Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination of Pb, Hg, Cd, Cu, Ni and V in Periwinkle (Tympanotonus fuscatus), Crab (Callinectes pali) and Fish (Rhodeus amarus) from Bodo River

This study was carried out to determine the concentration of Lead (Pb), Mercury (Hg), Cadmium (Cd), Vanadium, (V), copper (Cu) and Nickel (Ni) in periwinkle (Tympanotonus fuscatus), crab (collinect pali)) and fish (Rhodeus amarus) harvested from Bodo River. The samples were de-shelled and then oven dried at 80 0 C, thereafter homogenized into powder. Two grams (2g) each of the samples were digested with 10% hydrochloric acid (HCl) and analyzed using Atomic Absorption Spectrophotometer, Model SU 71906. The result showed that the concentration of Ni in Crab, periwinkle, fish-muscle and fish-liver were 4.203±0.004ppm, 3.919±0.077ppm, 3.240±0.007ppm and 3.218±0.022ppm respectively followed by Cu in which its concentration in periwinkle, Crab, Fish-liver and Fish-muscle were 4.476±0.006ppm, 3.428±0.003ppm, 2.063±0.050ppm, and 1.56± 0.023ppm respectively. This was followed by Pb in which it concentration in crab, periwinkle, fish-liver and fish-muscle were 3.859±0.053ppm, 2.427±0.006ppm, 1.189±0.015ppm, and 0.895±0.019ppm respectively. This was followed by Cd in which it concentration in periwinkle, Crab, fish-liver and fish muscle were 0.0261±0.001ppm, 0.0176±0.001ppm, 0.017±0.000ppm, and 0.00995±0.003ppm respectively. Followed by V in which it concentration in Crab, Periwinkle, Fish-liver and Fish-liver were 0.0065±0.001ppm, 0.0049±0.002ppm, 0.0051±0.000ppm, and 0.0016±0.000ppm respectively. This was followed by Hg in which it concentration in Crab, Fish-liver, Fish-muscle and periwinkle were 0.00395±0.000ppm, 0.00295±0.000ppm, 0.0021± 0.002ppm and <0.001±0.000ppm respectively. The concentrations of the elements were more in the shellfish and the fish-liver and the lowest values were observed in fish-muscle. In all, Ni, Cu and Pb concentrations were higher than the permissible limit set by WHO, FAO, FEPA, NAFDAC, and UNEP respectively, while the values for Cd, Hg and V were found to be lower than the permissible limit set by WHO and UNEP. From this research, it therefore shows that Bodo River is polluted with heavy metals. Therefore care should be taken in the consumption of fishes from Bodo River to avoid too much exposure of these elements. And also more research should be carried out on bio-remediation of heavy metals in aquatic environment.
Design And In- Vitro Evaluation Of Mucoadhesive Buccal Tablets Of Carvedilol

Mucoadhesive buccal tablets of carvedilolwere prepared by direct compression method. Carbapol 974P, chitosan, were used as a polymers and cross carmalose sodium as a superdisintegrating agent. Tablets were then evaluated for various physicochemical parameters such as drug content (100±0.28%), hardness (5.09±0.55 kg/cm2), weight uniformity (100 ±0.35mg), thickness (2.14±0.10 mm), and friability (0.31%). Prepared formulations were evaluated for the release of drug in phosphate buffer pH 6.8 using USP type-II dissolution apparatus. Optimum formulation consisted of carvedilol(6.25mg),carbapol 974P and chitosan in 3:1 praportion showed a maximum drug release after 8 hrs. Cross Carmalose sodium was used to accelerate the release of drug from polymer matrices. Maximum swelling was attained in 5 hrs. The highest bioadhesive strength i.e. 0.956 N was possessed by optimum formulation. Decreasing the content of carbapol 934P resulted in decreased in adhesion force. The surface pH of tablets of all batches was between 5 and 7. Good correlation was observed betweenin-vitro drug release and drug permeation with a correlation coefficient of 0.9928. Results indicate that the release rate from optimum formulation best fitted zero order rate kinetics. In conclusion, in-vitro release profile indicate that this novel delivery system is useful formulation, which can by-pass the first pass metabolism and enhance the release of drug for extended period of time.
DESIGN VERIFICATION OF DIGITAL SYSTEMS BY SOFTWARE TESTING TECHNIQUES

