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Author Correction: De novo emergence of adaptive membrane proteins from thymine-rich genomic sequences.

Nature communications

Vakirlis N, Acar O, Hsu B, Coelho NC, Van Oss SB, Wacholder A, Medetgul-Ernar K, Bowman RW, Hines CP, Iannotta J, Parikh SB, McLysaght A, Camacho CJ, O'Donnell AF, Ideker T, Carvunis AR.
PMID: 33398071
Nat Commun. 2021 Jan 04;12(1):200. doi: 10.1038/s41467-020-20609-y.

No abstract available.

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Vakirlis N, Acar O, Hsu B, et al. Author Correction: De novo emergence of adaptive membrane proteins from thymine-rich genomic sequences. Nat Commun. 2021;12(1):200doi: 10.1038/s41467-020-20609-y.
Vakirlis, N., Acar, O., Hsu, B., Coelho, N. C., Van Oss, S. B., Wacholder, A., Medetgul-Ernar, K., Bowman, R. W., Hines, C. P., Iannotta, J., Parikh, S. B., McLysaght, A., Camacho, C. J., O'Donnell, A. F., Ideker, T., & Carvunis, A. R. (2021). Author Correction: De novo emergence of adaptive membrane proteins from thymine-rich genomic sequences. Nature communications, 12(1), 200. https://doi.org/10.1038/s41467-020-20609-y
Vakirlis, Nikolaos, et al. "Author Correction: De novo emergence of adaptive membrane proteins from thymine-rich genomic sequences." Nature communications vol. 12,1 (2021): 200. doi: https://doi.org/10.1038/s41467-020-20609-y
Vakirlis N, Acar O, Hsu B, Coelho NC, Van Oss SB, Wacholder A, Medetgul-Ernar K, Bowman RW, Hines CP, Iannotta J, Parikh SB, McLysaght A, Camacho CJ, O'Donnell AF, Ideker T, Carvunis AR. Author Correction: De novo emergence of adaptive membrane proteins from thymine-rich genomic sequences. Nat Commun. 2021 Jan 04;12(1):200. doi: 10.1038/s41467-020-20609-y. PMID: 33398071; PMCID: PMC7782721.
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Ribosome ADP-ribosylation inhibits translation and maintains proteostasis in cancers.

Cell

Challa S, Khulpateea BR, Nandu T, Camacho CV, Ryu KW, Chen H, Peng Y, Lea JS, Kraus WL.
PMID: 34314702
Cell. 2021 Aug 19;184(17):4531-4546.e26. doi: 10.1016/j.cell.2021.07.005. Epub 2021 Jul 26.

Defects in translation lead to changes in the expression of proteins that can serve as drivers of cancer formation. Here, we show that cytosolic NAD

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Challa S, Khulpateea BR, Nandu T, et al. Ribosome ADP-ribosylation inhibits translation and maintains proteostasis in cancers. Cell. 2021;184(17):4531-4546.e26doi: 10.1016/j.cell.2021.07.005.
Challa, S., Khulpateea, B. R., Nandu, T., Camacho, C. V., Ryu, K. W., Chen, H., Peng, Y., Lea, J. S., & Kraus, W. L. (2021). Ribosome ADP-ribosylation inhibits translation and maintains proteostasis in cancers. Cell, 184(17), 4531-4546.e26. https://doi.org/10.1016/j.cell.2021.07.005
Challa, Sridevi, et al. "Ribosome ADP-ribosylation inhibits translation and maintains proteostasis in cancers." Cell vol. 184,17 (2021): 4531-4546.e26. doi: https://doi.org/10.1016/j.cell.2021.07.005
Challa S, Khulpateea BR, Nandu T, Camacho CV, Ryu KW, Chen H, Peng Y, Lea JS, Kraus WL. Ribosome ADP-ribosylation inhibits translation and maintains proteostasis in cancers. Cell. 2021 Aug 19;184(17):4531-4546.e26. doi: 10.1016/j.cell.2021.07.005. Epub 2021 Jul 26. PMID: 34314702; PMCID: PMC8380725.
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A free-geometry geodynamic modelling of surface gravity changes using Growth-dg software.

