Institution
Texas A&M University
Education•College Station, Texas, United States•
About: Texas A&M University is a education organization based out in College Station, Texas, United States. It is known for research contribution in the topics: Population & Gene. The organization has 72169 authors who have published 164372 publications receiving 5764236 citations.
Papers published on a yearly basis
Papers
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TL;DR: Students were less satisfied with the flipped classroom method than with either of the other methods, suggesting that blending new teaching technologies with interactive classroom activities can result in improved learning but not necessarily improved student satisfaction.
Abstract: This study aimed to determine the effects of a flipped classroom (i.e., reversal of time allotment for lecture and homework) and innovative learning activities on academic success and the satisfaction of nursing students. A quasi-experimental design was used to compare three approaches to learning: traditional lecture only (LO), lecture and lecture capture back-up (LLC), and the flipped classroom approach of lecture capture with innovative classroom activities (LCI). Examination scores were higher for the flipped classroom LCI group (M = 81.89, SD = 5.02) than for both the LLC group (M = 80.70, SD = 4.25), p = 0.003, and the LO group (M = 79.79, SD = 4.51), p < 0.001. Students were less satisfied with the flipped classroom method than with either of the other methods (p < 0.001). Blending new teaching technologies with interactive classroom activities can result in improved learning but not necessarily improved student satisfaction.
576 citations
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TL;DR: This paper discussed and compared several techniques to evaluate mathematical models designed for predictive purposes and proper investigation regarding the purposes for which the mathematical model was initially conceptualized and developed for.
576 citations
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TL;DR: In this paper, the trace of the stress tensor of a conformally invariant quantum field theory may be nonzero (anomalous), but must be proportional (here) to the Weyl scalar.
Abstract: The general spherically symmetric, static solution of ${\ensuremath{
abla}}_{\ensuremath{
u}}{T}_{\ensuremath{\mu}}^{\ensuremath{
u}} = 0$ in the exterior Schwarzschild metric is expressed in terms of two integration constants and two arbitrary functions, one of which is the trace of ${T}_{\ensuremath{\mu}\ensuremath{
u}}$. One constant is the magnitude of ${T}_{\mathrm{tr}}$ at infinity, and the other is determined if the physically normalized components of ${T}_{\ensuremath{\mu}\ensuremath{
u}}$ are finite on the future horizon. The trace of the stress tensor of a conformally invariant quantum field theory may be nonzero (anomalous), but must be proportional (here) to the Weyl scalar, $48{M}^{2}{r}^{\ensuremath{-}6}$; we fix the coefficient for the scalar field by indirect arguments to be ${(2880{\ensuremath{\pi}}^{2})}^{\ensuremath{-}1}$. In the two-dimensional analog, the magnitude of the Hawking blackbody effect at infinity is directly proportional to the magnitude of the anomalous trace (a multiple of the curvature scalar); a knowledge of either number completely determines the stress tensor outside a body in the final state of collapse. In four dimensions, one obtains instead a relation constraining the remaining undetermined function, which we choose as ${T}_{\ensuremath{\theta}}^{\ensuremath{\theta}}\ensuremath{-}\frac{{T}_{\ensuremath{\alpha}}^{\ensuremath{\alpha}}}{4}$. This, plus additional physical and mathematical considerations, leads us to a fairly definite, physically convincing qualitative picture of $〈{T}_{\ensuremath{\mu}\ensuremath{
u}}〉$. Groundwork is laid for explicit calculations of $〈{T}_{\ensuremath{\mu}\ensuremath{
u}}〉$.
576 citations
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TL;DR: The benefits of these vaccines for preventing asymptomatic and symptomatic SARS-CoV-2 (the virus that causes COVID-19) infection, particularly when administered in real-world conditions, is less well understood as discussed by the authors.
Abstract: Messenger RNA (mRNA) BNT162b2 (Pfizer-BioNTech) and mRNA-1273 (Moderna) COVID-19 vaccines have been shown to be effective in preventing symptomatic COVID-19 in randomized placebo-controlled Phase III trials (1,2); however, the benefits of these vaccines for preventing asymptomatic and symptomatic SARS-CoV-2 (the virus that causes COVID-19) infection, particularly when administered in real-world conditions, is less well understood Using prospective cohorts of health care personnel, first responders, and other essential and frontline workers* in eight US locations during December 14, 2020-March 13, 2021, CDC routinely tested for SARS-CoV-2 infections every week regardless of symptom status and at the onset of symptoms consistent with COVID-19-associated illness Among 3,950 participants with no previous laboratory documentation of SARS-CoV-2 infection, 2,479 (628%) received both recommended mRNA doses and 477 (121%) received only one dose of mRNA vaccine† Among unvaccinated participants, 138 SARS-CoV-2 infections were confirmed by reverse transcription-polymerase chain reaction (RT-PCR) per 1,000 person-days§ In contrast, among fully immunized (≥14 days after second dose) persons, 004 infections per 1,000 person-days were reported, and among partially immunized (≥14 days after first dose and before second dose) persons, 019 infections per 1,000 person-days were reported Estimated mRNA vaccine effectiveness for prevention of infection, adjusted for study site, was 90% for full immunization and 80% for partial immunization These findings indicate that authorized mRNA COVID-19 vaccines are effective for preventing SARS-CoV-2 infection, regardless of symptom status, among working-age adults in real-world conditions COVID-19 vaccination is recommended for all eligible persons
576 citations
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TL;DR: In this paper, two-particle angular correlations for charged particles emitted in pPb collisions at a nucleon-nucleon center-of-mass energy of 5.02 TeV are presented.
575 citations
Authors
Showing all 72708 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Chen | 217 | 4342 | 293080 |
Scott M. Grundy | 187 | 841 | 231821 |
Evan E. Eichler | 170 | 567 | 150409 |
Yang Yang | 164 | 2704 | 144071 |
Martin Karplus | 163 | 831 | 138492 |
Robert Stone | 160 | 1756 | 167901 |
Philip Cohen | 154 | 555 | 110856 |
Claude Bouchard | 153 | 1076 | 115307 |
Jongmin Lee | 150 | 2257 | 134772 |
Zhenwei Yang | 150 | 956 | 109344 |
Vivek Sharma | 150 | 3030 | 136228 |
Frede Blaabjerg | 147 | 2161 | 112017 |
Steven L. Salzberg | 147 | 407 | 231756 |
Mikhail D. Lukin | 146 | 606 | 81034 |
John F. Hartwig | 145 | 714 | 66472 |