With rapid advances, the complexity of digital systems has been increased dramatically; therefore the verification of behavioural models is an important step before transferring a hardware design to the layout. This paper discusses software testing technique for verification of digital systems. The Design verification is the process of proving the correctness of the digital system design. Moreover software verification of system designs before they are fabricated on chips reduces time and money costs related to chip testing. In this paper White Box Testing is applied for verifying and validating digital systems as per requirements of the user.
Wavelet Based Neural Networks for Daily Stream Flow Forecasting

--Unlike other hydrological time series data, rainfall and runoff time series data are highly variable spatially and temporally. However, stream flow measuring point is fixed in a river, therefore mapping of temporal variability of runoff can be handled with suitable algorithms. Time series analysis requires mapping complex relationships between input(s) and output(s), because the forecasted values are mapped as a function of patterns observed in the past. In order to improve the precision of the forecasts, a Wavelet Neural Network (WNN) model, based on a combination of wavelet analysis and Artificial Neural Network (ANN), has been proposed. The WNN and ANN models have been applied to daily runoff in the West flowing Rivers of India. The calibration and validation performance of the models is evaluated with appropriate statistical indices. The results of daily runoff series modelling indicated that the performances of WNN models are more effective than the ANN models. Further, WNN model performance has been evaluated separately for Low, Medium and High runoff values and found that the selected model is suitable for various runoff patterns from a catchment.
Media Storage Efficiency and Level Fingerprint Similarity in Network Forensic Analysis using Winnowing Multihashing Method

Network forensics is a developing network security models that focused on the capture, recording, and analysis of network traffic, for the purposes of investigation. One of the problems in the Network forensics is the quantity or volume of data problems. Winnowing Multi hashing method can be used to conduct an investigation of attacks on the network forensic analysis. Value of Fingerprint is generated on Winnowing method Multi hashing (WMH), can be used as a marker of an attack that was captured by the Intrusion Detection System (IDS). WMH is a method that only takes excerpt of a payload. With this algorithm, the payload volume will be much more efficient because it only stores the fingerprint alone. This research is focused on the calculation of the efficiency of the storage medium and the optimum point combination fingerprint length, degree of similarity and storage media.
ECG BEAT CLASSIFICATION USING CROSS-WAVELET AND LVQ

This paper describes an automatic classification system based on combination of cross-wavelet and Learning Vector Quantization (LVQ) for the purpose of automatic heartbeat detection. The feature extractor is based on cross-wavelet approach, using the time frequency information. The ANN classifier uses a Learning Vector Quantization (LVQ) method which classifies the ECG beats into two categories: normal beats and abnormal beats. The ECG (electrocardiogram) signals in the MIT-BIH arrhythmia database are adopted as reference data. Total 98530 heart beats are used for testing the above classifier. The total classification accuracy (TCA) was about 91.66%
Embedded Monitoring Based Rehabilitation System System

Physiotherapy is required for individuals suffering from the orthopedic intervention. In this paper the main target goes to make restoration of patient’s practical capability by doing exercises. By using the System that mentioning in the paper presents, for the patients to do their physiotherapy exercises within the home itself. In this paper, we are presenting a straightforward to use and cost effective system for the physically disabled persons. This equipment can be used for finding the range of the movement of the muscle of the patient. Keywords— AT mega 16 microcontroller, feedback training system, range of motion, strain gauge, and theraband tube.
Role of Serotonin (5-HT) in Hypoxic and Hypercapnic Ventilatory Responses

