Miracle-dz/UniFAR-FTUs huggingface dataset:
In vitro studies of antibacterial and antioxidant activity of Ipomoea pes-caprae root extracts

To evaluate the antibacterial and antioxidant activity of Ipomoea pes-caprae root (belonging to the family of Convolvulaceae) was studied in five different solvents. Antibacterial activity was determined using well diffusion assay for eight strains of bacteria. Minimum inhibitory concentrations were determined in eight bacterial strains by agar well diffusion assay. Other focuses included the determination of antioxidant activity using DPPH assay and IC50 (Inhibitory concentration) values were also determined using broth dilution assay. Preliminary phytochemical screening of the crude extracts revealed the presence of alkaloids, flavonoids, tannins, saponins and phenolics. The presence of these bioactive constituents is associated with the antibacterial activity of the plant. Methanol extracts of I.pes-caprae exhibited highest inhibition zone of 17mm, 18mm and 21mm against Klebsiella pnemoniae, Escherichia coli, and Bacillus subtills. During DPPH assay of methanol extract of I.pes-caprae root shows highest antioxidant activity of 92.04% in 200(μg/ml). The results confirm that I.pes-capra roots can be used as source of drugs to fight infections caused by susceptible bacteria.
Mining Frequent Sequential Patterns and Top Rules from Large Uncertain Database

- Data mining play very important role in mining useful knowledge from Wireless Sensor Network. In Today’s real world environment, most of the databases such as weather database, RFID, stock market analysis are uncertain as it may contain random and noisy values because of some faulty nodes. The uncertainty in database can be handle with the help of U-PrefixSpan algorithm. This algorithm is applied on the database for finding out the frequent sequential patterns by providing the minimum support. As Database is very large, the number of frequent sequential patterns is also large which is difficult to study. Hence there is need to apply the Top K Rule Mining algorithm on the generated frequent sequential patterns to obtain the top K rules. According to the generated rules the prediction can be done. The result and analysis show that the U-PrefixSpan takes more time for execution than Top K rule mining algorithm.
KNOWLEDGE REGARDING PUERPERAL SEPSIS AND ITS PREVENTION AMONG POSTNATAL MOTHERS IN SELECTED HOSPITALS OF BHAVNAGAR

Puerperal sepsis is an infection which arises from bacterial invasion of the genital organs during puerperial period. The objectives of the study was to assess the pre test and post test level of knowledge regarding puerperal sepsis among post natal mothers and to evaluate effectiveness of structured teaching programme and to find association between pre test knowledge scores with selected socio demographic variables. Non-experimental research approach with one group pretest posttest research design,” was used. The Sample comprised of 60 postnatal mothers who were diagnosed with puerperial sepsis in Sir.T hospital of Bhavnagar city selected through nonprobability convenient sampling method. Major findings of the study showed that , majority of post-natal mothers were from the age group 23 yrs to 27 years (46.66%). The majority samples (70%) were Hindus. Majority of (60%) mothers had primary education. The level of knowledge revealed that the majority 65% of mothers in pre-test of experimental group were having average knowledge score(814), where in post-test majority 63.33% of the mothers had a average knowledge score(8-14) and 36.66% of mothers were having good (15-22) knowledge score, which indicates that the STP was effective. The findings on relationship of selected variable of post natal mothers show that there is a significant association between age, religion, educational status, type of family, Residential area, monthly income, Parity, Source of information with knowledge on puerperal sepsis and its prevention. Thus, H2 was accepted. The calculate ‘p’ value is 0.000 at 0.005 level of significance which means that H0 is rejected and H1 is accepted. The study has provided the importance of having a midwifery nurse, who would place more importance on preventive, promotive and curative care.
Smart Book Recommendation System For Library Books: LibX

