The global prevalence of sexual dysfunction in obese and overweight women: a systematic review and meta-analysis

Autor: Nader Salari, Razie Hasheminezhad, Tabassom Sedighi, Hosna Zarei, Shamarina Shohaimi, Masoud Mohammadi

Publikováno v: BMC Women's Health, Vol 23, Iss 1, Pp 1-7 (2023)

Abstract Background Obesity is a pressing public health risk issue worldwide. Women, in particular, face a higher risk of obesity. Recent research has highlighted the association between obesity and female sexual dysfunction. Therefore, the objective

Externí odkaz: https://doaj.org/article/fb46feb122fa4533879bc7640a06e135

Effective refractive error coverage in adults aged 50 years and older: estimates from population-based surveys in 61 countries

Autor: Rupert Richard Alexander Bourne, Maria Vittoria Cicinelli, Tabassom Sedighi, Ian H Tapply, Ian McCormick, Jost B Jonas, Nathan G Congdon, Jacqueline Ramke, Kovin S Naidoo, Timothy R Fricke, Matthew J Burton, Andreas Müller, Mukharram M Bikbov, João M Furtado, Fatima Kyari, Mingguang He, Ya Xing Wang, Lingam Vijaya, Vinay Nangia, Garry Brian, Mohammad Hassan Emamian, Akbar Fotouhi, Hassan Hashemi, Rajiv B Khandekar, Srinivas Marmamula, Solange Salomão, Ronnie George, Gyulli Kazakbaeva, Tasanee Braithwaite, Robert J Casson, Aiko Iwase, Noopur Gupta, Mohammad H Abdianwall, Rohit Varma, Tien Y Wong, Ningli Wang, Hugh R Taylor, Seth R Flaxman, Stuart Keel, Serge Resnikoff, Alain Bron, Ching-Yu Cheng, Arthur Fernandes, David Friedman, Andrew Gazzard, Rim Kahloun, John Kempen, Moncef Khairallah, Van C Lansingh, Janet Leasher, Nicolas Leveziel, Hans Limburg, Michal Nowak, Konrad Pesudovs, Tunde Peto, Luca Rossetti, Nina Tahhan, Wondu Alemayehu, Aries Arditi, Reza Dana, Monte Del Monte, jenny Deva, Laura Dreer, Josh Ehrlich, Leon Ellwein, Billy Hammond, Mary E Hartnett, April Ingram, Rohit Khanna, Judy Kim, Jennifer Lim, Alan Morse, David Musch, Maurizio B Parodi, Pradeep Ramulu, Alan Robin, Janet Serle, Tueng Shen, Rita S Sitorus, Dwight Stambolian, Fotis Topouzis, Miltiadis Tsilimbaris, Gianni Virgili, Sheila West, Jafer K Ababora, Heba AlSawahli, Hery Harimanitra Andriamanjato, Rosario Barrenechea, Juan F Batlle, Anthea M Burnett, Robert P Finger, Marcelo Gallarreta, Pedro A Gomez-Bastar, Reeta Gurung, Elesh Jain, George E Kabona, Khumbo Kalua, Levi Kandeke, Jefitha Karimurio, Susan A Kikira, Sucheta Kulkarni, Wanjiku Mathenge, Sailesh Kumar Mishra, Seyed Farzad Mohammadi, Manfred Mörchen, Nasiru Muhammad, Grace C Mutati, Maria Eugenia Nano, János Németh, Ala Paduca, Alexander Páez, M Mansur Rabiu, Lutfah Rif'ati, Mohamad Aziz Salowi, Yuddha D Sapkota, Nicholas Sargent, Ubeydulla Thoufeeq, Astrid V Villalobos, Biaxiang Xiao, Mariano Yee Melgar, Xiu Juan Zhang

Publikováno v: Vision Loss Expert Group of the Global Burden of Disease Study, Bourne, R R A, Cicinelli, M V, Sedighi, T, Tapply, I H, McCormick, I, Jonas, J B, Congdon, N G, Ramke, J, Naidoo, K S, Fricke, T R, Burton, M J, Müller, A, Bikbov, M M, Furtado, J M, Kyari, F, He, M, Wang, Y X, Vijaya, L, Nangia, V, Brian, G, Emamian, M H, Fotouhi, A, Hashemi, H, Khandekar, R B, Marmamula, S, Salomão, S, George, R, Kazakbaeva, G, Braithwaite, T, Casson, R J, Iwase, A, Gupta, N, Abdianwall, M H, Wong, T Y, Wang, N, Taylor, H R, Flaxman, S R, Keel, S & Resnikoff, S 2022, ' Effective refractive error coverage in adults aged 50 years and older: estimates from population-based surveys in 61 countries ', The Lancet. Global health, vol. 10, no. 12, pp. e1754-e1763 . https://doi.org/10.1016/S2214-109X(22)00433-8

In 2021, WHO Member States endorsed a global target of a 40-percentage-point increase in effective refractive error coverage (eREC; with a 6/12 visual acuity threshold) by 2030. This study models global and regional estimates of eREC as a baseline fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8935174f62cb279f3a64123e409b7cd0
https://pure.qub.ac.uk/en/publications/291b0b7b-1c56-43d6-8272-e77fc95b345d

The Application of Machine Learning Algorithms in Classification of Malicious Websites

Autor: Tabassom Sedighi, Reza Montasari, Amin Hosseinian-Far

Publikováno v: Privacy, Security And Forensics in The Internet of Things (IoT) ISBN: 9783030912178

This chapter compares three different machine learning techniques, i.e. Gaussian process classification, decision tree classification and support vector classification, based on their ability to learn and detect the attributes of a malicious website.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0cea89f5920e68b0c81e64481d5a38a
https://cronfa.swan.ac.uk/Record/cronfa62969

Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for COVID-19 Inpatients

Autor: Prithwiraj Chakrabarti, Alireza Daneshkhah, Diana Dharmaraj, Kambiz Rakhshan, Nader Salari, Abhinav Vepa, Poonam Kapila, Shamarina Shohaimi, Shital Parekh, Amer Saleem, Omid Chatrabgoun, Amr S Omar, Mohammed Raza, Tabassom Sedighi, Junaid Sami, Mohamed Izham Mohamed Ibrahim

Publikováno v: International Journal of Environmental Research and Public Health, Vol 18, Iss 6228, p 6228 (2021)
International Journal of Environmental Research and Public Health
Volume 18
Issue 12

Background: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Although multiple risk factors for COVID-19 have been identified, using this data to improve clinical care has proven challenging. The main aim of this study is to devel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e81eb5695501d738e03f68d965321d11
https://www.mdpi.com/1660-4601/18/12/6228

Evaluating the Bovine Tuberculosis Eradication Mechanism and Its Risk Factors in England’s Cattle Farms

Autor: Tabassom Sedighi, Liz Varga

Publikováno v: International Journal of Environmental Research and Public Health
Volume 18
Issue 7
International Journal of Environmental Research and Public Health, Vol 18, Iss 3451, p 3451 (2021)

Controlling bovine tuberculosis (bTB) disease in cattle farms in England is seen as a challenge for farmers, animal health, environment and policy-makers. The difficulty in diagnosis and controlling bTB comes from a variety of factors: the lack of an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc57b30200f1c85e1797f272d89bfd33