Miracle-dz/UniFAR-FTUs huggingface dataset:
CEBPS : Cluster Based Effective Breast Cancer Prediction System

: Breast Cancer malignancyis considered to be one of the disorders that make a high assortment of cancer disease worldwide. It is the most well-known kind everything being equal and the rule reason of women's demises worldwide. Breast Cancer Diagnosis and Prognosis are two medicinal requesting circumstances to the analysts inside the order of logical research Classification and information mining systems are a successful method to arrange realities. Particularly in logical field, wherein those techniques are broadly utilized in examination and investigation to decide the nature of the disease. The reason for this exploration is to build a remarkable model of medicinal issue with respect to early forecast of the breast disease and its dimension in expressions of benevolent and dangerous. The essential dataset of breast cancer most malignancies is collected from UCI dataset store with the end goal of trial work.
Approach for High voltage transmission line protection by using line trap network & ANN over SVM

—This paper presents a new approach to classify fault types and predict the fault location in the high-voltage power transmission lines, by using ANN over Support Vector Machines (SVM) and Wavelet Transform (WT) of the measured one-terminal voltage and current transient signals. Wavelet entropy criterion is applied to wavelet detail coefficients to reduce the size of feature vector before classification and prediction stages. The experiments performed for different kinds of faults occurred on the transmission line have proved very good accuracy of the proposed fault location algorithm. The fault classification error is below 1% for all tested fault conditions. Efficiency of this method is 89% as compared with Support vector machine technique having 73% efficiency and the maximum error did not exceed 0.95 km.
Survey on Stock Market Analysis Using Soft Computing Methods

: The key to flourishing exchange prognostication is achieving finest outcome with least needed input file. Given exchange mode l ambiguity, soft computing techniques ar doable candidates to confine exchange nonlinear relations continual important prognostication results with not primarily previous information of input file applied mathematics distributions. This paper s urveys over one hundred connected out there articles that target neural and neuro-fuzzy techniques succeeding and applied to forecast stock markets. Classifications ar finished in terms of input file, prognostication methodology, and performance estimate and performance measures used. Through the surveyed papers, it's exposed that soft computing techniques ar extensively established to finding out and evaluating exchange performance.
Knowledge, Attitude, and Behavioural Practice of Elementary Teacher of ADHD Children: Impact of an Educational Intervention

Background: According to Saudi Arabia Attention deficit hyperactivity disorder (ADHD) Society, ADHD is one of the most common psychiatric disorder among children and affect both gender with total prevalence of male: 7.4% and female: 4.2% in Jeddah city. The aim was to investigate the effectiveness of an educational program on exchanging elementary school teachers’ knowledge, attitudes and behavioral practices toward ADHD children. Methods: A quasi-experimental, quantitative, (pre/ post one group) research design was used with 57 elementary teachers recruited conveniently from 4 schools located in Jeddah city and affiliated to Ministry of Education, Saudi Arabia. Data were collected by using 3 main tools which are The Knowledge Attention Deficit Disorders (KADDS) scale, The teacher attitude towards inclusion scale (TAIS), and Teacher Intervention Survey which was used to assess teachers’ perceived familiarity with interventions commonly recommended with students with ADHD. The results: Nearly half of the sample were aged between 31 -40 years with total mean score (35.86±7.09) and (80.0%) of them had bachelor’s degree in general education and there is a significant difference between pre knowledge assessment (11.8±5.9) compared with post (18.2±4.9) with highly significant difference t=-6.81 at P.V (0.000) as well the difference between pre and post behavioral practices of studied sample at p= 0.000. Conclusion: the present study suggests that a brief professional educational intervention can be utilized to greatly increase teachers’ ADHD knowledge, providing a cost-effective, practical solution to address the well-evidenced gap in teachers’ training and knowledge about the disorder. Whereas improving attitudes was minor with no significant difference between pre/post assessment. Therefore, it is recommended to incorporate ADHD training programs into teacher-training curricula either in elementary special or general education, with regular reinforcement through in-service training.
A Review of Facial Expression Recognition in Human Using Particle Swarm Optimization and Support Vector Machine

