Miracle-dz/UniFAR-FTUs huggingface dataset:
A SINGLE STAGE THREE PHASE INVERTER BASED ON CUK CONVERTER

In this paper the three phase voltage source inverter based cuk converter with PID controller is proposed. In the proposed topology the passive elements such as inductors and capacitors are reduced in order to improve the accuracy and reduce the cost which in turn makes the system compact. The cuk converter is operated in buck and boost mode of operation which makes it feasible for standalone and grid connected applications. In the proposed topology more reliable non electrolytic capacitors are used for the filtering purpose which makes it suitable for PV applications.
Clinical outcome of pain management in paravertebral block and continuous intercostal nerve block for post-thoracotomy pain

Introduction: Thoracic epidural analgesia has greatly improved the pain experience and its consequences and has been considered the ‘gold standard’ for pain management after thoracotomy. This view has recently been challenged by the use of paravertebral nerve blocks. Nevertheless, severe ipsilateral shoulder pain and the prevention of post-thoracotomy pain syndrome remain the most important challenges for post-thoracotomy pain management. Aim of the study: To compare paravertebral block and continuous intercostal nerve block after thoracotomy. Materials and methods: Fifty adult patients undergoing elective posterolateral thoracotomy were randomized to receive either a continuous intercostal nerve blockade or a paravertebral block. Opioid consumption and postoperative pain were assessed for 48 hours. Pulmonary function was assessed by forced expiratory volume in 1 s (FEV1) recorded at 4 hours intervals. Results: With respect to the objective visual assessment (vas), both techniques were effective for post-thoracotomy pain. The average vas score at rest was 29±10 mm for paravertebral block and 31.5±11 mm for continuous intercostal nerve block. The average vas score on coughing was 36±14mm for the first one and 4 ±14 mm for the second group. Conclusion: Thoracic epidural analgesia or nerve blocks are so far considered as the best option but one needs to consider personnel and equipment resources available. A combination of local anesthetics along with opioids can be given to reduce the agony of the patient and early discharge from the hospital. Pon. A. Rajarajan. Clinical outcome of pain management in paravertebral block and continuous intercostal nerve block for post-thoracotomy pain. IAIM, 2019; 6(3): 99-104.
Price Revelation and Knowing the Forecasts of Others

Accommodating asymmetric information in a dynamic asset pricing model is technically challenging due to the problems associated with higher-order expectations. That is, rational investors are forced into a situation where they must forecast the forecasts of other agents (i.e., form higher-order expectations). In a dynamic setting, this problem telescopes into the infinite future and the relevant state space approaches infinity. By employing the frequency domain approach of Whiteman (1983) and Kasa (2000), this paper demonstrates how information structures previously believed to lead to disparate expectations in equilibrium (e.g., Singleton (1987)) converge to a symmetric equilibrium. The “revealing” aspect of the price process lies in the invertibility of the observed state space. Given this invertible nature, agents are able to infer the economically fundamental shocks, thus eliminating the need to forecast the forecasts of others.
Reeingineering legacy applications using design patterns

This paper presents a new approach to the use of design patterns for the reengineering of legacy code, using a mapping from procedural design patterns to object-oriented patterns. We show also how object-oriented design patterns can be formalised and correctness conditions for their application derived, in order to justify the preservation of functionality in the reengineering process. We conclude with a case study of reengineering of a legacy COBOL application.
Explainable Machine Learning for Fake News Detection

Recently, there have been many research efforts aiming to understand fake news phenomena and to identify typical patterns and features of fake news. Yet, the real discriminating power of these features is still unknown: some are more general, but others perform well only with specific data. In this work, we conduct a highly exploratory investigation that produced hundreds of thousands of models from a large and diverse set of features. These models are unbiased in the sense that their features are randomly chosen from the pool of available features. While the vast majority of models are ineffective, we were able to produce a number of models that yield highly accurate decisions, thus effectively separating fake news from actual stories. Specifically, we focused our analysis on models that rank a randomly chosen fake news story higher than a randomly chosen fact with more than 0.85 probability. For these models we found a strong link between features and model predictions, showing that some features are clearly tailored for detecting certain types of fake news, thus evidencing that different combinations of features cover a specific region of the fake news space. Finally, we present an explanation of factors contributing to model decisions, thus promoting civic reasoning by complementing our ability to evaluate digital content and reach warranted conclusions.
Examining Student Classroom Engagement in Flipped and Non-Flipped Counselor Education Courses

