Miracle-dz/UniFAR-FTUs huggingface dataset:
Review on Microparticulate Drug Delivery System

The controlled release of drugs in slow and sustained manner is one of the major challenges in drug delivery system. Targeting of drug to the particular site is an important aspect of drug delivery system. Microparticles were initially developed as carrier for vaccines & anticancer drugs. They have now been used to increase the efficiency of drug delivery system & improve release profile & for drug targeting. Microparticles have been proven to be useful in this manner for the delivery of various active pharmaceutical ingredients. The current aim of this review is to study various aspects of the microparticulate drug delivery system including method of formulation, evaluation & characterization.
Detecting Denial-of-Service Attack based on Multivariate Correlation Analysis

— Servers, such as Web servers, database servers, cloud computing servers etc, are now under threads from network attackers. As one of most common and aggressive means, Denial-of-Service (DoS) attacks cause serious impact on these computing systems. In this paper, we present a DoS attack detection system based on Multivariate Correlation Analysis (MCA) for accurate network traffic characterization by extracting the geometrical correlations between network traffic features. Our MCA-based DoS attack detection system exploits the principle of anomaly-based detection in attack recognition. This makes our solution capable of detecting known and unknown DoS attacks effectively by learning the patterns of legitimate network traffic only. Furthermore, a triangle-area-based technique is proposed to enhance and to speed up the process of MCA. The effectiveness of our proposed detection system is evaluated using dataset, and the influences of both non-normalized data and normalized data on the performance of the proposed detection system are examined. The results show that our system surpasses two other previously developed state-of-the-art approaches in terms of detection accuracy.
Biometric Security Enhancement using GLCM Method: A Review

— Iris texture pattern can be used for biometric verification and identification of a person from a large dataset. However, such a biometric recognition system can only recognize those people who have already been enrolled in the system. Iris recognition systems have been an active area of research since long and iris recognition applications are increasing day by day. The performance of biometric system based on iris recognition depends on the selection of iris features. In this paper Gray Level Co-occurrence Matrix(GLCM) method is used for extracting the texture. The GLCM is a statistical method that includes local features like Contrast, Correlation, Energy, Homogeneity, Entropy. This approach is invariant to iris rotation.
208-212-Nandha Kumar

Down syndrome (DS) is associated with oxidative str ess which occurs due to over expression of Superoxide dismutase-1 (SOD-1) gene, located in chromosome 21q 22.1. This results in increased free radical generation causing damage to cellular components. The aim of the study is to quantify the Cytokinesis block Micronucleus score (CBMN) and Total antioxidant status (TAS) in DS and establish a relationshi p between both. Our results suggest that CBMN frequency (3Vs1) and TAS levels (357.97 Vs 516 .3 uM/L) were significantly increased and decreased respectively compared to matc hed controls. A significant negative correlation was observed between the CBMN score and TAS level. Hence, we conclude that CBMN score can be considered as a biomarker of geno toxicity in cases with trisomy 21.
Concealment of Data Storage in Cloud Using Watermarking

The Cloud computing is a latest technology which provides various services through internet. The Cloud server allows user to store their data on a cloud without worrying about correctness & integrity of data. Cloud data storage has many advantages over local data storage. User can upload their data on cloud and can access those data anytime anywhere without any additional burden. The User doesn’t have to worry about storage and maintenance of cloud data. But as data is stored at the remote place how users will get the confirmation about stored data. Hence Cloud data storage should have some mechanism which will specify storage correctness and integrity of data stored on a cloud. The major problem of cloud data storage is security. Many researchers have proposed their work or new algorithms to achieve security or to resolve this security problem. In this paper, we propose a new innovative idea for Concealment of data storage using watermarking with public auditing in cloud computing. It supports data dynamics where the user can perform various operations on data like insert, update and delete as well as batch auditing where multiple user requests for storage correctness will be handled simultaneously which reduce communication and computing cost. Keywords—Public Auditing, Watermarking, TPA,
Glypican-3 versus alpha-fetoprotein as a biomarker for hepatocellular carcinoma: a diagnostic meta-analysis

