Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of Cognitive Behavioral Therapy

The aim of the research is to test the effectiveness of cognitive-behavioral therapy in alleviating the personal factors of the bully, as this main hypothesis was achieved through the sub-hypotheses, which is to alleviate the psychological, emotional, behavioral, and physical factors of the bully. The study used the quasi-experimental approach, and a sample of ( ) third-grade students was selected. The study used a scale of personal factors leading to school bullying. The results of the study showed associated with the main hypothesis and sub-hypotheses. The program proved that there were statistically significant differences between the results of the pre and post measurements for the first hypothesis to reduce the psychological factors of the bully using cognitive-behavioral therapy and the second hypothesis which is to reduce emotional factors, and the third sub-hypothesis which is to reduce the behavioral and physical factors of the bully. Where the study found that there were statistically significant differences at the level of between the mean ranks of the scores in the two measurements before and after the total was equal to ( ), which is a statistically significant value at the level of significance ( ).
Comparative Study of Multicarrier PWM Techniques for a Modular Multilevel Inverter

Abstract— This paper presents the simulation of three phase five-level modular multilevel cascade inverter based on double-star chopper-cell (DSCC). The multicarrier PWM techniques such as Phase disposition PWM (PDPWM), Phase opposition disposition PWM (PODPWM), Alternate phase opposition disposition PWM (APODPWM), and Phase shift PWM (PSPWM) is employed and a comparative study is done based on the spectral quality of the load voltage and load current waveforms. Simulation has been carried out for various modulation indices using MATLAB/Simulink and the results are verified. KeywordModular Multilevel Converter (MMC), Double star chopper cells (DSCC), Multicarrier PWM (MCPWM), Total harmonic distortion (THD).
Design of Low-Voltage, Power Proposed DynamicClocked Comparator

To maximize speed and power efficiency, use of dynamic comparators in high speed analog-to-digital converters.Analysis in this paper, the delay and power consumption of the dynamic comparators will be analyzed and logical expressions are derived. From the logical expressions, designers can obtain comparator delay and power consumption in dynamic comparator design. Based on the present analysis, a new comparator is proposed, where the circuit of a conventional double tail comparator is improved for low-power and fast performance even in minimumsupply voltages. The simulation results of three comparators shows that the proposed dynamic comparator will occupy less active area and also having higher speed and consumes less power. Post-layout simulation results in CMOS technology confirm the analysis results are 0.18-μm. It shown that in the proposed comparator both the power consumption and delay time are significantly reduced, while consuming power Upto 0.2 mW and 0.19 mW, respectively. General Term-Double Tail comparator, dynamic latch comparator, high-resolution analog-to-digital converters (ADCs).
BER PERFORMANCE ANALYSIS OF MIMO-OFDM SYSTEM USINGMMSE EQUALIZER FOR DIFFERENT MODULATION TECHNIQUES

: MIMO-OFDM (multiple input and multiple output orthogonal frequency division multiplexing) system is a new wireless broadband technology which has gained great popularity for its capability of high rate transmission and its robustness against multipath fading. Fading effects are the major effects to be considered at the receiver. Fading effects must be mitigated at the receiver before demodulation by using equalization techniques. Equalizer is used to allow recovery of the transmit symbols,which is the major factor responsible for the Bit Error Rate (BER). In this paper Minimum Mean Square Error equalization technique is presented for reduction in bit error rate for the various modulation techniques i.e BPSK, QPSK, 16-QAM, 64-QAM, 128-QAM and 256-QAM. The performance is evaluated in terms of BER versus SNR.The performance of MIMO-OFDM system is evaluated by using different modulation techniques .
Efficient Preprocessing and Patterns Identification Approach for Text Mining

