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Artículos de revistas sobre el tema "Research grants"

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Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 5 de marzo de 2023

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1

Fineberg, Naomi y Madelyn L. Wheeler. "Grants/Research". Diabetes Educator 13, n.º 2 (marzo de 1987): 138–39. http://dx.doi.org/10.1177/014572178701300214.

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Rushakoff, Robert J. "Grants/Research". Diabetes Educator 13, n.º 4 (septiembre de 1987): 430. http://dx.doi.org/10.1177/014572178701300419.

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Guthrie, Diana W. "Grants/Research". Diabetes Educator 14, n.º 1 (febrero de 1988): 68–69. http://dx.doi.org/10.1177/014572178801400123.

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Wylie-Rosett, Judith, Samuel Engel, Gail D'Eramo, Roger Mazze, Joann Murphy, Harry Shamoon, Susan Slagle, Mary Villeneuve, Jean Wilson y Norman Fleischer. "Grants/Research". Diabetes Educator 15, n.º 4 (agosto de 1989): 366–69. http://dx.doi.org/10.1177/014572178901500420.

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5

Pinyerd, Belinda J. "Grants/Research". Diabetes Educator 16, n.º 2 (abril de 1990): 96–97. http://dx.doi.org/10.1177/014572179001600204.

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Drass, Janicb A. y Priscilla C. Boykin. "Grants/Research". Diabetes Educator 16, n.º 3 (junio de 1990): 177–82. http://dx.doi.org/10.1177/014572179001600304.

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Coxdzurec, Laura. "Grants/Research". Diabetes Educator 16, n.º 4 (agosto de 1990): 276–81. http://dx.doi.org/10.1177/014572179001600405.

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Jones, Phyllis M., Betsy Bohannon, Barbara Irwin y Joyce Rich. "Grants/Research". Diabetes Educator 17, n.º 2 (abril de 1991): 130–35. http://dx.doi.org/10.1177/014572179101700222.

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Gardner, Elizabeth. "Research grants". Molecular Medicine Today 1, n.º 3 (junio de 1995): 106. http://dx.doi.org/10.1016/s1357-4310(95)80078-6.

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Zhu, Jie, Braja Gopal Patra, Hulin Wu y Ashraf Yaseen. "A novel NIH research grant recommender using BERT". PLOS ONE 18, n.º 1 (17 de enero de 2023): e0278636. http://dx.doi.org/10.1371/journal.pone.0278636.

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Research grants are important for researchers to sustain a good position in academia. There are many grant opportunities available from different funding agencies. However, finding relevant grant announcements is challenging and time-consuming for researchers. To resolve the problem, we proposed a grant announcements recommendation system for the National Institute of Health (NIH) grants using researchers’ publications. We formulated the recommendation as a classification problem and proposed a recommender using state-of-the-art deep learning techniques: i.e. Bidirectional Encoder Representations from Transformers (BERT), to capture intrinsic, non-linear relationship between researchers’ publications and grants announcements. Internal and external evaluations were conducted to assess the system’s usefulness. During internal evaluations, the grant citations were used to establish grant-publication ground truth, and results were evaluated against Recall@k, Precision@k, Mean reciprocal rank (MRR) and Area under the Receiver Operating Characteristic curve (ROC-AUC). During external evaluations, researchers’ publications were clustered using Dirichlet Process Mixture Model (DPMM), recommended grants by our model were then aggregated per cluster through Recency Weight, and finally researchers were invited to provide ratings to recommendations to calculate Precision@k. For comparison, baseline recommenders using Okapi Best Matching (BM25), Term-Frequency Inverse Document Frequency (TF-IDF), doc2vec, and Naïve Bayes (NB) were also developed. Both internal and external evaluations (all metrics) revealed favorable performances of our proposed BERT-based recommender.
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11

&NA;, &NA;. "RESEARCH GRANTS AVAILABLE". Journal of Perinatal & Neonatal Nursing 2, n.º 3 (enero de 1989): 82. http://dx.doi.org/10.1097/00005237-198901000-00015.

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Anonymous. "Water research grants". Eos, Transactions American Geophysical Union 69, n.º 34 (1988): 802. http://dx.doi.org/10.1029/eo069i034p00802-02.

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DART, JOHN. "EB research grants". Nature 346, n.º 6285 (agosto de 1990): 604. http://dx.doi.org/10.1038/346604d0.

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Gardner, Elizabeth. "More research grants". Molecular Medicine Today 1, n.º 5 (agosto de 1995): 211. http://dx.doi.org/10.1016/s1357-4310(95)91323-8.

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15

Ross, Dennis. "Research Grants Available". Orthopaedic Nursing 13, n.º 3 (mayo de 1994): 61. http://dx.doi.org/10.1097/00006416-199405000-00019.

