Reviewerly/exHarmony huggingface dataset:
Study of modifiable risk factors associated with learning abilities in MBBS students

Introduction: Healthy body is the basis for healthy mind and sound learning.Factors affecting physical health can influence one"s learning abilities.BMI, neck girth, breakfast eating habits, resting blood pressures are surrogates of physical health; when they err different learning skills may go hayward.Materials and Methods: A cross-sectional study was carried out on first year medical students in a medical college in western part of central India.127 complete entries were evaluated by "Metacognitive Awareness Inventory".Obesity was assessed by BMI and Neck Circumference, and resting blood pressure measured by standing mercury sphygmomanometer.Breakfast eating behaviour was assessed by semi structured close-ended questionnaire.The data were coded and analysed by SPSS version 20.The level of significance was assigned at p < 0.05.Results: On Pearson correlation analysis it was observed that metacognitive awareness inventory (r = -0.191,p< 0.05), regulation of cognition power (r = -0.197,p <0.05), and information management strategy (r=-0.347,p<0.01) were negatively co related with BMI.The breakfast eating behaviour also showed negative relationship with knowledge about cognition (r= -0.191, p < 0.05) and comprehension monitoring (r= 0.180, p<0.05), whereas the blood pressure showed negative relationship with information management strategy (r=-0.244,p<0.01).Conclusion: Obesity favouring factors and increased BP correlated strongly with diminished metacognition power, whereas daily breakfast eating had strong relationship with improved knowledge about cognition and comprehension skills.
A Study on Employee Job Satisfaction at Pvt. Ltd, Nanjangud Taluk, Mysore District

This article studies the employee job satisfaction level at Pvt. Ltd, Nanjangud Taluk, Mysore District. The objectives of the study are as follows. To identify the employee's level of satisfaction upon that job. The total population is 180 and for this study, a sample size of 90 members was taken. Out of 90 respondents, 88 questionnaires were returned duly filled in by the employee’s community with overall response rate was 97.78%. The study reveals that the majority of the respondents 50 (56.82%) have opined average (i.e. neither satisfied nor dissatisfied) about the overall satisfaction level.
On Natural Language Generation of Formal Argumentation.

In this paper we provide a first analysis of the research questions that arise when dealing with the problem of communicating pieces of formal argumentation through natural language interfaces. It is a generally held opinion that formal models of argumentation naturally capture human argument, and some preliminary studies have focused on justifying this view. Unfortunately, the results are not only inconclusive, but seem to suggest that explaining formal argumentation to humans is a rather articulated task. Graphical models for expressing argumentation-based reasoning are appealing, but often humans require significant training to use these tools effectively. We claim that natural language interfaces to formal argumentation systems offer a real alternative, and may be the way forward for systems that capture human argument.
THE USE OF ACEHNESE-CHAMIC DERIVED LEXICAL ITEMS USED BY ENGLISH DEPARTMENT STUDENTS OF UIN AR-RANIRY

The purposes of this study were to analyze the use of Acehnese-Chamic derived lexical items used by young speakers. Besides, it also intended to find out whether there is a language change among younger speakers of Acehnese. The data were gathered at the English Education Department of Teacher Training and Education Faculty of UIN Ar-Raniry University. The informants of this study were English Education students of UIN Ar-Raniry with the average age 20 to 21. There were 12 students involved as the informants of this research. This qualitative study used wordlist interview and interview guide as its method of data collection. The data were analyzed descriptively. The study found that many Acehnese-Chamic derived lexical items were not used by the younger speakers of Acehnese. Furthermore, there was language change which occurred among the younger speakers of Acehnese which consisted of phonological loss in the form of initial consonant dropping, initial syllable dropping and monopthongization. Besides, lexical loss in the form of primary loss and secondary loss are also occurred among younger speakers of Acehnese in this study. Moreover, the younger speakers of Acehnese felt that Acehnese and Indonesian used at home, Indonesian is dominantly used in campus, Indonesian is more convenient than Acehnese, Acehnese used for making jokes, and Acehnese used depending on the partner of speaking were the factors which hinder them from using Acehnese-Chamic derived lexical items.
Moral Disengagement pada Player PUBG

ABSTRACTMoral Disengagement is the release of one's morality in the real world and then ventured into online games so as to increase the morality of gamers. The purpose of this study was to determine the form of moral disengagement in PUBG players in the 2014 UMS Communication Study Program students. The data sources used were informants, places or events, and documentation. The sampling technique is purposive sampling. Data collection techniques used were interviews and documentation. The validity test technique used is the triangulation of data sources. The data analysis technique used is an interactive analysis model. The research method used is qualitative with a qualitative descriptive method. Based on the results of this study, it can be concluded that all players do not feel guilty or sad when killing other characters in the PUBG game. Keywords: online games, morality, moral disengagement.
Guarded Teams: The Horizontally Guarded Case

