Miracle-dz/UniFAR-FTUs huggingface dataset:
Loose Method for Pattern Classification in Wikipedia using Duality Theorem for Knowledge Acquisition in Neigbouring Words

In this paper, we present an approach for structural classification of taxonomies for knowledge acquisition from Wikipedia using standard loose frameworks. Knowledge mapped from WordNet are assigned to corresponding patterns in Wikipedia such that the syse structure are automatically acquired for related patterns and then used for knowledge generation, achievable through Learning. The paper considers the theory of duality principle as posed in Hilbert spaces to describe the operation of two terms related by their linguistic classifications such as hyponyms. Results show that knowledge can be acquired with well formulated pattern, however a lot of gaps still exist which can be solved using manual approaches as that seems to be more efficient based on the experiment conducted. General Terms Wikipedia, Taxonomy, Classification, WordNet
Multi-User Tool for Scientific Work Flow Composition

-Scientists with diverse expertise and located in different geographical locations may work together in order to achieve desired results. This collaboration is required in modern society as skill set required are spread multiple scientists. In order to utilize the diversified skills associated with human experts, it is essential to have a mechanism to share the skills and work in scientific inventions in collaborative fashion. In this context it is important to have a scientific workflow for automated communication and data management among the scientists involved in the collaboration. Many existing work benches are providing single user flows. They lack in providing multi-user environment where many scientists can work collaboratively. Recently Zhang et al. proposed a novel tool that facilitates collaborative scientific workflow among multiple scientists. The tool allows collaborative scientific workflow among scientists. In this paper we implement such tool practically as a prototype. The experimental results revealed that the tool is effective in providing workflow for scientific collaborations.
Intelligent patient monitoring for QRS detection

Abstract: Today heart disease and complications related to it is one of the major causes of death around the world, so, in medical field it’s very important to detect the irregularities in the rhythms of heart . In this paper we present a development platform for portable real-time analysis of ECG signals which can be used as an advanced warning device, using android based mobile phone. This paper also discusses an ECG data acquisition unit, with an emphasis on the software for analyzing the ECG signals, and the algorithm of analyzing and detecting cardiac conditions for “Tachycardia” type – the most common kind of cardiac abnormality.
Proteolytic disintegration of myofibrillar proteins has an adverse effect on gel-forming properties of surimi. The breakdown of myofibrillar proteins inhibits the development

Effects of protein isolate from mung bean (MBPI), black bean (BBPI) and bambara groundnut (BGPI) at different levels (0-1.5%, w/w) on autolysis and gel properties of sardine (Sardinella albella) surimi were evaluated. Breaking force and deformation of both kamaboko (40/90 °C) and modori (65/90 °C) gels increased with increasing MBPI, BBPI and BGPI levels (P<0.05). When MBPI or BBPI or BGPI at a level of 1.5% was incorporated, breaking force of kamaboko and modori gels increased by 22.4-76.8, 24.9-95.3 and 90.0-135.3%, while deformation increased by 11.6-31.3, 13.1-42.7 and 26.4-61.39%, respectively. This was coincidental with lowered TCA-soluble peptide content. Myosin heavy chain (MHC) of modori gel was more retained as MBPI, BBPI and BGPI concentrations increased. The concomitant increase in water-holding capacity of resulting gel was obtained; however, the whiteness was slightly decreased (P<0.05). The microstructure study reveal that modori gel added with MBPI or BBPI or BGPI at 1.5% were comparatively denser and more ordered than without protein isolate. Generally BGPI exhibited the superior gel enhancing effect than BBPI and MBPI, regardless of level added. Therefore, BGPI at an appropriate level could be an alternative food grade protein additive to improve gel properties of surimi. Keywords—Autolysis, Legume seeds, Protein isolates, Sardine, Surimi gel, Texture analysis
Lecturers’ Perspectives of Knowledge Integration at South African Universities

A qualitative case study was conducted at six purposively sampled universities; out of a population of approximately 23 universities. This sampling strategy was based on selecting some universities that became Universities of Technology during the process of merging Higher Education Institutions (HEIs) while other universities kept their identity; currently being referred to as Traditional Universities. In-depth interviews and analysis of curriculum documents were used as sources of data acquisition to address the aim and questions explored by this study explored; necessitated by the need to implement Minimum Requirements for Teaching Education Qualification (MRTEQ) policy guidelines. The sampled universities’ identities were concealed and pseudonyms were assigned to participants for ethical reasons. Qualitative methods were applied for data analysis. Findings revealed that for some institutions’ integration of sub-disciples of science curriculum led to contestations and debates resulting from different philosophical perceptions held by subject specialists in the curriculum design process. Knowledge integration continues to be a contested field in universities that typifies resistance to change. Some participants demonstrated a positive disposition towards knowledge integration models which they used in curriculum development. This study concludes that a collaborative and collegial deliberation among science education lecturers and experts in various knowledge domains could be a way to find common ground on issues highlighted in this study. Re-thinking and re-conceptualising knowledge organisation for science academic knowledge are appropriate to the needs of school curriculum and benefit science teachers with knowledge and competences for knowledge impartation, skills and values in the subject.
PERFORMANCE COMPARATIVE ANALYSIS OF IMPROVED FUZZY AND NON-FUZZY CLASSIFICATION METHODS

