Miracle-dz/UniFAR-FTUs huggingface dataset:
CLOSED LOOP CONTROLLED FORWARD CONVERTER ANALYSIS USING PI, FUZZY LOGIC AND ANN CONTROLLER

Closed loop controlled model is developed for the determination of time domain specifications, transient response and steady state analysis. Simulation of DC to DC modified forward converter using active clamp-Neutral Point Connected Auxiliary Resonant Snubber (NPC-ARS) circuit, which is implemented by using PI controller, fuzzy logic controller and artificial neural network (ANN) controller, is presented in this paper for the switching mode power supply applications. Its circuit operation in closed loop controlled model and the performance of the modified forward converter is described and the simulation results are presented
IPO Allocations to Affiliated Mutual Funds and Underwriter Proximity : International Evidence

We examine the way investment banks allocate IPOs to their affiliated mutual funds worldwide. We analyze IPO allocations to affiliates globally and find significant cross-country differences in the first-day returns of these IPOs. IPOs allocated to mutual funds affiliated with the underwriter have significantly lower first-day returns in Europe, and significantly higher first-day returns in Asia-Pacific, but only if the underwriter for an IPO is not from the same geographic region as the issuer. Overall, the evidence suggests the presence of an economically significant conflict of interest within financial conglomerates for which prior literature has not found robust empirical support.
Towards Better Character-based Word Vectors

● Learn word vectors in larger wikipedia dataset (22 G). ● Run more evals for Byte Pair Search method. BPS Example: Input: low 5, lower 2, newest 6, widest 3 Both (s, t) and (e, s) pair has subword pair frequency 9, but in the every iteration of BPE, BPE will only merge one pair. Merge order might influence subwords vocabulary and final word segmentation results. To address this issue, BPS will go through all the possibilities and returning more relevant subwords.
USER SATISFACTION OVER QUERY RESULT RANKING IN WEB DATABASE SYSTEMS

To handle with the complication of enormous results returned from an online Web database in reply to a user asked query, in this paper we come up with a unique approach to rank the query results. Depend on the user query, we hypothesize how much the user bother about each and every attribute and assign a comparable weight to that. Then, all tuple in the query result, each attribute of every tuple is assigned with a score rate according to its “acceptable” to the user. For each tuple all attribute value scores are united as per the attribute weights to get a final ranking score for each tuple. Tuples with the leading ranking scores are presented to the user first as compare to other. This ranking method is independent of any domain and use feedback not required. Experimental results shows that this ranking method effectively satisfies users need with respect to his/her choices.
1 Developing Software for Using Bayesian Regression to Evaluate Heterogeneity of Treatment Effects in Data from Randomized Controlled Trials

3 BACKGROUND . 5 Why Bayes for HTE Analysis? 8 Participation of Stakeholders in the Design and Conduct of Research and Dissemination of Findings . 10 METHODS . 13 Treatment Effect Scale: Notations and Definitions . 16 RESULTS . 18 Model Specification . 18 Diagnostics and Model Criticism . 18 Reporting and Interpreting Results . 18 A Case Study for Aim 2 . 25 DISCUSSION . 29 Study Results in Context . 29 Uptake of Study Results . 29 Study Limitations . 29 Adherence to Methodology Standards . 29 Future Directions . 29 CONCLUSION . 32 REFERENCES . 33 APPENDIX . 35
LIQUEFACTION ASSESSMENT BY THE ENERGY METHOD THROUGH CENTRIFUGE MODELING

The fundamentals of the energy method to assess the liquefaction potential of cohesionless soils have been formulated in recent years. The procedure has been validated through the torsional shear testing of several types of soils. An important step in the process of development of this procedure would be to examine its validity through the prototype-like conditions afforded by the centrifuge. This paper discusses the results of 30 centrifuge liquefaction tests conducted at a scale of 60g’s, on scaled pore fluid-saturated models of soil deposits with different grain size characteristics, to assess their liquefaction potential by the energy method. The influence of parameters such as relative density, effective confining pressure and grain size distribution on the energy per unit volume required for liquefaction is studied. Generalized relationships were obtained by performing regression analyses between the energy per unit volume at the onset of liquefaction and these liquefaction affecting parameters. These relationships are statistically compared with equations previously developed at CWRU by Liang (1995), Kusky (1996) and Rokoff (1999). All test results, comparisons and numerical simulations using the energy approach agree very well in predicting whether or not liquefaction will occur, and if it does, where it will happen within the deposit.
An Analysis of Unwanted Messages Filtering Methods from OSN User Walls