Scientific reports

Camacho AG, Vajda P, Miller CA, Fernández J.
PMID: 34873213
Sci Rep. 2021 Dec 06;11(1):23442. doi: 10.1038/s41598-021-02769-z.

Globally there is abundant terrestrial surface gravity data used to study the time variation of gravity related to subsurface mass and density changes in different geological, geodynamical and geotechnical environments. We present here a tool for analysing existing and...

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Camacho AG, Vajda P, Miller CA, et al. A free-geometry geodynamic modelling of surface gravity changes using Growth-dg software. Sci Rep. 2021;11(1):23442doi: 10.1038/s41598-021-02769-z.
Camacho, A. G., Vajda, P., Miller, C. A., & Fernández, J. (2021). A free-geometry geodynamic modelling of surface gravity changes using Growth-dg software. Scientific reports, 11(1), 23442. https://doi.org/10.1038/s41598-021-02769-z
Camacho, Antonio G, et al. "A free-geometry geodynamic modelling of surface gravity changes using Growth-dg software." Scientific reports vol. 11,1 (2021): 23442. doi: https://doi.org/10.1038/s41598-021-02769-z
Camacho AG, Vajda P, Miller CA, Fernández J. A free-geometry geodynamic modelling of surface gravity changes using Growth-dg software. Sci Rep. 2021 Dec 06;11(1):23442. doi: 10.1038/s41598-021-02769-z. PMID: 34873213; PMCID: PMC8648941.
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Conditioning Program Prescribed from the External Training Load Corresponding to the Lactate Threshold Improved Cardiac Function in Healthy Dogs.

Animals : an open access journal from MDPI

Restan AZ, Camacho AA, Zacché E, Canola RAM, Silva SBG, Braz JB, Silva-Filho JCD, Cerqueira JA, Loureiro BA, Funnicelli MIG, Pinheiro DG, Ferraz GC.
PMID: 35011179
Animals (Basel). 2021 Dec 30;12(1). doi: 10.3390/ani12010073.

This research focuses on the adjustments in systolic and diastolic functions that are not fully understood in dogs submitted to athletic training. Beagle dogs carried out an endurance training program (ETP) prescribed from the external training load, corresponding to...

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Restan AZ, Camacho AA, Zacché E, et al. Conditioning Program Prescribed from the External Training Load Corresponding to the Lactate Threshold Improved Cardiac Function in Healthy Dogs. Animals (Basel). 2021;12(1)doi: 10.3390/ani12010073.
Restan, A. Z., Camacho, A. A., Zacché, E., Canola, R. A. M., Silva, S. B. G., Braz, J. B., Silva-Filho, J. C. D., Cerqueira, J. A., Loureiro, B. A., Funnicelli, M. I. G., Pinheiro, D. G., & Ferraz, G. C. (2021). Conditioning Program Prescribed from the External Training Load Corresponding to the Lactate Threshold Improved Cardiac Function in Healthy Dogs. Animals : an open access journal from MDPI, 12(1), . https://doi.org/10.3390/ani12010073
Restan, Alejandro Zamora, et al. "Conditioning Program Prescribed from the External Training Load Corresponding to the Lactate Threshold Improved Cardiac Function in Healthy Dogs." Animals : an open access journal from MDPI vol. 12,1 (2021). doi: https://doi.org/10.3390/ani12010073
Restan AZ, Camacho AA, Zacché E, Canola RAM, Silva SBG, Braz JB, Silva-Filho JCD, Cerqueira JA, Loureiro BA, Funnicelli MIG, Pinheiro DG, Ferraz GC. Conditioning Program Prescribed from the External Training Load Corresponding to the Lactate Threshold Improved Cardiac Function in Healthy Dogs. Animals (Basel). 2021 Dec 30;12(1). doi: 10.3390/ani12010073. PMID: 35011179; PMCID: PMC8749834.
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Prediction of Mechanical Properties by Artificial Neural Networks to Characterize the Plastic Behavior of Aluminum Alloys.

