Reviewerly/exHarmony huggingface dataset:
Utilization of information technology in the implementation of active learning in Muhammadiyah Private Schools 21 Dolok Batu Nanggar online

In general, junior high school students view mathematics as a difficult and boring subject. In addition to students, teachers also experience difficulties in delivering material, including time constraints in delivering quite a lot of material, and a lack of student interest in learning mathematics when using conventional learning methods such as from textbooks and explanations from the teacher. With these considerations, the proposer wants to apply knowledge and technology by making mathematics learning media tutorials so that they can increase understanding and attract students' interest in learning and help improve the quality of mathematics education and teaching. The result achieved is that community service for active learning and ICT should be reproduced because there are still many schools that have not implemented it. Meanwhile, from the progress of the times, namely Industry 4.0, ICT-based learning is very much needed.
Estimation of rheological parameters for unstained living cells

Abstract In video-records, objects moving in intracellular regions are often hardly detectable and identifiable. To squeeze the information on the intracellular flows, we propose an automatic method of reconstruction of intracellular flow velocity fields based only on a recorded video of an unstained cell. The basis of the method is detection of speeded-up robust features (SURF) and assembling them into trajectories. Two components of motion—direct and Brownian—are separated by an original method based on minimum covariance estimation. The Brownian component gives a spatially resolved diffusion coefficient. The directed component yields a velocity field, and after fitting the vorticity equation, estimation of the spatially distributed effective viscosity. The method was applied to videos of a human osteoblast and a hepatocyte. The obtained parameters are in agreement with the literature data.
Event-related readings and degrees of difference

I present an analysis of event-related readings that treats both them and object-related readings as resulting from quantification over temporal stages of individuals, with thedistinction between the two arising from a difference in the degree of maximality that quantifiers require those stages to fulfil. The analysis accounts for the compositional-semantic effectof different in these examples, and the possibility of multiple event-related readings. I alsoexamine the connection between this analysis and existing accounts of quantifier domain restriction.
THESE WOULD BE OTHER

These Would Be Other is a collaborative work spearheaded by Brigid Burke and Sophie Rose. Composed over a year, the piece uses video, live and pre-recorded audio, and electronics. Burke layers visuals and audio to further distort Chris Mann’s text. The work was initially conceived as a tribute to Chris Mann’s life and oeuvre and published in Open Space Magazine as Two for Chris.These Would Be Other morphs the ideas of tribute and present-day considerations. The text was delivered by Sophie Rose at different points of exposure to the poem, from initial reading to experienced live delivery. This supplies an increasing complexity in delivery, pitch, and tonality in the pre-recorded. This complexity is further amplified by Burke’s echolalic audio distortions. Burke superimposes multiple layers of sound and video to create a fractured image of the fractal and recursive nature of the text and hues.
Subjective problems in the implementation of the competence approach to teaching the Chinese language in high school

Subjective problems in the implementation of the competence approach to teaching the Chinese language in high school]The competence approach currently dominates in higher education, which does not exclude the existence of a number of important problems in the implementation of this approach in practice.The classification of these problems into two types according to the criterion of objectivity of their sources is proposed.On the example of Rostov State University of Economics the group of problems related to the specifics of the organization of the learning process in a particular educational institution is considered in detail.Based on the analysis of the experience of teaching Chinese and other language disciplines for bachelor students with the specialization in "Foreign regional studies", we provide a detailed description of the subjective difficulties in the implementation of the competence approach in an institution of higher education, and provide a number of recommendations for their overcoming.
WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning

Machine learning classifiers often stumble over imbalanced datasets where classes are not equally represented. This inherent bias towards the majority class may result in low accuracy in labeling minority class. Imbalanced learning is prevalent in many real-world applications, such as medical research, network intrusion detection, and fraud detection in credit card transactions, etc. A good number of research works have been reported to tackle this challenging problem. For example, Synthetic Minority Over-sampling TEchnique (SMOTE) and ADAptive SYNthetic sampling approach (ADASYN) use oversampling techniques to balance the skewed datasets. In this paper, we propose a novel method that combines a Weighted Oversampling Technique and ensemble Boosting method (WOTBoost) to improve the classification accuracy of minority data without sacrificing the accuracy of the majority class. WOTBoost adjusts its oversampling strategy at each round of boosting to synthesize more targeted minority data samples. The adjustment is enforced using a weighted distribution. We compare WOTBoost with other four classification models (i.e., decision tree, SMOTE + decision tree, ADASYN + decision tree, SMOTEBoost) extensively on 18 public accessible imbalanced datasets. WOTBoost achieves the best G mean on 6 datasets and highest AUC score on 7 datasets.
Valoración de la utilidad de la materia de probabilidad y estadística en la carrera de IGE en el ITSOEH