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&NA;, &NA;. "Research grants available". Orthopaedic Nursing 13, n.º 6 (noviembre de 1994): 54. http://dx.doi.org/10.1097/00006416-199411000-00012.

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17

Abbott, Paul. "1995 Research Grants". Australian Endodontic Newsletter 20, n.º 3 (11 de febrero de 2010): 10. http://dx.doi.org/10.1111/j.1747-4477.1994.tb00477.x.

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18

Bucy, Paul C. "Neurosurgical research grants". Surgical Neurology 26, n.º 2 (agosto de 1986): 201. http://dx.doi.org/10.1016/0090-3019(86)90383-6.

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19

Sorrentino, L., J. Rebak, F. Maldonado, V. V. Castro Coello, A. Brigante, A. Hamaui, D. Dubinsky et al. "POS1186 EFFECT OF SOCIO-ECONOMIC STATUS AND EDUCATIONAL LEVEL ON COVID-19 OUTCOMES IN PATIENTS WITH RHEUMATIC DISEASES FROM ARGENTINA: DATA FROM THE SAR-COVID REGISTRY". Annals of the Rheumatic Diseases 80, Suppl 1 (19 de mayo de 2021): 874–75. http://dx.doi.org/10.1136/annrheumdis-2021-eular.1294.

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Background:SARS-CoV-2 infection can present with a broad clinical spectrum, from asymptomatic to lethal. Different risk factors have been recognized. Socio-economic status and educational level may affect access to the healthcare system and therefore COVID-19 infection outcome.Objectives:The aim of this study was to assess the association between socio-demographic status and educational level and SARS-CoV-2 outcomes, such as hospitalization, ICU admission, need for mechanical ventilation and death, in Argentinean patients with rheumatic diseases from the SAR-COVID Registry.Methods:We performed a cross-sectional study of consecutive adult patients with rheumatic diseases and SARS-CoV-2 infection included in the multicentric Argentinean SAR-COVID Registry. The following variables were included: gender, ethnicity, age, health insurance, educational level (under or over 12 years of education), socio-economic level according to Graffar Scale in high, medium-high, medium, medium-low, low; underlying rheumatic disease, its duration and treatment at the time of infection.SARS-CoV-2 infection outcomes were: hospitalization, admission to ICU, mechanical ventilation requirement and death.Statistical analysis was performed using Chi2, Fisher, T-test, ANOVA.Results:Five hundred and twenty-five patients were included, 422 (80.4%) were female, with a mean age of 51.3 years (SD 15.2). Most of them were caucasians (48%) or mestizos (43%) and 96.8% lived in an urban environment. Almost half of the patients (47%) were categorized as middle-class, 24% middle-high or high class, 21% middle-low or low. 48.4% of the patients were employed. Regarding educational level, 54% had more than 12 years of education.The most prevalent rheumatic disease was Rheumatoid Arthritis (40.4%), followed by Systemic Lupus Erythematosus (14.9%), Sjögren (5.5%) and Psoriatic Arthritis (5.5%). Treatments used at the time of SARS-CoV-2 infection were corticosteroids (19%), cs-DMARDs (49%), and b- and ts-DMARDs (16%).Overall hospitalization frequency was 35%, median hospital stay was 10 days (IQR 10 days), 11.6% were admitted to the ICU, 10% required mechanical ventilation and the global mortality was 8%.Notably, patients with less than 12 years of education required mechanical ventilation more frequently than the more educated ones (11.9% vs. 5.6%, p=0.026) and showed a higher mortality due to COVID-19 (9% vs. 2.8%, p=0.0004).Patients categorized as upper social classes (middle-high and high) were admitted to the hospital on a more frequent basis (74.4% of cases), when compared with middle class (64.4%) and middle-low and low class (58%) (p=0.77). Median duration of hospitalization for the aforementioned groups was 12.5 (IQR 17.3), 10 (IQR 9) and 10.5 (IQR 9.3) days respectively (p=0.60).Patients with health insurance were found to be hospitalized more frequently in comparison to those without insurance (42.4% vs. 33.7%, p=0.14), but showed similar admission rates to the ICU (11.8% vs. 12.8%; p=0.78), need for mechanical ventilation (10.7% vs. 8.7%; p=0.70) and mortality (7.1% vs. 6.5%; p=0.99).Caucasian patients had fewer hospital admissions when compared against other ethnicities (mestizos mostly) (26.1% vs. 43.4%; p<0.0001), but showed no statistically significant difference in need for mechanical ventilation 10.3% vs. 9.9% (p=0.99) or mortality 8.7% vs. 5.1% (p=0.15).Conclusion:Patients with lower educational level needed twice the frequency of mechanical ventilation, and showed thrice the mortality than those with more than 12 years of education.Albeit patients in upper social stratus and those with health insurance were admitted to the hospital in a more frequent manner, no statistically significant differences were found regarding the need for ICU, mechanical ventilation or mortality.Caucasians were hospitalized less frequently than mestizos, but had no significant differences in the other measured outcomes.Disclosure of Interests:Laura Sorrentino Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Jonathan Rebak Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Federico Maldonado Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Vanessa Viviana Castro Coello Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Alejandro Brigante Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Adriana Hamaui Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Diana Dubinsky Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Roberto Baez Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Cecilia Pisoni Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Carla Gobbi Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Leandro Carlevaris Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Romina Tanten Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Adriana Karina Cogo Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Maria DeLaVega Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Rodolfo Perez Alamino Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Maria Alicia Lazaro Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Mariana Pera Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Susana Isabel Pineda Vidal Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Maria Elena Calvo Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Debora Guaglianone Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Carla G Alonso Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Mara Guinsburg Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Cinthya Retamozo Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Carolina Aeschlimann Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Rosana Quintana Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Karen Roberts Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Carolina Ayelen Isnardi Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Guillermo Pons Estel Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.
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20

