Miracle-dz/UniFAR-FTUs huggingface dataset:
Features of Blockchain Voting: A Survey

Since people have recognized the potential of Blockchain technology, many researchers tried to find real-life applications of Blockchain. Blockchain has become famous after its first application which was Bitcoin, a digital currency based on Blockchain technology, inheriting its potential from the decentralized network. After Bitcoin, many digital currencies incepted. For many years Blockchain has been misunderstood as the public ledger which can be used for maintaining the online currency transaction record. People were less aware of the other features and so the applications of Blockchain. One of the most suitable example inheriting many features of the Blockchain is online Voting or decentralized Voting. Many researchers have proposed several solutions inheriting the diverse features of the Blockchain. Understanding the features and their importance in Blockchain Voting is an important topic that we need to concern. This features will then be used to develop a more secure and transparent voting solution.
RGANIZATIONAL FACTORS AND INTRAPRENEURIAL COMPETENCES

This study analyzes the relationship between organizational factors and entrepreneurial competencies of coordinators of undergraduate courses in two community universities in Santa Catarina, Brazil. The organizational factors studied were: management support, freedom at work, rewards, and time available and organizational limitations. Eight entrepreneurial competencies were considered; five included in an achievement set, and three in a planning set. The method was quantitative and descriptive, adopting a structured questionnaire as the data collection tool. Factor analysis, canonical analysis, and multiple regression analysis were performed. The results revealed a positive relationship between the constructs. The most relevant competencies were organizational limitations or uncertainty about tasks, and freedom at work, which indicates the importance having clarity about rules and decisions that should exist both at the level of performance expected of the coordinator, and the freedom that they must feel in their work.
Different Levels of Relationship Marketing Dimensions and Felt Utility by Customers

The purpose of this study is to identify the effect of different levels of relationship marketing on customer satisfaction of the Saderat Bank. In this study has been used causal comparative method. Statistical Society in the study is Saderat Bank customers in the city of Tabriz that in the course of the study has had account in the bank and statistical sample is non-probability random sampling from available society. Statistical sample is equal to 425. For data processing was used from one-way analysis of variance test (ANOVA). The test results show that there is significant difference between Different levels of relationship marketing dimensions and customer satisfaction.
Effect of Various Starches on the Physicochemical and Sensory Characteristics of Tomato Paste

This research had been carried out to identify the effect of starches which are one of the most important value added food ingredient used in numerous food industries, on the physicochemical and sensory characteristics of tomato paste. In this study four types of starches including potato starch, rice starch, yam starch, and corn starch with 4% along with preservatives potassium meta bi sulfite(K2O5 S2) (0.1) percent and sodium benzoate (0.1) percent were added in tomato paste to determine their effect on physicochemical and sensory attributes of tomato paste. Starch added tomato paste samples were stored at ambient temperature for three months. The samples were analyzed for their Physico-Chemical parameters with an intervals of fifteen days. The total soluble solids (TSS) and percent acidity of stored tomato paste has been increased during storage. Whereas ascorbic acid and pH was decreased. Starches influenced moisture content during the entire storage period. Results of sensory evaluation reveled that sample having potato starch and corn starch remained acceptable even after for three months of storage.
Dynamic Resource Allocation using Virtualization Technology in Cloud Computing

— Cloud computing is ubiquitous and promise a cost-effective realization of the utility computing principle, allowing users and providers easy access to resources in a self-service, pay-as-you-go fashion, thus decreasing cost for system administration and improving resource utilization and accounting. It allows business users to scale up and down the resource usage according to their need of use. In this paper we give the dynamic Resource allocation strategies and green computing technology to improve the performance.
INCIDENCE OF METABOLIC SYNDROME IN THE URBAN POPULATION OF INDORE, MADHYA PRADESH, INDIA

Objective: This study determines the prevalence of metabolic syndrome (MS), with special reference to hyperglycemia and hyperlipidemia within urban population of a tertiary health-care hospital in Indore, Madhya Pradesh, India. Methods: This cross-sectional study involved 726 subjects (467 men and 259 women). MS was defined using revised National Cholesterol Education Program (NCEP) criteria. Results: When compared with the modified NCEP criteria, the prevalence of MS was found to be 7.51% (5.99% in men and 8.11% in women). Descriptive analysis exemplified a significantly increased mean values of fasting blood glucose (p<0.01), postprandial blood glucose (p<0.01), and lipid values (p<0.05) in the population. However, as compared to man, women showed significant elevated total cholesterol (p<0.05) and high-density lipoprotein (p<0.01). On the other hand, man exhibited increased triglycerides (p<0.05), cardiac risk ratio [C/H (p<0.01), and L/H (p<0.01)] than women. The highest prevalence of MS was seen in men of age group of 55-75 years and in women of age group of 20-34 years. Conclusion: Our test population showed an increased rate of hyperglycemia and hyperlipidemia, with an increase in age, indicating a need to implement policies to control this abnormal MS.
Efficient Anomaly Detection Using Adaptive Monitoring in SDN

