Miracle-dz/UniFAR-FTUs huggingface dataset:
Event Detection In Broadcast Soccer Video By Detecting Replays

: Research on methods for detection and acknowledgement of events in video is assembling attention from various enthusiasts working in field of image processing. However, various techniques and methodologies had been proposed in order to meet such requirements. In this paper, we has proposed the efficacious method for event detection in soccer game broadcasted video and comprehending aspects which have been proposed to detect event and classify them in order to generate highlights. Also we provide an overview of the applications, categorizing them according to event detection and classification of domains
Study on female reproductive performance of Kamohri goat managed under traditional management conditions in district Hyderabad, Sindh, Pakistan

The study was conducted to investigate the reproductive performance of female Kamohri goat managed under traditional management conditions in district Hyderabad, Sindh, Pakistan. The data were collected on reproductive performance on farm management and utilized for this study. The data were gathered through regular visits of various farms in selected areas of district Hyderabad. The result revealed that the mean (±MES) age at puberty and age at first kidding was recorded as 370.026±5.435 and 532.14±5.256 days respectively. The mean (±MES) length of estrus cycle, duration of estrus period and post-partum estrus period was observed as 21.03±0.17 days, 24.791±0.097 hrs and 68.21±0.46 days respectively in Kamohri goat does. The difference between the parity was found significant for post-partum estrus period and it seems to be an ideal period. It was concluded that reproductive performance of Kamohri goat were suitable and indicating efficient reproductive performance and this breed can be utilized for sustainable goat farming in the home tract area of Kamohri goat breed.
Phytochemical analysis of Abutilon Indicum

p-b-D-Glucosyloxybenzoic acid, p-Hydroxybenzoic, Caffeic acid and have been isolated from the whole plant of Abutilon indicum. The concerted use of IR, UV, NMR spectroscopy and chemical methods allowed the identification of these compounds.
PHARMACOKINETICS AND BIOAVAILABILITY OF TYLVALOSIN AFTER ORAL, INTRAMUSCULAR AND INTRAVENOUS ADMINISTRATION IN TURKEYS

Objective: Tylvalosin, is a new macrolide antibiotic, it is highly effective against a range of important diseases in many different veterinary species specially pigs and poultry. The pharmacokinetics and bioavailability of Tylvalosin were investigated in healthy turkeys. Methods: Tylvalosin was orally, intramuscularly, and intravenously administrated to turkeys in a single dose of (25 mg/kg b.w.), and the blood samples were analyzed by using a microbiological assay method. Results: After intravenous injection, the serum concentration-time curves were best described by a two compartment-open model. The distribution and elimination half–life t 0.5 α and t 0.5 β were (0.076±0.0014 h, 0.788±0.107 h), respectively. The volume of distribution Vd ss was (1.155±0.183 L/kg), with body clearance Cl (B) of (1.489±0.143 ml/kg/h). Following oral administration, Tylvalosin was absorbed with t 0.5 ab (0.283±0.012 h) and eliminated, with t 0.5 el (5.309±0.542 h). The peak serum concentration was (0.637±0.018 µg/ml) at T max of (1.293±0.024 h). Following intramuscular administration, Tylvalosin was absorbed with t 0.5 ab (0.076±0.003 h) and eliminated with t 0.5 el (0.467±0.058 h). The peak serum concentration was (1.446±0.121 µg/ml) at T max of (0.282±0.008 h). The systemic bioavailability of Tylvalosin following oral administration was 33.84% and 14.06% after intramuscular administration. Conclusion: These results indicate that, after oral and intramuscular administration, Tylvalosin was rapidly absorbed and distributed to tissues of turkeys. However, repeated doses are necessary to maintain Tylvalosin serum concentration above the MIC for most susceptible microorganisms.
ANTI-INFLAMMATORY PROPERTY OF AMUKKARA CHOORNAM A POLY HERBAL PREPARATION: AN IN-VITRO STUDY