Reyes, A. A., G. Alle, R. Tanten, M. Scolnik, E. Soriano, G. Berbotto, M. Haye et al. "POS1188 COVID-19 IN PATIENTS WITH RHEUMATIC DISEASES: COMPARISON OF DATA FROM THE ARGENTINE REGISTRY (SAR-COVID), WITH THE LATIN AMERICAN AND GLOBAL REGISTRY (GLOBAL RHEUMATOLOGY ALLIANCE)". Annals of the Rheumatic Diseases 80, Suppl 1 (19 de mayo de 2021): 875.2–876. http://dx.doi.org/10.1136/annrheumdis-2021-eular.1458.

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Background:SARS CoV-2 infection has recently burst onto the global scene, and the knowledge of the course of this infection in patients with rheumatic diseases receiving immunomodulatory treatment is still insufficient. The Argentine Society of Rheumatology (SAR) designed a national registry called SAR-COVID in order to get to assess our reality.Objectives:To identify the particular characteristics of patients with rheumatic diseases and COVID-19 in Argentina (SAR-COVID Registry), and to compare them with the data reported at the Latin American and Global level (Global International Alliance Rheum-COVID Registry).Methods:A national, multicenter, prospective and observational registry was carried out. Patients older than 18 years, with a diagnosis of rheumatic disease and SARS-CoV-2 infection by PCR or serology, were included between August 13, 2020 and January 17, 2021. Demographic data, underlying rheumatic disease (activity of the disease, current treatment), comorbidities, clinical-laboratory characteristics of the SARS-CoV-2 infection, as well as received treatments (pharmacological, oxygen therapy / ventilatory support) and outcomes (hospitalization, mortality) were recorded. The characteristics of the included patients were compared with the data reported at the Latin American and global level. Descriptive statistics were performed. Comparisons between groups were made using ANOVA, chi2 or Fisher’s test, according to the type of variable.Results:Four hundred sixty-five patients from Argentina, 74 patients from Latin America and 583 from the rest of the world were included, mostly women (79.6%, 73% and 71% respectively), with a mean age of 50.2 (SD 15.3), 53.5 (DE 15.6) and 55.8 (15.5), years respectively. The most frequent rheumatic diseases in the three groups were rheumatoid arthritis (43.9%, 35%, and 39%) and systemic lupus erythematosus (16.1%, 22%, and 14%) (Table 1).In Argentina, fewer patients received specific pharmacological treatment for COVID-19 (40.9%, 68% and 43% respectively, p <0.0001), and there was a lower requirement of NIMV / IMV (Non-Invasive Mechanical Ventilation/Invasive Mechanical Ventilation) than in the rest of Latin America and the world (10.5% vs 31% vs 13%, p <0.0001).Hospitalization was lower in Argentina than in the rest of Latin America (37.4% vs 61% p 0.0002) and of the world (37.4% vs 45% p 0.0123), and mortality was numerically lower in Argentina, but without statistically significant differences between the three groups (6.9%, 12% and 11%; p 0.6311). Most of the patients, (86.9%) did not present any complications in Argentina, with a statistically significant difference with the rest of the groups (62% and 77%, p <0.0001) (Graph 1).Conclusion:The patients with rheumatic diseases and SARS-CoV-2 infection reported in this argentinian registry received less specific pharmacological treatment for COVID-19, presented fewer complications and required less ventilatory support, than those reported in the Latinoamerican and Global registry. However, no statistically significant differences were observed in terms of mortality.Graph 1.Main outcomes and evolution of patients with rheumatic disease and COVID-19.References:[1]Stokes, Erin K, Zambrano, Laura D, Anderson, Kayla N, et al. Coronavirus Disease 2019 Case Surveillance - United States, January 22-May 30, 2020. MMWR Morb Mortal Wkly Rep; 69(24): 759-765, 2020 Jun 19.[2]Mehta P, McAuley DF, Brown M, et al. COVID-19: consider cytokine storm síndromes and immunosuppression. Lancet 2020;395:1033–4.[3]Gianfrancesco M, et al. Characteristics associated with hospitalisation for COVID-19 in people with rheumatic disease: data from the COVID-19 Global Rheumatology Alliance physician-reported registry. Ann Rheum Dis 2020;79:859–866.[4]Manuel F. Ugarte-Gil, et al. Characteristics associated with Covid-19 in patients with Rheumatic Disease in Latin America. Global Rheumatology. Septiembre 2020.Disclosure of Interests:Alvaro Andres Reyes Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Gelsomina Alle Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Romina Tanten Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Marina Scolnik Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Enrique Soriano Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Guillermo Berbotto Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Maria Haye Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, María Julieta Gamba Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Romina Nieto Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Mercedes García Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Veronica Savio Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Luciana Gonzalez Lucero Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Paula Alba Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Lorena Takashima Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, FABIAN RISUEÑO Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Luciana CASALLA Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Natalia Cucchiaro Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Ana Bertoli Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Sabrina POrta Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Carla Maldini Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Rosana Gallo Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Cecilia Goizueta Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Eugenia Picco Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Rosana Quintana Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Karen Roberts Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Carolina Ayelen Isnardi Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”, Guillermo Pons-Estel Grant/research support from: “Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.”
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21

