Miracle-dz/UniFAR-FTUs huggingface dataset:
Review of Advanced approach in Minimal Connected Dominating set based Algorithm in MANET for Efficient Routing

A wireless ad hoc network is a notable type of network in which a collection of mobile nodes with wireless network interfaces may form a temporary network, without use of any fixed infrastructure or centralized control. The Dynamic Source Routing protocol (DSR) is a efficient routing protocol explicitly designed for multi-hop wireless ad hoc networks of mobile nodes. A connected dominating set (CDS) is used to reduce broadcast overhead in the network. In this paper, we have narrated the design of multi-hop routing in mobile ad hoc network with the help of MCDS.
Understanding user acceptance of mobile alerting systems

Even though the adoption of emergency alerting systems may improve the safety and security of individuals, participation in existing systems that utilize mobile alerting in universities in USA varies and does not match the high adoption rate of mobile phone technology itself (Sullivan, Häkkinen & Piechocinski 2009; Wu, 2009). As the adoption of mobile alerting system (MAS) can be viewed as a critical life safety benefit, there is motivation to better understand factors that affect the acceptance of MAS. Among the possible, alternative methods of implementing mobile alerting, an opt-in type of system can enable the alerting process to be executed in a way that is more suitable and useful for a diverse community of individuals. As a result of this study, a refined version of technology acceptance model (TAM) is proposed, extended with factors of perceived trust and perceived financial cost to better interpret the acceptance of MAS. This model is being evaluated in ongoing research on MAS in a university and community context.
Role of Tissue Doppler and Strain/Strain Rate Imaging in the Assessment of the Effects of Obesity on Left Ventricular Structure and Myocardial Systolic Function

Aim: Obesity is a major contributor to the global burden of disease and disability. Objectives: Assessment of subclinical effects of obesity on left ventricular structure and systolic function by strain and strain rate tissue Doppler imaging. Patients and methods: Fifty obese patients with body mass index >30 kg/m² and without cardiovascular disease were included. Twenty five patients of this group were severely obese (BMI>35 kg/ m²) and another 25 were mildly obese (BMI 30-35 kg/m²). Another 50 age-and sex-matched healthy volunteers (BMI <25 kg/m²) were included as a control group. Conventional echodopplercardiography and tissue Doppler strain/strain rate imaging were done. Results: Obese persons have a larger LV mass and LV mass index and a significant direct correlation was found between body mass index and left ventricular mass index there was significant reduction in the mean systolic myocardial velocity in the obese group versus non obese groups. Mean systolic strain was significantly lower in the obese group versus non obese. Mean systolic strain rate was significantly lower in obese group versus non obese groups. Global longitudinal strain & average peak systolic strain rate was lower in obese versus non obese groups and a significant inverse relation was found between body mass index and the peak systolic velocity of strain and strain rate. Conclusions: strain and strain/rate tissue Doppler imaging can predict sub-clinical cardiac functional and structural changes in obesity.
FACTOR ANALYSIS SCORES IN MULTIPLE LINEAR REGRESSION MODEL FOR PREDICTION OF FACULTY PERFORMANCE IN HIGHER EDUCATION INSTITUTIONS

Performance evaluation of faculty in higher education institutions is a challenge for education managers considering the diversity of disciplines. Though University Grants Commission (UGC) has given a format based on Academic Performance Indicators (API) many a times education managers face uncertainty in making decisions on the quality of performance as the scores are numerical and do not consider the subjective component involved in teaching learning process. The API format also includes several criteria like teaching, co curricular, research and feedback. The score of faculty across all these criteria indicates their overall performance which is used in decision making with regard to increment, promotion, etc. Measuring performance without considering the variation in each of these criteria may not yield good decisions. Hence, a statistical model which can assess the dependency and independency of the criteria was used to evaluate which of these criteria have maximum influence on the overall performance scores of the faculty. In this study, multiple linear regression model is used to assess faculty performance wherein the total score of the faculty API score is taken as dependent variable and the teaching learning evaluation, co curricular activities, research and feedback are considered as independent variables. Factor scores obtained by factor analysis were used for multiple linear regression analysis using the SPSS software.
A STUDY ON FACIAL EXPRESSION RECOGNITION TECHNIQUES

