Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of Rheological properties of Psyllium polysaccharide and its evaluation as Suspending agent

Excipients are an integral part of any drug delivery system and though the market is flooded with an array of excipients for widely different applications, cost is a major deterrent, especially in a country like India. The objective of the present study was to investigate indigenous plant sources containing polysaccharides, devise a cost effective extraction procedure and evaluate its use as a multi-functional excipient. Psyllium seed husk has been traditionally used as a bulk laxative in India. Recent studies have also pointed out their cholesterol lowering effect. However the mucilaginous components of the seeds have not yet been investigated as a pharmaceutical excipient. In the present research, spray dried extract obtained from psyllium seeds was used. Paracetamol was selected as drug and mucilage of psyllium polysaccharide (PPS) were prepared in different concentrations. The rheological properties of the mucilage were studied and important parameters like thixotropic nature, hysteresis loop were observed. The results were compared with standard suspending agent sodium carboxymethyl cellulose (Na CMC). Paracetamol suspension was prepared and evaluated for pH, viscosity, resuspendability and sedimentation volume. The Psyllium polysaccharide (PPS) mucilage was found to have a promising potential for its use as a suspending agent.
A Distributed Storage Integrity Auditing for Secure Cloud Storage Services

-Cloud storage provides a convenient means of storing and retrieval of hug amount of data. With this facility, organizations and individuals can outsource their data to cloud. Though cloud storage gives significant benefits to users, there are security concerns as well. Since the cloud users store their valuable business data in cloud, the security is an utmost concern. Moreover the cloud server has to be untrusted since it is accessed through a public network such as Internet. Many techniques came into existence to address the storage security problem in cloud. However, providing data audit with low communication and computation cost is important. Recently Wang et al. presented a distributed storage integrity auditing mechanism. This mechanism is based on security approaches such as erasure-coded data and homomorphic tokens. In this paper we practically implement the security mechanism using a prototype application that demonstrates the proof of concept. The empirical results revealed that the prototype is capable of preventing various attacks such as server colluding attacks, malicious data modification attack besides protecting byzantine failures.
THE MORPHOLOGICAL, PROXIMATE AND MINERAL RESPONSES OF SESAME TO DIFFERENT NUTRIENT SOURCES

The responses of morphological characteristics, proximate and mineral elements in sesame to different nutrient sources were investigated in Anyigba, Kogi State, Nigeria. Seeds of sesame (Sesamum indicum L.) were obtained from Ilorin, Kwara State, Nigeria and planted in 2008 and 2009 at the Research Garden of the Biological Sciences Department to eliminate variations induced by environmental differences. Top soil from the research site was separately mixed with N.P.K fertilizer, chicken dung, cow dung and no fertilizer (control). The experimental design adopted was the Complete Randomized Design (CRD). Eleven vegetative characteristics, six proximate and eight mineral elements were investigated. Mean values for five readings on each vegetative trait, three readings each on both proximate and mineral component were recorded. Data pooled on each attribute were subjected to Analysis of Variance (ANOVA) and means with significant differences were separated using the Duncan Multiple Range Test (DMRT) statistical methods. Seven morphological traits, three proximate and one mineral component did not show significant variation in their response to nutrient sources which implies that they are under strong genetic control and their expressions are not influenced by soil fertility status.
FPGA-Based Connected Component Algorithm for Vegetation Segmentation

In the process of automatic trees recognition and tracking, image target is captured by RGB camera mounted on a UAV, in processing step image captured is subjected to threshold and extract selected information, This techniques may be applied to recognize objects with different shapes and sizes. In the case of remote sensing vegetation, the image usually contains multiple connected areas or overlapped trees; the proposed system uses the shape characteristics of the image target to self-identify the suspicious overlapped features. This technique allows distinguish, analyze and detect different features in images by assigning a unique label to all pixels that refers to the same entity or object. In the process of automatically recognizing and tracking the target of an image, it is first segmented and extracted. The resulting binary image usually contains several connected regions. The system uses the shape characteristics of the target in the image to automatically identify the suspected overlapped trees. Therefore, it is necessary to detect and evaluate each connected area block separately, in this paper, the improved FPGA-specific rapid marking algorithm is used to detect and extract each connected domain.
A Survey on Analysis of a Noisy Image by using External and Internal Correlations