— General recommendation systems are used to suggest appropriate items to the users. The book recommendation systems analyze the content of the book or reviews of readers to suggest apt choice for the user. Book recommendation systems are used to suggest a novice user with the right choice and also simplify the complex decision making process by extracting information from the knowledge base. These systems implement automation which reduce existing workload on the current organization and at the same time create a knowledge base which very useful for information extraction. LibX - An Automated Bibliotheca is basically a book recommendation system which will be used by students and staff to access the library facility such as books and papers and exam notes. It will provide the best of reference books through recommendation and feedback by others. Recommender systems help in automating and making decisions based on the collective knowledge and lay the foundation of solving decision based approaches in the future on various streams from information technology to robotics.
MOBILITY MODELS IN WIRELESS AD-HOC NETWORK:A SIMULATIVE STUDY

-There are several research works that have studied the impact of mobility models based on the routing protocols in ad hoc networking. This paper presents, an important comparative studies were devoted to develop performance of mobility models correct for estimating the show of Wireless Ad Hoc Network. The routing protocols commonly used such as DSR for performance evaluation. The commonly used mobility models are Random Way Point (RWP), and Simple Human Mobility Model Typical performance metrics used are Packet Delivery Ratio (PDR), end to end delay and throughput for mobility models. Almost all research works have used NS-2 as a simulation tool.
LINEARIZATION OF CASCADED BUCK CONVERTER

The present work deals with the modeling and the stability analysis of the cascaded converters. When a converter tightly regulates its output, it behaves as a constant power load (CPL). The problem of CPLs is that they show negative incremental resistance that causes instability in the system because the control to output transfer function possessed a RHP pole. Hence the CPL has been modeled and linearized to study its effect on the source converter. The effect of the introduction of small resistance in series with inductor of source converter on the stability was analyzed. Also the compensation on the basis of the passive components i.e. Snubbers were designed so as to reduce the power dissipation due to the resistance.
MULTISCALE PHASE CONGRUENCY IMAGE FUSION SCHEME FOR INFRARED IMAGE AND VISIBLE IMAGE

: In this paper, a novel multiscale image fusion methodology for infrared image and visible image is proposed. The phase congruency (PC), which is a dimensionless measurement of the local structures of an image, is used as the feature for multiscale pyramid decomposition. Following the existing multiscale image fusion schemes, the source images are firstly decomposed by multiscale PC pyramid transform. The decomposed PC images of each scale are then combined into one image by a perceptual fusion operator. Finally, the fused image is reconstructed by inverse PC pyramid transform. The proposed method is compared with the state-of-the-art image fusion methods by merging parallel visible and infrared images. The experimental results demonstrate the better fusion performance of the proposed method.
Adsorption studies on water hardness removal by using moringa oleifera seed pod husk activated carbon as an adsorbent

Copyright: © Author, This is an open access article under the terms of the Creative Commons Attribution-Non-Commercial No Derives License, which permits use and distribution in any medium, provided the original work is properly cited, the use is noncommercial and no modifications or adaptations are made. Moringa oleifera seed pod husk Activated Carbon was utilized as an adsorbent to remove water hardness ions from hard water. The effect of pH, adsorbent dosage, initial concentrations, contact time, and temperature were investigated using batch adsorption experiments. Characterization of adsorbent was identified by FTIR and XRD techniques. The pH dependence study of the adsorption process revealed that maximum pH for hardness removal was 8 with efficiency of 59%. Temperature study reveals that the adsorption is endothermic as efficiency increases with the increase in temperature. The adsorption of hardness ions on Moringa oleifera seed pod husk activated carbon shows that the removal efficiency increases with increase in contact time and also increased as adsorbent dosage increases from 1gm/50ml to 5gm/50m. The study showed that the method is a simple and efficient one to remove calcium and magnesium hardness from hard water solutions and adsorbent had the potential for hard water softening.
Exercise versus Estrogen Therapy in Osteoporotic Postmenopausal Women with Endothelial Dysfunction

