Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection and Prevention of SQL Injection Attacks on Web Applications

Summary In this era where Internet has captured the world, level of security that this Internet provides has not grown as fast as the Internet application. Internet has eased the life of human in numerous ways, but defects such as intrusions that are attached with Internet applications keep on the growth of these applications. One such intrusion is the SQL Injection Attacks (SQLIA). In web applications with the help of the internet explorer the user tries to access the information. But most of the web applications are affected by the SQL-Injection attacks. In this paper we propose a method to detect the SQL-Injection attacks. We use a filtering proxy server to prevent a SQL-Injection attack.
Multiresolution Analysis in EEG Signal Feature Engineering for Epileptic Seizure Detection

In biomedical engineering, many attempts are being reported over the years for automated diagnosis of various brain disorders by classifying EEG (Electroencephalography) signals. Various machine learning algorithms are adopted to address different scenarios in EEG classifications. Feature engineering is playing a vital role in order to enhance the classification efficiency particularly in signal processing applications. This paper elucidates multi-resolution analysis (MRA) of feature engineering and demonstrates how the distinctive features are being engineered in wavelet domain. The implementation results are placed in the form of feature distribution diagrams and provide clear indications in feature selection for epilepsy seizure detection through classification. General Terms Machine Learning, Signal Processing
Molecular Docking studies and ADMET properties of Compounds from Physalis minima L. Leaves, Root and Fruit.

Physalis minima L . is an important medicinal plant of Indian System of Medicine. The Physalis minima L . plant parts which are; leaves, root and fruit have been found to be useful in the treatment of cancer. The aim of our study was to find drug target for lung adenocarcinoma using these plant parts. Lung cancer is the most common and fatal disease in the world. The major activity of phytochemicals from plant parts is crucial in finding potential new drug molecules for therapeutic use. Docking experiments are carried out between biocompounds from leaves, roots and fruits respectively with the target protein [human Mms2/Ubc13 (4ONM)] using Accelry’s Discovery Studio 4.0. The result consists of one compound from each plant part which is considered as the lead due to its desirable interaction with the target protein.
Serum uric acid levels in patients of acute myocardial infarction

Background: Following Myocardial Infarction some proteins and enzymes, CPK-MB/ Troponin-I, T, are released into the blood from the necrotic heart muscle. Serum Uric Acid (SUA) may be a risk factor and negative prognostic marker for cardiovascular diseases. Aim of the study was to study serum uric acid levels in patients of acute Myocardial infarction with congestive heart failure, its relation with stages of congestive heart failure as per Killip classification and the role of serum uric acid levels as a marker of mortality. Methods: The case control study was conducted on 120 patients divided into two groups. Group A included 60 patients of acute Myocardial infarction. Group A was further divided into two categories. One includes 30 patients of with congestive heart failure and another includes 30 patients without congestive heart failure. Group B consists of 60 control patients. Serum uric acid levels were measured in Group A on 1 st , 3 rd and 7 th day of hospital admission and in Group B on 1 st day. Results: The study showed females have higher degree of hyperuricemia than males. SUA was significantly higher in patients of acute myocardial infarction than control group patients. SUA were also higher in patients with history of IHD, in patients with BNP >100 and it correlates with Killip class and mortality rates. Patients of acute myocardial infarction with diabetes mellitus had higher degree of hyperuricemia than nondiabetic and control group. No significant difference in SUA levels were observed with regard to age, alcohol intake, lipid profile, ejection fraction and hypertension. Conclusions: In acute myocardial infarction, patients with hyperuricemia had higher mortality and may be considered as poor prognostic biomarker.
Frequent Pattern Mining Algorithm on MapReduce Model: A Review

- Frequent Itemset Mining (FIM) is one of the most well-known method to use in extract knowledge from data. FIM methods becomes more problematic when it is applied to huge amount of dataset like Big Data. There are many algorithms available for Frequent Pattern Mining. Existing algorithms has many problem when mining huge amount of datasets such as expensive because of frequently I/O disk scans, huge calculation on candidate generation and it does not support large amount of data. To overcome these problem or for scalable implementation of algorithm. MapReduce programming model is used, which is available for huge amount of data.Hadoop provide an open source platform for implementation of MapReduce.In this paper, we explore some current frequent itemset mining algorithm on MapReduce model and study their challenges and limitations.
ENDOCRINOLOGICAL ASPECTS OF CARDIOVASCULAR DISORDERS

