9 hasil untuk "Muhammad Ismail"
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Hesitant 2-tuple fuzzy linguistic multi-criteria decision-making method based on correlation measures
Correlation is considered the most important factor in analyzing the data in statistics. It is used to measure the movement of two different variables linearly. The concept of correlation is well-known and used in different fields to measure the association between two variables. The hesitant…
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Linkage disequilibrium block single-nucleotide polymorphisms in FTO alpha ketoglutarate dependent dioxygenase gene inference with breast cancer and Type II diabetes in Pakistani female population
Breast Cancer and Diabetes Mellitus are top ranked non-communicable life threatening diseases concerned in South Asia. The growing scientific clues witness the involvement of genetic variations which readily serve as risk factors for the disease onset. Comprehending the association of genetic…
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Pharmacophore modeling for identification of anti-IGF-1R drugs and in-vitro validation of fulvestrant as a potential inhibitor
Insulin-like growth factor 1 receptor (IGF-1R) is an important therapeutic target for breast cancer treatment. The alteration in the IGF-1R associated signaling network due to various genetic and environmental factors leads the system towards metastasis. The pharmacophore modeling and logical…
Dari koleksi institusi
- Berjabat Tangan Dengan PerempuanMuhammad Ismail · 1996 · UNILAK
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Partial stratified ranked set sampling scheme for estimation of population mean and median
Ranked set sampling is an alternative to simple random sampling, which uses the least amount of money and time. The ranked set sampling (RSS) is modified to obtain a more efficient and cost-effective estimator of population parameters. This paper aims to bring a more efficient and cost-effective…
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Advancements in intrusion detection: A lightweight hybrid RNN-RF model
Computer networks face vulnerability to numerous attacks, which pose significant threats to our data security and the freedom of communication. This paper introduces a novel intrusion detection technique that diverges from traditional methods by leveraging Recurrent Neural Networks (RNNs) for both…
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Multi-locus SNP analyses of interleukin 1 receptor associated kinases 2 gene polymorphisms with the susceptibility to rheumatoid arthritis
Background: The genetic polymorphisms (rs708035, rs3844283) of Interleukin-1 receptor associated kinases 2 (IRAK2) is involved in the NFκB regulatory pathway. The frequencies of IRAK2 gene are unknown in Pakistani population. Therefore, the study was designed to examine the association of targeted…
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Pharmacological activities of Artemisia absinthium and control of hepatic cancer by expression regulation of TGFβ1 and MYC genes
Plant derived compounds have always been an important source of medicines and have received significant attention in recent years due to their diverse pharmacological properties. Millions of plant-based herbal or traditional medicines are used to cure various types of cancers especially due to…
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Artikel Jurnal Teks lengkap
Photodynamic Effect of Ni Nanotubes on an HeLa Cell Line
Nickel nanomaterials are promising in the biomedical field, especially in cancer diagnostics and targeted therapy, due to their distinctive chemical and physical properties. In this experiment, the toxicity of nickel nanotubes (Ni NTs) were tested in an in vitro cervical cancer model (HeLa cell…
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Artikel Jurnal Teks lengkap
Understanding The Mimicker: Epidemiological Pattern and Determinant of Melioidosis Mortality in Negeri Sembilan, Malaysia
Background: Melioidosis, a tropical infectious disease caused by Burkholderia pseudomallei, is epidemic in most region in Southeast Asia with high case fatality. However, there is scanty information regarding the disease’s epidemiological pattern, demographics, and underlying risk factors. Method…