Miracle-dz/UniFAR-FTUs huggingface dataset:
SECURE DEDUPLICATION OF ENCRYPTED BLOCKS OF FILES WITHOUT INDEPENDENT SERVERS

-Deduplication of files on the storage servers has been well elucidated on various solutions which used independent servers. A solution has been proposed [by Liu et al in 2015] considering client side encryption and server side deduplication and ensuring security while using a single server for the whole process. This solution was addressed at file level and had the notion to implement block level deduplication using the same deduplication protocol. We investigated the chances of implementing block level deduplication considering the single server file level deduplication scheme of Liu et al as the base protocol. Consider a humongous, publicized file with size amounting to gigabytes. If multiple users decide to modify some part of the file and upload the file to a single server availed to them, a case of data duplication occurs since multiple copies of the same file having slight modifications are stored on the server. Splitting this file into individual blocks based on size and uploading them would reduce the use of additional space, as only the modified blocks gets replicated and all other unmodified blocks can be shared by all the users. We implemented and investigated this scenario and performed a rough comparison with the file level deduplication by simulation. Both the schemes seemed to be similar.
Regulation of Bone’s Metabolic Process under Dental Implantation Procedure

Aim: increase of efficiency of dental implantation in patients with imbalance of bone remodeling processes. Material and Methods: under observation were men with osteoporosis, who applied for restoration of defects of the dentition with dental implants. Correction of bone remodeling imbalance was performed with bisphosphonates, calcium and vitamin D preparations. Before dental implantation, the state of microarchitectonics of the lower jaw was studied using cone-beam computed tomography, histomorphometry, and the state of mineral metabolism in the blood. Results and Conclusions: the success of osseointegration dental implantation in patients with bone remodeling imbalance is determined by the qualitative parameters of the bone tissue, of the receiving bed, reflecting metabolic and reparative processes. Complex antiosteoporetic therapy with bisphosphonates and calcium preparations with vitamin D helps to restore the qualitative parameters of the alveolar part and helps to optimize the processes of osteointegration.
IN VITRO CYTOTOXICITY OF ETHANOLIC LEAF EXTRACT OF ALTERNANTHERA SESSILIS (L.) R.BR. EX DC AND ALTERNANTHERA PHILOXEROIDES (MART.) GRISEB AGAINST HUMAN OSTEOSARCOMA CELL LINE MG-63

Crude ethanolic leaf extracts of Alternanthera sessilis and Alternanthera philoxeroides were examined for their anticancer activity. To determine anticancer activity, different concentrations of crude extracts were tested on MG63, a humanosteosarcoma cell-line by 3-(4, 5 dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide (MTT) assay. Alternanthera philoxeroides extract showed a significant antiproliferative activity than Alternanthera sessilis and a dose dependent effect was observed. Maximum inhibition of 67.37% was observed for Alternanthera philoxeroides and 47.7% for Alternanthera sessilis at 300μg/ml. The results indicate the possible potential use of these plants in cancer theraphy.
An Overview of Partitioning Algorithms in Clustering Techniques

 Abstract — Data Mining as an area of computer science has been gaining enormous importance in various fields of business, spatial planning and predictive analysis. Clustering techniques are application tools to analyze stored data in various fields. It is a process to partition meaningful data into useful clusters which can be understandable and has analytical value. In the present paper after giving a brief outlook of data mining and clustering techniques, we have made a comparative study of various partitioning algorithms so as to study their worth at a level playing field. The analysis shows that not all partitions algorithms are efficient to handle large datasets. The exploration of partitioning algorithms opens new vistas for further development and research.
Comprehensive study and investigation of ROS for computer vision applications using Raspberry Pi

