Miracle-dz/UniFAR-FTUs huggingface dataset:
GAME BASED LEARNING OF COMPUTER PROGRAMMING IN EARLY YEARS EDUCATION

Nowadays, commerce, facilities, knowledge, amusement and so on are all in one way or another controlled by software that has been developed by a programming language. The United Kingdom is waking up to the need for children to start being taught at an early age about how the progressively digitalised world in which they are living is created. In September 2014, computer programming was made part of the UK’s national curriculum for pupils in early years education. With this decision came several challenges for UK primary schools, including the school teachers and pupils e.g. lack of engagement on learning programming. This paper provides a detailed discussion of game-based learning and how it can lead to reduce the challenges of learning programming and ease the process of learning computer programming for pupils in early years education. It was also aimed on this paper to illustrate the details of the two experiments conducted at a UK primary school. The first experiment was done on teachers to investigate to what extent do they agree that teaching pupils programming in early years education would be a helpful step and could positively affect their pupils’ learning and the second experiment was conducted on pupils to measure the impacts of the proposed system on their programming performance and enjoyment in learning programming in comparison with two other different learning methods include learning programming from a school teacher and Scratch programming system. Results have indicated that pupils who learnt programming from the proposed system (which is based on the approach of learning through playing a game) found learning programming more enjoyable and fun, and it increased their interest in continuing to learn programming compared to those who learnt programming from a classroom teacher (they found learning programming difficult and boring).
Adaptive Investigating Universal Filtered Multi-Carrier (UFMC) Performance Analysis in 5G Cognitive Radio Based Sensor Network (CSNs)

Latest trend in research tend to fulfill requirements of the most talked about 5G networks. These networks need to be be engineered in terms of cost, energy and spectral efficiency, number of connected devices and latency. Cognitive Radio (CR) is one of the promising techniques to meet the above mentioned requirements that operates at microwave frequencies and exploits underutilized spectrum bands. Universal Filtered Multi-Carrier (UFMC) is a new channel judgment method that use multicarrier modulation scheme. UFMC is consider like an applicant for the 5th Generation of wireless communication systems and replaces OFDM . Latest research indicates that cellular networks are better operated with the novel UFMC with enhanced performance in terms of improved spectral efficiency, less usage of energy as well as latency. However, an emerging area of Information and Communication technology (ICT) are Cognitive radio based Sensor Networks (CSNs). Even basic observations using empirical approach can reveal important observations, especially if the above mentioned latest channel estimation technique (UFMC) , is tried and observed for CSNs. The option of CSNs as test bed is based on abundant use of the supporting in various social and military setups. In this work, part of frequency synchronization and channel estimation are explore and correlate with OFDM and UFMC systems with CSNs as testbed, primarily with a computer-aided software simulator and also with real time experimentation in special laboratory if resources permit.
Harmonic Analysis of Superconducting Fault Current Limiters (SFCL)

With increasing population and power consumption, new power generation units should connect to the network that they will lead to increase level of network short circuit. Considering the increasing level of short circuit, new circuit breakers should be replaced by higher capacity. But this solution imposes exorbitant costs to the power system operator and practically it is not economical. Another way to deal with increasing level of network short circuit is limiting the fault current. Fault Current Limiter (FCL) is a very effective option for solving this problem, but before installing it in the power system its harmonic effects should be investigated and if necessary, the solutions to reduce harmonic should be studied. The harmonic effects of a new generation of solid-state fault current limiters that can also interrupt the fault current. Then the proposed structure is being compared in terms of harmonic effects with the Superconducting Fault Current Limiter structure (SFCL). It is shown based on IEEE519 standard, that Fault Current Limiting and Interrupting Device (FCLID) structure has less harmonic effects than SFCL structure and doesn’t require filtering. For a simple three phase system with DC reactor type SFCL, harmonic analysis has been done. The 3-phase DC reactor type SFCL requires the coupling transformer to be inserted into the power grid. There are two basic transformer configurations (Y or delta connections) of 6-pulse operation, which are most commonly used for the 3-phase DC reactor type SFCL. FCLID model is designed for both single phase and three phase systems and implemented. The Total Harmonic Distortion (THD) value is measured for both the models and the model which gives the less THD value is declared to have better harmonic reduction capacity than SFCL.
Electrochemical determination of uric acid in reptilian excreta and human urine using gold modified pencil graphite electrode