— Network monitoring and measurement is the key task in today’s networking scenarios due to increasing low-level intrusions. With the increase in utilization of resources and wider network bandwidth gateway for intruders also enlarges. Hence to detect the anomalies entered by the intruders inside our network a better anomaly detection mechanism must need to be implemented. Also software-defined networking is a rapidly evolving networking technology which provides a centralized platform to control the network behaviour. Using SDN it is easy to monitor the network traffic as compared to the previous existing networking scenario. For detecting anomalies efficiently, some techniques already been proposed but still a dynamic and responsive mechanism is required for intrusion free network. In this paper, a work towards the improvement of existing anomaly detection algorithm for dynamic rule updation is provided with respect to flow counting of network traffic. Also, monitoring overhead must be considered while applying monitoring policies upon the network so that network’s performance can also be maintained.
Prevalence of colour blindness among school going children aged 10-17 years in Jodhpur city Rajasthan

Color blindness in which subject is unable to clearly distinguish different colors of the spectrum. Due to this decrease performance at school, reduce employability and productivity, and generally impair quality of life. This is school age based crosssectional study to determine the prevalence of colour vision errors among school going children aged 10-17 years in government and private co-educational schools in Jodhpur city. In this study 1000 students of age 10-17years were examined. Colour vision defects were screened with help of Ishihara’s pseudoisochromatic test 38 plates. Prevalence of colour blindness was 3.2% which included 3.2% males and 0.00% females. Deutranopia was found more common than other types. All of subjects are not aware of their status of vision impairment. So this study is helpful to colour blindness students to know their disability and to adjust appropriately to overcome their difficulties. Early school screening for it is recommended.
Design and Development of Fleet Tracking and Management for Improved Productivity using Sensor Nodes

: This paper describes about the work done in design and development of low cost fleet tracking and management for improved productivity and security features.The system is divided into three major parts such as fleet tracking, fleet management and security. The problem of identifying good driver who ride the vehicle with maximum fuel consumption and security is really a hard thing for the big management.This problem is solved by the devised model. Fleet tracking is based upon the inbuilt GPS which gives accurate position of the location of the vehicle, security is made by two components such as OTP based vehicle unlocking and prevention of unlocking when the driver seems to be drunken. All the On-board sensor datais collected and send through the remote server through Wi-Fi Protocol. The gained information is breaking down and handled and send back to the proprietor of the vehicle through SMS and online administrations. The created framework is verified by the functionality with developed prototype.
Information Extraction and Interactive Visualization of Road Accident Related News

This paper describes a strategy of extracting information from raw data and visualizing them in web browser. Raw data are collected from newspaper. These raw data are in English language. By implementing text mining process specific information extracted and this process explained clearly. Derived information is specifically on road accident related news but raw data contains all kind of news. One of the significant parts of this process is to visualize retrieved information in an interactive way in web browser. Interactive geographical map, bar chart, bubble chart have used for visualizing data. Interactive data visualization helps people to understand data easily, let them take actions on the data, give comfort to their eyes as data visualization is a combination of art and science. The whole process contains two major parts – information extraction, interactive visual representation of extracted information. People can understand easily by interactive visualization at a glance. Interactive data visualization can make people more concern about road accident. There is also an evaluation part which performed in two ways, one is by measuring the accuracy of information by standard information extraction process and another way to evaluate is by taking feedback from user. It is done by reading some of the raw data files of some days and matching the similarity with the retrieved data of the same days. Some limitations of this process have been described and some improvement which can be take to extend the process and will help to go deeper level have been described in the final part. General Terms Computer Science, Data Mining.
Design and Simulation of Grid Connected PV System

In this paper, a MATLAB based simulation of Grid connected PV system is presented. The main components of this simulation are PV solar panel, Boost converter; Maximum Power Point Tracking System (MPPT) and Grid Connected PV inverter with closed loop control system is designed and simulated. A simulation studies is carried out in different solar radiation level.
Role of Stroke Unit in Reducing Post Stroke Complications

