Miracle-dz/UniFAR-FTUs huggingface dataset:
DEVELOPMENT AND VALIDATION OF DAPAGLIFLOZIN BY REVERSED-PHASE HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY METHOD AND IT’S FORCED DEGRADATION STUDIES

Objective: To develop and validate a simple, selective, precise, and accurate method for the estimation of dapagliflozin using reversed-phase highperformance liquid chromatography (RP-HPLC) technique in bulk and tablet formulation. Methods: The proposed method utilizes chromatographic conditions hypersil BDS (250 mm × 4.6 mm, 5 μ), mobile phase was buffer:acetonitrile (60:40) ratio, flow rate was maintained 1 ml/minute, column temperature was set at 30°C, detection wave length was 245 nm, and diluent was mobile phase. Results: By injecting 5 times of the standard solution system suitability parameters were studied, and results were found well under the acceptance criteria. The linearity study was performed by taking 25-150% levels, and the R2 value was found to be 0.999, precision was found to be 0.5 for repeatability and 0.31 for intermediate precision. The % recovery was found to be 99.89%. Limit of detection and limit of quantitation were found to be 0.60 μg/ml and 1.81 μg/ml, respectively. The % purity was found to be 99.71%. Degradation study on dapagliflozin was performed and concluded that the purity threshold was more than purity angle and within the acceptable range. Conclusion: The developed RP-HPLC method for dapagliflozin was found to be simple, precise, accurate, reproducible, and cost effective. Statistical analysis of the developed method conforms that the proposed method is an appropriate and it can be useful for the routine analysis. This method gives the basic idea to the researcher who is working in area such as product development and finish product testing.
An Efficient Approach for Content-Based Image Retrieval Using Distributed networks

Abstract: Peer-to-peer networking offers an adaptable answer for sharing media information over the system. With a lot of visual information circulated among various nodes, it is a vital yet difficult issue to perform content-based retrieval in peer-to-peer networks. While the majority of the current strategies concentrate on ordering high dimensional visual elements and have impediments of adaptability, in this paper we propose a versatile approach for content-based retrieval in peer-to-peer networks by utilizing the pack of-visual words display. Contrasted and concentrated conditions, the key test is to effectively get a worldwide codebook, as pictures are disseminated over the entire p2p system. What's more, a shared system frequently advances progressively, which makes a static codebook less compelling for recovery undertakings. Along these lines, we propose an element codebook refreshing strategy by upgrading the common data between the resultant codebook andpertinence data, and the workload adjust among hubs that oversee distinctive code words. So as to further enhance recovery execution and lessen arrange cost, ordering pruning procedures are created. Our farreaching test comes about show that the proposed approach is versatile in developing and distributed p2p systems, while accomplishing enhanced recovery exactness .
The Analysis of Sparse Representations for the Sequence of Images of Videos

Sparse representation has become very popular in fields of signal processing, image processing computer vision and pattern recognition. Sparse representation also has good reputation in both theoretical and practical applications. Images can be sparsely coded by structural primitives and recently the sparse coding or sparse representation has been widely used to resolve the problems in image resolution applications by the -norm and -norm techniques. Sparse representation has been used in pattern classification. Sparse coded a set of bases and classified the signal of a signal based on its coding vector. Sparse representation can be used for the face recognition, the face image is first sparsely coded and then classification is performed by checking the least coding error and also for the pattern recognition. In this paper, using the sparse representations for the analysis of the sequence of images. As per this approach, the sparse representations are used detect the error in each frame of the video which is might be have the anomalous events. This method gives the error detection rates and elapsed time for the video by using the sparse representation algorithms.
LOW POWER PULSED HYBRID FLIP-FLOP DESIGN USING GDI TECHNIQUES

: In this paper, we introduce a new Pulsed Hybrid Flip-Flop (PHFF) using Gate-Diffusion-input (GDI) technique. This allows to reducing power-delay products and area of the new PHFF circuit, while maintaining the low complexity of logic design. The proposed design eliminates the large capacitance present in the pre-charge node. The performance comparisons made in 180nm technologies using Cadence tool. The proposed PHFF offers a power reduction of 26% and 32% reduction in power-delay product in GDI. PHFF are compared with other flip-flop designs by implementing a 4-bit Ring counter and 4-bit Johnson up-down counter.
Energy Storage: A Review

