Reviewerly/exHarmony huggingface dataset:
Climate trends and rainfall patterns in the Ciliwung watershed, West Java of Indonesia

Abstract Jakarta city is one of the capitals that prone to frequent flooding. The objective of this study was to reveal climate trends and rainfall patterns upstream that were deemed to contribute to the flooding. Based on the daily climate data over 35 years from 1985 to 2019 and by applying Mann-Kendall Test and Gumbel distribution model, the watershed has become hotter and drier as indicated by a significant increase of air temperature (between 0.48 °C – 1.26 °C) and decrease of the relative humidity (over 2.9%). While the annual rainfall ranged around 3158±432 mm and did not indicate any changes. There were 5 extreme rainfalls in 1992 amounted to 4104 mm, 1995 (3758 mm), 2000 (3593 mm), 2012 (3779 mm), and 2013 (4283 mm). The maximum daily rainfall tended to increase at the slope of 0.94 mm/year, but the trend was not considered significant. The most probable event (63%) of the maximum daily rainfall was 98 mm with its return period of 1.6 years. The largest maximum daily rainfall was 245 mm in 2007 with its return period of 187 years causing the heaviest flooding with the highest casualty. There were clear indications that the rainfalls upstream considerably correlated with flooding.
EXPERT SYSTEM FOR IDENTIFYING STUDENTS’ BEHAVIOR AND PERSONALITY THROUGH CASED-BASED REASONING AT THE STATE JUNIOR HIGH SCHOOL 5 BANDAR LAMPUNG

Expert system was the system designed to emulate the expertise belonging to experts in answering questions and solving problems. This expert system provided solutions to the problems obtained from dialogues among users. This expert system was used because it contained knowledge, facts, and reasoning techniques to solve the problems and to transfer the experts’ ability to the computer. The expert system brought persons who were not an expert to be able to answer questions, solve problems, and make decisions that are usually made by the experts.  The State Junior High School 5 Bandar Lampung was one of the institutions engaged in the educational sector. In principle, The State Junior High School 5 Bandar Lampung always attempted to provide the best learning according to the students’ needs (e.g., giving advice to students in controlling themselves to behave and have a good personality in the school environment). The State Junior High School 5 Bandar Lampung carried out the learning and teaching processes for a long period of time. Moreover, the State Junior High School 5 Bandar Lampung also provided a good-learning quality for students through the expert system for identifying the student behavior and personality in State Junior High School 5 Bandar Lampung. It was expected that the students were able to control themselves in behaving and having good personalities so that they were able to develop the students in the learning processes. Keywords: Expert system, Case-Based Reasoning
Parallel resources for Tunisian Arabic Dialect Translation

The difficulty of processing dialects is clearly observed in the high cost of building representative corpus, in particular for machine translation. Indeed, all machine translation systems require a huge amount and good management of training data, which represents a challenge in a low-resource setting such as the Tunisian Arabic dialect. In this paper, we present a data augmentation technique to create a parallel corpus for Tunisian Arabic dialect written in social media and standard Arabic in order to build a Machine Translation (MT) model. The created corpus was used to build a sentence-based translation model. This model reached a BLEU score of 15.03% on a test set, while it was limited to 13.27% utilizing the corpus without augmentation.
LibGuides: Virtual Library Orientation: 360º Tour

Welcome to the AUC Robert W. Woodruff Library Orientation LibGuide! You will find links and tutorials to get you started researching at the Library here. See all three floors of the Library in this expanded tour!
Pengembangan Penilaian Autentik dalam Pembelajaran Sastra: Pendampingan bagi Guru Bahasa Indonesia SMP, SMA, dan SMK di Kota Pagaralam

DEVELOPMENT OF AUTHENTIC ASSESSMENT DEVELOPMENT IN LITERATURE LEARNING: ASSISTANCE FOR INDONESIAN LANGUAGE TEACHERS IN SMP, SMA AND SMK IN PAGARALAM CITY. Evaluation is an important part of learning activities. Therefore, the Indonesian Language teacher must have sufficient competence regarding the implementation of the evaluation. In the 2013 Curriculum (K-13) there is one type of assessment that must be carried out, namely authentic assessment. The Indonesian language teachers must have sufficient ability about this, especially to assess the process and results of literature learning. Most of the Indonesian language teachers in Pagaralam City did not understand well about authentic assessment in literature learning. This is based on preliminary surveys conducted by the team as well as from letters given through Indonesian language teachers’ club (MGMP). Mentoring and guidance are conducted to them including workshops on developing authentic assessment rubriks and observation sheets. A total of 11 junior high schools, senior high school, and vocational school teachers in Pagaralam City participated in this activity. The method used was the delivery of information, discussion, and workshops. A test is conducted in the form of self-reflection about aspects of authentic assessment in literary learning at the beginning and end of the activity. The result showed that there is an increase in the ability of participants about authentic assessment in literature learning before and after the activity with an N-gain of 0.57, which means medium.
Coreference Strategies in English-German Translation

