SQL Injection Prevention Technique Using Cryptography

In our day-to-day life, web applications play an important role such as shopping, making financial transactions, social networking, etc. Most of the business prefer online services instead of in-person services because it is easier for both customers and organizations. Making a web application available to everyone makes it more vulnerable. One of those vulnerabilities is SQL (Structured Query Language) injection. SQL injection is a technique where attackers inject malicious code through user inputs or URLs and gain access to the database. Through this attack, hackers can destroy or change the data present in the database. This paper focuses on how to prevent the SQL injection attacks using five cryptographic algorithms (AES, Triple DES, RSA, Blowfish, and Twofish). Finally, the research evaluates which cryptographic algorithm is most appropriate to prevent SQLIA in web applications

The relationship between stress and job performance among IT professionals in Jaffna district.

The modern-day businesses heavily depend on Information Technologies and systems. It leads to expanded job roles, increased the work demands and over pressures of Information Technology professionals. This study intended to find out the relationship between stress and job performance among IT professionals in Jaffna district. Snowball sampling technique was used and data were collected from 88 respondents by using E-Questionnaires through electronic media. Correlation analysis was done to carry out the study. The findings of the study revealed that stress is negatively co related (r= - 0.6917) with job performance of IT Professionals. The paper concludes with recommendations for further research

Sequence Classification Restricted Boltzmann Machines With Gated Units

For the classification of sequential data, dynamic Bayesian networks and recurrent neural networks (RNNs) are the preferred models. While the former can explicitly model the temporal dependences between the variables, and the latter have the capability of learning representations. The recurrent temporal restricted Boltzmann machine (RTRBM) is a model that combines these two features. However, learning and inference in RTRBMs can be difficult because of the exponential nature of its gradient computations when maximizing log likelihoods. In this article, first, we address this intractability by optimizing a conditional rather than a joint probability distribution when performing sequence classification. This results in the ``sequence classification restricted Boltzmann machine'' (SCRBM). Second, we introduce gated SCRBMs (gSCRBMs), which use an information processing gate, as an integration of SCRBMs with long short-term memory (LSTM) models. In the experiments reported in this article, we evaluate the proposed models on optical character recognition, chunking, and multiresident activity recognition in smart homes. The experimental results show that gSCRBMs achieve the performance comparable to that of the state of the art in all three tasks. gSCRBMs require far fewer parameters in comparison with other recurrent networks with memory gates, in particular, LSTMs and gated recurrent units (GRUs)

Functional characterization of the cytochrome P450 monooxygenase CYP71AU87 indicates a role in marrubiin biosynthesis in the medicinal plant Marrubium vulgare.

BackgroundHorehound (Marrubium vulgare) is a medicinal plant whose signature bioactive compounds, marrubiin and related furanoid diterpenoid lactones, have potential applications for the treatment of cardiovascular diseases and type II diabetes. Lack of scalable plant cultivation and the complex metabolite profile of M. vulgare limit access to marrubiin via extraction from plant biomass. Knowledge of the marrubiin-biosynthetic enzymes can enable the development of metabolic engineering platforms for marrubiin production. We previously identified two diterpene synthases, MvCPS1 and MvELS, that act sequentially to form 9,13-epoxy-labd-14-ene. Conversion of 9,13-epoxy-labd-14-ene by cytochrome P450 monooxygenase (P450) enzymes can be hypothesized to facilitate key functional modification reactions in the formation of marrubiin and related compounds.ResultsMining a M. vulgare leaf transcriptome database identified 95 full-length P450 candidates. Cloning and functional analysis of select P450 candidates showing high transcript abundance revealed a member of the CYP71 family, CYP71AU87, that catalyzed the hydroxylation of 9,13-epoxy-labd-14-ene to yield two isomeric products, 9,13-epoxy labd-14-ene-18-ol and 9,13-epoxy labd-14-ene-19-ol, as verified by GC-MS and NMR analysis. Additional transient Nicotiana benthamiana co-expression assays of CYP71AU87 with different diterpene synthase pairs suggested that CYP71AU87 is specific to the sequential MvCPS1 and MvELS product 9,13-epoxy-labd-14-ene. Although the P450 products were not detectable in planta, high levels of CYP71AU87 gene expression in marrubiin-accumulating tissues supported a role in the formation of marrubiin and related diterpenoids in M. vulgare.ConclusionsIn a sequential reaction with the diterpene synthase pair MvCPS1 and MvELS, CYP71AU87 forms the isomeric products 9,13-epoxy labd-14-ene-18/19-ol as probable intermediates in marrubiin biosynthesis. Although its metabolic relevance in planta will necessitate further genetic studies, identification of the CYP71AU87 catalytic activity expands our knowledge of the functional landscape of plant P450 enzymes involved in specialized diterpenoid metabolism and can provide a resource for the formulation of marrubiin and related bioactive natural products