Flipped learning is an innovative teaching approach in which students view pre-recorded video lectures outside of class, then engage in activities applying course concepts during class. By removing lecture from face-to-face class time, instructors free up time in class for students to explore and apply course content. Flipped learning is a particularly useful approach in counselor education, given the need for both content and practice in the discipline. In this study, we examined student classroom engagement in flipped and non-flipped counseling courses. Using a causal comparative method, we compared student engagement via the Classroom Engagement Inventory in four counseling theories course sections. Students in the flipped counseling courses (n = 30) reported statistically higher classroom engagement than students in the non-flipped courses (n = 37). These results lend additional support to the promotion of flipped learning in counselor education.
A Collision Mitigation Method on Spatial Reuse for WLAN in a Dense Residential Environment

Recently, due to the popularity of wireless communication services, more and more access points (APs) are being extensively deployed to service an ever-increasing number of mobile stations (STAs). In such dense scenarios, unsystematic co-channel deployment may lead to poor network performance. The latest wireless local area network (WLAN) IEEE 802.11ax standard intends to improve spatial reuse to enhance the overall throughput in dense scenarios and thus accommodate increased mobile traffic. However, aggressively enhancing spatial reuse may increase the collision probability rather than improve throughput. In this study, we propose a novel dynamic sensitivity control (DSC) algorithm to improve spatial reuse while mitigating collisions caused by multi-transmission. The achieved trade-off between spatial reuse and collisions yields a throughput gain of 11% using DSC. Keywords—Collision mitigation, dynamic sensitivity control, IEEE802.11ax, spatial reuse.
End-User Modelling

Albert Patrick (IBM, Paris), Blay-Fornarino Mireille (I3S, Sophia-Antipolis), Collet Philippe (I3S, SophiaAntipolis), Combemale Benoit (IRISA, Rennes), Dupuy-Chessa Sophie (LIG, Grenoble), Front Agnès (LIG, Grenoble), Grost Anthony (ATOS, Lille), Lahire Philippe (I3S, Sophia-Antipolis), Le Pallec Xavier (LIFL, Lille), Ledrich Lionel (ALTEN Nord, Lille), Nodenot Thierry (LIUPPA, Pau) et Pinna-Dery Anne-Marie (I3S, Sophia-Antipolis) et Rusinek Stéphane (Psitec, Lille)
Development of an Anomaly Prediction System for Multivariate Time-Series from Sensor Data

A long short-term memory recurrent neural network (LSTM-RNN) is applied for an anomaly detection in multivariate time-series from sensor data. This paper extends its ability to an anomaly prediction by means of a fuzzy logic technique for data modification. The experimental results give us satisfaction in a low root-mean-squared error (RMSE) and the anomaly events are predicted. Index Terms – LSTM-RNN, Anomaly prediction, Time-series data, Sensor data, Multivariate time-series data
Factors influencing the educational and occupational choices of women

Jennifer Bertino Factors Influencing the Educational and Occupational Choices of Women 2004 Dr. John Klanderman Master of Arts in School Psychology The purpose of this study is to examine self-efficacy in mathematics and various motivating factors among female college students whom choose college majors in traditionally female-dominated fields as compared to those who chose college majors in traditionally male-dominated fields. The Mathematics Self-Efficacy Scale and an adapted version of the College Survey were administered to forty-six female college students. Differences between groups in the outcomes of the surveys were measured using a one-way anova for the MSES and a chi-square and gamma test for individual items from the College Survey. The findings were that the MSES indicated differences between the groups in the manner expected, but the differences did not prove to be statistically significant. There were statistically significant differences between the groups on different items from the adapted College Survey that indicated differences in motivational factors contributing choice of college major.
Data Mining-an Evolutionary Arena

This study presents a survey of information retrieval and its various methodologies. In today's escalating world, tracking of information should be done with ease. Keeping that as a constraint, most of the qualms can be deciphered with the aid of Machine Learning (ML). ML can be envisioned as a tool, which identifies and disseminates all information through computerized systems, which can be integrated in the respective domains, in order to get a better and more proficient retrieval of content. This study summarizes the well-known methods used in feature extraction and for classification of text. ML can be portrayed as a major tracker for surveillance, with the aid of some trained ML algorithms. In order to strengthen the response policies for any queries, which is being surrounded with two main issues like policy matching and policy administration, can be prevailed over Joint Threshold Administration Model, JTAM (i.e., Principle of separation of duty). This study gives an overall review about tracking of information with respective to semantic as well as syntactic perspective. It revolves around some of the application as well as administrative mechanism involved in Information Retrieval for mining the data. Data mining techniques in various arenas has been explored; this survey explores the various techniques and evolution of mining in detail.
The assessment of empathic understanding and control of emotions in parents of children with autism