We present a study focusing on variation of coreferential devices in English original TED talks and news texts and their German translations. Using exploratory techniques we contemplate a diverse set of coreference devices as features which we assume indicate language-specific and register-based variation as well as potential translation strategies. Our findings reflect differences on both dimensions with stronger variation along the lines of register than between languages. By exposing interactions between text type and cross-linguistic variation, they can also inform multilingual NLP applications, especially machine translation.
The Impact of Social Media on Students’ Academic Performance

With the advancement of the Internet and telecommunication technologies, social media has become an integral part of our day to day lives. It facilitates the interaction among people by sharing information regardless of the location and time barriers. The use of social media has gradually changed and impacted on every aspect of the society, specially the higher education context. Students in higher educational institutes are using social media for academic as well as non-academic purposes. Thus, understanding the impact of social media on students’ academic performance has become inevitable. Even though social media in higher education has been researched by many, the impact of social media on students’ academic performance has not been addressed sufficiently, particularly in the Sri Lankan context. Review of literature revealed that there is a lack of comprehensive models and frameworks to summarize the impact of social media on students’ academic performance. Hence, the objective of this study was to examine the impact of social media on students’ academic performance in higher education. Based on a thorough review of literature, the current study formulated a comprehensive multi-dimensional model integrating Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB) and IS success model. The model developed will be tested for its statistical validity using data collected from the higher education context.
Vollkommen digital, digital und vollkommen? – Das digitale Lehrwerk im didaktischen Kontext : Digitale Werkzeuge und das digitale Lehrwerk im Fremdsprachenunterricht an schwedischen Schulen im deutschschwedischen Vergleich – eine Literaturstudie

This paper is a literature review exploring previous research on digital learning at school and the competence required both of teachers and pupils. Furthermore, it aims to point out advantages and ...
Haze Scene Detection based on Hue, Saturation, and Dark Channel Distributions

Dehazing significantly improves image quality by restoring the loss of contrast and color saturation for images taken in the presence. However, when applied to images not taken according to the prior information, dehazing can cause unintended degradation of image quality. To avoid unintended degradations, we present a hazy scene detection algorithm using a single image based on the distributions of hue, saturation, and dark channel. Through a heuristic approach, we find out statistical characteristics of the distribution of hue, saturation, and dark channels in the hazy scene and make a detection model using them. The proposed method can precede the dehazing to prevent unintended degradation. The detection performance evaluated with a set of test images shows a high hit rate with a low false alarm ratio. Ultimately the proposed method can be used to control the effect of dehazing so that the dehazing can be applied to wide variety of images without unintended degradation of image quality.
Analysing Gesture in Audiovisual Performance

This paper extends upon previous work ( Pedersen, Burke & Alsop, 2020) examining gesture in audiovisual performance using motiongrams and spectrograms to identify aspects of gestural surrogacy. We focus on integrating the concept of gestural surrogacy from the spectromorphological tradition with concepts of multi-sensory feature binding. To support this investigation, we examine excerpts of two audiovisual pieces, comprised of improvised clarinet, guitar and post-processed video in contrasting styles.
Digital technological readiness of school teachers

The issue presents an analysis of teachers’ and managers’ readiness to use digital technologies in the educational practice at school. Technology readiness as a socio-psychological characteristic is studied in terms of the occupational position and the subject. The readiness towards the transition to distance learning at the very beginning of the COVID-19 pandemic is being considered. The relationship between teachers’ technology readiness and the barriers of the transition to distance learning format is revealed. The study is based on the data from a survey of teachers and school managers conducted by the Laboratory of Innovations in Education, National Research University Higher School of Economics in March 2020 in 20 regions. 8188 teachers and administration representatives from 190 general education schools took part in the survey. In the sample presented, 90% of the respondents are teachers, 10% are managers (directors and deputy directors). The absence of open technophobia was revealed among teachers. At the same time, teachers of computer science are best suited for the role of agents of technological transformation in schools. Special attention and support should be directed to teachers of the Russian language and literature, music. The gap in technology readiness between leaders and teachers was discovered. Teachers with a low level of technological readiness are characterized by insufficient qualifications in working with technologies, poor understanding of their necessity and advantages, and psychological barriers.
Tandem Language Exchange: An App to Improve Speaking Skill