An optimal power flow solution to deregulated electricity power market using meta-heuristic algorithms considering load congestion environment

In this article, the Improved Mayfly Algorithm (IMA) is used as an upgraded form of the Mayfly Algorithm (MA), featuring simulated binary crossover and polynomial mutation operators replacing the arithmetic crossover and standard distribution mutation operators of the MA. With MA, IMA's achievements and significance are acknowledged. The algorithms achieve a final best solution for the investigated objective functions of the optimal power flow problem in a deregulated electrical power market under different load conditions. The overall load of the power system varies between half of the base load (-50%) and twice the base load (+100%). The investigated objective functions are associated with the financial worth of generators, dissipation of active power in transmission lines, variation of voltage magnitudes at the system bus, and voltage stability index at the load bus of the power system networks. The result achieved by GA, PSO, MA and IMA are attained using the IEEE-30 bus test system in a deregulated power system. Investigations are conducted on the best solutions for each objective function; offers of generators and bids of loads; generator sales and load purchases; and system revenues associated with different load scenarios. The simulated outcomes have confirmed that IMA would triumph over GA, PSO and MA

PHYTOCHEMICAL ANALYSIS AND COMPARATIVE ANTIPARKINSON ACTIVITY OF FOUR SPECIES OF MUCUNA

Objective: The aim was to study the antiparkinson activity in the seed extracts of four species of Mucuna.Methods: The hydroalcoholic extracts of seeds of four species of Mucuna were evaluated for antiparkinson activity of after a preliminary phytochemical study. The activity was measured in rats by indirectly measuring the decrease in malondialdehyde level, decrease in tongue protrusion frequency, and reduction in vacuous chewing movement after administering reserpine at the dose of 1 mg/kg. The dose levels of four species of Mucuna seed extract were kept at 100, 200, and 300 mg/Kg.Results: Extracts exhibited potent antiparkinson activity and achieved statistically significant p values compared with control group. The study corroborates and compares all four species of Mucuna. Conclusion: Among the extracts, the highest percentage of antiparkinson activity was recorded for Mucuna pruriens

Optimal Design of Wastewater Treatment Plant Using Adaptive Simulated Annealing

This paper deals with the application of Adaptive Simulated Annealing (ASA) for the optimal design of the wastewater treatment plant. The plant consists of a trickling filter, an activated sludge aeration vessel and a secondary clarifier.In this work a successful attempt has been made to use the ASA for optimal design of wastewater treatment plant. ASA based optimal design values have been compared with conventional optimization approaches and has been found to yield the lowest total construction cost of wastewater treatment plant. From this work, it has been found that artificial intelligence based optimization techniques such as adaptive simulated annealing is found to be suitable for the optimal design of wastewater treatment plant. @JASE

Effectiveness of a web- and mobile phone-based intervention to promote physical activity and healthy eating in middle-Aged males: Randomized controlled trial of the manup study