Recent observations from in vitro rodent preparations suggest an important role for the serotonin-2A (5-HT2A) receptor in eupneic (basal) and gasping respiratory activities, although the precise role appears to be different amongst preparations. Since these in vitro preparations are typically supplied with artificial cerebrospinal fluid (aCSF) containing elevated (and different) levels of K to increase neuronal excitability, the role of endogenous activation of 5-HT2A receptors in these respiratory behaviors under “normal” levels of extracellular K ([K]o) requires clarification. This investigation sought to evaluate the influence of [K]o on the 5-HT2A receptor-mediated effects onbasal respiratory activity and the phases of the hypoxic ventilatory response (HVR), including ischemia-induced gasping using an arterially-perfused adult rat preparation. Our data demonstrate that at each level of [K]o examined, 5-HT2A receptor blockade increases basal phrenic burst frequency, decreases amplitude, alters burst pattern, and eliminates the phases of the HVR, supporting an important role for 5-HT2A receptors in respiratory control, and indicating its independence on [K]o.
Analysis of the Energy Efficiency and Packet Error Rate in Amplify-and-Forward MIMO Relay Networks

In this paper, we focus on the energy efficiency issues in cooperative multiple-input multiple-output (MIMO) relay networks. We employ an amplify-and-forward (AF) relay scheme, where a static multiple antennas relay station cooperatively forwards the relaying packets to the destination. Under the assumption of Rayleigh fading channels and time division multiplexing (TDM), we analyze the effect of average received signal-to-noise ratio (SNR) on energy efficiency. We derive the new exact closed form expressions for the packet error rate and energy efficiency in terms of SNR and Q antennas. Subsequently, we validate our analysis by performing Monte Carlo methods. The simulation results demonstrate that the proposed scheme achieves a significantly higher efficiency performance, when compared with the existing relay schemes.
Group Movie Recommendations via Content Based Feature Preferences

—Most research into Recommender systems has focused primarily on delivering recommendations for individuals. However generating recommendations for a group of individuals is becoming increasingly important and recently there have been several forays into the area of group recommender systems. Many of these approaches are based on some adaptation of the basic collaborative filtering strategy to guess the liking of a group. However content information when available may complement the CF techniques in delivering better quality results. This paper, therefore proposes an approach, specifically for movie recommendations, where group interests on various content based features such as genres, actors etc are modeled. Such group content-based feature interest profiles are utilized to match the set of individuals who may have a potential similarity with interests of the group and hence whose ratings can be used for group recommendations. Experimental results comparing to proposed approach with a traditional approach based only on CF reveal that accounting for content based information in the group recommendation process, significantly enhances the quality of recommendations.
APPLICATION FOR HAND REHABILITATION USING LEAP MOTION SENSOR BASED ON A GAMIFICATION APPROACH

In recent years, many researchers and companies are seeking to provide more natural, human-oriented means of interacting with computers. A particularly important direction of that trend is hand gesture recognition. These systems have received great attention in the recent few years because of their countless applications such as gaming, robotics, education, physical therapy etc. In this paper we present an application for rehabilitation developed for upper limb motor disabled users using the Leap Motion controller based on a gamification approach. The basic idea of this application is to help develop the muscle tonus and increase precision in gestures using the opportunities that the new technologies offer by making the rehabilitation process fun and engaging.
Long-Term Effectiveness of Combined Mechanotransduction Treatment in Jumper's Knee

