Miracle-dz/UniFAR-FTUs huggingface dataset:
DESIGNING AND EVALUATION OF ELECTRONIC HEALTH RECORD SOFTWARE: ADVERSE DRUG REACTION REPORTING AMONG DIABETES PATIENTS

The objective of conducting this study is to design and evaluate Electronic Health Record (EHR) software to rationalize its usage of automating the manual day-today paper based record system. It was designed by globally reviewing various health record related software systems. The designed EHR software was evaluated by running it in a private hospital under physician specialized in diabetes. Data entry of 200 patients was conducted using EHR software consisting of various key functionalities, for 4 months. 114 Diabetic patients were segregated for Adverse drug reaction (ADR) reporting, which is an important tool of EHR. Data entered was analyzed statistically using ANOVA test, student’s t test and chi square, etc. The average no. of males and females were found to be 47.5% and 52.5% respectively out of total. 64.5% patients were aware towards their health depending on follow up visits. A significant difference was observed between patients having BMI 23-25 & 25 kg/m 2 . Prescribing pattern of diabetic patients was observed using previous history every month in which maximum no. of patients (57.01%) were observed to be using oral hypoglycemic agents. ADRs were reported & analyzed, an awareness of 95% was found towards ADR by physician. Thus, it may be concluded that electronic health records can successfully be used in management and planning of healthcare facilities and services and the production of health care statistics. Further study is suggested to reveal the precise designing methodology and significance of electronic health record software.
BIOSYNTHESIS OF METALLIC NANOPARTICLES

Many studies have been proved that the microbial & plant extracts act as a potential precursor for the development of metal nanoparticles. Physical and chemical methods for formulation metal nanoparticles are generally used, but these are expensive and perilous for environment. Biosynthesis of metal nanoparticles is one of the safe, cost-effective and environmentally sound approaches. Various biological means such as Proteins and enzymes from microbes and natural compounds such as alkaloids, flavonoids, saponins, steroids, tannins and other nutritional compounds act as reducing and stabilizing agents and are used for synthesis of metal nanoparticles. These natural compounds are derived from different parts of plant like leaves, stems, flowers, fruits and seeds. Major nanoparticles synthesized using plant extracts and metals like gold, silver, copper oxide, palladium, platinum, titanium oxide zinc oxide etc. There are many formulation and process variables affecting the synthesis of nanoparticles which are discussed in this article along with different characterizing techniques. Nanoparticles today are found to be potential remedies for different diseases like cancer, diabetes, bacterial infections etc.
A SURVEY ON FACE DETECTION METHODS AND FEATURE EXTRACTION TECHNIQUES OF FACE RECOGNITION

: From the last two decades, face recognition is playing an important and vital role especially in the field of commercial, banking, social and law enforcement area. It is an interesting application of pattern recognition and hence received significant attention. The complete process of face recognition covers in three stages, face detection, feature extraction and recognition. Various techniques are then needed for these three stages. Also these techniques vary from various other surrounding factors such as face orientation, expression, lighting and background. This paper presents the complete study and review of various techniques used in face detection and feature extraction staged under different conditions.
Real Time Static Hand Gesture Recognition System in Complex Background that uses Number system of Indian Sign Language

— Hand gestures are powerful means of communication among humans and sign language is the most natural and expressive way of communication for deaf and mute people. Communication between computers (or robot) and humans, just as we humans interact with one another has been the prime objective of human computer interaction (HCI) research. This paper describes a real-time system for human computer interaction through gesture recognition for Indian Sign Language (ISL). ISL number system includes nine characters which are considered for this paper. The work is divided into four stages-image pre-processing, region extraction, feature extraction, feature matching. First stage converts captured RGB colour space image YIQ space images, then using grey threshold to detect the skin colour. Second stage extracts hand region using blob for getting region of interest(ROI). In third stage, we extract the features of ROI; the system compares four feature extraction techniques. Finally comparison is done between the current and database images in fourth stage using Euclidian distance.
CONTENT BASED IMAGE RETRIEVAL USING HADOOP AND HIPI