One major problem in today’s Online Social Networks (OSNs) is to give users skill to regulate the messages posted on their own personal space to avoid that unauthorized data is displayed. OSNs give small support to these needs. In this thesis, i propose a system permit OSN users to have a straight control on the messages posted on their walls. it is achieved through a flexible rule-based system, that permit users to customize the filtering criteria to be put to their walls, and a Machine Learning-based soft classifier automatically labelling messages in endure of contentbased filtering. first conduct a set of large-scale measurements with a collection of accounts observe the difference among human, bot, and cyborg in terms of tweeting behavior, tweet content, and account properties. Our experimental evaluation demonstrates the efficacy of the proposed classification system and also we use pattern matching and text classification algorithm for accurate results. In computer science, pattern matching is the act of checking a perceived sequence of tokens for the presence of the constituents of some pattern. The patterns generally have the form of either sequences or tree structures. Uses of pattern matching include outputting the locations of a pattern within a token sequence, to output some component of the matched pattern, and to substitute the matching pattern with some other token sequence. KEYWRODS: pattern matching, text classification, short text classifier, filtered wall, online social network.
IMPACT OF PERSONALITY TRAITS AND CONTEXT ON EMPLOYEES ’ JOB OUTCOMES

The research focuses to investigate the various unique aspects that may have impact on job outcomes during change implementation in a public sector organization. The study has two prime objectives. First objective is to study the association between employees’ withdrawal behavior and personality traits. Second objective is to find factors of organizational context that may have impact on employees’ job outcomes. Data have obtained from 345 employees of State Life Insurance Corporation (SLIC). These selected employees are working in top business zones. Data collected by using simple random sampling technique and self-administered questionnaire. The result revealed a positive association between employees’ withdrawal behavior and personality traits. Another significant connection has also found in between employees job outcomes and organizational contextual factors. The paper contributes in existing literature of organizational change implementation, personality traits, employees’ job outcomes, and organizational contextual factors in the perspective of a developing country.
long-term impact of folic acid in pregnancy on offspring DNA methylation: follow-up of the Aberdeen folic acid

Background: It has been proposed that maternal folic-acid supplement use may alter the DNA-methylation patterns of the offspring during the in-utero period, which could inﬂuence development and later-life health outcomes. Evidence from human studies suggests a role for prenatal folate levels in inﬂuencing DNA methylation in early life, but this has not been extended to consider persistent effects into adulthood. Methods: To better elucidate the long-term impact of maternal folic acid in pregnancy on DNA methylation in offspring, we carried out an epigenome-wide association study (EWAS) nested within the Aberdeen Folic Acid Supplementation Trial (AFAST—a trial of two different doses: 0.2 and 5 mg, folic acid vs placebo). Offspring of the AFAST participants were recruited at a mean age that were differentially methylated in response to the intervention (Sidak p-value < 0.05), including HLA-DPB2 , HLA-DPB1 , PAX8 and VTRNA2–1 . Whereas cg09112514 did not replicate in an independent EWAS of maternal plasma folate, there was suggested replication of differential methylation in PAX8 . Conclusions: The results of this study suggest that maternal folic-acid supplement use is associated with changes in the DNA methylation of the offspring that persist for many years after exposure in utero . These methylation changes are located in genes implicated in embryonic development, immune response and cellular proliferation. Further work to investigate whether these epigenetic changes translate into detectable phenotypic differences is required.
Comparing Attention-based Neural Architectures for Video Captioning

Dataset: MSVD (Microsoft Video Dataset) • 1969 videos – average of 10 seconds • Average of 40 captions each • We used 5 captions per video for training • 1200 training, 100 validation, 669 training split • Captions are usually 5-10 words long – lack of diversity with many similar captions across videos Future Work: • Further experiment with combining P3D features with LSTM features, such as with Transformer • Substitute ResNet-152 with Faster-RCNN for feature extra • Compare with other datasets – image features seem to be sufficient for the MSVD dataset, but what about others? • Incorporate additional features, such as optical flow, as done in other works • Look into ways to address bias towards more frequent words Of the 5 models we experimented with, Transformers with ResNet features performed best, followed by combined P3D/ResNet features with an LSTM. 2. P3D Encoder + LSTM Decoder
Visualizing Music Genres using a Topic Model

Music Genres serve as an important meta-data in the field of music information retrieval and have been widely used for music classification and analysis tasks. Visualizing these music genres can thus be helpful for music exploration, archival and recommendation. Probabilistic topic models have been very successful in modelling text documents. In this work, we visualize music genres using a probabilistic topic model. Unlike text documents, audio is continuous and needs to be sliced into smaller segments. We use simple MFCC features of these segments as musical words. We apply the topic model on the corpus and subsequently use the genre annotations of the data to interpret and visualize the latent space.
Social Interaction as Constituent for Youth Volunteerism

