Reviewerly/exHarmony huggingface dataset:
Scaling Gaussian Processes with Derivative Information Using Variational Inference

Gaussian processes with derivative information are useful in many settings where derivative information is available, including numerous Bayesian optimization and regression tasks that arise in the natural sciences. Incorporating derivative observations, however, comes with a dominating $O(N^3D^3)$ computational cost when training on $N$ points in $D$ input dimensions. This is intractable for even moderately sized problems. While recent work has addressed this intractability in the low-$D$ setting, the high-$N$, high-$D$ setting is still unexplored and of great value, particularly as machine learning problems increasingly become high dimensional. In this paper, we introduce methods to achieve fully scalable Gaussian process regression with derivatives using variational inference. Analogous to the use of inducing values to sparsify the labels of a training set, we introduce the concept of inducing directional derivatives to sparsify the partial derivative information of a training set. This enables us to construct a variational posterior that incorporates derivative information but whose size depends neither on the full dataset size $N$ nor the full dimensionality $D$. We demonstrate the full scalability of our approach on a variety of tasks, ranging from a high dimensional stellarator fusion regression task to training graph convolutional neural networks on Pubmed using Bayesian optimization. Surprisingly, we find that our approach can improve regression performance even in settings where only label data is available.
Hybrid Classification Method for Sentiment Analysis

Sentiment Analysis is a computer-based approach of analysing opinions, sentiments and text subjectivity. Opinion Mining is the other name given to this approach. This approach follows the notion of emotion analysis expressed by peoples in careful way. In order to get opinionated data, websites are the best place. The proposed technique has various steps. This work is based on hybrid classification method for Sentiment Analysis. The performance of devised technique is examined with respect to some important metrics. The devised method performs better with regards to both of these metrics.
RANCANG BANGUN SISTEM INFORMASI CUSTOMER RELATIONSHIP MANAGEMENT (CRM) BERBASIS WEB PADA PT JALA LINTAS MEDIA

In a commercial company, customers are the target of providing goods and services by a company. Including PT Jala Lintas Media, which is a telecommunication service company, especially in the internet sector, that always puts customers first. Customer Relationship Management (CRM) information systems can be a solution to help manage customer data so that the quality of service to customers increases. Research conducted for seven months in 2020 on PT Jala Lintas Media resulted in a CRM information system built using the Waterfall method based on the results of the PIECES analysis on the running system. The proposed web-based system which has features such as data management and complaints will assist PT Jala Lintas Media in improving service quality. Thus it will provide more value to the relationship between the company and customers.Keywords: Information System, Customer Relationship Management, Customer
APLIKASI BICUBIC INTERPOLATION DAN HISTOGRAM EQUALIZATION DALAM PENINGKATAN KUALITAS VIDEO RESOLUSI RENDAH

Video media in general have a large file size where the quality and duration of the video is very influential on the size or small size of the video file. In the video that is currently circulating in the internet media, the images making up the video have experienced down sampling and compression so that they can be accessed at low bandwidths and save on storage media. To be able to get good video quality, the resolution of the video must be increased. Increasing video resolution can be done by upscaling the constituent frames of the video. One technique to increase the resolution of the video frame is the Bicubic Interpolation technique. Bicubic Interpolation technique is able to increase the image resolution or frame by generating additional pixels from the local arrangement of pixels from low resolution frames. To reduce the blurring results from increasing the previous resolution, sharpening techniques are needed that can be done using Histogram Equalization. Based on research that has been done, the combination of Histogram Equalization and Bicubic Interpolation in an effort to improve video quality at low resolution provides better contrast and lighting levels so that objects contained in the video can be seen clearly and better. But there are some disadvantages where bright areas will have excessive brightness and contrast.
HOW TO PRESENT AN ALGORITHM USING ICT?

This article substantiates the need for an in-depth study of the topic "Algorithms", as this requires from us the inexhaustible material and spiritual need of society. The etymological meaning of the term "algorithm" is explained. A number of scientists interpret this term in different ways. At the same time, the author of the article, unlike all researchers, divided his approach and substantiated it with specific examples. It was noted that human life consists entirely of automated algorithms. In this regard, reference was made to research scientists. The article provides information on presentation algorithms models. It was also noted that the approaches in this regard are ambiguous. The focus is on key models. Finally, practical examples were used to represent the algorithms. For this, reference was made to examples in a computer science textbook intended for Azerbaijani schools. At the end of the practical work, according to the presentation models of the algorithms, the students were divided into three groups and organized intergroup questions and answers. Finally, an assessment was made based on the results of the questions and answers.
The Organizational Vision of Resort Companies and their Impact on Job Satisfaction and Innovation Performance: The Mediating Effect of Job Satisfaction

