Reviewerly/exHarmony huggingface dataset:
Argo Scholar: Interactive Visual Exploration of Literature in Browsers

Discovering and making sense of relevant research literature is fundamental to becoming knowledgeable in any scientific discipline. Visualization can aid this process; however, existing tools' adoption and impact have often been constrained, such as by their reliance on small curated paper datasets that quickly become outdated or a lack of support for personalized exploration. We introduce Argo Scholar, an open-source, web-based visualization tool for interactive exploration of literature and easy sharing of exploration results. Argo Scholar queries and visualizes Semantic Scholar's live data of almost 200 million papers, enabling users to generate personalized literature exploration results in real-time through flexible, incremental exploration, a common and effective method for researchers to discover relevant work. Our tool allows users to easily share their literature exploration results as a URL or web-embedded IFrame application. Argo Scholar is open-sourced and available at https://poloclub.github.io/argo-scholar/.
Testing Equality with Strings

When comparing strings together, there are some issues that can come up. When you work with primitive local value types like int, float, etc., these are stored as values on the stack that have unique memory addresses from each other. When you work with class types, like String, they refer to memory locations on the heap. When you use the equality operator, ==, it looks and returns true if the reference is equal between the two items. Sometimes, when you use class types, the references can be different, so this returns a false, even if the values in the strings are identical.
Limb velocity variability impacts optimal sound production in marimba performance

Musicians execute thousands of complex movements during a performance. This study examined the accuracy of such movements in a marimba performance context. Marimba performance is associated with an idealistic performance accuracy component wherein the terminal position of the mallets should strike the bar over the resonator to produce optimal sound. The aims were to investigate how performance tempo impacts mallet accuracy as well as to assess potential kinematic mechanisms underlying such performance. Thirteen percussion majors performed a two-mallet excerpt in slow (110 bpm), intermediate (120 bpm), and fast tempo conditions (130 bpm). Motion tracking was used to monitor the positions and compute velocities of the mallets, hands, wrists, and elbows. Endpoint errors were obtained by comparing the mallet's terminal position to that of the visual target located over the resonator on the marimba's bars. It was hypothesized that lower mallet accuracy would be observed in the fast vs. the slow condition and that mallet accuracy would be driven by altered limb segment velocity relating to tempo condition. Indeed, the mallet accuracy analysis revealed lower accuracy in the fast vs. the slow tempo conditions. Interestingly, velocity variability was greater in the intermediate and fast conditions compared to the slow condition in the left elbow, left wrist, and right hand. This pattern may suggest that limb velocity variability can negatively impact mallet accuracy and thus reduce optimal sound production. Therefore, identifying strategies to target limb velocity during the skill acquisition phase may enhance motor learning in marimba performance.Acknowledgments: * Indicates joint first-authorship; The Canada Foundation For Innovation and the Percussion Department in the Faculty of Music at U of T
Paris Embraces Modern Art – But Not in Court: Opinion on the Cour d’Appel de Paris Decision – <i>Jeff Koons v Franck Davidovici</i>

Abstract In February 2021 the Paris Court of Appeal (Cour d’appel de Paris) rendered a decision against the US artist Jeff Koons, holding that he had infringed copyright relating to an advertisement photography that was more than 30 years old. Jeff Koons is famous for his Neo-pop Appropriation art – kitsch for some, a provocative breach with the traditional notion of art for others. It was not the first time Koons has had to defend his work in court. The French decision is particularly interesting, however, as it shows a very narrow understanding of the copyright exceptions. It is an illustrative example of the issues resulting from CJEU’s approach in Pelham, Spiegel Online and Funke Medien, where the Court held that once the recognisability of original elements has been established, the only way out of the infringement leads through the formal exceptions and limitations of the InfoSoc Directive. Based on the decision, I will reflect on the openness of copyright for art-specific forms of referencing and in particular analyse the subject matter and scope of the parody exception and contrast it with less formal approaches to consider new creative elements. I will also analyse the question of applicable law in internet cases.
The Significance Of “Mobile Assisted Language Learning” (MALL) In Developing Literacy Skills Among ESL Learners In A Digital Age