– Due to the rapid expansion of digital data , knowledge discovery and data mining have attracted significant amount of attention for turning such data into helpful information and knowledge. Text categorization is continuing to become the most researched NLP problems on account of the ever-increasing levels of electronic documents and digital libraries. we present a novel text categorization method that puts together the decision on multiple attributes. Since the most of existing text mining methods adopted term-based approaches, all of these are affected by the difficulties of polysemy and synonymy. Existing pattern discovery technique includes the processes of pattern deploying and pattern evolving, to strengthen the impact of using and updating discovered patterns for looking for relevant and interesting information. But the current association Rules methods exist shortage in two aspects once it is used on patterns classification. a person is the strategy ignored the data about word's frequency in a text . The opposite happens to be the method need pruning rules whenever the mass rules are generated. Within this proposed work specific documents are preprocessed before placing patterns discovery. Preprocessing the document dataset using tokenization, stemming, and probability filtering approaches. Proposed approach gives better decision rules compare to existing approach.
Müller ’ s Manoeuvre , an Autonomic Approach to the Treatment of Bronchoconstriction Relevance in Clinical Trials

Background: Many respiratory clinical trials include sputum induction to evaluate airway inflammation and monitor treatment response. This may cause airway autonomic dysregulation and induces bronchoconstriction necessitating discontinuation of the procedure and administration of β2 adrenergic receptor agonists such as salbutamol. Müller’s manoeuvre is a technique that has been proposed for the diagnosis of sleep apnoea syndrome. The manoeuvre induces an autonomic response consisting of increased sympathetic flow and withdrawal of parasympathetic activity. It is therefore, conceivable that Müller’s manoeuvre may exhibit a bronchodilator effect. Patients and Methods: The potential bronchodilator effect of Müller’s manoeuvre has been assessed in 9 healthy subjects and 11 patients with moderate to severe COPD. All patients had undergone sputum induction procedure. Thereafter, patients were asked to perform Müller’s manoeuvre. Presputum, post -sputum and postmanoeuvre assessment of 3 spirometry parameters, FVC, FEV1 and FEV1/ FVC ratio, has been performed. In healthy subjects, spirometry testing was done at 2 time points, before and after Müller’s manoeuvre. Results: Ten COPD patients out of 11 completed Müller’s manoeuvre. The manoeuvre was poorly tolerated in one subject. In the remaining 10 patients, the manoeuvre led to clinically relevant improvement in the declined spirometry parameters and obviated the need to use pharmacological bronchodilator. In healthy subjects, Müller’s manoeuvre caused increase in FEV1 and FVC however, less pronounced than in COPD patients. Conclusion: Müller’s Manoeuvre showed a potential bronchodilator effect and produced clinically meaningful improvement in post-sputum induction bronchoconstriction. It obviated the requirement to use bronchodilator therapy in all 10 patients. The data in this report suggest that Müller’s Manoeuvre might be used as a first aid measure to treat bronchoconstriction and may serve as a potential alternative to B2 agonists in COPD patients participating in clinical trials. Further investigations to confirm this finding are still warranted. MBChB, M.D., Ph.D., DPM, CPT, MFPM, MBPS Celerion, Clinical Pharmacology Research Centre, Belfast, United Kingdom *Corresponding author Khalid Abou Farha, MBChB, M.D., Ph.D., DPM, CPT, MFPM, MBPS Celerion, Clinical Pharmacology Research Centre, Belfast, United Kingdom, Tel: +44 2890 55-4059; Fax: +44 2890 55-4141; Mob: +44 7980018586; E-mail: Khalid.aboufarha@celerion.com Submitted: 21 Nov 2017; Accepted: 27 Nov 2017; Published: 04 Dec 2017
SEASONAL VARIATIONS OF HEMATOLOGICAL INDICESIN EQUINES INVOLVED IN RECREATIONAL HORSE RIDING

