Miracle-dz/UniFAR-FTUs huggingface dataset:
FORMULATION DESIGN AND EVALUATION OF A NOVEL VAGINAL DELIVERY SYSTEM OF CLOTRIMAZOLE

The present investigation was to prepare and evaluate bioadhesive vaginal gel containing clotrimazole loaded microspheres a novel delivery system for vaginal use. Bioadhesive gel was prepared by incorporating drug loaded microspheres using bioadhesive polymer carbopol 934. Microspheres were prepared by spray drying technique using Eudragit RS-100 and RL-100 polymers with different drug/polymer ratios. Microspheres were characterized by SEM, DSC, FT-IR and particle size analysis and evaluated for morphology, drug loading and in vitro drug release in simulated vaginal fluid. The FT-IR and DSC spectra revealed that there was no chemical interaction between drug and polymers used. SEM revealed that microspheres were spherical with a smooth surface morphology indicating that CTZ was well dispersed inside the carrier with a mean particle size ranging from 17 -58 μm. The in vitro drug release from formulation M1 to M6 was found to be 83.10% to 98.88% at the end of 12 h. Among various formulations M4 was found to have good control release pattern as it has shown 99% drug release in 12 hours and hence to achieve bioadhesion to mucosal tissue formulation M4 was incorporated in the bioadhesive gel made of carbopol 934P. Clotrimazole microspheres gel (CTZ-MG) was characterized by in vitro drug release and antifungal activity. The drug release was controlled up to 24 h. Inhibition effect on the C. albicans j1012 growth, suggested their effectiveness in the treatment of vaginal candidiasis. Result of this study suggests that CTZ-MG can be used as a novel controlled delivery system for local therapy of vaginal candidiasis. INTRODUCTION: Microencapsulation is widely used in the pharmaceutical and other sciences to mask tastes or odors, prolong release, impart stability to drug molecules, improve bioavailability, and as multi-particulate dosage forms to produce controlled or targeted drug delivery. QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.5(1). 220-27 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.5(1). 220-27 It is therefore a rapidly expanding technology for achieving sustained-release dosage forms. Up to now, only few studies reported the use of microspheres for the treatment of vaginal diseases. For instance bioadhesive microparticles, PLGA microspheres and polymer lipid based mucoadhesive microspheres were assessed as vaginal delivery systems. Moreover, chitosan based microspheres loaded with an antimicrobial drug were added to different mucoadhesive excipients (cellulose derivatives, sodium alginate or Carbopol® 974) to prepare mucoadhesive vaginal
Prediction of catalytic residues from X-ray protein structure refinement parameters

Catalytic residue investigation is important for biologists to study protein functions. In previous studies, many researchers have successfully applied features, which were from sequenceand structure-based, to predict the position of catalytic residues in proteins. A highly correlation between atomic fluctuations and the catalytic positions have ever been observed. In this study, we were trying to investigate if this information was hidden in the X-ray diffraction data. The results from our test indicated the possibility to catch-up the catalytic residues in the protein structure refinement process. Keywords—TLS refinement, Catalytic site prediction, B-factor.
Mapping Relational Databases into OWL Ontology

—In this paper we present an approach of RDF graph generation from relational databases. This approach consists of structures creation of ontology including classes, properties, hierarchy, cardinality and instances creation. This approach not only saves efforts in developing the Semantic Web but also makes an amount of data in relational databases machine understandable for the Semantic Web. The experimental results show that the approach is feasible and efficient, and is implementable with Java language.
Effects of an EBG Structure on Microstrip Patch Antenna for LTE Mobile Communication Systems

: Long Term Evolution (LTE) to achieve very high data rates in both the uplink and downlink channels. Such antenna systems are required to fit within the hand-held (mobile) terminal which occupies a small size (typically not more than 60*100 mm 2 ). Utilization of electromagnetic band-gap (EBG) structures is becoming attractive in the electromagnetic and antenna community. In this paper, the effects of a two-dimensional electromagnetic bandgap (EBG) Structures on the performance of microstrip patch antenna arrays are investigated using the HFSS. Microstrip patch antennas became very popular because of planer profile, ease of analysis and fabrication, compatibility with integrated circuit technology & their attractive radiation characteristics. To improve surface wave losses uses Electro Magnetic Band Gap structures, for improving efficiency & bandwidth do proper impedance matching. This paper represents the design of Electromagnetic Band gap (EBG) structure having fractal shape and its effect on antenna performance. The aim of this paper is to design, simulate and fabricate the new EBG structure operating at 2.4GHz frequency and to study the performance of the rectangular microstrip antenna in terms of the bandwidth and VSWR with and without EBG structure which are characterized in terms of return loss and radiation pattern. The antenna has a measured Centre frequency of 2.4 GHz, bandwidth of 105 MHz and total size of 29.0 * 38.1 mm 2 .
Mitigation of ICI Through Optimized SSR ICI Self Cancellation Scheme in OFDM

