Reviewerly/exHarmony huggingface dataset:
New Information Policy In Library Science

The point of the investigation is to recognize issues in data strategy that were tended to in the writing. The examination was work area based including an assortment of auxiliary information from printed and electronic distributions. 24 papers from various analysts going from the year 1985 to 2007 were dissected. Record examination strategy was utilized to analyze issues tended to in the writing and accordingly a rundown of issues in the field of data strategy is created. Investigation shows that no standard order was acquired from the writing while the issue that was addresses by the majority of the analysts is admittance to data and a few issues like example law and advanced documenting were tended to by a solitary specialist. The point of the examination is to distinguish issues in data strategy that were tended to in the writing. The examination was work area based including an assortment of optional information from printed and electronic distributions. 24 papers from various analysts going from the year 1985 to 2007 were investigated. Report investigation strategy was utilized to analyze issues tended to in the writing and subsequently a rundown of issues in the field of data strategy is created. Investigation shows that no standard arrangement was gotten from the writing while the issue that was addresses by the greater part of the analysts is admittance to data and a few.
"Let's change road" By Edgar Morin, Raffaello Cortina, 2020

The coronavirus pandemic (Covid 19) will cause momentous changes in world history. Let's change road is the reflection of one of the greatest living philosophers who I had the honor of knowing, on the occasion of the awarding of an honorary degree by our University. The memory of this event is aroused by the reading of Morin's essay, which starts from a short biography: from the changes that occurred in his life to the hope of achieving happiness. A writing that reflects the current condition of the pursuit of happiness by humanity and in particular by the victims of this pandemic, who have been deprived of the last caress.
Turkish Dataset for Semantic Textual Similarity

Semantic textual similarity is the task of determining how similar two texts are. In this study, we present the first Turkish evaluation benchmark dataset for semantic textual similarity. We created the dataset by translating the English STS benchmark (STSb) dataset via Google Cloud Translation API and provided various benchmark results. We used Language- Agnostic SEntence Representations (LASER), Language-agnostic BERT Sentence Embedding (LaBSE), Multilingual Universal Sentence Encoder (MUSE) and pre-trained BERT/RoBERTa models to compute sentence embeddings. We also fine-tuned pretrained BERT/RoBERTa models to compute similarity scores. We further fine tuned pre-trained BERT/RoBERTa models with SBERT architecture. In our experimental designs, we used the Turkish natural language inference (NLI-TR) dataset as well. The model performances were computed by Pearson and Spearman's correlation coefficient between the predicted similarity scores and the gold labels. The best results were obtained by fine-tuning the BERTurk model first on NLI-TR dataset, then on the STSb-TR dataset.
Penerapan Digital Image Processing untuk Mendukung Kurikulum Abad 21 di Perguruan Tinggi Keagamaan Islam (PTKI)

Digital image processing has been in a fast progress and used in many fileds. The use of the digital image processing in Islamic universities has not been widely used but only used in some deparments such as Computer Engineering, Electronic Engineering, and Medical Faculty. Meanwhile, digital image processing can be used to develop Arabic study and Islamic manuscript research. In Islamic education, it can be used to develop Arabic study to identify certain texts such as isim, fiil and letters from image. And so is in Islamic manuscript research, digital image processing helps identifying certain fading text because of age. The objective of this study is to describe how to identify a text in Alquran digital image using processing software, digital image processing. Hopefully, this study can be used as a guidance for the following researches in language field and ancient Islamic manuscript in Islamic Universities. This study uses Normalized Cross Correlative methods. This method give correlation value between -1 until 1, where 1 indicate that two have same the exact same shape. This study use the word Allah in Alquran Utsmani as an object sample that will be detected. It uses Python language programming to apply the methods. The main library used here is OpenCV. The experiment has detected the text of the word Allah in Alquran image with 90% average of similarity. The application of Digital image processing can be used for Islamic studies, especially in Arabic study and Islamic manuscript research. The application of Digital Image Processing skill can support the development of the 21 st Curricullum in Islamic universities.
Advice for Manuscript Submission

Limnology and Oceanography BulletinVolume 30, Issue 3 p. 115-116 Community News Advice for Manuscript Submission Laura J. Falkenberg, laurafalkenberg@cuhk.edu.hk orcid.org/0000-0002-5868-2310 Simon F.S. Li Marine Science Laboratory, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong SAR, ChinaSearch for more papers by this author Laura J. Falkenberg, laurafalkenberg@cuhk.edu.hk orcid.org/0000-0002-5868-2310 Simon F.S. Li Marine Science Laboratory, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong SAR, ChinaSearch for more papers by this author First published: 20 July 2021 https://doi.org/10.1002/lob.10461Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume30, Issue3August 2021Pages 115-116 This article also appears in:ASLO’s Career Corner RelatedInformation
Learning to Learn with Gaussian Processes

