Miracle-dz/UniFAR-FTUs huggingface dataset:
A Framework using NLP to automatically convert User-Stories into Use Cases in Software Projects

To develop quality software within time and cost we have to follow the available rules and methods of modern software engineering. There are many different approaches used. At one hand we have in the analysis stage of a software engineering project the so called user stories that capture what the user does or needs to do within the developed Software System. User stories provide the functions that the system should have. User Stories are considered as a tool for rapid requirements gaining in the Analysis Phase of a Software Engineering Project. They are considered as a very effective way to communicate requirements but still inexpensive and easy to develop. But when we are going from the analysis phase to the design phase we face the lack of details in the requirements with user stories, therefore we better use the called Use Case instead of user stories. The use cases are a list of steps to achieve functionality or a goal within a software system. This interaction is normally done between a user and the software system. Therefore we want to combine both techniques in the approach of developing and validating requirements without extra efforts to rewrite the user stories into use cases. In this work I will provide a framework to automatically convert the user stories into use cases with the use of Natural language processing techniques. A case study is developed for this framework with results showing the percentage of correctly detected actors and use cases.
Annals of Plant Sciences

In the present study GUS gene transformation was carried out in eggplant using Agrobacterium strain with pBAL2 vector harboring gus gene and nptII as selection marker gene. The factors which are affecting (enhancing) the frequency of transient gus gene expression are different physical and biochemical variables has been carried out. It is observed that the 4 day precultured explants showed the minimum survival rate in the medium when compared with 2day co cultivated medium. The explants which had undergone co-cultivation for 4 to 5 days showed GUS activity, the tissues were adversely affected due to the overgrowth of bacteria. The gene specific primers for nptII and gus gene were used for amplification and it has given 680bp and 1.9 kb amplified fragments respectively and recorded. The band was detected in the selected plants, but it was absent from the negative control (non-transformed) plant in the Southern hybridization. Our experiment showed 0.80-1.60 percentage of efficiency in transformation. With a total of 849 infected shoots were undergone confirmation tests which results 9 PCR positives (1.06% efficiency). The Transformant kept in the Environmental Growth Chamber and transferred to field condition subsequently.
Reliable Detection of the Fungal Pathogen, Molecular Detection and Identification Fusarium oxysporum

Fusarium oxysporum is a ubiquitous species complex of soil-borne plant pathogens comprising of many different formae speciales, each characterized by a high degree of host specificity. Fusarium oxysporum is a ubiquitous inhabitant of soils worldwide and causes diseases such as wilt, yellows and damping-off in different plant species. Rapid and reliable detection of the pathogen is essential for undertaking appropriate and timely disease management measures. The time-consuming and laborious classical detection methods are now being increasingly replaced by culture-independent molecular detection techniques, which are much faster, more specific and sensitive. The molecular techniques like microarrays, whole genome sequencing, DNA barcoding, metagenomics etc. can identify a large number of isolates in a single assay. Some of the emerging tools will also allow complete analysis of developmental processes that are characteristics of the fungus, including the molecular nature of pathogenicity.
ANTIMICROBIAL ACTIVITY OF SUPERCRITICAL CARBON DIOXIDE EXTRACTS OF TUBEROSE (POLIANTHES TUBEROSA LINN.) FLOWERS AGAINST COMMON PATHOGENS

Tuberose flower extracts were obtained by green technology of Supercritical carbon dioxide (SC-CO2) extraction and solvent extractions (using n-hexane and petroleum ether of b.p. 60-80 °C). Antimicrobial activities of these extracts were tested in vitro against Staphylococcus aureus, Pseudomonas aeruginosa, Escherichia coli, Helicobacter pylori, Vibrio cholerae and Candida albicans. No activity was found against H. pylori and V. cholerae. Antimicrobial activities of the extracts were established by minimum inhibitory concentration (MIC) assays against the remaining test microorganisms. The SC-CO2 and solvent extracts showed potency against all test microorganisms. SC-CO2 extract obtained at 40 °C, 100 bar pressure, 135 min extraction time, and n-hexane extract showed most promising results, among all the extracts. However, considering the global need for green extracts for therapeutic applications, SC-CO2 extraction is the recommended technique for extracting antimicrobials from tuberose flowers. The chemical constituents conferring antimicrobial potencies to the extracts were also identified by GC/MS
AUTOMATIC QUESTION GENERATION FROM PUNJABI TEXT WITH MCQ BASED ON HYBRID APPROACH