: Orthogonal frequency division multiplexing (OFDM) is extensively used in wireless communication systems because it offers high data rates and provides a better solution to inter symbol interference (ISI) caused by a multipath channel. A well known problem of OFDM system is sensitive to carrier frequency offset (δ) between the transmitted and received signals. The Frequency offset in wireless communication systems ruins the Orthogonality between subcarriers resulting in Inter Carrier Interference (ICI). Which is a severe problem in OFDM system and eventually decrease the performance of the system. There are numerous techniques are in existence to mitigate the effect of ICI caused by CFO (carrier frequency offset). This paper investigates an innovative ICI cancellation method termed as optimized SSR (symmetric symbol repeat) ICI self cancellation scheme. The proposed method utilizes an optimum data allocation (1,-λ) and combining (1,-µ) scheme to improve CIR performance for an estimated normalized frequency offset δ. However, this requires continuous CFO estimation and feedback circuitry. To avoid the requirement of CFO, sub optimal values (λso, µso) are considered for combating the effect of ICI. This paper mainly focus on comparison of proposed method with the previous reduction methods and standard OFDM system in terms of CIR (carrier to interference) & BER (bit error rate) performance.
Robust Watermarking Framework with DCT Based Encryption

– Since several years,, the protection of multimedia data is becoming extremely important. The protection of the multimedia data might be performed with encryption or data hiding algorithms. To address the transmission time, information compression is required. If you take benefit from the character of cryptographic schemes and digital watermarking, the copyright of multimedia contents can possibly be well protected. Our objective will be to give access to the outcomes of one's image integrity and of their origin regardless of the fact that the reputation is stored encrypted. If watermarking and encryption are conducted jointly for the protection stage, watermark extraction and decryption might be applied independently. With the source end original image and watermarked encrypted image is processed. This encrypted watermark image is finally decoded at the receiver end. This proposed work proposes a novel encryption algorithm to encrypt image. The entropy of this very watermarked image and correlation coefficient of extracted watermark image is amazingly not far away from ideal values, proving the correctness of proposed algorithm. In the proposed system, a Watermarking Scheme based on DWT with encryption algorithm, will be developed to improve the robustness and protection along with security. Also experimental results show resiliency of a given scheme against large blurring attack like mean and Gaussian filtering, linear filtering Thus proving the security, effectiveness and robustness of a given proposed watermarking algorithm.
Using Smote for Convalescing Software Defect Prediction

Software fault prediction models use software metrics and fault occurrences statistics, collected from previous versions of software products. These models attempt to predict the defect status (probability) of the software components. Developing an accurate and efficient software defect prediction model remains a challenging issue due to existence of outliers in data sets used in defect prediction process and that the unbalanced data sets badly influence the performance of software fault prediction model. Most of the prediction model make use of all the software metrics collected from previous projects , although there is no need to employ all software metrics collected for fault prediction as some of these software metrics are redundant and should not be used to develop prediction model due to curse of dimension. We previously proposed [23] a model to deal with two issues i.e. outlier detection and attribute selection. In this paper, we have improved our previous model and apply Synthetic Minority Over-sampling Technique (SMOTE) on the datasets to deal with class imbalance. We have compared the classification results of both models to validate the strength of improved approach.
Review for Calculating Trust of a Particular System

: Multi agent systems are made up of multiple interacting intelligent agents - computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their objectives. Trust is important in Multi Agent System for an agent, using which agents can communicate with each other. In this paper, we present a systematic study on different models for calculating trust and reputation of an agent. Here we have given comparative study of Bayesian network, FIRE model, and Secured Trust model for calculating a trust of a particular system.
Management of Mathematics Phobia among Ninth Standard Students

This research is carried out on 60 students of IX Standard, Kendriya Vidalaya. Students were selected for the therapy on the basis of their SUD score. After taking math autobiography it was revealed that anxiety in mathematics for the students was developed due to various causes and the students were not dyslexic. Student’s average score in the recent mathematics exam was noted. Mathematics anxiety was assessed by using suri, monroe and koc’s (2012) short mathematics anxiety rating scale and their hemispheric dominance of the brain was measured by using Taggart and Torrance’s Human Information Processing Survey (1984). Students were treated with behaviour modification techniques and super brain yoga for six weeks. Interventions used are: I. Reduction of Rate of Breathing (Ganesan, 2012). II. Laughter Technique (Ganesan, 2008b). III. Develpoment of Alternate Emotional Responses to the Threatening Stimulus (Ganesan, 2008a). IV. Super Brain Yoga (Sui, 2005). The anxiety level and performance in mathematics exam was reassessed after six weeks. Results showed that mathematics anxiety and mathematics SUDs were significantly reduced, which improved the group performance in mathematics exam. This shows that behaviour modification techniques and super brain yoga are efficient in treating mathematics anxiety.
ADCA: Advanced Density Based Clustering Algorithm for Spatial Database System