Team semantics admits reasoning about large sets of data, modelled by sets of assignments (called teams), with first-order syntax. This leads to high expressive power and complexity, particularly in the presence of atomic dependency properties for such data sets. It is therefore interesting to explore fragments and variants of logic with team semantics that permit model-theoretic tools and algorithmic methods to control this explosion in expressive power and complexity. We combine here the study of team semantics with the notion of guarded logics, which are well-understood in the case of classical Tarski semantics, and known to strike a good balance between expressive power and algorithmic manageability. In fact there are two strains of guardedness for teams. Horizontal guardedness requires the individual assignments of the team to be guarded in the usual sense of guarded logics. Vertical guardedness, on the other hand, posits an additional (or definable) hypergraph structure on relational structures in order to interpret a constraint on the component-wise variability of assignments within teams.In this paper we investigate the horizontally guarded case. We study horizontally guarded logics for teams and appropriate notions of guarded team bisimulation. In particular, we establish characterisation theorems that relate invariance under guarded team bisimulation with guarded team logics, but also with logics under classical Tarski semantics.
Perancangan Perangkat Lunak Antar Jemput Fresh Laundry

Fresh laundry is a company engaged in the field of laundry services to provide services to its customers in the form of shuttle services. In practice there are obstacles faced by Fresh Laundry, namely fresh laundry has many customers so it takes longer to reply to requests from customers then the customers also have to wait for whatshap replies other than the data that is not neatly arranged is still mixed and piled up is difficult to distinguish which chat orders who asks for laundry items that are delivered and picked up. The design process of this software uses PHP programming language, while the database in this software uses MySQL. System design method uses Rapid Application Development (RAD) which consists of 4 stages, namely, planning phase, design phase, construction phase and implementation phase. Modeling design modeling tools used are UML (Unified Modeling Language) for software testing using black box testing testing methods. The end result is a design of the Fresh Laundry Shuttle Software.
Multi-candidate association online multi-target tracking based on R-FCN framework

Online multi-target tracking is an important prerequisite for real-time video sequence analysis. Because of low reliability in target detection, high tracking loss rate and unsmooth trajectory in online multi-target tracking, an online multi-target tracking model based on R-FCN (region based fully convolutional networks) network framework is proposed. Firstly, the target evaluation function based on R-FCN network framework is used to select more reliable candidates in the next frame between KF and detection results. Second, the Siamese network is used to perform similarity measurement based on appearance features to complete the match between candidates and tracks. Finally, the tracking trajectory is optimized by the RANSAC (random sample consensus) algorithm. In crowded and partially occluded complex scenes, the proposed algorithm has higher target recognition ability, greatly reduces the phenomenon of missed detection and false detection, and the tracking track is more continuous and smooth. The experimental results show that under the same conditions, compared with the existing methods, the performance indicators of the proposed method, such as target tracking accuracy (MOTA), number of lost trajectories (ML) and number of false positives (FN), have been greatly improved.
VISTX: Experimenting with Interactive Stance and Sentiment Visualisation

User-generated content online continues to grow rapidly, and with this it becomes more challenging to evaluate the general consensus on a trending topic. Even greater challenges are faced if one wishes to compare opinions across multiple topics, as it can be difficult to make comparisons and reach conclusions with large amounts of data in an intuitive manner. VISTX explores innovative methods of visualising opinion in terms of stance and sentiment using Twitter data from the SemEval-2016 Stance Dataset and presents three types of interactive visualisations. We discuss the method of testing the visualisations for effectiveness with a small group of users, where time taken and the number of incorrect interpretations were measured for each user. We discuss the results, which indicate that the ‘circle-packing’ visualisation type may lead to quicker interpretations for five or more topics. Finally, we discuss the work needed to further solidify these initial findings.
IMPROVING READING COMPREHENSION OF SENIOR HIGH SCHOOL STUDENTS THROUGH SCANNING AND SKIMMING TECHNIQUES

