Miracle-dz/UniFAR-FTUs huggingface dataset:
A SECURITY ISSUES ON CLOUD COMPUTING

Cloud computing security or, cloud security is an evolving sub-domain of computer security, network security, and, more broadly, for information security. It refers to a broad set of policies, technologies, and controls deployed to protect data, applications. Cloud Computing is a platform for providing business or consumer IT services over the Internet. The importance of Cloud Computing is increasing and it is receiving a growing attention in the scientific and industrial communities. Cloud computing transforms the way information technology (IT) and it is consumed by promising improved cost efficiencies, accelerated innovation, faster time-to-market, and the ability to scale applications on demand. We describe various service and deployment models of cloud computing and identify major challenges. Let us discuss about three critical challenges: regulatory, security and privacy issues in cloud computing. Some solutions to mitigate these challenges are also proposed along with a brief presentation on the future trends in cloud computing deployment.
The Mediating Role of Trust, Attitude and Satisfaction on the Relationship Between Perceived Usefulness, Perceived Ease of Use And Social Commerce Intention Among University Students in Saudi Arabia

: Social Networking Sites (SNS) have been considered as a new and Social Networking Sites (SNS) are second generation web applications ,social commerce intention has become increasingly attractive and enhance by users of social networking sites that often-received attitudinal beliefs from contemporary users. This study is designed to test the influence of attitudinal beliefs (Perceived Usefulness and Perceived Ease of use) as well as mediating effect of trust, attitude and satisfaction on social commerce intention among university students in Saudi Arabia. Thus, a framework that seeks to test these relationships is developed. Equally, the study emphasizes that the utilization of complimentary social network sites by university students, exerts a robust consequence on their social commerce intention. Accordingly, the study establishes that this relationship is mediated by trust, attitude and satisfaction. This paper includes supportive literature to corroborate the conceptualized model in the context of Saudi Arabia.
Effect of carbon doping on electronic structure and optical properties of ZnO clusters

A systematic study of the electronic and optical properties of the ZnnOn cluster and ZnnOn−1C (n = 1-5) is presented in the framework of time dependent density functional theory (TDDFT). The binding energy (BE), ionization potential (IP), electron affinity (EA) and HOMO–LUMO gap were calculated to compare the stability of the doped clusters. A study of the optical band gap change for ZnO cluster and C-doped ZnO clusters has been investigated. The optical gap and the optical spectra depend on the geometry and size of the cluster. Our study reveals this dependence and also adds the effect of carbon doping. This is fruitful for tuning optical band gap for optoelectronic devices using suitable doping elements.
Aggressive Behaviour among Elementary School Children in Bangalore: A Study on Gender and Grade Differences

Aggression is a very commonly seen behaviour these days among school children. It is also one of the most prevalent behavioural aspects in children which cause a lot of concern in the present days. Aggression engulfs a wide spectrum of behaviours, which varies from covert to overt display of aggressive behaviours. The current study identified certain private schools in Bangalore city through purposive sampling method. With the help of teacher’s checklist and Direct-indirect aggression scale (Bjorkvists,1992),a rating scale, rated by the class teachers, the researcher identified 366 children out of 38 schools, as displaying Aggressive Behaviours. The aim of the study was to understand the nature of aggression in elementary classes, and the different types of aggression displayed among boys and girls. This study identified the gender and grade differences in the display of aggression from grade 1 to grade 4. There was a very significant difference in the aggression displayed by boys and girls, where boys were significantly higher in the display of direct aggression and there was no significant difference in verbal or indirect aggression in boys and girls. Boys in the sample followed a pattern on Direct, Verbal and indirect aggression, while girls followed a pattern of Verbal, Direct and indirect aggression. It was also seen that through the grade 1 to 4, direct aggression was replaced by verbal aggression in the classrooms. The intensity of overall aggression was highest among boys and girls in grade 4.
Fast Searching of Nearest Neighbor Using Key Values in Data Mining