INTRODUCTION Inflammation is a normal protective response to tissue injury and it involves a complex array of enzyme activation, mediator release, fluid extravasations, cell migration, tissue breakdown and repair (Vane et al., 1995). It is a complex process, which is frequently associated with pain and involves occurrences such as increase in vascular permeability, increase of protein denaturation and membrane alterations (Umapathy et al., 2010). Harmful stimuli including pathogens, irritants or damaged cells initiate response of vascular tissue as inflammation. Inflammation is a protective attempt by the organism to remove injurious stimuli as well as initiation of the healing process for the tissue (Denko.1992). However, if inflammation is not treated it leads to onset of diseases like vasomotor rhinorrhoea, rheumatoid arthritis and atherosclerosis (Henson et al., 1989). In appreciating the inflammatory process, it is important to understand the role of chemical mediators. These are substances that tend to direct the inflammatory response. These inflammatory mediators come from plasma proteins or cells including mast cells, platelets, neutrophils and monocytes. They are triggered by bacterial products or host proteins. Chemical mediators bind to specific receptors. Vascular permeability, neutrophil chemotaxis, stimulate smooth muscle contraction, have direct enzymatic activity which induce pain or mediate oxidative damage. Most mediators are short lived but cause harmful World Journal of Pharmaceutical Research SJIF Impact Factor 8.074 Volume 8, Issue 1, 804-808. Research Article ISSN 2277– 7105
Graph Theoretic Approach to Social Network Analysis

In the last few years, there is a rapid growth of web and various social network sites which have enabled us to easily interconnect people all over the world in a shared platform. A social network is a social structure comprising individuals or organizations which hold dynamic ties between them. Social network can be visualized in terms of connected graph where individuals are represented by vertices or nodes and connections between individuals are represented by link or edges. The tendency of people based on their preferences, choices, likes or dislikes are associated with each other in a shared platform, which forms a virtual cluster or community. In this paper we generate a graph of communication network based on real life data collected from a social network site - Twitter. Several community detection algorithms are in place and our intention is to make a comparative study of these existing algorithms over our graph and detect the communities which cannot be viewed by mere observation.
FEATURE SELECTION BASED ON CHI SQUARE IN ARTIFICIAL NEURAL NETWORK TO PREDICT THE ACCURACY OF STUDENT STUDY PERIOD

A graduation prediction of student can be regarded as a nonlinear classification problem involving some academic parameters that has a goal to predict whether a student can graduate or not. One of the best classification methods which can be used to solve the problem is an Artificial Neural Network (ANN). Certainly, ANN needs a sufficient training data to obtain knowledge in order to classify the data since the inadequate training data can decrease the accuracy of the ANN. The accuracy can be increased by conducting a feature selection which becomes an input for ANN and eliminating the unimportant features which do not have correlation with the output of the ANN. In this research, the statistic approach using the Chi Square method was proposed to select the feature in student academic record data to be the input of ANN. The use of the Chi square succeeds to show which features having a significant influence towards the output of the ANN.
Software Quality Attributes for Secured Web Applications

: Quality attributes are the overall factors that affect run-time behavior, system design, and user experience. They represent areas of concern that have the potential for application wide impact across layers and tiers. Some of these attributes are related to the overall system design, while others are specific to run time, design time, or user centric issues. The extent to which the application possesses a desired combination of quality attributes such as usability, performance, reliability, and security indicates the success of the design and the overall quality of the software application. When designing applications to meet any of the quality attributes requirements, it is necessary to consider the potential impact on other requirements. You must analyze the tradeoffs between multiple quality attributes. The importance or priority of each quality attribute differs from system to system; for example, interoperability will often be less important in a single use packaged retail application than in a line of business (LOB) system. This chapter lists and describes the quality attributes that you should consider when designing your application. To get the most out of this chapter, use the table below to gain an understanding of how quality attributes map to system and application quality factors, and read the description of each of the quality attributes. Then use the sections containing key guidelines for each of the quality attributes to understand how that attribute has an impact on your design, and to determine the decisions you must make to addresses these issues. Keep in mind that the list of quality attributes in this chapter is not exhaustive, but provides a good starting point for asking appropriate questions
Comparison of Data Mining Methods on Different Applications: Clustering and Classiﬁcation Methods

: Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many ﬁelds, including machine learning, pattern recognition, image analysis, information retrieval, and bioinformatics. In this review we study different type if clustering methods.
Using Data Mining to Determine User-Specific Movie Ratings

— With the rise of various streaming services like Netflix and Amazon Prime, and the rise of movie collections offered by a single provider, the need for determining user-specific movie ratings increases. It is highly crucial for a company to know, and recommend the type of movies liked by users to increase customer retention and improve user experience. In this paper, we are going to use data mining techniques to analyse user preferences and determine user-specific movie ratings through the help of data mining techniques. We will use a movie database from IMDB and determine user specific ratings for each of them. The analysis of attributes of these movies will help us identify the decisive factors and identify user preferences accurately.
Slack Assessment of the Real Time Scheduling Algorithms

: Energy efficient system design is critical in global computing environments in both uniprocessor and multi-processor system. Many scheduling algorithms have been proposed in the recent years. Still there is a gap in the scheduling algorithms to avoid the slack existence among the processors. In this scenario the main objective of this work is to evaluate the slack occurrence of the real time scheduling algorithms. Whenever a task completes its execution before the worst case execution time then the slack was introduced in the processor. It increases the energy consumption of the system. Experientially modelled and simulated the Earliest deadline first (EDF), Rate monotonic (RM) and least laxity first (LLF) scheduling algorithms for randomly generated task sets using SimSo simulator. We also verified the Slack occurrence of these real time schedulers. Results concluding that LLF scheduler reduces the slack occurrence compare to EDF and RM.
Unsafe Driving Detection System using Smartphone as Sensor Platform

: Unsafe driving mainly includes driving either rashly or driving under the Influence (DUI) of alcohol, is a major cause of traffic accidents throughout the world. In this paper, we suggest a highly efficient system which helps at early detection and alert of dangerous vehicle maneuvers typically related to rash driving. The entire system requires only a mobile phone which will be placed in vehicle and with its inbuilt accelerometer and orientation sensor. After installing a program on the mobile phone, it will compute accelerations based on sensor readings and compares them with typical unsafe driving patterns extracted from real driving tests.
RECENT ADVANCES IN OPTICAL NETWORK TECHNOLOGIES AND ITS ROLE IN TELECOMMUNICATION INDUSTRY

Optical networking technology has been advancing swiftly for some decades now. The high bandwidth and low attenuation features of fiber optics has made it the major element of telecommunication infrastructure. To achieve the ever-growing demand of data in telecommunication industry, researchers have explored various networking technologies in optical domain as well as advanced equipment and programmability, boosting transmission up to gigabit and beyond. This paper reviews various optical communication technologies, recent advances in optical network, it’s role in telecommunication industry and its challenges.
ISOLATION, PURIFICATION AND CHARACTERIZATION OF ANTIBACTERIAL PROTEINS FROM INDUCED LARVAE OF ANTHEREAE MYLITTA DRURY (DABA TV)

Antibacterial proteins are evolutionarily ancient, effect or molecules of innate immune defense and are ubiquitously found in all kingdoms. The present study deals with the induction of antibacterial proteins in the haemolymph of Anthereae mylitta drury (Daba TV) by injecting non-pathogenic Pseudomonas DAS-01. Purified protein fraction obtained on ammonium sulphate precipitation followed by ion exchange chromatography had shown antibacterial activity against Pseudomonas aeruginosa AC-3 and Pseudomonas DAS 01. Flow through obtained in ion exchange chromatography found effective in inhibiting the growth of both P. aeruginosa AC-3 and Pseudomonas DAS 01. In induced larvae, purified antibacterial peptides obtained by ion exchange chromatography on SDS-PAGE had shown a molecular weight of 16kDa and 24kDa which have antibacterial activity and were not observed in control. INTRODUCTION: Anthereae mylitta drury a lepidopteran insect of the Saturniidae family produces tasar silk of commercial importance. The environment and various diseases of silkworm are major constraints in tasar culture which reduced the crop yield and made the silk industry unreliable 1 . In Anthereae mylitta drury the bacterial infections (flacherie) lead to rectal protrusion, sealing of anal lips and leading to chain type excreta. The causative organisms for this flacherie include Streptococcus sp. , Staphylococcus sp. , Bacillus thuringiensis, Serratia marcescence, Pseudomonas sp. , etc. Antibacterial peptides are evolutionarily conserved and have both hydrophobic and hydrophilic sides that enable the molecules to be soluble in aqueous environments yet also enter lipid rich membranes 2 .
GRANULAR ALL IN ADULT MALE: MASQUERADING AS AML

