Miracle-dz/UniFAR-FTUs huggingface dataset:
Chunk Scheduling Strategies In Peer to Peer System-A Review

— Peer-to-peer (P2P) streaming systems have become popular in recent years. Several peer-to-peer systems for streaming have been deployed recently. The challenges for P2P streaming have been on its scalability and video viewing quality. Peer to peer (P2P) streaming tries to achieve scalability and at the same time meet real-time playback requirements. Both require efficient utilization o f resources in P2P networks. The most important issue in designing a P2P streaming system is chunk scheduling which should be able to provide high-quality service while maintain a high utilization of system resources. There are different chunk scheduling strategies: Rarest First and Greedy. The former is a well-known strategy for P2P file sharing that gives good scalability, whereas the latter an intuitively reasonable strategy to optimize continuity and startup latency from a single peer’s viewpoint. Greedy, while achieving low startup latency, fares poorly in continuity by failing to maximize P2P sharing; whereas Rarest First is the opposite. This highlights the trade-off between startup latency and continuity, and how system scalability improves continuity. Based on this insight, a mixed strategy is proposed that can be used to achieve the best of both worlds. Furthermore, the mixed strategy comes with an adaptive algorithm that can adapt its buffer setting to dynamic peer population. This report presents a most up-to-date survey of modeling work in the area of P2P streaming and chunks scheduling strategies in P2P streaming system.
Diagnostic accuracy of squash cytology and role of GFAP immunoexpression in glial tumors

Introduction: Intraoperative squash technique provides rapid and reliable diagnosis which is helpful to monitor or modify the treatment approach. We carried out the present study to compare the accuracy of squash preparation with histopathological diagnosis and also to study the role of GFAP immunostaining in gliomas. Material and Methods: Clinicoradiologically diagnosed 127 cases of gliomas were subjected to both squash smear cytology and histopathological examination; also to GFAP staining using monoclonal antibody (EP672Y clone). Taking histopathology as gold standard, diagnostic accuracy and statistical values were calculated. Immunohistochemical analysis was compared with final diagnosis. Results: Overall diagnostic accuracy of squash cytology was observed as 95.2% (sensitivity=99.1%, PPV= 99.1%). All low grade astrocytomas and ependymoma showed strong diffuse positivity while high grade astrocytomas were focally reactive. Negative immunoexpression was seen in case of oligodendroglioma and pituitary adenoma. Conclusion: Squash cytology is of great value in rapid intraoperative consultation of gliomas. GFAP can be used as an adjunctive tool to verify the astroglial differentiation especially in diagnostically difficult cases. Keywords: diagnostic accuracy, GFAP, Gliomas, Squash.
IDMA based Communication for Next Generation (4G)

This paper outlines the operational concepts of recently proposed Interleaved Division Multiple Access (IDMA) scheme. Some interesting features of Interleaved Division Multiple Access (IDMA) over conventional Code Division Multiple Access (CDMA) are explained including its performance, simple receiver structure as well as spectral efficiency. The basic principle of IDMA is that interleaver is different for each user whereas CDMA employs different signatures. IDMA inherits many advantages of CDMA such as robust against fading, easy cell planning and dynamic channel sharing. Further IDMA increase the spectral efficiency and reduce the receiver complexity.
Brassinosteroids and Gibberellic Acid act synergistically to influence plant growth and development