The aim of the study was to show that the addition of extracorporeal shockwave therapy (ESWT) may significantly improve beneficial effects of eccentric training together with high efficiency focused acoustic waves for jumper's knee. We speculate that such an effect may be due to increased mechanotransduction effects on affected tissues. We assessed changes in pain and function in 42 male football players (aged 1834 years) after a treatment protocol consisting of I session with focused ESWT per week combined with 3 physiotherapy sessions per week, for 3 consecutive weeks. While treatment protocol was administered, ordinary activities, but not playing football were permitted. Their condition was evaluated before treatment, at the end of the rehabilitation period (3 weeks) and at 2 months, 4 months and 6 months after the end of treatment by clinical examination, instrumental analysis and VAS for pain assessment. Functional ability related to symptoms was assessed with VISA score. At the end of 2005,2006,2007,2008 and 2009 we carried out a telephone interview to investigate changes in pain and function and the efficacy of the treatment over time. Follow-up controls showed a reduction of average VAS score; after 6 months, tendons showed a structure closer to normal at ultrasonographic investigation. At the last telephone interview in 2009 many patients reported to consider ESWT as an effective treatment and described a significant improvement in their functional abilities, a significant reduction in drug consumption and 88% of subjects continued to play agonistic football. In conclusion, our results showed that, through the addition of ESWT, the effects of the classic vibration and eccentric training combination were improved compared to those found in our experience without ESWT. Although a control group was not included in the study (vibration and eccentric training without ESWT), results show a promising improvement and justify future prospective studies with a control group and more case series.
FOURIER TRANSFORM BASED SALIENCY DETECTION FOR SKETCH BASED IMAGE RETRIEVAL SYSTEMS

Visual Saliency is the perceptual quality that makes an object or pixel region stand out relative to its neighbors and thus capture viewer attention. Thus Saliency models indicate the region of interest. This paper aims at improving the performance of sketch based image retrieval using saliency detection approach. Several methods have been developed to extract the saliency information from an image. We use the Fourier transform to detect the saliency. Experimental results prove that the proposed technique outperforms the existing techniques and produce better retrieval results
Principals‟ Graduate Qualification: A Plus for Secondary School Effectiveness in Nigeria

This study examined the place of graduate qualification in principal appointment process in Nigeria. It also investigated the influence of principals’ graduate qualifications on secondary school effectiveness in Nigeria. Using the descriptive survey design, the study adopted multi-stage sampling technique. Three instruments: “School Effectiveness Questionnaire for Principals” (SEQP), “School Effectiveness Questionnaire for Teachers” (SEQT) and a semi structured Interview Guide were used in the study. The study found that: graduate qualification had no influence on selection to the post of principal as it was not one of the requisite qualifications for appointment as principal; that quality of the school principal in terms of qualification possessed had positive influence on school effectiveness. Incorporation of relevant post graduate certification as part of requirement for principal appointment was recommended.
Effects of Heavy Metals on Soil, Plants, Human Health and Aquatic Life

Composting is very cheap and reliable techniques for the solid waste containing organic matter. If the compost contains contaminants such as heavy metal then it is harm to environment. Heavy metals are toxic to soil, plants, aquatic life and human health if their concentration is high in the compost. Heavy metals exhibit toxic effects towards soil biota by affecting key microbial processes and decrease the number and activity of soil microorganisms. Even low concentration of heavy metals may inhibit the physiological metabolism of plant. Uptake of heavy metals by plants and subsequent accumulation along the food chain is a potential threat to animal and human health. Contaminants in aquatic systems, including heavy metals, stimulate the production of reactive oxygen species (ROS) that can damage fishes and other aquatic organisms. Hence the compost has to be use for agriculture it should be free from heavy metals. Therefore, the present study evaluated the effects of heavy metal containing compost on soil, plants, human health and
Improved Markovian Model for Annotation Based Image Retrieval using Multiple and Synonymous Keywords