The presence of cytoplasmic granules in the blasts cells is a one of the main accepted and widely used morphological criteria to diagnose acute myeloid leukemia. A case of Acute lymphoblastic leukemia to have numerous cytoplasmic granules in the blasts is rare and can easily be misdiagnosed as acute myeloid leukemia. We describe a rare case of hyper-granular precursor B-cell acute lymphoblastic leukemia (ALL) in an adult male expressing CD10, CD19, TdT, HLA-DR, CD22, CD34 while negative for CD33, CD14, CD64, CD7, CD5, cMPO, and CD117. There can be chances of erroneous typing of granular ALL as AML when the limited antibody panel is used based on the basis of morphology. Hence it is important to be aware of such rare entity and to confirm the accurate lineage of acute leukemia by using a comprehensive antibody panel for immunophenotypic analysis.
A NOVEL MULTIMODAL BIOMETRICS BASED AUTHENTICATION AND KEY EXCHANGE SYSTEM

Security to the communications channels are latest threads to the communication society. Cryptography is the foremost technique for security and the new developments are needed in this area to get a strong security application. Biometrics is an emerging security technique which is mainly concentrate on the authentication security issues with the new multimodal technology. Biometrics based security features are already developed but for iris and retina based security is to be focused and exchanging of the key is a risky task for any one. Therefore this paper focused on the new technology multimodal biometrics for authentication and as well as for the key secured key exchange system.
OBJECT ORIENTED DESIGN METRICS FOR DESIGN AND COMPLEXITY ANALYSIS

Quality assurance is one of the imperative non-functional programming requirements which numerous software items neglect to fulfill. Current software market is driven for the most part by earnestness and rivalry. This represents a major issue to software quality affirmation, consumer loyalty and reliability of the product items. One of the techniques to guarantee programming quality is a measurements based approach. Programming measurements have been utilized to quantitatively assess programming items. Software measurements proposed and utilized for procedural worldview have been discovered deficient for protest situated programming items mainly in light of the recognizing components of the question arranged worldview, for example, legacy and polymorphism. In this paper, we have analyzed various software metrics based on difefrent criteria. The result of analysis suggests user or developer that how the software should be change or improved to comply with standards
A Stochastic Analysis on Message, Time and Energy Complexity on Wireless Sensor Networks

— Recently considerable contributions have been made in the area of wireless sensor networks (WSN) because they can monitor the environment in a more efficient and convenient way. These are increasingly deployed for applications such as wildlife habitat monitoring, forest fire prevention, battlefield, emergency relief, environment monitoring and military surveillance. Due to its wide-range potential applications sensor networks has recently emerged as a premier research topic. In many sensor network applications, often the ultimate goal is to collect sensing data from all sensors to certain sink nodes and the sensed data is aggregated and transmitted to the sinks for analysis. Typically, an aggregate (or summarized) value is computed at the data sink by applying the corresponding aggregate function, e.g., MAX, COUNT, AVERAGE or MEDIAN to the collected data. It is envisioned that the sink node issues queries regarding the data collected by some target sensors, and the sensors collaboratively generate an accurate or approximate response. Researchers have designed several energy-efficient algorithms for computing aggregates using the tree-based approach. Thus, in-network data aggregation [1] becomes an important technique in WSN and has been well studied in recent years. In this paper, we study three different data processing, operations, namely data collection, data aggregation, and data selection. For each problem, we will study its complexity and present efficient algorithms to solve it. The main contributions of this paper are as follows: We design algorithms for data collection, data aggregation and data selection whose time complexity and message complexity are within constant factors of the optimum. Thus, the method achieves the best trade-offs among the time complexity, message complexity, and energy complexity. The analysis and simulation results show that the proposed algorithm out performs other aggregation scheduling algorithms.
Yield improvement of cow pea through demonstration of improved variety (Bekur) with improved production technologies in Tanqua- Abergelle and Saharti-Samre Districts, Tigray, Ethiopia