In data mining technology, data clustering has been considered as the most important exploratory data analysis method used to extract the unknown valuable information from the large volume of data for many real time applications. Most of the clustering techniques proved their efficiency in many fields such as medical sciences, earth sciences, decision making systems etc. One of the main approaches to clustering is partition based clustering. This work reports the results of classification performance of three such widely used algorithms namely K-means (KM) or Hard c-means, Fuzzy Possibilistic c-Means (FPCM) and Possibilistic Fuzzy c-Means (PFCM) clustering algorithms. Two well known data sets from UCI machine learning repository are considered to test the algorithms. The efficiency of clustering output is compared with the results observed from the repository. The experimental results demonstrate that FPCM produces close results to PFCM and K-means algorithm yields more accurate results than the FPCM and PFCM algorithms .
A Review of Fingerprint Compression Based on Sparse Representation

— Fingerprint analysis plays crucial role in crucial legal matters such as investigation of crime. But a fingerprint image consists of enormous amount of data. Therefore we have to reduce the amount of its data. To do this, we need some powerful image compression technique. There are many image compression techniques available. Fingerprint images are rarely of perfect quality. They may be degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are employed prior to minutiae extraction to obtain a more reliable estimation of minutiae locations. In this paper, we review various methods of fingerprint compression methods. Finally we discuss a fingerprint compression algorithm based on sparse representation. After the image enhancement, we are constructing a dictionary for predefined fingerprint image patches. For a given whole fingerprint, divide it into small blocks called patches. Use the method of sparse representation to obtain the coefficients then, quantize the coefficients and last, encode the coefficients. Three groups of fingerprint images are tested. The experiments demonstrate that our algorithm is efficient compared with several competing compression techniques The main feature used to match two fingerprint images are minutiae. Therefore, the difference of the minutiae between pre and post compression is considered.
SPECTROSCOPIC DETERMINATION OF TOTAL PHENOL, FLAVONOID CONTENT AND ANTI-OXIDANT ACTIVITY IN DIFFERENT PARTS OF Adansonia digitata L.: AN IMPORTANT MEDICINAL TREE

Adansonia digitata L. (Bombacaceae) (baobab) is a remarkable key tree species known as Kalpavriksha in India and very few reports validate its presence in the country. Baobab is a multi-purpose tree which is revered for its medicinal and nutritional value. It offers protection, provides food, clothing, medicine as well as Raw materials for many useful items. The fruit pulp, seeds, leaves, flowers, roots, and bark are edible and have been studied for their useful properties including antimicrobial, anti-malarial, antiviral, anti-oxidant and anti-inflammatory activity. In the present study, Quantitative spectroscopic estimation for phenols, flavonoids and anti-oxidant activity in plant extracts (methanol & aqueous extracts of bark and fruit pulp) was carried out. It was observed that the phenolic content was found maximum in the methanol bark extracts i.e. 44.50 μg (GAE)/ml compared to the methanol fruit pulp extract 38.69 μg (GAE)/ml. Methanol fruit extract was found to have higher flavonoid content (50.32 μg/ml) followed by aqueous fruit having 39. 32μg/ml. Fruit pulp extract in methanol showed maximum anti-oxidant capacity of 114.82 μg AAE/ml followed by aqueous fruit pulp extract (84.23μg AAE/ml). The present results reconfirm the fact that the plant is a storehouse of large number of economically important chemicals, which have applied value as pharmaceuticals, with enormous anti-microbial potential against selected microorganisms. Also, the sudden interest developed in rehabilitation of this species is due to its unparallel medicinal properties and rich chemical composition.
Review on graph learning for dimensionality reduction of hyperspectral image

ABSTRACT Graph learning is an effective manner to analyze the intrinsic properties of data. It has been widely used in the fields of dimensionality reduction and classification for data. In this paper, we focus on the graph learning-based dimensionality reduction for a hyperspectral image. Firstly, we review the development of graph learning and its application in a hyperspectral image. Then, we mainly discuss several representative graph methods including two manifold learning methods, two sparse graph learning methods, and two hypergraph learning methods. For manifold learning, we analyze neighborhood preserving embedding and locality preserving projections which are two classic manifold learning methods and can be transformed into the form of a graph. For sparse graph, we introduce sparsity preserving graph embedding and sparse graph-based discriminant analysis which can adaptively reveal data structure to construct a graph. For hypergraph learning, we review binary hypergraph and discriminant hyper-Laplacian projection which can represent the high-order relationship of data.
Endodontic Management of Three Rooted Maxillary First Premolar with the Aid of CBCT & Dental Operating Microscope: A Case Report