Facial expression is a natural nonverbal communication language. A person can express his or her sentiments/ state of mind through facial expressions but sometimes these expressions are not good enough for recognition systems, they have to be more refined to get right results. This issue still needs an attention, but many algorithms have been proposed so far to handle these vague expressions. Consequently, developing a robust facial expression recognition system which can recognize facial expression in humans and can serve as an important component of natural human-machine interfaces is highly required. Support Vector Machine (SVM) among other algorithms has a very good generalization capability and dynamic classification scheme which makes it suitable for facial expression recognition. Support vector machines have previously been successfully employed in a variety of classification applications including identity and text recognition as well as DNA microarray data analysis.This paper presents the review of particle swarm Optimization (PSO) and support Vector machine. The review takes into consideration, the contribution of many authors on this issue. Facial expression analysis is an interesting and challenging problem and impacts important applications in many areas such as human interaction and data-driven animation. Deriving an effective facial representation from original face images is a vital step for successful facial expressing recognition.
Text-To-Speech Synthesis for Marathi and Prosody Conversion

: Text-To-Speech synthesizer converts the input text into the speech waveform. The generated speech from such a Text-To-Speech synthesis system is generally emotionless and monotonous. So as not to get it to the listener boring, it is needed to add prosody into the synthetic speech. The objective of the proposed work is to modify the prosody of a neutral speech, generated by a Marathi text-to-speech synthesizer. The synthesizing system works on unit selection principle. The present paper sheds light on the prevalent approaches of speech generation and adding expressivity by modifying the neutral speech parameters. Unit selection based system generates the synthetic neutral speech and its spectral parameter variation pours expressivity to it. From the speech generated from TTS system, stressed word and syllables are identified to add expressivity in the form of interrogate. Replacing the pitch tier the result is obtained. Results of the subjective experiments show the effectiveness of the system.
Efficacy of Lactobacillus acidophilus on the sperm quality and regeneration of spermatophores in Penaeus monodon (Fabricius, 1798)

The annual global production of farmed shrimp has grown at the rate of 8% since 1989. In 1998, the production reac hed 1,113,887 mt, representing around 32% of world shrimp and prawn catches [1]. T he industry has expanded mostly through Southeast Asia and Latin America, where diverse penaeid species are cultured. The most important species in Latin America is Penaeus (Litopenaeus) vannamei, followed by P. (Litopenaeus) stylirostris and P. (Litopenaeus) schmitii. In Asia P. monodon, P. chinesis, P. (Marsupenaeus) japonicus, P. pencillatus, P. merguiensis, and P. indicus are cultured [2]. The traditional dependency on wild stock for naupii production will thus change towards a more controlled production of genetically improved animals, selected for impo rtant aquaculture traits like growth rate and dis ease resistance [3]. However, t he genetic improvement of shrimp requires the application of breeding programs, which relay to excellent gamete quality, controlled fertilization, and, if possible, cryogenic storage. For this a proper understanding of basic shrimp reproductive biology, and the developm ent of in vitro fertilization techniques and cryogenic p rotocols for gametes, embryos, and larvae are needed.
Analysis and Implementation of Unipolar PWM Strategies for Three Phase Cascade Multilevel Inverter Fed Induction Motor Drive

This paper presents unipolar pulse width modulation technique with sinusoidal sampling pulse width modulation are analyzed for three-phase five-level, seven-level, nine-level and eleven-level cascaded multi-level inverter. The unipolar PWM method offers a good opportunity for the realization of the Three-phase inverter control, it is better to use the unipolar PWM method with single carrier wave compared to two reference waves. In such case the motor harmonic losses will be considerably lower.The necessary calculations for generation of unipolar pulse width modulation strategies have presented in detail. The unipolar SPWM voltage switching scheme is selected in this paper because this method offers the advantages of effectively doubling the switching frequency of the inverter voltage. The cascaded multi level inverter fed induction motor is simulated and compared the total harmonic distroction for all level (five-level, seven-level, nine-level and elevel-level)of the inverter. Theoretical investigations were confirmed by the digital simulations using MATLAB/SIMULINK software.
A Recent Survey on Various Scene Text Recognition and Detection in Images

