Molecular defects responsible for β-thalassemias (thal) were investigated among 254 chromosomes from 127 transfusion-dependent unrelated thalassemic patients from two provinces in Northern Iraq. Among fourteen identified mutations, the seven most common found in 88.2% of the thal chromosomes were: IVS-II-1 (G → A), IVS-I-1 (G → A), codon 8 (-AA), codon 39 (G → T), codon 8/9 (+G), codon 44 (-C), and codon 5 (-CT). There were some notable differences in frequencies of various mutations in comparison to other Eastern Mediterranean populations, as well as between the two provinces studied. The latter illustrates the relative heterogeneity of the mutations distribution in Iraq, and the need to screen other areas of the country, to ensure establishing an effective prenatal program.
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http://dx.doi.org/10.4061/2010/479282 | DOI Listing |
J Taibah Univ Med Sci
December 2024
Department of Guidance and Counseling, Universitas Nias Raya, Utara, Indonesia.
Nucleic Acids Res
December 2024
Bioinformatics Group, Wageningen University & Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands.
Specialized or secondary metabolites are small molecules of biological origin, often showing potent biological activities with applications in agriculture, engineering and medicine. Usually, the biosynthesis of these natural products is governed by sets of co-regulated and physically clustered genes known as biosynthetic gene clusters (BGCs). To share information about BGCs in a standardized and machine-readable way, the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard and repository was initiated in 2015.
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October 2024
National School of Electronics and Telecommunications, University of Sfax, Sfax, Tunisia.
Specifically, Iraq is threatened in its second-largest northern city, Mosul, by the collapse of the Mosul Dam due to problems at the root of the dam, causing a wave of floods that will cause massive loss of life, resources, and public property. The objective of this study is to effectively monitor the level of dam water by predicting the level of water held by the dam In anticipation of achieving flood stage and breaking the dam, and supporting its behavior through formation 14-day time series data to predict seven days later. Used six deep learning models (deep neural network (DNN), convolutional neural network (CNN), convolutional neural network long short-term memory (CNN-LSTM), CNN-LSTM-Skip and CNN-LSTM Skip Attention) that models were trained to predict the water level in the dam; these levels of being under surveillance and prepared In case of danger, alert people to potential flood threats depending on the dam's water level.
View Article and Find Full Text PDFSci Rep
November 2024
Faculty of Data Science and Information Technology, INTI International University, Nilai, 71800, Malaysia.
Optimization of thermophysical properties (TPPs) of MXene-based nanofluids is essential to increase the performance of hybrid solar photovoltaic and thermal (PV/T) systems. This study proposes a hybrid approach to optimize the TPPs of MXene-based Ionanofluids. The input variables are the MXene mass fraction (MF) and temperature.
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November 2024
Department of pharmacy, Faculty of medicine and health science, Almahweet University, Almahweet, 6803, Yemen.
Angiogenesis is the formation of blood vessels from the existing vasculature, which is important in the tumor growth where the metastatic spread, of cancer cells depends on an adequate supply of oxygen and nutrients and the removal of waste products. Targeting angiogenesis has emerged as a promising therapeutic strategy for cancer treatment. This study presents the synthesis and evaluation of a novel Ag-CeO-ZnO (AgCZ) nanocomposite designed to specifically inhibit angiogenesis for effective cancer therapy.
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