This article reports the determination of uric acid (UA) present in reptilian excreta (from common house lizard Hemidactylus flaviviridis) and human urine using gold modified pencil graphite electrode (GPGE) prepared through electrodeposition method. The modification of the electrode was confirmed by scanning electron microscopic (SEM) and electrochemical impedance spectroscopic (EIS) studies. Electrochemical detection of UA was carried out by cyclic voltammetric (CV) and differential pulse voltammetric (DPV) techniques in the potential range of –200 to +700 mV versus saturated Ag/ AgCl/ saturated KCL reference electrode. The results demonstrated that the GPGE exhibited high electro-catalytic activity and good analytical performance towards the oxidation of UA. In addition GPGE displayed good reproducibility and good selectivity towards the determination of UA present in the biological samples.
A Novel Method for Acquisition of Crowdedness in City using Mobility Clustering

— Detecting crowdedness spots of moving vehicles in an urban area is absolutely required to many smart city applications. The practical investigation on crowdedness spots in smart city offerings many unique features, such as highly mobile environments, the non-uniform biased samples, and limited size of sample objects. The traditional density-based clustering algorithms flop to capture the actual clustering property of objects, making the outputs meaningless. Mobility-based clustering is non-density-based approach. The basic idea is that sample objects are hired as “sensors” to recognize the vehicle crowdedness in nearby areas using their instant mobility, rather than the “object representatives”. As such the mobility of samples is certainly incorporated. Several important factors beyond the vehicle crowdedness have been identified and techniques to remunerate these effects are proposed. Furthermore, taking the identified crowdedness spots as a label of the taxi, so identify one individual taxi to be a crowdedness taxi that crosses a number of different crowdedness spots.
SYNTHESIS OF SILVER NANOPARTICLES USING FLAVONOID: APIGENIN AND ITS ANTIBACTERIAL EFFECT

Apigenin, a dietary plant derived flavonoid was isolated from the leaves of Smilax perfoliata. The separation was carried out by different chromatographic techniques and their structures were elucidated by IR spectra, MS, 1 HNMR, and 13 CNMR spectroscopic methods. Further, the isolated flavonoid – apigenin was used for the synthesis of silver nanoparticles (AgNPs). Aqueous solution of pure flavonoid mixed with 1mM AgNO3 solution were exposed to bright sunlight to prepare the nanoparticles. Characterization of the synthesized nanoparticles by UV– Visible spectrophotometer, X-ray diffraction and scanning electron microscopy revealed that the synthesized silver nanoparticles were 10–80 nm in size and polydispersed in nature. Bactericidal effect against common pathogens of the synthesized silver nanoparticles was investigated. It is concluded that AgNPs synthesized using Apigengin as reducing agent showed higher stability and better antibacterial activity.
CONSERVING PRIVACY LMS USING LOCATION ANONYMIZATION ALGORITHM FOR WSN

