Miracle-dz/UniFAR-FTUs huggingface dataset:
Non Linear Finite Element Analysis of SFRSCC and SFRNCC One Way Simply Supported Slabs In Flexure using ANSYS

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract – This paper presents a nonlinear finite element modeling and analysis of Steel Fibre Reinforced Self Compacting Concrete (SFRSCC) and Steel Fibre reinforced Normal Cement Concrete(SFRNCC)one way simply supported slabs subjected to four point bending load. In this study, the slabs were modeled using ANSYS V.14 nonlinear finite element software. The percentage of steel fibre was fixed at 1.0%. The concrete is modeled using ‘SOLID65’eight-node brick element, which is capable of simulating the cracking and crushing behaviour of brittle materials. The tension reinforcement has been modeled discretely using ‘LINK180’ – 3D spar element. A total ten slabs are analysed, out of which five were SFRSCC and other five were SFRNCC slabs and grade of concrete used was M70 for all the slabs. In these slabs the tensile reinforcement is varied and fibre volume percentages will remain constant for all slabs (i.e, Vf = 1.0%). The slab had an overall dimension of 1100×500×65 mm. The main reinforcement is of 8 mm and the distribution steel was of 6 mm diameter. The fibre contribution to the multiaxial concrete behaviour is considered by changing accordingly the default concrete parameters from ANSYS. The slabs are studied for the ultimate load, load-deflection and load-strain behaviour for each case and compared with the available experimental values. The above study indicates that finite element modeling is properly able to simulate the behaviour and strength of SFRC slabs under flexure. The Comparison study showed that the FEA predicts a 10% variation in the deflection studies, the ratio of FE model deflection to Experimental deflection being 1.11 and also the Ultimate load predicted by FE model is lessar than Experimental by a factor of 0.98 and a variation of 11%
Evaluation of three DNA extraction methods of Mycobacterium tuberculosisDNA from Processed Sputum for testing by Three Real Systems

Pulmonary tuberculosis is a a highly contagious bacterial infection and major public health problem all over the world. The definitive diagnosis of Mycobacterium tuberculosis based on microbiology laboratory tests that are sensitive, specific, reproducible, and robust because of strong diagnosis evidence 1,2. Microscopic examination with either Ziehl-Neelsen (ZN)or fluorochrome-stained smears is insensitive, detecting acid-fast bacilli only when there are 104 mycobacteria per ml.
Management Of A Patient With Bronchiectasis Using Pulmonary Rehabilitation And Balance Training: A Case Report

of this manuscript and Barbara Jean Brown, PT, DPT, GCS for supervision and guidance during data collection and patient treatment. The author also acknowledges the patient for her participation in this case report. Acknowledgements Management of a Patient with Bronchiectasis Using Pulmonary Rehabilitation and Balance Training: A Case Report Megan Witherow Quarles, BS University of New England, Portland, Maine Department of Physical Therapy
Microarray probe set: Biology, bioinformatics and biophysics

Aim: In spite of improvements in microarray platforms, there are some uncertainties, biases and errors in data outcomes and ultimate data interpretations. One of the most considerable problems in microarray methodologies is the choice of probe sets. For selecting an appropriate probe set, designing and calibrating the related probes, there is an unavoidable need to microarray methodologies, bioinformatics, biophysics and their relationship. Therefore, cooperation and collaboration between biologists, bioinformaticians and biophysicists is a must. For this reason, the aim of this literature review is to show the multi-dimensional effects of probes in final analytical outcomes throughout array designing, probe sets, probe calibration, noise calculation, and hybridization. Methods: A good choice of probe set in association with accurate probe calibration and minimum noise production is needed as an acceptable and prompt methodology to decrease the erroneous of data analysis and biased interpretation. Results: The use of interdisciplinary sciences including bioinformatics, biophysics, and biology for designing an accurate probe set in microarray technology ensures the quality of data analysis and unbiased interpretation. Hence, a proper methodology for choosing an appropriate probe set improves the reliability of the results obtained via the microarray technique. Conclusion: The application of suitable probe sets results in precise and accurate protocols. The occurrence of this progression is related to an intense collaboration between biophysicists, bioinformaticians and biologists.
Secure Key Exchange over Internet

-Due to advances in technology and communication, it requires more effort to ensure security. It is essential that every organization has the right level of security. Authentication in security had emerged to be an essential factor in the key establishment over internet. The DIKE (Deniable Internet Key Exchange) protocols add novelty and new value to the IKE standard. In recent communication systems, as there is more and more use of internet, the security services have become essential. Key-exchange in Diffie–Hellman key-exchange (DHKE) is among the core cryptographic mechanisms to ensure network security.
Modeling of Direct Torque Control (DTC) of BLDC Motor Drive