Spatial query which focus only on the geometrics properties of an object like points, rectangle etc. Now a day‟s many new applications which involve the queries that completely aim to return an object which satisfy equally on spatial predicate and their associated text. Spatial query takes the given location and a keyword as the input and finds the object that matches the both spatial predicate and the text related to the given query. Some of the spatial queries are range search and nearest neighbor retrieval which includes only geometric properties of an object. For example, In case of considering all the hotels, a nearest neighbor query would find for the hotel which is near, along with menu that user required to have in hotel among all the hotels in particular location simultaneously. At present the better solution is based on IR2-Tree which as few drawbacks that affect the efficiency in query retrieval. So we develop a new method Spatial inverted index that cope with 3D data to answer the nearest neighbor query using keyword along with key values in real time. Searching nearest neighbor query using key values will result in quick response of query when compared to keyword in real time.
In vitro cytotoxic activity of silver nano particle biosynthesized from Colpomenia sinuosa and Halymenia poryphyroides using DLA and EAC cell lines

This study was conducted to investigate the invitro cytotoxic activity of silver nano particles biosynthesized from Colpomenia sinuosa and Halymenia poryphyroides using DLA and EAC cell lines by tryphan blue dye exclusion technique and MTT assay using Mouse L929 cell lines (Lungs fibroblast). The results of the trypan blue dye exclusion assay indicates that the silver nano particles biosynthesized from Colpomenia sinuosa and Halymenia poryphyroides inhibits the growth of DLA and EAC cell lines in a dose dependent manner against the standard drug Curcumin where the silver nano particle biosynthesized from Colpomenia sinuosa showed 61.57 % and silver nano particle biosynthesized from Halymenia poryphyroides showed 89.36 % in DLA cell line similarly the silver nano particle biosynthesized from Colpomenia sinuosa showed 81.96 % and silver nano particle biosynthesized from Halymenia poryphyroides 91.45 % in EAC cell line. The results of the MTT assay indicated the silver nano particles biosynthesized from Colpomenia sinuosa and Halymenia poryphyroides significantly inhibited the proliferation of L929 cells in dose dependent manner where the silver nano particle biosynthesized from Colpomenia sinuosa showed 37.06 % and silver nano particle biosynthesized from Halymenia poryphyroides showed 100 % against the standard drug Curcumin.
Chromosomal Disorders and Aberrant DNA Methylation as Early Biomarkers of Breast Cancer Risk in Young Women. J. Life Sci. Biomed. 8(1): 01-05; www.jlsb.science-line.com;

Genetic instability is an early and constant characteristic of tumor cells. Chromosomal aberrations and epigenetic anomalies are the factors leading to genomic instability. This study aimed to investigate the relationship between chromosomal disorders and aberrant DNA methylation as strong biomarkers in early diagnostics of breast cancer in young women. The research was conducted in 20 patients, and involved 15 young females with breast cancer at stages T2-4N0-3MO (histologically confirmed). Cytogenetic tests of lymphocytes of females with breast cancer (BC) revealed chromosomal abnormalities expressing as deletions, isolocus deletion of chromosomes and gaps. Activity of the DNA methyltransferase (DNA MTase) in BC is shown to rise up to 58%, in comparison with the normal indexes. Conclusion: Cytogenetic analysis of lymphocytes in BC women has revealed chromosomal abnormalities in the form of deletions, isolation of chromosome deletions and gaps. It has been shown that in BC, the activity of DNA methyltransferase is increased by 58%, compared with the normal indexes. Original Article PII: S225199391800001-8 Rec. 03 Nov. 2017 Acc. 09 Jan. 2018 Pub. 25 Jan. 2018
Segmentation of Lung Nodules in CT scan Using Four Direction Thresholding Approach