Hansen, William B. y Lawrence M. Scheier. "Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants". JMIR mHealth and uHealth 7, n.º 7 (29 de julio de 2019): e14655. http://dx.doi.org/10.2196/14655.

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Background The widespread adoption of smartphones provides researchers with expanded opportunities for developing, testing and implementing interventions. National Institutes of Health (NIH) funds competitive, investigator-initiated grant applications. Funded grants represent the state of the science and therefore are expected to anticipate the progression of research in the near future. Objective The objective of this paper is to provide an analysis of the kinds of smartphone-based intervention apps funded in NIH research grants during the five-year period between 2014 and 2018. Methods We queried NIH Reporter to identify candidate funded grants that addressed mHealth and the use of smartphones. From 1524 potential grants, we identified 397 that met the requisites of including an intervention app. Each grant’s abstract was analyzed to understand the focus of intervention. The year of funding, type of activity (eg, R01, R34, and so on) and funding were noted. Results We identified 13 categories of strategies employed in funded smartphone intervention apps. Most grants included either one (35.0%) or two (39.0%) intervention approaches. These included artificial intelligence (57 apps), bionic adaptation (33 apps), cognitive and behavioral therapies (68 apps), contingency management (24 apps), education and information (85 apps), enhanced motivation (50 apps), facilitating, reminding and referring (60 apps), gaming and gamification (52 apps), mindfulness training (18 apps), monitoring and feedback (192 apps), norm setting (7 apps), skills training (85 apps) and social support and social networking (59 apps). The most frequently observed grant types included Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) grants (40.8%) and Research Project Grants (R01s) (26.2%). The number of grants funded increased through the five-year period from 60 in 2014 to 112 in 2018. Conclusions Smartphone intervention apps are increasingly competitive for NIH funding. They reflect a wide diversity of approaches that have significant potential for use in applied settings.
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22

Riley, William T., Katrina Bibb, Sara Hargrave y Paula Fearon. "Publication rates from biomedical and behavioral and social science R01s funded by the National Institutes of Health". PLOS ONE 15, n.º 11 (13 de noviembre de 2020): e0242271. http://dx.doi.org/10.1371/journal.pone.0242271.

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Prior research has shown a serious lack of research transparency resulting from the failure to publish study results in a timely manner. The National Institutes of Health (NIH) has increased its use of publication rate and time to publication as metrics for grant productivity. In this study, we analyze the publications associated with all R01 and U01 grants funded from 2008 through 2014, providing sufficient time for these grants to publish their findings, and identify predictors of time to publication based on a number of variables, including if a grant was coded as a behavioral and social sciences research (BSSR) grant or not. Overall, 2.4% of the 27,016 R01 and U01 grants did not have a publication associated with the grant within 60 months of the project start date, and this rate of zero publications was higher for BSSR grants (4.6%) than for non-BSSR grants (1.9%). Mean time in months to first publication was 15.2 months, longer for BSSR grants (22.4 months) than non-BSSR grants (13.6 months). Survival curves showed a more rapid reduction of risk to publish from non-BSSR vs BSSR grants. Cox regression models showed that human research (vs. animal, neither, or both) and clinical trials research (vs. not) are the strongest predictors of time to publication and failure to publish, but even after accounting for these and other predictors, BSSR grants continued to show longer times to first publication and greater risk of no publications than non-BSSR grants. These findings indicate that even with liberal criteria for publication (any publication associated with a grant), a small percentage of R01 and U01 grantees fail to publish in a timely manner, and that a number of factors, including human research, clinical trial research, child research, not being an early stage investigator, and conducting behavioral and social sciences research increase the risk of time to first publication.
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23