SICES in 2017 requests ITSUR and deSoft to develop the SUREDSU platform, a web platform that will be developed to detect the educational expectations of students in the upper secondary schools of the state of Guanajuato. With this project, deSoft faces new challenges: making software for an external client, developing a platform aimed at users between 17 and 22 years old, and also developing software with a high level of concurrency. The members of deSoft, share a great interest in the quality of software generation, their quality strategy is certification in the CMMI-DEV model which was achieved in 2013 and which involves the application of software tests. To overcome the challenges faced with the SUREDSU platform, system tests have been applied: stress, usability, functionality, interface and data validation. Achieving identify the defects before delivery of the software and thereby meet the expectations of the client and end users.
Pedagogical Conditions of Forming Creative Artistic Competence of a Future Household and Industrial Arts Teacher

The article deals with the basic requirements for future household and industrial arts teachers, an highlights the peculiarities of their training in the process of modernization of the education system in the country. The need of the modern school system for professionals capable of facilitating aesthetic education of individuals and their creative and cultural development has been characterized. It has been determined that professional competence of a household and industrial arts teacher is a complex of their theoretical and practical readiness to perform teaching, an indicator of professional development and a key to successful teaching in household and industrial arts classes. A detailed analysis of the concept of creative artistic competence of a future household and industrial arts teacher and its importance in terms of revival of spiritual values and national culture has been carried out. The efficiency of pedagogical conditions of forming creative artistic competence of a future household and industrial arts teacher has been theoretically substantiated. The pedagogical conditions that are necessary for the effective formation of creative artistic competence have been specified. It has been discovered that in order to effectively develop the creative artistic competence of a future household and industrial arts teacher it is expedient to create the following pedagogical conditions: to include the disciplines of the artistic and creative cycle in the curricula, to encourage problem-based learning and assign creative tasks, to provide individual and differential approaches to the preparation of students for creative artistic activities, to provide students with the creative learning environment, the main characteristic of which is the creative interaction between the teacher and the students in solving problem-based tasks in class.
Application of the BOPPPS Instructional Model in Microwave Transmission and Reception Experiments Course

The BOPPPS instructional model is introduced into the experimental course "Microwave Transmission and Reception Experiments".Six pedagogical steps are recommended, that is, Bridge-in, Objective, Pre-assessment, Participatory-learning, Post-assessment and Summary.We aim at improving the teaching skills of the teacher and fostering the abilities and qualities of innovational thinking of the students.
"Where is your other half?": A Wedding shaped by the Profile, Politics and Potential of the Indo-China Border

We, two design researchers, citizens from India and China, had planned our wedding as a performative design act on the Indo China border.As we neared our performance site from either side, a border dispute broke out and there was a military stand-off between our armies keeping us separated by over a hundred kilometres.From this field-based project, we present three different design outputs: our designed wedding rings, then our wedding video shot at the border and a speculative architectural design program for wedding venues on political borders.In reflection we present the process of arriving at the decisions of these three different design artefacts and articulate three forces, namely profile, politics and potential of the border as shaping these design outputs.We attribute these characteristics of the Indo-China border as forces of design agency.With this we also present designing personal events as a discursive genre for Research-through-Design.
TEACHING WRITING DESCRIPTIVE PARAGRAPHS THROUGH CAREER EXPLORATION TECHNIQUE TO THE TENTH GRADE STUDENTS OF STATE SENIOR HIGH SCHOOL 5 OF PALEMBANG

Abstract: Career exploration technique is a technique by guiding the students to expend their idea, make decision, and explore the information about something that will be developed into written. Therefore, the main objectives of this study was to investigate the significant difference between studentsâ€™ writing achievement of the tenth grade students taught through career exploration technique and those taught through conventional teaching method of State Senior High School 5 of Palembang. This study applied a quasi-experimental design. The population in this study was all the tenth grade students of State Senior High School 5 of Palembang in academic year of 2019/2020 with 357 students. The sample was 70 students. They were 36 students as experimental group from Class X.IPA.1 and 34 students as control group from Class X.IPA.2 taken by using purposive sampling. The data were collected by using a written test, pre-test, post- test and analyzed by using paired sample t-test and independent sample t-test to compare the improvement between both groups. The result of the study showed that the studentsâ€™ pretest average score in the experimental group was 78.25 and in post-test it was 84.16. While, the studentsâ€™ pre-test in the control group was 78.88 and in the post-test was 78.88. The value of t- obtained (4.385) was higher than the value t-table (1.671), at the significant level 0.05 in one tailed with df=68. Since the value of t-obtained was higher than the value of t-table (4.85 &gt; 1.684), consequently the null hypothesis (Ho) was rejected and the alternative hypothesis (Ha) was accepted. It means that there was significant difference on teaching writing descriptive paragraphs through Career Exploration Technique to the tenth grade students of State Senior High School 5 of Palembang and those who are not.Â
Subject Guides: Submitting Electronic Theses and Dissertations (ETDs): Access Proquest ETD Administrator