This research focuses on “Mobile Assisted Language Learning” as a resourcetool that can assist language learners. It aids in implementing 2.O mobile applications forICT-based blended learning, hybrid learning, flipped classroom pedagogy, and advanceEnglish learning. ESL students have adequate oral English abilities to deal with academicchallenges and live their lives as entrepreneurs or successful professionals. ESL learnersare used to casual contact. They must overcome their uncertainty and intrusion to generategenuine learning chances and language creations through mobile language learning. As alanguage learning technique, mobile education combined with digitalized references hasbecome valuable instruments for the young generation in practically every countryworldwide. In today's modern technophobic world, the limits of English as a foreignlanguage are gradually dissolving. ESL learners are relatively accessible in practically allcountries and effortlessly seek the knowledge given through cell phones.
Two-step Deep Learning for Computational Imaging

A two-step deep learning approach is proposed for computational imaging. This approach is robust to image model mismatches since physics priors are not needed and mitigates over-parameterization by training the network in 2 steps.
The Construction of Crime News by the Media: A Class Activity

Research suggests there is a disconnect between crime-related perceptions and realities in the United States. For example, many students enter social science courses believing that violent crime rates are increasing, when in fact the opposite is true. This class activity encourages students to critically analyze the media as a filter of information rather than as an accurate reflection of reality. Students begin by examining the concepts of agenda-setting and framing. Then, in small groups they will utilize criteria established by Jewkes and Linnemann (2017) to investigate and categorize what makes the news in both local and national media outlets. They will compare their findings to those of their classmates to develop a broader understanding of the news-making process. Finally, they will assess their findings with regard to the media as a filter and the emotions (e.g., fear) produced by the distorted news-making process.
Developing responsibility links between teacher training institutions and schools in the organization of teaching intership for students

Building the responsibility link teacher training institutions and schools in the organization of teaching intership for students is of key importance in the teacher education process. Because the period of pedagogical internship takes place in schools, students have the opportunity to get to know the school practice where they will work after graduation; where they apply the theoretical knowledge learned into their own works; a place that gives students insights into practical and relevant local and contextualities. However, in the current teacher training practice, the responsibility link between schools and education universities remains one way, in which schools participate in assisting the education universities as supporters rather than stakeholders. In particular, the reality shows the lack of motivation to make mentors participate in instructing internships, the lack of regulations on responsibility commitments, and agreements on professional interests between the two sides to orient the responsibility for participation. Based on analyzing the content of teaching intership, the current situation of responsibility association between teacher training institutions and schools, the article indicates principles, building a responsible link between the education universities and the schools in the organization of teaching intership for students towards the development of a sustainable and effective collaborative relationship.
THE LANGUAGE CONSTRUCTION OF CHILDREN PUBLIC SERVICE ADVERTISEMENT ANIMATED VERSION WASPADA CORONA IN ONLINE MEDIA AND THE CONSTRUCTION OF THE SOCIETY IN SEMARANG CITY

This research is motivated by the presence of advertisements in online media dealing with the worldwide Covid-19 pandemic. Advertisement with children as the endorser to convey the message on Waspada Corona aired in animated version of public service advertisement. this advertisement is very intriguing seen from the emerge of children in educating the public dealing with the enormity and serious impact of the epidemic. How online media construct the children animated advertising language on waspada Corona and how the Semarang society reconstruct language message in the media.This research purposive media text selection as the data collecting method and media text analysis in its analyzing technique as analyzing advertisement method. While the construction of the society, the data were analyzed by mans of Miles and Huberman‟s interactive and constructivist qualitative analysis. The paradigm used is constructivism and is completed with Peter L berger‟s social construction theory.The result of this research are expecyed to show the full form of construction of children advertisement in online media and the construction of the society in responding the online media advertising messages.Keywords : Animation, Children advertisement, Construction, Online Media, Public Service Advertisement.
Presentation: Bringing the Generic Mapping Tools to Python

Talk at the Scipy Conference 2017.AbstractThe Generic Mapping Tools (GMT) is an open-source software package widely usedin the geosciences to process and visualize time series and gridded data.Maps generated by GMT are ubiquitous in scientific publications in areas suchas seismology and oceanography.We present a new GMT Python wrapper library built by the GMT team.We will show the design plans, internal implementations, and demonstrate aninitial prototype of the library.Our wrapper connects to the GMT C API using ctypes and allows input andoutput using data from numpy ndarrays and xarray Datasets.The library is still in early stages of design and implementation andwe are eager for contributions and feedback from the Scipy community.
PENGARUH MODEL PEMBELAJARAN BERBASIS PENGALAMAN (EXPERIENTAL LEARNING) TERHADAP KETERAMPILAN MENULIS TEKS DESKRIPSI SISWA KELAS VII SMPN 3 KECAMATAN HARAU

