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Journal articles on the topic 'Superlearning'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 April 2022

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1

Ostrander, S., L. Schroeder, and Ed Blankenhagen. "Superlearning." Performance + Instruction 30, no. 7 (1991): 36. http://dx.doi.org/10.1002/pfi.4170300712.

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2

Duin, Robert P. W. "Superlearning and neural network magic." Pattern Recognition Letters 15, no. 3 (1994): 215–17. http://dx.doi.org/10.1016/0167-8655(94)90052-3.

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3

Cooper, Jennifer N., Peter C. Minneci, and Katherine J. Deans. "Postoperative neonatal mortality prediction using superlearning." Journal of Surgical Research 221 (January 2018): 311–19. http://dx.doi.org/10.1016/j.jss.2017.09.002.

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4

Urushihara, Kouji, and Ralph R. Miller. "Causal superlearning arising from interactions among cues." Journal of Experimental Psychology: Animal Learning and Cognition 43, no. 2 (2017): 183–96. http://dx.doi.org/10.1037/xan0000137.

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5

URUSHIHARA, Kouji. "Superlearning effect in an assosiative learning situation of human." Proceedings of the Annual Convention of the Japanese Psychological Association 75 (September 15, 2011): 3EV091. http://dx.doi.org/10.4992/pacjpa.75.0_3ev091.

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6

Urushihara, Kouji. "Associative learning or propositional reasoning?: Examination of confidence ratings in superlearning effect." Proceedings of the Annual Convention of the Japanese Psychological Association 82 (September 25, 2018): 2AM—080–2AM—080. http://dx.doi.org/10.4992/pacjpa.82.0_2am-080.

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7

Felix, Uschi. "Suggestopädie und superlearning—empirisch geprüft. Einführung und weiterentwicklung für schule und erwachsenenbildung." System 18, no. 3 (1990): 383–87. http://dx.doi.org/10.1016/0346-251x(90)90012-t.

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8

URUSHIHARA, Kouji. "The effect of recency between training and testing on superlearning effect of human." Proceedings of the Annual Convention of the Japanese Psychological Association 76 (September 11, 2012): 3AMA03. http://dx.doi.org/10.4992/pacjpa.76.0_3ama03.

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9

Hubbard, Alan, Ivan Diaz Munoz, Anna Decker, et al. "Time-dependent prediction and evaluation of variable importance using superlearning in high-dimensional clinical data." Journal of Trauma and Acute Care Surgery 75 (July 2013): S53—S60. http://dx.doi.org/10.1097/ta.0b013e3182914553.

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10

Urushihara, Kouji. "Associative learning or propositional reasoning?: An experimental analysis on underlying mechanism of superlearning effect in human." Proceedings of the Annual Convention of the Japanese Psychological Association 78 (September 10, 2014): 3PM—1–063–3PM—1–063. http://dx.doi.org/10.4992/pacjpa.78.0_3pm-1-063.

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11

Pllana, Duli. "Combining Teaching Strategies, Learning Strategies, and Elements of Super Learning Principles." Advances in Social Sciences Research Journal 8, no. 6 (2021): 288–301. http://dx.doi.org/10.14738/assrj.86.10366.

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Abstract:

Blending teaching strategies, learning strategies, and elements of super learning principles increase learning outcomes tremendously in any case, situation, or academic subject. Employing teaching and learning strategies adequately impact on an interactive session (academic subjects or any field) to a great degree, enhance learners’ motivation significantly, improve self confidence and self esteem of learners considerably, and soar learning outcomes substiantly. It is impossible to combine all learning and teaching strategies (there are many techniques, and a small space time to incorporate them in one lesson or an academic subject.) in an academic subject entirely. Accordingly, strategic teaching or learning establishes skills or techniques in addressing a lesson or digesting information from the lesson. Also, learning results depend on the quantity and quality of combining learning and teaching strategies, and components of super learning principles. The greater the participation of mixing techniques or skills in a lesson, the greater are the positive results in the learning outcomes. Teaching and learning strategies, and superlearning elements are in a close relationship with each other; teaching strategies imply learning strategies and elements of super learning. Combination of the three ingredients play a crucial part in any lesson, academic subject, or general knowledge; mixing all these three components together wisely maximizes learning outcomes enormously.

