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Fast methane diffusion at the interface of two clathrate structures.

Nature communications

Ranieri U, Koza MM, Kuhs WF, Klotz S, Falenty A, Gillet P, Bove LE.
PMID: 29057864
Nat Commun. 2017 Oct 20;8(1):1076. doi: 10.1038/s41467-017-01167-2.

Methane hydrates naturally form on Earth and in the interiors of some icy bodies of the Universe, and are also expected to play a paramount role in future energy and environmental technologies. Here we report experimental observation of an...

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Ranieri U, Koza MM, Kuhs WF, et al. Fast methane diffusion at the interface of two clathrate structures. Nat Commun. 2017;8(1):1076doi: 10.1038/s41467-017-01167-2.
Ranieri, U., Koza, M. M., Kuhs, W. F., Klotz, S., Falenty, A., Gillet, P., & Bove, L. E. (2017). Fast methane diffusion at the interface of two clathrate structures. Nature communications, 8(1), 1076. https://doi.org/10.1038/s41467-017-01167-2
Ranieri, Umbertoluca, et al. "Fast methane diffusion at the interface of two clathrate structures." Nature communications vol. 8,1 (2017): 1076. doi: https://doi.org/10.1038/s41467-017-01167-2
Ranieri U, Koza MM, Kuhs WF, Klotz S, Falenty A, Gillet P, Bove LE. Fast methane diffusion at the interface of two clathrate structures. Nat Commun. 2017 Oct 20;8(1):1076. doi: 10.1038/s41467-017-01167-2. PMID: 29057864; PMCID: PMC5715113.
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The Role of Ect2 Nuclear RhoGEF Activity in Ovarian Cancer Cell Transformation.

Genes & cancer

Huff LP, Decristo MJ, Trembath D, Kuan PF, Yim M, Liu J, Cook DR, Miller CR, Der CJ, Cox AD.
PMID: 24386507
Genes Cancer. 2013 Nov;4(11):460-75. doi: 10.1177/1947601913514851.

Ect2, a Rho guanine nucleotide exchange factor (RhoGEF), is atypical among RhoGEFs in its predominantly nuclear localization in interphase cells. One current model suggests that Ect2 mislocalization drives cellular transformation by promoting aberrant activation of cytoplasmic Rho family GTPase...

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Huff LP, Decristo MJ, Trembath D, et al. The Role of Ect2 Nuclear RhoGEF Activity in Ovarian Cancer Cell Transformation. Genes Cancer. 2013;4(11):460-75doi: 10.1177/1947601913514851.
Huff, L. P., Decristo, M. J., Trembath, D., Kuan, P. F., Yim, M., Liu, J., Cook, D. R., Miller, C. R., Der, C. J., & Cox, A. D. (2013). The Role of Ect2 Nuclear RhoGEF Activity in Ovarian Cancer Cell Transformation. Genes & cancer, 4(11), 460-75. https://doi.org/10.1177/1947601913514851
Huff, Lauren P, et al. "The Role of Ect2 Nuclear RhoGEF Activity in Ovarian Cancer Cell Transformation." Genes & cancer vol. 4,11 (2013): 460-75. doi: https://doi.org/10.1177/1947601913514851
Huff LP, Decristo MJ, Trembath D, Kuan PF, Yim M, Liu J, Cook DR, Miller CR, Der CJ, Cox AD. The Role of Ect2 Nuclear RhoGEF Activity in Ovarian Cancer Cell Transformation. Genes Cancer. 2013 Nov;4(11):460-75. doi: 10.1177/1947601913514851. PMID: 24386507; PMCID: PMC3877668.
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Meeting Report of the Fifth International Cancer Epigenetics Conference in Beijing, China, October 2016.

Epigenomics

Gao D, Herman JG, Cui H, Jen J, Fuks F, Brock MV, Ushijima T, Croce C, Akiyama Y, Guo M.
PMID: 28530839
Epigenomics. 2017 Jul;9(7):937-941. doi: 10.2217/epi-2017-0030. Epub 2017 May 22.

Fifth International Cancer Epigenetics Conference, Beijing, China, 21-23 October 2016 This meeting reported many new findings in the field of cancer epigenetics, including basic science, translational and clinical studies. In this report, we summarize some of the main advancements...