Langerbeins, Petra, Jasmin Bahlo, Christina Rhein, Paula Cramer, Anna-Maria Fink, Natali Pflug, Julia von Tresckow et al. "Ibrutinib in Early Stage CLL: Preliminary Safety Results of a Placebo-Controlled Phase III Study". Blood 126, n.º 23 (3 de diciembre de 2015): 2934. http://dx.doi.org/10.1182/blood.v126.23.2934.2934.

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Abstract Introduction Observation (watch and wait) is the standard of care for patients with asymptomatic early stage CLL. Prognostic scores can be used to predict the outcome for high-risk subgroups that have rapid disease progression and poor survival. So far early treatment intervention failed to improve survival. However with development of novel targeted drugs treatment of high-risk CLL has improved. Thus, the risk-stratified management of early stage CLL needs to be re-evaluated. The CLL12-trial is the first prospective, placebo-controlled, double-blind, phase 3 trial investigating whether ibrutinib improves event-free survival (EFS) and therefore time to therapy in early stage CLL with risk of disease progression defined by a comprehensive prognostic score (Langerbeins et al, Future Oncol, 2015). Methods In this ongoing trial subjects with confirmed asymptomatic Binet stage A CLL are risk stratified according to the CLL-score (Pflug et al, Blood, 2014). Whereas low-risk patients are being observed (watch & wait), intermediate to very high-risk patients are randomized 1:1 to receive either treatment with ibrutinib at a daily dose of 420mg or placebo. A cycle is defined as 28 calendar days. Primary endpoint is EFS defined as the time between randomization until progressive disease, subsequent CLL-treatment or death. The trial is registered at www.clinicialtrialsregister.eu(EudraCT 2013-003211-22). Results At submission of the abstract, a total of 327 patients have been screened. Main reasons for screening failure (N=65) were violation of in-/exclusion criteria (N=32), withdrawal of consent (N=24) and incomplete screening (N=9). Patients were stratified using the prognostic score as follows: low (score 0-2, N=82), intermediate (score 3-5, N=125), high (score 6-10, N=39) and very high risk (score 11-14, N=6). Low-risk patients were allocated to the observational arm. The remaining 170 patients were randomized 1:1 to the experimental arm. Thus far, a total of 587 cycles have been administered with a median treatment duration of 4 cycles per patient. 46 patients have stopped the treatment prematurely. Reasons for early discontinuation were refusal of further treatment (N=26), toxicity (N=10), disease progression (N=6), concomitant use of oral anticoagulants (N=3) and lung cancer (N=1). 26 serious adverse events (SAE) including two suspected unexpected serious adverse reactions (SUSAR) have been reported for both treatment arms (placebo vs. ibrutinib): cardiac disorders (N=6), infections (N=9), nervous system disorders (N=2), vascular disorders (N=2), musculoskeletal disorders (N=2), acute renal failure (N=1), vertigo (N=1), sigmadiverticulitis (N=1), sacrumfracture (N=1), and small cell lung cancer (N=1). 15 of the reported SAE's were deemed related to the study medication. The first SUSAR was a non-ST elevation myocardial infarction in an 82-year old male patient with high comorbidity score (CIRS=6) including known coronary heart disease, hypertension, diabetes mellitus and obesity. The second SUSAR was cerebral seizure secondary to subdural bleeding reported in a 78-year old male patient with high CIRS (N=12) and concomitant use of rivaroxaban. To minimize bleeding risk the study was amended to exclude patients using novel, oral anticoagulants. Subjects receiving direct Xa-inhibitors either changed the anticoagulant or stopped the experimental treatment. Conclusion Clinical observation has been the standard of care for early stage CLL ever since. This is the first safety report of a recruiting placebo-controlled phase III trial investigating if targeted treatment with ibrutinib delays time to first therapy in early stage CLL patients. SAE's are consistent with those previously reported for ibrutinib. Concomitant use of oral anticoagulants is prohibited due to an increased risk of bleeding. This may be seen differently in trials where patients already fulfill treatment criteria. Updated