— with the rapid growth of digital media, efficient and effective image retrieval techniques are desired. The process of image retrieval fails due to sensory gap. Annotation based image retrieval is one of the promising image retrieval technique because of its power to represent user queries and semantic contents of images. There are many methods presented for automatic annotation, indexing as well as annotation-based retrieval of images. Recently markov chain based method, Markovian Semantic Indexing is introduced which is efficient as compared to all previous methods. In this paper we propose a unique methodology for classification and annotation-based retrieval of pictures. The new methodology is also applicable within the context of an online image retrieval system. The new methodology is shown to possess bound theoretical blessings and additionally to attain higher precision versus Recall results compared to existing technique of MSI in Annotation-Based Image Retrieval (ABIR). The proposed system extends MSI by considering multiple keywords and synonyms in the user query. The experimental results demonstrate the performance of the proposed system.
Food Supply Chain Management System Enhancing Sustainable Development and Minimising Operating Cost

In this paper, food supply chain management system for enhancing sustainable development and minimising operating cost is presented. In the competitive world, production and distribution in time is the big issue to all the enterprises. There must be an efficient supply chain system to develop for tackling the present challenges in the supply chain and to minimising operating cost incurred in it. There are more crucial elements to look after to frame a considerable system as it is adoptable to the long period. In this attempt, challenges and opportunities, incentive, governance and co-operation, technological innovations and logistics and operations, life cycle assessment, packaging and containment and food quality are focused. The recent development in the food supply chain is also enumerated. The solutions for facing the problems and methods and various analysis are also provided for the efficient and sustainable food supply chain management.
Sensor Deployment and Scheduling for Maximizing Energy, Battery Lifetime and Target Coverage in Wireless Sensor Networks

-In this paper, we have work on the enhancement of sensor lifetime in the sink of sensor networks. The main objectives are determining the quality of services of the network and maximize the battery lifetime. The problem of estimating redundant sensing areas among neighbouring sensors is analysed. We present simple methods to estimate the redundancy without the knowledge of the location or directional information. Energy usage must be restricted to attain improved lifetime of the sensor. The primary objective of this work is sensor deployment under optimal location with enhanced network lifetime. The secondary objective is to schedule sensor nodes with highest possible lifetime and maximum efficiency. This paper solves the coverage problem with a maximizing lifetime in wireless sensor nodes.
A MOVIE REVIEW SENTIMENT ANALYSIS USING MACHINE LEARNING TECHNIQUES

In sentiment analysis the sentiment describes is the motion behind meaning and something like angry, happy, positive, negative etc. in this paper we represent sentiment behind movie reviews. One of the most popular applications of Artificial Intelligence is also a Machine Learning (ML), in which software, computers and peripheral devices perform via cognition (very similar to human brain). AI part is important role in sentiment analysis talk about movie reviews like Negative, Positive, somewhat negative, somewhat positive, positive. The obstacles observe in like Language Ambiguity, Sarcasm, sentence Negation, Terseness etc., Sentiment analysis is classification of sentiment division it’s a piece of written text, the task of the sentiment analysis is to determine the spoken words or opinion of person in document format or text format, like ex. Positive, negative. It is useful in social network monitoring and it allows us to get benefit an overview of maximum number of public opinion about certain topics. This sentiment analysis describes about opinion mining from client with Emotional feelings like happy or unhappy. So in this paper we represent Sentiment analysis using Machine Learning based approach for movie review. In this proposed system classification of sentiment analysis of present movie rating accuracy results. The existing movie ratings across in internet services it has a base to future research and implementation of domain. Therefore implementation of Feature Selection & Classification Algorithms are included to for Movie review sentiment analysis using Machine Learning.
Real-Time Sign Language Recognition: A Review

Real time sign language recognition is multidisciplinary research area involving computer vision, image segmentation, pattern recognition and neural language processing. Sign language recognition is a comprehensive problem because of the complexity of the shapes of hand. Sign language recognition requires the knowledge of hands positio n, shape, motion and orientation. A functional sign language recognition system can be used to generate speech or text making the hearing impaired person more independent. The most complicated part of sign language recognition system is to recognize the simplest hand gestures that must be detected in the image. In this paper, a review of different sign language recognition techniques is provided and a comparison of the results of different methods is