- Computed tomography technology is one of the important technology techniques, which shows the inside part of the human body through scanning the specific area. FDT Technique aims to augment the precision of the CT image thresholding by implementing an advanced thresholding approach from four different directions. Based on the FDT technique, the foreground and back ground pixel values of the adjacent pixel intensity value. Based on the intensity value, final decision is made based on all four directions. FDT method has been evaluated on different CT images with an aspect that the neighbor pixels in precision of thresholding. The effectiveness of FDT technique is demonstrated by means of the new approach Four Directional Thresholding (FDT) technique. This FDT technique segments the pulmonary parenchyma in Computed-Tomography (CT) images using the Similarity-Based Segmentation (SBS). This FDT technique aims to augment the precision of the CT image thresholding by implementing an advanced thresholding approach from four different directions. In which the determination of pixels’ value as being either on foreground or background . With the phenomenon that background pixel’s intensity highly dependent on its adjacent value and the final decision is made based on all four directions’ thresholding results. In this study the precision of thresholding with FDT technique is implemented and the importance of neighbor pixels in it is demonstrated. The effectiveness of FDT method has been evaluated on different CT images.
Unified Master Service Catalogue Manager for Cloud

 Abstract—Cloud computing takes the technology services and applications that are similar to those on the Internet and turn them into a self-service utility. It virtualizes systems by pooling and sharing resources and abstracts the details of system implementation from users and developers. Costs are assessed on a metered basis, multi-tenancy is enabled, and resources are scalable. Clouds can come in many different types, and the services and applications that run on the clouds are delivered by service provider. It is very important task to define services requirements and to choose service providers appropriately. Selection of a best service provider is a complex process, as it requires lots of efforts for analyzing providers policies, rules, regulations, validations security features etc. out of numbers of Providers. In this paper, we propose standardized way of representing services offered by the providers in a single unified master service catalogue, thus enabling faster and easier approach of searching a best suited cloud service provider. A master service catalog categorizes the service types along with some search options needed to be selected by customer such as customer's budget, term needed, availability requirement, monitoring facility required, security level requirement etc. All Information regarding service provider i.e. name, location, availability, scalability, elasticity, services types, security features, cost, rules, validations, policies are stored in a Real time database, and are linked with master service catalogue. Customers selected options are matched with the service providers’ information as submitted by them in real time database, using search queries and thus optimal selection will be displayed consisting of list of some suited Service providers. Customer now selects best provider using payment gateway. This will help the customer to initiate the computing by selecting services easier and faster, thus reduces the burden of selection process.
Primary Phytochemical Analysis Of Kappaphycus Sp

Kappaphycus sp. , an edible seaweed from the sea coast of Rameswaram, India was analysed for its primary phytochemical analysis. Chemical composition was carried out for estimation of proteins, fatty acids, carotene and sterol compounds. -carotene was estimated through high performance liquid chromatography where as fatty acids and sterol compounds were determined using gas chromatography technique. From the standard graph, the protein was estimated as 0.169gm/ml indicating that the protein content is quite high in red algae. Sterols were estimated on the basis of chromatographic peak areas for each with respect to total sterol peak area. The predominant sterol identified is cholesterol. From the qualitative analysis of -Carotene, it was observed that one compound is present in large besides other impurities. Results of this study suggest the utility of Kappaphycus sp. for various nutritional products for use as health food or nutraceutical supplement. [Journal of American Science 2009:5(2) 91-96] ( ISSN: 1545-1003) Key word: Kappaphycus sp, Antibacterial, Protein, Fatty acid, Sterol, -carotene
STUDY ON TEXT SUMMARIZATION USING EXTRACTIVE METHODS

 Abstract-Text summarization is a challenging problem nowadays, due to large amount of information is developed and became more widespread. Text summarization is an inventing source text into a shorter version to preserve the information contents and overall meaning. Summarization is divided into extractive and abstractive. In this paper we focus on extractive methods in text summarization. It‟s a process of choosing the important sentence and the paragraph from original source text and concatenating them into a shorter form. The techniques involved here are text summarization with neural network, fuzzy logic, regression, Graph based method, machine learning and SR ranking.
Functional peanut butter stuffed snack development based on Brazilian pine (Araucaria angustifolia) and rice flours