Available online on http://www.ijlsci. in ISSN: 2320-964X (Online) ISSN: 2320-7817 (Print) This demonstration was conducted in 2016/17 production season in two purposively selected major cow pea producing areas namely Hadnet and Nebar-Hadnet kebelles from Tanqau-Abergelle and Saharti-Samre districts, respectively. The major objective of this research was to demonstrate high yielding improved cow pea variety so as to increase productivity of cow pea. The specific objectives were to estimate partial budget analysis and collect farmers’ perception on improved cow pea variety versus local cultivar. For this study, 35 sample farmers (18 from Hadnet and 17 from Nebar-Hadnet) kebelles were purposively selected based on their willingness to participate in cow pea demonstration. The average grain yield obtained from the improved cow pea variety and local cultivar at Hadnet and Nebar-Hadnet kebelles/locations were (10.61 and 14.06 qt/ha) and (7.17 and 9.1 qt/ha), respectively. These shows 47.9% and 54.5% grain yield increment over the local cultivar, respectively. The average straw yield obtained from the improved cow pea variety and local cultivar at Hadnet and Nebar-Hadnet kebelles/locations were (28.64 and 33.38 qt/ha) and (26.58 and 30.35 qt/ha), respectively. These shows 7.8% and 9.9% straw yield increment over the local cultivar, respectively. The average gross income generated from grain and straw yield of improved cow pea variety and local cultivar at Hadnet and Nebar-Hadnet kebelles/locations were (14,045.04 and 17,079.98 ETB/ha) and (9,642.84 and 11,075.79 ETB/ha), respectively. These shows 45.7% and 54.2% gross income increment over the local cultivar, respectively. The partial budget analysis results indicate that improved cow pea technology was highly profitable compared to local cultivar in both kebelles/locations. Based on farmers’ perception analysis result, except the attribute of straw yield, most of the respondents had favored the improved cow pea variety (Bekur) in its grain yield, maturity, pods per plant, seeds per pod, seed uniformity, seed color, marketability, pests resistance, taste of food and time of cooking than the local cultivar (Adengur). Hence, farmers should produce high yielding and early maturing improved cowpea variety that can generated more income instead of producing low yielding, late maturing and less income generating local cow pea cultivar. Besides, further popularization and scaling out of the improved cow pea variety (Bekur) in a similar agro-ecology should be done by the research center and office of agriculture and rural development of the respective districts.
Development of Tasks with Art Elements for Teaching Engineers in English for Specific Purposes Classroom

This article defines the modern interdisciplinary trends in engineering and the collaboration of engineering with other sciences. Science, Technology, Engineering, Arts (STEAM) approach has been chosen as suitable for teaching engineers in English for Specific Purposes (ESP) classroom. The authors created different tasks with art elements in teaching ESP. The topics of the tasks are: material properties, environmental/global sustainability issues, human factors engineering, employment of engineers, and engineering education. Scaffolding, appropriate time management, cooperation, creative atmosphere, native materials are the conditions for the effective usage of the tasks within STEAM approach. The results of the pedagogical experiment in 2019 at the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (Igor Sikorsky KPI) amongst 30 chemical engineers proved the improvement of language skills and other skills of the 21 century such as cooperation, digital, problem-solving, creative thinking. An anonymous questionnaire confirmed students’ positive perception of the STEAM approach.