Miracle-dz/UniFAR-FTUs huggingface dataset:
CODEN (USA): IJPSPP Formulation, Characterization and in vitro Evaluation of Entacapone Solid Dispersions with Lipid Carriers by Using Spray Drying Method

In present study, immediate release solid dispersion formulation of Entacapone with various lipids was developed using spray drying method. Entacapone is indicated for the treatment of Parkinson’s disease (PD) as an adjunct to levodopa/carbidopa therapy. Based on the process feasibility and solubility of resulting spray dried powder, formulation ENSD10 was selected for characterization and analyzed for in vitro dissolution profiles in three different pH media. The particle size of Entacapone in spray dried formulation ENSD10 was drastically reduced down to d90 of 25. 86μ against d90 of as such drug substance, i.e., 124. 74μ. Analysis by differential scanning calorimetry showed that the percentage of crystallinity has been significantly reduced in formulation ENSD10.The optimized solid dispersion formulation (ENSD10) by spray drying method comprising drug to lipid to lipid carrier ratio of 0.5:1:3 (Entacapone: Gelucire 50/13: Compritol) enhanced solubility nearly 6.31 fold and 3.75 fold as compared to pure drug and spray drug alone, respectively. The rate of drug release from spray dried powder was significantly improved and found to be on higher side as compared to the drug release from as such drug and spray dried drug alone. The obtained results suggested that developed Entacapone along with lipid carrier mixture by spray drying method has promising potential for oral delivery and might be an efficacious approach for enhancing the therapeutic potential of active substance.
EFFECTS OF MODERATE INTENSITY INTERVAL TRAINING IN RUNNING ON CARDIOVASCULAR EFFICIENCY VARIABLES OF SEDENTARY NIGERIAN MALE ADULTS

Each node in mobile ad hoc networks (MANETs) is free to move independently in any direction. This movement of nodes leads to path failures and route discoveries. Broadcasting is a well known mechan1sm to discover the route and it causes broadcast storm problem. The broadcast storm problem performs too many rebroadcasting and also increases routing overhead in MANETs. Another problem is sometimes while discovering the route to the destination, the intermediary node losses its energy because of its less battery life time so that the intermediary node cannot forward the route reply on reverse path i.e. the reverse path forwarding of broadcast packets can be lost. This results rebroadcast, less packet delivery ratio and more end to end delay. To overcome the above mentioned problems, a neighbor coverage based probabilistic rebroadcast protocol is used for reducing routing overhead and broadcast storm problem. The Energy Optimal AODV routing protocol is used for reverse path forwarding of broadcast packets without any loss. Our approach reduces the number of retransmission so as to reduce the routing overhead, energy efficiency and can also improve the routing performance. __________________________________________________________________________________________________________
Adaptive Protection Scheme for Low-Voltage DC-Bus Microgrid Systems

Adaptive Protection Scheme for low-voltage dc-bus microgrid systems is presented in this paper. Unlike traditional ac microgrids, protection has been challenging for dc systems. The goals of the proposed scheme are to detect the fault in the bus between devices and to separate the faulted section so the system keeps operating without disabling the entire system. To achieve these goals, a loop-type dc-bus-based microgrid system, in which differential protection scheme is proposed that include solidstate bidirectional switches and snubber circuits. The proposed scheme can detect faults on the bus regardless of fault current amplitude or the power supply’s feeding capacity. The proposed concepts have been proved by MATLAB/Simulink simulations. Keywords— DC Distribution system, solid-state switch, fault locations, protection systems.
VALIDATED HPTLC METHOD FOR THE SIMULTANEOUS DETERMINATION OF EMTRICITABINE AND TENOFOVIR IN DRUG FORMULATION