: Automatic question generation is an important area of Natural Language Processing that deals with the automatic generation of questions from the given sentence or paragraph in any Indian languages like Hindi, Punjabi, Marathi, Telugu, Gujarati, Urdu, Bengali, Malayalam, Kannada etc.,. This paper is presenting the research on automatic generation of questions from the given paragraph in Punjabi language and also the system will generate the multiple choice questions from the generated questions. Generation of multiple choice questions is very important because this helps anyone to test their knowledge in specific field. One can give the answer easily by choosing one option from a given set of options provided by the system and then system evaluate the given answer and generate the result for all the given answers. Various Punjabi language dependent rules and examples have been developed to generate output based on the given input. Questions will be generated by the proposed system on the basis of these rules and examples. The system will use rule based approach, pattern matching and information extraction. Rules are made according to some keywords like “names”, “location names”, “dates” , “years” etc. A corpus in Punjabi language is also to be created which find the named entities for the names of persons, cities, places etc .
Effect of Extracts of Ginger Goots and Cinnamon Bark on Fertility of Male Diabetic Rats

This study was performed to investigate the effects of ginger roots and cinnamon bark extracts on fertility of male diabetic rats and levels of blood glucose as well as serum insulin and testosterone hormones. The experiment was carried out on sixty mature male Sprague Dawley rats distributed into 6 groups of 10 rats each. One group was kept as normal control, while rats of the other five groups were rendered diabetic by intraperitoneal injection of alloxan in a dose of 120 mg/kg b.wt. , as a single daily dose for 3 days. Group (2) was left as diabetic control, while rats of groups (3) and (4) were given orally ginger extract at 250 and 500 mg/kg b.wt. , respectively, daily for 65 days to cover the period of spermatogenesis in the rat. Rats of groups (5) and (6) were given orally cinnamon extract at the same doses of ginger and for the same period. The results showed that oral administration ginger extract at 250 and 500 mg/kg and cinnamon extract at 500 mg/kg to diabetic male rats for 65 days increased the weight of testes and seminal vesicles; improved semen quality and quantity; decreased blood glucose level and increased serum insulin and testosterone levels. The extracts also ameliorated the degenerative lesions which seen in the testes of diabetic rats. This study recommends that intake of ginger roots or cinnamon bark as a drink may be beneficial for diabetic patients who suffer from sexual impotency as their extracts induce antidiabetic activity and enhance male fertility in diabetic rats. [Journal of American Science 2010;6(10):940-947]. (ISSN: 1545-1003).
HOMOMORPHIC HANDOVER AUTHENTICATION TECHNIQUE FOR MOBILE CLOUD COMPUTING

— Mobile Cloud Computing has brought the IT industry to a new level by providing an innovative technique with the help of which one can access anything, anytime from anywhere. It is an industry buzz word since 2009 and a relatively new concept that combines cloud computing, mobile computing and wireless networking. This technology has uplifted the usability experience of mobile users. Over the past few years with huge increase in number of mobile users the requirement of mobile computing technology i.e. cloud computing in mobile devices has also increased enormously. With the gain of popularity in industry this technology faces many challenges in terms of security, bandwidth, mobility, storage capacity, performance, reliability etc. Amongst all these challenges, security challenges remain the prominent one. Secure and efficient handover of mobile nodes is required when mobile nodes move from one access point to the other. The main objective of this paper is to provide efficient and secure homomorphic handover approach to the mobile nodes in cloud environment.
Selective Serotonin Reuptake Inhibitors, are They All Equal? A

Introduction: According to the French health authorities’ guidelines relative to depression and anxiety disorder treatments, six Selective Serotonin Reuptake Inhibitors are available for prescription as a first-line of treatment. The guidelines suggest equivalence between these treatment options, but studies diverge regarding efficacy and safety profiles. Moreover, conditions in clinical trials are strictly controlled and do not truly reflect real life utilization. The objective of this study was to evaluate differences in efficacy and/or safety between these six selective serotonin reuptake inhibitors in real conditions of use. Methods: Efficacy and safety were evaluated using a regional database of the French national health insurance. Patients who received a selective serotonin reuptake inhibitor for a new depressive disorder and who were compliant to the treatment for a period of at least 6 months were included. Events indicative of a lack of efficacy and/or safety during the 12-month follow-up period were identified in the database (i.e., a dose increase, a switch to another antidepressant drug or an association with another antidepressant drug). A Cox model was used to compare the frequency and the delay to onset of each type of indicative event for each selective serotonin reuptake inhibitor. Results: Out of 3542 patients included, 1081 (30.5%) experienced an indicative event. The Cox model showed differences in terms of efficacy and safety. Patients treated with paroxetine, sertraline or citalopram as a first antidepressant were more likely to present a therapeutic failure than those treated by escitalopram or fluoxetine. Conclusion: A Cox model identified differences between selective serotonin reuptake inhibitors in terms of efficacy and/or safety profile. Our study positioned Escitalopram as the most efficient and/or safe treatment option. This study strategy can viably be used to evaluate the real life usage and effects of other drugs, an essential part of post approval evaluation.
Bacteria can ( Eat , Move , See , Smell and Talk ) the Five Senses of Human but in Different Way Rehab