In real world scenarios storing the required data and retrieving is becoming a hectic task by the growing size of data. Hadoop is an open source software framework that offers solution for this problem and here efficient retrieval of images by similarity search is done, the input being the query image, using Hadoop framework and HIPI interface. Here Hadoop HDFS is used to store the images which are used as input to the popular MapReduce programming model for processing the images. As image content cannot be given directly as an input to MapReduce, HIPI API is used for storing images in hib (Hadoop image bundle) format and processed through MapReduce. Similar images are retrieved by k-nearest neighbour approach. The image based similarity searching can be used significantly in the medical field for diagnosis of diseases in order to provide effective treatment.
Human Face Detection and Recognition using Genetic Algorithm: A Review

— Face detection is one of the challenging problems in the image processing. Human skin color is an effective feature used to detect faces, although different people have different skin color, several studies have shown that the basic difference based on their intensity rather than their chrominance. Textures of human faces have a special texture that can be used to separate them from different objects. This paper, introduce a face detection and recognition system to detect (finds) faces in images from galleries of known people. To detect the face before trying to recognize it saves a lot of work, as only a restricted region of the image is analyzed, opposite to many algorithms which work considering the whole image. This system is caped with three steps. The first step is to classify each pixel in the given image as a skin pixel or a non-skin pixel. The second step is to identify different skin regions in the skin detected image. The last step is to decide whether each of the skin regions identify is a face or not. Finally recognition is done by using Genetic Algorithm. As the genetic algorithm is computationally intensive, the searching space is reduced and the required timing is greatly reduced.
Production of biogas from acid and alkaline pretreated cocoa pod husk (Theobroma cacao L.)

The aim of this work was applied acid and alkaline pretreatments to cocoa pod husk (CPH) in order to increase the potential of biogas production by anaerobic digestion. Different ruminal fluid (RF) / pig manure (PM) relationships were studied (2:1, 1:2 and 1:0). The inoculum selected was RF:PM = 2:1 ratio to obtain a biomethanation potential value of 0.120 m3 CH4/kg VS. The effect of acid and alkaline pretreatment in CPH using H2SO4 and NaOH was evaluated. The alkaline pretreatment showed the best results in reducing the lignin content, reaching a value of 43.78 %. Anaerobic digestion process using as substrate the pretreated CPH and the inoculum selected, with an organic load of 1, 2 and 3 g VSInoculum/g VSSubstrate were analyzed. The results show the potential of the CPH as lignocellulosic substrate for the production of biogas, which improves the value to these products in the agricultural sector.
Mutagenesis and screening of Penicillium oxalicum (Dal 5) for enhancing cellulase production

In the modern era due to increasing fuel demand, prices of crude oil is increasing day by days. So the need for bioenergy sources is increasing in coming years. Of all the biomass present in the world lignocelluloses as industrial, forest and agricultural residues constitutes the major portion. The present study was focused to determine potential of fungus Penicillium oxalicum (Dal 5) for cellulase production on different commonly available lignocellulosic substrates (Rice straw, Wheat straw, Corn cob, Baggase, Sorghum straw), organic nitrogen source (Corn steep liquor).
Discrete Wavelet Based Image Identification Using Neural Network

: In this paper, we propose a face detection algorithm based on Discrete Wavelet Transform (DWT) using Radial Base Function (RBF) Neural Network. DWT technique is used to decompose the image into sub images. We have used the Principal Component Analysis (PCA) technique for relevant feature extraction from the image. Finally, we proposed RBF neural network for face Recognition.
JOB SATISFACTION AMONG NURSING PERSONNEL WORKING IN GOVERNMENT AND PRIVATE TEACHING INSTITUTIONS: A QUESTIONNAIRE-BASED CROSS- SECTIONAL STUDY