Multilevel The position sensor-less direct torque and indirect flux control of brushless dc (BLDC) motor with non-sinusoidal back electromotive force (EMF) has been extensively investigated. In the literature, several methods have been proposed for BLDC motor drives to obtain optimum current and torque control with minimum torque pulsations. Most methods are complicated and do not consider the stator flux linkage control, therefore, possible high-speed operations are not feasible. In this study, a novel and simple approach to achieve a low-frequency torque ripple-free direct torque control (DTC) with maximum efficiency based on dq reference frame is presented. The proposed sensorless method closely resembles the conventional DTC scheme used for sinusoidal ac motors such that it controls the torque directly and stator flux amplitude indirectly using d-axis current. This method does not require pulse width modulation and proportional plus integral regulators and also permits the regulation of varying signals. Furthermore, to eliminate the low-frequency torque oscillations, two actual and easily available line-to-line back EMF constants (kba and kca) according to electrical rotor position are obtained offline and converted to the dq frame equivalents using the new line-to-line park’s transformation. Then, they are set up in the look-up table for torque estimation. The validity of the proposed sensor-less three-phase conduction DTC of BLDC motor drive scheme are verified through simulations results.
Study of serum uric acid in liver cirrhosis and its correlation with Child Turcotte Pugh, MELD and UKELD score

Background: Liver cirrhosis is one of the most common causes of morbidity and mortality. The availability of liver transplant has stressed on the need for accurate prognostication. Various scoring systems have been developed for the same and studies have been conducted to find the correlation of various biochemical parameters with these. Methods: This is a cross sectional study conducted on 100 patients with stigmata of liver cell failure on clinical examination and substantiated by imaging. Serum Uric acid and other biochemical parameters were determined. Child Turcotte Pugh Score, Model for End Stage Liver Disease (MELD) score, United Kingdom Model for End Stage Liver Disease (UKELD) score was calculated and the correlation obtained. Results: The study showed significant, positive correlation between uric acid level and CTP, MELD and UKELD score. The study also showed the positive correlation of serum uric acid with various biochemical parameters such as total bilirubin, Prothrombin time/ International Normalized Ratio (PT/INR) and serum creatinine and negative correlation with serum albumin, with a significant p value. The mean serum uric acid was found to be 4.79(4.79± 2.0) Conclusions: The study showed a correlation between serum uric acid and the various available scoring systems such as CTP score, MELD and UKELD score. Hence serum uric acid can be used as an alternative prognostic parameter in predicting the severity and prognosis of cirrhosis of liver.
Lung Cancer Detection from Images of Computer Tomography Scan

: Computer–aided detection (CAD) can help the radiologists to detect pulmonary nodules at an early stage. In this paper we propose a CAD system to detect the pulmonary nodules from the segmented lungs from Computer Tomography images and classify the abnormalities. First the lung is segmented from the CT images using Watershed Transform then the nodules are extracted. Here for detection of lung nodules some features is considered such as 1) Shape features: Shape based feature descriptor are used. The shape of the nodules is considered for detection of nodules. 2) Texture features: 2D Haar Wavelet Transformation is used which is used to obtain the texture information in different levels of decomposition. 3) Intensity features: The intensity of the nodules is taken as a feature which helps us in putting a threshold which is taken on trial and error manner which help us in detecting the nodules. 4) Context features: Specifies the location of nodule. Classification is done using three different classifiers like SVM, ANN & KNN to increase the efficiency and decrease the error rate. Finally a comparative study is made with respect to error rate, efficiency and training ratio.
Pooled Week 96 efficacy, resistance and safety results from the double-blind, randomised, Phase III trials comparing rilpivirine (RPV, TMC278) versus efavirenz (EFV) in treatment-naïve, HIV-1-infected adults

Lost to follow-up, non-compliance, withdrew consent, ineligible to continue, sponsor's decision • Similar response rates for RPV and EFV were seen at Week 96, based on the ITT snapshot analysis (last viral load value in the Week 96 window (90-103 weeks) 95% adherence. Response rates were high and similar between treatment groups in patients with >95% reported adherence or baseline viral load ≤100K (Figure 4). Suboptimal adherence (≤95%) and baseline viral load >100K were associated with lower responses in both groups.
Development of Anti-Phishing Model for Classification of Phishing E-mail

: Due to colossal financial losses in recent years, phishing has drawn attention of most of the individuals and organizations in the world of internet. Need for protection against phishing activities through fraudulent emails has increased remarkably. In this paper we propose a hybrid model to classify phishing emails using machine learning algorithms with the aspiration of developing an ensemble model for email classification with improved accuracy. We have used the content of emails and extracted 47 features from it. The processed emails are provided as input to various machine learning classifiers. Going through experiments, it is observed and inferred that Bayesian net classification model when ensemble with CART gives highest test accuracy of 99.32%.
Energy Efficient Web Surfing for Smart Phones