Technological progression has brought drastic changes in the way second language is taught and learned and there is now a vast number of software and applications designed to facilitate this process. One of the applications that is specially designed for improving the speaking skill is Tandem Language Exchange . This application tries to facilitate learning the skill by bringing many language learners together as a big community. Learners can also use the tutor feature of the app to connect with professional language teachers. This article aims to provide a review of Tandem Language Exchange application by introducing its main features and its strengths and weaknesses. The review recommends Tandem as a platform for improving the speaking ability of second language learners. The app can also benefit second language teachers.
Exploring Target Driven Image Classification

For a given image, traditional supervised image classification using deep neural networks is akin to answering the question 'what object category does this image belong to?'. The model takes in an image as input and produces the most likely label for it. However, there is an alternate approach to arrive at the final answer which we investigate in this paper. We argue that, for any arbitrary category y~, the composed question 'Is this image of an object category y~' serves as a viable approach for image classification via. deep neural networks. The difference lies in the supplied additional information in form of the target along with the image. Motivated by the curiosity to unravel the advantages and limitations of the addressed approach, we propose Indicator Neural Networks(INN). It utilizes a pair of image and label as input and produces a boolean response. INN consists of 2 encoding components namely: label encoder and image encoder which learns latent representations for labels and images respectively. Predictor, the third component, combines the learnt individual label and image representations to make the final yes/no prediction. The network is trained end-to-end. We perform evaluations on image classification and fine-grained image classification datasets against strong baselines. We also investigate various components of INNs to understand their contribution in the final prediction of the model. Our probing of the modules reveals that, as opposed to traditionally trained deep counterpart, INN tends to much larger regions of the input image for generating the image features. The generated image feature is further refined by the generated label encoding prior to the final prediction.
LibGuides: Identifying Sources in Works Cited Lists and Bibliographies: Locating Books in Citations

Works cited lists are very effective ways to find relevant sources for your research. In order to be able to make use of the information in works cited lists, you must be able to identify the kind of source it is: is it a book, a chapter in a book, a jour
Adaptive Entity Normalization for Biomedical Text Mining

Author(s): Mehta, Raghav | Advisor(s): Knight, Rob; Hsu, Chunnan | Abstract: Entity normalization is an essential but challenging task for knowledge base construction by text mining the scientific literature. Related to entity linking and word sense disambiguation, models for entity normalization usually depend either on the surface text phrases of the entities or their coherence in the context. In this paper, we show that NormCo, a deep neural network normalization model, can switch between phrase and coherence models. Specifically, we tested this model on the tasks of normalizing bacteria and disease entities extracted from the scientific literature. These two entity types are important to construct a knowledge base of associations between diseases and human microbiome, an emerging development in biotechnology. We show that NormCo switched to either phrase or coherence model to accomplish the best performance for different entity types. We revised NormCo with a dynamic document-level switch and tested it with novel embedding techniques and obtained encouraging results. We organized and consolidated available lexical resources and annotated corpora for bacteria entity tagging and normalization, revealing a high level of discrepancy among these resources. Our results with these resources suggest that the skewed distribution of biomedical entity mentions may require different normalization approaches for highly mentioned entities from long-tail ones.
Designing for Augmented Reality in aviation E-Commerce

In-flight entertainment (IFE) is facing exciting times ahead as more and more technological advancements find its way into the IFE-systems. With the increasing hardware capabilities of IFE-systems, ...
Uso del Moodle en el entendimiento de la tecnología como rasgo potencial del docente

The purpose of the study is to show the interaction of the use of the virtual platform to take on the new potential challenges of the teacher during the practice of teaching-learning. The theoretical arguments are based on three components for the understanding of technology: use of tools to know and value the student, ICT to work on coexistence standards and the Integration of ICT tools in learning sessions. The study shows an experimental design of a quasi-experimental type, in an intentional non-probabilistic sample of 40 teachers from a Public Institution of Regular Basic Education of Metropolitan Lima. To obtain the data, a questionnaire was provided that allowed identifying the level of understanding of the technology applied before and after the course designed in Moodle, reaching the conclusion. The application of the Moodle platform tools allowed the teacher, the understanding of technology in its three components mentioned above; the practice of these leads to a new potential teaching feature in the new pedagogical scenario.
perancangan aplikasi layanan pernikahan get married

Get Married wedding service provider application is a solution to problems that are often found in meeting the needs of marriage. Marriage needs which are a problem for the prospective newlyweds are choosing a wedding organizer, offering package prices, location of the building to hold a party, decorations. Apart from that, the problem of sightseeing marriages is also a problem that is often found because it is difficult for the bride and groom to determine the destination to be chosen. In addition, a problem that is often found is the difficulty of newlyweds to keep a wedding photo album. The Get Married application design has features to solve the problems found, including the GYF feature, which is the main feature provided by Get Married with the help of AR technology to provide an overview of the location to have a party. Then the trending feature is a feature to provide a good overview of the theme or invitation form. The package feature is the next feature that provides a solution for brides who do not have time to choose a place to hold a party, theme, because this feature is collaborated with a vendor so that the bride and groom can choose what kind of package they want.
Security Information and Event Management Model Based on Defense-in-Depth Strategy for Vital Digital Assets in Nuclear Facilities