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12

Dufeu, Bernard. "Schiffler, Ludger: Suggestopädie und Superlearning - empirisch geprüft. Einführung und Weiterentwicklung für Schule und Erwachsenenbildung. Frankfurt/M. : Diesterweg, 1989. — ISBN 3-425-04446-X. 184 Seiten, DM 38." Informationen Deutsch als Fremdsprache 17, no. 5-6 (1990): 635–40. http://dx.doi.org/10.1515/infodaf-1990-175-674.

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13

Graf, Eckart. "Rupprecht R. Baur: Superlearning und Suggestopädie. Grundlagen – Anwendung – Kritik – Perspektiven." Deutsch als Fremdsprache, no. 1 (January 1, 1992). http://dx.doi.org/10.37307/j.2198-2430.1992.01.20.

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14

"ヒトの連合学習場面における超学習(Superlearning)現象の検討". Proceedings of the Annual Convention of the Japanese Psychological Association 72 (19 вересня 2008): 1AM102. http://dx.doi.org/10.4992/pacjpa.72.0_1am102.

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15

Kempker, R. R., L. Mikiashvili, Y. Zhao, et al. "Clinical Outcomes among Patients with Drug-resistant Tuberculosis receiving Bedaquiline or Delamanid Containing Regimens." Clinical Infectious Diseases, November 12, 2019. http://dx.doi.org/10.1093/cid/ciz1107.

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Abstract Background Bedaquiline and delamanid are newly available drugs for treating multidrug-resistant tuberculosis (MDR TB); however, there is limited data guiding their use and no comparison studies. Methods We conducted a prospective observational study among patients with MDR TB in Georgia receiving a bedaquiline or delamanid-based treatment regimen. Monthly sputum cultures, minimal inhibitory concentration testing, and adverse event monitoring were performed. Primary outcomes were culture conversion rates and clinical outcomes. Targeted maximum likelihood estimation (TMLE) and superlearning were utilized to produce a covariate-adjusted proportion of outcomes for each regimen. Results Among 156 patients with MDR TB, 100 were enrolled and 95 were receiving a bedaquiline (n=64) or delamanid (n=31) based regimen. Most were male (82%) and the median age was 38 years. Rates of previous treatment (56%) and cavitary disease (61%) were high. The most common companion drugs included linezolid, clofazimine, cycloserine and a fluoroquinolone. Median effective drugs received among patients on bedaquiline (4, IQR 4-4) and delamanid (4, IQR 3.5-5) based regimens were similar. Rates of acquired drug resistance were significantly higher among patients receiving delamanid versus bedaquiline (36% vs. 10%, p <0.01). Adjusted rates of sputum culture conversion at two months (67 vs. 47%, p=0.10) and six months (95 vs. 74%, p<0.01) and favorable clinical outcomes (96 vs. 72%, p<0.01) were higher among patients receiving bedaquiline versus delamanid. Conclusions Among patients with MDR TB, bedaquiline-based regimens were associated with higher rates of sputum culture conversion and favorable outcomes and a lower rate of acquired drug resistance versus delamanid-based regimens.

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16

Dipamo, B., and R. F. S. Job. "An evaluation of SALT (Suggestive-accelerative learning and teaching) techniques." Australasian Journal of Educational Technology 6, no. 1 (1990). http://dx.doi.org/10.14742/ajet.2315.