Blood is an important and reliable medium for assessing the health status and performance level of horses. Variations in hematological parameters in horses are associated with several factors such as exercise and training, feeding, age, sex, breed, diurnal and seasonal variation, temperature and the physiological status etc. The objective of this study was to determine the influence of seasonality on hematological indices and osmotic resistance of erythrocytes in horses involved in recreational horseback ride before and after exercise. Thirteen healthy adult horses from Pomeranian regions in Poland (aged 9.5±2.4 years) were used. All horses participated in recreational horseback riding. Blood samples were taken once per season for one year – in spring (April) and summer (July). Blood was drawn from jugular veins of the animals in the morning, 90 minutes after feeding, and immediately after exercise. The blood samples were assessed for haematocrit (HCT) value, haemoglobin concentration (HGB), the red blood cells (RBC) amount, mean corpuscular hemoglobin concentration (MCHC), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), red cell distribution width (RDW), the platelets (PLT) amount, platelets distribution width (PDW) and osmotic resistance of erythrocytes before and after exercise. Our results confirm that hematological parameters in equines involved in recreational horse riding are subjected to seasonal variations. Significant increase of RBC amount and hemoglobin level after exercise both in spring and summer seasons were observed (p < 0.05). In spring, exercise caused enhancement of the hematocrit level, the mean corpuscular volume and the mean corpuscular hemoglobin levels (p < 0.05). At the same time, post-exercise MCH were higher in the spring (p < 0.05) compared to summer season. However, pre-exercise MCHC level in the summer was lower (p < 0.05) compared to the spring season. Higher percent of hemolyzed erythrocytes in spring season probably caused by the liberation of red blood cells from spleen and/or the increase of oxygen consumption. Key words: horses, hematological parameters, seasonal variations, exercises
Analytical Study of Algorithms for Mining Association Rules from Probabilistic Databases and future possibilities

— we consider the problem of discovering frequent item sets and association rules between items in a large database of transactional databases acquired under uncertainty. With each transaction associated is a probability gives the confidence that the transaction will occur. We discuss generalized algorithms for solving this problem that are fundamentally different from the known algorithms. Complete demonstration of algorithm presented and discussed in this paper. We also show how the best features of the algorithm can be combined into a business system.
MAGNETIC RESONANCE CHOLANGIOPANCREATOGRAPHY (MRCP) PANCREATICO

Magnetic resonance cholangiopancreatography (MRCP) is a non-invasive modality used as an alternative to endoscopic retrograde cholangiopancreatography. (Halefoglu Magnetic resonance cholangiopancreatography useful tool for the evaluation of pancreatic and biliary system disorders.(Halefoglu, 2007) Heavily T2 weighted sequences are used, this causes the signal of slow fluid filled structures as biliary and pancreatic ducts to be increased. 2007; Nyree Griffin et al., 2011; Govind et al common indications are choledocholithiasis, chronic pancreatitis, congenital anomalies of the bile and pancreatic ducts.MRCP is also used after administration of secretin. Secretin enhances the secretion of fluid and bicarbonates from exocrine pancreas and increases the tone of the spinchter of oddi. This causes transient increase in diameter of the main pancreatic duct and hence helps in improved visualization. (Yoshihiko Fukukura et al., 2001)Secretin administration helps in detection of side branch abnormalities and exocrine functions of pancreas can be assessed. (Frank other advantage of secretin administration is that false positive stenosis gets ruled out. (Yoshihiko Fukukura et al
Management on Acute Symptoms of Myofascial Pain Syndrome by using Michigan Splint: A case report

Introduction: Myofascial pain syndrome (MPS) is part of temporo-mandibular disorders (TMDs), which involve the masticatory muscles and cervical muscles around neck can also be affected. There are a lot of etiologies of MPS. Therefore, diagnostic procedures are very critical to make a proper treatment in treating TMDs. This paper aims to describe diagnostic and treatment procedures with special attention given to clinical importance of TMDs and the fabrication of Michigan splint. Case Report: A clinical case with a 68-years-old female patient undergo a pain on right cheek area, especially while mouth opening for too long, there will be more pain and stiffness, also ever up to headache. On clinical examinations, there is no clicking, nor crepitus, and no pain on temporo-mandibular joint. However, there is pain by palpating multiple muscles around face and neck and limited jaw opening. Discussion: Etiology factor of MPS on this patient was extrusion of lower right third molar leads to traumatic occlusion. Patient was treated with analgesics, muscle relaxants, fabrication of Michigan splint also occlusal adjustment. Michigan splint is also known as stabilization splint with cuspid rise and increasing the occlusal vertical dimension by the amount thickness of occlusal part of the splint, which is mostly indicated for patient with TMDs of arthrogenic/myogenic origin and nocturnal bruxism. Conclusion: There are several ways which participate in management of TMDs. The occlusal splint may provide behavioral effects about the position, function and parafunction of the mandible as well as placebo effect.
Evaluation of univariate time series models for forecasting of