Background: Stroke is a sudden loss of brain function. Medical and neurological complications post-stroke may adversely affect outcome and in some cases may be preventable. Objectives: This study aimed to identify how treatment in an acute Stroke unit (ASU) compares with treatment in a general medical ward (GMW) can affect morbidity and mortality post stroke. Methods: We conducted a retrospective study of patients admitted at Royal hospital with acute stroke from 2009-2015. Patient data were retrieved through an electronic medical records system. The medical and neurological complications were assessed and compared for patients treated in the general medical ward (GMW) vs those treated in a recently established acute stroke unit (ASU). All cases were confirmed by detailed history, examination and brain imaging (CT or MRI). The total sample was 1544 patients. Results: There was no significant difference in the baseline characteristics of both groups with mean age of 60 years. 66.4% were men and 33.6% were women. 80.6% of overall patients had ischemic stroke (IS) while 19.4% had hemorrhagic stroke (HS). 35.9% of the patients had at least one complication. There was no significant difference in overall medical and neurological complications between the two groups. Sub-analysis of the complications showed reduction in aspiration pneumonia in the ASU group (5.7%) vs in the general medical ward (GMW) group (10.5%) (p < 0.05). However, there was an increase in cardiac arrest in the ASU group (5.1%) vs in the GMW group (1.3%) (p < 0.001). In addition, death increased from 1 case in the GMW group to 7 cases in the ASU group (p = 0.075). Conclusions: Post-stroke complications are still frequent despite treatment in the acute stroke unit. Stroke patients who received organized inpatient care in a stroke unit are less likely to develop medical complications post-stroke. However, more studies are needed.
A Review on Offline Handwritten Recognition of Devnagari Script

In country like India, where many languages and scripts exist , Devanagari is third most widely used script, used for several major languages such as Marathi ,Hindi, Sanskrit, and Nepali, and is used by more than 500 million people. Character Recognition is a process by which a computer recognizes letters, numbers, or symbols and turns them into a digital form that a computer can use and it is an active field of research today. It comprises of Pattern Recognition and Image Processing. Character Recognition is broadly categorized into Optical Character Recognition (OCR) and Handwritten Character Recognition (HCR). OCR system is most suitable for the applications like multi choice examinations, printed postal address resolution etc, while application of HCR is wider as compared to OCR. Feature extraction and classification are essential steps of character recognition process affecting the overall accuracy of the recognition system. There is not much work has been done towards off-line handwriting recognition of Devanagari script. This paper gives a detailed overview of different feature extraction and classification techniques for recognition process Devanagari script by the researchers over the past few decades.
Improving Access Efficiency of Small Files in HDFS

— The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to streamthose data sets at high bandwidth to user applications. It is designed to handle large files. Hence, it suffers performance penalty while handling a huge number of small files. Further, it does not consider the correlation between the files to provide prefetching mechanism that is useful to improve access efficiency. In this paper, we propose a novel approach to handle small files in HDFS. The proposed approach combines the correlated files into one single file to reduce the metadata storage on Namenode. We integrate the prefetching and caching mechanisms in the proposed approach to improve access efficiency of small files. Moreover, we analyze the performance of the proposed approach considering file sizes in range 32KB-4096KB. The results show that the proposed approach reduces the metadata storage compared to HDFS.
A study of hematological parameters and their correlation with thyroid hormone status in non-pregnant women of childbearing age

Introduction: Thyroid imbalances and anaemia due to their high prevalence and close interrelationship constitute a good proportion of problems encountered by practitioners, especially in the female reproductive age group. In a developing country it becomes all the more important to study the relationship between the same as correction of the hormonal imbalance may restore the deranged haematological parameters to normal. Aims and Objectives: To compare the haematological parameters among the various thyroid hormonal statuses (euthyroid hypothyroid and hyperthyroid) in non-pregnant females. Materials and Methods: 50 non pregnant females between ages of 18–45 years newly diagnosed with hypothyroidism and hyperthyroidism were taken up for the study. 50 normal age matched females with normal thyroid hormonal levels were taken as controls. The haematological parameters of the three categories were further compared with a p value of <0.05 taken as significant. Results: There was significant variation in the haematological parameters like Haemoglobin, RBC count, total count highest between the hyper and hypothyroid groups. RDW and AEC was significantly more in hypothyroid groups though within normal limits. No significant variation was seen for MCV indicating the type of anaemia in the hypothyroid group to be of the normocytic type. Conclusion: Thyroid dysfunction has effect on haematological parameters. Evaluation of anaemia in females must include screening for thyroid dysfunction.
METAPHORICAL APPROACHES IN MEANING ARCHITECTURAL PRODUCTION

This paper tries to look at the concept of metaphor for the formation of meaning in architectural production. The study follows a theoretical and analytical research method in order to develop discursive formation and an attempt is made to create a conceptual discussion environment through the samples. The qualitative data of the work are derived from the contemporary architectural literature. And the notion of metaphors is approached through selected examples of contemporary architecture and this concept is discussed through the implications of design. What is important here is the question of the relation of the metaphor to the whole architecture and how the metaphor should affect the architectural meaning. Or, in other words, how necessary and effective the metaphor is for the work to be understood by the reader and for the creation of an aesthetic clause. In this context, the question of how metaphor use plays a role in architectural production can be regarded as always questionable.
Effect of MMSE-STSA Algorithm in CELP and MELPSpeech Coders