It is undoubtedly that the senses of living organisms has a lot of importance in communications and protection and differs according to its evolution bacteria as prokaryote has primitive life was not expected to possess the senses as human, but scientists have found that it has four out of five of these senses will be demonstrated in this review article is not to their importance only primitive as the recent discoveries about the bacteria, but due to its importance in controlling and treating the pathogenic bacterial diseases.
Context-aware middleware in QRCS System

In the times of a disaster, there is a need for coordination of resources and quick response in order to minimize and rectify the damage done. Quick Response Co-ordination System (QRCS) provides a robust, mobile web application architecture to locate, allocate and track resources. It concentrates on quick communication and coordination between the disaster management team and resource handlers for better managing and mapping of resources for faster aid and rescue. A context-aware infrastructure manages the context model representing contextual information and provides appropriate information. In this paper, we introduce Context-Aware Middleware for QRCS as a context-aware infrastructure for a distributed intelligent QRCS and discuss the JSON-based context modeling and reasoning approach which will be used in the infrastructure.
COMPARISON BETWEEN 2D EVALUATION OF MYOCARDIAL ENHANCEMENT

Aims and objective: Assessment of late gadolinium enhancement of myocardium in ischemic and non-ischemic cardiomyopathies holds a strong diagnostic and prognostic importance specially in terms of viability. The presen between the post contrast sequence for detecting infarcted or fibrosed myocardium tissue, for proper identification of LGE is important to narrow down the differential diagnosis. Our main aimwas to provide a comparison between 2D resonance imaging in the evaluation of myocardial enhancement Materials and Methods: 40suspected cases of ischemic & non underwent CMR with contrast. For all cardiomyopathies their LGE pattern was assessed by 2DPSIR and 2D Further image quality assessment was done at qualitative, inter levels for both the sequences Results: Kendall Tau-b showed poor agreement between qualitative variability of overall image quality in PSIR & IR, (Kendall's tau-b = 0.23**, p = 0.046) PSIR showing significantly better over-all image quality which are independent of nulling time selection. There was significant difference in quantitative assessment that is CNR for PSIR v/s IR was (p<0.001) A good inter-observer agreement for PSIR and IR image quality assessment (kendall tau-0.74, p<0.001). Conclusion: To our best knowledge, this is the first prospective studyto compare 2D and 2D-IR sequences at 1.5T with delayed contrast–enha (MR) imaging value in the evaluation of ischemic and non cardiomyopathies, with respect to presence &extent of LGE and viability assessment.PSIR revealed a better imaging quality with higher diagnostic con of artifacts, sharpness and over all quality. technique in et al., 2010) . Assessment Proper inversion time (TI) should be accurately selected for better contrast between the normal and abnormal areas in the myocardium. With the target of stream lining our acquisition protocol to adapt increment in CMR indications, our study’s fundamental aim was to compare the differences between 2D minutes) and late 2D-IR (at 15 minutes) and quantitatively and to determine which one offers the better imaging and diagnostic qualities. MATERIAL AND METHODS This prospective study was conducted in the department of Radio diagnosis and Imaging, over Institutional ethical committee’s permission was obtained and all the patients were informed before taking their consent. Total number of patients in our study were criteria for our study was clinically suspected cases of n ischemic cardiomyopathies without coronary artery disease and Ischemic cardiomyopathies with coronary artery diseases 6505, Impact Factor: SJIF: 5.995
Ontology Equipped Natural Language Processing for Real World Applications

— Natural language processing is an area of artificial intelligence that defines a set of methods and techniques used to automate the translation process between computers and humans or mediate the human-machine communication. NLP focuses on developing systems that allow computers to communicate with people using everyday language and also concerns how computational methods can aid the understanding of human language. To make this possible, NLP has to deﬁne a communication format and software able to analyze, understand and give appropriate response. For the communication level, a formal representation of the knowledge is needed that can be represented by ontology. Ontology represents knowledge in a formal model based on conceptualization. This paper has threefold objective. Firstly, it defines ontology as a concept based model to represent objects, concepts, entities and relations that exist between objects. Users’ access to information and the presentation of information to users are both mediated via natural language, and the ontology used in the reasoning component is coupled with the lexicon used in the natural language component. Secondly, it throws light on ontology framework that is based on the resource description framework (i.e. defines ontology metadata) and classification of ontology languages. Thirdly, it focuses on role of ontology in natural language processing applications viz. Knowledge representation, semantic annotation and conceptual indexing along with various advantages and disadvantages .
Frequency Selective Fading in Wireless Communication using Genetic Algorithm