This guide provides guidance for American University students who are required to submit their theses or dissertations electronically. IMPORTANT NOTE: links to AU's official ETD Submission and Style Guide and templates are located under the HOME tab below
Formation and Development of Interest in Music in Beginner Pupils in the Process of Learning to Play the Piano

Presented a variety of methodological techniques at the first stages of learning to play the piano in order to form and consolidate interest at the piano lessons.Purely practical approaches to solving this problem that were tested in the process of real work with children of primary school age are offered.The main idea is the need for maximum approximation of learning to play a musical instrument to the types of creative activity familiar to a child.This is the main guarantee of the most complete manifestation of the pupil's creative abilities and their subsequent development.Given specific examples that facilitate the perception of the teacher's instructions, encourage the child to work independently, meaningfully elaborate musical works, and develop a desire to communicate with music.An interesting and original know-how is music comparison with wildlife (Such a relationship contributes to the natural feeling of the phrase, the naturalness of intonation, and differentiated sound extraction).The important role of teacher's personality, his ability to creating an atmosphere of true creativity far from the mechanical fulfillment of his instructions at the lesson is emphasized.Work with pupils should be based on "child-centeredness" principle in the broadest and best sense of the word.
Causal Discovery for Climate Time Series in the Presence of Unobserved Variables

&amp;lt;p&amp;gt;Scientific inquiry seeks to understand natural phenomena by understanding their underlying processes, i.e., by identifying cause and effect. In addition to mere scientific curiosity, an understanding of cause and effect relationships is necessary to predict the effect of changing dynamical regimes and for the attribution of extreme events to potential causes. It is thus an important question to ask how, in cases where controlled experiments are not feasible, causation can still be inferred from the statistical dependencies in observed time series.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;A central obstacle for such an inference is the potential existence of unobserved causally relevant variables. Arguably, this is more likely to be the case than not, for example unmeasured deep oceanic variables in atmospheric processes. Unobserved variables can act as confounders (meaning they are a common cause of two or more observed variables) and thus introduce spurious, i.e., non-causal dependencies. Despite these complications, the last three decades have seen the development of so-called causal discovery algorithms (an example being FCI by Spirtes et al., 1999) that are often able to identify spurious associations and to distinguish them from genuine causation. This opens the possibility for a data-driven approach to infer cause and effect relationships among climate variables, thereby contributing to a better understanding of Earth's complex climate system.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;These methods are, however, not yet well adapted to some specific challenges that climate time series often come with, e.g. strong autocorrelation, time lags and nonlinearities. To close this methodological gap, we generalize the ideas of the recent PCMCI causal discovery algorithm (Runge et al., 2019) to time series where unobserved causally relevant variables may exist (in contrast, PCMCI made the assumption of no confounding). Further, we present preliminary applications to modes of climate variability.&amp;lt;/p&amp;gt;
STUDENTS’ NEED ON CREATIVE WRITING BASED – CHILDREN LITERATURE COURSE FOR EFL COLLEGE LEARNERS

It is a big challenge to college language study programs in developing courses designed to equip students with the competencies that can be used to take part in the creative industries for instance creative writing. This research aims to find problems and to gather informasi needed to develop teaching-learning materials of creative writing based Children Literature course for EFL college students. This course is necessary to be developed in accordance to the need of creative writing as part of creative industry in responding the trend of world economy whish is lead to the creative industry. To develop teaching-learning materials of creative writing based Children Literature course effectively, the first research needed is to conduct students’ need analysis by using questioner. This article describes (1) students’ problems in understanding explanations of concepts and examples of Children Literature; (2) students’ responses to the importance of various topics in the course of Children Literature; (3) students problems in learning subjects of Children Literature; (4) students’ responses to the importance of diverse exercises and tasks in Children Literature; (5) students’ responses to topics related to creative writing and Children Literature; (6) students’ need to the media of learning creative writing-based Children Literature course.
RRPN++: Guidance Towards More Accurate Scene Text Detection