Materials (Basel, Switzerland)

Merayo D, Rodríguez-Prieto A, Camacho AM.
PMID: 33228013
Materials (Basel). 2020 Nov 19;13(22). doi: 10.3390/ma13225227.

In metal forming, the plastic behavior of metallic alloys is directly related to their formability, and it has been traditionally characterized by simplified models of the flow curves, especially in the analysis by finite element simulation and analytical methods....

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Merayo D, Rodríguez-Prieto A, Camacho AM. Prediction of Mechanical Properties by Artificial Neural Networks to Characterize the Plastic Behavior of Aluminum Alloys. Materials (Basel). 2020;13(22)doi: 10.3390/ma13225227.
Merayo, D., Rodríguez-Prieto, A., & Camacho, A. M. (2020). Prediction of Mechanical Properties by Artificial Neural Networks to Characterize the Plastic Behavior of Aluminum Alloys. Materials (Basel, Switzerland), 13(22), . https://doi.org/10.3390/ma13225227
Merayo, David, et al. "Prediction of Mechanical Properties by Artificial Neural Networks to Characterize the Plastic Behavior of Aluminum Alloys." Materials (Basel, Switzerland) vol. 13,22 (2020). doi: https://doi.org/10.3390/ma13225227
Merayo D, Rodríguez-Prieto A, Camacho AM. Prediction of Mechanical Properties by Artificial Neural Networks to Characterize the Plastic Behavior of Aluminum Alloys. Materials (Basel). 2020 Nov 19;13(22). doi: 10.3390/ma13225227. PMID: 33228013; PMCID: PMC7699297.
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Reliability Prediction of Acrylonitrile O-Ring for Nuclear Power Applications Based on Shore Hardness Measurements.

Polymers

Rodríguez-Prieto A, Primera E, Frigione M, Camacho AM.
PMID: 33808625
Polymers (Basel). 2021 Mar 19;13(6). doi: 10.3390/polym13060943.

The degradation of polymeric components is of considerable interest to the nuclear industry and its regulatory bodies. The objective of this work was the development of a methodology to determine the useful life-based on the storage temperature-of acrylonitrile O-rings...

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Rodríguez-Prieto A, Primera E, Frigione M, et al. Reliability Prediction of Acrylonitrile O-Ring for Nuclear Power Applications Based on Shore Hardness Measurements. Polymers (Basel). 2021;13(6)doi: 10.3390/polym13060943.
Rodríguez-Prieto, A., Primera, E., Frigione, M., & Camacho, A. M. (2021). Reliability Prediction of Acrylonitrile O-Ring for Nuclear Power Applications Based on Shore Hardness Measurements. Polymers, 13(6), . https://doi.org/10.3390/polym13060943
Rodríguez-Prieto, Alvaro, et al. "Reliability Prediction of Acrylonitrile O-Ring for Nuclear Power Applications Based on Shore Hardness Measurements." Polymers vol. 13,6 (2021). doi: https://doi.org/10.3390/polym13060943
Rodríguez-Prieto A, Primera E, Frigione M, Camacho AM. Reliability Prediction of Acrylonitrile O-Ring for Nuclear Power Applications Based on Shore Hardness Measurements. Polymers (Basel). 2021 Mar 19;13(6). doi: 10.3390/polym13060943. PMID: 33808625; PMCID: PMC8003519.
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The novel HLA-A*24 allele, HLA-A*24:487, identified in three unrelated bone marrow donors in Colombia.

HLA

Hernández DG, Ramírez NC, Martínez MM, Cendales PA, Camacho BA.
PMID: 34546009
HLA. 2021 Dec;98(6):538-540. doi: 10.1111/tan.14432. Epub 2021 Oct 12.

Identification of the novel HLA-A*24:487 allele, which differs from HLA-A*24:02:01:01 at one position.