— Now-a-days we have observed that a lot of power is wasted during web browsing on mobile phones due to the special characteristics of wireless radio interface. Accordingly, we have identified these characteristics and have also taken into consideration the power consumption issues with the help of two techniques. Firstly, we analyze the energy consumption of the Android browser at popular web sites such as Facebook, Amazon, and many others. Secondly, to measure the energy needed to render individual web elements, such as cascade style sheets (CSS), JavaScript, HTML, images, and plug-in objects and also how to design web pages so as to minimize the energy needed to render the page. After that shows the results in the form graph and table format with related to those web elements. Our approach can reduce the power consumption and reduce loading time while surfing on the Android phone web browser.
Metrics to Determine the Quality and Productivity during Software Development

Quality and productivity are important key factors of software development. From last two decades software product measurement paradigm improves a lot and becomes an emerging field of software engineering. Based on these programming approach, number of measureable suits are proposed in literature such as source code and design. However these are very old and need to be verified and validate. A variety of international standardized bodies such as IEEE and ISO as well as regular researches in the field, proposed a set of factors which influence the software quality and productivity attributes directly or indirectly. They provide a set of measures to evaluate it. The main aim of this paper is to define, analyze the Chidamber and Kamer measure suit with our project and provide new metrics that are beneficial to determine quality and productivity during software development.
LARVICIDAL EFFICACY OF PLANT OILS AGAINST THE FILARIAL VECTOR, CULEX QUINQUEFASCIATUS (L.) (DIPTERA: CULICIDAE)

The bioactivity of ten plant oils, Basil (Ocimum basilicum), Catnip(Nepeta cataria), Clary Sage (Salvia sclarea), Cornmint (Mentha arvensis), Lavender (Lavandula angustifolia), Marjoram (Thymus mastichina), Patchouli (Pogostemon cablin), Rosemary (Rosmarinus officinalis), Spearmint (Mentha spicata), Thyme (Thymus vulgaris), were tested at100,200,300,400, and 500 ppm concentrations against the fourth instar larvae of Culex quinguefasciatus. Larval mortality was observed after 24 hours. The data obtained from the present investigation clearly revealed that the oils have significant influence on the experimental larvae and the results were discussed.
Architecting Service based Sensor Networks for the adept assimilation

— The aim of this paper is to propose an architectural model for assimilating distributed Sensor Networks through cloud paradigm. This strategy can be applied to monitor and control the physical parameters such as Temperature, Pressure and Level. It is proposed to consider the use of service oriented architecture to program and deploy the sensed parameters. The service oriented architecture for sensor network has been implemented in such a way that for every specific requirement of the monitor center, the assimilation agent invoke the services of the sensors through a registry and the specific changes in the sensed parameters are also notified as auditable event using push interaction pattern of SOA. The assimilation agent serves as an adept component by providing authentication services. This SOA is extended to integrate different types of sensor networks trough cloud environment. Hence several sensors can be networked together to monitor different process parameters and they have been assimilated with Internet by registering them as services hence a complete distributed assimilation environment is exploited.
A review: Buccal buccoadhesive drug delivery system

Bioadhesive drug delivery system utilizes the property bioadhesion of certain water soluble polymers which become adhesive on hydration and hence can be used for targeting a drug to a particular region of the body for extended period of time. It has a rich blood supply that drains directly into the jugular vein, thus by passing the liver and sparing the drug from first pass metabolism. Ease of drug delivery even in unconscious patients those who are permitted nothing by mouth. The development of mucoadhesive buccal films has increased dramatically over the past decade because it is a promising delivery alternative to various therapeutic classes including peptides, vaccines and nanoparticles. The “film casting process” involves casting of aqueous solutions and/or organic solvents to yield films suitable for this administration route. Over the last decade, hot-melt extrusion has been explored as an alternative manufacturing process and has yielded promising results. Characterization of critical properties such as the mucoadhesive strength, drug content uniformity, and permeation rate represent the major research areas in the design of buccal films. The objective of this article is to review buccal drug delivery of patches (films) by discussing buccal mucosa and characterization of mucoadhesive buccal patch.
Energy Enhancement in AOMDV

— Mobile computing is evolving rapidly with advances in wireless communications and wireless networking protocols. To facilitate communication, most wireless network devices are portable and battery-powered, and thus operate on an extremely constrained energy budget. However, progress in battery technology shows that only small improvements in battery capacity can be expected in the near future. Furthermore, because recharging or replacing batteries is costly or, under some circumstances, impossible, it is desirable to keep the energy dissipation level of devices low. Energy-efficient design in mobile ad hoc networks (MANETs) is more important and challenging than with other wireless networks.
Review On Nanosponges: A Benefication For Novel Drug Delivery

