Zobrazeno 1 - 10
of 3 013
pro vyhledávání: '"Sumbul A"'
Autor:
James Truslow, Angela Spillane, Huiming Lin, Katherine Cyr, Adeeti Ullal, Edith Arnold, Ron Huang, Laura Rhodes, Jennifer Block, Jamie Stark, James Kretlow, Alexis L. Beatty, Andreas Werdich, Deepali Bankar, Matt Bianchi, Ian Shapiro, Jaime Villalpando, Sharon Ravindran, Irida Mance, Adam Phillips, John Earl, Rahul C. Deo, Sumbul A. Desai, Calum A. MacRae
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract Physical activity or structured exercise is beneficial in a wide range of circumstances. Nevertheless, individual-level data on differential responses to various types of activity are not yet sufficient in scale, duration or level of annotat
Externí odkaz:
https://doaj.org/article/c192414062ae4c2c91f292e042f17665
Autor:
Firdaus Jawed, Sumbul Ansari, Rabia Aziz, Humaira Khan, Moazzam Hussain Khan, Saurabh Sharma, Turki Abualait, Shibili Nuhmani
Publikováno v:
Clinical Epidemiology and Global Health, Vol 29, Iss , Pp 101740- (2024)
Background: Backward running (BR) and forward running (FR) activate distinct neuromuscular pathways and utilize differing biomechanical principles. Although FR is a well-established training modality, the potential advantages of BR for enhancing athl
Externí odkaz:
https://doaj.org/article/a7d824398ab940c39a190878f32df376
Autor:
Hina Shah, Imran Khan, Sibghat Ullah Khan, Jai Kershan, Sanaa Ahmed, Sumbul Ayaz, Ghazala Usman
Publikováno v:
Pakistan Journal of Medicine and Dentistry, Vol 12, Iss 1 (2024)
Background: Substance use is common among vulnerable populations including prisoners. The study aimed to assess the incidence of chewable tobacco and its association with dental caries and periodontal health status among incarcerated women (prisoners
Externí odkaz:
https://doaj.org/article/e1e770b89902498f9931a1786c05aeed
Autor:
Sumbul Asim, Shagufta Naqvi, Maria Ali Soomro, Veena Kumari Karmani, Mehreen Mehmood, Misbah Sharif, Syeda Zainab Sultan Bukhari, Iram Wahid, Anum Khatian, Nisha Talat, Syed Sanowar Ali, Mahadev Harani
Publikováno v:
JLUMHS, Vol 22, Iss 4, Pp 288-294 (2023)
OBJECTIVE: To assess the frequency and severity of depression and anxiety, social support and demographic characteristics that could be associated with their disease. METHODOLOGY: This cross-sectional study with TD-BTM patients was conducted from fo
Externí odkaz:
https://doaj.org/article/e9e6229f20274d19a40adc73fa566648
Publikováno v:
Annals of Abbasi Shaheed Hospital and Karachi Medical & Dental College, Vol 29, Iss 1 (2024)
Objective: To determine the association body mass index and the status of dental decay and gum health in women serving prison sentences. Methods: A cross-sectional investigation took place at the Central Jail for Women, Pakistan, spanning from Janu
Externí odkaz:
https://doaj.org/article/d6c4f78cf3814a0a8891e8cff0688809
Publikováno v:
Pakistan Armed Forces Medical Journal, Vol 73, Iss 4 (2023)
Objective: To assess the association of smoking with dental caries and periodontal health status among incarcerated women in Karachi facility, Sindh, Pakistan. Study Design: Cross-sectional study. Place and Duration of study: Department of Commun
Externí odkaz:
https://doaj.org/article/035bfd7094b8493e8286367e845756da
Autor:
Vengala Rao Yenuganti, Sumbul Afroz, Rafiq Ahmad Khan, Chandrima Bharadwaj, Deepti Kailash Nabariya, Nagaraj Nayak, Madhuri Subbiah, Kumaraswami Chintala, Sharmistha Banerjee, Pallu Reddanna, Nooruddin Khan
Publikováno v:
Journal of Nanobiotechnology, Vol 20, Iss 1, Pp 1-15 (2022)
Abstract Background Exosomes are nano-sized vesicles secreted by various cells into the intra and extracellular space and hence is an integral part of biological fluids including milk. In the last few decades, many research groups have proved the pot
Externí odkaz:
https://doaj.org/article/8726ac4786144ff2bbc1f6c5eecada42
Autor:
Clasen, Kai Norman, Hackel, Leonard, Burgert, Tom, Sumbul, Gencer, Demir, Begüm, Markl, Volker
This paper presents refined BigEarthNet (reBEN) that is a large-scale, multi-modal remote sensing dataset constructed to support deep learning (DL) studies for remote sensing image analysis. The reBEN dataset consists of 549,488 pairs of Sentinel-1 a
Externí odkaz:
http://arxiv.org/abs/2407.03653
Autor:
Aliza Naz, Sumbul Asif, Khairiah Mubarak Alwutayd, Sara Sarfaraz, Sumra Wajid Abbasi, Asim Abbasi, Abdulkareem M. Alenazi, Mohamed E. Hasan
Publikováno v:
Molecules, Vol 28, Iss 7, p 2989 (2023)
Over the past few years, COVID-19 has caused widespread suffering worldwide. There is great research potential in this domain and it is also necessary. The main objective of this study was to identify potential inhibitors against acid sphingomyelinas
Externí odkaz:
https://doaj.org/article/6c920b07642b4758a7e451f5fc3f9207
Deep metric learning (DML) has shown to be effective for content-based image retrieval (CBIR) in remote sensing (RS). Most of DML methods for CBIR rely on a high number of annotated images to accurately learn model parameters of deep neural networks
Externí odkaz:
http://arxiv.org/abs/2406.10107