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سر ولیم کروکس

سر ولیم کروکس

            ماہ گذشتہ میں علمی دنیا کے لیے سب سے اہم حادثہ یہ ہوا کہ کیمسٹری کے استاد اعظم سر ولیم کروکس نے وفات پائی، موصوف کا شمار اس وقت دنیا کے ممتاز ترین علمائے سائنس میں تھا، اور ممالک برطانیہ میں تو یقینا ان سے بڑے درجہ کا کوئی شخص اس وقت نہ تھا، کیمسٹری میں ہیلیم کا عنصر انہیں نے دریافت کیا اس کے علاوہ ان کے متعدد اکتشافات تھے، جدید اہل سائنس کے گروہ میں شاید وہ پہلے شخص تھے جو عالم ’’روحانیات‘‘ کے وجود کے قائل ہوئے۔ (’’مولوی عبدالماجد‘‘،جون ۱۹۱۹ء)

Development and Validation of Extended Multi-Dimensional Scale of Entrepreneurial Ecosystem in the Context of Pakistan

The purpose of this research is to validate the multi-dimensional scale of EntrepreneurialcEcosystem in the context of Pakistan. This research is based on 7 constructs with 54 items that affect the entrepreneurial ecosystem in any given region. The sample of 244 respondents are the owners of companies and, startups who participated in this research. The Confirmatory factory analysis showed factor loadings of all constructs greater than 0.40, while partial least square structural equation modeling showed acceptable values of construct reliability, composite reliability, however, average variance extracted was shown to be greater than 0.40 and less than the acceptable value of 0.5 for some constructs, while the HTMT ratio established discriminant validity of the constructs another criterion i.e. Fornell-Larcker criterion also established the discriminant validity of the constructs with some constructs having values less than 0.705, while some of the item outer loadings were found to be between 0.6-0.70 however, within the acceptable range. This research has validated the multi-dimensional scale of the entrepreneurial ecosystem with new sub-domain i.e. Support professions and support finance. This scale can be used to measure the strength of the entrepreneurial ecosystem of any region with appropriate homogeneous sample

Prediction of Mirna Target Genes in Renal Cell Carcinoma by Using Machine Learning Algorithms

Renal cell cancer (RCC) is most prevalent type of renal carcinoma found in adults.The association of miRNAs with cancers is confirmed by identifying crucial role in many physiological processes like development, proliferation and death of cells. miRNAs enable the early cancer diagnosis and prognosis by classifying the miRNAs required for cancer diagnosis. Early stage cancer identification is soothing to deal and miRNAs are potentially incredible markers. Researchers looked at expressed miRNAs in the RCC and Scrabbled to create miRNA profiles to submit early detection and successful intervention. The prediction of miRNAs target genes can better understand personalized medicine and the application of machine learning (ML) methods are used to cope with big problems. So, we used Microsoft Azure ML (Platform as a Service) services to design a predictive experiment model with classification algorithms (Naive Bayes and Support vector machine), predictive models are trained and tested by putative datasets downloaded from miRTar.human and consume as web services and office add-ins in MS Excel. These models retrieved predicted information from 11460 results about 620 different miRNAs targeting 164 transcripts with 1695 different position on 20 genes of 14 Chromosome. The results showed that hsa-miR-1273d transcript ABCC2 and MAPK1 (with BC099905 and NM_002745 transcripts respectively), hsa-miR-744* transcript BRAF and BCL2 (with M14745 and NM_000633 transcripts) and hsa-miR-143* transcript PIK3CA, ALOX5, HIF1A, MAPK and TP53.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

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