Plants treated with brassinolide alone or where brassinolide was combined with gibberellic (BL+GA3) exhibited a notable increase in the size of both epidermal and mesophyll cells, this was also true for leaf size but such changes were not observed in the Control plants. A combination of Gibberrelic acid (GA3) and brassinolide exhibited the highest stem elongation as well as petiole growth rates. Lone brassinolide application stimulated petiole growth but no significant increase in stem growth as compared to the Control. Brassinolide alone had no significant effect on petiole growth, but the combination of brassinolide with GA3 increased petiole growth. There was a synergistic interaction between gibberellic acid and brassinolide in stimulating significant increase in stem growth in comparison to the other treatments where these plant growth regulators were used separately. Brassinolide treated plants at 150 mg.L 1 triggered a small increase in petiole growth when compared to the control. A combination of Gibberrelic acid (GA3) and brassinolide (BL) triggered a significant development of lateral buds. The herbage yield in terms of the leaf number, leaf weight and total leaf area was higher owing to brassinolide (BL) treatment in comparison to the control. Biochemical analysis of the leaf in this study showed that plants treated with brassinolide contained more sugars (both reducing and non-reducing) as well as starch in comparison to the control plants. The higher levels of starch and sugars in the leaf of plants treated with brassinolide positively correlated with higher chlorophyll levels as well as photosynthesis.
An Ensemble Fuzzy Rough Set Jaccard Similarity measure based Approach on User Session Clustering

Nowadays it is incredible to see the continuous increasing growth of World Wide Web. The website may likewise be accessed for various website design tasks still the web user waste lot of time in web to surf interesting information from it. Thus it leads to focus on web usage mining to develop a knowledge based system for learning about web user’s behavior and user interactions with the website. This paper put forth problem in identification of pattern discovery in user navigation pattern with in a session. The vagueness in clustering the similar user session is overwhelmed in this proposed work by devising a Fuzzy roughest based Jaccard similarity measure which utilizes membership function to perform clustering process. The result shows that there is a considerable improvement in interaction of intra clustering while comparing the traditional roughest theory.
SSCM: A Smart System For College Maintenance

- A Smart System for College Maintenance(SSCM) aims to maintain attendance of students and to locate them automatically and also enhances smooth functioning of colleges. In today’s busy world where often both parents are working or living far away from the institution, personal visits to the institution is really not an easy task. This System provides a report through SMS using GSM, so parents are possible to view their children’s attendance. The primary goal was to automate the process of checking student attendances. To this concept the student will have a RF based ID card along with the finger print verification through biometric. When the student enters into the campus automatically his entry will be stored in the database. This solution provides a level of data security that has never been possible with attendance management systems using traditional paper rolls or physical data collection . This system includes website through which the student, teacher and the guardians can view the status of attendance and location of a student at present in the campus. Radio Frequency Identification (RFID) system can be used to take attendance for student in school, college, and university. Its ability to uniquely identify each person based on their RFID tag type of ID card make the process of taking the attendance easier, faster and secure as compared to conventional method. SSCM can also perform multitasks in the organization.
Gene Technology Protecting Crops from Pathogens: Novel Approaches to An Old Problem

Plants are sessile and face various biotic and abiotic stresses in their surrounding environment. Plants have thus evolved complex response systems to deal with these stresses. Microbial pathogens, by definition, have evolved advanced invasive strategies to tap photosynthates from plants. Because they evolve faster than host plants, microbial pathogens are more inherently adaptable and, in most cases, have the upper hand in the everlasting co-evolutionary struggle with their host plants. In addition, because defense mechanisms of plants against microbial invasion are highly conserved across species, various pathogens readily become experts in abrogating this immune system. The large-scale deployment of a few genotypes of crop plants in modern agriculture makes crops at higher risk of disease epidemics. Despite various control measures, on a global scale, about 15% of crops are lost due to diseases. Hence, protecting crops from pathogens presents a constant challenge in agriculture.
Common Spatial Pattern Algorithm Based Signal Processing Techniques for Classiﬁ - cation of Motor Imagery Movements: A Mini Review