Providing efficient location monitoring services while conserving privacy of user is a challenging problem in wireless sensor network, as many applications are developed in wireless sensor network which are based on information of users location. Therefore for keeping track to user location information with conceivably suspicious server occur privacy threats to tracking users. In this paper, we present two location algorithms that are resource aware and quality aware algorithm . Both of this algorithm are based on concept of k–anonymity principle. K-anonymity principle says that minimum k users must be present in particular area to indistinguishable user among k-1 other user. Resource aware algorithm and quality aware algorithm send aggregate location in formation to server so that malicious user or attacker can’t identify exact location of tracking user. These algorithms cause our system to provide location monitoring services with better quality and also maintaining user location privacy. Resource aware algorithm is efficient for the system where we want to minimize communication cost and computational cost, while quality aware algorithm is better for the system where we want good quality monitoring services. In our system we use spatial histogram approach to use aggregate location data to issue location monitoring services. Spatial histogram estimate distribution of monitored user rest on collected aggregate location data. Then approximate distribution is utilized to issue monitoring services through answering range queries . We evaluate our system through simulation using ns2 and present simulation result of our system . We compare performance of resource and quality aware algorithm ,result shows that efficiency of our system that produces high quality monitoring services and conserving privacy of user.
Localization for Fire Rescue Applications by Using Wireless Sensor Networks

Localization in Wireless Sensor Networks (WSNs) is very important. It can be used in various applications one of these applications is the Fire Rescue system. Localization means the determination of geographical locations of sensor nodes, consequently detecting the event location and to initiate a prompt action whenever necessary. The localization process passes with three phases which are distance and/or angle estimation phase, position phase, and algorithm phase. There are many techniques can be used in each phase, some of these techniques that may add additional devices, cost, power consumption, or delay to the network. This paper studied the most popular localization algorithms for WSN in each phase then demonstrated their problems with some suggestions for their solutions. Finally, the suitable Localization techniques for different categories of fire rescue system application will be recommended.
STUDY OF THE INFLUENCE OF THE TYPE OF THE ALCOHOL ENVIRONMENT ON THE STRUCTURE OF NANOSCALE ZINC OXIDE

This paper is devoted to studying the influence of the reaction medium on the morphology and the structure of nanoscale zinc oxide. In this work, nanoscale ZnO was obtained by the sol-gel method in alcohol environments. Ethanol, propanol, butanol and isopropanol were used as solvents. Phase composition of the obtained samples of nanoscale zinc oxide was studied by the method of x-ray-phase analysis. To define the morphology of the obtained ZnO particles, samples were examined with the use of scanning electron microscopy. Next, the obtained samples were studies by the method of IR spectroscopy for determining their composition. By the results of the research, a conclusion was made that the solvent has significant influence on the shape of the obtained ZnO nanoparticles and on their phase composition.
Empirical Evaluation of Metaheuristic Approaches for Symbolic Execution based Automated Test Generation

: This paper empirically evaluates four meta-heuristic search techniques namely particle swarm optimization, artificial bee colony algorithm, Genetic Algorithm and Big Bang Big Crunch Algorithm for automatic test data generation for procedure oriented programs using structural symbolic testing method. Test data is generated for each feasible path of the programs. Experiments on ten benchmark programs of varying sizes and complexities are conducted and the subsequent performance results are presented. All the four algorithms have been evaluated on average test cases per path and average percentage coverage per path. It has been observed that the particle swarm optimization based algorithm outperforms the other three algorithms. The result also concludes that predicates solving difficulty (such as constraints having equality operator‘&&’ as join operator) has a direct relationship with testing efforts rather than program complexity measures such as cyclomatic complexity, number of decision nodes etc.
Back Pressure Equal Channel Angular Pressing of Consolidate Pure Al Particles

In this study, pure aluminum particles were successfully consolidated to fully dense bulk material by back pressure equal channel angular pressing (BE-ECAP) at room temperature, the evolutions of microstructure and densification mechanism were systematically investigated using an FEI-TECNAI G20 transmission electron microscope (TEM) operating at 200kV, FEI field-emission scanning electron microscope (FE-SEM) and hardness testing. The results indicated that the strong bulk materials from particles were successfully produced. After 4 BE-ECAP passes, the present samples show finer grains with the average grain size of ~10μm, the density of the sample was considerably higher compared to those of the materials that had undergone ECAP without back pressure, and was approach to the theoretical density of pure Al. This was related to the combination of hydrostatic pressure, shear deformation and strain accumulation. The mechanisms of grain refinement was the dislocation generated inside grains moves towards the grain boundary continuously, and accumulates, tangles annihilates at the grain boundaries, which resulting in the grains continuously fragmented and refined.
Effect of Tb3+ doping on structural, optical and electrical behavior of CdSe nanoparticles prepared by hydrothermal method