Scene text recognition brings many new challenges. research area in the image processing area because of complex background, unidentified outline, scene text, numerous character fonts and sizes and variability in imaging conditions with uneven lighting, shadowing and aliasing, resolution and thus can provide useful information for a wide range of vision tasks of text or image and illumination changes.
Study of Effects of Extremely Low Frequency Electromagnetic Radiation on Biochemical Changes In Satureja Bachtiarica L

Absract— Plants are organisms that are exposed to various abiotic and biotic environmental impacts. Plants are able to recognize and respond to their surrounding environment with high specificity. Electromagnetic field radiation is an important effective stress factor on growth and development of plants. Our research were focused on plants grown from wet pretreated seeds with low frequency electromagnetic field exposure and compared with the control Three replicates were used in the experiment with 30 seeds in each samples. The wet seeds treatment, were spread on the moist filter papers in Petri dishes and then were placed in the middle parallel coils of electromagnetic radiation generator and were exposed by a magnitude of 1mT, to 2hr. Untreated seeds were used as control under similar condition. It means they were placed in the similar coil but not connected to the power. Study of morphological and growth of seedlings, showed that in treatment samples, in comparison to control, the percentage of seed germination and average of root length increased, but different of root length was not significantly. A significant decrease in mean of shoot length, rate of Leaf area, fresh and dry weight was abserved, Also caused significant increase in activity of non-enzymatic antioxidant content in treatment samples in comparison of control.
Screening of diesel oil degrading bacteria from petroleum hydrocarbon contaminated soil

Four bacterial strains were isolated from diesel contaminated soil in TVS oil depot, Trichy, Tamil Nadu. From the soil sample four morphologically different bacterial species were isolated and the active strains were Pseudomonas aeruginosa, P. putida, Arthobacter sp and Bacillus sp. The diesel degrading efficiency of isolated organisms was tested in BH medium supplemented with diesel and DCPIP for 14 days. Among the four isolated species incubated and monitored in diesel supplemented medium for 14 days, the maximum diesel biodegradability was noticed in P. putida sp at fourth day itself and a TPC 64 x 10 CFU at a temperature of 30°C and pH 5. This study revealed a qualitative evaluation of potentials of hydrocarbonoclastic bacteria degradation of hydrocarbon. Thereby giving a measureable ability of these groups of bacterial possible use in hydrocarbon impacted soil remediation.
Performance Evaluation of Large-Scale Wireless Sensor Networks Communication Protocols that can be Integrated in a Smart City

: In the past few years the Smart City concept is a very topical issue being addressed by many research centres around the world. This paper presents the WSN communication protocols used as part of the smart city concept. Thus, we have analyzed the communication means that can be integrated in such a smart city concept, by taking into account the advantages and disadvantages of each particular technology
Security and Safety With Facial Recognition Feature for Next Generation Automobiles

: This is the era of automated cars or self-driving cars. All car vendors are trying to come up with different advancements in the cars (Like Automatic car parking, Automatic Lane changing, automatic braking systems, android auto, car connect, Vehicle to external environment technology etc). In the automation industry, TESLA, Google and Audi are the most competent leader among each other as well as for other automation business also. Modern vehicles are all equipped with different technologies like navigation system, driver assistant mode, weather mode, Bluetooth, and other safety features which brings broader impact to quality of human’s life, environmental sustainability. This paper explains how the proposed feature, unlocks the semiautonomous cars or autonomous cars safely and provides the safety to the entry level cars. The acknowledged pictures are put away in the picture database amid confront acknowledgment by utilizing Support Vector Machine (SVM) classifier. Information from confront pictures through picture pressure utilizing the two-dimensional discrete cosine change transformation (2D-DCT). A self-arranging map (SOM) utilizing an unsupervised learning method is utilized to order DCT-based element vectors into gatherings to distinguish if the picture is "available" or "not available" in the picture database. The face is detected by the event that the framework perceives faces, only the authentic users are able to start the ignition of the car and untheorized users are not allow to start the ignition.
An Enhanced Service-Oriented Relationship Modelling of Web-Service using Ontologies