: Brain-computer interfacing (BCI)is one of the most attractive ﬁ elds of research in neural and rehabilitation engineering. Although, it still needs lots of improvement for developing a practically reliable BCI system. The major step to improve the BCI performance is by developing a robust signal processing algorithm. Common spatial pattern (CSP) ﬁ ltering is one of the most effective algorithms for feature extraction in motor imagery based BCI (MI-based BCI). However, it still has a lot of disadvantages and different approaches had been proposed to overcome these disadvantages. In order to develop a robust algorithm, it is necessary to understand the causes of the problem and ﬁ nd a solution. In this paper, we present a mini review of the different CSP based algorithms, ﬁ ndings, its disadvantages and the solutions. The limitations are discussed in details. This can help new researchers to have a full overview of the existing CSP based approaches for classi ﬁ cation of MI movements.
High Throughput Lossless Data Compression Algorithm

: Compression algorithms reduce the redundancy in data representation to decrease the storage required for that data. Data compression offers an attractive approach to reducing communication costs by using available bandwidth effectively. Though this scheme has clear benefits, the execution time of compression and decompression is critical to its application in real-time systems. Software compression utilities are often slow, leading to degraded system performance. Hardware-based solutions, on the other hand, often drive large resource requirements and are not amenable to supporting future algorithmic changes. The proposed algorithm suggests a lossless data compression with hash table-dictionary-based scheme
Semantic-based Web Page Clustering System using K-means Algorithm

— Web page clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of web pages into a small number of meaningful clusters. Clustering is a very powerful data mining technique for topic discovery from web pages. Partition clustering algorithm, K-means, is reported performing well on web page clustering. They treat the clustering problem as an optimization process of grouping web pages into k clusters so that a particular criterion function is minimized or maximized. The bag of words representation used for these clustering is often unsatisfactory as it ignores relationships between important terms that do not co-occur literally. So, this system proposes the semantic based web page clustering system by using both the K-means clustering algorithm and word sense disambiguation method. For semantic analysis, this system uses the WordNet as lexicon and K-nearest neighbor (KNN) classifier as the word sense disambiguation method. Based on the semantic logic, this system supports the more accurate about the web page clustering process.
A New Approach for Feature Subset Selection based on Hadoop

— Feature Selection is a method of identifying a subset of features that are useful for model construction which gives compatible results. In the contemporary world, the data repository consists of redundant and irrelevant features which will have harmful effect on the solution. Irrelevant or redundant features must be avoided in order to reduce the negative effect on the accuracy of the classifier. There are methods for implementing feature selection which include Exhaustive, Best fit, Simulated annealing, Genetic Algorithm, Greedy forward selection and many other methods. Genetic Algorithms (GAs) is a meta heuristic search technique which belongs to the family of evolutionary algorithms, mostly used to find approximate solutions. These heuristics is a general method for solving a particular problem mainly in the areas of optimization and search problems. The GAs involves calculating power both in time and resources. No frameworks exist for the development of GAs to be executed in parallel, even though some sequential ones exist. Therefore, these kinds of problems can be solved using Hadoop. Apache Hadoop is one of the common services that can be exploited for parallel applications. Apache Hadoop is a software framework which stores and processes the Big Data on clusters of commodity hardware without using complex programming models. The Hadoop Distributed File System (HDFS) is fault tolerant which holds very large amount of data across multiple machines. Hadoop renders a command interface to interact with HDFS. The project sharpens on depicting a new approach for feature selection utilizing parallel GAs on the Hadoop platform, following MapReduce paradigm.
Probiotics and Dental Caries in Children

Probiotic therapy has been proven to have beneficial treatment and prevention effects in different medical fields. Probiotics are “live microorganisms that when administered in adequate amounts confer health benefits to the host”. Since the oral cavity had specific ecosystem that involve both normal flora and pathogenic flora, the objective of this paper was to view process of activity of “probiotic bacteria” in the mouth and review the impact of “probiotics” on dental caries in children. Search of English scientific articles electronically from 2008 to 2018 was accomplished using the Cochrane library, PubMed, the EviDents search engine, EMBASE database, OVID, and the Science Citation Index database. The search terms used were “probiotics”, Microbiome, Microbiota, Dental caries, Periodontal disease, Gut, Oral Health, Lactobacillus, Bifidobacterium and Mutans streptococci. Probiotic therapy may have a significant part in treating dental decay in children. Further investigations are required to provide scientific evidence on the use probiotic therapy in children. [Eman A. El Ashiry, BDS, MSc, PhD. Probiotics and Dental Caries in Children. J Am Sci 2019;15(2):13-20]. ISSN 1545-1003 (print); ISSN 2375-7264 (online). http://www.jofamericanscience. org. 3. doi:10.7537/marsjas150219.03.
TFSF boundary implementation in the FDTD Algorithm for the Study of the Propagation of Electromagnetic Waves in Vacuum

