Concurrent molecular characterization of sand flies and Leishmania parasites by amplicon-based next-generation sequencing

Autor: Nasereddin, A., Ereqat, S., Al-Jawabreh, A., Taradeh, M., Abbasi, I., Al-Jawabreh, H., Sawalha, S., Abdeen, Z.

Publikováno v: In Clinica Chimica Acta 1 May 2024 558 Supplement 1

Concurrent molecular characterization of sand flies and Leishmania parasites by amplicon-based next-generation sequencing.

Autor: Nasereddin A; Biochemistry and Molecular Biology Department, Faculty of Medicine, Al-Quds University, Abu Deis, East Jerusalem, Palestine., Ereqat S; Biochemistry and Molecular Biology Department, Faculty of Medicine, Al-Quds University, Abu Deis, East Jerusalem, Palestine. sereqat@staff.alquds.edu., Al-Jawabreh A; Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, Arab American University, Jenin, Palestine.; Leishmaniases Research Unit, Jericho, Palestine., Taradeh M; Al-Quds Nutrition and Health Research Institute, Al-Quds University, East Jerusalem, Palestine.; AL-Quds Public Health Society, East Jerusalem, Palestine., Abbasi I; Department of Biology and Biotechnology, Al-Quds University, East Jerusalem, Palestine., Al-Jawabreh H; Leishmaniases Research Unit, Jericho, Palestine.; Al-Quds Nutrition and Health Research Institute, Al-Quds University, East Jerusalem, Palestine.; AL-Quds Public Health Society, East Jerusalem, Palestine., Sawalha S; Ministry of Health, Ramallah, Palestine., Abdeen Z; Al-Quds Nutrition and Health Research Institute, Al-Quds University, East Jerusalem, Palestine.; AL-Quds Public Health Society, East Jerusalem, Palestine.

Publikováno v: Parasites & vectors [Parasit Vectors] 2022 Jul 22; Vol. 15 (1), pp. 262. Date of Electronic Publication: 2022 Jul 22.

An Improved Binary Walrus Optimizer with Golden Sine Disturbance and Population Regeneration Mechanism to Solve Feature Selection Problems.

Autor: Geng, Yanyu^1,2 gengyy14@mails.jlu.edu.cn, Li, Ying^1,2, Deng, Chunyan^1,2

Publikováno v: Biomimetics (2313-7673). Aug2024, Vol. 9 Issue 8, p501. 31p.

Feature selection via a multi-swarm salp swarm algorithm.

Autor: Wei, Bo^1,2, Jin, Xiao¹ 202130504101@mails.zstu.edu.cn, Deng, Li³ lideng75@zstu.edu.cn, Huang, Yanrong⁴, Wu, Hongrun⁵

Publikováno v: Electronic Research Archive. 2024, Vol. 32 Issue 5, p1-30. 30p.

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