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Showing 337 to 341 of 341 entries
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Physics-informed machine learning: case studies for weather and climate modelling.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Kashinath K, Mustafa M, Albert A, Wu JL, Jiang C, Esmaeilzadeh S, Azizzadenesheli K, Wang R, Chattopadhyay A, Singh A, Manepalli A, Chirila D, Yu R, Walters R, White B, Xiao H, Tchelepi HA, Marcus P, Anandkumar A, Hassanzadeh P, Prabhat.
PMID: 33583262
Philos Trans A Math Phys Eng Sci. 2021 Apr 05;379(2194):20200093. doi: 10.1098/rsta.2020.0093. Epub 2021 Feb 15.

Machine learning (ML) provides novel and powerful ways of accurately and efficiently recognizing complex patterns, emulating nonlinear dynamics, and predicting the spatio-temporal evolution of weather and climate processes. Off-the-shelf ML models, however, do not necessarily obey the fundamental governing...

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Kashinath K, Mustafa M, Albert A, et al. Physics-informed machine learning: case studies for weather and climate modelling. Philos Trans A Math Phys Eng Sci. 2021;379(2194):20200093doi: 10.1098/rsta.2020.0093.
Kashinath, K., Mustafa, M., Albert, A., Wu, J. L., Jiang, C., Esmaeilzadeh, S., Azizzadenesheli, K., Wang, R., Chattopadhyay, A., Singh, A., Manepalli, A., Chirila, D., Yu, R., Walters, R., White, B., Xiao, H., Tchelepi, H. A., Marcus, P., Anandkumar, A., Hassanzadeh, P., & Prabhat. (2021). Physics-informed machine learning: case studies for weather and climate modelling. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 379(2194), 20200093. https://doi.org/10.1098/rsta.2020.0093
Kashinath, K, et al. "Physics-informed machine learning: case studies for weather and climate modelling." Philosophical transactions. Series A, Mathematical, physical, and engineering sciences vol. 379,2194 (2021): 20200093. doi: https://doi.org/10.1098/rsta.2020.0093
Kashinath K, Mustafa M, Albert A, Wu JL, Jiang C, Esmaeilzadeh S, Azizzadenesheli K, Wang R, Chattopadhyay A, Singh A, Manepalli A, Chirila D, Yu R, Walters R, White B, Xiao H, Tchelepi HA, Marcus P, Anandkumar A, Hassanzadeh P, Prabhat. Physics-informed machine learning: case studies for weather and climate modelling. Philos Trans A Math Phys Eng Sci. 2021 Apr 05;379(2194):20200093. doi: 10.1098/rsta.2020.0093. Epub 2021 Feb 15. PMID: 33583262.
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Differential Antimicrobial Efficacy of Multipurpose Solutions against Acanthamoeba Trophozoites.

Optometry and vision science : official publication of the American Academy of Optometry

Walters R, Miller E, Campolo A, Gabriel MM, Shannon P, McAnally C, Crary M.
PMID: 34686635
Optom Vis Sci. 2021 Dec 01;98(12):1379-1386. doi: 10.1097/OPX.0000000000001819.

SIGNIFICANCE: This investigation examines the effectiveness of several common contact lens solutions in the disinfection of Acanthamoeba, which causes a serious eye infection most often resulting from dysfunctional or improper use of contact lens products.PURPOSE: Acanthamoeba keratitis is an...

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Walters R, Miller E, Campolo A, et al. Differential Antimicrobial Efficacy of Multipurpose Solutions against Acanthamoeba Trophozoites. Optom Vis Sci. 2021;98(12):1379-1386doi: 10.1097/OPX.0000000000001819.
Walters, R., Miller, E., Campolo, A., Gabriel, M. M., Shannon, P., McAnally, C., & Crary, M. (2021). Differential Antimicrobial Efficacy of Multipurpose Solutions against Acanthamoeba Trophozoites. Optometry and vision science : official publication of the American Academy of Optometry, 98(12), 1379-1386. https://doi.org/10.1097/OPX.0000000000001819
Walters, Rhonda, et al. "Differential Antimicrobial Efficacy of Multipurpose Solutions against Acanthamoeba Trophozoites." Optometry and vision science : official publication of the American Academy of Optometry vol. 98,12 (2021): 1379-1386. doi: https://doi.org/10.1097/OPX.0000000000001819
Walters R, Miller E, Campolo A, Gabriel MM, Shannon P, McAnally C, Crary M. Differential Antimicrobial Efficacy of Multipurpose Solutions against Acanthamoeba Trophozoites. Optom Vis Sci. 2021 Dec 01;98(12):1379-1386. doi: 10.1097/OPX.0000000000001819. PMID: 34686635.
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Gender and Negotiator Competitiveness: A Meta-analysis.

Organizational behavior and human decision processes

Walters AE, Stuhlmacher AF, Meyer LL.
PMID: 9756737
Organ Behav Hum Decis Process. 1998 Oct;76(1):1-29. doi: 10.1006/obhd.1998.2797.

Although there have been numerous investigations into the relationship between gender and bargaining competitiveness over the past several decades, few conclusions have been reached. The results of 62 research reports on the relationship between gender and competitive behavior in...