After striking event of Stuxnet in Iran, international society recognizes that sabotage using cyber attack on nuclear facilities is no longer a hypothetical. The International Atomic Energy Agency, the IAEA, and the US nuclear facility regulatory authority recommends that nuclear licensees establish security measures to prevent/detect/response the cyber attack. Moreover, storing logs at the system to trace and support the incident investigation and analysis by their guidelines. In particular, since vital digital assets (VDA) to prevent and mitigate severe accidents in nuclear facilities, that possibly be direct targets for sabotage. Therefore, security measures for cyber attack detection and log collection are essential. SIEM is typical attack detection model through security information and log management, and various solutions are already used in many IT industries. But VDAs are difficult to purchase and implement commercial log collection and detection solutions. Because industrial control systems which used in VDAs are develop specifically for nuclear facilities, designed and performing safety and safety related functions. And nuclear facilities are necessary to meet safety and security requirements such as defense-in-depth strategy and boundary protection system to licensees designing SIEN network to implement central monitoring method. So we proposed DID-SIEM that is a security information and event management model based on defense-in-depth strategy. DID-SIEM is SIEM model that incorporates the design requirements to meet both the cyber security guidelines and operational constraints of nuclear facilities.
LibGuides: LSC 504:Baby Story Time: Tools for Reading to the Wee Ones.: S.O.S. Save Our Story time!

Reading and providing quality programming to your youngest patrons is quite the task: however, with the proper tools, you will be able to provide your wee patrons with many wonderful story time experiences and a lifetime love of reading.
On Learning Read-once DNFs With Neural Networks

Learning functions over Boolean variables is a fundamental problem in machine learning. But not much is known about learning such functions by neural networks. Because learning these functions in the distribution free setting is NP-Hard, they are unlikely to be efficiently learnable by networks in this case. However, assuming the inputs are sampled from the uniform distribution, an important subset of functions that are known to be efficiently learnable is read-once DNFs. Here we focus on this setting where the functions are learned by a convex neural network and gradient descent. We first observe empirically that the learned neurons are aligned with the terms of the DNF, despite the fact that there are many zero-error networks that do not have this property. Thus, the learning process has a clear inductive bias towards such logical formulas. To gain a better theoretical understanding of this phenomenon we focus on minimizing the population risk. We show that this risk can be minimized by multiple networks: from ones that memorize data to ones that compactly represent the DNF. We then set out to understand why gradient descent ``chooses the compact representation. We use a computer assisted proof to prove the inductive bias for relatively small DNFs, and use it to design a process for reconstructing the DNF from the learned network. We then continue to provide theoretical insights on the learning process and the loss surface to better understand the resulting inductive bias. For example, we show that the neurons in solutions with minimum l2-norm of the weights are also aligned with the terms of the DNF. Finally, we empirically show that our results are validated in the empirical case for high dimensional DNFs, more general network architectures and tabular datasets.
INCREASING VOCABULARY MASTERY OF VIII GRADE STUDENTS AT SMP NEGERI 4 TOLITOLI THROUGH PICTURE

This research Includes an experimental research which consists of four stages; Planning, action, observation and relection. The subjects of this study are students of class VIII E SMP Negeri 4 Tolitoli academic year 2016 / 2017.This research used 17 students as a sample from score this study can be seen from the average value of each value pre test and post test. Where the score pretest in this study.  The result of the test showed that the students’ mean score in post test 84.88 is high than pretest 51.25. The researcher found  that  the  T-table  is  2,131  was  identified  at  15  the  significance level is 0,05 and T counted  Is 14,977, it   meant  that  the   Tcounted   was  higher   than   Ttable   and   the  hypothesis  is  accepted. The  researcher concluded that  using  picture  can increase  vocabulary  mastery  of  VIII  Grade  students  at  SMP Negeri 4 Tolitoli through Picture. Based on these results, the researcher draw the conclusion that the media pictures can improve the mastery of  vocabulary in the students of class VIII E SMP  Negeri  4  Tolitoli academic year  2016 / 2017. From facts, the authors suggest English teachers to be more creative which to make students more active and enjoy in learning English. The researcher also suggest to students to emphasize themselves for more enterprising learning more actively ask questions and to seek more knowledge. Keywords : Increasing Students Vocabulary Mastery, using Pictures.