The implementation of the Yee algorithm allows a numerical resolution of the propagation problem of EM (electromagnetic) waves propagating in a vacuum. In order to simulate an EM wave propagating in a defined direction, a TFSF boundary must be introduced. In the work presented here, we will present what the TFSF boundary is, and how the TFSF boundary could be introduced in the FDTD method. We will use three types of sources to illustrate the implementation of the TFSF boundary. We will consider a Gaussian source, a harmonic source, and a Ricker wavelet source. This work will result in the presentation of the FDTD algorithm with TFSF implementation, as well as the presentation of the results of the algorithm.
The protective Effects of VolatileOils against Complicated Chronic Respiratory Disease (CCRD) in Chickens

A product mixture of essential volatile oils was tested experimentally for evaluation of its effect on Mycoplasma gallisepticum (MG) and Escherichiacoli (E.coli) experimental infection, growth performance and NDV immune response of commercial broiler chickens, 160 birds were divided into 4 groups as follows: group 1 non infected non treated, fed with basal diet (control group); group 2 infected with E.coli and MG at 14 day of age; group 3 infected with MG and E.coli at 14 day of age and supplemented with a bronchodilator patent preparation as 0.5 ml /liter drinking water for 3 days and group 4 non infected treated with a bronchodilator patent preparation as 0.5 ml /liter drinking water for 3 days. The results indicated that the use of essential oils had a good effect on performance, weight gain, immune response and decreasing the lesion score of MG infected chickens. [Elbestawy A.R. , Eman Khalifa, Sadek K.M. , Ahmed H.A. and Ellakany H.F. The protective Effects of Volatile Oils against Complicated Chronic Respiratory Disease (CCRD) in Chickens. J Am Sci 2016;12(6):49-56]. ISSN 1545-1003 (print); ISSN 2375-7264 (online). http://www.jofamericanscience. org. 7. doi:10.7537/marsjas12061607.
Design and Implementation of Malware Collection System Based on Client Honeypot

— These days’ client users on internet are the main target for attackers, through a victim client user an attacker can spread his malware to a wide range on a network. The various security mechanisms are available to secure our systems on a network, but a more robust mechanism is required in support and to find security loopholes. Client Honeypot is a really very effective and beneficial to provide security. In this paper we provide design and implementation of a malware collection system based on client Honeypot. This is an active Honeypot. After designing and implementation we examined this system by visiting malicious URLs and we find malwares dropped on the system. Informative data obtained by the system can be further analyzed and used to enhance the security system. Collected malwares are categorized based on type of malware program.
The Effect of Reading Direction on Emotion Recognition: A Pilot Study

In this pilot study we tested whether or not the direction of reading (independently from its content) influences participants’ emotional experience. We tested a small sample of 30 Japanese people in a repeated measure setting. Participants completed a short emotion-recognition task following two different reading direction conditions: left-toright and top-to-bottom. Results show that reading direction tends to have an impact on recognition of expression of emotion. Based on these positive results, we believe further research is necessary to verify the observed effects and to refine present findings.
Image Registration Techniques Classification: A Review