: Automatic facial expression recognition has turn into a progressive research area since it plays a major role in human-computer-interaction. The facial expression identification discovers major application in areas like social interaction and social intelligence. A study of a range of methods used in facial expression identification like principal component analysis (PCA), linear discriminant analysis (LDA) is made in this paper. The study is represented in a table form for speedy reference.
Evaluation of smooth lipopolysaccharide based latex agglutination test in serodiagnosis of brucellosis

In this study, sLPS antigen coated latex bead was prepared and their evaluation was done along with RBPT, commonly employed for the serodiagnosis of brucellosis. sLPS was extracted from Brucella abortus S99 and coated on polystyrene latex beads in a phosphate buffer saline coating buffer. A total of 200 samples were collected from unorganized dairy farm and tested with RBPT and sLPS based latex agglutination test. The accuracy, relative sensitivity and specificity of sLPS based LAT were found 99%, 93.55% and 100% respectively . This study conclude that sLPS based LAT can be used as an alternative screening test for bovine brucellosis.
Fuzzy Ranking Based Real Coded Genetic Algorithm for Combined Economic Emission Dispatch with Loss Minimization

82 Abstract— In this paper, fuzzy ranking based real coded genetic algorithm is proposed to deal with multi-objective problem of fuel cost, emission and system loss minimization. Emission substances like NOX, CO2, SO2, power balance constraint and generation capacity constraints are considered here. This tri-objective problem is converted into single objective problem known as Combined Economic Emission Dispatch (CEED) with loss minimization by introducing novel price penalty factor (PPF). Due to the conflicting behavior of the objectives, set of Pareto optimal solutions is obtained instead of getting the single optimal solution. In order to extract the best compromise solution out of the available non-dominated solutions depending upon its highest rank, fuzzy ranking approach is employed. Several optimization runs have been carried out on standard IEEE-30 bus system by identifying three test cases. The results demonstrate the capability of proposed method to generate well distributed Pareto optimal non-dominated solutions of multi-objective problem. The comparison with the reported results confirms its potential in solving other power systems multi-objective optimization problems.
MANAGEMENT OF CCL4 INDUCED HEPATOTOXICITY ON WISTAR RATS USING METHANOL EXTRACT OF Pleurotus ostreatus CULTIVATED WITH EXTRACT OF Allium cepa

This study was designed to assess the ameliorating properties of methanol extract of Pleurotus ostreatus cultivated with extract of Allium cepa on liver function test of CCl4 induced hepatotoxity in wistar albino rats. Seventy wistar albino rats were used for the study and were grouped into 7 of ten rats each. Groups 2-7 received a dose of 0.3ml/kg body weight (b.w) of CCl4 in 1:1 olive oil intraperitoneally twice a week. Groups 3, 4, 5 and 7 orally received a dose of 100mg/kg b.w, 200mg/kg b.w, 300mg/kg b.w and 200mg/kg b.w of methanol extract respectively. Groups 6 and 7 orally received a dose of 5.2mg/kg b.w of livolin and group 7 orally received a dose of 50mg/kg b.w of vitamin C. These drugs were administered for 30 days and the following biochemical markers; Alanine Amino Transferase (ALT), Aspartate Amino Transferase (AST), Alkaline Phosphatase (ALP), Direct and Total Bilirubin (DBIL and TBIL), Total Protein (TPRO) and Albumin (ALB) were estimated on day 10, 20 and 30 after treatment. The values of ALT, AST, ALP, DBIL and TBIL were significantly increase at p<0.05 on day 10, 20 and 30 in group 2 compared to group 1 and the values of TPRO and ALB significantly decreased at p<0.05 on day 10, 20 and 30 in group 2 compared to group 1. The values of ALT, AST, ALP, DBIL and TBIL significantly decreased at p<0.05 on day 10, 20 and 30 in groups 3,4 5,6 and 7 compared to group 2 and the values of TPRO and ALB significantly increased at p<0.05 on day 10, 20 and 30 in groups 3, 4 5 ,6 and 7 also compared to group 2. The histopathology findings showed that there were marked distortion of hepatocytes in group 2 on day 30 and there were regeneration of hepatocytes treatment groups especially group 5 on day 10, 20 and 30. These findings suggest that methanol fruiting body extract of Pleurotus ostreatus cultivated with extract of Allium cepa possesses hepatoprotective properties and can be used to manage cases of liver damage.
FIDSM: Fuzzy based Intrusion Detection Systems in Mobile Ad Hoc Networks

