The Study on Assessment of Security Web Applications

Nowadays, technology has an important role of our life, including smart devices, social media due to the importance of security and web for interaction so it has become targeted it by cybercriminal. The growing threat of cybersecurity has prompted the kingdom to pay more attention to its national cybersecurity strategy as the state embarks on a Vision 2030 plan, which aims to diversify the economy and create new jobs. Therefore, Web Applications are always having security threats, which considered as a big problem. Several steps introduced successful analysis of vulnerabilities in web applications. There are no efficient and easy to use tools for the security assessment of such applications. This paves the way for hackers to easily attack. In this paper, we recommend an efficient method to assess the vulnerability using Python, which can used to conduct Vulnerability Assessment on web applications. This work will be useful for organizations and programmers to keep their information and applications more secure and viable for usage in sensitive environments.

Bioactive compounds derived from Streptomyces sp. SA32: antibacterial activity, chemical profile, and their related genes

Microbes which are resistant to drugs and antibiotics as well as multi-drug resistant (MDR) microbes have developed due to the improper use of antibiotics and led to explore the microbial isolates as the sources of new antibiotics or those with highly effective and stabile attack. Streptomyces sp. SA32 was selected to inhibit the growth of MDR bacteria Escherichia coli, Staphylococcus aureus, Klebsiella pneumonia, Pseudomonas aeruginosa, Enterobacter cloaceae, and Enterococcus sp. E. coli was sensitive to crude extracts of Streptomyces sp. SA32 at the concentration of 19 g.mL-1 with moderate strength against E. cloacae. The bioactive compounds analyzed using thin layer chromatography and phytochemical methods showed that the spot with Rf 0.63 and 0.68 was polyketide compound and that with Rf 0.74 was flavonoid compound. The bioautography assay on the TLC plate confirmed the absence of MDR bacterial growth on polyketide and flavonoid spots. The synthesis of antibacterial compounds was also confirmed by the successful analysis on both non-ribosomal peptide synthetase (NRPS) and polyketide synthase (PKS) gene sequences.

Circulating endothelin-1 levels are positively associated with chronic kidney disease in women but not in men: a longitudinal study in the Vara-Skövde cohort

Background The vasoconstricting peptide endothelin-1 (ET-1) is associated with endothelial dysfunction. The aim of this paper was to investigate whether circulating ET-1 levels predicts chronic kidney disease (CKD) in a prospective population study. Methods In 2002–2005, 2816 participants (30–74 years) were randomly selected from two municipalities in South-Western Sweden and followed up in a representative sample of 1327 individuals after 10 years. Endothelin-1 levels were assessed at baseline. Outcome was defined as CKD stage 3 or above based on eGFR < 60 mL/min/1.73m2. Those 1314 participants with successful analysis of ET-1 were further analyzed using binary logistic regression. Results At follow-up, 51 (8%) men and 47 (7,8%) women had CKD stage 3 and above. Based on levels of ET-1 the population was divided into quintiles showing that women in the highest quintile (n = 132) had a significantly increased risk of developing CKD during the follow up period (OR = 2.54, 95% CI:1.19–5.45, p = 0.02) compared with the other quintiles (1–4). The association was borderline significant after adjusted for age, current smoking, alcohol consumption, hypertension, diabetes, BMI, high- sensitive CRP and LDL-cholesterol (OR = 2.25, 95% CI:0.97–5.24, p = 0.06). No significant differences were observed between quintiles of ET-1 and development of CKD in men (NS). Conclusions High levels of ET-1 are associated with development of CKD in women.

Circulating endothelin-1 levels are positively associated with chronic kidney disease in women but not in men: a longitudinal study in the Vara-Skövde cohort

Background: The vasoconstricting peptide endothelin-1 (ET-1) is associated with endothelial dysfunction. The aim of this paper was to investigate whether circulating ET-1 levels predicts chronic kidney disease (CKD) in a prospective population study.Methods:In 2002-2005, 2816 participants (30-74 years) were randomly selected from two municipalities in South-Western Sweden and followed up in a representative sample of 1327 individuals after ten years. Endothelin-1 levels were assessed at baseline. Outcome was defined as CKD stage 3 or above based on eGFR < 60 mL/min/1.73m2. Those 1314 participants with successful analysis of ET-1 were further analyzed using binary logistic regression.Results:At follow-up, 47 (7.2%) men and 63 (9.6%) women had CKD stage 3 and above. The level of ET-1 was divided into quintiles showing that women in the highest quintile (n=132) had a significantly increased risk of developing CKD during the follow up period (OR=2.379, 95% CI:1.23-4.61, p<0.01) compared with the other quintiles (1-4), even when adjusted for age, physical activity, current smoking, alcohol consumption, hypertension, diabetes, BMI, high- sensitive CRP and LDL-cholesterol (OR=2.66, 95% CI:1.29-5.49, p<0.01). No significant differences were observed between quintiles of ET-1 and development of CKD in men (NS). Conclusions:High levels of ET-1 are associated with development of CKD in women but not in men.