-This paper presents a review of image registration methods. The aim of this paper is to be an introduction to the image registration methods, which provide knowledge on the work that has been developed and to be a suitable referral for those who are looking for registration methods for a specific application. Registration is a fundamental task in image processing used to join two or more images taken, for instance, at different times, from different devices, or from different viewpoints. There have been many methods to register images for different purposes. The main step in the image registration in the most method is estimating the transformation of the sub images that will bring them into a spatial alignment which is done by image registration algorithm
Speech Signal Enhancement for Babble Noise Using Optimization Algorithm

The speech signal enhancement is for obtain clean speech signal from noisy signal environment. For multimodal optimization we better to use natural-inspired algorithms. In this paper we use Firefly algorithmWe compare the firefly algorithm with particle swarm optimization technique (PSO). The proposed algorithm contains three important module techniques. Those are preprocessing module, optimization module and spectral filtering module. The signals are taken from Loizou’s database for evaluating proposed technique. In this paper we calculate the perceptional evolution of speech quality (PESQ) and signal to noise (SNR) of the optimized signalsignal. The results of firefly algorithm and PSO are to be compare then we observe that the proposed technique is better than the existing technique.
A Comparison Between Experimental and Simulation Results in the Fabrication of Nanoporous Platinum Thin Films for Hydrogen Sensing

Hydrogen is considered one of the most attractive energy resource in the future for its high efficiency, renewable properties, and being environmentally friendly. As hydrogen has a wide range of application area, but has a potential for explosion, research is ongoing on the design and development of hydrogen gas sensors that are reliable, chemically selective, reversible, simple to operate, cheap and sensitive to low concentration of hydrogen gas with fast response time. A basic classification of sensors comprises catalytic sensors, electrochemical sensors, resistive palladium alloy sensors, field effect transistors, Schottky diodes, and semiconductor metal oxide sensors [1–3]. Nanostructured devices are being extensively investigated for their possible applications. The occurring surface effects, small-size effect, and even quantum effects markedly affect the physical and chemical properties of these nanosized materials. Nanostructures have recently attracted the attention of scientists to overcome the limitations of current hydrogen sensors because of their surface activity, superior sensitivity, and lowpower consumption due to their small size. A nanoporous platinum film is expected to exhibit much higher surface area than a polished platinum film. This feature is very advantageous in the study of electrochemical reactions involving adsorption which include sensing of hydrogen. In this work, a process of cosputtering, dealloyingand coarsening was employed to fabricate nanoporous platinum (np-Pt) thin films. These films substantially increase the surface area and number of site for hydrogen adsorption on the platinum surface. Nanoporous materials are increasingly being used as catalysts [4] and as absorption media [5] because of their unique structural properties and large accessible internal surface area, i.e. the presence of voids of tunable dimensions at the atomic, molecular, and nanometer scales. Porous materials are also of scientific and technological importance because of their ability to absorb and interact with atoms, ions, and molecules on their large interior surfaces and in nanometer-sized pore spaces. With a unique combination of low mass and high surface area, porous materials are particularly ABSTRACT
Fusion of Fingerprint, Iris and Face Biometrics at Decision Level

— Multimodal biometric systems can effectively solve limitations and challenges in single biometric such as noisy data, non-universality and spoof attacks. In this paper fusion of fingerprint, iris and face traits are used at decision level in order to improve the accuracy of the system. Each subsystem gives its individual binary decision (either low or high), and then these decisions are fused using Fuzzy and weighted logic. Experimental results show that weighted fuzzy logic gives excellent accuracy equal to 99.99 %.
A REVIEW ON BIOCOMPUTING APPROACHES AND TOOLS FOR IDENTIFICATION OF SINGLE NUCLEOTIDE POLYMORPHISMS

Single Nucleotide Polymorphisms (SNPs) are the most common source of genetic variations. There has been enormous research in the area of Biocomputing and Bioinformatics on identification and analysis of SNPs. A large number of methods have been developed for their identification ever since the importance of SNPs in understanding of diseases emerged with the completion of Human Genome Project. This paper reviews Single Nucleotide Polymorphisms, their importance, their association to diseases, Biocomputing approaches and tools available for their identification up to 2017.