Both exercise and estrogen augments bone metabolism and endothelial function in postmenopausal women. Osteoprotegrin (OPG) appears to represent the molecular link between bone resorption and vascular calcification.This study was conducted to determine the effects of acute bouts of dynamic exercise and oral estrogen on serum osteoprotegrin (OPG) and endothelial dependent flow mediated dilatation of brachial artery (FMD); to assess if these two interventions independently or together achieve same improvement and finally to find any relation between OPG and FMD. Twenty early osteoporotic postmenopausal women with endothelial dysfunction, their mean age (53±9 years) and 20 healthy premenopausal female controls with mean age (29±2 years) were included. All subjects were subjected to assessment of OPG and FMD before the beginning of the study. Then OPG and FMD were quantified after 60 minutes of treadmill exercise for one hour, this protocol was repeated after 4 weeks of oral estrogen therapy . We found that serum OPG was elevated significantly in postmenopausal women after exercise( post-ex) approximating double baseline value (4.8±0.3 vs 2.9±0.3). There was a significant difference between OPG level post exercise and estrogen (post ex-est) vs post estrogen (post-est) alone (5.3±0.2 vs 4.3±0.2) while there was no significant difference between post exercise (post-ex) versus post-est (4.8±0.3 vs 4.3±0.2). Regarding FMD there was a significant difference between post-ex vs baseline (11.4±0.4 vs 6.1±0.5), post-est vs baseline (11.5±1.5 vs 6.1±0.5), also between post ex-est and baseline value (10.5±1.6 vs 6.1±0.5) , while there was no significant difference between all interventions . Our results suggested that both exercise and estrogen augment bone metabolism and vascular reactivity to nearly equal values. So, this study reinforces the importance of exercise as a non pharmacological and alternative to oral estrogen in postmenopausal women and consider exercise as one of the mechanisms that protect against osteoporosis and atherosclerosis. [Journal of American Science 2010;6(10):1013-1018]. (ISSN: 1545-1003).
Analysis of Cloud Components & study on Scheduling Framework in Local Resource

- Cloud computing is the use of scheduling algorithm that are delivered as a service over a network high performance computing based on cloud resources which allow storage many tasks requires to be executed by the available resources to achieve best performance. We investigate the problem of cost time scheduling algorithm for cloud components in local system. Unlimited resources scaling of cloud computing is considered a pay as you go model is challenged to guarantee the application of reasonable cost for cloud components and local resources. Compare to previous system our analysis built the combination between the computing resources on cloud computing and the computing components in the local systems and provides the balance between performance of application schedule and cost for the use of cloud resources.
Energy Optimization using Neighbour Coverage Based Rebroadcast and Rebroadcast Probability in MANET

: In Manet broadcasting is a Major and effective data dissemination mechanism for route discovery, address resolution and many other network services in ad hoc networks. While data broadcasting has many advantages, it also causes some problems such as the broadcast storm problem, which is characterized by redundant retransmission, collision, and contention. We propose a novel scheme to calculate the rebroadcast delay. The rebroadcast delay is to determine the forwarding order. The node which has more common neighbours and more energy with the previous node has the lower delay. If this node rebroadcasts a packet, then more common neighbours will know this fact. Therefore, this rebroadcast delay enables the information that the nodes have transmitted the packet spread to more neighbours, which is the key to success for the proposed scheme. This protocol is implemented over the MANET network and simulated using Network Simulator (NS2). This work contributes a nodes having highest energy will broadcast the RREQ packets to its neighbours. Performance of the proposed system evaluated based on the parameters such as normalized routing overhead, Packet delivery ratio and Average end-to-end delay.
Source Camera Based Image Retrieval From Internet Using Simplified Total Variation

: Retrieving pictures from large collections according to a specific criterion is an increasingly relevant task. An important, but so far overlooked, such criterion is the retrieval of pictures acquired by a specific camera. Content primarily based image retrieval may be an ancient approach for retrieving images. The most important task is that the retrieval of pictures matching specific criterion. A vital however to this point unmarked, such criterion is that the retrieval of images captured by a specific camera device. Photo Response Non-Uniformity (PRNU) of the camera sensor is employed to retrieve image taken by specific camera. Sensing element imperfections in the form of photo response non-uniformity (PRNU) patterns area unit a well established fingerprinting technique to link footage to the camera sensors that acquired them. As PRNU pattern have constant size as imaging sensing element, massive scale image retrieval is a very difficult task. In our proposed work PRNU Extraction is done by Simplified total variation algorithm as shown in paper. To influence retrieving on massive scale PRNU pattern is compressed exploitation Random Projection. A system comprises four components crawling pictures from Internet, Extracting PRNU from pictures, Compression of PRNU fingerprints, and fingerprint matching. A performance of system is analyzed on dresden image database. A result shows that proposed approach is relatively faster than state of art method.
File Replication and Consistency Maintenance in the Hadoop cluster using IRM Technique