— The role of speech coding is to reduce the bit rate by maintaining good speech quality. In order to improve the perceptual quality of degraded speech, different speech enhancement methods can be used. So, it is worthwhile to do research in joint systems (Speech Enhancement and Low bit rate speech coders). The work reported in this paper shows the improvement in the perceptual quality of speech coder outputs by incorporating speech enhancement technique. The simulation results of Code Excited Linear Prediction (CELP) and Mixed Excited Linear Prediction (MELP) speech coders with Minimum Mean Square Error Spectral Amplitude Estimator (MMSE-STSA) enhancement technique is analyzed in terms of objective quality measures and using PRAAT software.
Cryptography Algorithms – The Science of Information Security: Review Paper

: Cryptography is the study of techniques which is used to communicate, store information or data securely, without being intercepted by third parties. In the real world, there are so many organizations working on large databases over a public network. The security of data is the primary concern in the public network. Encryption is the most commonly used technique where transactions continuously take place between the users. Other cryptography techniques like digital time-stamping, digital signature, digital certificates etc., are also used for security purpose. In this paper, we have compared four Public-Key cryptosystem i.e. RSA, Diffie -Hellman Key Exchange, Elgamal Cryptographic System, and Elliptical Curve Cryptography. This paper performs security analysis of the above public key cryptosystem and concluded that ECC is the most efficient public-key cryptosystem. It provides high security solutions that do not impact performance even on constrained devices where storage, computing power and bandwidth are limited such as PDA sand cell phones.
PHARMACOLOGICAL PROFILE OF WITHANIA SOMNIFERA – A REVIEW

Withania somnifera (Ws) belonging to the family Solanaceae is traditionally known as Amukkara Kizhangu in Siddha sytem of medicine. It is a short herb that grows naturally around the Indian subcontinent. It has been used for centuries in India as an adaptogenic herbal remedy to improve overall health, vitality and longevity. Use of Amukkara kizhangu can be traced back to at least 4000 years. It has been used predominantly as an adaptogen for therapeutic purposes in Siddha. It benefits our health in various ways. The plant is believed to improve memory, support the immune system and generally aid in optimizing the physiological functions of the body. Historically, the herb has also been used as a sex enhancing tonic owing to its potent activity as an aphrodisiac. It also possesses Antiparkinsonism, Antioxidant, Anti inflammatory, Anti tumour, Hypnotic, Sedative, Memory enhancing, Aphrodisiac, Diuretic, Febrifuge properties. Various other effects like Hypolipidemic, Antibacterial cardiovascular protection also been studied. This review article is presented to compile all the updated information on its phytochemical and pharmacological activities.
APPENDIX-II Outdoor Scene Image Segmentation-State of the Art

In the field of computer vision, the process of partitioning a digital image into multiple sections is called as image segmentation. The basic objective of segmentation is to simplify and/or change the representation of an image into something that is more important and easier to analyze. Image segmentation is typically used to locate objects and background in images. More exactly, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share homogeneous features. This paper describes the different segmentation techniques used to achieve outdoor scene image segmentation.
Preclinical evidence of a rapid-onset antidepressant-like effect of Pseudospondias microcarpa hydroethanolic leaf extract in a chronic depression model

Background: Depression is a widespread, devastating mental illness and currently available treatments have significant limitations including low response rates and delayed onset of action. N-methyl-D-aspartate (NMDA) receptor antagonists exert fast-acting antidepressant effects. Pseudospondias microcarpa produces an antidepressant-like effect via inhibition of the glycine/NMDA receptor complex, and could therefore possess a rapid onset of action. Therefore, the present study investigated the possible rapid-onset antidepressant action of P. microcarpa in mice. Methods: In this study, rapid-onset and sustained antidepressant effects of the hydroethanolic leaf extract of P. microcarpa (PME) was investigated in the open-space swim test, a chronic model of depression. Antidepressant effect was further assessed in the tail suspension test (TST). In addition, the effect of the extract on cognitive function in the Morris water maze (MWM) test was investigated. Results: Depressed mice showed a significant increase in immobility and decrease in distance swum. However, treatment with PME and the classical antidepressants significantly decreased immobility time and increased distance swum. Furthermore, unlike the classical antidepressants which required 10-14 days to significantly improve mobility behaviour, PME treatment significantly decreased immobility time (P<0.001) on the first day of treatment (day 5 of stress procedure). This effect was also sustained for the remainder of the experiment. The extract also significantly decreased immobility time in the TST (F3,16=4.881, P=0.0135) and decreased escape latency (F4,24=12.07, P<0.0001) in the MWM procedure. Conclusions: The leaves of P. microcarpa exhibits rapid and sustained antidepressant effects and improve cognitive function in depressed mice.