A wavelet-based approach for imputation in nonstationary multivariate time series

Many multivariate time series observed in practice are second order nonstationary, i.e. their covariance properties vary over time. In addition, missing observations in such data are encountered in many applications of interest, due to recording failures or sensor dropout, hindering successful analysis. This article introduces a novel method for data imputation in multivariate nonstationary time series, based on the so-called locally stationary wavelet modelling paradigm. Our methodology is shown to perform well across a range of simulation scenarios, with a variety of missingness structures, as well as being competitive in the stationary time series setting. We also demonstrate our technique on data arising in a health monitoring application.

A study of the application of graphite MALDI to the analysis of short-chain polyethylene glycols

MALDI-MS using colloidal graphite matrix doped with lithium chloride for the successful analysis of low molecular weight polymers.

ANALYSIS OF THE STATE AND TRENDS OF SPATIAL DATA VISUALIZATION

The growth of information technology has led to a significant expansion of the possibilities for storing, processing and presenting spatial data. This gave a new round of development to such a direction of cartography and geoinformatics as geovisualization. Interactivity and dynamics have become the main distinguishing features of modern maps, especially in the field of cartographic design, which now extend to the problems of human-computer interaction to ensure more successful analysis of geodata and the development of spatial solutions. The article examines the existing definitions of geovisualization and proposes its own version. The scheme and features of individual stages of geovisualization creation are considered. Typical tasks that need to be solved to create high-quality visualization of spatial data are formulated and their systematization is performed. On the basis of the mentioned above tasks and their specificity, the most promising areas of research in the field of geovisualization were identified.

The Language of Online Child Sexual Groomers - A Corpus Assisted Discourse Study of Intentions, Requests and Grooming Duration

Online grooming has become a wide-spread and worryingly fast increasing issue in society. This thesis analyses a corpus of online grooming communication, made available by the Perverted Justice (PJ) archive, a non-profit organisation that from 2004 until 2019 employed volunteers, who pretended to be children and entered chat rooms to catch and convict groomers, collaborating with law enforcement. The archive consists of 622 grooming chat logs and approx. 3.7 million words of groomer language. A corpus of this database was built, and a Corpus-Assisted Discourse Studies (CADS) approach used to analyse the language therein. Specifically, the language was compared to a reference corpus of general chat language data (PAN2012) and duration of online grooming and manipulative requesting behaviour were also investigated. The following research questions were answered: 1)What are the features of a corpus of online groomer language compared to that of a general digital chat language reference corpus? Is online groomer language distinct? How are online grooming intentions realised linguistically by online groomers?2)Does duration of grooming influence the grooming process/intentions? Is usage of specific words/specific grooming intentions associated with different duration of grooming? Can different duration profiles be established and, if so, what are the cut-off points for these duration profiles?3)How are requests realised in online grooming and how does duration influence this? How do groomers make requests and what support move functions do they use? Does duration influence how requests are made, and the type of support move function that are used?The thesis newly identifies nuanced linguistic realisations of groomers’ intentions and strategies, proposing a new working terminology for discourse-based models of online grooming. This is based on a review of the literature followed by an empirical analysis refining this terminology, which has not been done before. It finds evidence for two distinct duration-based grooming approaches and yields a fine-grained qualitative analysis of groomer requests, also influenced by grooming duration. There have only been very few studies using a CADS analysis of such a large dataset of groomer language and this thesis will lead to new insights, implications and significance for the successful analysis, detection and prevention of online grooming.

Thread-based isotachophoresis for DNA extraction and purification from biological samples

A rapid, low-cost, and disposable microfluidic thread-based isotachophoresis method was developed for the purification and preconcentration of nucleic acids from biological samples, prior to their extraction and successful analysis using...

Energy geostructures: Theory and application

The subsurface represents space and resource of ever-growing importance to meet human activity needs associated with the availability of built environments and energy. So-called energy geostructures represent a breakthrough technology in this context. By integrating the structural support role of earth-contact structures with the heating-cooling role of shallow geothermal heat exchangers, energy geostructures can sustain or enclose built environments while providing them with renewable thermal energy. Despite such promising features, the integrated roles of energy geostructures pose various challenges to understand their behavior and performance, and to address the related analysis and design. Appropriate formulation and application of scientific theory are crucial for the successful analysis and design of energy geostructures. This Bright Spark Lecture Paper presents selected theory for addressing the behavior and performance of energy geostructures, and discusses the application of this theory to analysis and design. In this context, the work focuses on energy piles and barrettes, energy tunnels, as well as energy walls and slabs. The ultimate goal of this paper is to provide competence for facilitating future research and development of energy geostructures across science and engineering.