Security of mobile ad hoc networks is more challenging task due to its complex properties. In mobile ad hoc networks, intrusion detection system is known as the second line of defense because prevention based techniques are not a good solution for ad hoc networks due to its complex characteristics. For the security point of view, many intrusion detection systems have been proposed to mobile ad hoc networks in literature. This paper analyzed the proposed fuzzy logic based intrusion detection systems in mobile ad hoc networks.
Framework Assessment And Index Of Knowledge Management Of Small Farmers In The Agricultural Area

Knowledge Management (KM) in agriculture is an establishing system for creating, documenting, classifying, and disseminating knowledge, required for synergy of the development of technological innovation dissemination. KM framework requires assessment as a basis for the KM system in agricultural areas as efforts to determine the effectiveness of the system need to have a KM index which serves to represent conditions in the field. This study aims to determine the framework and KM index of small farmers in agricultural areas. Also, evaluating it as a basis for KM systems requires framework assessment in agricultural areas; therefore, the effectivity determination requires a KM index which represents the conditions in the field. The design process uses a Delphi method through the stages, as well as in-depth interviews with 15 experts, observations, and Focus Group Discussion. The result reveals the form of KM index measurement variables within agricultural areas. First, acquisition with indicators of all group member participation in all related activities. This process occurred within and outside the organisation, using a systematic approach. Second, storage with signs of knowledge access owned by all members, which are easily traceable and digitally stored, as well as the existence of information security mechanism. Third, distribution with indicators source, material clarity, and the delivery methods used. And fourth, application with indicators of precise regulation, utilising information technology. The average index results based on the reference of American Productivity and Quality Center (APQC)'s level of Knowledge Management Maturity KM obtained level 3 which is standardisation with the dominant indicator being the acquisition indicator. This study concludes the KM framework in the agricultural area has four variables, and the km level index is at level 3.
A Novel Colour Image Embedd for Chip

In recent years, chip less RFID mark located based on genetic algorithm (GA) optimization system is used. The genetic algorithm is fit and facility to arrangement a band of frequency domain chippers card like QR display. The resultant card supports an extend 30 mm × 30 mm and reside of lattice limited metallic pieces arranged randomly over a 60 × 60 bit design frame a collection of advanced structured. The frequency signature of the GA-based mark is optimized to consistent with an FSK-based ciphering process and a magnitude of 8 segments is acquired. The construct of the resultant mark is proven. Optimum mark model made in silver down flexible bases, serigraphy, which is a large consistent performance procedure. The possibility of this optimization system for the pattern of chip less RFID label is affirmed.
Engineering Properties of Expansive Soil, Stabilized with Rice Husk Ash and Lime Sludge