The purpose of this research was to find out the students reading comprehension improvement through scanning and skimming techniques for students in SMA Muhammadiyah Tarakan. This research was quasi experiment. In this research, the researcher used two class. The researcher compared control class and experiment class whether there was any difference and improvement before and after giving treatment. The control class was given by skipping and paraphrasing techniques, meanwhile experiment class was given by scanning and skimming techniques. The subject of this study were XI IIS 3 as the experiment class there were 27 students and XI IIS 2 as the control class there were 26 students. The instruments were reading test that included pretest and posttest. Besides that, the researcher used descriptive analysis to analyze the data and SPSS veersion 22.0 for inferential analysis. The result of this research indicated that there were differences between pretest and posttest in both of the class. It was proven by the result of the students mean score. The students mean score in experiment class of pretest was 47,59 and posttest was 63,70. On the other hand, the students mean score in control class of pretest was 55,19 and posttest was 60,00. It can be seen from both of the class were have improvement. Eventhough, the treatment was different, but the comparison between control and experiment class, the experiment class was got higher improvement after giving the treatment by using scanning and skimming techniques, ratherthan the control class that was given by using skipping and paraphrasing techniques. It means that in experiment class the improvement of the students mean score was 16,11 point. The result of independent sample T test in posttest showed that T test (1,707) higher than T table (1,675). The result of this research there was the students reading comprehension was improve after using scanning and skimming techniques. Then it can be concluded that scanning and skimming can improve the students reading comprehension for studnts in SMA Muhammadiyah Tarakan.
Students From Central Asia in Russian Universities: The Social Media as a Tool of Adjustment

ECEL is now a well-established event on the academic research calendar and now in its 18 th year the key aim remains the opportunity for participants to share ideas and meet the people who hold them.The scope of papers will ensure an interesting two days.The subjects covered illustrate the wide range of topics that fall into this important and ever-growing area of research.The opening keynote presentation is given by Anthony "Skip" Baisel, from the Queen Mary University of London on the topic of Higher Education Pedagogy using Game Design.The second day of the conference will open with interactive collaborative keynote by Mie Buhl, Bente Meyer, Rikke Ørngreen, on the topic of Does IT work?Investigating factors at play in e-learning research.
Improving Pattern.nl sentiment analysis

Pattern (https://www.clips.uantwerpen.be/pages/pattern-nl) is an open-source Python package for NLP that is developed and maintained by the CLiPS Computational Linguistics group at Universiteit Antwerpen. The submodule for Dutch, pattern.nl, contains a rule-based sentiment analyzer, which is based on a built-in lexicon of about 4,000 Dutch lemmas. The lexicon contains a subjectivity and polarity score for each word, which are used to calculate a score for an input sentence. The usefulness of the lexicon was evaluated in 2012 by using it to classify book reviews. However, the applicability of Pattern in more general-domain sentiment analysis tasks is limited. For example, the sentences During the war, my youngest daughter died. or just broke up with my significant other and I don't want to live anymore. will receive a neutral judgement from the sentiment analysis function of pattern.nl. In order to generalise pattern.nl's sentiment analysis functionality, we propose to supplement its emotion lexicon with additional Dutch words and an associated subjectivity/polarity score. In this talk, we describe our attempt to extend pattern.nl with words from Moors lexicon (http://crr.ugent.be/papers/Moors_et_al_BRM_norms_Valence_Arousal_Dominance_AoA.pdf). Moors lexicon contains manually-annotated scores of valence, arousal and dominance for about 4,300 Dutch words. The ratings of valence were first rescaled to the [-1;1] range used by pattern.nl, and then added to its lexicon, increasing the coverage to a total of 6,877 unique words. We compared the effect of this extension by measuring the mean average error (MAE) of the original version of pattern.nl and our extended version against a balanced dataset of 11,180 book reviews and the associated ratings (1 to 5 stars) collected from bol.com. Preliminary experiments on the correlation between the common subset between pattern.nl and Moors' (0.8) bode well, but despite the increase in coverage, preliminary results are negative: the original version of pattern.nl seems to perform better than after the lexicon expansion. This was also confirmed by further tests, where we tried, to no avail, – removing Moors' words centered around 0 (i.e., neutral ones); – removing stopwords from Moors'; – replicating the original pattern.nl evaluation by binarizing the dataset and using F1 score. Part of the problem might lie in the dataset used for the evaluation: reviews are related to sentiment, but indirectly; furthermore, the dataset is very noisy. Different results could also be obtained by PoS-tagging and lemmatizing the data, a step that is not technically required but might be beneficial to increase the coverage of Moors' lexicon in sentences. We are currently looking for suitable datasets for Dutch that can be used to evaluate our extension, preferably datasets that are more general domain than product reviews.
Synthetical Methods to Express Semantic Restrictions of Volition in Display Discourse

The article presents the status of emoji in modern communication, synthetical methods to express semantic restrictions of volition, and the subjective value expressed by them in display text.
Dissecting Multi-line Handwriting for Multi-dimensional Connectionist Classification