: Mobile communications and wireless network have experienced massive growth and commercial success in the recent years. With the prevalence of higher bandwidth application, such as 3G, WiFi, WiMax, UWB and other such technologies, the frequency selective fading issue becomes more important for wireless network simulation. It will be of great interest to implement more functionality support for frequency selective fading using genetic algorithm. The methodology implemented involves simulating a GSM carrier frequency and bandwidth, and use pilot data to estimate the channel phase. These are simulated in MATLAB environment using genetic algorithm toolbox. The model was then integrated into image processing, which will give a better environment to simulate a wireless network model. PSK, ASK and QAM modulation models are used to test the effect of different channels to the received data. The O-MPSK schemes were compared with MPSK scheme in terms of BER for SNR values of 0 to 20 dB. The O-MPSK investigated include 2  -QPSK, 4  -8PSK, 8  -16PSK, 16  -32PSK and 32  -64PSK. The results reveal that the O-MPSK schemes outperform the MPSK schemes for both MIMO-SM and MIMO-BF as the O-MPSK schemes give relatively lower mean BER compared to the MPSK schemes
Design and Analysis of ANFIS Controller to Control Modulation Index of VSI Connected to PV Array

This paper analyses the operation of an adaptive ne uro-fuzzy inference system (ANFIS)-based maximum po wer point tracking (MPPT) for solar photovoltaic (SPV) energy generation system. The MPPT works on the pri nci le of adjusting the voltage of the PV modules by chang ing the duty ratio of the Voltage source inverter. The duty ratio of the inverter is calculated for a given solar irr adiance and temperature condition by a closed-loop c ntrol scheme. The closed-loop control of the VSI regulat es the duty ratio and the modulation index to effec tiv ly control the injected power and maintain the stringent volta ge, current, and frequency conditions. The ANFIS is trained to generate maximum power corresponding to the given s olar irradiance level and temperature. The response of the ANFIS-based control system is highly precise and of fers an extremely fast response. The main objective for a gridconnected Photovoltaic (PV) inverter is to feed the harvested energy from PV panels to the grid with h igh efficiency and power quality.
Financial Development, Trade Openness and Economic Growth: Evidence from Sultanate of Oman (1972-2012)

There is a huge debate on the impact of financial development and trade openness on the economic growth. Accordingly, this study investigated the role of financial development, trade openness on economic growth in a small and open country i.e., Sultanate of Oman during the period 1972-2012. We apply the recently developed econometric techniques: namely the unit root tests for stationarity, Johansen and Juselius (JJ) for cointegration in VAR framework and Granger causality test for causal relationships in addition, variance decomposition analyses (VDC) based on VAR results is computed in order to address the question of causality between trade openness, financial development and economic growth beyond the selected time span. The Granger causality test indicates unidirectional causality from economic growth to financial development, while empirical results derived from VDCs show that trade openness shock is the most important source of shock to GDP and financial development. Indicating unidirectional causality running from trade openness to the other two series. Shock to trade openness is important sources of variability for its own at first, but this self-effect diminishes in a very small portion. Our finding indicates that economic policies aimed at trade openness have a statistically significant impact on financial development and economic growth. Keywords: Financial Development, Trade Openness, Economic Growth, VAR, Variance Decomposition, Impulse Response Function, Sultanate of Oman
Dynamics of an exploited prey-predator fish species with Beddington-DeAngelis functional response

This paper deals with the combined harvesting of a prey-predator fishery with the Beddington-DeAngelis functional response [1,2]. The Beddington-DeAngelis functional response is similar to the Holling type II functional response but contains one extra term describing mutual interference by the predators. Here the prey species obeys the logistic law of growth [3]. The existence of the steady states of the dynamical system is discussed. Both local and global stability of all possible steady states are studied. It is also examined whether the system possesses any limit cycle. Existence of bionomic equilibrium is also examined. All the results are illustrated with the help of a numerical example.
A Fuzzy Based Stator Inter-Turn Fault Diagnosis of Three Phase Induction Motor

This paper deals with detection and diagnosis of Stator Inter turn fault of three phase Induction motor. The proposed method is based on the stator current Clarke vector pattern. Three phase stator currents are used to construct Clarke vector pattern in order to distinguish the “healthy” and “faulty” condition of induction motor. The covered area for each pattern is calculated and the per unit change in area from normal condition is used to identify the severity of faults. The main objective of this work is to establish a system capable of detecting the stator condition of the induction motor by monitoring the stator currents only. Using this current sample data, the Fuzzy logic based analysis and fault identification is made. A MATLAB based simulation of the proposed Clarke vector pattern for an induction motor is made. This method is verified experimentally on a 0.5 HP, 415 V, 3-Ф squirrel-cage Induction motor to check the accuracy with simulation results.