This study aims to (1) empirical data on the effect of Experiental Learning Learning Model on Students 'Skill Text Writing Skills, (2) to know the empirical data on the effect of Experiental Learning Learning Models on Students' Skill Text Writing Skills. Data analysis shows that experiential learning models have an effect in learning to write description texts in the experimental class. This is evidenced by an increase in student scores after applying experiential learning learning models, obtained an increase in student learning outcomes at posttest with an average () 79.77, with the t test (t-test) prove tcount with ttable (6,7331> 2,060), because tcount is greater than ttable, Ha (alternative hypothesis) is accepted. While the conventional method also influences the learning of writing description texts of students in the control class. Evidenced by an increase in student grades, the average pretest time () 57.35. Posttest with an average () of 65.08, with the t test (t-test) proves tcount with ttable (4.3990> 2.060), because tcount is greater than ttable then Ha (alternative hypothesis) is accepted. Based on the test results that there is a significant influence between the learning outcomes of writing descriptive text between experiential learning models and conventional methods. So, the learning outcomes of experimental class students who are taught with experiential learning models are better than the learning outcomes of control class students who are taught using conventional methods
Note taking strategies and listening Comprehension of students of the college of education

Cornell method has been and remains one of the most popular note-taking strategies amongst students today. The note taking skills of the respondents would measure their listening comprehension. Listening is an important part of the oral communication process and is an important skill for students especially among college students who are mostly taught through the lecture method. This research study was conducted to determine the Note taking Strategies and Listening Comprehension of the students of the College of Teacher Education. This study was guided by the lone hypothesis that there is no significant difference in the respondents ’listening comprehension in English when grouped according to the note-taking strategies they usually use in their English subject. This study utilized the descriptive correlational design where the listening comprehension and the note taking skills of the respondents were separately described and shown it relationship. The data that were gathered were treated utilizing the frequency and percentage distribution and the mean, Anova. The findings of this study have led to the conclusion that the respondents are still weak in listening to vocabulary items while performed well in noting details and prefer to take down notes in terms of the definition of terms. It is further concluded that their listening comprehension improves when they take down notes of details and vocabulary items. In view of the findings of this study, it is highly recommended that teachers should utilize different strategies in helping students improve their performance in listening to vocabulary items and encourage them to take down notes to details especially in their English classes. Further, students centered activities should be integrated as one of the major strategies in English courses to facilitate the enhancement of this weakness on the part of the students.
PENERAPAN ARSITEKTUR KONTEMPORER PADA PERANCANGAN ISLAMIC CENTER DI KOTA SOLO

Islamic Center has the meaning of a physical container that accommodates several Islamic activities and supports. Among these activities consist of worship activities, mu'amalah and da'wah. The Islamic Center also has a role as a center for Islamic information both for Muslims and for people who want to know and want to learn about Islam.Therefore, with the design of an Islamic Center Area, it is hoped that it can accommodate community activities in the fields of religious education, economics and sports and can respond to the need for open space in the city of Solo. The Islamic Center area applies the concept of Contemporary Architecture as an effective form of approach to the surrounding community, especially for teenagers.Keywords: Islam, Center for Religious Activities, Religious Tourism, Solo.
LIBRARY RESOURCES FOR VOCATIONAL EDUCATION AND TRAINING

This paper reviewed literature with the aim of justifying library resources for effective vocational education and training. The needed information for this paper was gathered from secondary sources of data which were obtained from journal articles, conference papers, online sources and so on .This involves reading meaning into materials consulted for purpose of achieving a reliable conclusion. Libraries provide information for planning, education, politics, researches, economic activities and enlightenment which are inevitable in learning as a whole. Libraries as pool of information provide such access through their various services and information resources, keeping the people well informed of developments and ensuring its sustainability. The roles library play in educational development is inevitable, hence the need for resources that will aid effective technical education and training. This paper aims at justifying the resources in the library that can aid effective technical education and training. It also looks into types of libraries with resources for technical education and training. Based on the paper, library resources for effective technical education and training include printed and non printed materials and challenges preventing the libraries are inadequate funding. Therefore, the paper suggested the provision of adequate funds by government, provision of adequate and world class infrastructure, training and retraining of staff, enlightenment, sensitization and outreach services so as to aid functional vocational education and training.
EVALUATION OF THE CURRICULUM OF ENGLISH CLASS AT SMP NEGERI 1 SUMBANG