This paper presents Gaussian process meta-learning (GPML) for few-shot regression, which explicitly exploits the distance between regression problems/tasks using a novel task kernel. It contrasts sharply with the popular metric-based meta-learning approach which is based on the distance between data inputs or their embeddings in the few-shot learning literature. Apart from the superior predictive performance by capturing the diversity of different tasks, GPML offers a set of representative tasks that are useful for understanding the task distribution. We empirically demonstrate the performance and interpretability of GPML in several few-shot regression problems involving a multimodal task distribution and real-world datasets.
Estrategias de enseñanza efectivas para los tiempos de y pospandemia

The COVID-19 pandemic has led to conventional educational programs continuing under the modality of remote teaching. For this, teachers must implement learning scenarios supported by computers and multimedia resources through the Internet. For this “new normality” to produce the expected learning outcomes, remote teaching should be designed and implemented based on the most solid knowledge about how people learn using multimedia resources. It entails the creation of dynamic and personalized learning environments that adjust to the cognitive characteristics of the students. This article insists in favor of an explicit, direct teaching approach adapted to the knowledge of the students. Following this, a set of strategies to implement a more effective and explicit remote teaching from the cognitive load theory, multimedia learning, and desirable difficulties, to foster adaptive learning environments that optimize the dual processing of multimedia and promote long-term learning.
THE EFFECTIVENESS OF USING NATURE ANIMAL DOCUMENTARY VIDEO ON STUDENT’S ABILITY IN LEARNING VOCABULARY AT ELEVENTH GRADE

The aim of this research is to find out the effect of using nature animal documentary video on students’ ability in Learning Vocabulary at tenth grade students of Mas Darul Qura’an Amplas. In this research, the researcher use the quantitative research with the a quasi-exprimental design.The sample of the research was 50 students. There are 25 students from MIA-2 as exprimental class and there are 25 students from IIS-1 as control class. The writer teach the experimental group by using nature animal documentary video and the control class without using nature animal documentary video. In control class, the researcher used the media ppt. The result of the research was significant with the average scores of exprimental class were 55,6 for the pre-test and 81 for the post-test, then the average scores for the control class were 53,4 for the pre-test and 74,8 for the post-test. The researcher found that the mean scores in the exprimental class was higher than the control class scores (81> 74,8). The t-test results also shows that t-observed (2,8) was higher than t- table at a significance level of 5% (0,05) with 48 degrees of freedom of 2,063. The result of the calculation showed that the statistic data of both showed that t-observed was higher than t-table (2,8 > 2,063 p = 0.05). It means that Null Hypothesis (Ho) was rejected and Alternative Hypothesis (Ha) was accepted. The calculation was showed that there is a significant effect of using animal documentary video on student’s ability in learning vocabulary. Keywords : Vocabulary, Student’s Ability and Nature Animal Documentary Video.
Task-aware waypoint sampling for planning robots

To achieve a complex task, a robot often needs to navigate in a physical space to complete activities in different locations. For example, it may need to inspect several structures, making multiple observations of each structure from different perspectives. Typically, the positions from which these activities can be performed are represented as waypoints – discrete positions that are sampled from the continuous physical space. Existing approaches to waypoint selection either iteratively consider the entire space or each activity separately, which can lead to task planning problems that are more complex than is necessary or to plans of compromised quality. We offer an approach that produces more efficient plans by performing a one-time computation of the connectivity graph and by prioritizing waypoints from which multiple activities can be performed. In addition, we support user specified performance preferences that represent preferences a system operator may have about the generated task plan but that cannot be directly represented in the map used for navigation, such as areas near doorways where it is preferable that the robot does not stop to perform activities. We demonstrate the performance benefits of our approach on simulated manufacturing tasks in an automated factory.
Application of the "Intelligent Guessing" Method to Optimize the Ability to Read English of State Junior High School in Tuban, East Java, Indonesia

The purpose of this study is to improve students' ability to understand English discourse through effective interpretation of word meanings where students do not need to continually open dictionaries but by using analysis through interpretation of basic sentences in English. The method used in this study is by comparison. Data were collected through questionnaires, observations, interviews, and student progress sheets. The results of this study indicate that the intelligent guessing method can increase the percentage of student's mastery of English vocabulary by 17%. So this method makes it easier for students to understand English discourse.
Virtualidad crítica en el aula universitaria en la pandemia (y más allá)

This document aims to return to the reactions and difficulties of approach, in the pandemic, to the training processes mediated by virtuality at the University of Costa Rica. In the midst of uncertainty, one of the teachers' reactions was the rejection of remote teaching modalities; Therefore, it is intended to show two positive aspects of the use of virtual platforms in training: accessibility and the promotion of student self-regulation. Because of the newness and novelty of the situation, the search will use the experience and personal position.
The Expressive Power of One Variable Used Once: The Chomsky Hierarchy and First-Order Monadic Constructor Rewriting.