— Cluster detection in Spatial Databases is an important task for discovery of knowledge in spatial databases and in this domain density based clustering algorithms are very effective. Density Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm effectively manages to detect clusters of arbitrary shape with noise, but it fails in detecting local clusters as well as clusters of different density present in close proximity. Density Differentiated Spatial Clustering (DDSC) and Local-Density Based Spatial Clustering Algorithm with Noise (LDBSCAN) manage to detect clusters of different density as well as local clusters very effectively, but the number of input parameters is very high. Here I have proposed a new density based clustering algorithm with the introduction of a concept called Cluster Constant which basically represents the uniformity of distribution of points in a cluster. In order to find the density of a point I have used new measure called Reachability-Density. The proposed algorithm has minimized the input to be provided by the user down to one parameter (Minpts) and has made the other parameter (Eps) adaptive. Here I have also used some heuristics in order to improve the running time of the algorithm. Experimental results show that the proposed algorithm detects local clusters of arbitrary shape of different density present in close proximity very effectively and improves the running time when applied the heuristic.
PERFORMING INFORMATION GOVERNANCE: GOLDEN TRIANGLE COMPONENTS FOR APTS COUNTERMEASURES

Advanced Persistent Threats (APTs) use multiple processes to break into a system, avoid detection, harvest valuable information, and inflict serious harm to an organization. It may help us perform information governance to implement security policies, identify risk assessment, and block computer packets. There is still a lack of standards in the APTs investigation processes. In order to obtain the required evidences in the court for prosecution, the golden triangle components (People, Process and Technology) for APTs counter measures have been carried out in this study. Since information security is vital for developing and running an efficient business, this study constitutes a strategic approach to improve the information security. The result of this study is also expected to improve the APTs investigation process and place emphasis on potential possibilities of gathered evidence. The golden triangle components of this proposed methodology is illustrated by applying to some APTs incidents in Taiwan.
An Improved Flood Forecasting and Warning System using Data Mining

—Hydrological modelling of large river catchments has become a challenging task for water resources engineers due to its complexity in collecting and handling of both spatial and non-spatial data such as rainfall, gauge-discharge data. With changes of surface in Lukus River Basin and the climatic and meteorological changes in Morocco in recent years, it is necessary to study the hydrologic processes, which can also provide technical support for the flood control and warning unit. Thus, the development of an intelligent DSS for Real-Time flood forecasting and warning is crucial for reducing flood disasters urgently and effectively.
frameworks: Survey

At the leading edge of Artificial Intelligence, machine learning game applications use a combination of various algorithms and different types of information. Searching the large space of solutions in depth leads to better solution. In checker board game next move of disc is important to defeat the opponent. Different selection strategy can be employed to select best next move. In this paper, we present comparative performance of roulette wheel selection and tournament selection method. The focus of this paper is to incorporate systematic game playing approach by analyzing game of checkers. Expert game players reveal three major playing
Discovery of Ranking Fraud for Mobile Apps

Mobile application plays an important role for all the smart phone users to play or perform different tasks. Mobile application developers are available in large number; they can develop the different mobile applications. For making lager users for their applications some developers involve in illegal activities. Due to these illegal activities the mobile applications hires high rank in the application popularity list. Such fraudulent activities are used by more and more application developers. A ranking fraud detection system for mobile Apps is proposed in this paper. Accurately locate the ranking fraud by mining the leading sessions, of mobile Apps.R3-RFD algorithm is proposed in this paper. Furthermore, sentiword dictionary is used to identify the exact reviews scores. The fake feedbacks by a same person for pushing up that app on the leaderboard are restricted. Two different constraints are considered for accepting the feedback given to an application. The first constraint is that an app can be rated only once from a user login. And the second is implemented with the aid of MAC address that limits the number of user login logged per day from a MAC address as five.
ANTIMICROBIAL ACTIVITY OF ETHANOL AND AQUEOUS EXTRACTS OF CENTRATHERUM PUNCTATUM CASS