The present research study focused on the teachers’and students opinions about the CIPP program implemented in English class at SMP N 1 Sumbang In Context component above the lowest rate is on the point of language laboratory which is not provided by the school. And we can conclude that,only point number 2 have the highest rate of student rather than other points in the concerning context opinion. Means that, Students opinion stated the school supports the establishment of active English communication for student.and it provides students suplemantary books as well. Even tough, the mean of teacher in this table not much different from the means of student in this context, we can see the table. Teacher’s opinion in number 6 has a high mean, it means School has vision and mission to support the achievement of a good learning English.
AI3SD Video: Automated Chemical Ontology Expansion

Ontologies provide a shared vocabulary and semantic resource for a domain. Manual construction enables them to achieve high quality and capture subtle semantic nuances, essential for wide acceptance and applicability across a community. However, the manual curation process does not scale for large domains. I will present a methodology for automatic ontology extension based on deep learning using ontology annotations, and show how we apply this methodology to the ChEBI ontology, a prominent reference ontology for life sciences chemistry. We used a Transformer-based deep learning architecture trained on the chemical structures from ontology leaf nodes, and the system learns to predict membership in multiple mid-level ontology classes as a multi-class classification task. Additionally, I will illustrate how visualizing the model’s attention weights can help to explain the results by providing insight into how the model made its decisions.
Improving the Predictive Validity of Reading Comprehension Using Response Times of Correct Item Responses.

Response times have often been used as ancillary information to improve parameter estimation. Under the dual processing theory, assuming reading comprehension requires an automatic process, a fast, correct response is an indicator of effective automatic processing. A skilled, automatic comprehender should be high in response accuracy and low in response times. Following this argument, several questions were addressed in this study. First, individuals with higher ability endorsed a correct response more quickly in the reading comprehension assessment, suggesting correct response times provide useful information in discriminating individuals of different abilities. Second, in terms of predicting an external criterion of reading proficiency, the increment of predictive validity of categorized correct response times was larger than the incremental validity of continuous response times based on both correct and incorrect response times. An index reflecting both accuracy and response time yielded higher...
ANALISIS INDEKS KEPUASAN MASYARAKAT MENGGUNAKAN NAÃVE BAYES DALAM MEWUJUDKAN LAYANAN PRIMA PADA PUSKESMAS MAJASEM

Public service is the fulfillment of the expectations or needs of the community from a service institution. Community Satisfaction Index (IKM), namely data and information regarding community satisfaction obtained from qualitative and quantitative measurement results of public opinion in getting services from public service institutions by comparing the expectations and needs obtained. The NaA¯ve Bayes method was chosen in this study. NaA¯ve Bayes is a simple probabilistic classifier that calculates probability sets from a calculated combination of frequencies and values in a specific data set format. The algorithm uses the Bayes theorem and assumes that all attributes are independent due to the value of the class variable. This study aims to determine and analyze the level of community satisfaction with the services provided at the Majasem Health Center, and to determine the classification of the community satisfaction index given at the Majasem Health Center. The Majasem Puskesmas, which is located in Karyamulya Village, Cirebon City, does not yet know the level of accuracy of the community satisfaction index and does not yet know the indicators that it feels are still lacking. The solution to this problem is a community satisfaction index test using the NaA¯ve Bayes method to determine the community satisfaction index and indicators that are deemed insufficient so that in the future it can be improved by the management of the puskesmas. This community satisfaction index analysis uses the NaA¯ve Bayes algorithm which starts from data selection, data selection, transformation, data mining, and evaluation. The results of the satisfaction index analysis on excellent service at the Majasem Health Center were 78.95% with a good category..
An Android Application for Visually Impaired Person Using Deep learning.

Presently, visually impaired individuals carry sticks with them which helps them to scan their surroundings for obstacles or orientation marks and to measure the distance between them and objects in their surroundings. If the visually impaired people are provided with an audio description of their surroundings, it would have a significant effect on their lives and help them understand their surroundings better. The recent advances in Deep Learning and Computer Vision have led to excellent Image Captioning models using advanced techniques like Deep Reinforcement Learning. These captions can then be read out loud to the visually impaired so that they can have a better understanding of their surroundings. Our model uses a convolutional neural network (CNN) to extract features from an image which is then converted into a sentence, describing the image invalid English by feeding it to a recurrent neural network or a Long Short-Term Memory network. We believe that our model with greatly improve the life of visually impaired people by allowing them to understand their surroundings.
Light Field Quality Assessment Based on Aggregation of Visual Features in Spatio-angular Domains

The visual features are extracted and aggregated to indicate the light field quality, which are composed of the natural statistical features in spatial domain, the gray level co-occurrence features in angular and spatio-angular coupling domains.