Výsledky vyhledávání - "AHMAD, NASEER"

Akademický článek

Exploring the enigma: history, present, and future of long non-coding RNAs in cancer

Autor: Qais Ahmad Naseer, Abdul Malik, Fengyuan Zhang, Shengxia Chen

Publikováno v: Discover Oncology, Vol 15, Iss 1, Pp 1-22 (2024)

Abstract Long noncoding RNAs (lncRNAs), which are more than 200 nucleotides in length and do not encode proteins, play crucial roles in governing gene expression at both the transcriptional and posttranscriptional levels. These molecules demonstrate

Externí odkaz: https://doaj.org/article/0e4f7afd3b084faf9966ca08f48bf2dc

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Akademický článek

Integration of LSPR-based colorimetric sensing and smartphone-assisted dual read-out microfluidic paper-based analytical devices for rapid detection of Pb2+ in environmental samples

Autor: Rasheed, Sufian, Ahmad, Naseer, Nafady, Ayman, Anwar Ul Haq, Muhammad, Kanwal, Tehreem, Mujeeb-ur-Rehman, Hussain, Dilshad, Sirajuddin, Ali Soomro, Razium

Publikováno v: In Measurement 15 January 2025 239

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Akademický článek

Research progress on the application of magnetophoretic separation technology in detection of food quality

Autor: Zhu, Zhongshi, Yang, Jinrui, Tong, Peishuai, Niu, Chen, Ahmad, Naseer, Zhang, Lei, Yuan, Hao, Song, Yuxuan

Publikováno v: In Journal of Food Composition and Analysis January 2025 137 Part B

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Akademický článek

A critical literature review highlighting the methodological differences within epidemiological studies: Pedal Amputations in England

Autor: Bowling, Frank L., Burdett, Lauren, Foley, Keeley, Hodge, Stacie, Davies, Maria, Ahmad, Naseer

Publikováno v: In The Foot September 2024 60

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Akademický článek

Facile and scalable growth of bimetallic 3D Ag/MIL125-NH2 on cotton fabric for multifaceted anti-wetting and self-healing characteristics

Autor: Ali, Tooba, Ahmad, Naseer, Nabeel, Muhammad Ikram, Xiao, Hua-Ming, Hussain, Dilshad

Publikováno v: In Carbon September 2024 228

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Report

A Cloud-based Deep Learning Framework for Remote Detection of Diabetic Foot Ulcers

Autor: Cassidy, Bill, Reeves, Neil D., Pappachan, Joseph M., Ahmad, Naseer, Haycocks, Samantha, Gillespie, David, Yap, Moi Hoon

This research proposes a mobile and cloud-based framework for the automatic detection of diabetic foot ulcers and conducts an investigation of its performance. The system uses a cross-platform mobile framework which enables the deployment of mobile a

Externí odkaz: http://arxiv.org/abs/2105.07763