This study aimed to develop peanut butter stuffed snacks (PBSS)based on Brazilian pine and rice flours by extrusion cooking and evaluating its nutritional composition, shelf life and prebiotic potential. Base blend (Brazilian pine and whole rice flour, refined sugar, soy protein extract, sodium chloride and sodium bicarbonate) were adjust to 14 % moisture and processed in a co-rotating twin-screw extruder. Afterwards, the snacks were handling stuffed with peanut smooth. PBSS was assessed both by nutrition composition (moisture, protein, ash, lipids, fiber, carbohydrate, and sodium) and water activity. Food safety was assessed by count of coliforms group, Bacillus cereus, coagulase positive Staphylococcus, sulfite-reducing Clostridium and Salmonella sp. In vitro assessment of PBSS prebiotic potential was either by PBSS medium (sterile distilled water, ground PBSS, and methylene blue colour indicator) acidification or probiotic lactobacilli growth. PBSS were highlighted for low sodium and carbohydrate foodstuffs. Furthermore, PBSS had higher proportion of fiber, proteins and lipids than other gluten-free snacks available in the marketplace.In fact, PBSS is a potential food forceliac, vegan, vegetarian and low-carbohydrate diet. PBSS also show some prebiotic potential observed by PBSS medium acidification due probiotic lactobacilli activity.Therefore, PBSSconsumptioncan be associated to improving gut microbiome as well.
The factors contributing to cognitive dysfunction in type 2 diabetic patients.

Backgrounds The aim of the research was to investigate the factors contributing to cognitive dysfunction in type 2 diabetic patients, to distinguish the complex relationship between diabetic retinopathy (DR) and different cognitive status. Methods Two hundred and ninety-seven type 2 diabetes mellitus (T2DM) patients were enrolled in our study. We adopted the Clinical Dementia Rating (CDR), Mini-mental State Examination (MMSE) and Montreal Cognitive Assessment (MOCA) to evaluate the cognitive function. Firstly, cognition status was classified into dementia and non-dementia according to MMSE and CDR. Patients with non-dementia were further classified into mild cognitive impairment (MCI) and normal cognition status based on MOCA. The factors contributing to cognitive dysfunction were analyzed. Results Among the 297 T2DM subjects, 47 were enrolled in the dementia group and 174 in the MCI group according to a battery of cognitive function tests, presenting a prevalence of 15.8% and 58.6% respectively. After adjustment for age, sex, and education level, waist circumference and DR were risk factors for dementia (OR: 1.057, P=0.011; OR: 2.197, P=0.040). Low-density lipoprotein cholesterol (LDL-C) was a risk factor for MCI (OR: 1.635, P=0.047), while age at T2DM onset and moderate drinking were protective factors for MCI (OR: 0.936, P=0.044; OR: 0.289, P=0.004). Conclusions MCI is common in T2DM patients. Waist circumference and DR are risk factors of dementia, LDL-C is a risk factor for MCI, and moderate drinking and age at T2DM onset are protective factors for MCI. DR is unrelated to MCI in T2DM.
Sentiment Analysis of Twitter Data

Twitter is a popular micro blogging service where users create status messages or small text-based Web posts called tweets. Twitter currently receives in excess of340 million tweets a day, in which people share their comments regarding a wide range of topics. A large number of tweets include opinions about numerous subjects. Analyzing these tweets to extract opinions or sentiments help us determine the popularity of the subjects. This paper talks about a sentiment analyzer engine that can be used to analyze tweets. Tweets retrieved real time are classified as to belonging to one of positive, negative or neutral category using pre classified tweets as training data. The paper discusses about Naive Bayes algorithm for implementing the sentiment analyzer engine. The Sentiment analyzer engine developed can give an approximate estimation of the success or popularity of a subject. The algorithm's efficiency is mainly dependent on the quality of the training data, for the training data chosen for this project we obtained an accuracy of close to 42% with precision and recall standing out at 45.65% and 67.74% respectively.
IN VITRO ANTIOXIDANT ACTIVITY OF DIFFERENT GASTROPODS, BIVALVES AND ECHINODERM BY SOLVENT EXTRACTION METHOD