Background: The high number of adult males engaging in low levels of physical activity and poor dietary practices, and the health risks posed by these behaviours, necessitate broad-reaching intervention strategies. IT-based (web and mobile phone) interventions can be accessed by large numbers of people, yet there are few reported IT-based interventions targeting males’ physical activity and dietary practices. Objective: This study examines the effectiveness of a 9-month IT-based intervention to improve the physical activity, dietary behaviours and health literacy in middle-aged males compared to a print-based intervention. Methods: Participants, recruited offline (e.g. newspaper ads), were randomized into either an IT-based or print-based intervention arm on a 2:1 basis in favour of the fully automated IT-based arm. Participants were adult males aged 35-54 years living in two regional cities in Queensland Australia who could access the internet, owned a mobile phone and were able to increase their activity level. The intervention, ManUp, was informed by social cognitive and self regulation theories and was specifically designed to target males. Educational materials were provided and self-monitoring of physical activity and nutrition behaviours was promoted. Intervention content was the same in both intervention arms, only the delivery mode differed, and content could be accessed throughout the 9-month study period. Participants’ physical activity, dietary behaviours, and health literacy were measured using online surveys at baseline, 3 months and 9 months. Results: A total of 301 participants completed baseline assessments, 205 in the ITbased arm and 96 in the print-based arm. A total of 124 participants completed all three assessments. There were no significant between group differences in physical 5 activity and dietary behaviours (p ≥0.05). Participants reported an increased number of minutes and sessions of physical activity at 3 months (b(exp)=1.45, 95% CI=1.09-1.95; b(exp)=1.61, 95% CI=1.17-2.22) and 9 months (b(exp)=1.55, 95% CI=1.14-2.10; b(exp)=1.51, 95% CI=1.15-2.00). Overall dietary behaviours improved at 3 months (b(exp)=1.07, 95% CI=1.03-1.11) and 9 months (b(exp)=1.10, 95% CI=1.05-1.13). The proportion of participants in both groups eating higher-fibre bread and low-fat milk increased at 3 months (b(exp) = 2.25, 95% CI = 1.29-3.92; b(exp)=1.65, 95% CI = 1.07-2.55). Participants in the IT-based arm were less likely to report that 30 minutes of physical activity per day improves health (b(exp)=0.48, 95% CI=0.26-0.90) and more likely to report that vigorous intensity physical activity 3 times per week is essential (b(exp)=1.70, 95% CI=1.02-2.82). The average number of logins to the IT-platform at 3 and 9 months was 6.99 (SE=0.86) and 9.22 (SE=1.47), respectively. The average number of self-monitoring entries at 3 and 9 months was 16.69 (SE=2.38) and 22.51 (SE=3.79), respectively. Conclusions: The ManUp intervention was effective in improving physical activity and dietary behaviours in middle aged males with no significant differences between IT- and print-based delivery modes

Clinical significance of preoperative serum interleukin-6 and C-reactive protein level in breast cancer patients

<p>Abstract</p> <p>Background</p> <p>Breast cancer is a disease that continues to plague females during their entire lifetime. IL-6 and CRP are found to be elevated in various inflammatory and malignant diseases and their levels are found to correlate with the extent of the disease. The primary objective of this study was to determine the preoperative serum levels of IL-6 and CRP in breast carcinoma, and to correlate them with the staging of the disease and the prognosis.</p> <p>Methods</p> <p>59 female patients admitted for breast cancer were identified for the study and were subjected to thorough evaluation. Serum levels of IL-6 were assessed via Enzyme-Linked Immuno-Sorbent Assay (ELISA), and CRP was measured via immunoturbidimetry. Histological findings included tumour size, lymph node (LN) metastasis, and tumour staging. Relevant investigations were made to find out the presence of distant metastasis. Statistical analysis of the data was then processed.</p> <p>Results</p> <p>Increases in cancer invasion and staging are generally associated with increases in preoperative serum IL-6 levels. IL-6 and CRP levels correlated with LN metastasis (P < 0.001, P < 0.001) and TNM stage (P < 0.001, P < 0.001). Tumour invasion and the presence of distant metastasis is associated with higher IL-6 levels (P = 0.001, P = 0.009). When we established the cutoff value for IL-6 level (20.55 pg/dl) by ROC curve, we noted a significant difference in overall survival (OS; P = 0.008). However, CRP evidenced no significance with regard to patient's OS levels. Serum IL-6 levels were correlated positively with CRP levels (r2 = 0.579, P < 0.01)</p> <p>Conclusion</p> <p>Serum levels of IL-6 correlates well with the extent of tumor invasion, LN metastasis, distant metastasis and TNM staging thus enveloping all aspects of breast cancer.</p