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Gao D, Herman JG, Cui H, et al. Meeting Report of the Fifth International Cancer Epigenetics Conference in Beijing, China, October 2016. Epigenomics. 2017;9(7):937-941doi: 10.2217/epi-2017-0030.
Gao, D., Herman, J. G., Cui, H., Jen, J., Fuks, F., Brock, M. V., Ushijima, T., Croce, C., Akiyama, Y., & Guo, M. (2017). Meeting Report of the Fifth International Cancer Epigenetics Conference in Beijing, China, October 2016. Epigenomics, 9(7), 937-941. https://doi.org/10.2217/epi-2017-0030
Gao, Dan, et al. "Meeting Report of the Fifth International Cancer Epigenetics Conference in Beijing, China, October 2016." Epigenomics vol. 9,7 (2017): 937-941. doi: https://doi.org/10.2217/epi-2017-0030
Gao D, Herman JG, Cui H, Jen J, Fuks F, Brock MV, Ushijima T, Croce C, Akiyama Y, Guo M. Meeting Report of the Fifth International Cancer Epigenetics Conference in Beijing, China, October 2016. Epigenomics. 2017 Jul;9(7):937-941. doi: 10.2217/epi-2017-0030. Epub 2017 May 22. PMID: 28530839.
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Trophallaxis in a communal halictine bee Lasioglossum (Chilalictus) erythrurum.

Proceedings of the National Academy of Sciences of the United States of America

Kukuk PF, Crozier RH.
PMID: 11607091
Proc Natl Acad Sci U S A. 1990 Jul;87(14):5402-4. doi: 10.1073/pnas.87.14.5402.

Food exchange by means of oral trophallaxis was confirmed for a communal halictine bee Lasioglossum (Chilalictus) erythrurum. These results demonstrate an independent evolution of trophallaxis in bees. The occurrence of trophallaxis in a communal species questions the role of...

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Kukuk PF, Crozier RH. Trophallaxis in a communal halictine bee Lasioglossum (Chilalictus) erythrurum. Proc Natl Acad Sci U S A. 1990;87(14):5402-4doi: 10.1073/pnas.87.14.5402.
Kukuk, P. F., & Crozier, R. H. (1990). Trophallaxis in a communal halictine bee Lasioglossum (Chilalictus) erythrurum. Proceedings of the National Academy of Sciences of the United States of America, 87(14), 5402-4. https://doi.org/10.1073/pnas.87.14.5402
Kukuk, P F, and Crozier, R H. "Trophallaxis in a communal halictine bee Lasioglossum (Chilalictus) erythrurum." Proceedings of the National Academy of Sciences of the United States of America vol. 87,14 (1990): 5402-4. doi: https://doi.org/10.1073/pnas.87.14.5402
Kukuk PF, Crozier RH. Trophallaxis in a communal halictine bee Lasioglossum (Chilalictus) erythrurum. Proc Natl Acad Sci U S A. 1990 Jul;87(14):5402-4. doi: 10.1073/pnas.87.14.5402. PMID: 11607091; PMCID: PMC54332.
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The effect of proton disorder on the structure of ice-Ih: a theoretical study.

The Journal of chemical physics

Kuo JL, Klein ML, Kuhs WF.
PMID: 16223312
J Chem Phys. 2005 Oct 01;123(13):134505. doi: 10.1063/1.2036971.

A precise and accurate measurement of the crystal structure of ice-Ih is hindered by its disordered H-bond network. In this work, we carried out first-principle calculations to study the effects of H-bond topology on the structure of ice-Ih with...

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Kuo JL, Klein ML, Kuhs WF. The effect of proton disorder on the structure of ice-Ih: a theoretical study. J Chem Phys. 2005;123(13):134505doi: 10.1063/1.2036971.
Kuo, J. L., Klein, M. L., & Kuhs, W. F. (2005). The effect of proton disorder on the structure of ice-Ih: a theoretical study. The Journal of chemical physics, 123(13), 134505. https://doi.org/10.1063/1.2036971
Kuo, Jer-Lai, et al. "The effect of proton disorder on the structure of ice-Ih: a theoretical study." The Journal of chemical physics vol. 123,13 (2005): 134505. doi: https://doi.org/10.1063/1.2036971
Kuo JL, Klein ML, Kuhs WF. The effect of proton disorder on the structure of ice-Ih: a theoretical study. J Chem Phys. 2005 Oct 01;123(13):134505. doi: 10.1063/1.2036971. PMID: 16223312.
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Analysis of inclusive KK-bar pi from 11-GeV/c K-p interactions.