Efficient and economic energy storage, if implemented in the current power infrastructure on a large scale, could bring about some of the greatest changes in the power industry in decades. Additionally, energy storage would improve the reliability and dynamic stability of the power system by providing stable, abundant energy reserves that require little ramp time and are less susceptible to varying fuel prices or shortages. Energy storage can shift the higher peak load to offpeak hours in order to level the generation requirement, allowing generators to run more efficiently at a stable power level, potentially decreasing the average cost of electricity. Additionally, increased energy storage capacity can avoid generation capacity, decrease transmission congestion, and help enable distributed generation such as residential solar and wind
Semantic expert mining in Social Networks-A Survey

- With the emergence of social networks such as micro-blogging services like Twitter, the expert finding has become an interesting topic. However, previous methods cannot be directly used to learn about topic experts in Twitter. Some of the new methods employ the relations among users and Twitter lists for expert finding. A probabilistic method has been developed to explore the relations (i.e. follower relation, user-list relation and list-list relation) for finding experts. To calculate the global authority of users, a Semi-Supervised Graph-based Ranking (SSGR) approach is used. Then a local relevance between users and given query is computed. By understanding the global authority and local relevance of users, all users are ranked and top-N users with highest ranking scores are retrieved which constitute the topic experts in Twitter.
Mechanisms of annexin gene regulation.

Members of the annexin protein family are characterised by their ability to bind to phospholipids in a calcium-dependent manner. Since their discovery in the late 70s, a number of different family members have been found in mammals, plants and lower eukaryotes, although to date, no function has been unequivocally determined for any member. The restricted tissue-distribution of the annexins suggest that regulation occurs at the gene level. Most controversially, annexin I has been proposed to be steroidinducible. Both annexins I and VI were found to be unresponsive to steroids at the protein and mRNA level in a range of cell-types. Also, steroids were shown to have no effect on annexin I secretion. Reporter gene analysis confirmed that the promoters for both the annexins I and VI genes are not steroid-inducible. Truncation mutations were used to characterise the promoter regulatory elements showing that the annexin I promoter requires a functional CAAT and TATA box for activity. In contrast, these elements are not required in the annexin VI promoter. However, it is postulated that this promoter contains an “initiator element”. Further, it is shown that both enhancers and repressors operate within the annexin VI promoter, and that a site for the transcription factor SPl is likely to be functional in-vivo. A region within the annexin VI promoter was shown to be homologous to non-coding regions of a number of genes, including interleukin-4. This region was found to be a cell-specific enhancer/repressor of gene activity. In response to activation of the interleukin-4 gene, a cell-specific protein complex was seen to bind to a site within the homologous region. It was shown that this protein is not a member of the ST AT, NFAT or NFkB transcription factor families. Removal of this protein-binding site profoundly influences the enhancer/repressor activity of the homologous region. Lastly, activation of the interleukin-4 gene triggers a marked reduction in the level of annexin VI protein/mRNA specifically in Jurkat cells. This suggests that interleukin-4 and annexin VI expression may be co-ordinately regulated by the action of enhancer/repressor elements within non-coding regions.
Brain Tumor Identification using MRI Images

— In this paper, we propose segmentation method that uses the K-means clustering technique to identify the tumor in magnetic resonance image (MRI). Brain image segmentation is one of the most important parts of clinical diagnostic tools. Brain images mostly contain noise, inhomogeneity and sometimes deviation. So in this paper K-means clustering algorithm is to convert a given RGB image into a gray scale image and then separate the position of tumor objects. This improves the tumor boundaries accurately and is less time consuming when compared to many other clustering algorithms. In the conformal radiotherapy, the tumor cells are irradiated and killed with a very high precision, avoiding damage to the neighboring healthy tissues. The main objective of this study is the design of a computer system able to detect the presence of digital images of the brain and to accurately define its borderlines.
Tree based routing method to reduce time complexity of routing in MANET