Coffee is extremely important in the economies of many countries and in the world trade. Indian coffee is known for its quality of seeds specially Robusta coffee. It is being used for the purpose of blending with the coffee of other origins. About 60 to 75 percent of the Indian production goes towards export over 88 countries of the world. Due to restriction from ICA and incessant increase in coffee production has given rise to great fluctuation with respect to export. So producers of Indian coffee were greatly affected and Political, economic disruption has taken place. Hence forecasting of the export of Indian coffee, appears to be a solution to this problem. and nonparametric time series models like in order to make inferences about its future behaviour for Indian coffee export.
Deep Multiconnected Boltzmann Machine for Classification

: People want to operate mechanisms remotely using their own voice. In the epoch of humanoid robots the remote control of high technology products needs reliable classification tools. Classification algorithms are widely used for recognition of speech. There are a lot of machines with embedded voice control modules such as robots, wheelchairs, home systems etc. Comparing various kind of classifiers we assert that Boltzmann machine is a good choice. On the other hand the advantages of deep architectures are undoubted. A new multiconnected deep Boltzmann machine has been created and investigated in the present paper. The adaptive variable learning rate has been introduced for training the Boltzmann machine. An original LR search procedure is used for efficient error reduction. The new training algorithm is described in pseudocode. Comparisons between classification with and without LR search procedure is discussed.
In-vitro studies on the primitive pharmacological activities of Andrographis paniculata and Centella asiatica

Copyright: © 2016 | Author(s), This is an open access article under the terms of the Creative Commons Attribution-Non-Commercial No Derivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is noncommercial and no modifications or adaptations are made. From ancient times, Medicinal plants were used for the treatment of various deadly diseases. Especially Asian countries like India, srilanka, Indonesia etc., were used medicinal plants as a potential curing agent for various diseases and used in their different medicinal system named ayurvedic, siddha etc.,. Andrographis paniculata from Acanthaceae and Centella asiatica from Apiaceae were make a mile stone in the traditional medicine. Both of these plants contain phytochemicals such as flavonoids, flavones, and diterpenoides etc., They have various pharmacological activities whereas in the present study we clearly investigate their antibacterial, antifungal and antioxidant activities in their leaves extracts. Our research reveals that the aqueous extract shows maximum inhibitory effect against the tested bacteria and fungi when compared to others. In addition to that we evidenced that these extracts also have antioxidant activity.
A Survey Paper on Recommender System Approches and Issues

: Nowadays there's an interesting assortment of various methods and estimations of knowledge winnow and proposal. during this paper we tend to portray the suggestion framework connected analysis and at the moment gift totally different ways and methodologies utilized by the recommender framework User-based approach, Item-based approach, Hybrid proposal approaches and connected analysis within the recommender framework. Ultimately we are going to demonstrate the principle difficulties and problems recommender frameworks check.
The impact of pitch values on image quality and radiation dose in an abdominal adult phantom using CT

Poster: "ECR 2017 / C-2755 / The impact of pitch values on image quality and radiation dose in an abdominal adult phantom using CT" by: "L. J. O. Lanca1, P. Barros2, R. D'Agostini Derech2, D. Higgins3, M. A. Kleiker4, S. Liardet5, I. M. Lovlien6, K. McNally7, M. Thevenaz5, P. Hogg3; 1Lisbon/PT, 2Florianopolis/BR, 3Salford/UK, 4Groningen/NL, 5Lausanne/CH, 6Oslo/NO, 7Dublin/IE"
Hierarchical Document Clustering Using Closed Itemsets with Comparision Using Weka Tools