In India, one-fifth of our land area is covered by black cotton soil which is also known as expansive soil. These soils are mostly found in arid and semi-arid regions. These soils are found to be highly problematic in constructional activities. It causes severe damages to the structure because of its alternate swelling and shrinkage nature. This happens due to alternate drying and wetting of soil. To avoid these circumstances, soil must be stabilized and strength is to be increased. Soil can be modified or improved by many methods which include mechanical methods, use of chemicals or wastes as stabilizing agent etc. From the above said methods, improvement to soil by using waste material is beneficial and effective one. In our country, wastes are generated from various ways. It includes domestic wastes, industrial wasters, agricultural wastes etc. It is very difficult to dispose these wastes without affecting the environment and its surroundings. To overcome these problems, it can be used as a stabilizing agent in the soil. By using the wastes as stabilizing agent, it not only increases the strength of soil but also paves way in reducing the construction cost, easy way for waste disposal and turns the environment to be eco-friendly. This paper presents about an experimental study carried out to find the effect of Rice Husk Ash (RHA) which is an agricultural waste on index and engineering properties of the expansive soil. The properties such as compaction, California bearing ratio, unconfined compressive strength is determined with partial replacement of RHA in black cotton soil at various percentages(2.5%, 5% etc) in addition of lime in small amount to it at a constant rate of 2%. On the results achieved, it gives a conclusion that the Optimum moisture content (OMC) increases with the addition of RHA in soil. The California Bearing ratio is also having a tremendous increase in strength with soil mixed with RHA and the optimum percentage of RHA with soil is found to be 5% and RHA with lime and soil is found to be 10% effectively. Thus a promising and improving result is obtained in stabilizing the soil with Rice Husk Ash in both cost and strength evaluation. keyword : lime,rice husk ash, black cotton soil,water.
Processor Scheduling Algorithms in Environment of Genetics

— The efficiency of the operating system of a computer depends on many contributing factors. The process scheduling or task scheduling for processor or CPU is the main factor that mostly affects the efficiency of CPU. Many types of scheduling algorithm is used for CPU scheduling. Each scheduling algorithm, allocates the processor to processes on the basis of some type of scheme to increase the efficiency of system. In this paper genetic algorithm is used at the places of other scheduling algorithms to increase the efficiency of system. In genetic algorithm different types of encoding, crossover and mutation operations are used. Firstly, we find out the minimum waiting time for any number of processes using genetic algorithm than compare it to the waiting time of First Come First Serve and Shortest Job First scheduling algorithm.
Computer Vision System for Driver Fatigue Detection

—One of the leading reasons for traffic accidents is distracted attention of driver. As day by day numbers of vehicles on road are increasing, the proportion of number of accidents is also increasing. Drivers with a low vigilance level suffer from marked decline in their abilities of perception, recognition, and vehicle control and gives critical situations to their own life and the lives of others. This project aims to design a system which can actively monitors driver vigilance level and alert the driver for any insecure driving condition. Methodology for drowsiness detection of driver is based on viola jones algorithm for face and eyes detection. System is developed using video camera, Raspberry Pi hardware, and open source computer vision library (OpenCV) and Microsoft visual studio. This paper presents a real-time non-intrusive driver monitoring system which explores the driver’s facial expression to detect and alert fatigued drivers.
Identifying the presence and timing of discrete mood states prior to therapy.

The present study tested a novel, person-specific method for identifying discrete mood profiles from time-series data, and examined the degree to which these profiles could be predicted by lagged mood and anxiety variables and time-based variables, including trends (linear, quadratic, cubic), cycles (12-hr, 24-hr, and 7-day), day of the week, and time of day. We analyzed ambulatory data from 45 individuals with mood and anxiety disorders prior to therapy. Data were collected four-times-daily for at least 30 days. Latent profile analysis was applied person-by-person to discretize each individual's continuous multivariate time series of rumination, worry, fear, anger, irritability, anhedonia, hopelessness, depressed mood, and avoidance. That is, each time point was classified according to its unique blend of emotional states, and latent classes representing discrete mood profiles were identified for each participant. We found that the modal number of latent classes per person was three (mean = 3.04, median = 3), with a range of two to four classes. After splitting each individual's time series into random halves for training and testing, we used elastic net regularization to identify the temporal and lagged predictors of each mood profile's presence or absence in the training set. Prediction accuracy was evaluated in the testing set. Across 127 models, the average area under the curve was 0.77, with sensitivity of 0.81 and specificity of 0.75. Brier scores indicated an average prediction accuracy of 83%.
Permeability and Antifouling Augmentation of a Hybrid PVDF-PEG Membrane Using Nano-Magnesium Oxide as a Powerful Mediator for POME Decolorization