— This paper is an attempt to develop an Ontological bootstrapping which aims at automatically generating concepts and their relations in a given domain. Bootstrapping an ontology based on a set of predefined textual sources, such as Web services, must address the problem of multiple, largely unrelated concepts. In this paper, we present techniques for bootstrapping and populating specialized domain ontologies by organizing and mining a set of relevant overlapping services provided by the service provider. In order to enable widespread usability for the Semantic Web there is a need to bootstrap large, rich and up-to-date domain ontologies that organizes most relevant concepts, their relationships and instances. We construct the bootstrapping ontologies using the methods of Token Extraction, TF/IDF (Term Frequency / Inverse Document Frequency) and using Web Content extraction. Then we model the relationship between the services. We constructed the bootstrapping Ontologies in JAVA and show our results proving that these Ontologies helpful in Web service Discovery.
BAOJ Pathology

BAOJ Pathol, an open access journal Volume 1; Issue 3; 014 Original Health Pro�ile of Type 2 Diabetic Patients in Rural North India: A Cross Sectional Community Based Study Shah Sumaya Jan1, S Muhammad Salim Khan2, Sheikh Imran Sayeed3, Sheikh Mohd Saleem4* and Abdul Rouf4 1Postgraduate scholar, Department of Anatomy, Government Medical College, J&K, India 2Head & Professor, Department of Community Medicine, Government Medical College, J&K, India 3Head and Associate Professor, Department of Physiology, Government Medical College, J&K, India 4Department of Community Medicine, Government Medical College, J&K, India
Emotional Intelligence, Work Family Conflict, and Job Satisfaction on Junior High School Teacher’s Performance

Female workers do not always get the same rights as their male colleagues. Many women are forced to dispel their desires to become structural career women because they are unable to compete with men. Therefore, it is necessary to have clear performance measurements to prove that female teachers also have good performance. The research was conducted using explanatory research with a quantitative approach. The test was conducted by SEM analysis techniques using AMOS. The study found a significant influence between Emotional Intelligence on Job Satisfaction as well as Job Satisfaction on Commitment. In the next test it was found that Job Performance was only influenced by family conflict in a negative direction, while Commitment and Job Satisfaction had no effect on Job Performance.
STUDY AND ANALYSIS OF VARIOUS ROUTING PROTOCOLS IN VANETS

: Routing in Vehicular Ad hoc Networks is a challenging task due to the unique characteristics of the network such as high mobility of nodes, dynamically changing topology and highly partitioned network. It is a challenge to ensure reliable, continuous and seamless communication in the presence of speeding vehicles. The performance of routing protocols depends on various internal factors such as mobility of nodes and external factors such as road topology and obstacles that block the signal. This demands a highly adaptive approach to deal with the dynamic scenarios by selecting the best routing and forwarding strategies and by using appropriate mobility and propagation models. In this paper we review the existing routing protocols for VANETs and categories them into a taxonomy based on key attributes such as network architecture, applications supported, routing strategies, forwarding strategies, mobility models and quality of service metrics. Protocols belonging to unicast, multicast, geocast and broadcast categories are discussed. Strengths and weaknesses of various protocols using topology based, position based and cluster based approaches are analysed. Emphasis is given on the adaptive and context-aware routing protocols. Simulation of broadcast and unicast protocols is carried out and the results are presented.
A COMPARATIVE STUDY ON THE EFFECTIVENESS OF ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACEIs) AND ANGIOTENSIN RECEPTOR BLOCKERS (ARBs) IN DIABETIC NEPHROPATHY IN TYPE 2 DIABETES MELLITUS PATIENTS