Satisfied Health professional is an asset to any resource-limited and high-burden disease setting institution in terms of efficiency, productivity and quality health care. Assessment of job satisfaction by validated and qualitative measures could ascertain the multi-faceted factors influencing it. A structured Questionnaire study was conducted upon a cross section of nursing personnel (n=200) serving two tertiary care teaching institutions of Kolkata under the governance of both public and private sectors respectively. Multiple demographic features were independent variables whereas three critical areas of Satisfaction Index (S.I.) were outcome variables. All nursing participants were interviewed by using 15 item Likert response-based and modified job satisfaction scale. In the private sector the S.I. scores remained higher in areas like availability of technical supports (P < 0.0003) and environmental ambiance (P < 0.0001) whereas the job security scores remained unaltered in both the sectors. However, total S.I. scores remained higher (P < 0.0006) in private sector. The study concludes that an user-friendly questionnaire survey could identify the intrinsic and extrinsic factors affecting the job satisfaction among the nursing personnel employed in both sectors. Necessary intervention measures might bridge the gaps so as to enhance the quality and growth of nursing care services in hospitals.
The use of Nanogenerators to power Cardiac Pacemakers

Advances in medical technology have led to a substantial increase in the number of medical assist devices implanted in the human body. The pacemaker is one such device which aids cardiac functioning. Even as the number of pacemakers implanted each year reaches into millions worldwide, finding an efficient power source for them still remains a challenge. The average life span of a pacemaker battery is seven years. A cardiac patient thus requires several surgeries to replace the battery throughout his lifetime. The search for an alternate power source for pacemakers is hence critical. This paper reviews the use of nanogenerators as a power source for pacemakers and is focussed on Piezoelectric nanogenerators using PMN-PT, ZnO and PZT. Based on a technology that converts mechanical or thermal energy from small-scale physical change into electricity, nanogenerators are an emerging option to power electronic devices. Nanogenerators have varied applications in bio-medical and other fields. The use of nanogenerators has enabled doctors to implant a new generation of devices. These devices have the capacity to stay powered for a long time with minimal body invasion. A major benefit of using nanogenerators is their ability to convert kinetic energy from bodily movement into electricity. Kinetic energy within the body is a naturally occurring and continuous source of renewable energy. Thus utilizing this source of energy to power devices proves to be beneficial to the body as well as to the environment.
GENETIC TRANSFORMATION OF PLANTS CONTAINING THE SYNTHETIC cry1Ab GENE ENCODING RESISTANCE TO LEPIDOPTERAN PESTS

and we on assessment of health, numerical estimates of yield losses on an individual pathogen and pest basis for five major crops globally and in food security hotspots. Our document losses associated with 137 pathogens and pests associated with wheat, rice, maize, potato and soybean worldwide. Our yield loss (range. Pest control) is of insecticides to the the of of in The research was aimed to develop genetic constructs for Agrobacterium -mediated plant transformation, containing the synthetic cry1Ab gene, and their testing through the transformation of tobacco, followed by a molecular genetic analysis of the obtained plants to confirm the transformation event. Basic methods of DNA cloning, Agrobacterium -mediated transformation of Nicotiana tabacum L. by leaf disc method, selection of transformants in vitro , analysis of the transgene presence in plant DNA, detection of cry1Ab gene expression by PCR with reverse transcription were used. In the course of the study, the vectors pCB182 and pCB241 that contained the synthetic gene cry1Ab were constructed. Agrobacterium -mediated transformation of tobacco was carried out by created vectors and regenerant plants containing transgenes in their DNA were obtained. Expression of cry1Ab transgene in the obtained transformants of tobacco by the RT-PCR method was confirmed. As a result of the Agrobacterium -mediated transformation of plants with pCB182 and pCB241 vectors containing the synthetic cry1Ab lepidopteran resistance gene it is possible to obtain transgenic plants with expression of the transgene.
3D Image Watermarking And Quality Assessment