When a noisy image is a single image then it suffers from limited data collection in denoising it. In this paper, we propose image denoising scheme, which explores both internal and external correlation with the help of web images. In this paper, we use two stage filtering technique for denoising the image in the first stage we use graph-cut based patch matching and frequency truncation and then combining result of both filter and enter into the second stage in the second stage we use adaptive filtering and wiener filtering for denoising the noisy image and then combining the result of both filter. By using two stage filtering technique we get better filtered image.
Modified Energy Efficient Backup Hierarchical Clustering Algorithm Using Residual Energy for Wireless Sensor Network

 Abstract— Clustering is a fundamental performance improvement technique in wireless sensor networks, which can increase network scalability, lifetime and power level. In this paper, we integrate the multi-hop technique with a backup-based clustering algorithm using the residual energy to organize sensors. By using an adaptive backup strategy as well as the residual energy, the algorithm not only realizes load balance among sensor node, but also achieves dynamic cluster head distribution across the network in a timeout manner. Simulation results also demonstrate our algorithm is more energy-efficient compared to other algorithms. Our algorithm is also easily extended to avoid the formation of forced cluster heads, thereby it achieves better network management, energy-efficiency and scalability.
International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Every moment that comes to us brings new challenges. The rising boom of computer technology has brought new horizons to our attention. Today continuous progress and service delivery has changed business as well as the daily life of today’s human-being. Continuous advancement in computer technology has introduced many valuable impacts on today’s life. Online Home Delivery System is also a powerful reflection of computer technology. Is it OK . to use a home-delivery service? It's not the idea, but the application of the idea that is the key to success. So say the business gurus. Indeed, it's striking how many successful businesses are based on ideas that failed for others before them. The case of Webvan.com is a good example that there are often rich pickings to be had from the carcass of failure. Webvan was one of the most luminescent stars of the dotcom boom and one of the most startling failures of its inevitable crash. The company's founders raised about $1bn to fund their idea of a super-efficient home-delivery. Initially serving Silicon Valley in California. The company's fleet of vans promised to deliver to customers within 30-minute time slots. Customers loved the service but the company grossly over reached and it floundered with colossal debts. Information technology advancements have introduced a number of incredible things that was a trance in the past. The idea of home delivery service is a very strong idea for today’s business and it can put valuable effects on the business of any organization in today’s competitive business environment.
Exploring the Nexus Between Foreign Aid and Human Capital Development in Nigeria

This paper utilizes country-specific time series data over the period 1990-2017 and Autoregressive Distributive Lag (ARDL) model to estimate the relationship between and human capital development in Nigeria. The specific objectives focused on the impacts of official development assistance (ODA), broad-based grants and technical cooperation grants on public investments in education and healthcare. The Phillips-Perron unit root test results reveal that the variables are mixed integrated with evidence of levels and first difference stationarity. The mixed order of the integration in the series necessitated the application of ARDL bounds test for cointegration and the results indicate that the variables in each of the models have long run relationship. Findings from the estimated ARDL models reveal that lagged values ODA exert significant positive impact on public investment in education in the short run. Both the first and third lag of broad-based grant has significant negative relationship with public investment in education in the short run. The long run result revealed that ODA and technical cooperation grants have significant positive relationship with public investment in education. 1 percent increase in ODA and technical cooperation grants increases public investment in education by 4.289 percent and 0.829 percent respectively. It was further observed that the contemporaneous value of ODA has positive relationship with public healthcare investment in the short run. 1 percent increase in ODA inflow increases public healthcare investment by 1.099 percent. Additionally, there is more than proportionate increase in public investment in healthcare to the tune of 3.179 percent following 1 percent increase in ODA in the long run. Therefore, it is recommended among others that policy makers and donor countries/agencies should prioritize the education sector in the disbursement of foreign aid with a view to achieving the fourth Sustainable Development Goal (SDG) which is to ensure inclusive and quality education for all and promote lifelong learning. Keywords: Human development, education, healthcare, ODA, grants, ARDL and Nigeria. DOI : 10.7176/JESD/10-7-05 Publication date : April 30 th 2019
Wells Revisited: Infectious Particles vs. Quanta of Mycobacterium tuberculosis Infection–Don’t Get Them Confused