safety data will be presented at the meeting. Data from randomized first-line trials in advanced CLL suggests administering the most efficacious treatment upfront to achieve longterm-remissions and prolongation of survival. Efficacy data of the CLL12 trial will be available in 2016 and will hopefully answer this question for early stage patients and guide future management of this subgroup. Disclosures Langerbeins: Mundipharma: Honoraria, Other: travel grants, Research Funding; Hoffmann-LaRoche: Honoraria, Other: travel grants, Research Funding; Janssen: Honoraria, Other: travel grants, Research Funding. Off Label Use: Ibrutinib in early stage Binet A CLL. Rhein:Janssen: Other: travel grants. Cramer:Astellas: Other: Travel grant; Gilead: Other: Travel grant, Research Funding; Janssen: Other: Travel grant, Research Funding, Speakers Bureau; Hoffman LaRoche: Other: Travel grant, Research Funding, Speakers Bureau; Glaxo Smith Klein/Novartis: Research Funding; Mundipharma: Other: Travel grant. Fink:Roche: Honoraria, Other: travel grant. Pflug:Celgene: Other: Travel grant. von Tresckow:Celgene: Other: travel grants; Janssen-Cilag: Honoraria, Research Funding; Hoffman-LaRoche: Other: travel grants, Research Funding. Stilgenbauer:AbbVie: Consultancy, Other: travel grants, Research Funding; Amgen: Consultancy, Other: travel grants, Research Funding; Boehringer-Ingelheim: Consultancy, Other: travel grants, Research Funding; Celgene: Consultancy, Other: travel grants, Research Funding; Hoffman-LaRoche: Consultancy, Honoraria, Other: travel grants, Research Funding; Genentech: Consultancy, Other: travel grants, Research Funding; Genzyme: Consultancy, Other: travel grants, Research Funding; Gilead: Consultancy, Other: travel grants, Research Funding; GlaxoSmithKline: Consultancy, Other: travel grants, Research Funding; Janssen: Consultancy, Other: travel grants, Research Funding; Mundipharma: Consultancy, Other: travel grants, Research Funding. Eckart:Gilead: Honoraria; Roche: Other: travel grant. Balser:Iomedico: Other: travel grant; Janssen: Consultancy; Roche: Other: travel grant. Wendtner:Celege: Consultancy, Other: Travel grants, Research Funding; Mundipharma: Consultancy, Other: travel grants, Research Funding; Janssen-Cilag: Consultancy, Other: travel grants, Research Funding; Glaxo-SmithKline: Consultancy, Other: travel grants, Research Funding; Gilead: Consultancy, Other: travel grants, Research Funding; Genentech: Consultancy, Other: travel grants, Research Funding; Hoffmann-LaRoche: Consultancy, Other: travel grants, Research Funding; AbbVie: Consultancy, Other: travel grants, Research Funding; Pharmacyclics: Consultancy, Other: travel grants, Research Funding. Fischer:Roche: Other: Travel Grants. Eichhorst:AbbVie: Consultancy, Other: travel support, Research Funding; Celgene: Consultancy, Other: travel grant, Research Funding; Hoffman-LaRoche: Consultancy, Other: travel grant, Research Funding; Gilead: Consultancy, Other: travel grant, Research Funding; Janssen: Consultancy, Other: travel grant, Research Funding; Mundipharma: Consultancy, Other: travel grant, Research Funding. Hallek:Janssen: Honoraria, Other: Speakers Bureau and/or Advisory Board, Research Funding; Gilead: Honoraria, Other: Speakers Bureau and/or Advisory Board, Research Funding; AbbVie: Honoraria, Other: Speakers Bureau and/or Advisory Board, Research Funding; Boehringher Ingelheim: Honoraria, Other: Speakers Bureau and/or Advisory Board; Celgene: Honoraria, Other: Speakers Bureau and/or Advisory Board, Research Funding; Pharmacyclics: Honoraria, Other: Speakers Bureau and/or Advisory Board, Research Funding; Mundipharma: Honoraria, Other: Speakers Bureau and/or Advisory Board, Research Funding; Roche: Honoraria, Other: Speakers Bureau and/or Advisory Board, Research Funding.
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Beardsley, Tim. "NIH research grants: Multi-year grants on ice". Nature 314, n.º 6012 (abril de 1985): 573. http://dx.doi.org/10.1038/314573a0.

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Nugroho, Candra Setya y Wawan Dharma Setiawan. "Model Inovasi Hibah dan Bansos Online Kota Bandung". Jurnal Wacana Kinerja: Kajian Praktis-Akademis Kinerja dan Administrasi Pelayanan Publik 20, n.º 1 (25 de noviembre de 2018): 91. http://dx.doi.org/10.31845/jwk.v20i1.124.