The machine in the form of the robots has a very large community which makes impressive progress in recent trends. Progressive examples of these types of robots are land based mobile robots, quadcopters, humanoid, etc. Motion tracking and object recognition is the base process in major robotic applications. For better ﬂexibility and integration of robots with video processing applications, the ROS framework is largely used. The major issue with ROS is its latency and integrity. This paper investigates the integration of the ROS framework with OpenCV libraries on the Raspberry PI processor for video processing applications. In the proposed experiment setup, a camera node interfaced with the raspberry PI captures images and publishes it in ROS message form on a speciﬁc topic. The subscriber node converts ROS message into an image using cvbridge. Converted image is processed again using OpenCV library on the raspberry Pi board. The extracted information can be used to actuate peripheral devices interfaced with the raspberry Pi. An investigation of the raspberry Pi based implementation reveals that ROS introduces 0.63% overhead and optimum implementation on raspberry Pi can avoid the high conﬁgured computer and raspbeery Pi can process the video at 13 frames per second at most.
Two-Level Text Summarization with Sentiment Analysis for Multi-Document Summarization

 Abstract : Text summarization is way of reducing the text content of a document without the losing any information. People are likely to look multiple documents on a single topic because a one document may not include all the major details. The abstract/summary of multiple documents connected to a text will conserve the effort and time. Automatic text summarization is one of the area of natural language processing. Sentiment analysis is a machine learning method in which machine study and inspect the sentiments, opinions, etc about reviews about movies or products. This is extremely hard summarize by human. effective data from the very large document. In this research, we propose a novel method for multiple document summarizations using extractive method of summarization and sentiment analysis from online sources. At first, various document’s URLs are fetched as input relate to a text and generate individual summaries. The sentiment analysis is tried on these generated separate summaries. The sentiment analysis says that whether these input documents have any dissimilar opinion about the topic. Lastly, a unique summary is generated from all these first level summaries. The performance of our proposed method evaluated by ROUGE metric.
ANTI-HYPERLIPIDEMIC ACTIVITY OF CHLOROFORM FRACTION OF CAMELLIA SINENSIS LEAF

Camellia sinensis leaves contain the phytochemicals which plays duel benefits as medicinal values and food value. The green tea may contribute to a reduction in the risk of cardiovascular disease and some forms of cancer, as well as to the promotion of oral health and other physiological functions such as antihypertensive effect, body weight control, antibacterial and antiviral activity, bone mineral density increase, antifibrotic properties and neuroprotective power . Increasing interest in its health benefits has led to the inclusion of green tea in the group of beverages with functional properties. The research interest based on tea components may provide an approach to decrease the incidence of and mortality from various diseases. Overall tea is an affordable beverage of natural origin compared to modern beverages such as soft drinks. By performing the above work, it can be concluded that the leaf extracts of Camellia sinensis possess antihyperlipidemic effect by controlling lipid levels. Present study is the leaf extracts of Camellia sinensis possess anti-hyperlipidemic effect by controlling lipid levels. Since the effect of drugs was highly beneficial without any side effects, the research about the camellia sinensis can be further extrapolated to the humans for the service of our society.
A Survey on Malicious and Selfish Nodes in Mobile Ad Hoc Networks

MANETs are alluring innovation for some applications, for example, salvages operations, strategic operations, ecological observing, meetings, and so forth. Notwithstanding, performing system capacities devours vitality and different assets. To spare its vitality a hub may carry on egotistically and uses the sending administration of different nodes without effectively can extremely corrupt the execution at the steering layer. In particular, nodes may take an interest in the course disclosure and support transform yet decline to forward information parcels. In this overview different routines for recognizing egotistical nodes are talked about with their key focal points. In addition a standout amongst the most essential perspectives is to propose particular conduct design creation that would let to assess neighbour conduct; I reviewed the key calculations for developing conduct design for the neighboring nodes in MANETs. In the literature there are many methods which deal with the selfish behaviour of the nodes. This paper compares different methods available for reducing the effect of selfish nodes in mobile ad hoc networks.
A BFO Based Rule Mining Approach for Diabetic Patient Identification