— Storage systems are very important and basic building blocks for cloud computing technology. High performance storage servers are the better solution for cloud storage; the implementation of storage system at very low cost is a big issue. To solve this problem, the very efficient and cost effective way of storing data is to form the cluster of commodity computers. Hadoop Distributed File System (HDFS) is freeware software whose source code is freely available for cloud and it can be deployed in low-cost hardware. Cloud Storage system using the cluster computing can be build with HDFS by making optimized replication management scheme. Hadoop maintains multiple Replicas of each data file. Hadoop is using the Triplication (three replica of each block) policy to replicate the data within the cluster by using this policy the Hadoop guarantees data availability and fault tolerance. We have observed there is some large amount of data is located within the clusters which is not being used frequently and I came across the point that maintaining the three replicas of such file is not much important. It leads to poor utilization of storage space. I have read several papers of other file system and decide to implement new way of the replication called “ IRM for cloud” which will create the replica of only those file that are to be needed very frequently and keeping the replica on the requesting node may decrease access time and guarantees the full utilization of the storage space. This system provides optimal replica number as well as minimizes the access time required for the nodes to access replicas by placing the data blocks at the requesting node.
Evaluation of Chromosome Aberration and its Correlation with GSTM1 Gene Polymorphism in Women Bidi Rollers of Madhya Pradesh

Evaluation of Chromosome Aberration and its Correlation with GSTM1 Gene Polymorphism in Women Bidi Rollers of Madhya Pradesh Daya Shankar Gautam 1, , Asha Khanna , AjitPratap Singh , Rita Bhandari 4 *Department of Zoology, St. Aloysius College (Autonomous), Jabalpur (M. P.), India 2 Department of Zoology & Biotechnology, Govt. Model Science College (Autonomous), Jabalpur (M. P.), India Animal Biotechnology Centre,Nanaji Deshmukh Veterinary Science University,Jabalpur, (M. P.), India 4 Department. of Zoology, Govt. OFK College, Khamariya, Jabalpur (M. P.), India
PD CONTROLLER BASED UNMANNED SHIP NAVIGATION

For the improvement of the performance of track keeping of unmanned water vehicle numerous ship models, wave disturbances models and distinct control algorithms has been proposed. Researchers are using variants of PID controllers, Adaptive controllers and Predictive controllers for accurate trajectory control. Being simpler in nature still PID controller are popular in control domain. In this paper we have implemented PD based controller for trajectory control of unmanned vehicle considering all standard models of sea disturbances. Analysis of result obtained using PD control proved that path tracking is more accurate than open loop controller in terms of computation time, complexity and fuel consumption.
A Y-Shaped Planar Monopole Antenna for Wide Band Applications

A Y shaped monopole utilizing a modified notch in the ground is presented. The monopole is developed from a triangular monopole and has increased the impedance bandwidth from ~550MHz to ~6GHz for reflection coefficient less than -10dB. Since the antenna shows a bandwidth ratio of 3.9:1, it can be considered as an Ultra Wide Band antenna. Use of stepped notch under feed line provides here the better impedance matching and increased bandwidth. We use ANSOFT High Frequency Structure Simulator (ANSOFT HFSS 13.0) which uses Finite Element Method (FEM) for its processing. The monopole is fabricated on FR4 epoxy dielectric substrate and both simulated and measured results are found to be in agreement.
PATTERN OF PSYCHOTROPIC PRESCRIPTION IN A TERTIARY CARE TEACHING HOSPITAL: A CRITICAL ANALYSIS