Perhaps the clearest thinker on the subject of airborne infections to date was William Firth Wells, a sanitary engineer born in Boston in 1887. Wells trained in the military and later conducted seminal experiments at Harvard University between 1930-1937, and at the University of Pennsylvania 1937-1944, producing clear evidence for the airborne spread of infection. Charles Chapin, the influential health officer of Providence, Rhode Island, had dispelled the importance of airborne infection in his 1910 monograph, “Sources and Modes of Infection” [1]. Well’s challenge to that belief is summarized in his still relevant 1955 masterwork, “Airborne Contagion and Air Hygiene: An Ecological Study of Droplet Infections” published by Harvard University Press [2]. In the preface Wells attributes the crucial distinction between droplet nuclei (airborne inhalable dried residua of larger respiratory droplets) and germ-laden dust (non-inhalable larger respiratory droplets) to Richard L. Riley, a medical student working with him at Harvard at the time. Riley became Wells’ lifelong protégé, and between 1957-1962 conducted the classic human-to-guinea pigs studies in Baltimore that Wells had long before envisioned to prove beyond doubt that contact with contaminated air was sufficient to result in Mycobacterium tuberculosis transmission[3-6]. That brilliant experiment quantified infection, showing great patient to patient variability in infectious source strength, and also, importantly, that effective chemotherapy almost immediately stopped human to guinea pig transmission.
Towards An Approach of Ontological Coreference Resolution for Sentiment Analysis

In this paper, we propose an ontology-based approach to tackle the problem of aspect-level sentiment analysis. This in an emerging trend in the field of NLP area nowadays, which aims at not only discovering the sentiments expressed by speakers, but also the objects (or aspects) targeted by those sentiment mentions. Ontology is considered highly useful to cope with this issue, due to its capability of capturing and representing concepts in a certain domain. However, ontology-based sentiment analysis suffers from the difficulty when handling anaphoric coreference of mentioned entities, which commonly occurs in textual documents. We address this problem by introducing an approach combining coreference resolution with ontology inference. First, we introduce Aspect-oriented Sentiment Ontology, capturing aspect-sentiment relationships via two specific relations of mentioned-by and implied-by. Then, lightweight NLP techniques are combined with ontological knowledge base to support final sentiment rating decision. We have applied our approach on real datasets from Smartphone domain and promising initial results have been obtained.
AN ALTERNATIVE APPROACH TO AGILE USING REQUIREMENT ENGINEERING

Many small-scale developers have shifted from a traditional, waterfall method for developing software to lighter weight, agile methods. Though the agile method is quite prevalent among small scale industries, there are several shortcomings in it. In this paper we describe the shortcomings in existing agile methodologies and the methods to overcome some impediments using Requirement Engineering. The best features of Agile and Requirement Engineering is combined and a tool is being created which acts as a repository of data.
Survey of Cluster Analysis and its Various Aspects

: Cluster analysis or clustering is a technique storing logically similar objects together physically. This physical storage is referred as classes in clustering. The data available as input for clustering can be of various types e.g. image, text etc. This process is carried out by different algorithms such as k-mean, fuzzy-C etc. In this paper light is thrown out on various aspects related to cluster analysis. Topics covered are types of cluster, types of data and clustering methods available. Aim is to help the researchers to understand the basics of clustering in a single paper who are interested to work on the same.
Modeling and Analysis of MAPE-K loop in Self Adaptive Systems using Petri Nets

Feedback loop plays a pivotal role in modeling of systems that have capability to adapt to new requirements during execution. These systems are categorized as self-adaptive systems (SAS) which can alter their working according to the inputs received from the environment. At present, we are surrounded by software systems that are either adaptive or self-adaptive. In both cases feedback loop has a major role in the adaptation process. Hence, reliable and efficient working of this loop is critical towards successful development of software systems that have ability to work with requirements that were not known at the time of development. Formal methods are mathematics of software and hardware systems, these methods include modeling languages and tools to model and analyze systems with use of concrete mathematical principles. Petri-Nets is a formal specification language that is used for analysis, modeling and testing of complex systems. In this paper we have presented an initial model of feedback loop using Petri-Nets. It has been observed that modeling and analysis of feedback loop using Petri-nets has been useful in verification of system at an abstract level and the generated model is free from deadlock and has capability to expand in future. This is an abstract model with limited inputs, invariants and constraints, this model will be enhanced for a complete SAS in future research.
ON VARIOUS OSCILLATORS AND POWER AMPLIFIERS DESIGN METHODS EMPLOYED FOR THE DEVELOPMENT OF POWER INVERTERS