: Medical Disease Prediction is the major and critical data mining application area comes under expert system. This application area requires identifying the critical rules to predict the medical disease. In this paper, A BFO integrated rule mining model is presented to identify the diabetic prediction. The presented model has performed the rule filtration and rule pruning to identify the disease possibility. The experimentation results show that the effective identification of diabetic disease is obtained from the algorithmic approach.
Using Nano-Arrayed Structures in Sol-Gel Derived Mn Doped Tio

Application of nanoscale materials for electrochemical biosensors has been grown exponentially due to high sensitivity and fast response time [1,2]. In these applications, effective immobilization of biomolecules without altering bioactivity is the key in construction of stable and well-structured electrode materials for biosensor platform [3]. These factors eventually controlled by the interaction effectiveness and determine selectivity and sensitivity of materials for potential application in the area of biomedical diagnosis [4,5]. This demonstrates the need of tailoring architecture of electrode materials to develop heterogeneity which could provide multifunction for functionalized electrode materials for biological applications [6].
Deep Reinforcement Learning Framework for Navigation in Autonomous Driving

— Reinforcement Learning resides in the scope of Machine Learning which allows software agents and machine to automatically manipulate the behavior of a specific environment and perform accordingly. The success of Atari games has proved the influence of RL in gaming environments. From the inspiration of the success in RL induced games, the idea of a car that runs automatically has become the goal of Reinforcement Learning. The purpose of this paper is to provide idea of how Reinforcement Learning can be implemented for the purpose of navigation in autonomous car in game environment that is the proposed work here. The classification of the images which are the primary dataset is done by Convolutional Neural Network (CNN). The purpose of this work is to implement navigation in autonomous car using MXNet, an open source reinforcement learning framework which is primarily used to train and deploy deep neural networks. In assistance with the Beta simulator made by the open source driving simulator called UDACITY is used for the training of the autonomous vehicle agent in the simulator environment. The agent here is a car that navigates without driver intervention and proceeds to move autonomously by learning thoroughly about the environment surroundings
Potential Applications and Development of Cell Metabolomics in Natural Products

Natural products play a vital role in drug discovery. Metabolomics, the systematic analysis of small molecular metabolites in biological systems, has been increasingly applied to discovering biomarkers, identifying perturbed pathways and discovering new drugs. It enables the examination and identification of endogenous biochemical reaction products occurring within a living cell. Cell metabolomics has many potential applications and advantages to currently used methods at various aspects in the natural product era. This review covers recent developments in the use of metabonomics to characterize cellular metabolome and interpret them in terms of metabolic changes taking place in a wide range of situations, especially, highlights the key roles of the endogenous small-molecule metabolites in the natural product field. Potential Applications and Development of Cell Metabolomics in Natural Products
Curing Of Diabetes Mellitus by Stem Cell Therapy: A Review

Diabetes, a common well known disease world wide. This is one type of disorder of metabolism. The main cause of diabetes is the malfunction of pancreatic beta cells, which maintain a significant role of body’s glucose level concentration controlling. Several medications techniques were taken into account previously for the curing purpose of diabetes. But no effective and ultimate results were found. So, there is a demand for alternative therapeutic techniques. Due to increase in numbers of patients day by day worldwide shows an attitude to recent approach ,like insulin (exogenous). Due to lack of much numbers of pancreas donor, technique which is based on stem cell therapy has been taken into account. Stem cells have great poliferation characteristics which act as the mine of islets progenitor cells. Which can re synthesize the insulin. These cells exhibit sensitivity to glucose. There is a frequency around 415 million people suffer from this disease world wide. Beta cells are generally destroyed in type 1 and beta cell numbers are down by 40% to 60% in in type 2 diabetes. This article focus on current study on stem cell therapy for curing of diabetes mellitus.
V Mirror Nuclei