A simple, precise, specific and accurate high-performance thinlayer chromatographic method has been developed for the simultaneous determination of Emtricitabine (EMB) and Tenofovir (TEN) in pharmaceutical dosage form. The separation was carried out on Merck HPTLC aluminum plates of silica gel 60 F254, (20×10 cm) with 250 μm thickness using toluene: ethylacetate: methanol in the ratio (2:8:1 v/v/v) as mobile phase. HPTLC separation of the two drugs followed by densitometric measurement was carried out in the absorbance mode at 272 nm. The drugs were resolved satisfactorily with Rf values of 0.44 and 0.68 for EMB and TEN, respectively. The linear regression analysis data for the calibration plots showed good linear relationship with r2 = 0.9999 and 0.9995 for EMB and TEN, respectively, in the concentration range of 40–400ng spot −1 for EMB and 200–700ng spot −1 for TEN. The method was validated for precision, robustness, specificity and accuracy. The limits of detection and quantitation were 20 and 40ng spot −1 , respectively, for EMB and 100 and 200ng spot −1 , respectively, for TEN. The proposed HPTLC method can be applied for identification and quantitative determination of EMB and TEN in bulk drug and drug formulation. INTRODUCTION: Emtricitabine and Tenofovir (Fig.1 and Fig.2) belong to the category of antiretroviral drugs. Emtricitabine is chemically 4Amino 5 fluoro 1 [2-(hydroxymethyl) -1, 3oxathiolan-5-yl]-pyrimidin-2-one 1, 2 . It is classified as a nucleoside reverse transcriptase inhibitor. Chemically Tenofovir is 1-(6-Aminopurin-9-yl)prapan-2-yl-oxymethylphosphonic acid 3, 4 . QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.6(6). 2418-22 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.6(6). 2418-22 It is a nucleotide analogue reverse transcriptase inhibitor. A thorough literature review revealed that only LC-MS/MS 5 and RP-HPLC 6 methods for the estimation of EMB and TEN in human plasma, RPHPLC 7, 8 for determination of TEN in plasma, LC/MS/MS for determination of TEN in plasma 9 and HPLC method involving fluorimetric detection for determination of EMB in human plasma 10 have been carried out so far. According to literature review no method has been reported for simultaneous determination of EMB and TEN by HPTLC. HPTLC method is cost effective, rapid and less time consuming. In HPTLC many samples are simultaneously used and solvent requirement is low. The present work reports the development and
MODULATORY ROLE OF MOLLUGO CERVIANA ON ERYTHROCYTE MEMBRANE ANTIOXIDANT IN ALLOXAN- INDUCED DIABETIC RATS

The aim of the present study was designed to investigate the protective effects of Mollugo cerviana extract on erythrocyte membrane in Alloxan induced diabetic rats. Diabetic rats were treated with Mollugo cerviana extract and diabetic rats were also treated with glibenclamide as drug control, for 30 days. In this study, erythrocytes antioxidant enzymes such as superoxide dismutase, catalase, glutathione peroxide and non enzymatic antioxidants mainly vitaminC, vitaminE, reduced glutathione (GSH) levels were altered. Moreover, Mollugo cerviana extract reversed the lipid peroxidation markers, osmotic and antioxidant status in Alloxan induced diabetic rats. These results suggest that Mollugo cerviana extract could provide a protective effect on diabetes by decreasing oxidative stress associated diabetic complications.
Design and Analysis of fuzzy PID Controllers using Genetic Algorithm

-Genetic Algorithms (GAs) are powerful tools to solve large scale design optimization problems. The research interests in GAs lie in both its theory and application. On one hand, various modifications have been made on early GAs to allow them to solve problems faster, more accurately and more reliably. On the other hand, GA is used to solve complicated design optimization problems in different applications. The main focus of this paper is to find the best Fuzzy PID Controller. We are design four Fuzzy PID Controller (Type-2 FPID, Multistage FPID,GA Type-2 FPID,GA Multistage). We are use GA in both Type-2 & Multistage FPID, then we are analyzing the result on the basis of settling time, Error, Energy consumption and find best fuzzy PID among those. Then we are comparing the result of best Fuzzy PID with Previous paper. The algorithms are coded with MATLAB and applied on several test functions. The results are compared with the existing solutions in literatures and shows promising results.
Comparison Analysis of Different Queuing Mechanisms Droptail, RED and NLRED in Dumb-bell Topology

: Congestion is one of the major problems in today’s internet. So for managing traffic and to keep the network stable, Congestion Control algorithms are used. Queuing is one of the important method in traffic management system. This paper gives a comparative analysis of three queuing mechanisms Droptail, Random Early Detection and Non Linear Random Early Detection on the basis of various performance parameters like throughput and packet drop. The simulation results show that NLRED has a superior quality than other mechanisms.
Recommendation System with Sentimental Analysis using Keyword Search

: Recommendation or recommender system is a system which provides recommendations to users according to their tastes. They are applied in variety of applications like books, movies, restaurants etc. In the proposed work, a recommendation system for hotel recommendations is considered where a user based collaborative filtering algorithm is used. That is the recommendations are obtained based on the similarity between users with similar tastes and preferences. Here keywords are used to indicate the user’s preferences, and then the similarity between the current user and other users with the same keyword in their reviews is considered. The reviews given by the users will have both positive and negative sentiments. So in the proposed work, sentimental analysis on the reviews is done using Naive Bayes, a machine learning technique to distinguish between the positive and negative reviews. Also MongoDB database is used to store the review details. The proposed method aims at providing appropriate recommendations with more accuracy over existing method.
Human Detection and Tracking System for Automatic Video Surveillance

