Zobrazeno 1 - 10
of 45 574
pro vyhledávání: '"Chaudhry A"'
Autor:
Muhammad Imran, Ramna Zia, Maryam Ali, Saima Sadaf, Kiran Iqbal, Asad Ali, Usama Iqbal, Sana Muhammad Din, Jawaria Shahid, Ali Ahsan, Zahra Kalim, Chaudhry Ahmed Shabbir, Sajjad Ullah
Publikováno v:
Clinical Nutrition Open Science, Vol 57, Iss , Pp 78-87 (2024)
Summary: SARS-CoV-2 has had a significant worldwide impact, leading to widespread illness and mortality. With the lack of specific antiviral treatments, there is a growing interest in exploring the potential therapeutic effects of various nutritional
Externí odkaz:
https://doaj.org/article/a468efcae4d349e0ae38a4a436da6848
Autor:
Chaudhry Ali Ahmad, Adnan Akhter, Muhammad Saleem Haider, Muhammad Taqqi Abbas, Abeer Hashem, Graciela Dolores Avila-Quezada, Elsayed Fathi Abd_Allah
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
Soil degradation has been accelerated by the use of chemical pesticides and poor agricultural practices, which has had an impact on crop productivity. Recently, there has been a lot of interest in the use of eco-friendly biochar applications to enhan
Externí odkaz:
https://doaj.org/article/f5befd62cce34ff79efb404186fa2d0a
Autor:
Ishtiaq Ahmad, Hira Taimur, Sameera Shabbir, Chaudhry Ahmed Shabbir, Ali Ahsan, Hafiz Sultan Ahmad, Gaku Masuda
Publikováno v:
Healthcare, Vol 12, Iss 9, p 941 (2024)
(1) Background: International students with sufficient health literacy are better equipped to respond to public health emergencies and reduce any unintentional harm that may occur during such events. This study aims to assess the current status of he
Externí odkaz:
https://doaj.org/article/b500a60be0e54a6d8f220e18b78ccfee
Autor:
Mohammad Shaokat Ali, Shamima Ahmed, Mohammad Sharif Uddin, Chaudhry Ahmed Shabbir, Suvanker Saha, Shamsul Morshed
Publikováno v:
Turkish Journal of Agriculture: Food Science and Technology, Vol 11, Iss 4, Pp 730-736 (2023)
This study was carried out to examine the prevalence of AFM1 contamination across different areas of Chattogram, Bangladesh, and to assess the level of AFM1 in raw milk samples from various dairy farms. A cross-sectional study was conducted to assess
Externí odkaz:
https://doaj.org/article/5f2ce4fd3df44d70af5890ce386d5e62
Publikováno v:
Royal Society Open Science, Vol 10, Iss 8 (2023)
The abrupt variation in climatic patterns has become a global concern in terms of food security. Biochar, known to ameliorate climatic adversities by sequestering carbon and activating systemic resistance pathways in plants, has become increasingly r
Externí odkaz:
https://doaj.org/article/78075fafe20e44f69ac3e3ac723c1fce
Publikováno v:
BMC Chemistry, Vol 16, Iss 1, Pp 1-9 (2022)
Abstract Background In this work, nickel oxide nanoparticles were prepared by polyol mediated aqueous route of sol–gel process using nickel nitrate hexahydrate as precursor, a mixture of isopropyl alcohol and water as solvent and glycerol for makin
Externí odkaz:
https://doaj.org/article/3fe0936de40e499c92465335139d8b89
We introduce a family of symmetric convex bodies called generalized ellipsoids of degree $d$ (GE-$d$s), with ellipsoids corresponding to the case of $d=0$. Generalized ellipsoids (GEs) retain many geometric, algebraic, and algorithmic properties of e
Externí odkaz:
http://arxiv.org/abs/2407.20362
Autor:
Cheung, Yin Bun, Ma, Xiangmei, Chaudhry, Isha, Liu, Nan, Zhuang, Qingyuan, Yang, Grace Meijuan, Malhotra, Chetna, Finkelstein, Eric Andrew
Background: Incidence of adverse outcome events rises as patients with advanced illness approach end-of-life. Exposures that tend to occur near end-of-life, e.g., use of wheelchair, oxygen therapy and palliative care, may therefore be found associate
Externí odkaz:
http://arxiv.org/abs/2407.02178
Autor:
Kulsoom, Farzana, Savazzi, Pietro, Dell'Acqua, Fabio, Chaudhry, Hassan Nazeer, Vizziello, Anna
Galvanic coupled-intra-body communication (GC-IBC) is an innovative research area contributing to transform personalized medicine by enabling seamless connectivity and communication among implanted devices. To establish a reliable communication link
Externí odkaz:
http://arxiv.org/abs/2407.01195
Recently, outstanding identification rates in image classification tasks were achieved by convolutional neural networks (CNNs). to use such skills, selective CNNs trained on a dataset of well-known images of metal surface defects captured with an RGB
Externí odkaz:
http://arxiv.org/abs/2406.14583