Coulomb Displacement Energies in mirror nuclei Mg, Na and Cr, V have been calculated using shell model code OXBASH [1] and compared with experimental results. The calculations were carried out in the USD model space with the W Hamiltonian [2]. This code which is based on one of the most applicable nuclear models, the shell model, deals with evaluating energy levels in nuclei. A comparison had been made between computational results in this paper and the available experimental data to test theoretical shell model description of nuclear structure in mirror nuclei. The energy states of mirror nuclei are almost identical, except for the small effects due to Coulomb interaction where the symmetry in being broken. The calculated energy spectrum is in good agreement with the available experimental data.
Scientific motivations and criteria to consider updating EFSA scientific assessments

Abstract EFSA is committed to assess and communicate the risks occurring in the food and feed chain from farm to fork and to provide other forms of scientific advice. This work, carried out by EFSA since its inception, has resulted in the adoption of thousands of scientific assessments. EFSA is obliged to re‐assess past assessments in specific regulatory contexts such as those on food and feed additives, active substances in plant protection products and genetically modified food and feed. In other sectors, the consideration for updating past EFSA scientific assessments is taken on an ad hoc basis mainly depending on specific requests by risk managers or on EFSA self‐tasking. If safety is potentially at stake in any area within EFSA's remit, the readiness to update past scientific assessments is important to keep EFSA at the forefront of science and to promote an effective risk assessment. Although this task might be very complex and resource demanding, it is fundamental to EFSA's mission. The present EFSA Scientific Committee opinion deals with scientific motivations and criteria to contribute to the timely updating of EFSA scientific assessments. It is recognised that the decision for updating should be agreed following careful consideration of all the relevant elements by the EFSA management, in collaboration with risk managers and stakeholders. The present opinion addresses the scientific approaches through which it would be possible for EFSA to increase the speed and effectiveness of the acquisition of new data, as well as, to improve the consequent evaluations to assess the relevance and reliability of new data in the context of contributing to the better definition of whether to update past scientific assessments.
Image Compression Using New Wavelet Bi-Orthogonal Filter Coefficients by SPIHT algorithm

: In recent years there has been a tremendous increase in the usage of computers for a variety of tasks. With the advent of digital cameras, one of the most common uses has been the storage, manipulation, and transfer of digital images. The files that comprise these images, however, it can be quite large and can quickly take up precious memory space on the computer’s hard drive. In multimedia application, most of the images are in color. And color images contain lot of data redundancy and require a large amount of storage space. In thispaper new wavelet bi-orthogonal filter coefficients for wavelet decomposition and reconstruction of image are introduced for better compression of color images, when the image is compressed by using these filter coefficient in DWT-SPIHT schema then it perform better than DWT-SPIHT schema with wavelet 9/7 filter. The compression result by using these filter coefficient will be compared with PSNR and MSE parameters .
Case Study and Phytochemical Investigation of Zanthoxylum zanthoxyloids and Zanthoxylum macrophylum (Rutaceae) in the Central African Republic and Togo: A Comparative Approach

The study carried out on Z. zanthoxyloids and Z. macrophylum, lays on the program of valorizing phytogenetical resources. It covers monographic and phytochemical study. Inner uses of these resources show as well their importance on the scale of such African countries as Nigeria, Togo, Congo, Ivory Coast, Central African Republic, Benin, Senegal and Mali. Z. macrophylum is the most used species in the treatment of rheumatism. Over all the inner practices, Z. zanthoxyloids is the most used species. Analysis in multiple correspondences (AMC) with a partial contribution of 80% shows that there is a correlation of uses over all countries, except Senegal that has specific uses. Total extracts obtains from the two specific species from the Central African and Togolese flora have various yielding according to different organs. The most important proportions are that Z. macrophylum barks from Togo (20%); Z. zanthoxyloids barks from the Central African Republic (19%); Z. zanthoxyloids barks from Togo (17%) and Z. macrophylum barks and roots from the Central African Republic (16%). The issues of phytochemical tests showed the presence of alkaloids, of tannins, of flavonoids and saponosids in the organs of the two species. Meanwhile, one notices that : there is a total lack of alcaloids in the level of barks; the absence of saponisides in the level of Togolese and Central African Z. macrophylum leaves; tannins are also absent in the barks of Central African Z. zanthoxyloids barks and Togolese Zanthoxylum macrophylum roots. These differences in components according to Togolese and Central African Republic can be explained by chemotics which in a variety of in chemical components due to specific environmental factors of each milieu.
A Fuel Cell based Hybrid Boost Three-Level DC–DC Converter With High Voltage Gain