In Today's world huge amount of knowledge is propagated and stored in text databases over the large networks. This leads to increment in the numbers of document files. So we need a vigorous and skillful way to group this large amount of data. Clustering is the finest tool of data mining for regulating and harmonizing information. Clustering outline the similar objects or data into one cluster and different objects into another one based on their measurement of diminishing inter similarity and overestimating intra dissimilarity. However most of the clustering techniques face many issues like high dimensionality, scalability, accuracy, etc. Document clustering is an unsupervised clustering method for organizing documents, and providing fast information retrieval or filtering. This paper will present a review on some document clustering methods and proposal of a new one approach for hierarchical document clustering using closed item-sets.
Time Management Problem in Science Course in Secondary School 5 th - 8 th Grades in Turkey: Units Emphasized Less and the Reasons

This study is carried out to reveal which units teachers who encounter problems about falling behind the science course curriculum in secondary school in the 5 th grade through the 8 th grade prefer to focus on less and the reasons for their preferences. Survey model was used in the research study. Total 302 science teachers from 28 different cities in Turkey participated in the study carried out in 2015-2016 academic year. The research data were gathered via questionnaire form developed by the researcher. The results of the study revealed that nearly two-thirds of the science teachers spent less time teaching the units related to the "Earth and Universe" subject area to catch up on the curriculum in case of holidays, meetings, and exams held apart from the planned schedule. The units including ecology subjects within the subject area of Living Things and Life follow it. When the units are examined considering the grades, "Natural Processes" unit, the last unit of the 8 th grade, ranked first. The reasons why science teachers put less emphasis on these units is the place/order of the units in curriculum, timetable of the centralized exam held in the country and timetable of t he last written exams in schools, distribution of questions in the centralized exam, the number of gains from the unit and content, and the students' pace in understanding the subject.
A Novel Ontology based Framework for Trend Detection from Research Paper Titles

—Classification of research papers based on topics like Data Mining, Software Engineering, and Networks etc. is generally done manually. Nowadays Researchers are particularly interested in knowing trending subtopics and keywords under their area of interest and the relevant research articles published in those areas. In this article, a fast novel approach is proposed to find trending topics and subtopics from large cluster of research paper titles for the past n years. Also, an effective method is presented to retrieve paper titles based on a topic or subtopic from trending topics. Finally a ranking algorithm is suggested based on which the resultant paper titles are ranked before being displayed. In this study, titles of papers for last 3 years from DBLP computer science dataset were extracted and stored in a database. Even though, articles from only last 3 years were considered, this system can be easily scaled to accommodate any size and time period. Experiment studies revealed that the proposed trend detection framework is accurate, efficient and scalable.
A Survey on Scheduling of Parallel Programs in Heterogeneous System

— In this survey paper we can make use of the heterogeneous system by mapping the tasks and schedule them on different processors so that their finish time can be reduced. Total finish time is time which includes individual runtime of programs and their communication cost among programs. The optimal scheduling of parallel programs is considered as NP-complete problem. A major issue in the operation of parallel computing systems is that of scheduling, which is an important problem in other areas such as manufacturing, process control, economics and operation research . Heterogeneity in parallel systems introduces an additional degree of complexity to the scheduling problem. The complexity of the problem increase when task scheduling is to be done in a heterogeneous environment, where the processors in the network may not be identical and take different amounts of time to execute the same task. Quite a few methods have been used to solve this problem. In this paper we are studying about different scheduling techniques which help to reduce time complexity as well as the over all cost of the process and their fruitfulness.
Summarizing Text Using Lexical Chains

: The current technology of automatic text summarization imparts an important role in the information retrieval and text classification, and it provides the best solution to the information overload problem. And the text summarization is a process of reducing the size of a text while protecting its information content. When taking into consideration the size and number of documents which are available on the Internet and from the other sources, the requirement for a highly efficient tool on which produces usable summaries is clear. We present a better algorithm using lexical chain computation. The algorithm one which makes lexical chains a computationally feasible for the user. And using these lexical chains the user will generate a summary, which is much more effective compared to the solutions available and also closer to the human generated summary