__________________________________________________________________________________________ Introduction: Problems of families with autism are generally not visible or manifested, but without support, they become economically and educationally inefficient. Purpose: To assess the degree of empathic understanding of the child and the degree of emotional control by parents. Materials and methods: The study included 30 families from Poland, 25 from Belarus and 28 from France. We used Empathy Understanding Others questionnaire (KRE) and The Courtauld Emotional Control Scale (CECS). Results: The most common difficulty reported in the care of a child was gaining his/her independence (66.7% in Poland, 84% in Belarus, 78.6% in France). Parents from Poland more often (26.7%) than others (12% in Belarus, 3.6% in France) pointed out that the disability of a child caused that their friends turned their back to them. 40% of parents from Poland, 60% from Belarus and 57.1% from France claimed that the spouses accept the disability of the child. The disability induced in parents mainly fatigue (76.7% from Poland, 44% from Belarus, 71.4% from France). The level of empathy in Polish (64.2 ± 6.2) and French parents (64.8 ± 11.6) was almost identical, and the highest was among Belarusian parents (70.3 ± 8.3). Overall rate of CECS of the surveyed parents was at the average level (from Poland 47.4 ± 4.9; from Belarus 44.8 ± 6.1, from France 48.1 ± 6.0). Conclusions: Nurses evaluated their own preparation for educational activities usually very low. In the majority they would not want to take up the difficult role of educators of parents of autistic children. Due to a potential contact of a nurse with a child with autism and the child’s family, it is advisable to extend the knowledge of nurses in the care of a child with autism.
A Pattern Language as an Instrument in Designing for Productive Learning Conversations

There is a rapidly growing interest in using design patterns and pattern languages for instructional design. The patterns-based approach was pioneered by Christopher Alexander in the domain of architecture, and was described by him in such a way that it has become a point of reference in other domains where design questions are studied. This paper describes, in the context of Alexander’s intentions for the development of his methodology, how it may be used in the dissemination of results of design research on tools for computer supported collaborative learning. In particular, we focus on how it may help with the difficult problem of facilitating mutually-intelligible discussions about learning, within multi-disciplinary design and development teams. This focus is especially appropriate in our case, becaus ethe kinds of learning we aim to support are themselves dependent on students’ engagement in productive learning conversations. The proper answer to the question “How is a farmer able to make a new barn? ” lies in the fact that every barn is made of patterns. (Alexander, 1977, p. 178)
Carcass characteristics , physicochemical changes and oxidative stress indicators of meat from sheep fed diets with coffee pulp

The purpose of this study was to determine how feeding sheep coffee pulp affects carcass characteristics and what changes occur in physicochemical, antioxidant capacity and oxidation of the meat during refrigerated storage. The experiment was carried out in 15 Blackbelly lambs weighing an average 22.86±0.76kg. The animals were assigned to three treatments: T0=control diet, T1=diet with 8% coffee pulp, and T2=diet with 16% coffee pulp. After fattening for 56 days, the sheep were slaughtered and the carcasses assessed. The inclusion of 16% coffee pulp in the diet increased carcass dressing from 48.19 to 50.83% and decreased the amount of fat in rumen and intestines from 3.43 to 2.53% (P<0.05). The inclusion of coffee pulp in the diet did not alter the amount of crude protein or fat in meat or its oxidation and antioxidant capacity during refrigerated storage. However, the inclusion of coffee pulp in the diet decreased fat in the rumen and intestines, and thus increased the amount of usable meat.
Sum Rate of Multiuser Large-Scale MIMO in the Presence of Antenna Correlation and Mutual Coupling

A multiuser large-scale MIMO system with antenna correlation and mutual coupling is investigated in this paper. Based on the maximum signal-to-interference-plus-noise ratio (SINR) criteria, the optimal beamforming (BF) vector at the base station (BS) for each user is first obtained using statistical channel state information (CSI). Then, a closed-form expression for the achievable sum rate is derived in terms of a finite number of generalized Meijer-G functions, which is applicable to an arbitrary number of array elements and/or users, and provides an efficient means of evaluating the system performance. Finally, numerical results are provided to confirm the validity of the theoretical analysis and show the impact of various channel parameters on the system performance.
Distributed Algorithms for Improving BitTorrent Performance