RRPN is among the outstanding scene text detection approaches, but the manually-designed anchor and coarse proposal refinement make the performance still far from perfection. In this paper, we propose RRPN++ to exploit the potential of RRPN-based model by several improvements. Based on RRPN, we propose the Anchor-free Pyramid Proposal Networks (APPN) to generate first-stage proposals, which adopts the anchor-free design to reduce proposal number and accelerate the inference speed. In our second stage, both the detection branch and the recognition branch are incorporated to perform multi-task learning. In inference stage, the detection branch outputs the proposal refinement and the recognition branch predicts the transcript of the refined text region. Further, the recognition branch also helps rescore the proposals and eliminate the false positive proposals by the jointing filtering strategy. With these enhancements, we boost the detection results by $6\%$ of F-measure in ICDAR2015 compared to RRPN. Experiments conducted on other benchmarks also illustrate the superior performance and efficiency of our model.
Research Guides: Embedding LibGuides into Canvas: Content Box

This support guide demonstrates how to embed content from LibGuides into the Canvas course management system.
Conventions and temporal differences in painted faces: A study of posture and color distribution

The human face is a popular motif in art and depictions of faces can be found throughout history in nearly every culture. Artists have mastered the depiction of faces after employing careful experimentation using the relatively limited means of paints and oils. Many of the results of these experimentations are now available to the scientific domain due to the digitization of large art collections. In this paper we study the depiction of the face throughout history. We used an automated facial detection network to detect a set of 11,659 faces in 15,534 predominately western artworks, from 6 international, digitized art galleries. We analyzed the pose and color of these faces and related those to changes over time and gender differences. We find a number of previously known conventions, such as the convention of depicting the left cheek for females and vice versa for males, as well as unknown conventions, such as the convention of females to be depicted looking slightly down. Our set of faces will be released to the scientific community for further study.
Knowledge and possession of mobile phone by rural women: An impact study

Mobile is very essential tool in day today life. It strengthens the relationship with other members. It also helps during emergency situation but in rural India majority of women do not use mobile phones or they do not know how to use mobile. Also this is not just a matter of owning a mobile device but a matter of freedom and empowerment. Hence this study was conducted at Sulla village to find out the knowledge level and possession of mobile phone by rural women. This was carried out with the sample size of 70 rural women. The results indicated that, 77.1 percent of women use their own mobile with Airtel network. During pre test more than half percent of rural women (54.30%) had medium level of knowledge and after training programme, majority of the women were found to be in the high knowledge category (94.30%). The study also finds out that the main reason for owning a mobile phone was to contact family members (98.50%). Out of total variables, age and extension contact exhibited significant relationship with knowledge towards usage of mobile.
A study on cloud cover in reanalysis datasets in tropical south India

&amp;lt;p&amp;gt;Clouds play a key role in Earth&amp;amp;#8217;s energy and water budgets. This study examines the cloud cover changes in two nearer and distinct locations in tropical south India, one location is a near-coastal region in Thiruvananthapuram (8.52&amp;lt;sup&amp;gt;o&amp;lt;/sup&amp;gt;N, 76.90&amp;lt;sup&amp;gt;o&amp;lt;/sup&amp;gt;E) and another one in Western Ghats mountain ranges (10.15&amp;lt;sup&amp;gt;o&amp;lt;/sup&amp;gt;N, 77.01&amp;lt;sup&amp;gt;o&amp;lt;/sup&amp;gt;E). The study validated the following reanalysis product with Lufft CHM 15k ceilometer observations in both locations during 2017: ERA5, ERA-Interim and MERRA-2 reanalysis. ERA5 daily cloud cover data has the lowest RMSE (20 %) than other reanalysis datasets in these tropical locations. Correlation between daily ceilometer cloud cover observation and reanalysis datasets shows that ERA5 data has better temporal cloud cover anomaly (0.8) in the mountain location. All reanalysis datasets show significant correlation (0.01 level) with observation. RMSE (correlation) is higher (lower) in coastal region. Further, a long period cloud cover trend (1985-2016) in both locations are calculated from multiple reanalysis and ISCCP datasets. All datasets show a consistent and significant (0.01 level) increasing cloud cover in both locations.&amp;amp;#160; ISCCP Mean IR cloud amount (marginal) shows the highest increasing trend compared to reanalysis datasets (5.9 %). In the coastal location, the cloud cover increasing trend is much higher and all datasets agree well on it. A long period correlation analysis is performed between cloud cover variability in the study region and north Indian ocean SST to study their relation. Bay of Bengal SST is highly positively correlated with the cloud cover in the study region (significant at 0.01 level). This suggests that the observed increase in cloud cover has a strong relationship with the north Indian Ocean warming.&amp;lt;/p&amp;gt;