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<p>So that you know the structure of this paper, and so that you may select particular sections of interest to you for careful reading, the sequence of sections and their contents is outlined below.</p><table cellpadding="2" width="90%" align="center"><tbody><tr valign="top"><td>Section 1:</td><td>Introduction to the need for accelerative learning and the claims made about the system.</td></tr><tr valign="top"><td>Section 2:</td><td>A description of the various techniques employed in Suggestopedia, SALT and Superlearning. The component parts are assessed in terms of the studies which have attempted to evaluate isolated components.</td></tr><tr valign="top"><td>Section 3:</td><td>An analysis of the apparently extraneous factors which may influence the outcome of the studies.</td></tr><tr valign="top"><td>Section 4:</td><td>Outline of the range of results reported in evaluating the techniques.</td></tr><tr valign="top"><td>Section 5:</td><td>Review of the methodology of reported studies, in order to assess the validity of the results produced.</td></tr><tr valign="top"><td>Section 6:</td><td>Brief outline of the methodology of the present study.</td></tr><tr valign="top"><td>Section 7:</td><td>Description of the results of the present study.</td></tr><tr valign="top"><td>Section 8:</td><td>Conclusion from the present study and the literature review.</td></tr></tbody></table>

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17

Reece, Albert Stuart, and Gary Kenneth Hulse. "Contemporary epidemiology of rising atrial septal defect trends across USA 1991–2016: a combined ecological geospatiotemporal and causal inferential study." BMC Pediatrics 20, no. 1 (2020). http://dx.doi.org/10.1186/s12887-020-02431-z.

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Abstract Background Cardiovascular anomalies are the largest group of congenital anomalies and the major cause of death in young children, with various data linking rising atrial septal defect incidence (ASDI) with prenatal cannabis exposure. Objectives / Hypotheses. Is cannabis associated with ASDI in USA? Is this relationship causal? Methods Geospatiotemporal cohort study, 1991–2016. Census populations of adults, babies, congenital anomalies, income and ethnicity. Drug exposure data on cigarettes, alcohol abuse, past month cannabis use, analgesia abuse and cocaine taken from National Survey of Drug Use and Health (78.9% response rate). Cannabinoid concentrations from Drug Enforcement Agency. Inverse probability weighted (ipw) regressions. Analysis conducted in R. Results ASDI rose nationally three-fold from 27.4 to 82.8 / 10,000 births 1991–2014 during a period when tobacco and alcohol abuse were falling but cannabis was rising. States including Nevada, Kentucky, Mississippi and Tennessee had steeply rising epidemics (Time: Status β-estimate = 10.72 (95%C.I. 8.39–13.05), P < 2.0 × 10 − 16). ASDI was positively related to exposure to cannabis and most cannabinoids. Drug exposure data was near-complete from 2006 thus restricting spatial modelling from 2006 to 2014, N = 282. In geospatial regression models cannabis: alcohol abuse term was significant (β-estimate = 19.44 (9.11, 29.77), P = 2.2 × 10 − 4); no ethnic or income factors survived model reduction. Cannabis legalization was associated with a higher ASDI (Time: Status β-estimate = 0.03 (0.01, 0.05), P = 1.1 × 10 -3). Weighted panel regression interactive terms including cannabis significant (from β-estimate = 1418, (1080.6, 1755.4), P = 7.3 × 10 -15). Robust generalized linear models utilizing inverse probability weighting interactive terms including cannabis appear (from β-estimate = 78.88, (64.38, 93.38), P = 1.1 × 10 -8). Marginal structural models with machine-aided SuperLearning association of ASDI with high v. low cannabis exposure R.R. = 1.32 (1.28, 1.36). Model e-values mostly > 1.5. Conclusions ASDI is associated with cannabis use, frequency, intensity and legalization in a spatiotemporally significant manner, robust to socioeconomicodemographic adjustment and fulfilled causal criteria, consistent with multiple biological mechanisms and similar reports from Hawaii, Colorado, Canada and Australia. Not only are these results of concern in themselves, but they further imply that our list of the congenital teratology of cannabis is as yet incomplete, and highlight in particular cardiovascular toxicology of prenatal cannabinoid and drug exposure.

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