: Detection and tracking of humans in a video has great potential applications. The paper proposes a novel scheme for performing automated human detection and tracking in videos. The method consist of two steps namely, motion detection and human – non human classification. Motion detection is done by performing background subtraction. The background model is generated using a mixture of Gaussian distributions. The human – non human classification is done by generating the feature vector from the local binary pattern of segmented regions. A radial basis function based support vector machine is used for classification. The proposed scheme was tested on some test videos and was able to detect and track human figures with acceptable accuracy.
ARPN Journal of Science and Technology::Ant diabetic and Antihyperlipedemic Properties of Ethanolic Root Extract of Gongronema Latifolium (Utazi) on Streptozotocin (STZ) Induced Diabetic Rats

Diabetes mellitus is associated with alteration in carbohydrate and lipid metabolism. The present study was designed to investigate the hypoglycaemic and hypolipedemic activities of ethanolic root extract of Gongronema latifolium (GL) in Streptozotocin (STZ) diabetic rats. Diabetes was induced by intraperitoneal injection of STZ (65mg/kg b.w) after a 24hour fast. After being confirmed as diabetic, the animals were treated with 200mg/kg b.w and 400mg/kg b.w of ethanolic root extract of GL for 14days. Induction of diabetes with STZ in experimental rats showed significant (P<0.05) increase in serum glucose, triacylglycerol (TG), total cholesterol (TC), very low density lipoprotein (VLDL) and significant (P<0.05) reduction in high density lipoprotein cholesterol (HDL-C) in the diabetic control group compared with the normal control. Treatment with extract (at these doses) significantly (p<0.05) reduced serum glucose, TG, TC, VLDL but increased HDL in diabetic rats. There was no significant change on low density lipoprotein (LDL) in serum. The result from this study suggests that root extract of GL has ant diabetic and hypolipidemic properties in experimental diabetes mellitus rats model and therefore could be used for the management of diabetes mellitus (DM) in human.
Bone Mineral Density and Lean Body Mass Response to Selective Exercise Program in Burned Children

The aim of this work was to evaluate the efficacy of weight bearing exercise and resisted exercise on bone mineral density BMD and lean body mass LBM in post burned children. Forty burned children (ages from 7 to18 years) with 40% or more total body surface area (TBSA) burned (after 6 months of burn) had been participated in this study. The patients were randomly divided into two groups. Group A: participated in a 12­week of physical rehabilitation program supplemented with an individualized and supervised exercise training program (Resisted ex. + Weight bearing ex. + Traditional ex.). Group B: participated in a 12­week of physical rehabilitation program (traditional exercise only) (stretching ex, scar rehabilitation, R.O.M and ADL) three times per week for both groups. Measurements of BMD and LBM by Dual­energy x­ray absorptiometry (DEXA) were collected before treatment and after three months of treatment. There was a significant difference and increase in BMD and LBM values (P<0.05) post treatment in group A compared to group B. Conclusion: BMD and LBM of pediatric patients post burn can significantly increase through participation in a supervised exercise training program. [Waffa H. Borhan, Khoweiled A. Khoweiled and Fatma elzahraa H. Kamel. Bone Mineral Density and Lean Body Mass Response to Selective Exercise Program in Burned Children. J Am Sci 2014;10(3):60­66]. (ISSN: 1545­ 1003). http://www.jofamericanscience. org. 8
AN EFFICIENT APPROACH FOR BALANCING IMBALANCE CLASS

The classification of dataset Imbalanced problem always occurs where it makes difficult for balancing data. In this paper, we used the classifier for classification with the resampling techniques and mainly focused on the minority class in which the over-sampling method is used to balance data. This will be achieving by applying SMOTE technology on minority class and generates new synthetic samples between the nearby samples from this class, but SMOTE having the overgeneralize of the minority class region as it does not reflect on division of other neighbors from the majority classes. Thus, we introduce a new generalization of SMOTE, called RaSMOTE, which is a combination of rapidly convergence and SMOTE technique. Finally, this new method will be compared with existing method and the result shows that the new RaSMOTE method improves evaluation measure for the minority class as well as increases the accuracy of the prediction of datasets.
Medical Big Data Protection using Fog Computing and Decoy Technique

--------------------------------------------------------------------- Abstract - Nowadays in hospitalities the doctors use medical data in the form of Electronic which is known as Electronic Medical Records (EMR) . It contains multimedia big data such as X-rays, ultrasounds, MRI reports etc. This medical data is kept on the healthcare cloud for the efficient storage and accessing. As the popularity of healthcare clouding increases security issues related to this also increases. The most serious issue is data theft attacks. In this paper the main focus has been given to provide security for the medical data stored in the healthcare cloud system using fog computing facility and decoy technique
paradigms-both of are at close proximities to the problem