- In this paper, we introduce a scalable and secure method for many-to-one symbol transmission that offers an optimal message length and is computationally simple. Here nodes can immediately check the correctness of received messages and detect data corruption without requiring any extra error tracing procedure. Previously message corruption was detected by the root of the tree communication model
Effect of Syrian Capparis Spinosa Leave Extract on Alloxan-Induced Diabetes in Rats

The present study aims to determine the beneficiary effects of Syrian Capparis spinosa (CS) leave extract on the diabetic rats. The primary qualitative chemical analysis demonstrates the presence of flavonoids and their glycosides in CS leave extract. A CS leave ethanolic extract rich in flavonoids and glycosides has been used in this study. Diabetes mellitus was induced in rats by intraperitoneal (150 mg/kg b.w.) single dose injection of alloxan monohydrate. Animals showing a blood glucose level ≥ 200 mg/dl after 3 days of alloxan injection were selected as diabetic rats. Leave ethanolic extract at a single dose of 2000 mg/kg/po did not show any clinical signs of toxicity in mice, nor a change in blood biochemical parameter levels. After 3 days of alloxan injection, treatment of the diabetic rats with a single dose of the extract (400 or 800 mg/kg/po) reduced significantly the blood glucose level after 8 and 24 hour (p≤0.05, p≤0.01) respectively, while treatment with a single dose of 200 mg/kg/po did not affect blood glucose level. The dose of 400 mg/kg/po of extract has been chosen as the effective dose for subsequent treatments of diabetic rats. Chronic treatment of diabetic rats with 400 mg/kg/po/d of CS leave extract, for 4 weeks, reduced significantly blood glucose level. It also reduced the concentrations of serum SGPT, creatinin and total cholesterol to normal values in comparison with the untreated diabetic rats. Prophylactic treatment of normal rats with 400 mg/kg/po of CS leave extract before one hour of alloxan injection, protected against the rise of blood glucose level induced by alloxan, and allowed continuous gradual increment of body weight which was equal to normal untreated rats. In conclusion, our study demonstrates an antidiabetic activity of Capparis spinosa leave extract, and supports its traditional usage in controlling diabetes.
Advanced Research in Computer Science and Software Engineering

— The integration of data mining techniques with cloud computing allows the users to extract the useful information from a data warehouse that reduces the cost of infrastructure and storage. But security and privacy of data is a big concern in data mining on cloud. In current cloud architecture, a client entrusts a single cloud provider with his data. It gives the provider and outside attackers having unauthorized access to cloud, an opportunity of analyzing client data over a long period to extract sensitive information. In this paper, we first identify the data mining based privacy risks on cloud data and provide the information with the help of which data can be secured from unauthorized users.
Wound healing potential of some active principles of Lawsonia alba Lam. leaves

Wound healing potential of different extracts of leaves of Lawsonia alba Lam. (Lythraceae) was evaluated on the rat excision and incision wound models. Different routes of administration (oral and topical) were studied in view to evaluate their efficacy in wound management. The naphthaquinone derivative, lawsone was isolated from the leaves and screened for same pharmacological activity. Results indicated that the oral administration of ethanol extract of Lawsonia alba leaves and lawsone exhibited significant healing response in both the wound models. Application of the same in the form of ointment was found to have better efficacy in wound repair cornpared to oral route. From the present study, it can be inferred that topical application of ethanol extract promoted the wound healing activity better than the other extracts.
Dengue Virus Disease: Current Updates on the use of Carica Papaya Leaf Extract as a Potential Herbal Medicine