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The management of grants and bansos funds has become a problem in several local governments. The problem of grant and bansos management is related to transparency and accountability. Bandung City Government seeks to improve its public services by innovating the management of grants and bansos through the media website called Sabilulungan or Grants and Bansos Online to solve the problem. Through this research there will be discussed related to the management model of grants and bansos through grants and online bansos. This research uses descriptive qualitative research method (more specifically with the method of "action research") to see clearly the management of grants and bansos melelui innovation grants and bansos online. Based on the results of this study found that this innovation is very beneficial in the management of grant funds and bansos mainly improve transparency and accountability. This innovation has a positive impact that can be replicated by other regions
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Connor, Ulla y Anna Mauranen. "Linguistic Analysis of Grant Proposals: European Union Research Grants". English for Specific Purposes 18, n.º 1 (marzo de 1999): 47–62. http://dx.doi.org/10.1016/s0889-4906(97)00026-4.

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Pratt, Charlotte y Sam Feudo. "A Portfolio Analysis of Nutritional Biomarkers in NIH- and NHLBI-funded Research, 2008–2020". Current Developments in Nutrition 6, Supplement_1 (junio de 2022): 390. http://dx.doi.org/10.1093/cdn/nzac054.045.

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Abstract Objectives Nutrition biomarkers are important in elucidating disease risks and severity, as surrogate markers of nutritional status, and provide objective measures of dietary intake. This study analyzed grants that investigated nutritional biomarkers and were funded between 2008 and 2020 by the National Heart, Lung, and Blood Institute (NHLBI) and across the National Institutes of Health (NIH). Methods Data were extracted using the NIH iSearch portfolio analysis platform to curate grant applications to the NIH and NHLBI. Keywords included nutrition or diet, followed by omics, metabolomics, lipidomics, proteomics, transcriptomics, genomics, and epigenomics. Funded and unfunded nutri-omics grants were separated and examined for keywords for total expenditures, Research, Condition, and Disease Categorization (RCDC) categories, administering Institute, fiscal year, Early-Stage Investigator eligibility, and organization. Citation and publication data stemming from each awarded grant were collated using iCite. Results The total number of NIH- and NHLBI-funded grants in nutri-omics biomarkers was 1,143 and 95, respectively from 2008–2020. Total dollar amount of NIH-funded grants in nutri-omics biomarkers increased from $15M in 2008 to $59.5M in 2019 and declined to $47M in 2020. NHLBI funded grants increased substantially during the same years from $1.8M in 2008 to $7.5M in 2020. During the 12-year period, the proportion of ESI grants among funded grants increased by about 10-fold across NIH and 2-fold for NHLBI. There was an increase in the number of NHLBI research publications (500%) and relative citation ratios (RCR) (150%). Funded grants were concentrated along the East and West coasts of the United States. Major foam tree topics from NHLBI-administered nutri-omics grants included cardiovascular disease, dietary patterns, obesity, human genome, risk factors, microbiome, TMAO (trimethyl amine oxide), and fatty acids. Conclusions The analysis indicated increased funding in nutri-omics biomarkers. However, major gaps remain in topics categorized as nutrition biomarkers in NHLBI- and NIH-funded grants. More research is needed to characterize and examine novel biomarkers in NIH-funded grants. Funding Sources Not applicable.
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Dakhil, ZA. "Diversity in the european association of cardiovascular imaging (EACVI) research and training grants: gender, geographic and economic perspectives". European Heart Journal - Cardiovascular Imaging 23, Supplement_1 (1 de febrero de 2022). http://dx.doi.org/10.1093/ehjci/jeab289.302.