Physical review. D, Particles and fields

Aston D, Carnegie RK, Dunwoodie W, Durkin S, Estabrooks PG, Hemingway RJ, Homa A, Hutchinson D, Johnson WB, Kunz PF, Lasinski T, Leith DW, Levinson L, McKee R, McPherson AC, Meyer WT, Oakham GK, Ratcliff BN, Shapiro S, Suzuki S, Va'Vra J, Williams S.
PMID: 9956407
Phys Rev D Part Fields. 1985 Nov 01;32(9):2255-2269. doi: 10.1103/physrevd.32.2255.

No abstract available.

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Aston D, Carnegie RK, Dunwoodie W, et al. Analysis of inclusive KK-bar pi from 11-GeV/c K-p interactions. Phys Rev D Part Fields. 1985;32(9):2255-2269doi: 10.1103/physrevd.32.2255.
Aston, D., Carnegie, R. K., Dunwoodie, W., Durkin, S., Estabrooks, P. G., Hemingway, R. J., Homa, A., Hutchinson, D., Johnson, W. B., Kunz, P. F., Lasinski, T., Leith, D. W., Levinson, L., McKee, R., McPherson, A. C., Meyer, W. T., Oakham, G. K., Ratcliff, B. N., Shapiro, S., Suzuki, S., Va'Vra, J., & Williams, S. (1985). Analysis of inclusive KK-bar pi from 11-GeV/c K-p interactions. Physical review. D, Particles and fields, 32(9), 2255-2269. https://doi.org/10.1103/physrevd.32.2255
Aston, et al. "Analysis of inclusive KK-bar pi from 11-GeV/c K-p interactions." Physical review. D, Particles and fields vol. 32,9 (1985): 2255-2269. doi: https://doi.org/10.1103/physrevd.32.2255
Aston D, Carnegie RK, Dunwoodie W, Durkin S, Estabrooks PG, Hemingway RJ, Homa A, Hutchinson D, Johnson WB, Kunz PF, Lasinski T, Leith DW, Levinson L, McKee R, McPherson AC, Meyer WT, Oakham GK, Ratcliff BN, Shapiro S, Suzuki S, Va'Vra J, Williams S. Analysis of inclusive KK-bar pi from 11-GeV/c K-p interactions. Phys Rev D Part Fields. 1985 Nov 01;32(9):2255-2269. doi: 10.1103/physrevd.32.2255. PMID: 9956407.
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Role of Perioperative Surgical Safety Checklist in Reducing Morbidity and Mortality among Patients: An Observational Study.

Nigerian journal of surgery : official publication of the Nigerian Surgical Research Society

Chhabra A, Singh A, Kuka PS, Kaur H, Kuka AS, Chahal H.
PMID: 31579376
Niger J Surg. 2019 Jul-Dec;25(2):192-197. doi: 10.4103/njs.NJS_45_18.

BACKGROUND: Safe Surgery Saves Lives. Patient safety is a fundamental of good quality health care, and complications due to the health-care system are well-documented and constitute an important public health problem. Implementation of the checklist in medicine and surgery...

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Chhabra A, Singh A, Kuka PS, et al. Role of Perioperative Surgical Safety Checklist in Reducing Morbidity and Mortality among Patients: An Observational Study. Niger J Surg. 2019;25(2):192-197doi: 10.4103/njs.NJS_45_18.
Chhabra, A., Singh, A., Kuka, P. S., Kaur, H., Kuka, A. S., & Chahal, H. (2019). Role of Perioperative Surgical Safety Checklist in Reducing Morbidity and Mortality among Patients: An Observational Study. Nigerian journal of surgery : official publication of the Nigerian Surgical Research Society, 25(2), 192-197. https://doi.org/10.4103/njs.NJS_45_18
Chhabra, Ashish, et al. "Role of Perioperative Surgical Safety Checklist in Reducing Morbidity and Mortality among Patients: An Observational Study." Nigerian journal of surgery : official publication of the Nigerian Surgical Research Society vol. 25,2 (2019): 192-197. doi: https://doi.org/10.4103/njs.NJS_45_18
Chhabra A, Singh A, Kuka PS, Kaur H, Kuka AS, Chahal H. Role of Perioperative Surgical Safety Checklist in Reducing Morbidity and Mortality among Patients: An Observational Study. Niger J Surg. 2019 Jul-Dec;25(2):192-197. doi: 10.4103/njs.NJS_45_18. PMID: 31579376; PMCID: PMC6771182.
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HiPR: High-throughput probabilistic RNA structure inference.