Objective: To assess the diagnostic accuracy of serum GPC3 versus alpha-fetoprotein (AFP) for HCC by using the method of system review. Methods: PubMed and EMBASE were searched from its inception to 20, April 2014 for studies that compared diagnostic accuracy of serum GPC3 with AFP for HCC. Sensitivity, specificity and other measures were pooled using random-effects models. Summary receiver operating characteristic curve analysis was used to summarize the overall test performance. Results: Fourteen studies were included in this meta-analysis. Summary estimates for serum GPC3 and AFP in diagnosing HCC were as follows: sensitivity, 69% (95% confidence interval (CI), 56-80%) vs. 60% (95% CI, 5069%); specificity, 91% (95% CI, 76-97%) vs. 92% (95% CI, 84-98%); diagnostic odds ratio (DOR), 22 (95% CI, 6-83) vs. 18 (95% CI, 8-41); and area under sROC, 0.85 (95% CI, 0.81-0.88) vs. 0.80 (95% CI, 0.76-0.83). The pooled sensitivity and specificity for (GPC3+AFP) and AFP were: sensitivity 80% (95% CI, 75-85%) vs. 64% (95% CI, 53-73%) and specificity 86% (95% CI, 74-93%) vs. 96% (95% CI, 86-99%). A significant heterogeneity was found among the ten studies, and meta-regression and subgroup meta-analysis suggested that race and assay type were probably responsible for the heterogeneity. Conclusions: Serum GPC3 may be a promising diagnostic marker of HCC and it was helpful for early detection of primary hepatocellular carcinoma when combined with AFP. More studies for specific race of patients, and using certain methods for detecting GPC3 are required to further confirm the diagnostic value of GPC3 for HCC.
Should a paediatrician perform abdominal ultrasonography in children of parents with polycystic kidney disease

Krzysztof Wróblewski1, Katarzyna Młudzik2, Susan Afshari3, Piotr Grzelak4, Marcin Tkaczyk3,5 © Pediatr Med Rodz 2016, 12 (3), p. 303–309 © Medical Communications Sp. z o.o. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (CC BY-NC-ND). Reproduction is permitted for personal, educational, non-commercial use, provided that the original article is in whole, unmodified, and properly cited. DOI: 10.15557/PiMR.2016. 0031 Received: 04.03. 2016 Accepted: 17.05. 2016 Published: 30.09. 2016 Krzysztof Wróblewski, Katarzyna Młudzik, Susan Afshari, Piotr Grzelak, Marcin Tkaczyk
A STUDY OF DEMOGRAPHIC FACTORS AFFECTING ADOLESCENT STUDENTS IN THEIR COPING STRATEGIES

In today’s scenario coping is the most important life skill required in everyone’s life. Researchers have found out that modern day teenagers are exposed to more difficult situations on a daily basis than any other generation before them. Therefore the present study focuses on the relation between demographic factors and the coping strategies of the students of the age group 12–19 years. The primary data has been collected from 1016 students from various schools and colleges in Maharashtra in India. The data was analysed with the help of ANOVA and Correlation. The results reveal that there is a relation between gender, age, Boards, parents’ educational profile and coping strategies but not significant with the annual family income.
Modeling of Circular Photonic Crystal Fiber Structure for High Non-linearity