Aim: This case report describes how to diagnose and to manage clinically in three rooted upper first premolar with the aid of CBCT and magnification (DOM). Summary: According to the previous studies, the prevalence of morphological variations in root canal system is known fact. Upper premolars highly vary in the morphology of the root canal, but the incidence of three roots and canals are very rare. In this case, the report discusses to diagnose and manage endodontically of an upper first premolar with three canals with their three distinct roots, drawing particular attention to radiographic interpretation, CBCT, Dental Operating Microscope, and access modification. *Corresponding author: Dr. Prashanth.M. B BDS, MDS Department of Conservative Dental Sciences IBNSINA National College for Medical Studies (Dentistry Program) Al-Mahajar Street, Jeddah, KSA Tel: 966550374615 E-mail: prashanth_bharathraj@yahoo.co.in Citation: Prashanth M B Endodontic management of three rooted maxillary first premolar with the Aid of CBCT & dental operating microscope: A case report. J Dents Dent Med. 2019 Mar;2(1):131 Copyright: © 2019 Dr. Prashanth.M. B etal. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 international License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Department of Conservative Dental Sciences, IBNSINA National College for Medical Studies, Jeddah, Saudi Arabia Prashanth M B *
A Survey on Medium Access Control in Wireless Sensor Networks

A BSTRACT ––The purpose of this investigation was to perform a fair and thorough physical evaluation of recent medium access control (MAC) protocols for wireless sensor networks (WSNs). WSNs are used to solve many real world problems, such as periodic monitoring, event detection and tracking. They are commonly deployed in medical, agricultural and military applications, among others. Wireless sensor ―motes‖—small embedded systems equipped with radios for wireless communication—are almost always expected to operate unattended for long periods of time, relying upon batteries as a power source. As the vast majority of energy consumed by motes can be attributed to radio usage, the development of MAC protocols which seek to minimize energy consumption is an important area of wireless sensor network research. This project involved the implementation of four energy-efficient WSN MAC protocols and a fair evaluation and analysis of their energy consumption. The scope of this research is as follows i)Describe the WSN taxonomy and survey the MAC protocols for WSN ii) Evaluate and compare the performance of MAC protocol. It states the requirements for MAC protocol in WSN, gives an overview of the proposed MAC protocol and its variants. This Paper presents analysis, and discussion of proposed MAC protocols and their efficiency taking various factors.
Wideband Tuning of Impedance Matching for actual RF Networks using AQPSO

An adaptive wideband impedance matching technique using a passive PI-network is presented in the paper on the basis of adaptive quantum particle swarm optimization algorithms (AQPSO), which avoiding the drawbacks of the standard particle swarm optimization (PSO) algorithm. The Wideband Tuning technique is for actual RF chips. So on-chip models for RF capacitors and inductors are considered. And the effects of the parasitic component loss in the PI-network are analyzed. Then the circuit is simplified according to the sensitivities of the elements. Therefore, the computational complexity is dramatically reduced. Finally, the AQPSO algorithm is adopted to maximize the power transmission efficiency. Simulation results show that the proposed tuning technique can achieve good accuracy of impedance matching and load power. The reflection coefficient and VSWR obtained are also satisfactory. Moreover, the proposed method can be useful for software defined radio systems using a single antenna for multiple mobile and wireless bands.
SPEAKER RECOGNITION OF MAGHREB DIALECTS

A few studies have focused on the west Arabic (Maghreb) dialects for which resources are rare. To handle this problem, we devoped a web-based database of speech from Tunisian, Algerian and Moroccan speakers covering the diversity of Arabic dialects spoken in north Africa. Then speaker identification and verification experiments have been conducted in order to evaluate the performance of each dialect-based system. A baseline system using Timit database have also be developed for comparison purposes. The experiments show that the performances of dialectal speaker identification systems outperform those of the baseline identification system. The dialectal speaker verification systems performances are less better than the Timit-based sytem but are close to each other.
IN VITRO CALLUS INDUCTION IN SIMMONDSIA CHINENSIS