Normal endocrine function is essential for cardiovascular health. Disorders of the endocrine system, consisting of hormone hyperfunction and hypofunction, have multiple effects on the cardiovascular system. The syndromes of insulin resistance actually make up a broad clinical spectrum, which includes obesity, glucose intolerance, diabetes and the metabolic syndrome, as well as an extreme insulin-resistant state. Many of these disorders are associated with various endocrine, metabolic and genetic conditions. These syndromes may also be associated with immunological diseases and may exhibit distinct phenotypic characteristics. The metabolic syndrome, a state of insulin-resistance that is also known as either syndrome X or the dysmetabolic syndrome has drawn the greatest attention because of its public health importance. In clinical practice, no single laboratory test is used to diagnose insulin resistance syndrome. Diagnosis is based on clinical findings corroborated with laboratory tests. Individual patients are screened based on the presence of comorbid conditions. Treatment involves pharmacologic therapy to reduce insulin resistance, along with surgical management of underlying causes if appropriate. Comorbid conditions should be evaluated and addressed; this is generally feasible on an outpatient basis, though some patients will require admission. The metabolic syndrome requires aggressive control of cardiovascular and metabolic risk factors. In this study, the author investigates the impact of endocrine dysfunction on insulin resistance; cardiovascular system and the conditions to be evaluated and discussed.
Trade Openness and Inflation in Nigeria: A Nonlinear ARDL Analysis

This study investigated the relationship between trade openness and inflation in Nigeria between 1980 and 2015. It employed the nonlinear auto-regressive distributed lag (NARDL) modelling approach to co-integration based on the standard theoretical and empirical literature on trade openness-inflation relationship. Our approach allows us to simultaneously test the short- and long-run nonlinearities through positive and negative partial sum decompositions of the predetermined explanatory variables. Empirical evidence revealed that the direction of the relationship between openness and inflation is time specific. While there is a significant positive long-run relationship between inflation and trade openness, the analysis in contrast found a strong and robust negative link between openness and inflation in the short run. In addition, the obtained results indicate that trade openness affect inflation in an asymmetric and nonlinear manner. The results were found to be robust to different specifications. Key words: Inflation, Monetary Policy, Openness, NARDL, Nigeria. JEL Classification: E31, F41.
MOBILITY BASED ALGORITHMS FOR DETECTION OF CLONE NODES IN MOBILE SENSOR NETWORKS

– Sensor networks are composed of a number of sensor nodes with limited resources and used in application such as environment monitoring and object tracking. This allows a situation where the adversary can compromise one sensor node, fabricate many replicas having the same identity (ID) from the captured node, and place these replicas back into strategic positions in the network for further malicious activities. This is called clone node attack. The proposed system focuses on clone node attacks. Several clone node detection schemes have been proposed in the literature to defend against such attacks in static sensor networks. XED and EDD have been implemented for the detection of clone nodes. In XED and EDD, each node not only detects the replicas by its own effort, but also can revoke the replica in a communication-efficient way. XED algorithm have storage overhead of O(n). EDD algorithm’s detection time increases based on the number of neighbor nodes. SED and BRSL algorithms are proposed to overcome the above mentioned drawbacks and to detect malicious anchor nodes. BRSL algorithm effectively distinguish malicious anchor node and increases detection accuracy. This algorithm improves localization accuracy.
The Science of Animal Welfare: Why A Multifaceted Approach Is Necessary

The accurate assessment of meat quality requires the consideration of multiple variables that define the characteristics of the specimen. The definition of meat quality must take into consideration the purpose of the product, the physical properties of the muscle of origin, the stability of the significant quality attributes of the product, and the desires of the product consumer. Considering the numerous attributes that must be included to accurately define meat quality, it is not surprising that a single, allencompassing variable that is capable of quantifying meat quality has not been discovered. The likelihood of such a discovery does not appear to be logically possible.
BC1_OA_Ajit edit

Background: Anaemia is a major health issue that has a wide global impact involving approximately 1/3rd of patients with anaemia. HbA1C levels are not influenced by blood glucose levels alone. Studies suggest that conditions like IDA, haemolytic anaemia, alcohol ingestion, pregnancy, blood loss, and uraemia may alter HbA1C levels independent of glycaemic status. Methods: Totally 200 patients were included in the study. 100 patients were controlled diabetics with iron deficiency anemia and 100 were controlled diabetics without iron deficiency anemia. Comparison of levels of HbA1c was done between the two groups. Results: Correlation between mcv and hba1c is -0.76716. Which is strongly negative correlated. P – Value for the correlation test is 0.000001. Conclusion: Iron deficiency anemia has role in elevating A1C in both the groups. Iron deficiency anemia elevates HbA1c levels in diabetic individuals with controlled plasma glucose levels. The elevation is more in patients having plasma glucose levels between 100 to 126 mg/dl. Hence, before altering the treatment regimen for diabetes, iron deficiency anemia should be treated first.
STATE OF ART FOR ENERGY EFFICIENT RESOURCE ALLOCATION FOR GREEN CLOUD DATACENTERS