Effective drug delivery at a targeted site had give n the possibility to perform the precise function t control the release rates and have a better complia nce on the health care system but the chemistry pos sessing complex form had made conditions complicated. But t he invention of nanosponges has given a significant approach toward solving this problem. Nanosponges a r tiny sponges having size of about a virus and ca n be filled with variety of drugs. This sponges can circ ulate around the body until interact with specific target site and stick on surface and start releasing drug in a controlled manner. Some cyclodextrins based nanospo nges proposed nanodelivery system and form porous insolu ble nanoparticle having crystalline and amorphous n ature. Important characteristic of these sponges is their solubility in aqueous form and give a effect to the drugs with poor solubility. This review is focusing on the pre aration methods, applications of nanosponges in th e field of drug delivery.
Travel Recommendation Based On Data From Social Media

— Big data increasingly beneﬁt every analysis and industrial area like health care, ﬁnance service and industrial recommendation. This paper presents a customized travel sequence recommendation from every travelogues and community-contributed photos and additionally the heterogeneous data (e.g., tags, geo-location, and date taken) related to these photos. in contrast to most existing travel recommendation approaches, our approach isn't only customised to user’s travel interest but to boot prepared to recommend a travel sequence rather than individual Points of Interest (POIs). Topical package house together with representative tags, the distributions of value, visiting time and visiting season of every topic, is well-mined to bridge the vocabulary gap between user travel preference and travel routes. we tend to profit of the complementary of a pair of kinds of social media: attraction and community-contributed photos. we tend to map every user’s and routes’ matter descriptions to the topical package house to induce user topical package model and route topical package model (i.e., topical interest, cost, time and season). To suggest customised dish sequence, ﬁrst, notable routes are stratified consistent with the similarity between user package and route package. Then prime stratified routes are any optimized by social similar users’ travel records. Representative pictures with viewpoint and seasonal diversity of POIs are shown to provide a extra comprehensive impression. we tend to value our recommendation system on a set of seven million Flickr pictures uploaded by 7,387 users and twenty four,008 travelogues covering 864 travel POIs in nine notable cities, and show its effectiveness. we tend to additionally contribute a brand
A MATLAB GUI: DESIGNED TO PERFORM BASIC IMAGE PROCESSING OPERATIONS

Image processing is the manipulation and analysis of information contained in images. Image processing techniques help to improve the image characteristics. The basic operation that is usually performed on an image are edge detection, histogram, region of interest, bit planes, morphological operation, segmentation. Digital image processing is rapidly growing technologies and finds importance in various fields. A graphical user interface(GUI) is a set of techniques and mechanisms used to create interactive communication between a program and a user.GUI eliminates the need to learn a language or type commands to run the application ,by providing point-and-click control of software applications.
Determination of Flow Properties of Refined Cotton Seed Oil Biodiesel

In this study, the basic flow properties of cotton seed methyl ester like density, viscosity, cloud and pour points was carried out to determine the changes when fatty acid methyl ester was blended with diesel fuel. Empirical and generalized equations, validated by using measured values, to predict the density, viscosity, cloud and pour points of the blends. In order to predict these properties, mixing rule was evaluated as a function of the volume fraction of biodiesel in the blend. The effect of biodiesel fraction on each of these properties and to the effects of temperature on the density and viscosity were investigated. The blends (B10 –B100) were prepared on a volume basis. Generalized equations and Arrhenius equation for predicting the density and viscosity of the blends were used. The low values of the absolute average deviations (AAD) and the maximum absolute deviations (MAD) obtained confirmed the solubility of the mixing rule used. For all the blends, it was observed that the results obtained from the measured and estimated values of density and viscosities were in good agreement. From the results, the density and viscosities of the blends decreased with increase in temperature while these properties increased with increase in biodiesel content in the fuel blend. The cloud point and pour point of the blend increased as the biodiesel concentration increased. The values obtained from empirical equations for predicting the relationship between cloud points, pour point and biodiesel content in the blends were in good agreement with the experimental value.
A Multimodal Approach for Face and Ear Biometric System

Multi modal biometric system is one of the major areas of study identified with large applications in recognition system. Single modal biometric systems have to challenge with a variety of problems such as noisy data, Intra-class variations, non-universality, spoof attacks, and unacceptable error rates. Some of these limitations can be solved with multi modal biometric systems. The major purpose of the study is to review and analyze the prime works in multimodal biometric system and its efficiency in recognition rate. The proposed framework of the multimodal biometric system using face and ear is given. This paper also discusses the levels of fusion that are possible and understand the types of challenges focused by prior research work in this area.