This review of literature highlights the potentiality of Carica papaya leaf extract in controlling dengue viral disease induced thrombocytopenia-platelet count and discussed most of the published research work on this topic. Epidemic dengue is one of the leading arthopod-borne viral disease causes an acute febrile illness known as dengue fever (DF) followed by dengue haemorrhagic fever (DHF) or dengue shock syndrome (DSS). Dengue induced thrombocytopenia is life threatening and a major health disorder resulted in the lower platelet count in patients with dengue fever (DF). Carica papya is not only consumed as a nutritious and delicious fruit but also used as a chief and the best herbal medicine for many health disorders. On the basis of experimental studies, clinical data and pilot studies, the Carica papaya leaf extract could help to increase platelet levels in patients suffering from dengue. All these studies strongly confirmed antiviral properties of Carica papaya and supports a strong scientific evidence for the treatment of dengue. Therefore, the use of Carica papaya leaf extract (Caripill) in the management of thrombocytopenia associated with dengue is significant and considered as an alternative herbal medicine for dengue.
Bioanalytical Development Method and Validation

Bioanalysis is very essential to understand the pharmacokinetic, toxicologic of drug. It also based on the various types of biological techniques and the physico-chemical, it must be validated for the confidence of good result. In this bioanalysis there develop a new method for validation, accuracy, precision, selectivity. It is also very effective to quantitative analysis of analytes. It play very important role in evaluation and interpretation bioequivalence, pharmacokinetic and toxicokinetic studies. There some guidelines for the bioanalysis. These are also following the GLP and GMP. It develops the new method for quantitative analysis of any drug. It also focuses on the validation parameters. Bioanalysis is very important to understand the drug content in plasma, blood, serum or urine.
A Novel Approach to Analyze the Sentiment with Conjunctive Words

– Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral. It’s also known as opinion mining, deriving the opinion or attitude of a speaker. Sentiment analysis is the process which helps in identifying people’s attitudes and emotional states. In this paper we have discussed the existing work on sentiment analysis with different approach. We developed an algorithm that takes Punjabi paragraph as input and analyze the sentiment of paragraph by words, as well as a sentence on the basis of conjunctive word. The feature of this work is that it contains the dictionary of Punjabi words and conjunctive words which help to analyze the sentiment more accurately.
Designing Smart Campus Using Internet of Things

Definition of the internet of things: It is a network that consists of different objects which has the ABSTRACT Internet of things is new technology. It generally refers to the communication between things like technological devices, sensors, actuators and peoples with unique identifiers. Internet of things improves day to day activities of the users by minimizing the time things to be done. However, IOT is made for the people and used by them for many reasons such as health, business technology innovations and mainly in our case, it is used to control the devices in the campus by using sensors and internet connections. When the devices on the campus are automated, they can control the activities being done in the smart campus. A university campus can be considered as the ideal place for the creation of a smart environment. The main objective of this research is to describe a new concept called Smart University by providing a comprehensive overview of the IoT scenario and reviews its enabling technologies and to come up with methods to design some of the components of the campus with smart devices to simplify the works being done in the campus.
Isolation and Identification of Antibiotic Mediated Resistant Betalactum Producing Escherichia coli from Urinary Tract Infected Patients in ErodeDistrict, Tamil Nadu, India

The objective of this study was to detect the AmpC producing organisms in the urine samples. The urinary tract infected samples were collected and processed on various agar media and identified by observing colony morphology followed biochemical tests. In 212 urine samples growth of bacteria was only seen in 63 (29.71%) samples which were identified as the Escherchia coli and 149 (70.28%) samples which found to be healthy. Antimicrobial susceptibility testing was performed using the Kirby-Bauer disk diffusion method with the following set of antibiotics: Ampicillin/ Sulbactum (10/10 µg/disc), Aztreonam (30 µg/disc), Cefepime (50 µg/disc), Cefpodoxime (10 µg/disc), Ceftazidime (30 µg/disc), Cephoxitin (30 µg/disc), Ciprofloxacin (10 µg/disc), Imipenem (10 µg/disc), Meropenem (10 µg/disc), Ofloxacin (2 µg/disc), Piperacillin/Tazobactam (100/10 µg/ disc), Tigicycline (15 µg/disc) and Pazufloxacin (5 µg) to detect extended spectrum beta lactamase on all 63 E. coli isolates. As per CLSI guidelines extended spectrum beta lactamase production was determined by the presence of augmentation towards the cephalosporins. AmpC was detected by flattening of the zone of Ampicillin/Sulbactum towards Ceftazidime. All were resistant to cefoxitin and sensitive to cefepime. AmpC beta-lactamase production was confirmed in 5 (50%) isolates of the 10 positive isolates obtained by the AmpC detection test. Hodge test was done on all AmpC producers obtained by AmpC detection test.
Edge Patch Based Image Denoising Using Modified NLM Approach