: Cloud computing is a new paradigm of computing in which all the resources are available over the network and can easily accessible on pay per use basis. It is an emerging technology as it provides various benefits like reliability, easy to use, cost saving, availability and many more. Data centers are the fundamental component of cloud computing for providing storage, processing and management of data. Data centers are composed of electronic devices, servers, computers, communication devices, switches and therefore it requires huge amount of electricity to power and cool down these devices. Data centers are not only expensive to maintain, but also very unfriendly to the environment and consume huge amount of electrical energy, therefore the rate of carbon emission is increasing day by day. Energy consumption of data centers can be reduced by using different approaches on hardware level as well as software level. The main aim of this paper is to provide the vision and research taxonomy for energy efficient resource allocation. In this paper, the study first outlines the architecture of cloud computing then presents some research issues of infrastructure layer of cloud architecture and related survey for reduction of energy consumption in the infrastructure layer. Furthermore, state of art is summarized as research ideas for energy efficient resource allocation.
Vehicle to Vehicle Communication using ADHOC Wireless Network

The number of road traffic related accident has risen at an exponential level. In 2014 alone, there have been distracted driving, drunken drive, night journey are few reasons to state. The objective of the paper is to design a inter vehicular communication (IVC) such as forward hazard warning and green light optimal through active traffic control. Increasing traffic efficiency with traffic congestion control results in reduced transportation time and thus contributing to improving the environment. Advanced driver assistance road safety by reducing the number of accident as well as reducing the impact in case of non-avoidable accidents. User communication and information services offering comfort and business application to driver and passengers. Keywords— Network, communication, ADHOC wireless
Thermodynamics and Kinetics of Pretilachlor Adsorption on Organobentonites for Controlled Release

Thermodynamics and kinetics of pretilachlor adsorption on organobentonites modified with hexadecyltrimethyl ammonium chloride were investigated to reveal the structural effects of organobentonites on the interaction with pretilachlor and the diffusion of the herbicide and were related to the controlled release from organobentonites. The adsorption of pretilachlor was entropically driven by hydrophobic interaction. The entropy change dropped with increasing surfactant loading from 0.4 to 1.50 times the cation exchange capacity (CEC) of the bentonite used, corresponding to a decrease in the degree of freedom of pretilachlor molecules due to the enhanced order of surfactant in the interlayer. The kinetics of pretilachlor adsorption was well fitted to the pseudo-second-order model and related to the structural features of organobentonites. The enhanced packing density of the surfactant in the interlayer generally resulted in a reduction of the rate constant of the pretilachlor adsorption onto organobentonites. However, the stepwise increase in the basal spacing due to the surfactant arrangement transition, from lateral-monolayer to lateral-bilayer at a loading level of more than 0.8 × CEC, benefited the diffusion of pretilachlor and diminished the influence of the increase in surfactant packing density. The release of pretilachlor from organobentonites was predominated by Fickian diffusion, which could be understood from the adsorption thermodynamics and kinetics. The time taken for the release of 50% of active ingredient was 16–23 times that for the control formulation and exhibited a linear increase with the relative value of the equilibrium constant to the rate constant of pretilachlor adsorption.
AEROALLERGEN PREVALENCE IN PUNJAB, INDIA

Background: An allergen is a substance capable of triggering a response that starts in the immune system and results in an allergic reaction. Both outdoor and indoor aeroallergens sensitize and exacerbate allergic asthma. Euroline allergy testing is an immunoassay that tests for allergen specific Ig E in patient’s serum sample. Objective: Main objective of the study was to determine the prevalence of various aeroallergens by performing euroline allergy testing on blood samples of patients under study. Methods: It was a cross sectional study performed on 500 patients which were having respiratory symptoms of allergy. Sample of all patients were taken and processed for testing on euroline. Out of these 500 patients, were diagnosed with AR, with BA and having both AR and BA. Patients with immunoassay positive reaction for allergens were calculated along with allergen prevalence. Results: From total 500 patients, 440 patients showed a positive reaction on immunoassay testing which means they were sensitized. The most predominant aeroallergen came out be cockroach followed by house dust mite and Dermatophagoids farina. Majorty of the immunoassay positive patients had both AR and BA being 323 (73.4%). Conclusion: As we observed from the results in the study that maximum patients were sensitized to indoor aeroallergens, most predominant being cockroach and dust mites. This points to need for individuals who might be already sensitized but not yet tested should volunteer for allergy testing in order to control early symptoms for developing AR or BA. *Corresponding Author: Dr. Prashant Jerath
Synopsis is Using Dental Diode Laser in Endodontic