We study the implicit computational complexity of constructor term rewriting systems where every function and constructor symbol is unary or nullary. Surprisingly, adding simple and natural constraints to rule formation yields classes of systems that accept exactly the four classes of languages in the Chomsky hierarchy.
Isle of reflections

Isle of Reflections is an interactive lighting installation that can only be remotely explored via videotelephony. Viewers visit the island filled with iridescent lights and colorful reflections through Zoom, a popular web-based video communication tool. When the viewers see the lights and shadows that respond immediately to their voice through the screen, they recognize that they are interacting with a distant physical space in real-time. The viewers move between "breakout rooms" in Zoom to explore this virtual island filled with an immersive spectrum of light and color. Each room provides live scenes of the island from different viewing angles.
Advances in photonic neural networks (Conference Presentation)

Photonic neural networks (PNN) are a promising alternative to electronic GPUs to perform machine-learning tasks. The PNNs value proposition originates from i) near-zero energy consumption for vector matrix multiplication once trained, ii) 10-100 ps short interconnect delays, iii) weak required optical nonlinearity to be provided via fJ/bit efficient emerging electrooptic devices. Furthermore, photonic integrated circuits (PIC) offer high data bandwidth at low latency, with competitive footprints and synergies to microelectronics architectures such as foundry access. This talk discusses recent advances in photonic neuromorphic networks and provides a vision for photonic information processors. Details include, 1) a comparison of compute performance technologies with respect to compute efficiency (i.e. MAC/J) and compute speed (i.e. MAC/s), 2) a discussion of photonic neurons, i.e. perceptrons, 3) architectural network implementations, 4) a broadcast-and-weight protocol, 5) nonlinear activation functions provided via electro-optic modulation, and 6) experimental demonstrations of early-stage prototypes. The talk will open up answering why neural networks are of interest, and concludes with an application regime of PNN processors which reside in deep-learning, nonlinear optimization, and real-time processing. Photonic neural networks (PNN) are a promising alternative to electronic GPUs to perform machine-learning tasks. The PNNs value proposition originates from i) near-zero energy consumption for vector matrix multiplication once trained, ii) 10-100 ps short interconnect delays, iii) weak required optical nonlinearity to be provided via fJ/bit efficient emerging electrooptic devices. Furthermore, photonic integrated circuits (PIC) offer high data bandwidth at low latency, with competitive footprints and synergies to microelectronics architectures such as foundry access. This talk discusses recent advances in photonic neuromorphic networks and provides a vision for photonic information processors. Details include, 1) a comparison of compute performance technologies with respect to compute efficiency (i.e. MAC/J) and compute speed (i.e. MAC/s), 2) a discussion of photonic neurons, i.e. perceptrons, 3) architectural network implementations, 4) a broadcast-and-weight protocol, 5) nonlinear activation functions provided via electro-optic modulation, and 6) experimental demonstrations of early-stage prototypes. The talk will open up answering why neural networks are of interest, and concludes with an application regime of PNN processors which reside in deep-learning, nonlinear optimization, and real-time processing.
LEARNING ENGLISH IN NON-FORMAL EDUCATION IN INDONESIA: A LITERATURE REVIEW

The study's goal was to critically examine the practice of foreign language, particularly English, which was largely underpaid for the cultural accretion that came with it, and to find ways to raise awareness of English's importance without eradicating cultural norms, resulting in a society of good character. They also help us understand how we can improve our national competitiveness in the face of globalization, where English is the language of unity or regional language. The author hopes that readers will be able to understand our own foreign and cultural cultures, particularly in Indonesia, through English studies to support character education.
Type-Directed Operational Semantics for Gradual Typing (Artifact)

This artifact includes the Coq formalization associated with the paper Type-Directed Operational Semantics for Gradual Typing submitted in ECOOP 2021. The paper illustrates how to employ TDOS on gradually typed languages using two calculi. The first calculus, called λB, is inspired by the semantics of the blame calculus(λB^g) and is sound with λB^g. The second calculus, called λB^r, explores a different design space in the semantics of gradually typed languages. This document explains how to run the Coq formalization. Artifact can either be compiled in the pre-built docker image with all the dependencies installed or it could be built from the scratch. Sections 1-7 explain the basic information about the artifact. Section 7 explains how to get the docker image for the artifact. Section 8 explains the prerequisites and the steps to run coq files from scratch. Section 9 explains coq files briefly. Section 10 shows the correspondence of important lemmas, definitions and pictures discussed in the paper with their respective Coq formalization.
Implementation of High Speed and Lightweight Symmetric Key Encryption algorithm Based Authentication Protocol for Resource-Constrained Devices