Present research investigations were studied role of various growth regulator like BAP, KIN, IBA, 2,4-D and IAA on in vitro callus formation . Various explants like apical shoots, nodal and axillary leaves inoculated on MS (Murashige and Skoog, 1962) medium supplemented with various concentration of phytohormones like, BAP (6-Benzylaminopurine), KIN, IBA, 2,4-D and IAA (Indole 3acetic acid). MS medium contain BAP in various concentrations viz, 1.0, 2.0, 3.0, 4.0 and 5.0 mg/l combination with IBA or IAA to produce minimum average percentage of calli. These explants were inoculated on MS medium supplemented with different concentration of KIN like 1.0, 2.0, 3.0, 4.0 and 5.0mg/l combination with IBA or IAA. Apical shoot and axillary leaves were inoculated on MS medium supplemented with different concentration BAP and 2, 4-D these result were recorded maximum percentage of callus induction.
Medical Image Segmentation using Enhanced Neuro Fuzzy Classification Algorithm based on Multi-Modal Function of PSO

—Segmentation is the process of partitioning a digital image into multiple segments. Image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. According to the advanced medical pictures are not invariably delineated victimisation the constant quantity technique with previous likelihood, resulting in the distinction between the particular physical model and also the basic hypothesis of the model, specifically the matter of “model mismatch”, the strategy of medical image segmentation supported the multi-modal operate optimisation is projected during this paper. It projected a density model of the statistic orthogonal polynomials for image knowledge, the novel Particle Swarm Optimisation (PSO) technique is employed to resolve the multi-modal operate optimisation downside. On the idea of the heuristic optimisation search, the novel technique was prospering in multi-modal operate optimisation. The FCM cluster formula is employed to section image with native optimum resolution because of the cluster centre. Particle swarm optimisation (PSO) is a recent approach that may be used in a very wide selection of applications. It associate in nursing organic process computing technique supported colony ability that could be a higher parallel looking out formula. Image segmentation could be a low level vision task that is applicable in numerous applications like seeing medical imaging, document analysis, simply to call some. PSO itself could be a terribly powerful technique and once combined with alternative machine intelligence technique leads to a really affected approach. During this paper was reviewed however PSO will be combined with numerous alternative methodologies like neural networks, clustering, and thresholding using neuro fuzzy clustering based image segmentation. Thus, the proposed approach increases the accuracy level and reduces the time.
Effect of Ginkgo biloba extract on cognitive function and neurotransmitter levels in rats with vascular dementia

This study aimed to investigate the effect of Ginkgo biloba extract on the cognitive function and neurotransmitter levels in rats with vascular dementia (VD) and its mechanism of action. 50 male Sprague Dawley rats were selected for this study, and the vascular dementia model was established by permanent occlusion of bilateral common carotid arteries of rats. Of which 40 rats were then divided into four groups (n=10): vascular dementia group, low-dose, middle-dose and high-dose ginkgo biloba extract groups respectively; another 10 rats were allocated to sham operation group. Rats in low, middle and high dose groups were received 5, 10 and 20 mg/kg/d Ginkgo biloba extract via tail vein, respectively, while model group and sham group received an equal volume of normal saline. Morris water maze was used to evaluate the cognitive function of rats. After behavioral observation, these rats were sacrificed for detecting the level of acetylcholine (ACh), dopamine (DA) and 5-hydroxytryptamine (5-HT) in brain tissue. Ginkgo biloba extract can significantly improve the cognitive function of rats with vascular dementia, the mechanism may be correlated with the fact that the extract can obviously increase the levels of ACh, 5-HT and DA, as well as inhibit the activity of AChE.
Development of Top Layer Web Based Filtering Firewall using Software Defined Networking

Software defined networking is a new paradigm in the field of networking which is bringing a drastic change in this technology. The main logic behind SDN is separation of control plane and data plane which makes network management simpler. With the separation of control and data plane, now it is much easier to introduce new ideas through software programs as these are easier to manipulate and change them in proprietary network devices. This paper focuses on developing a web based filtering firewall which will work on top layer of TCP/IP model with the help of openflow protocol. This implementation shows that firewall functionalities can be built on software without the need of dedicated hardware. We have chosen VMware workstation and POX controller written in python for the implementation purpose. For creating network topology, we have used mininet emulation tool. This study covers implementation details as well as experimental results. Keywords— SDN, Firewall, Openflow, Mininet, Pox
Planar Monopole Antenna with Compact EBG For Wireless Body Area Network

The letter presents a planar antenna backed with an EBG structure. The properties of the EBG have been studied and obtained efficient radiation of an antenna which is used for wearable applications. The gap that separates the ground and the EBG layer is varied due to which the antenna radiates at 2.48 GHz. The prototype models of antenna show measured gain of 6.5 dBi with the EBG structure on the background. The proposed prototype is fabricated on a 30 x 20 x 0.7 mm3 denim substrate has dielectric constant of 1.7mm as its property. Detailed analysis of the prototype and results exhibited for various cases are shown, and in all conditions the antenna withholds its performance. The efficient radiation patterns, high gain and compact size makes the proposed antenna a worthy choice for wireless body area network communication.