as well as organized resistance to incarceration. Included in the collection are records of the Japanese Young Men's Christian Association and the Japanese American Citizens' League in San Francisco, including papers of the Japanese YMCA's executive secretary Lincoln Kanai; Sakai family papers; Goodman's correspondence to and from Japanese American incarcerees, organizations opposing forced removal and incarceration of Japanese Americans, the War Relocation Authority, and others; publications, photographs, and ephemera from the Topaz Relocation Center, where Goodman taught high school; War Relocation Authority records and publications; and newspaper clippings, pamphlets, and reports about forced removal and incarceration created by various government, religious, and civic organizations, in California and nationwide
Middle ear risk index (MERI) as a prognostic factor in endoscopic tympanoplasty in chronic otitis media (COM)
Get PDFINTRODUCTION:
Chronic otitis media is a common problem worldwide, especially in the developing countries like India. Inspite of many development in antibiotics and surgical techniques the outcome of surgery is not very satisfactory. So it is necessary to study the factors affecting the outcome of the surgery. The Middle Ear Risk Index (MERI) was developed to assess the risk factors like otorrhea, perforation, ossicular chain status, cholesteatoma, middle ear effusion or granulation, previous ear surgery and smoking and grade the disease into mild moderate and severe. The MERI was used to assess the hearing benefit after endoscopic tympanoplasty.
AIM OF THE STUDY:
To study the relation between the MERI and hearing benefit following endoscopic tympanoplasty.
METHODS AND MATERIALS:
This study is a prospective study conducted in the department of ENT, Government Stanley medical college, Chennai, in the year 2016 to 2017. This study group consists of 50 patients with chronic otitis media. All patients are investigated PTA was done preoperatively. MERI score was calculated for all patients.. Then patients were grouped into mild, moderate and severe. PTA was done 1st and 3rd month postoperatively. The postoperative and preoperative ABG was compared and correlated with MERI score.
RESULTS:
The MERI score distribution among the 50 patients were mild- 35 patients, moderate- 13 patients and severe-2 patients. The p-value is 0.05 for 3rd postop month and there is a significant association between the MERI score and hearing benefit in 3rd postop month.
CONCLUSION:
MERI is a useful measure of severity of middle ear disease. MERI can be used as a prognostic indicator for hearing benefit after endoscopic tympanoplasty
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