Abstrac t: Digital Watermarking is an innovation being developed to assure protection and security of multimedia information. The reason for digital watermarking is to support data validation, copyright protection, and content integrity validation. Digital watermarking is a moderately new and very multidisciplinary research domain, which combined the domains like digital signal processing with cryptography, communications and information theory
Solving Economic Emissions Load Dispatch problem by using Hybrid ACO-MSM approach

This paper introduces a solution of the economic emissions load dispatch (EELD) problem using a hybrid approach of ant colony optimization (ACO) and modified simplex method (MSM). The proposed approach combines and extends the attractive features of both ACO and MSM, where it is based on ACO to get approximate nondominated set of the problem followed by MSM to improve the solution. The proposed approach has been applied in two test examples and the solution is then compared with that obtained by some other techniques to prove the superiority and effectiveness of the proposed algorithm. KeywordsMultiobjective Decision Making problem, Pareto optimal, Ant Colony Optimization, Modified Simplex method, economic emissions load dispatch problem.
Effect of sucrose on inducing in vitro microtuberization in potato without using any growth hormone

The present in vitro experiment was conducted to investigate the effect of the various concentrations of sucrose on potato plantlets growth and microtuberization. It was observed that increasing sucrose level in the media influenced the plant growth negatively. 3% sucrose concentration in the medium showed comparatively early root/shoot emergence and highest mean root and shoot length (6.16 cm and 8.28 cm, respectively) with greater number of nodes (7.90). However, regarding microtubers (Mt) formation, treatment with 8% sucrose concentration has higher microtubers number with larger size (mean diameter 6.84mm). The mean weight of Mt was also highest (97.0mg) at 8 % sucrose concentration followed by T1 (70.00mg). It has been concluded on the basis of results that MS medium supplemented with 8% sucrose level and without any growth hormone is the best for in vitro microtuber formation in potato. * Corresponding Author: Zishan Gul  gul.zishan@gmail.com International Journal of Agronomy and Agricultural Research (IJAAR) ISSN: 2223-7054 (Print) 2225-3610 (Online) http://www.innspub. net Vol. 7, No. 1, p. 118-124, 2015 International Journal of Agronomy and Agricultural Research (IJAAR) ISSN: 2223-7054 (Print) 2225-3610 (Online) http://www.innspub. net Vol. 5, No. 1, p. 14-22, 2014
ENERGY OPTIMIZED SECURE DATA AGGREGATION IN WIRELESS SENSOR NETWORK

ABSTRACT: Wireless Sensor Network (WSN) is an evolving technology which is used in many applications including military surveillance, health monitoring, disaster detection and fire monitoring. WSN consists of many tiny sensor nodes which are used to monitor physical and environmental conditions such as temperature, motion and sound. Nodes are deployed in a hostile environment, and so security is the main concern in WSN. There is a lot of energy consumption when communication takes place between sensor nodes. Data aggregation techniques can efficiently help to reduce the communication overhead and consumption of energy by eliminating unnecessary data travelling back to the sink. The proposed project uses an attack resilient algorithm to enable the base station to securely compute the true estimate of aggregate.
Segmentation Brain Tumor and Diagnosing Using Watershed Algorithm

: Brain cancer is the most life impacting and most critical type of malignancy considering the sensitivity of the location in which it affects, the brain being the most important part of the body yet its cells lack the ability to divide and heal the damaged tissue. Most brain tumors causes are unknown; they’re the second leading cause of cancer-related deaths in children and young adults under 20, with generally low average survival rates. There are over 120 types of brain tumors, most are cancerous. Sadly, there are no effective ways to prevent brain tumors however for many tumors, surgery and radiotherapy remain the standard of care for early stages. The early discovery of a brain tumor can play an important role in reducing the mortality rates and associated lethal effects as well as to diagnose and manage the case, resulting in a higher recovery rate for the patients. This paper deals with tumors that start within the brain, using morphological watershed algorithm on Magnetic Reasoning Images (MRI) to identify, locate and segment the tumor. The basic idea in this paper is to design software and use the proposed system to help the physician reading and classifying the type of tumors into benign or malignant. The experimental result shows that the cases been diagnosed using our system verses the radiologist diagnosis are correct with percentage over 100% for the most of the cases.
Piezo Based Self Sustainable Traffic Light System