This paper reports the development experiences and features of FULangS, a quasi, general-purpose scripting paradigm developed at the Federal University Lokoja, Nigeria as part of the requirements for a capstone course in Survey and Organization of Programming Languages during the 2016/2017 Academic Session. FULangS was written in C programming language, with the Flex/lex environment for lexical analysis, Bison/yacc for semantic analysis and Cygwin, to build and compile the flex/lex and yacc/bison files. The language is compiled for the Microsoft Windows environment, and in addition to being functional, FULangS is also an imperative computer scripting paradigm, possessing the ability to describe a sequence of steps that change the state of the computer. FULangS scripts interprets to a virtual machine and offers special feature support for stack machines and garbage collection.
A SURVEY FOR FRACTURE DETECTION IN HAND BONE X-RAY IMAGES

Medical imaging systems have been used in various medical application domains like trauma center orthopedic, pain management and vascular and non-vascular. One of the oldest and frequently used devices to capture human bones is X-ray. Computer aided bone fracture detection technique is mainly implemented to assist doctors to provide better diagnosis report. Bone fracture can occur in any part of human body such as the leg (tibia and fibula), hand (radius and ulna) and foot etc. The usage of medical images has been increasing tremendously due to a collection of thousands of medical images every day in medical institutions. Due to the increase in medical images there is a rising need of managing the data properly and accessing it accurately. Finding the correct boundary in noisy images is still a difficult task. It introduces a new edge following technique for boundary detection in noisy images. Use of the proposed technique demonstrates its application to diverse cases of medical images. The proposed technique can detect the boundaries of objects in noisy images using the information the fracture detection on the x-ray images is founded. This paper mainly discusses the computer aided diagnosis of fracture detection in human hand bone X-ray images. The proposed system has three steps. Namely, preprocessing, segmentation, and fracture detection.
COLLABORATIVE FILTERING USING FUZZY NEIGHBOUR IDENTIFICATION

: Collaborative filtering (CF) is an important and popular technology for recommender systems. However, current CF methods suffer from such problems as data sparsity, recommendation inaccuracy, and big-error in predictions. In this paper, we borrow ideas of object typicality from cognitive psychology and propose a novel typicality-based collaborative filtering recommendation method named TyCo. A distinct feature of typicality-based CF is that it finds ―neighbors‖ of users based on user typicality degrees in user groups (instead of the corated items of users, or common users of items, as in traditional CF). To the best of our knowledge, there has been no prior work on investigating CF recommendation by combining object typicality. TyCo outperforms many CF recommendation methods on recommendation accuracy (in terms of MAE) with an improvement of at least 6.35 percent in Movielens data set, especially with sparse training data (9.89 percent improvement on MAE) and has lower time cost than other CF methods. Further, it can obtain more accurate predictions with less number of big-error predictions.
Image Segmentation Techniques for Brain MRI Images: A Survey

– Brain tumor analysis from Magnetic Resonance Images (MRI) is one of the mainly challenging tasks. Brain MRI provides details of soft tissues. The image segmentation is done to simplify and to change the representation of an image into meaningful image for better analysis. The image segmentation is a very difficult job in the image processing and challenging task for clinical diagnostic tools. Accuracy in segmentation of the MRI images is extremely important and essential for the exact diagnosis by computer aided clinical tools. There are various types of segmentation algorithms for MRI brain images. This paper is to study existing approaches of current segmentation techniques in brain MRI images. This review discusses the general principle upon which Brain MR image analysis is based.
Mobility Management in Constrained Wireless Nodes: A Review

: The key aspect of IOT is interoperability, the potential of different technologies, different hardware platforms, various communication protocols, different operating systems to communicate with each other. Mobile support is required for interoperability between fixed and mobile nodes. As wireless nodes have certain limitations, like reduced power, low-energy and limited resources, attention is required while designing the mobility management scheme. The main challenge in Low Power and Mobile Network is to provide Quality of Service along with the support of mobility. In this paper, latest work in the mobility support of RPL has been discussed in detail along with their contributions and shortcomings.
Automatic Tuning Of OLSR Routing ProtocolUsing IWD in VANET

Vehicular adhoc network (VANET) provides wireless communication among vehicles without any underlying Network Infrastructure. In such Network Quality-of-service (QoS) is difficult because the network topology may change constantly and the available state information for routing is inherently imprecise. However, due to the vehicle movement, limited wireless resources and the lossy characteristics of a wireless channel, providing a reliable multihop communication in VANETs is particularly challenging. Therefore, offering an efficient routing strategy is crucial to the deployment of VANETs. In this paper, we propose Intelligent Water Drops (IWD) algorithm to optimize the parameter setting in optimized link state routing protocol (OLSR). IWD Algorithm harmonizes the parameters in OLSR for better Qos. The QoS versions of the IWD tuned OLSR routing protocol do improve the Packet Delivery Ratio, reduce the communication cost and network traffic load in the high speed movement scenarios.