This paper compares the PCF characteristics such as chromatic dispersion, effective area, confinement loss and nonlinearity for circular PCF having 5 rings of air holes and 4 rings of air holes. Proposed structures are simulated by using Comsol multiphysics. Method used for simulation is finite element method (FEM) . For both the cases of circular structures air filling fraction i.e. d/Λ=0.5. From the numerically simulated results it’s shown that circular PCF with 5 rings of air holes provides large negative dispersion, which is of the value of 150ps/(km.nm), hence such PCF have high potential to be used as a dispersion compensating fiber in optical communication systems. Circular PCF with 5 rings of air holes offers low confinement loss of the order of 10 dB/m. Circular PCF with 5 rings of air holes offers low effective area. In the case of nonlinearity circular PCF with 5 rings of air holes has a value of 38.38 Wkm and that for circular PCF with 4 rings of air holes has 14.47 Wkm 1 at 1550 nm. From the above optical properties for both the structures, it is seen that structure with 5 rings of air holes is suitable for majority of application such as dispersion compensation fiber and supercontinuum generation. Nonlinearity can be increased by increasing the number of rings. By increasing nonlinearity value it became suitable for supercontinuum generation.
DOES LABOR COST MATTERS FOR AIRLINE INDUSTRY?

The whole world has entered a new stage, and air travel will have the ability to deliver anyone to any corner of the globe in a matter of hours. The objective of this paper is to examine the technical efficiency level of United States airlines and how internal factors affect technical efficiency of US airlines. The paper used the Cobb Douglas production function to estimate the efficiency level of United States airline industry reveals that the average technical efficiency of US airlines over the period from 2005 to 2016 is 54.3% and technical efficiency score steadily decreased from 56.9% in 2005 to 46.4% in 2016. Labour cost has a significant impact over the airline performance due to the relationship between reductions in labour cost with increase in level of productivity. Hence, it brings effect to the overall technical efficiency of the Unite States airlines.
Brain Tumour Classification Using Radial Bias is Function and Identifying the Stage of the Tumour by Segmentation Methods

: The Neural network is used with an extension of various image classification based on training and testing networks. In this method efficiently detect brain tumour cell. Neural network with Radial Basis Function will be applied to implement tumour cells segmentation and classification. Decision should be made to classify the input image as normal or abnormal cells. Wavelet transform thresholding is used to perform denoising. This can be performed in two stages: Gray-Level Co occurrence Matrix and the classification using Neural Network based function. The classified image is segmented with the ROI segmentation method and the stage of the tumour is identified
Randomized Expectancy-Enhanced Placebo-Controlled Trial of the Impact of Quantum BioEnergetics and Mental Boundaries on Affect

The present study aimed to extend the fi ndings of a previous, randomized placebo-controlled pilot study (F. E. Permezel and A. J. Rock, Australian Journal of Parapsychology 9(1):71–95, 2009) which examined the effect of a subtle energy technique, Quantum BioEnergetics (QBE), and a personality trait, Mental Boundaries, on Positive and Negative Affect. In the present study, 94 participants were administered the Boundary Questionnaire Short Form to quantify Mental Boundaries and the Phenomenology of Consciousness Inventory (PCI) to quantify pre-test Positive and Negative Affect. Participants were randomly assigned to one of three conditions: QBE, Placebo, or Control. Participants’ affective responses to the conditions were retrospectively assessed using the PCI. No signifi cant multivariate effect was found for condition or Mental Boundaries with regard to post-test scores on Positive and Negative Affect, after controlling for pre-test scores. Furthermore, a signifi cant multivariate interaction between the aforementioned factors was not found. The present study’s non-signifi cant fi ndings may be due to its more stringent methodological controls or diminished ecological validity relative to Permezel and Rock (2009).
Development Of A VCM Based Harmonic Controlled Dg-Grid Interfacing Converters

Abstract— Now a days the non-linear loads and power electronic based DG systems involvement is increased and these are may introduce power quality issues to the distribution power systems. If we use DG grid interfacing converters properly and regularly then they will improve distribution system efficiency and power quality. This paper mainly discuses on the distribution system harmonic control through DG grid interfacing converters. There is two DG systems in general, one is current controlled DG and another one is voltage controlled DG. There is major previous works on harmonic compensation are done in current controlled DG . But hear a new harmonic control scheme using voltage controlled method is developed in this paper. This method is having more flexibility and similar compensation performance when compare to current controlled DG . This voltage controlled method provides direct voltage and frequency support to grid because of avoiding harmonic current tracking loop. This proposed systems simulated by using MATLAB/SIMULINK.
Cultivation, Quantification and Pharmacognostic Study of methanolic extract of Thalassiosira weissflogii