This study aims to identify the relationship between the organizational vision of resort companies and the job satisfaction and innovation of workers and provide empirical data on the management performance strategy through the management of human resources of resort companies. The subjects of the study were 171 full-time employees of resort companies. The hypothesis verification was processed through Structural Equation Model Analysis (SEM), which resulted in the following conclusions: First, the organizational vision of resort companies has a positive impact on the job satisfaction of workers. Second, the organizational vision of resort companies does not affect the innovative performance of workers. Third, the job satisfaction of resort company workers has a positive impact on innovation performance. Fourth, job satisfaction of resort company employees had a mediating effect between organizational vision and innovation performance. Therefore, these results suggest that strategies for establishing the organizational vision of resort entities are important to ensure that workers are clearly aware of them.
What Should Teachers Do To Assist Students’ Concentration In Learning Process

The 3rd International Seminar on Higher Education ISBN: 978-623-90242-0-8Pekanbaru, November 3rd, 2018
reviewer 1,2; abdul haris s.; judul artikel:PERKEMBANGAN TEKNOLOGI DAN PENTINGNYA LITERASI INFORMASI UNTUK MENDUKUNG KETAHANAN NASIONAL

Technology makes it easy to get various information. Various sources can be easily accessed. The speed of providing up-to-date information on social media has become one of the necessities of late. Indirectly assist the dissemination of various information in Indonesia. Technological updates make no geographical barrier, norms, ethical boundaries, less visible. The various facilities offered will have a higher value if the truth of the information can be accounted for. On the other hand as a human being still has inherent human rights, as well as citizens. Therefore, in accessing, utilizing and disseminating various information obtained required a filter called information literacy. Anyone who has had information literacy does not easily disseminate information without first checking the truth. Distribution of various information that is correct and polite will make the recipient of information reasoning well so it is not easy to be hooked to do something unsettling. Thus, information literacy is essential to support national resistance.Keywords: technology, information literacy, national resistance.
Preserving high MT quality for content with inline tags

Attendees will learn about how we use machine translation to provide targeted, high MT quality for content with inline tags. We offer a new and innovative approach to inserting tags into the translated text in a way that reliably preserves their quality. This process can achieve better MT quality and lower costs, as it is MT-independent, and can be used for all languages, MT engines, and use cases.
The importance of Media Information Literacy in the context of a pandemic: an update proposal and new questions

This paper presents a review of the main postulates of Media Literacy, a proposal to update its main premises and objects of study, and a set of questions that seek to demonstrate the importance of Media Literacy in the educational context of the pandemic experienced in 2020. The article is organized into three sections: a review of Media Literacy as a disciplinary area that is increasingly gaining strength and relevance in the world, the Transmedia Literacies as a conceptual update that incorporates the diversity of current communicative practical media experiences, and some questions about the importance and current urgency in the context of a global pandemic of a number of contradictions and dualities on the intersection between communication and education.
A Standard Grammar for Temporal Logics on Finite Traces

The heterogeneity of tools that support temporal logic formulae poses several challenges in terms of interoperability. In particular, a standard syntax for temporal logic on finite traces, despite similar to the one for infinite traces, is currently missing. This document proposes a standard grammar for several temporal logic formalisms interpreted over finite traces, like Linear Temporal Logic (LTLf), Linear Dynamic Logic (LDLf), Pure-Past Linear Temporal Logic (PLTLf) and Pure-Past Linear Dynamic Logic (PLDLf).
Label Disentanglement in Partition-based Extreme Multilabel Classification

Partition-based methods are increasingly-used in extreme multi-label classification (XMC) problems due to their scalability to large output spaces (e.g., millions or more). However, existing methods partition the large label space into mutually exclusive clusters, which is sub-optimal when labels have multi-modality and rich semantics. For instance, the label Apple can be the fruit or the brand name, which leads to the following research question: can we disentangle these multi-modal labels with non-exclusive clustering tailored for downstream XMC tasks? In this paper, we show that the label assignment problem in partition-based XMC can be formulated as an optimization problem, with the objective of maximizing precision rates. This leads to an efficient algorithm to form flexible and overlapped label clusters, and a method that can alternatively optimizes the cluster assignments and the model parameters for partition-based XMC. Experimental results on synthetic and real datasets show that our method can successfully disentangle multi-modal labels, leading to state-of-the-art (SOTA) results on four XMC benchmarks.
Polysemy networks for English homonyms mapped onto Princeton WordNet: Constructed on the basis of sense chaining algorithms

This package contains polysemy graphs constructed on the basis of different sense chaining algorithms (representing different polysemy theories: prototype, exemplar and radial). The detailed description of all files is contained in the README.md file.
Open Rule Induction