The demands of FC technology with high performance is very interesting alternative on supplement the electric system generation, due to the persistent cost reduction of the overall system a lot of works have been done during the design and implementation of high efficiency DC-DC converters applicable in FC . This paper proposes for improving the power-conversion efficiency and to obtain high voltage gain by reducing voltage stresses at a switch node of boost converter by using snubber cell which consists of inductors, capacitor, as well as diodes. In the proposed converter, two inductors with same level of inductance are charged in parallel during the switch –on period and are discharged in series during the switch-off period. Finally the improved boost converter topology results have shown in matlab
Review Update on Pneumococcal Conjugate Vaccine: A New Hope for Reduction of Pneumococcal Disease in Bangladesh

Pneumococcal diseases are the common and widely distributed disease in the world. It causes various mortality and morbidity every year, mainly in the developing countries. Pneumococcal conjugate vaccine (PCV) is the new vaccine against all invasive pneumococcal diseases. PCV10 and PCV13 are the available preparation in worldwide. It is safe, highly antigenic and minimal side effects. In Bangladesh, PCV is included in EPI schedule from April 2015. The current preparation is Synforix PCV10, which is given intramuscularly with the pentavalent vaccine in EPI schedule. In conclusion, the assessment of PCV impact in Bangladesh requires national and regional level surveillance and the introduction of PCV in EPI will reduce the mortality and morbidity of the pneumococcal disease. Bangladesh J Infect Dis 2015;2(1):19-22
Nanofibers : Potential applications in wound care management

Dept. of Pharmaceutics, St James College of Pharmaceutical sciences, Chalakudy, Kerala Dept. of Pharmaceutical analysis, St James College of Pharmaceutical sciences, Chalakudy, Kerala Dept. of Pharmaceutical Chemistry, St James College of Pharmaceutical sciences, Chalakudy, Kerala Dept. of Pharmacy Practice, St James College of Pharmaceutical sciences, Chalakudy, Kerala Dept. of Pharmaceutical Chemistry, PSG College of Pharmacy, Coimbatore Dept. of Pharmacy Practice, International Medical University, Malaysia *Corresponding author & Email: Dr. Dineshkumar B, dinsbiotech@gmail.com, stjamespharmacyproject@gmail.com
Inversion ofcomplex Neural Network

: This paper presents a novel application of complex neural network which has been modeled by the implementation of gradient descent inversion algorithm in complex domain. The methods reported prior to this work were limited to real domain only. By the learning of function mapping in complex domain, the performance of neural network has been analyzed. An improved performance of complex neural network has resulted in the development of a Novel Complex Neuron Model.
Health practitioner regulation national law act 2009: Attitudes and compliance of the chiropractic profession one year on

The Health Practitioner regulation National Law Act was implemented in 2010, and brought with it the Australian Health Practitioner Agency and the Chiropractic board of Australia. this resulted in the production of a new National Chiropractic Code of Conduct. aim of this study was to assess the attitudes and compliance of the chiropractic profession to these changes one year on. was achieved by a cross sectional survey of both the Chiropractic Association of Australia and Chiropractic and Osteopathic College of Australia members. results indicate that participating chiropractors are generally compliant towards and supportive of most of the requirements within the National Chiropractic Code of Conduct. study serves to inform the chiropractic profession of their ethical and legal obligations, and as a comparison for future studies.