Antioxidants can protect the human body from free radicals and ROS effects. They retard the progress of many chronic diseases as well as lipid peroxidation. The commercially used synthetic antioxidants BHA and BHT have been suspected of being responsible for liver damage and carcinogenesis. Hence, a need for identifying alternative natural and safe sources of antioxidants has been created, and the search for natural antioxidants, especially of marine origin, has notably increased in recent years. The aim of this current study is to find the antioxidant effect of marine invertebrates of molluscan group comprising gastropods, bivalves and echinoderms methanolic extract using different in-vitro assays such as DPPH, reducing power and total antioxidant activity. The present findings imply that, bivalves possess higher antioxidant activity that formed as regular seafood for mankind than other groups investigated; hence, these methanolic extracts can be served as ironic agents of antioxidants and also used as pharmaceutical agents to prevent various degenerative diseases where it demands further research towards purification and mechanisms of action. INTRODUCTION: Marine organisms are considered as a vast untapped resource of bioactive molecules having enormous therapeutic potential which led to the growing interest in investigation of natural products for the discovery of immunostimulatory activity such as antioxidant, antiinflammatory and antimicrobial compounds 1 . Among marine organisms, molluscan group are widely distributed throughout the world and have many representatives in the marine and estuarine ecosystems namely slugs, whelks, clams, mussels, oyster, scallops, squids and octopus. QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.5(6). 2529-35 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.5(6). 2529-35 This rich diversity to marine organisms assumes a great opportunity for the discovery of new bioactive compounds 2 . Recently, many studies on bioactive compounds from molluscs exhibiting antioxidant, antitumor, antibacterial andantiviral activities have been reported worldwide 3-5 . Antioxidants from natural sources play a paramount role in helping endogenous antioxidants to neutralize oxidative stress 6 . The generation of reactive oxygen species (ROS) is an unavoidable consequence of life in an aerobic environment. In which, the production of ROS is essential to many organisms for the production of energy to fuel biological processes 7 . On the other hand, ROS such as hydroxyl, superoxide and peroxyl radicals are formed in human cells by endogenous factors and
House Dust Mites Avoidance and Allergic Children: A Prospective Study of a New Strategy

Less than a millimeter in size, house dust mites are found worldwide, primarily in human dwellings. They are harmless, but they give rise to potent allergens associated with several diseases [1,2], notably asthma [3,4]. In European houses, the principal species is Dermatophagoides pteronyssinus [5,6]. House dust mites thrive in dust, which accumulates in beddings, covers, blankets, mattresses, carpets, armchairs, cushions, pillows, fabrics and all padded furniture used by humans, also in places such as in teddy bears, cushions and homes in general. As well as providing a habitat for the mites, house dust also contains their food source: shed human skin scales, which become colonized by molds, yeasts and bacteria [5,6].
A Survey and Analysis on Various Objective Functions Defined for RPL in 6LoWPAN

 Abstract: Internet of things (IoT ) and Internet of Mobile things (IoMT) are the extension of ubiquitous and pervasive computing which enables various types of devices to communicate to the Internet using TCP/IP protocol stack. Since the devices in IoT are characterized with low power, low memory and buffer, they struggle to communicate using the conventional TCP/IP. The RPL proposed by IETF has become the standard routing protocol for devices which are part of 6LoWPAN (IPV6 for Low power Wireless Personal Area Networks). Due to the constrained resources such as low bandwidth and unreliable link, the network often face problems such as congestion, dropped packets, high power consumption for data transmission, decreased throughput, decreased success rate of packet delivery and increased in overall delay. Several metrics, objective functions, methodologies and enhanced protocols have been proposed in the literature to mitigate the problems encountered by the RPL. The proposed approaches either falls under energy aware or congestion aware routing using RPL. Some of the approaches fall under hybrid which attempts to minimize the energy consumption as well as congestion. In this paper we provide a deep insight into various metrics, objective functions and methodologies proposed in the literature for alleviating congestion and minimizing energy consumption for RPL and present the advantages and overheads associated with each. At the end we provide our inference on the possible scope for extensions/enhancement of routing protocol efficiency under situations like high mobility rate with diverse device characteristics.