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Hernández DG, Ramírez NC, Martínez MM, et al. The novel HLA-A*24 allele, HLA-A*24:487, identified in three unrelated bone marrow donors in Colombia. HLA. 2021;98(6):538-540doi: 10.1111/tan.14432.
Hernández, D. G., Ramírez, N. C., Martínez, M. M., Cendales, P. A., & Camacho, B. A. (2021). The novel HLA-A*24 allele, HLA-A*24:487, identified in three unrelated bone marrow donors in Colombia. HLA, 98(6), 538-540. https://doi.org/10.1111/tan.14432
Hernández, David Guillermo, et al. "The novel HLA-A*24 allele, HLA-A*24:487, identified in three unrelated bone marrow donors in Colombia." HLA vol. 98,6 (2021): 538-540. doi: https://doi.org/10.1111/tan.14432
Hernández DG, Ramírez NC, Martínez MM, Cendales PA, Camacho BA. The novel HLA-A*24 allele, HLA-A*24:487, identified in three unrelated bone marrow donors in Colombia. HLA. 2021 Dec;98(6):538-540. doi: 10.1111/tan.14432. Epub 2021 Oct 12. PMID: 34546009.
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Climate in Undergraduate Engineering Education from 1995 to 2009.

Ieee, Camacho MM, Lord SM, Brawner CE, Ohland MW.
UIID-AD: 926
2010;

Researchers have long been interested in understanding the "climate" in undergraduate engineering programs. These themes are particularly important for underrepresented groups in engineering such as women. We examine how students perceive climate and how these attitudes vary by gender....

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Ieee, Camacho MM, Lord SM, et al. Climate in Undergraduate Engineering Education from 1995 to 2009. 2010;
Ieee, Camacho, M. M., Lord, S. M., Brawner, C. E., & Ohland, M. W. (2010). Climate in Undergraduate Engineering Education from 1995 to 2009. .
Ieee, et al. "Climate in Undergraduate Engineering Education from 1995 to 2009." vol. (2010).
Ieee, Camacho MM, Lord SM, Brawner CE, Ohland MW. Climate in Undergraduate Engineering Education from 1995 to 2009. 2010; UIID-AD: 926.
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Measuring the effectiveness of an intensive math preparation program to enhance the success of underrepresented students in engineering.

Camacho AM, Hum D.
UIID-AD: 4127
2016;

In order to meet the current and future demands for engineers needed to retain and increase the economic competitiveness and innovation capacity of the United States, there is a growing need to engage students from traditionally underrepresented groups in...

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Camacho AM, Hum D. Measuring the effectiveness of an intensive math preparation program to enhance the success of underrepresented students in engineering. 2016;
Camacho, A. M., & Hum, D. (2016). Measuring the effectiveness of an intensive math preparation program to enhance the success of underrepresented students in engineering. .
Camacho, A M, and Hum, D. "Measuring the effectiveness of an intensive math preparation program to enhance the success of underrepresented students in engineering." vol. (2016).
Camacho AM, Hum D. Measuring the effectiveness of an intensive math preparation program to enhance the success of underrepresented students in engineering. 2016; UIID-AD: 4127.
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The mathematical and theoretical biology institute--a model of mentorship through research.

Camacho ET, Kribs-Zaleta CM, Wirkus S.
UIID-AD: 2546
2013;10:1351-63. doi: 10.3934/mbe.2013.10.1351.

This article details the history, logistical operations, and design philosophy of the Mathematical and Theoretical Biology Institute (MTBI), a nationally recognized research program with an 18-year history of mentoring researchers at every level from high school through university faculty,...

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Camacho ET, Kribs-Zaleta CM, Wirkus S. The mathematical and theoretical biology institute--a model of mentorship through research. 2013;10:1351-63doi: 10.3934/mbe.2013.10.1351.
Camacho, E. T., Kribs-Zaleta, C. M., & Wirkus, S. (2013). The mathematical and theoretical biology institute--a model of mentorship through research. 101351-63. https://doi.org/10.3934/mbe.2013.10.1351
Camacho, E T, et al. "The mathematical and theoretical biology institute--a model of mentorship through research." vol. 10 (2013): 1351-63. doi: https://doi.org/10.3934/mbe.2013.10.1351
Camacho ET, Kribs-Zaleta CM, Wirkus S. The mathematical and theoretical biology institute--a model of mentorship through research. 2013;10:1351-63. doi: 10.3934/mbe.2013.10.1351. UIID-AD: 2546.
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Showing 301 to 310 of 310 entries