The growing demand for social services has resulted in the increasing demand for volunteers. The lack of an adequate number of volunteers has left many agencies and organizations with the inability to provide services that clients need or desire. This paper aims to explore the issue of volunteerism among youths in terms of social interaction as the constituent. This fundamental study is using cross-sectional survey involving 240 youth volunteers in Petaling Jaya, Selangor and the data collected by using questionnaires. The statistical result (r= .499, p<. 01) shows that social interaction has a significant positive relationship toward volunteerism among youth. Mediation analysis also provides there is a mediation effect of intention on social interaction as Theory of Reasoned Action being adapted and adopted in the framework. Social interaction does reflect the volunteering behavior among youth.
Exercise prescription for the heart

It is universally known the link between physical inactivity and coronary heart disease. It is estimated that over 30% of coronary heart disease worldwide is due to physical inactivity. This evidence draws attention to the importance of exercise in primary prevention of heart disease and in secondary prevention measures, such as cardiac rehabilitation. International guidelines started to include exercise training beside pharmacological therapies, developing a specific type of training modality tailored for each subpopulation of cardiovascular patients and their risk factors. Many different types of exercise protocols, arranged for intensity, method, type, application, control and setting, exist and cardiopulmonary exercise test represents the gold standard for the assessment of functional evaluation in exercise prescription. In clinical practice, it is not always feasible to group patients into a specific category, due to the variety of their co-morbidities and risk factors: in secondary prevention, exercise intensity must yet be safe but also tailored to achieve the outcome goal of rehabilitation. The purpose of this report is to introduce the innovation of recent notions published in the scientific literature, trying to insert them into clinical practice giving a simple, but yet effective, instrument to the health care professionals.
How Body Movements Attract the Eye : An Eye-Tracking Study for Performance

Nowadays, attractive somatic practices plays an important role to enhance public’s reactions and understanding for performance art, and thus learning to assess body movements understanding is regularly part of psychology, behavioral neuroscience and eye-tracking evaluation. To this end, a set of two different somatic practices namely: common folk dance and uncommon mutilation dance were examined. In this investigation, 10 subjects’ eyes were tracked to the Alexander Paulikevitch’s body movements in a choreographic Belly performance Tajwal video. This allowing us to take attention amount and duration measures of where they attracted more and which region of body motion they were drawn. These measures could then be explored to see which style of dance that could draw significant visual changes for performance design. It seems that the mode of designating somatic performance (folk or mutilation) is crucial to attract subject’s eyes towards the torso-and head-directed gaze efficiency.
A Fault Diagnosis Expert System Structure with Knowledge Retrieving Capability from Waveforms

Analogue fault diagnosis can be addressed by expert systems using artificial intelligence methodologies. The structure of such an expert system and its main features are presented in this paper. As a special feature, knowledge which is obtained through the waveforms of specific parameters of the circuit under test is presented. Techniques for comparison between waveforms and conclusion extraction are described. Demonstrative examples of fault location using the expert system are given. Index Terms analogue circuits, expert systems, analogue fault diagnosis
BASIC ARCHITECTURE OF THE „ SEMANTICALLY ENRICHED E-WORKING PLATFORM “

The term crowdsourcing denotes the outsourcing of tasks for division of labour to a large number of individuals who offer their skills, capacities and intelligence via the internet. Currently these are mostly intrinsically motivated amateurs, who often complete diverse jobs with no or low remuneration. The main intention of the project Semantically Enriched E-Working Platform (SEEWOP) is to make crowdsourcing to an attractive offer for enterprises as e-working method for special fields of activity in addition to conventional working methods. For this purpose Web 2.0 will be combined with Semantic Web technologies, enabling the annotation of tasks and their specifications, e-workers and their qualifications as well as results and their quality in machine processable form. Therefore, adequate vocabularies and ontologies have to be designed to enable automatic and intelligent division of tasks within the eworker community. Additionally, a semantic description of processes and rules for routine jobs will be developed.
University of Dundee Development of Medication-Related Counselling Skills in Senior Medical Students

Background: Effective communication between healthcare providers and patients has been established as a vital element in medication compliance and patient safety. Medical curricula worldwide include medication-related counselling skill as a learning outcome for medical graduates. However, this aspect of health-care training is frequently informal and poorly structured in most medical schools. This paper provides an interesting view of students’ experiences of using a checklist-based approach to develop and practice patient counselling in relation to prescribed medications. Methods: The authors describe introduction of a thirteen item “Patient Education Checklist” (PEC) as part of an optional checklist based exercise (CBE) in year 4 and 5 clinical blocks. Students consulted PEC to discuss relevant practical issues related to medication intake with their patients. Students were expected to submit reflective case summaries regarding their experience of using PEC to counsel patients over a two-week period. The textual data from student submissions was analysed using inductive content analysis. Results: We received 13 year4 and 17 year5 student submissions. A content analysis of student reflections identified four dominant themes 1.Enhancement in self-confidence in relation to patient education (86.7%), 2. PEC perceived useful for patient counselling (83.3%), 3. Recognising variation in health literacy levels of patients (50%), 4.Fear of overloading the patient with information (23.3%). Students realised the need to present the medication related knowledge in simple language and tailor the amount of information as per patients’ understanding. Student reflections included interesting observations about the wide variation in health literacy of patients and insights into patients’ concerns and frequent misconceptions about medicines. Conclusion: Students perceived PEC as a useful tool in adding focus and structure to student patient interactions. They report that it substantially improved their confidence and added quality to patient encounters. Future research is required to assess the effect of CBE on medication compliance and therapeutic outcome. PEC might serve as a useful resource for pharmacy and nursing students.
SpecTran : Neural Network Machine Translator of Javadoc Tags to Java Specifications