Multi-Dimensional Connectionist Classification is a method for weakly supervised training of Deep Neural Networks for segmentation-free multi-line offline handwriting recognition. MDCC applies Conditional Random Fields as an alignment function for this task. We discuss the structure and patterns of handwritten text that can be used for building a CRF. Since CRFs are cyclic graphical models, we have to resort to approximate inference when calculating the alignment of multi-line text during training, here in the form of Loopy Belief Propagation. This work concludes with experimental results for transcribing small multiline samples from the IAM Offline Handwriting DB which show that MDCC is a competitive methodology.
Monotone probability distributions over the Boolean cube can be learned with sublinear samples

A probability distribution over the Boolean cube is monotone if flipping the value of a coordinate from zero to one can only increase the probability of an element. Given samples of an unknown monotone distribution over the Boolean cube, we give (to our knowledge) the first algorithm that learns an approximation of the distribution in statistical distance using a number of samples that is sublinear in the domain. To do this, we develop a structural lemma describing monotone probability distributions. The structural lemma has further implications to the sample complexity of basic testing tasks for analyzing monotone probability distributions over the Boolean cube: We use it to give nontrivial upper bounds on the tasks of estimating the distance of a monotone distribution to uniform and of estimating the support size of a monotone distribution. In the setting of monotone probability distributions over the Boolean cube, our algorithms are the first to have sample complexity lower than known lower bounds for the same testing tasks on arbitrary (not necessarily monotone) probability distributions. One further consequence of our learning algorithm is an improved sample complexity for the task of testing whether a distribution on the Boolean cube is monotone.
SPARKOL VIDEOSCRIBE SEBAGAI MEDIA PEMBELAJARAN

Learning media are aids in the learning process or communication and interaction tools between teachers and students which initially focused on visuals and audio, then develops with the use of computer technology in them whose purpose remains to achieve learning objectives. Scribe sparkol video is a white background software that contains narration and is usually used to design an animation program which is then developed into one of the learning media that can be used to be more attractive to students, their use is very fast and easy. There are several advantages and disadvantages of using sparkol video scribe as a learning medium, so it would be very wise if in our use we use mature thought. In addition to the enormous benefits for students because they are able to increase their enthusiasm for learning by using combined technology (audio visual and computer), it cannot be ruled out that using this media requires complete equipment and can use relatively expensive costs when compared to using print media only.
The Application of Airborne Geophysical and Satellite Imagery Data in the Delineation of Rock Boundaries and Structural Lineaments in Anka Sheet 52, Northwestern, Nigeria

The understanding of different lithologies and geological structures is a major task of geologists for accurate geological map during geological mapping exercise.In doing so, geologist must be able to cover broad areas of the surface or subsurface of the earth through collection of reliable remote sensing data over a wide region.The Landsat ETM + from Global Land Cover Facility (GLCV), Shuttle Radar Thematic Mapper-Digital Elevation Model (SRTM, DEM) data from Global Mapper version 14, Airborne Magnetic and Radiometric data from Nigeria Geological Survey Agency (NGSA) was acquired and interpreted with the help of computer-image processing technology such as Oasis Montaj and ArcGIS software to process, display and represent results covering the study area (Anka sheet 52).The basis of this technology is the representation of the radiometric data in a digital raster format that contain both amplitude and spatial information.In this format, the data was analyzed, enhanced for visual inspection and combined with other types of data to form colour composite images that clearly subdivide the Basement complex rocks into Pan-African Granites from the Metasediments and the most eye-catching feature is the basement-sedimentary contact.Also, a major NE-SW trending structural lineament referred to as the Anka Fault trends for almost 25km and other subsidiary lineaments trending NW-SE with few E-W trends.
A Research of Fuzzy Adaptive Extended Kalmal Filter Based on GPS Navigation System

This paper provides a fuzzy adaptive extended Kalman filter (FAEKF) based on the Global Position System (GPS), contrast with the conventional extended Kalman filter (EKF) , it shows that this algorithm can suppress filter divergence and robustness effectively from simulation experiments. FAEKF can make the receiver work properly when the noise gets bigger and changer dramatically, but conventional EKF cannot . It shows that this filter algorithm can adapt to the change of noise environments.
Process Approach as Skill Enhancer in Writing Recount Text

The process writing approach treats writing as a process rather than a completed product. Writing studies are conducted as part of the process due to the completion of the written text. In writing classes, this approach tends to focus on the student, and the teacher only acts as a guide. The process writing approach includes actions that occur when a written text is created. This research analyzed the benefits of the process approach as a teachers’ approach in order to enhance student writing skills in recount text. The researcher used the literature review and some of the previous research which has been conducted before as the measurements toward the process approach could improve student writing skill in recount text whether they understood the material which given by the teacher or not. As a result of the literature review and the previous research, the researcher found a significant influence of the process writing approach on writing progress and anxiety mainly in recount text. Based on this finding for written language research, the use of a process writing approach is recommended.