Among the peer-to-peer systems, BitTorrent has attracted significant attention in research community because of its efficiency, scalability and robustness. BitTorrent utilizes peer contribution to distribute content by splitting the content into many pieces which can be transferred among peers. Unfortunately BitTorrent depends on trackers in order to let peers interested in same content discover each other. Trackers can be considered as a single point of failure and a bottleneck in terms of system scalability. The scalability and availability of the tracker can be improved by introducing multiple trackers, an extension that allows the co-existence of multiple swarms sharing the same content. Existence of multiple swarms that are not aware of each other may cause efficiency to degrade due to piece and bandwidth unavailability in small swarms. Swarm management algorithms therefore aim to increase the swarm sizes virtually at a low cost, consequently increasing piece availability and peer contribution for performance improvement. In this thesis we developed a framework for measuring the performance of swarm management algorithms in an experimental testbed. The testbed offers the opportunity to perform controlled experiments in different scenarios. An improved PEX protocol was also developed that takes swarm membership information of peers into account to utilize mixing among swarms. We modified an existing BitTorrent client to implement two swarm management algorithms, Random Peer Migration (RPM) and Random Multi Tracking (RMT) that introduce peers in different swarms to each other by leveraging the Peer Exchange (PEX) protocol. RPM achieves mixing through peers migrating between swarms. RMT allows some fraction of peers to associate with more than one tracker and mix peer information between swarms. We evaluated the performance of the two swarm management algorithms in torrents in which all swarms are in the steady state and have a publisher always available. The algorithms are estimated to improve the protocol performance around 5% in most scenarios whereas gain around 40% can be observed for small torrents. The algorithms are shown to improve BitTorrent performance without sacrificing the robustness and load balancing properties of the multi-tracker extension.
Under pressure: The influence of time limits on human exploration

How does time pressure influence attitudes towards uncertainty? When time is limited, do people engage in different exploration strategies? We study human exploration in a range of four-armed bandit tasks with different reward distributions and manipulate the available time for each decision (limited vs. unlimited). Through multiple behavioral and model-based analyses, we show that reactions towards uncertainty are influenced by time pressure. Specifically, participants seek out uncertain options when time is unlimited, but avoid uncertainty under time pressure. Moreover, larger relative differences in uncertainty between options slowed down reaction times and dampened the drift rate of a linear ballistic accumulator model. These results shed new light on the differential effect of uncertainty and time pressure on human exploration.
uilding friendship through a cross-cultural mentoring rogram

This paper examines the efficacy of a short-term mentoring program in building cross-cultural friendships between students at an Australian university. Using a quasiexperimental approach, our study found that the mentoring program (Local Aussie Mentoring Program—LAMP) increased cross-cultural interactions for mentees, but not for mentors. About 45% of both mentors and mentees wished to continue their relationship with mentoring partners after the completion of the mentoring requirements. Mentees spent significantly more time with cross-ethnic friends than did controls after the completion of LAMP. We examined whether multicultural aspects of personality, as measured by the Multicultural Personality Questionnaire (MPQ), would positively correlate with crosscultural mentoring effectiveness and cross-cultural friendship interactions (the dependent variables). Multicultural personality aspects of mentors (as measured by the MPQ) had significant positive relationships with both mentee and mentor-rated mentoring measures. All mentor MPQ scales showed some significant but small and positive relationships, with mentor friendship items, particularly Open-mindedness, Cultural Empathy and Emotional Stability. We found a significant, positive relationship between mentee Cultural Empathy and Social Initiative with cross-cultural friendship. These results show some partial support for a positive relationship between MPQ scales and cross-ethnic friendships. © 2013 Elsevier Ltd. All rights reserved.
Screening of Damage Regions in Retinopathy Using Segmentation-Color Space Selection

Screening is essential for extraction of object Candidate in Diabetic Retinopathy (DR). Purpose is to detect aberrant from color fundus images. Pixels with number of lesions can be illuminated by region Segmentation Using color space selection. In the proposed method simple color detection in LAB color space has done. Four color models, like RGB, Luv, Lab and HVC, are calculated which uses the object-based color difference image. The objectbased color difference images of bright and dark objects are detected respectively. This helps in objects detection in Diabetic retinopathy like exudates hemorrhages and blood vessel. Thus by computing the color difference we can easily classify objects. Such a screening systems may reduce efforts of ophthalmologist. In this paper our goal is to analyze and evaluate the various color spaces in color image enhancement applications. Conversion accuracy and similarity measure are the two objective parameters to measure the performance of each color space [1].
Quantification of Damage Sensitivity by Electromechanical Impedance Signatures

This paper describes the two cases: (I) Electromechanical impedance (EMI) method applied to quantification of circular and square cavity in structural health monitoring (SHM) of thin square plates and (II) Root mean square deviation (RMSD), mean absolute percentage deviation (MAPD) suitability in describing the damage severity. In the first case, the study investigates the numerical analysis of the sensitivity of EMI responses to the inner cavity of different shape mainly circular and square on the aluminium (Al) plate. It is attempting to identify the effect of varying shapes and correlates them with damage index calculated for healthy and damage plate of the structure directly through the EMI signatures of piezoelectric wafer active sensors (PWAS). In the second case, this paper demonstrates the effectiveness of the damage indices while damage severity increasing with position closer to the center of piezo-actuator. This paper used the Savitzky-Golay (SG) filter to enhance the performance of the EMI technique in the damage detection process. We have successfully tried to quantify two damaged Aluminium plate with square and circular hole qualitatively and quantitatively by algebraic relation as well enhance the performance of damage indices through employment of SG filter in damage detection.