This paper describes a traffic light system that is based on piezoelectric power and its switching is automatically controlled depending upon the amount of traffic passing. Often road accidents occur due to human controlling and traffic light systems[7] fail in case of power failure like the one that occurred in India in July 2012. So, this traffic light system will not only generate power from traffic to power its components and LEDs but will also provide effective traffic control by eliminating any human interference from the system. The system uses piezoelectric films placed on road for power generation and a signal conditioning circuit[1] to optimise the power generated. This generated power will be stored in batteries which will further power the components of the system and traffic light LEDs[2]. A microcontroller will control the switching of lights by using an algorithm whose basis will be the amount of traffic passing on the road. Since no components of the systems are fragile and the system is self powered, the working of the system will be independent of the weather conditions and power failure.
BOT-O-PEDIA - Learning Simplified

: A standalone teacher Bot that can be interacted through the user’s voice. The Bot works as a teaching assistant which has the ability to respond for the voice input. The Bot has features like recognizing the voice, reading the text and searching in Wikipedia. The 21st-century people are in the era of intelligence and the communication between humans and Bot goes to the next level through intelligent technologies. The foundation of human-computer interaction is robot teaching. It can help the user in doing tasks like querying database, searching Wikipedia etc. A customized teaching assistant is not implemented so far for primary kids and visually challenged people. Any visually challenged or a primary school kid can interact with the Bot The bot has the ability to understand the Human language and it is coded with Language Processing. The traditional teaching methods for physically challenged people can be made much more effective through Bot teaching methods. Bots have the ability to remember, to learn and to perceive which helps the intelligent system in teaching [8]. There are three main directions; teaching based on recognizing the speech, searching for the content from the local database as well as in Wikipedia, converting text into a voice output. The user interacts with the system through voice command, the system in-turn returns the output through the speakers attached to the system. The core concepts used in the project are speech-to-text conversion (for understanding user input) and text-to-speech conversion (for giving output to the user), reading the document in the local database, connecting with Wikipedia. The system can search Wikipedia and give the results through voice. It can help the visually challenged to connect with the world by giving them access to Wikipedia through their voice. A raspberry pi module is chipped with android things operating system and is also connected with a mic and a speaker for output. The raspberry pi is paired with the mobile application of android things and the module is modified in such a way that it continuously waits for the user’s voice input to respond accordingly[6]. The voice-controlled Bot can be used for visually challenged students in primary school.
On the Impact of Prototype Filter Length on the PAPR Reduction of FBMC Signals

— One of the challenging issues for Filter Bank Multicarrier (FBMC) systems is their high Peak-to-Average Power Ratio (PAPR) which leads to the saturation of the high power amplifiers and consequently increases the out of band power. In this paper, we evaluate different FBMC PAPR reduction techniques and especially analyze the impact of the prototype filter length/overlapping factor on their performances.
Detection of Node Replication Attack Using XED and EDD algorithms in Wireless Sensor Networks

: In these days, randomly moving sensor networks are more commonly used for building up a application in many areas like industrial, environmental, and medical and so on. There are some disadvantages of this network over the WSN, this network faces the problem like security attack and they create clones of the nodes. They face this problem because of their dynamic nature. There are some solutions for noticing the attack of node replication. Thus we deal with the challenging problem of node replication detection. Although defending against node replication attacks requires immediate attention, detecting node replication attacks in static networks, only a few solutions in mobile networks have been presented. Therefore, two localized algorithms are proposed to detect node replication attacks in wireless sensor networks. The advantages of our proposed algorithms include 1) localized detection; 2) efficiency and effectiveness; 3) network-wide synchronization avoidance; and 4) network-wide revocation avoidance.