Rules have a number of desirable properties. It is easy to understand, infer new knowledge, and communicate with other inference systems. One weakness of the previous rule induction systems is that they only find rules within a knowledge base (KB) and therefore cannot generalize to more open and complex real-world Recently, the language model (LM)-based rule generation are proposed to enhance the expressive power of the In this paper, we revisit the differences between KB-based rule induction and LM-based rule generation. We argue that, while KB-based methods inducted rules by discovering data commonalities, the current LM-based methods are learning rules from rules. This limits these methods to only produce canned rules whose patterns are constrained by the annotated rules, while discarding the rich expressive power of LMs for free text. Therefore, in this paper, we propose the open rule induction problem, which aims to induce open rules utilizing the knowledge in LMs. Besides, we propose the Orion (\underline{o}pen \underline{r}ule \underline{i}nducti\underline{on}) system to automatically mine open rules from LMs without supervision of annotated We conducted extensive experiments to verify the quality and quantity of the inducted open Surprisingly, when applying the open rules in downstream tasks (i.e. relation extraction), these automatically inducted rules even outperformed the manually annotated
THE EFFECTIVENESS OF ”GRAMMAR BAHASA INGGRIS” APPLICATION IN IMPROVING STUDENTS’ GRAMMAR

This study was done to find the effectiveness of Grammar Bahasa Inggris application in improving students’ grammar on simple present tense, which was observed and analyzed from grade ten students in SMK Darul Ulum Kuningan. The method used in this study was quantitative. The researcher took 16 students  to be a sample of this study using random sampling. The sampling in this study was two groups consist of eight students for experimental group and eight students for control group. Before giving treatment, the writer gave pre-test. After giving pre-test, students in experimental group are taught by Grammar Bahasa Inggris application and control group without it. Finally, Post-test is given after giving the treatment. Then, it was analyzed by using t- test. The result showed that t-test is higher than t-table,  t-test (t0) > t-table (tt) (2,48 > 2,145). It means that Ha is accepted while H0 is rejected is rejected. It can be summarized that there is significant different between students’ grammar using Grammar Bahasa Inggris application and without using Grammar Bahasa Inggris application. The writers concluded that using Grammar Bahasa Inggris is effective to improve students’ grammar specially on simple present.
MEDIA PEMBELAJARAN INTERAKTIF MENGGAMBAR KOMIK UNTUK PEMULA BERBASIS MACROMEDIA FLASH 8 PADA PIXEL DASH MEDAN

Pixel Dash Medan is an institution which conducts training in drawing illustration and comics, conventionally and digitally. At Pixel Dash Medan, students are tought by teacher using demostration method. It caused them less concentration in drawing and repeatly learning process because of the difference capabilities of every students. In the other side, teacher should give attention to all students personally. All of these process take a long time for students to learn. To solve this problem, Interactive Media in drawing comics for beginners is created which is presenting drawing lessons for student at beginning level.This application contains material in the form of video, audio, and image using Macromedia Flash.
LibGuides: Writing Resource Hub: Speech - Oral Communications Resources

Welcome to our online Writing Resource Hub where you'll find information that will help you ACE your writing assignment. Resources for students who need help with speech / oral communications.
Technological tools and best practices for conducting web surveys

Kevin Tharp currently serves as the associate director of research technologies at the Center for Survey Research (CSR), where he acts as senior SQL database developer and development programmer for web, telephone, and in-person surveys (CASES, Qualtrics, REDCap, etc.). Kevin has more than 25 years of experience at CSR.Lilian Yahng is the director of research and development at the Center for Survey Research (CSR) and its senior methodologist. Lilian has 10+ years of experience designing, conducting, and analyzing surveys at the CSR. Her research interests include measurement error, multimodal and responsive design, and nonresponse in complex designs. She is also the director of the CSR’s Research Lab.
Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach

We present models which complete missing text given transliterations of ancient Mesopotamian documents, originally written on cuneiform clay tablets (2500 BCE - 100 CE). Due to the tablets’ deterioration, scholars often rely on contextual cues to manually fill in missing parts in the text in a subjective and time-consuming process. We identify that this challenge can be formulated as a masked language modelling task, used mostly as a pretraining objective for contextualized language models. Following, we develop several architectures focusing on the Akkadian language, the lingua franca of the time. We find that despite data scarcity (1M tokens) we can achieve state of the art performance on missing tokens prediction (89% hit@5) using a greedy decoding scheme and pretraining on data from other languages and different time periods. Finally, we conduct human evaluations showing the applicability of our models in assisting experts to transcribe texts in extinct languages.
BANTUAN DANA CSR PT. DKN DALAM MERINGANKAN BEBAN DOP MAHASISWA PRODI S1 PBI UNUSA