Root canal treatment is currently performed using a combination of hand and rotary instruments to remove the necrotic tissue, clean and disinfect the root canal space and shape the space to receive the obturating material. In this abstract, it is the 1st part, we will review the new clinical concept using diode laser in aiding root canal disinfection and removal of smear layer as a promising tool to increase the success rate of the root canal treatment.
Shelf Life Study of Minimally Processed Carrot through Modified Atmospheric Packaging

Owing to the convenience of fresh cut fruits and vegetable, the demand for ready to eat fresh cut fruits and vegetable has grown exponential increase in the market. However fresh cut produce cannot be kept for longer period due to serve stress exerted on the cut surface resulting in faster deterioration. In order to meet the rising demand of the consumers, various techniques have been developed among which modified atmospheric packaging along with low temperature storage are being increasingly employed to extend the shelf life of the produce and also to be maintain the quality. In the present study effort were undertaken to prepare minimally processed sliced carrot and stored those minimally processed carrot slices under different perforated and non-perforated packaging material of polypropylene (PP) and low density polyethylene (LDPE) at both ambient and low temperature (4C) storage. The carrot slices thus stored was analysed for its physico-chemical parameters after every 7 days of interval till 35 days of storage period. The value obtained were statistical analysed using ANOVA at probability level of (P≥0.05) to draw any significance difference among various type of treatment combination. Result shows that minimally processed carrot can be kept satisfactorily for 14 days in case of ambient temperature storage and up to 35 days in case of storage at low temperature (4C) in both the perforated and non-perforated packaging material of LDPE and PP. increase in weight loss, reducing sugar with considerable decrease in TSS, pigment content and sugar content were observed in all stored packs more under ambient condition as compared to low temperature storage. Among the packaging material, non perforated packaging material of LDPE and serve best regarding the reduction of weight loss, pigment retention and sugar retention but while considering the TSS, reducing sugar and L* value the perforated packaging material of PP at low temperature storage serve the best packaging material.
Image Processing Approach to Identify And Recognize Traffic Symbols for color Images Using Fuzzy Integral

: The number of vehicles is rapidly increasing. In parallel, the number of ways and tra ﬃ c signs have increased. As a result of increased tra ﬃ c signs, the drivers are expected to learn all the tra ﬃ c signs and to pay attention to them while driving. A system that can automatically recognize the tra ﬃ c signs has been need to reduce tra ﬃ c accidents and to drive more freely. Tra ﬃ c sign recognition system meet this need. This study includes tra ﬃ c sign detection and recognition application. In this study, some image processing techniques are used to detect tra ﬃ c signs and Fuzzy Integral is used to recognize tra ﬃ csigns. Both more accuracy rate results and low computational cost are obtained in terms of recognition stage by using positive aspects of algorithms taken as input parameters with Fuzzy Integral in the tra ﬃ c sign recognition system. Experimental results show that proposed method gives high accurate results in a reasonable time.
OXO Market Supply and Demand Forecast & Investment Economic Analysis

This paper analyzes the actuality of the supply and demand of OXO international market and forecasts the supply and demand of OXO in future world; analyzes the actuality of the supply and consumption of domestic OXO and forecasts the demand in future domestic market while combining current OXO devices which are being built and proposed through various forecast methods; estimates the economic benefit of OXO device through quantitative analysis and also analyzes the key factors that influence its economy; aiming at current investment fever to domestic OXO development. In conclusion, we state that the supply and demand of world OXO in next 5~10 years will further focus on Asia and it is the peak time to invest and construct OXO devices in China in the past 3 and next 5 years with large increase of production capacity in short term. The market demand in China will change from “supply falls short of demand” now to “both supply and demand are basically balanced” in about 2015, so the high profits during 2007~2008 are hard to reappear in short term, but there is still certain feasibility for investing OXO devices economically. Key wordss—n-Butyl Alcohol, 2-Ethylhexyl Alcohol, market, Investment,Economic Analysis
Comparative Study of RM and EDF Scheduling Algorithm in Real Time Multiprocessor Environment

: This paper discusses an analysis between scheduling algorithms in real-time multiprocessor environment. Many studies are already present regarding real-time scheduling algorithms. These constitute observations of real-time scheduling algorithms from the viewpoint of different traits particular to the system characteristics. In this paper algorithms especially EDF (Earliest deadline First) and RM (rate-monotonic scheduling) are studied. There are numerous misguided judgments exist about the properties of these two scheduling algorithm. This paper looks at RM against EDF under a few perspectives, utilizing existing hypothetical results or straightforward counterexamples to demonstrate that numerous regular convictions are either false or just limited to particular circumstances. Also, the parameters that can be used to evaluate algorithms also are defined. The paper is concluded by way of discussing outcomes of the study and futuristic research inside the subject of RM and EDF in real-time multiprocessor environment.