Program specifications define intended program behavior and can range in formality and completeness from natural language comments tomathematical formulations. They are important forwriting high quality, maintainable code but are difficult to write and hence often not written together with the program. Many tools that help programmers write specifications exist for specific programming languages; however, the tools often require substantial human effort to create and are language-specific. With recent advances in neural machine translation systems in the natural language processing community, we investigate whether such systems can be easily adapted to this domain of assisting programmers with creating program specifications. We test our system, which we call SpecTran, on the Javadoc informal specification scheme that is shipped with the Java programming language. Our system performs well with in-domain data, achieving up to 86.8% accuracy, but it is not robust enough to perform comparably with out-of-domain data. We provide suggestions for improving the system further and hope our work will motivate others to continue this line of research.
Aggression Monitoring In Speech Using Semantics and Pitch

The development of Technology in digital era speaks to a modern accomplishment in transformative history of IT segments. Emotions and stress assume a vital part in the improvement of undesirable conduct. Stress happens amid the any movement or execution like while correspondence, play undertaking, dramatization, organize action or while in examination like oral or composed is called as Laboratory stress. Detecting negative emotions and stress at an early stage can prevent aggression. Due to increased difficulty in automation, predefined datasets were used for recognition in the earlier approaches. In this paper, we proposed an acoustic Model based for monitoring human stress using ARM 11 processor. Low level and high level stress points are detected by means of total harmonic distortion level. Acoustic features capture normal communication speech of human. The real time voice input is recorded and based on the pitch and intensity level of the speech, the state of the human is monitored.
Impact of different water regimes based on class-A pan on growth , yield and oil content of Coriandrum sativum L . plant

Coriander; Irrigation; Evapotranspiration; Yield; Volatile oil Abstract This experiment was carried out to study the effect of five irrigation levels on growth, yield and chemical composition of coriander plants. The amount of irrigation water was equal to 40%, 60%, 80%, 100% and 120% of the potential evapotranspiration (ETP) values based on class-A pan. The irrigation water was applied by drip irrigation system. The results of this experiment showed that the vegetative growth parameters were improved as a result of applying higher irrigation levels compared to lower levels. Irrigation water use efficiency (IWUE) was increased by reducing the irrigation levels. Increasing the irrigation level from 40% to 120% increased the volatile oil percentage as well as fruit and volatile oil yields/hill and per fed. The results of GC analysis of volatile oil showed that the main components of volatile oil were linalool, ß-cymene, limonene, nerol, borneol and geraniol. However, the irrigation treatments did not affect oil composition. The chemical analysis of the coriander herb indicated that increasing the irrigation rate from 40% to 120% of ETP gradually decreased nitrogen, phosphorus and carbohydrate percentages in the dried herb of coriander plants. However, there was no clear trend for potassium percentage. a 2013 Production and hosting by Elsevier B.V. on behalf of King Saud University.
Capillary Pressure and Wettability Behavior of the Coal-Water-Carbon Dioxide System at High Pressures

Enhanced Coal Bed Methane (ECBM) combines enhanced recovery of CH4 from coal seams with simultaneous storage of CO2. The efficiency of ECBM depends on the transfer rate between cleats and coal matrix. Diffusive transport of CO2 in the small cleats is enhanced when the coal is CO2-wet. Some coals only become CO2-wet at higher pressures. Indeed for water-wet conditions the small fracture system is filled with water and the rate of CO2 adsorption and CH4 desorption is affected by slow diffusion of CO2. This paper investigates the wetting behavior of coal, using capillary pressure measurements at in situ conditions. To facilitate the interpretation of these measurements we also obtain capillary pressure curves for an unconsolidated sand sample. We measure both the drainage and imbibition capillary pressure in the coal-water-CO2 system. For medium and high rank coal the primary drainage capillary pressure curves show a water-wet behavior. Secondary imbibition experiments show that the medium rank coal becomes more CO2-wet as the CO2 pressure increases. High rank coal is CO2-wet during primary imbibition. The imbibition behavior is in agreement with contact angle measurements. Hence we conclude that imbibition tests provide the most practically relevant data to evaluate the wetting properties of coal.