Computational and structural biotechnology journal

Kuksa PP, Li F, Kannan S, Gregory BD, Leung YY, Wang LS.
PMID: 32637050
Comput Struct Biotechnol J. 2020 Jun 08;18:1539-1547. doi: 10.1016/j.csbj.2020.06.004. eCollection 2020.

Recent high-throughput structure-sensitive genome-wide sequencing-based assays have enabled large-scale studies of RNA structure, and robust transcriptome-wide computational prediction of individual RNA structures across RNA classes from these assays has potential to further improve the prediction accuracy. Here, we describe...

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Kuksa PP, Li F, Kannan S, et al. HiPR: High-throughput probabilistic RNA structure inference. Comput Struct Biotechnol J. 2020;18:1539-1547doi: 10.1016/j.csbj.2020.06.004.
Kuksa, P. P., Li, F., Kannan, S., Gregory, B. D., Leung, Y. Y., & Wang, L. S. (2020). HiPR: High-throughput probabilistic RNA structure inference. Computational and structural biotechnology journal, 181539-1547. https://doi.org/10.1016/j.csbj.2020.06.004
Kuksa, Pavel P, et al. "HiPR: High-throughput probabilistic RNA structure inference." Computational and structural biotechnology journal vol. 18 (2020): 1539-1547. doi: https://doi.org/10.1016/j.csbj.2020.06.004
Kuksa PP, Li F, Kannan S, Gregory BD, Leung YY, Wang LS. HiPR: High-throughput probabilistic RNA structure inference. Comput Struct Biotechnol J. 2020 Jun 08;18:1539-1547. doi: 10.1016/j.csbj.2020.06.004. eCollection 2020. PMID: 32637050; PMCID: PMC7327253.
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Polygenic prediction of PTSD trajectories in 9/11 responders.

Psychological medicine

Waszczuk MA, Docherty AR, Shabalin AA, Miao J, Yang X, Kuan PF, Bromet E, Kotov R, Luft BJ.
PMID: 33092657
Psychol Med. 2020 Oct 23;1-9. doi: 10.1017/S0033291720003839. Epub 2020 Oct 23.

BACKGROUND: Genetics hold promise of predicting long-term post-traumatic stress disorder (PTSD) outcomes following trauma. The aim of the current study was to test whether six hypothesized polygenic risk scores (PRSs) developed to capture genetic vulnerability to psychiatric conditions prospectively...

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Waszczuk MA, Docherty AR, Shabalin AA, et al. Polygenic prediction of PTSD trajectories in 9/11 responders. Psychol Med. 2020;1-9doi: 10.1017/S0033291720003839.
Waszczuk, M. A., Docherty, A. R., Shabalin, A. A., Miao, J., Yang, X., Kuan, P. F., Bromet, E., Kotov, R., & Luft, B. J. (2020). Polygenic prediction of PTSD trajectories in 9/11 responders. Psychological medicine, 1-9. https://doi.org/10.1017/S0033291720003839
Waszczuk, Monika A, et al. "Polygenic prediction of PTSD trajectories in 9/11 responders." Psychological medicine vol. (2020): 1-9. doi: https://doi.org/10.1017/S0033291720003839
Waszczuk MA, Docherty AR, Shabalin AA, Miao J, Yang X, Kuan PF, Bromet E, Kotov R, Luft BJ. Polygenic prediction of PTSD trajectories in 9/11 responders. Psychol Med. 2020 Oct 23;1-9. doi: 10.1017/S0033291720003839. Epub 2020 Oct 23. PMID: 33092657; PMCID: PMC8186149.
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Computing the sparse matrix vector product using block-based kernels without zero padding on processors with AVX-512 instructions.

PeerJ. Computer science

Bramas B, Kus P.
PMID: 33816805
PeerJ Comput Sci. 2018 Apr 30;4:e151. doi: 10.7717/peerj-cs.151. eCollection 2018.

The sparse matrix-vector product (SpMV) is a fundamental operation in many scientific applications from various fields. The High Performance Computing (HPC) community has therefore continuously invested a lot of effort to provide an efficient SpMV kernel on modern CPU...