Thalassiosira weissflogii is a unicellular microalgae which was found under marine environment. It was cultivated using Guuillard and Ryther F/2 medium in transparent plastic bottle under continuous light at 20oC for 5 days. It is then harvested and dried under shade. The dried powdered was then mixed with methanol and used for further analysis. Preliminary phytochemical constituents, primary and secondary metabolites were assessed for methanolic extract of Thalassiosira weissflogii. Pharmacognostic and physiochemical parameters were also detected to confirm the quality of the drug. Phytochemical compound such as alkaloids, flavonoids, tannins were present but glycosides and saponins were absent. They also yield appreciable amount of primary and secondary metabolites. Based on the pharmacognosy studies, it was found that the drug was pure which can be stored to do further studies. Thus, the methanolic extract of Thalassiosira weissflogii can be used for both in vivo and in vitro studies.
Numerical Analysis of the Thermal and Aerodynamic Influence in an Automotive Exhaust System Using Computational Fluid Dynamics

This study aims to analyze the thermal and fluid dynamics profile of an automotive engine’s exhaust system in order to identify points to be improved in the project. The exhaust system is one of the automotive components working under the most severe conditions of thermal transfer, as the passage of combustion gases from the engine operation takes place in this system. The exhaust system must be designed for better performance from the knowledge of the heat transfer inside it and with a view to identify critical points in terms of corrosion, thermal stress, fatigue, among others. Therefore, this work has carried out a computer simulation by the finite volume method within the system of heat exchange and mass flow from the fuel gas in an automotive exhaust system of a 2004 Volkswagen Gol GT vehicle, with the engine speed at 1000rpm.
THE RELATIONSHIP BETWEEN NATIONAL INNOVATIVE CAPABILITY AND PERFORMANCE IN EUROPE

Purpose: The aim of this study is to empirically investigate the relationships between capacity and performance indicators of National Innovation Systems in European countries over the period from 2000 to 2014. Methodology: As an analytical tool in order to examine the dynamics of innovation process at macro level, we used National ınnovation System approach which has had a large scope in innovation literature over the last decades. In this analytical framework, we employed Canonical Correlation Method to empirically examine the relationships between two variable set of capacity and performance components. National innovation capacity is represented by the dimensions of Research and Development activities, Human Capital and Information and Communication Technology (ICT) infrastructure. Dimensions of invention and innovation are chosen the proxies for performance components of NIS. Thus, this study applies an empirical method to get different capability dimensions of system together in order to determine their effectiveness on innovation performance. Findings: Results of the empirical study reveal that the most significant contribution to innovation performance comes from Human Capital while dimensions of ICT infrastructure and Research and Development take second and third place, respectively. In addition, it seems that educational attainment and ICT-using levels are better indicators for determining the impacts of Human Capital and ICT infrastructure on innovation performance rather than the levels of education spending and ICT investment. Conclusion: As generally argued, increasing of R&D intensity at country level is not only sufficient condition for improving innovation system in Europe. Accordingly, innovation policies like European Union focusing on an R&D–to-GDP ratio 3% is not enough without providing the requirements for an appropriate human capital development in national innovation system.
Elm Based Detection of Micro-Calcification in Mammogram using Glcm Features

