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Articles from Springer a leading global scientific publisher of scientific books and journals. - dna forensic @ Fri, 30 Jul 2021 at 07:32 AM
A New Network Forensic Investigation Process Model - Mobile Computing and Sustainable Informatics @ 2022-01-01
The procedure of the identification and analysis of electronic data is the digital forensics framework. The purpose of the procedure is to retain evidence in its primordial form by gathering, identifying and validating digital information in order to recreate events of the past. For the use of data in a court of law, the context is most appropriate. The evidence aspect of digital forensics requires strict requirements to be followed in court for cross-examination. One major pitfall in the digital forensic analysis is the possible admissibility of collected evidence in the court of law. Digital forensic analysis must comply with the quality of evidence and its admissibility to trial successfully. In this work, we proposed a new network forensic investigation process model. We precisely establish a methodology of investigation for the computer network.
 
Polymeric Biocomposites from Renewable and Sustainable Natural Resources - Polymeric and Natural Composites @ 2022-01-01
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Polymeric Biocomposites from Renewable and Sustainable Natural Resources - Polymeric and Natural Composites @ 2022-01-01
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Polymeric Biocomposites from Renewable and Sustainable Natural Resources - Polymeric and Natural Composites @ 2022-01-01
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Polymeric Biocomposites from Renewable and Sustainable Natural Resources - Polymeric and Natural Composites @ 2022-01-01
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Polymeric Biocomposites from Renewable and Sustainable Natural Resources - Polymeric and Natural Composites @ 2022-01-01
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Polymeric Biocomposites from Renewable and Sustainable Natural Resources - Polymeric and Natural Composites @ 2022-01-01
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Polymeric Biocomposites from Renewable and Sustainable Natural Resources - Polymeric and Natural Composites @ 2022-01-01
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Polymeric Biocomposites from Renewable and Sustainable Natural Resources - Polymeric and Natural Composites @ 2022-01-01
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Polymeric Biocomposites from Renewable and Sustainable Natural Resources - Polymeric and Natural Composites @ 2022-01-01
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Polymeric Biocomposites from Renewable and Sustainable Natural Resources - Polymeric and Natural Composites @ 2022-01-01
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Polymeric Biocomposites from Renewable and Sustainable Natural Resources - Polymeric and Natural Composites @ 2022-01-01
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Technology advances such as the Internet of Things (IoT), Blockchain, application of AI analytic platform tools to Big Data, and so on have helped generate significant wealth in the developed economy. However, resulting outcomes have incurred negative human and societal consequences particularly in governance and the environment which the public and business have sought to mitigate by embracing policies such as Environmental Social Governance (ESG), Corporate Social Responsibility (CSR), the United Nation’s Sustainable Development Goals (SDGs), and the UN Guiding Principles on business and human rights.Ironically, the application of analytic tools to data is critical to achieving these goals as exemplified in a smart village-developed economy. However, in the face of exponential technology advances, governance in a smart village-developed economy has often been rendered less effective and relegated to aspirational outcomes only.As personal privacy increasingly comes under siege, the public demands government regulations to rein in direct and indirect exploitation of personal data. This chapter explores the governance issues of obtaining, storing, sharing and protecting data in the developed economy’s smart village, paying special attention to the adequacy of current governance frameworks in three advanced societies, and scrutinizing technology-driven solutions which might mitigate the problems that were exacerbated by technology in the first place.
 
Effective Spam Bot Detection Using Glow Worm-Based Generalized Regression Neural Network - Mobile Computing and Sustainable Informatics @ 2022-01-01
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This study aimed to discover the effect of miR-124/STAT3 axis on the inflammation and cell apoptosis in myocardial infarction (MI) rats. Sprague–Dawley (SD) male rats were selected for establishing MI models and divided into Sham, MI, MI?+?anti-miR-124 and MI?+?Ad-miR-124 groups. Cardiac function was detected via echocardiography. Hematoxylin & eosin (HE) and triphenyltetrazolium chloride (TTC) staining were used to observe the pathological changes and infarction area, while transferase (TdT)-mediated D-UTP-biotin nick end labeling (TUNEL) assay was to observe myocardial apoptosis. Enzyme-linked immunosorbent assay (ELISA) was used to determine the serum levels of inflammatory cytokines. Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) and western blotting were performed to determine the mRNA and protein levels, respectively. Dual luciferase reporter gene assay revealed that STAT3 was a target gene of miR-124. The expression levels of miR-124 were increased and the pSTAT3/STAT3 ratio was reduced in the MI rats. The rats in the MI group showed enhanced LVEDD and LVESD, reduced LVEF and LVFS, as well as larger myocardial infarction area compared with the Sham group, Besides, IL-1?, IL-6, TNF-? and MCP-1 levels were elevated and the expressions of Bax/Bcl-2 ratio and cleaved caspase-3 were downregulated in MI group. We further found that silencing miR-124 improved cardiac function, reduced infarction area and the levels of inflammatory cytokines, as well as prevented myocardial apoptosis in MI rats. Silencing miR-124 could inhibit the inflammation and apoptosis of myocardial cells, thereby relieving the MI injury via upregulation of STAT3.
 
Title: - International Journal of Peptide Research and Therapeutics @ 2021-09-01
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Title: - International Journal of Peptide Research and Therapeutics @ 2021-09-01
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DNA barcoding is an innovative tool to rapidly identify and classify organisms based on highly conserved species-specific DNA sequences. This technique has developed in parallel with other genomic-based investigations, which share special emphasis on the acquisition of data pertaining to hotspots regions of DNA (usually short sequence of DNA up to 400–800 bps). These molecular techniques helped answer many queries that remain unanswered by the traditional approaches to accurately identify organisms across the kingdoms of life. Barcoding has narrowed the gap created between diverse range of ecological and traditional studies previously left by the traditional taxonomists. These internal DNA sequence tags, which serve as molecular operational taxonomic units, originate from both nuclear as well as cytoplasmic DNA, making it further convenient to barcode organisms from lower to higher organisms. The most commonly used DNA regions in molecular taxonomic approaches include the internal transcribed spacer regions in nuclear DNA, Cox1 region in mitochondrial DNA, rbcL and mat K gene in chloroplast DNA. Further, many other DNA regions suitable for barcoding have also been identified. It is increasingly evident from a large number of investigations that DNA barcoding has made Linnaean taxonomic system more accessible and convenient to other traditional biologists. Current understanding of the DNA barcoding will further help to understand the basic mechanism and also reveal applications of this approach in different fields. Primarily these approaches offer traditional taxonomists a great opportunity to expand the realistic inventory of the diversity of flora and fauna on planet earth. This review has been written to have better understanding of the mechanism of DNA barcoding, knowledge of DNA regions that can be used as targets, applications and implications of DNA barcoding.
 
 
 
Title: - Food Analytical Methods @ 2021-08-01
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Title: - Food Analytical Methods @ 2021-08-01
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Found 25 Articles for dna forensic