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Walters AE, Stuhlmacher AF, Meyer LL. Gender and Negotiator Competitiveness: A Meta-analysis. Organ Behav Hum Decis Process. 1998;76(1):1-29doi: 10.1006/obhd.1998.2797.
Walters, A. E., Stuhlmacher, A. F., & Meyer, L. L. (1998). Gender and Negotiator Competitiveness: A Meta-analysis. Organizational behavior and human decision processes, 76(1), 1-29. https://doi.org/10.1006/obhd.1998.2797
Walters, et al. "Gender and Negotiator Competitiveness: A Meta-analysis." Organizational behavior and human decision processes vol. 76,1 (1998): 1-29. doi: https://doi.org/10.1006/obhd.1998.2797
Walters AE, Stuhlmacher AF, Meyer LL. Gender and Negotiator Competitiveness: A Meta-analysis. Organ Behav Hum Decis Process. 1998 Oct;76(1):1-29. doi: 10.1006/obhd.1998.2797. PMID: 9756737.
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Retrospective study demonstrating therapy time impact on inpatient rehabilitation functional gains.

Disability and rehabilitation

Roberts PS, Ouellette D, Solis N, Walters R, Chambers K, Brown D, DiVita MA.
PMID: 33899629
Disabil Rehabil. 2021 Apr 26;1-9. doi: 10.1080/09638288.2021.1912836. Epub 2021 Apr 26.

PURPOSE: The purpose of this retrospective study is to evaluate the association of total therapy time during inpatient rehabilitation and gain in functional independence for patients admitted to an inpatient rehabilitation facility (IRF).MATERIALS AND METHODS: The study utilized a...

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Roberts PS, Ouellette D, Solis N, et al. Retrospective study demonstrating therapy time impact on inpatient rehabilitation functional gains. Disabil Rehabil. 2021;1-9doi: 10.1080/09638288.2021.1912836.
Roberts, P. S., Ouellette, D., Solis, N., Walters, R., Chambers, K., Brown, D., & DiVita, M. A. (2021). Retrospective study demonstrating therapy time impact on inpatient rehabilitation functional gains. Disability and rehabilitation, 1-9. https://doi.org/10.1080/09638288.2021.1912836
Roberts, Pamela S, et al. "Retrospective study demonstrating therapy time impact on inpatient rehabilitation functional gains." Disability and rehabilitation vol. (2021): 1-9. doi: https://doi.org/10.1080/09638288.2021.1912836
Roberts PS, Ouellette D, Solis N, Walters R, Chambers K, Brown D, DiVita MA. Retrospective study demonstrating therapy time impact on inpatient rehabilitation functional gains. Disabil Rehabil. 2021 Apr 26;1-9. doi: 10.1080/09638288.2021.1912836. Epub 2021 Apr 26. PMID: 33899629.
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Investigation of convergent and divergent genetic influences underlying schizophrenia and alcohol use disorder.

Psychological medicine

Johnson EC, Kapoor M, Hatoum AS, Zhou H, Polimanti R, Wendt FR, Walters RK, Lai D, Kember RL, Hartz S, Meyers JL, Peterson RE, Ripke S, Bigdeli TB, Fanous AH, Pato CN, Pato MT, Goate AM, Kranzler HR, O'Donovan MC, Walters JTR, Gelernter J, Edenberg HJ, Agrawal A.
PMID: 34231451
Psychol Med. 2021 Jul 07;1-9. doi: 10.1017/S003329172100266X. Epub 2021 Jul 07.

BACKGROUND: Alcohol use disorder (AUD) and schizophrenia (SCZ) frequently co-occur, and large-scale genome-wide association studies (GWAS) have identified significant genetic correlations between these disorders.METHODS: We used the largest published GWAS for AUD (total cases = 77 822) and SCZ...

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Johnson EC, Kapoor M, Hatoum AS, et al. Investigation of convergent and divergent genetic influences underlying schizophrenia and alcohol use disorder. Psychol Med. 2021;1-9doi: 10.1017/S003329172100266X.
Johnson, E. C., Kapoor, M., Hatoum, A. S., Zhou, H., Polimanti, R., Wendt, F. R., Walters, R. K., Lai, D., Kember, R. L., Hartz, S., Meyers, J. L., Peterson, R. E., Ripke, S., Bigdeli, T. B., Fanous, A. H., Pato, C. N., Pato, M. T., Goate, A. M., Kranzler, H. R., O'Donovan, M. C., Walters, J. T. R., Gelernter, J., Edenberg, H. J., & Agrawal, A. (2021). Investigation of convergent and divergent genetic influences underlying schizophrenia and alcohol use disorder. Psychological medicine, 1-9. https://doi.org/10.1017/S003329172100266X
Johnson, Emma C, et al. "Investigation of convergent and divergent genetic influences underlying schizophrenia and alcohol use disorder." Psychological medicine vol. (2021): 1-9. doi: https://doi.org/10.1017/S003329172100266X
Johnson EC, Kapoor M, Hatoum AS, Zhou H, Polimanti R, Wendt FR, Walters RK, Lai D, Kember RL, Hartz S, Meyers JL, Peterson RE, Ripke S, Bigdeli TB, Fanous AH, Pato CN, Pato MT, Goate AM, Kranzler HR, O'Donovan MC, Walters JTR, Gelernter J, Edenberg HJ, Agrawal A. Investigation of convergent and divergent genetic influences underlying schizophrenia and alcohol use disorder. Psychol Med. 2021 Jul 07;1-9. doi: 10.1017/S003329172100266X. Epub 2021 Jul 07. PMID: 34231451.
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Showing 337 to 341 of 341 entries