Objective : To observe the clinical outcomes on usage of angiotensin converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) in type 2 diabetic nephropathy patients. Methods : A total 70 patients diagnosed with diabetic nephropathy were treated with ACEIs or ARBs were enrolled in this study. The data was collected from the out patients and the physician. A data collection form was used for collecting patient data. The form was used to record the details of patient’s demographics, history of diabetes mellitus, duration of diabetes mellitus co morbidities, food habits and laboratory parameters such as serum creatinine, HbA1c and all the relevant things. The study has obtained ethical clearance from the institution ethics committee (IEC). Results : The study showed middle aged patients were more prone to diabetes and pre-existing hypertension is a major risk factor for diabetic nephropathy. Majority of the patients had long duration of diabetes mellitus which indicates the strong relation between duration of diabetes mellitus with diabetic nephropathy. Compared to ACE inhibitors, ARBs decreased the level of renal parameters. This reveals the better reno-protective effect of ARBs over ACE inhibitors. ARBs had more beneficial effects in reducing the major risk factor like proteinuria in diabetic nephropathy. A considerable reduction in HbA1c values were also observed in patients using ARBs. Conclusion : While comparing the improvement in proteinuria and the laboratory outcomes, ARBs were beneficial relatively to the ACEs in patients with diabetic nephropathy.
The Influence of Institutional Ownership on Growth Opportunities and Dividend Policies. J. Educ. Manage. Stud., 3(4):465-471.;

The present essay has studied on the relationship among students’ educational creativity and their educational self-actualization. To select sample group, multistage randomized cluster sampling method was adapted to choose 382 participants. In this investigation, measurement tools were creativity questionnaire made by Abedi including dimensions of fluidity, elaboration, originality, and flexibility, and also educational selfactualization standardized questionnaire that comprised of sixteen questions. Reliability of measurement tool was calculated by Cronbach Alpha Coefficient where this value was 0.74 for creativity and 0.80 for selfactualization. Validity of both tools was examined by face validity technique. Then, data were analyzed by means of correlation tests and step-wise regression. The results of correlation indicated that there was a positive and significant relationship among variables of fluidity, elaboration, originality, and flexibility with educational selfactualization. Also the results came from stepwise regression showed that educational selfactualization is interpreted by variables of fluidity, elaboration, originality, and flexibility.
AntiIL12/IL23 treatment for a psoriatic patient with heart failure

Introduction: Psoriasis is an inflammatory disorder characterized by a deregulation in the Th1/Th17/Treg cells count and function. A plethora of new drugs called “biologicals” have been developed. Beside TNF­α blockers, new drugs interfering with the IL­23 axis have been introduced. Case Report: We present case of: a 59­year­old high­need psoriatic patient hospitalized for acute heart failure. Physicians decided to withdraw anti­TNF­α therapy because of NYHA class III and the need of cardio­surgery. Surgery was delayed for his general conditions. The patient was referred to our department to establish a new therapy. A treatment with anti­IL­12/IL­23p40 was introduced. Ustekinumab was chosen for the high efficacy rates, the high safety profile and for the reported safety in NYHA class III/IV patients. The rapid general condition improvement enabled the patient to undergo surgery. Conclusion: Anti­TNF­α drugs are contraindicated in NYHA class III/IV patients. In those cases drugs interfering with different cytokine patterns could be of interest. Although anti­IL­12/IL­23p40 has been previously addressed as unsafe in NYHA class III/IV, the clinical practice suggests that this drug can be considered quite safe. Currently the role of anti­ IL­12/IL­23p40 on cardiovascular diseases is still an open question and deserves further investigations. Treatment with anti­IL­12/IL­ 23p40 can be considered a good option in NYHA class III/IV patients and in high­ need psoriasis patients.