Encryption and decryption is accomplished by means of software or hardware, and has been in continuous usage since the 2000s for data encryption using any communication medium. A modern authentication algorithm is introduced based on the AES algorithmic program and SHA algorithms to encrypt information for encrypted communication with improved security features. SHA shall be applied at the same time as the AES mechanism for secrecy, reliability and honesty checks. The core concept of algorithmic application is to achieve a high degree of data protection by integrating SHA and AES algorithmic programs in software and hardware. Both transmitter and receiver sections are included in the proposed model to safely send and receive data. It has been developed using Xilinx ISE 14.2, so that the parameters of the proposed algorithmic program can be compared with various different FPGAs and then further comparison of parameters along with DES algorithm may lead to satisfactory results.
Innovative Notation System for Effective Reading and Thinking Strategy in Covid 19 Learning and Teaching Pandemonium

Encouraging reading to the students who have the opportunity to do so, and shaping on providing educational support to those who do not, we can take small, yet impactful, steps towards combatting illiteracy during this Covid 19 pandemonium through Innovative Notation System For Effective Reading And Thinking .Therefore, the main objective of this study was to find out whether or not there was significant difference of students' reading in narrative texts taught by using Innovative Notation System For Effective Reading and Thinking Strategy and taught without using the strategy.The method of the research that was used in this study was a quasi-experimental design.The population of this study was all of the eighth grade students of State Junior High School 1 Palembang in the academic year of 2019/2020 with the total 251 students.The sample was 60 students divided into two groups they were experimental and control group.The sample was taken by using purposive sampling.The data were collected by written test.The test was given from multiple-choice that consisted of 40 test items and analyzed by using independent sample t-test formula.The result shows that the level with df 29 (30-1) was 1.671 and t-obtained 6.27.It means that t-obtained was higher than t-table 1.671 as critical value.Consequently, the alternative hypothesis (Ha) was accepted and null hypothesis (Ho) was rejected.
HEDGES AND BOOSTERS ON COVID19.GO.ID:A STUDY OF DOUBTS AND CERTAINTY IN EDUCATIONAL CONTENT (HEDGES DAN BOOSTERS DALAM LAMAN COVID19.GO.ID: KAJIAN TENTANG KERAGUAN DAN KEYAKINAN DALAM KONTEN EDUKATIF)

During the Covid-19 pandemic, many writings with educational content were produced. To state his position on facts or opinions, the writer needs to pay attention to the selection of hedges and boosters in accordance with the context. Based on 420 educational content presented on the Covid19.go.id, this study describes the forms and functions of hedges and boosters. This research was conducted in five steps, namely careful reading, recording the forms on data cards, data categorization, data analysis, and conclusion. The results are as follows. The Covid.19.go.id has more boosters than hedges. The most widely used forms of expression, both hedges and boosters, are epistemic adjectives and adverbs. The functions of hedges in educational content are to show uncertainty, avoid confrontation, show politeness, persuade, and provide alternative choices to readers. Meanwhile, boosters have functions to show a strong commitment, show information reliability, and close opportunities for negotiation between writers and readers.
2D and 3D proximity maps for major and minor keys and chords

Minor and major keys/chords are arranged along the joint subdominant-dominant axis. For this purpose, the relative minor for a major tonic (e.g. Am regarding C major) is put between the tonic and its subdominant (F), being interpreted as the ‘semi-subdominant’. Correspondingly, the relative major for a minor key (C for Am) is called its ‘semi-dominant’. Thereby, two axes of fifths for major and minor keys are merged into one. To reflect the proximity of other types of key/chord relations (parallel major-minor keys, major dominants in minor keys and minor subdominants in major keys), this axis is closed by analogy with the circle of fifths and twisted, as if wrapping a torus. The torus unfolded results in a key/chord proximity map. Due to using the subdominant-dominant axis, it is free from inconsistencies inherent in some known maps.
Impact of Organization Culture on Knowledge Management

In Today’s competitive market the organizations are frequently cope with the changing needs of the market as well as regulate the way to have a good learning process. To enhance the constancy situation of the firm, the organization has a great approach towards Knowledge management. For the firm to have this approach, a suitable organization culture should be adopted for this arrangement. To prior this things, different studies confirm that the firm’s executives and their managing capabilities should given higher importance. As well as the strategy of the organization should develop in a planned way to get stability in the market. The main aim of this study is to focus the culture and Knowledge management of the organization through the Denison model. With the help of Conrad and Newman model it would help to investigate the process of KM and their effectiveness on the organization through culture. A relationship between culture and KM has been developed from the review of literature and suitable suggestions have been offered concern with the effect of culture on KM.