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Bramas B, Kus P. Computing the sparse matrix vector product using block-based kernels without zero padding on processors with AVX-512 instructions. PeerJ Comput Sci. 2018;4:e151doi: 10.7717/peerj-cs.151.
Bramas, B., & Kus, P. (2018). Computing the sparse matrix vector product using block-based kernels without zero padding on processors with AVX-512 instructions. PeerJ. Computer science, 4e151. https://doi.org/10.7717/peerj-cs.151
Bramas, Bérenger, and Kus, Pavel. "Computing the sparse matrix vector product using block-based kernels without zero padding on processors with AVX-512 instructions." PeerJ. Computer science vol. 4 (2018): e151. doi: https://doi.org/10.7717/peerj-cs.151
Bramas B, Kus P. Computing the sparse matrix vector product using block-based kernels without zero padding on processors with AVX-512 instructions. PeerJ Comput Sci. 2018 Apr 30;4:e151. doi: 10.7717/peerj-cs.151. eCollection 2018. PMID: 33816805; PMCID: PMC7924463.
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A hidden Markov model for describing turbostratic disorder applied to carbon blacks and graphene.

Acta crystallographica. Section A, Foundations and advances

Hart AG, Hansen TC, Kuhs WF.
PMID: 31041906
Acta Crystallogr A Found Adv. 2019 May 01;75:501-516. doi: 10.1107/S2053273319000615. Epub 2019 Apr 10.

A mathematical framework is presented to represent turbostratic disorder in materials like carbon blacks, smectites and twisted n-layer graphene. In particular, the set of all possible disordered layers, including rotated, shifted and curved layers, forms a stochastic sequence governed...

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Hart AG, Hansen TC, Kuhs WF. A hidden Markov model for describing turbostratic disorder applied to carbon blacks and graphene. Acta Crystallogr A Found Adv. 2019;75:501-516doi: 10.1107/S2053273319000615.
Hart, A. G., Hansen, T. C., & Kuhs, W. F. (2019). A hidden Markov model for describing turbostratic disorder applied to carbon blacks and graphene. Acta crystallographica. Section A, Foundations and advances, 75501-516. https://doi.org/10.1107/S2053273319000615
Hart, Allen G, et al. "A hidden Markov model for describing turbostratic disorder applied to carbon blacks and graphene." Acta crystallographica. Section A, Foundations and advances vol. 75 (2019): 501-516. doi: https://doi.org/10.1107/S2053273319000615
Hart AG, Hansen TC, Kuhs WF. A hidden Markov model for describing turbostratic disorder applied to carbon blacks and graphene. Acta Crystallogr A Found Adv. 2019 May 01;75:501-516. doi: 10.1107/S2053273319000615. Epub 2019 Apr 10. PMID: 31041906.
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Comprehensive identification of long noncoding RNAs in colorectal cancer.

Oncotarget

James de Bony E, Bizet M, Van Grembergen O, Hassabi B, Calonne E, Putmans P, Bontempi G, Fuks F.
PMID: 29963224
Oncotarget. 2018 Jun 12;9(45):27605-27629. doi: 10.18632/oncotarget.25218. eCollection 2018 Jun 12.

Colorectal cancer (CRC) is one of the most common cancers in humans and a leading cause of cancer-related deaths worldwide. As in the case of other cancers, CRC heterogeneity leads to a wide range of clinical outcomes and complicates...

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James de Bony E, Bizet M, Van Grembergen O, et al. Comprehensive identification of long noncoding RNAs in colorectal cancer. Oncotarget. 2018;9(45):27605-27629doi: 10.18632/oncotarget.25218.
James de Bony, E., Bizet, M., Van Grembergen, O., Hassabi, B., Calonne, E., Putmans, P., Bontempi, G., & Fuks, F. (2018). Comprehensive identification of long noncoding RNAs in colorectal cancer. Oncotarget, 9(45), 27605-27629. https://doi.org/10.18632/oncotarget.25218
James de Bony, Eric, et al. "Comprehensive identification of long noncoding RNAs in colorectal cancer." Oncotarget vol. 9,45 (2018): 27605-27629. doi: https://doi.org/10.18632/oncotarget.25218
James de Bony E, Bizet M, Van Grembergen O, Hassabi B, Calonne E, Putmans P, Bontempi G, Fuks F. Comprehensive identification of long noncoding RNAs in colorectal cancer. Oncotarget. 2018 Jun 12;9(45):27605-27629. doi: 10.18632/oncotarget.25218. eCollection 2018 Jun 12. PMID: 29963224; PMCID: PMC6021240.
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Showing 1 to 12 of 78 entries