 Abstract : The breast is made up of many different types of tissue and cells. When the cells in the breast grow or change abnormally and it is called breast cancer. Most breast cancers occur in women who are over the age of fifty. Calcification is the main causes of breast cancer. The deposit of calcium in breast tissue is known as calcification. And it is two types, Micro-calcification and macro-calcification. Large calcium deposits represent the macro-calcification which may relate to non-cancerous. The tiny white dots on mammogram represent the micro-calcification which is the earliest stage of breast cancer and the calcification can be found in different shapes. Mammography is the one of the method to determine the breast cancer. In this paper we are determining the micro-calcification in mammogram using different steps which include preprocessing, enhancement, feature extraction, feature selection and the classification.
A Blind Image Quality Assessment With Globally and Locally Consilient Visual Quality Perception

: Most of the existing Blind image quality assessment techniques can hardly characterize visual quality perception for various distortion types. The different blind image quality assessment algorithms cannot correlate with full-reference image quality assessment techniques. So, in this paper we first perform image quality assessment for the full-reference images on different distortion types and then the quality of the distorted image is found by using the Blind image quality assessment technique. The performance of the blind image quality assessment is compared with the performance of the full-reference image quality assessment techniques. This paper focuses on the measurement of quality for the distorted images which are used in the measurement of performance of the full-reference images. The experimental results show that algorithm exhibits high correlation with the novel full-reference image quality metrics when compared with the other Blind image quality metrics.
Intelligent Password File Protection By Dynamic Honeywords

-System security admin and black hat attackers are the evergreen rivals from long time by the introduction on computing and security. There are several methodologies and algorithms to protect a system and also there are several tools and back-door process to break the security credentials of a PC or a Server. Brute force attacking and DDOS tools has the capability to break the passwords stored in the password hash. The tools like ophcrack and rainbowcrack has the ability to effectively crack the password hash from the password database. Most of the non computer students are using the same password for all of their online accounts. If any one of the weakly secured password database is attacked by any hackers then he/she can also try that account details to access your other domain accounts. To prevent this process this project work proposes a novel method named PasswordProxy. PasswordProxy is the fake authentication server implemented in low cost to spoof the attackers. Unlike existing system the proposed methodology doesn’t allow the hacker in the real domain rather in fake PasswordProxy. The system will be implemented and tested to ensure security, preserve domain privacy policy, provides low cost implementation with less effort.
Spectrophotometric methods for quantitative estimation of sertraline hydrochloride from tablet formulation

Two simple and sensitive visible spectrophotometric methods have been developed for the quantitative estimation of Sertraline Hydrochloride from its tablet formulation. The developed methods are based on formation of chloroform extractable colored complex of drug with alizarin red and tropaeolin ooo. The chloroform extracted complex of drug with alizarin red showed absorbance maxima at 425.0 nm and linearity was observed in the concentration range of 2090 μg/ml (method-I), with tropaeolin ooo showed absorbance maxima at 485.0 nm and linearity was observed in the concentration range of 3-24 μg/ml (method-II). Results of analysis for both the developed methods were validated statistically and by recovery studies.
Joint Weighted Localization Management for Target Tracking in Mobile Sensor Networks

- This work studies the problem of tracking signal-emitting mobile targets using navigated mobile sensors based on signal reception. A common technical difficulty in target tracking in a wireless sensor network is that individual homogeneous sensors only measure their distances to the target whereas the state of the target composes of its position and velocity in the Cartesian coordinates. That is, the sensor measurements are nonlinear in the target state.Extended kalman filtering is a commonly used method to deal with the nonlinearity, but this often leads to unsatisfactory or even unstable tracking performances. In this paper, we present a new target tracking approach which avoids the instability problem. We first propose an improved noise model which incorporates both additive noises and multiplicative noises in distance sensing. We propose a received signal strength indicators(RSSI) with correlated in time measurement noiseswhich can be efficiently solved via semidefinite programming (SDP) relaxation, and apply a guidance law for mobile sensor navigation. We estimate the location of the mobile sensor and target jointly to improve the tracking accuracy. Our results demonstrate that the proposed algorithm provides good tracking performance and can quickly direct the mobile sensor to follow the mobile target and also provide better accuracy.