Zobrazeno 1 - 10
of 9 401
pro vyhledávání: '"S., Alam"'
Publikováno v:
Cogent Education, Vol 11, Iss 1 (2024)
AbstractRote memory (RM) has become the primary method of learning vocabulary for decades in China. However, RM is tedious, leading to reduced motivation and concentration. In contrast, Educational Video Games (EVGs) are attractive and fun, which cou
Externí odkaz:
https://doaj.org/article/fe0f311ea8b34548974305f0207aeee8
Autor:
Francis D. Pope, Robin Price, Katherine E. Woolley, Carlo Luiu, Mohammed S. Alam, William R. Avis, Suzanne E. Bartington, Dawit Debebe, Zerihun Getaneh, Sheila M. Greenfield, Rachel Howells, Mukesh Khare, Abel Weldetinsae, Chloe Lawson, Sumit K. Mishra, Ben Neal, Karen Newman, Ajit Singh, Bikila Teklu Wodajo, G. Neil Thomas, Faye Wilder
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-8 (2024)
Abstract The World Health Organization estimates that air pollution causes approximately seven million premature deaths worldwide each year. Solutions to air pollution are well known, yet this rarely equates to easily actionable. Here we demonstrate
Externí odkaz:
https://doaj.org/article/c448784d96124c20a85fd5fadbbaa665
Autor:
Muhammad S. Alam, Matthias M. Gaida, Hagen R. Witzel, Shizuka Otsuka, Aamna Abbasi, Theresa Guerin, Abdalla Abdelmaksoud, Nathan Wong, Margaret C. Cam, Serguei Kozlov, Jonathan D. Ashwell
Publikováno v:
Cell Reports Medicine, Vol 5, Iss 9, Pp 101696- (2024)
Summary: Pancreatic adenocarcinoma (PDAC) is one the most intractable cancers, in part due to its highly inflammatory microenvironment and paucity of infiltrating dendritic cells (DCs). Here, we find that genetic ablation or antibody blockade of tumo
Externí odkaz:
https://doaj.org/article/9670d27153fc4e16929024a035649b41
Autor:
U. Saeed, M. R. Uppal, R. Uppal, M. S. Uppal, A. A. Khan, A. Mehmood, H. Saleem, M. S. Alam, Dilber Uzun Ozsahin, Berna Uzun, Ilker Ozsahin, Z. Z. Piracha
Publikováno v:
Brazilian Journal of Biology, Vol 84 (2024)
Abstract Coronary Artery Disease (CAD) is a global health concern, with diagnostic modalities and risk factors that exhibit regional variations. This study, conducted at the Islamabad Diagnostic Center, Pakistan, aimed to provide a comprehensive asse
Externí odkaz:
https://doaj.org/article/50125374c7604ffe86253b7e5baea2db
Publikováno v:
Cell Reports, Vol 43, Iss 8, Pp 114568- (2024)
Summary: The serine/threonine phosphatase calcineurin is a component of the T cell receptor (TCR) signalosome, where it promotes T cell activation by dephosphorylating LckS59. Using small interfering RNA (siRNA)-mediated knockdown and CRISPR-Cas9-tar
Externí odkaz:
https://doaj.org/article/3339574eecf74775939acbcf6384581a
Autor:
Jung-Eun Park, Tae-Sung Kim, Yan Zeng, Melissa Mikolaj, Jong Il Ahn, Muhammad S. Alam, Christina M. Monnie, Victoria Shi, Ming Zhou, Tae-Wook Chun, Frank Maldarelli, Kedar Narayan, Jinwoo Ahn, Jonathan D. Ashwell, Klaus Strebel, Kyung S. Lee
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract HIV-1 infection elevates the risk of developing various cancers, including T-cell lymphoma. Whether HIV-1-encoded proteins directly contribute to oncogenesis remains unknown. We observe that approximately 1–5% of CD4+ T cells from the bloo
Externí odkaz:
https://doaj.org/article/a62a5df966d346acae50282c12b35957
Autor:
Md S. ALAM, Bassam R. RAJHI, Mohammad F. ALAM, Malik M. HAMZI, Mohammed ALBRATTY, Hassan A. ALHAZMI, Asim NAJMI, Khalid ZOGHEBI, Zia ur REHMAN, Sivakumar S. MONI
Publikováno v:
Notulae Botanicae Horti Agrobotanici Cluj-Napoca, Vol 52, Iss 2 (2024)
Traditional healers have used the shrub Calotropis procera (CP) for many years for various therapies. The present study investigated the bioactive constituents of ethanolic extract of CP leaf and dried latex using gas chromatography-mass spectrometry
Externí odkaz:
https://doaj.org/article/4caae953e2d049f0962175644d40e0d3
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e30320- (2024)
Sentiment Analysis (SA) employing Natural Language Processing (NLP) is pivotal in determining the positivity and negativity of customer feedback. Although significant research in SA is focused on English texts, there is a growing demand for SA in oth
Externí odkaz:
https://doaj.org/article/840626cc96f34d86b242bc1131a0eb3a
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e27863- (2024)
Sentiment analysis (SA) is a subfield of artificial intelligence that entails natural language processing. This has become increasingly significant because it discerns the emotional tone of reviews, categorising them as positive, neutral, or negative
Externí odkaz:
https://doaj.org/article/36be43bbe5af4d4b8537f699fb612b17