Aim: The current study was aimed to investigate the antibacterial efficacy of C.punctatum Cass. Methods: Solvents such as ethanol and water were respectively used to evaluate the antimicrobial potential of the aerial parts of Centratherum punctatum against Staphylococcus aureus, Bacillus subtilis, E.coli and Proteus by well diffusion method. The maximum activity was observed in aqueous extract when compared with that of the ethanol extract. Results: The results of the study revealed that the whole plant extract possess good antimicrobial activity. Water extract of C.punctatum has more antimicrobial potential than ethanol extract. Conclusion: The major chemical constituents of plant may also contribute in the management of various diseases for which it is used as anti cancer, analgesic and wound healing agents.
Content Based Image Retrieval using Line Edge Singular Value Pattern

-Content Based Image Retrieval Technique is highly used technique in this world of large image database. Content Based Image Retrieval is actively used in field of Data Mining, Education, Medical, Crime Prevention, Remote Sensing, Management of Earth Resource, Forecasting etc. It is very effective and efficient method for indexing and retrieving the images based on the content features like color, shape and texture. With increasing popular technologies content based image retrieval is very accurate and fast method to retrieve the image. In this paper we proposed an improved image retrieval technique Line Edge Singular Value Pattern (LESVP) by the integration of Line Edge and Singular Value Decomposition to retrieve images from a large database. The experimental results show our proposed method retrieve images with better accuracy as compared to other existing methods like LBP, LEBP.
BIOFUEL PRODUCTION FROM BANANA PEEL BY USING MICRO WAVE

Banana peel was pretreated through the process of microwave before they were simultaneously saccharified and fermentation by aspergillus niger and saccharomyces cerevisiae. They were pretreated with microwave power of 160 W at microwave time of 5 min. The reduction in sugar and glucose content in pretreated specimens under pretreated conditions were measured by biotransformation method. Fermentation was done for 7 days for banana peels and the ethanol content was measured every 24 hours. The optimum pH and temperature for the fermentation of banana peels was 6 and 30°C. The experimental results indicated that the microwave treatment could lead to significant improvement in sugar production, including reducing sugar and glucose, which provided potential strategies for widening practical application of banana peel in the food industry.
Hybrid Dwt-Dct Coding Techniques for Medical Images

-In this paper, a hybrid image compression coding technique using the discrete cosine transform (DCT) and the discrete wavelet transform (DWT) is used for medical images. The aim is to achieve higher compression rates by applying different compression thresholds for LL and HH band wavelet coefficients. The DCT transform is applied on HL and LH bands with maintaining the quality of reconstructed images. After this, the image is quantized to calculate probability index for each unique quantity so as to find out the unique binary code for each unique symbol for their encoding.
Use of Fuzzy Logic in Evaluating Students’ Learning Achievement

– Every student is unique. Evaluation of student answersheet should be done in more fair and transparent manner. Whenever subjective evaluation is there it may lead to difference of opinion. Fuzziness arises by virtue of difference in opinion. To improve the classical statistics of the teaching assessment this paper combines the various methods. It uses fuzzy logic to solve the said problem of Evaluating Student learning achievement.
Evaluation of Road Safety Performance Based On Analytic Hierarchy Process

168 Abstract— This article present the evaluation of SPIs (safety parameter indicator) affecting on road safety with using the MCDM method. Multi criteria decision making is one the method that used in decision management with more than one criteria to prioritize the factors. MCDM has types of technique to prioritize the factors but one of this technique is AHP (Analytic Hierarchy Process) used in this article. Statistical data in this article are taken from 21 European countries. All data classified in 11 safety performance indicators and used in AHP method. All 21 countries will be ranked with AHP based on these data and after ranking we can analysis that wich country has better policy and appropriate safety plane to enhance the quality of safety and transportation.
NOVEL IDEA FOR IMPROVING VIDEO CODECS

Nowadays, as the usage of internet is increased at such an extent that we cannot imagine our lives without internet. The internet facilitates us with its valuable services like online video sharing, viewing and downloading, e-advertising, video conferencing, video telephony etc. These all services consume most channel capacity, so the biggest problem faced is delay in transfer of multimedia files and bandwidth required for the transmission of video in terms of cost of transmission. So to overcome the problem video compression is necessary. The challenges faced by the video compression algorithm, is to maintain tread off between: quality of video, compression ratio and computational complexity. MPEG-4 is a latest algorithm but having higher computational complexity, as it is object based compression algorithm, whereas MPEG-2 is somewhat older but having low computational complexity and giving less compression as it is subjective compression. Here in this paper, authors have introduced modification in MPEG-2 algorithm to achieve compression almost nearer to MPEG-4 with little increase in the computational complexity of the algorithm