This study focused on developing a hydrophilic hybrid polyvinylidene fluoride (PVDF)-polyethylene glycol (PEG) hollow membrane by incorporating Nano-magnesium oxide (NMO) as a potent antifouling mediator. The Nano-hybrid hollow fibers with varied loading of NMO (0 g; 0.25 g; 0.50 g; 0.75 g and 1.25 g) were spun through phase inversion technique. The resultants Nano-hybrid fibers were characterized and compared based on SEM, EDX, contact angle, surface zeta-potential, permeability flux, fouling resistance and color rejection from palm oil mill effluent (POME). Noticeably, the permeability flux, fouling resistance and color rejection improved with the increase in NMO loading. PVDF-PEG with 0.50 g-NMO loading displayed an outstanding performance with 198.35 L/m2·h, 61.33 L/m2·h and 74.65% of water flux, POME flux and color rejection from POME, respectively. More so, a remarkable fouling resistance were obtained such that the flux recovery, reversible fouling percentage and irreversible fouling percentage remains relatively steady at 90.98%, 61.39% and 7.68%, respectively, even after 3 cycles of continuous filtrations for a total period of 9 h. However, at excess loading of 0.75 and 1.25 g-NMO, deterioration in the flux and fouling resistance was observed. This was due to the agglomeration of nanoparticles within the matrix structure at the excessive loading.
A Modified Approach in Watermarked Image using Fractal Technology

: Now a day’s means of communication refers to digitization of communication i.e. digital communication or digital media which can be in the form of Image, Audio, and Video. Since the digitization is making human life easier so take the security concern. The main issue is to make your life digital but with protection and highest security. In this paper we are going to implement our idea which concern about secure communication. For this we proposed an algorithm which will use video watermarking with a new technology called fractal technology. We will be using fractal images as watermarked images to make this work more effective since the fractal images is itself motion images it will be tough for unauthorized personal to breach the owner identification of copyright contents.
The Irruption of Cryptocurrencies Into Twitter Cashtags: A Classifying Solution

There is a consensus about the good sensing characteristics of Twitter to mine and uncover knowledge in financial markets, being considered a relevant feeder for taking decisions about buying or holding stock shares and even for detecting stock manipulation. Although Twitter hashtags allow to aggregate topic-related content, a specific mechanism for financial information also exists: Cashtag (consisting of the company ticker preceded by $) is a supporting mechanism to track financial tweets referring to a company listed in a stock market. However, according to our experiments and due to the lack of conventions in cashtags usage, the irruption of cryptocurrencies has resulted in a significant degradation on the cashtag-based aggregation of posts. Unfortunately, Twitter’ users may use homonym tickers to refer to cryptocurrencies and to companies in stock markets, which means that filtering by cashtag may result on both posts referring to stock companies and cryptocurrencies. This research proposes automated classifiers to distinguish conflicting cashtags and, so, their container tweets by analyzing the distinctive features of tweets referring to stock companies and cryptocurrencies. As experiment, this paper analyses the interference between cryptocurrencies and company tickers in the London Stock Exchange (LSE), specifically, companies in the main and alternative market indices FTSE-100 and AIM-100. Heuristic-based as well as supervised classifiers are proposed and their advantages and drawbacks, including their ability to self-adapt to Twitter usage changes, are discussed. The experiment confirms a significant distortion in collected data when colliding or homonym cashtags exist, i.e., the same $ acronym to refer to company tickers and cryptocurrencies. According to our results, the distinctive features of posts including cryptocurrencies or company tickers support accurate classification of colliding tweets (homonym cashtags) and Independent Models, as the most detached classifiers from training data, have the potential to be trans-applicability (in different stock markets) while retaining performance.
COMPARATIVE STUDY ON WAVELET BASED IMAGE COMPRESSION TECHNIQUES: A REVIEW

Image compression has become an important operation in the area of image processing. Wavelet plays a crucial role in compression. In this paper presenting and comparing various image compression techniques by using wavelets with their PSNR values and compression ratios. Uncompressed multimedia data requires considerable storage capacity and transmission bandwidth. To reduce the storage capacity and transmission bandwidth various compression techniques are proposed. In this study we discuss different compression algorithms used to reduce size of images without quality reduction