Objectives: (1) To study the prescription pattern of psychotropic drugs amongst patients attending the psychiatry outpatient department (OPD) in a tertiary care hospital, Mandya, (2) to evaluate patterns and recent trends in psychotropic polypharmacy. Methods: This was a prospective, cross-sectional and observational study, done over 8 weeks, among patients attending psychiatry OPD. The most recent prescribed psychopharmacological medication of the patients were collected in a standard proforma and analyzed according to World Health Organization (WHO) prescription indicators. Descriptive statistics such as frequency, percentage, mean, and standard deviation were used wherever appropriate. Results: A total of 405 prescriptions were evaluated. Anti-epileptics (22.9%), antidepressants (19.7%) and antipsychotics (11.0%) were the commonly advocated drug groups in more than half of prescriptions. Phenobarbitone (30.2%), escitalopram (27.9%), and risperidone (48.9%) were commonly used drugs among anti-epileptics, antidepressants, and antipsychotics, respectively. Nutraceuticals constituted 8.7% of total drugs. Percentage of drugs prescribed by generic name was 54.9%. Polypharmacy was prevalent in 2.7% of prescriptions. Percentage of drugs prescribed as fixed-dose combination was 21%. Conclusion: The WHO guidelines regarding prescription of drugs were followed consistently. The issue of prescribing by brand names need to be addressed. Polypharmacy was advocated for negligible number of subjects and the reasons were justifiable.
SERVICE MODELS IN MOBILE CLOUD COMPUTING

: Mobile Cloud Computing (MCC) which combines mobile computing and cloud computing, has become one of the industry buzz words and a major discussion thread in the IT world since 2009. As MCC is still at the early stage of development, it is necessary to grasp a thorough understanding of the technology in order to point out the direction of future research. This paper gives a survey of cloud computing and mobile cloud computing services models and differences issues.
Influenza Virus Serology at the Human-Animal Interface : From black and white to shades of grey

markdownabstractZoonoses, i.e. diseases that are transmissible from animals to humans, have received increasing scientific and public attention in recent years. A comprehensive literature review identified 60% of human pathogens as zoonotic, of which 12% constitute so-called ‘emerging infectious diseases’. This term denotes previously unknown diseases that cause outbreaks or known diseases that cause significantly more infections in humans today than in the past two decades. This thesis investigates animal influenza viruses as a topical example of zoonotic, emerging infectious diseases. I argue that surveillance at the human-animal interface can be improved by implementing novel serological screening tools. Furthermore, I will recommend that a One Health-based surveillance system, spanning both human and animal health, needs to be put in place.
Text Classification of CrowdSourced Data Using Parallel Computing Nested Baye’s Classifier

: Text classification has drawn attention due to the vast applicability in language identification, spam filtering, genre classification, sentiment analysis, readability assessment, article triage etc. With the goal of classifying crowdsourced data which is gathered from many websites into text classification, Crowdsourced data classification has challenges in getting data from various sources and whatever the data we are getting is huge in amount. Our approach will address challenges to classify the crowdsourced data in parallel computing in which many calculations are carried out simultaneously so that the crowdsourced data will be divided into tree format and calculations will be done simultaneously using nested baye’s classifier. Our aim is to classify the algorithms which are obtained using web crawler and will be converted into programmes using nested baye’s classifier technique.
Emotional Intelligence, Anger and Coping Strategy among Chronic Kidney Disease Patients

The aim of the study was to study the emotional intelligence, anger and coping strategy among chronic kidney (CKD) disease patients. A sample of 60 (30 male, 30 female) selected from various hospitals of Pune city. The tools used for the study were Emotional intelligence scale (Thingujam and Ram, 2000), STAXI-II (Speilberger, 1999) and Ways of coping questionnaire (Lazarus and Folkman, 1988). After the data collection statistical analysis was done by Pearson product-moment correlation and‘t test’. The result found that there is a negative correlation between emotional intelligence and trait anger. It also found a positive correlation between problem focused coping and emotional intelligence. This study also suggested that female patients are higher on emotional intelligence and problem focused coping strategy than male patients. The findings of the study could provide a better understanding of chronic kidney patients’ mental state and their well-being.