The burden of atrial fibrillation/flutter in the Middle East and North Africa region and its associated risk factors from 1990 to 2019

Autor: Mohammad Yaghoubi, Parvaneh Hamian Roumiani, Fateme Nozari, Saba Simiyari, Alireza Azarboo, Mahgol Sadat Hassan Zadeh Tabatabaei, Mohamad Mehdi Khadembashiri, Mohammad Amin Khadembashiri

Publikováno v: BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-12 (2024)

Abstract Background Atrial fibrillation and flutter (AFF) are the most common cardiac arrhythmias globally, contributing to substantial morbidity and mortality. The Middle East and North Africa (MENA) region face unique challenges in managing cardiov

Externí odkaz: https://doaj.org/article/921c32c47a164d709ea1af0d5c850abf

A Novel Training Approach in Deep Spiking Neural Network Based on Fuzzy Weighting and Meta-heuristic Algorithm

Autor: Melika Hamian, Karim Faez, Soheila Nazari, Malihe Sabeti

Publikováno v: International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-21 (2024)

Abstract The challenge of supervised learning in spiking neural networks (SNNs) for digit classification from speech signals is examined in this study. Meta-heuristic algorithms and a fuzzy logic framework are used to train SNNs. Using gray wolf opti

Externí odkaz: https://doaj.org/article/5f2d0633a8de42bc9df18eb67a437c56

Measurement of the $\nu_e$ and Total $^{8}$B Solar Neutrino Fluxes with the Sudbury Neutrino Observatory Phase-III Data Set

Autor: Aharmim, B., Ahmed, S. N., Amsbaugh, J. F., Anaya, J. M., Anthony, A. E., Banar, J., Barros, N., Beier, E. W., Bellerive, A., Beltran, B., Bergevin, M., Biller, S. D., Boudjemline, K., Boulay, M. G., Bowles, T. J., Browne, M. C., Bullard, T. V., Burritt, T. H., Cai, B., Chan, Y. D., Chauhan, D., Chen, M., Cleveland, B. T., Cox, G. A., Currat, C. A., Dai, X., Deng, H., Detwiler, J. A., DiMarco, M., Doe, P. J., Doucas, G., Dragowsky, M. R., Drouin, P. -L., Duba, C. A., Duncan, F. A., Dunford, M., Earle, E. D., Elliott, S. R., Evans, H. C., Ewan, G. T., Farine, J., Fergani, H., Fleurot, F., Ford, R. J., Formaggio, J. A., Fowler, M. M., Gagnon, N., Germani, J. V., Goldschmidt, A., Goon, J. TM., Graham, K., Guillian, E., Habib, S., Hahn, R. L., Hallin, A. L., Hallman, E. D., Hamian, A. A., Harper, G. C., Harvey, P. J., Hazama, R., Heeger, K. M., Heintzelman, W. J., Heise, J., Helmer, R. L., Henning, R., Hime, A., Howard, C., Howe, M. A., Huang, M., Jagam, P., Jamieson, B., Jelley, N. A., Keeter, K. J., Klein, J. R., Kormos, L. L., Kos, M., Krueger, A., Kraus, C., Krauss, C. B., Kutter, T., Kyba, C. C. M., Lange, R., Law, J., Lawson, I. T., Lesko, K. T., Leslie, J. R., Loach, J. C., MacLellan, R., Majerus, S., Mak, H. B., Maneira, J., Martin, R., McCauley, N., McDonald, A. B., McGee, S. R., Mifflin, C., Miller, G. G., Miller, M. L., Monreal, B., Monroe, J., Morissette, B., Myers, A. W., Nickel, B. G., Noble, A. J., O'Keeffe, H. M., Oblath, N. S., Ollerhead, R. W., Gann, G. D. Orebi, Oser, S. M., Ott, R. A., Peeters, S. J. M., Poon, A. W. P., Prior, G., Reitzner, S. D., Rielage, K., Robertson, B. C., Robertson, R. G. H., Rollin, E., Schwendener, M. H., Secrest, J. A., Seibert, S. R., Simard, O., Simpson, J. J., Skensved, P., Smith, M. W. E., Sonley, T. J., Steiger, T. D., Stonehill, L. C., Tesic, G., Thornewell, P. M., Tolich, N., Tsui, T., Tunnell, C. D., Van Wechel, T., Van Berg, R., VanDevender, B. A., Virtue, C. J., Wall, B. L., Waller, D., Tseung, H. Wan Chan, Wendland, J., West, N., Wilhelmy, J. B., Wilkerson, J. F., Wilson, J. R., Wouters, J. M., Wright, A., Yeh, M., Zhang, F., Zuber, K.

This paper details the solar neutrino analysis of the 385.17-day Phase-III data set acquired by the Sudbury Neutrino Observatory (SNO). An array of $^3$He proportional counters was installed in the heavy-water target to measure precisely the rate of

Externí odkaz: http://arxiv.org/abs/1107.2901

Skin Cancer Detection Based on Extreme Learning Machine and a Developed Version of Thermal Exchange Optimization.

Autor: Wang, Shi¹ (AUTHOR), Hamian, Melika² (AUTHOR)

Publikováno v: Computational Intelligence & Neuroscience. 11/3/2021, p1-13. 13p.

Analgesic Prescription Pattern in Endodontic Treatments by General Dental Practitioners of Qom City, 2015, Iran

Autor: Mina Hamian, Sedigheh Gholizadeh, Behzad Yahyapour, Somayeh Momenyan

Publikováno v: Majallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Qum, Vol 10, Iss 5, Pp 75-83 (2016)

Background and Objectives: Post-dental treatment pain is one of the main challenges of dentists. This issue is especially more important in endodontic treatments. This research aimed to determine analgesic prescription pattern by general dental pract

Externí odkaz: https://doaj.org/article/a622e37b2d4246038610f420c82ceffa