The structural, optical and dielectric properties of the rare earth Terbium (Tb) doped CdSe one dimensional semiconductor nanorods has been explored. The pure and 0.5% Terbium (Tb) doped CdSe nanorods were synthesized by using hydrothermal method at a moderate temperature of 180°C. The prepared samples were characterized by X – ray diffraction, Scanning Electron Microscopy (SEM), Energy Dispersive X–ray diffraction (EDX) analyses. The X–ray diffraction (XRD) study shows the wurtzite structure for pure and Tb doped CdSe nanorods. The band gap of the pure and doped CdSe nanorods was found. PL The strong PL intensity confirms a blue shift. The dielectric and electrical conductivity studies of pure and Tb doped CdSe were carried out.
KNOWLEDGE DISCOVERY MODEL TO DISCOVER PATTERN FOR TEXT MINING

: -The quality of extracted features is the key issue to text mining due to the large number of terms, phrases, and noise. In this paper, we propose a novel pattern invention approach for text mining. This approach first discovers closed sequential patterns in text documents for identifying the most informative contents of the documents and then utilizes the identified contents to extract useful features for text mining. We develop a novel fusion method based on Dumpster-Shafer’s evidential reasoning which allows combining the pieces of document to discover the knowledge (features). To evaluate the proposed approach, we adopt the feature extraction method for information filtering (IF). The experimental results conducted on Reuters Corpus Volume 1 and TREC topics confirm that the proposed approach could achieve excellent performance.
Exit Chart for Iterative Decoding of Product and Concatenated Block Codes

In this paper, we study the convergence behaviour of a new SISO decoder that we have proposed recently in [1]. The exchange of extrinsic information is used to trace the decoding trajectory in the extrinsic information transfer Chart. That allows foreseeing the turbo cliff position. The inﬂuence of concatenated scheme as well as different constituent codes on the convergence behaviour is investigated for product and generalized serially and parallel concatenated codes. Simulation result shows that the thresholds obtained by EXIT chart and BER curves are almost the same.
Designing of Circular and Square Microstrip Feed Antennas

This paper presents a design of microstrip patch antenna combining circular and square slots by cutting different slots on rectangular microstrip antenna and experimentally studied on IE3D software. This design is achieved by cutting multi shapes in square pattern combining with circular and square slots & placing a microstrip line feed. This design has been studied in III iterations. The radiation pattern of the proposed microstrip antennas maintained because of the self-similarity and centro-symmetry of the fractal shapes. With fractal shapes patch antenna is designed on a FR4 substrate of relative permittivity of 4.4 and thickness 1.524mm and mounted above the ground plane at a height of 6 mm. Details of the measured and simulated results of the case-by-case iterations are presented & discussed.
Applying Flexible Strategy Game-Card Approach for Designing Performance Management System: The Case of Mobile- Telecommunication Company of Iran (MCI)