The modified technique of a Non Local Mean method (NLM) is proposed in this paper, i.e. by combining the Non Local Means approach with the transform domain. This technique is grounded on estimating the noise free image significantly and efficiently as compared with the existing method. Our main focus is on the preservation of edges during the Denoising process. Since the edges are the important feature of the image, hence we use edge preserving filters to preserve the edges so that it reduces the chances of discontinuity and distortion of edges efficiently. The performance of proposed approach is experimentally verified on a variety of images and noise levels. The results presented in this paper demonstrate that our proposed method is at par or exceeding the current state of the art, both visually and quantitatively.
International Journal of Current Research in

Article Info A study was undertaken with rice-bean (Vigna umbellata) varieties to compare the effects of root-knot nematode infection on the chlorophyll “a”, “b” and “total contents of both susceptible and resistant varieties under infected and uninoculated control condition. Infection by the nematode caused decrease in chlorophyll content as 84.18, 2.93, 15.27 and 30.79% in the varieties BBSR-19-2-1, BRB-26-1, BRB-25-1 and BRB-7-1 respectively. Similarly chlorophyll „b‟ content was also reduced as 0.92%, 0.23%, 14.62% and 53.75% in the varieties BBSR-19-2-1, BRB-26-1, BRB-25-1 and BRB-7-1 respectively. Due to infection of the nematode total chlorophyll content of rice bean varieties was reduced as 10.39, 2.92, 15.16 and 38.75% in the varieties BBSR-19-2-1, BRB-26-1, BRB-25-1 and BRB-7-1 respectively. However, the decrease was non-significant in resistant varieties as compared to susceptible varieties. Decrease in chlorophyll content may possibly due to the alteration of host nutrition and physiology by nematode infection. Accepted: 10 November 2016 Available Online: 06 December 2016
Application For Comparison and Analysis of Rural to Urban IQ-Regions Based Study using the Data-Mining Technique

: Predicting IQ in different Rural and Urban areas and comparing their respective education systems is very much challenging due to a set of factors affecting the results. In a country like India, there is a lack of existing system that analyzes and monitors the student profile. Here the IQ is generally suggested on the basis of one’s own performance and social influence; to overcome this drawback of IQ prediction from student’s profile we have come up with the solution which uses Data Mining Methodologies like Chi-square, Naïve Bayesin predicting and classifying IQ. Factors like answerability and the thinking capacity of the targeted student set is taken into consideration in the proposed model.In this paper we also suggest parameters and survey procedures by existing schools; the data collected will be used for comparing and identifying the regions with different IQ levels and in need of attention based on the results acquired.
Evaluation of Some Novel Techniques For Dissolution Enhancement of Poorly Water Soluble Drug Nimodipine

Nimodipine (NMP), a Ca channel blocker, has a low oral bioavailability due to poor solubility and insufficient dissolution rate. In order to improve the same, various techniques were employed viz., evaporative precipitation into aqueous solution (EPAS), spherical agglomeration (SA) and solid dispersion using solvent evaporation and meltmixing. Formulations so prepared were characterised by differential scanning calorimetry (DSC) and X-Ray powder diffractometry (XRD) and were investigated for drug content studies, solubility studies, in-vitro study and in vivo evaluation of anti-inflammatory activity. The formulations of NMP prepared by spherical agglomeration technique have the good drug content and the formulations with SLS and HPMC show a significant increase in solubility in case of SA technique. In case of solid dispersion, all carriers show improvement in the dissolution rate of the drug The DSC studies show no change in the polymorphism in most of the formulations The XRD studies of the formulations show no change in their crystalline form.