Electricity is central to the existence of human being such that a country’s electric power generating capacity is equated with its level of development. Several Nigerians have lost their lives from inhaling (fuel type electric) generator fumes due to the inability of the federal government to provide stable electric power. Scientists and engineers have suggested the use of power inverters as the alternative to the fuel type electric generators. An inverter is an electronic device that has the ability to convert the direct current, dc, from the battery or solar cells (panels) to alternating current, ac, which is the convectional form that powers many electrical appliances. Many inverters ranging from low wattages to high wattages are now found in homes and offices across Nigeria. Majority of these inverters can not be used to adequately power some electrical appliances due to the poor design techniques employed by the designers. This paper discussed the main building blocks of the power inverters: the oscillators and the power amplifiers design techniques. The merits and demerits of various design techniques available for the development of different types of power inverters were spell out.
A Rational Approach on Model Based Slicing

: Aim of Software testing is to evaluate an attribute or capability of system and determine that whether it meets required prospects. The most rationally challenging part of testing is to design of test cases. Now a days, UML has been extensively used for object oriented modeling and design. This is due to the fact that UML metamodel extends support to describe structural and behavioural aspects of an architecture. However, it is still difficult to understand this behaviour, because the size of automatically generated model diagrams tends to be huge. To overcome this problem of software visualization model based slicing technique has been developed. Model based slicing is a breakdown technique to extract and identify relevant model parts or related elements across diverse model views. We have proposed a novel procedure to extract the sub-model from a big model diagrams on the basis of slicing criteria. The proposed methodology use the concept of model based slicing to slice the sequence diagram to extract the desired chunk. In the presented approach UML, conversion of UML into XML, Java DOM API for parsing and slicing has been used. Then by using the Editor Extracted Sequence Diagram has been generated.
GENERATING TEST PATTERNS FOR FPGAS USING MULTI-OBJECTIVE GENETIC ALGORITHM

This paper presents a brief introduction to multi-objective genetic algorithms and FPGAs[4][8]. In this paper we have discussed that how test pattern generation method can be formulated in terms of CNF form [16]and this CNF form can be used to generate test patterns using genetic algorithm[20] We have proposed that by applying a multi-objective genetic algorithm on this CNF form we can increase number of instances to satisfy boolean equation.
A Hybrid Image Denoising Method

In this paper, a hybrid image denoising method that is based on locally adaptive window-based maximum likelihood (LAWML) and NeighShrink. The LAWML is doubly stochastic process models which denoise an image by exploiting the dependency of local wavelet coefficients within each scale. The LAWML needs a global optimal neighboring window. The NeighShrink thresholding scheme uses the immediate neighboring coefficients based on block thresholding. It uses a suboptimal universal threshold and identical neighbouring window size in all wavelet subbands. The NeighShrink and LAWML always produce an over-smoothed image like the Weiner filter in which many of the detail coefficients are lost during threshold evaluation. This proposed method overcomes these disadvantages and, as a result, it provides significant improvement in visual quality i.e. Peak-to-Signal Noise Ratio (PSNR) of a noisy image.
Optimizing Access Strategies for a Distributed Database Design using Genetic Fragmentation

A key component of any Relational Distributed Database Query Optimizer is to fragment various tables and distribute fragmented Data over the sites of network. Then find an near optimal or best possible subquery operation allocation plan in a stipulated time period. In this paper we have proposed a Genetic Algorithm (GA) for finding near optimal fragmentation plan for selecting the various nodes or sites for placing recursively the vertically fragmented data attributes in two components for a Query Transaction on the Database. We discuss advantages of using proposed Genetic Algorithm (PGA) over various other prevalent Algorithms and un partitioned case. Experimental results for a simulated Distributed Database over a Wide Area Network show encouraging results for the use of PGA over other techniques.
A Survey on Security Issues and Solutions in Live Virtual Machine Migration.

Virtualization technology allows the sharing of same physical resources among several users and helps to achieve optimum utilization of physical resources. Hardware virtualization is the process of partitioning the physical machines into logical machine using virtualization software called hypervisor and each logical machine is called virtual machine (VM). Live Virtual machine migration is the process of transferring a virtual machine from one physical machine to another while the VM is running and without interrupting the services running in VM. Live migration helps System administration in fault tolerance, online system maintenance, workload balancing and consolidation of VMs etc. However, vulnerabilities associated with live migration pose many security threats. Because of these threats IT industry is hesitate to adopt live migration for sensitive data applications. This paper is a survey of attacks on live migration of virtual machine and approaches to handle them. This paper also discusses proposed strategy to secure live migration.
Geochemical Study of Soils, Road Dust and Stream Sediments around Ijebu-Ode, Southwestern, Nigeria

Copyright: © 2014 Akinade SO, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Geochemical Study of Soils, Road Dust and Stream Sediments around Ijebu-Ode, Southwestern, Nigeria Olatunji Akinade S* and Olisa O