Covid 19 that occurred in Indonesia added to the suffering of several students of the Undergraduate English Education Study Program at Nahdlatul Ulama University Surabaya (Unusa) who had a middle to lower economic background so that some students who were still active in college were unable to pay the odd semester DOP (Education Operational Fund) fee. 2020-2021 and there are even those who have tuition fees in the even semester of the 2019-2020 school year because the parents of these students are dismissed (layoffs) by their office. From these problems, we came up with an idea to help these students in easing their burdens in paying the DOP fee through the Corporate Social Responsibility (CSR) program of PT. Delima Kreasi Nusa (DKN) as a solution to these problems. With this program, students apply for an educational scholarship program that is funding for 1 (one) semester to pay for the DOP fee. In fact, students also receive pocket money. This program aims to help underprivileged students but high enthusiasm for studying. The method of this activity is a questionnaire (google form application) and observation (reality in the field). The collected files are sent to PT. DKN for processing by PT. DKN and approved by the director of the company. Then, CSR assistance funds (in the form of DOP and pocket money) are transferred to no. Unusa bank accounts and distributed to the seven students. The output of this activity is Difusi Ipteks Legowo Journal and report.
Improving Accuracy of Recommender Systems Using Social Network Information and Longitudinal Data

The rapid development of technology, the Internet, and the development of electronic commerce have led to the emergence of recommender systems. These systems will assist the users in finding and selecting their desired items. The accuracy of the advice in recommender systems is one of the main challenges of these systems. Regarding the fuzzy systems capabilities in determining the borders of user interests, it seems reasonable to combine it with social networks information and the factor of time. Hence, this study, for the first time, tries to assess the efficiency of the recommender systems by combining fuzzy logic, longitudinal data and social networks information such as tags, friendship, and membership in groups. And the impact of the proposed algorithm for improving the accuracy of recommender systems was studied by specifying the neighborhood and the border between the users’ preferences over time. The results revealed that using longitudinal data in social networks information in memory-based recommender systems improves the accuracy of these systems.
Locality Preserving Sentence Encoding.

Although researches on word embeddings have made great progress in recent years, many tasks in natural language processing are on the sentence level. Thus, it is essential to learn sentence embeddings. Recently, Sentence BERT (SBERT) is proposed to learn embeddings on the sentence level, and it uses the inner product (or, cosine similarity) to compute semantic similarity between sentences. However, this measurement cannot well describe the semantic structures among sentences. The reason is that sentences may lie on a manifold in the ambient space rather than distribute in an Euclidean space. Thus, cosine similarity cannot approximate distances on the manifold. To tackle the severe problem, we propose a novel sentence embedding method called Sentence BERT with Locality Preserving (SBERT-LP), which discovers the sentence submanifold from a high-dimensional space and yields a compact sentence representation subspace by locally preserving geometric structures of sentences. We compare the SBERT-LP with several existing sentence embedding approaches from three perspectives: sentence similarity, sentence classification and sentence clustering. Experimental results and case studies demonstrate that our method encodes sentences better in the sense of semantic structures.
Design and Implementation of “The Belt and Road Initiative” Immersive Interaction System Based on UE4+GIS Platform

"The Belt and Road Initiative " (B&R) is the abbreviation of the "Silk Road Economic Belt" and the "twenty-first Century Maritime Silk Road". In September and October of 2013, which is proposed by Chinese President Xi Jinping when he visiting Central Asia and Southeast Asia. With the acceleration of social development, people's demand for fast-paced affairs is higher and higher. The traditional way of presentation has been unable to full the needs of users, while the use of mobile phones, computers and other electronic terminals is rising, which promotes the rapid development of virtual reality technology and the possibility of transmission. This system takes “The Belt and Road Initiative” as the background, and takes the "road trip" as the theme. Through the planning and design of virtual technology exhibition hall and the reduction of scenes, the platform is built using C4D, 3Dsmax and other platforms. Using PS, PR and other platforms to complete the production of material mapping and display video; Using the UE4 as the main technology development platform, it will show one's "The Belt and Road Initiative " style to the experiencer. [1]
CONDUCTOR'S PROFESSIONAL ACTIVITY AS A PROCESS OF CREATIVE COMMUNICATION

Among the urgent and widely discussed problems at the present stage, a special place is occupied by the problem of improving education, improving its quality, achieving a high level of competitiveness in the modern labor market. This means that the education system is moving from a traditional focus solely on acquiring knowledge, skills and abilities more and more actively towards ensuring the broad competence of its graduates, from a knowledge paradigm to the creation of various options for educational and competence models that provide future specialists with the opportunity to freely navigate in a rapidly developing space. modern culture.