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Abstract Funding Acknowledgements Type of funding sources: None. Background Training and research grants are crucial for professional and academic advancement especially in a rapidly evolving specialty like cardiac imaging. Equity, inclusion and diversity in funding research and training are fundamental in achieving research and training excellence. No prior data evaluated the diversity in the research and training grants awarded by international cardiovascular societies. Purpose Current analysis aimed to evaluate the distribution of awarded EACVI grants according to the country and gender of the grantsˈ winners. Methods Official ESC website was searched for names of EACVI research and training grantsˈ winners, gender, and affiliating country as well as hosting country of the awardee were documented. If any of this data was missed in the ESC website, then the awardeesˈ gender and affiliation were searched via google scholar, ResearchGate and LinkedIn platforms. The countries of the awardees were classified according to the continent and World Bank Economic classification [High income (HIC), middle (MIC) and low income (LIC) countries]. Results A total of 57 EACVI grants[36 research grants (from 2009 to 2021) and 21 training grants (from 2015 to 2021)] were analysed. Women won 54.38% of total grants [55.56% of research grants and 52.38% of training grants]. Winners of research grants were from HIC and MIC in 63.89% and 36.11% respectively, while winners of training grants were from HIC and MIC in 66.67% and 33.33% respectively. Winners of research grants were from Europe in 80.55%, and Asia in 16.66%, while winners of training grants were from Europe in 66.67% and Asia in 19.04%. The most common EACVI research grant hosting countries were Belgium (27.77%), UK (22.22%), Netherlands and Italy (16.66% for each), while the most common EACVI training grant hosting countries were UK (52.38%), Italy (23.8%) and Belgium (9.52%). Conclusions Women were well represented in EACVI research and training grants. Yet, both low-income countries and non-European countries were remarkably under-represented in EACVI grants. Considering the high burden of cardiovascular diseases in LIC and MIC, every effort should be made to increasingly include cardiologists from these countries in research and training opportunities to achieve the main ESC mission of decreasing the cardiovascular disease burden worldwide beyond the limits of geography. Abstract Figure. Abstract Figure.
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"Research Grants". International Society of Hair Restoration Surgery 6, n.º 6 (noviembre de 1996): 19.3–19. http://dx.doi.org/10.33589/6.6.19c.

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"Research grants". Power Engineering Journal 12, n.º 1 (1 de febrero de 1998): 15–16. http://dx.doi.org/10.1049/pe:19980104.

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"Research grants". Power Engineering Journal 12, n.º 2 (1 de abril de 1998): 71–72. http://dx.doi.org/10.1049/pe:19980206.

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"Research grants". Power Engineering Journal 12, n.º 3 (1 de junio de 1998): 123. http://dx.doi.org/10.1049/pe:19980308.

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"Research grants". Power Engineering Journal 12, n.º 4 (1 de agosto de 1998): 171–72. http://dx.doi.org/10.1049/pe:19980408.

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"Research grants". Power Engineering Journal 12, n.º 5 (1 de octubre de 1998): 237–38. http://dx.doi.org/10.1049/pe:19980508.

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"Research grants". Power Engineering Journal 12, n.º 6 (1 de diciembre de 1998): 267–68. http://dx.doi.org/10.1049/pe:19980604.

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"Research grants". Power Engineering Journal 13, n.º 1 (1 de febrero de 1999): 13–14. http://dx.doi.org/10.1049/pe:19990105.

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"Research grants". Power Engineering Journal 13, n.º 2 (1 de abril de 1999): 79–80. http://dx.doi.org/10.1049/pe:19990206.

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"Research grants". Power Engineering Journal 13, n.º 3 (1 de junio de 1999): 171–74. http://dx.doi.org/10.1049/pe:19990312.

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"Research grants". Power Engineering Journal 13, n.º 4 (1 de agosto de 1999): 211–12. http://dx.doi.org/10.1049/pe:19990407.

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"Research grants". Power Engineering Journal 13, n.º 5 (1 de octubre de 1999): 257–58. http://dx.doi.org/10.1049/pe:19990507.

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"Research grants". Power Engineering Journal 14, n.º 2 (1 de abril de 2000): 46–47. http://dx.doi.org/10.1049/pe:20000203.

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"Research grants". Power Engineering Journal 16, n.º 5 (1 de octubre de 2002): 249–50. http://dx.doi.org/10.1049/pe:20020508.

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"Research Grants". Anthropology News 29, n.º 3 (marzo de 1988): 15. http://dx.doi.org/10.1111/an.1988.29.3.15.2.

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"Research Grants". Journal of the Intensive Care Society 7, n.º 1 (abril de 2006): 8. http://dx.doi.org/10.1177/175114370600700105.

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"Research Grants". Anthropology News 39, n.º 8 (noviembre de 1998): 26. http://dx.doi.org/10.1111/an.1998.39.8.26.11.

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"Research Grants". Occupational Therapy Journal of Research 12, n.º 4 (julio de 1992): 256. http://dx.doi.org/10.1177/153944929201200405.

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"Research Grants". Journal of Hospital Infection 72, n.º 1 (mayo de 2009): 96. http://dx.doi.org/10.1016/s0195-6701(09)00102-9.

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"Research Grants". Journal of Hospital Infection 72, n.º 2 (junio de 2009): 191. http://dx.doi.org/10.1016/s0195-6701(09)00160-1.

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"Research Grants". Journal of Hospital Infection 75, n.º 2 (junio de 2010): 150. http://dx.doi.org/10.1016/s0195-6701(10)00160-x.

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"Research grants". International Journal of Obstetric Anesthesia 5, n.º 2 (abril de 1996): 143. http://dx.doi.org/10.1016/s0959-289x(96)80020-3.

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