This study aims to carry out performance management system by flexible strategy game-card method for mobile communication company of IRAN. In this regard these question have been arisen: What is the concepts of flexible strategy game-card (FSGC) for designing PMS? Which perspectives are considered in FSGC? What are the steps of FSGC in implementation? How we can extract strategic directions and related strategic actions? Literature was reviewed in order to implement FSGC for designing PMS(performance management system). According to similarity in the context with case illustration of another study this study adopts perspectives and related strategic factors in hierarchical structures of these factors from that study. It should be mention gathering information about these strategic factors is based on secondary data of MCI. But in order to preserve the confidentiality of information, in some factors there is a slight deviation from the real value. The study adopts FSGC for designing of PMS for MCI. By using this concept, actual results have been compared with targets and led to extract strategic directions. Then strategic interventions that are aligned with the strategic directions were identified for MCI. Although the implication of FSGC approach for designing of PMS is available in the literature (even in similar industry/region/time limit), but there is not any attempt to utilizing it in MCI strategic department. Keywords— Performance Management System (PMS), Flexible Strategy Game-Card (FSGC), strategic interventions, balanced scorecard (BSC).
A new approach for Classifying land development in High-Resolution Remote Sensing Images

In this paper present an unsupervised method for discovering compound image structures that are comprised of simpler primitive objects. An initial segmentation step produces image regions with homogeneous spectral content. Then, the segmentation is translated into a relational graph structure whose nodes correspond to the regions and the edges represent the relationships between these regions. Therefore, we employ two different procedures to discover the sub graphs in the constructed graph. During the first procedure the graph is discredited and a graph- based knowledge discovery algorithm is applied to find the repeating sub graphs. Even though a single sub graph does not exclusively correspond to a particular compound structure, different sub graphs constitute parts of different compound structures. We extract a large set of corners from each input image by an improved Harris corner detector. Afterward, we incorporate the extracted corners into a likelihood function to locate candidate regions in each input image. The second procedure involves graph segmentation by using normalized cuts. Since the distribution of significant relations within resulting sub graphs gives an idea about the nature of corresponding compound structure, the sub graphs are further grouped by clustering the histograms of the most significant relations.
ANTIOXIDANT BASED COMBINATION THERAPY IN MALARIA: IN VIVO STUDY IN PLASMODIUM BERGHEI INFECTED MICE

The emergence of resistance to previously established antimalarial agents, have created the need for a continued effort geared towards the discovery of newer agents. The present study involves an in vivo evaluation of the potential effect of selected antioxidant micronutrient combination in the therapeutics of malaria. In this study, rodent malaria model; Plasmodium berghei NK-65 strain (chloroquine sensitive) and chloroquine resistant ANKA strain was used. In the first stage of the experiment, a 4 day curative synergistic test was conducted using 45 mice of either sex weighing 20.05±0.02 g which were inoculated intraperitoneally with 1 x 10 7 million Plasmodium berghei infected erythrocyte and were administered with varying combination of selected micronutrients for 4 days, 72 hours post inoculation. The second stage involved the use of 45 mice of either sex; curative synergistic study using chloroquine resistant ANKA strain was conducted. Similarly, varying combination of micronutrients with standard antimalarial agents was administered for 4 days. Synergistic schizonticidal activity was most marked in the vitamin A + E combination group (94.52%) when compared with any other micronutrient combination group after 4 days treatment of established infection. This was closely followed by the vitamin A + selenium combination group (94.43%). The mean difference in parasitemic levels was significant between groups (F = 2.59; P < 0.05). Conclusively, antioxidant micronutrient combination has potential benefit of being used as adjuvant in malaria therapeutics.
132-134-Ratna Priya

Psoriasis is a immune mediated disease that affects skin characterized by hyperproliferation and inflammation of the skin. It is the most common chronic inflammatory skin disease, affecting about 2% of the general population. Skin is a major target of oxidative stress due to reactive oxygen species (ROS). This s tudy was aimed to show that ROS play a significant role in pathogenesis of psoriasis. 40 cases and 40 controls between age group of 25 – 60 were taken. The levels of serum manoldia ldehyde (MDA) and nitric oxide (NO) were significantly increased and superoxide dismuta se (SOD) and Total Antioxidant Capacity (TAC),estimated by Ferric Reducing Antioxidant Power (FRAP) assay were decreased as compared to normal subjects. This study provides an evidence of an increase in reactive oxygen species (ROS) production and dec r ased antioxidant defences in psoriasis.