Reviewerly/exHarmony huggingface dataset:
Species Gastropoda di Rawa Nipah Korong Gantiang Tangah Padang Kecamatan Ulakan Tapakis Kabupaten Padang Pariaman

Nypa sp. grouped into mangrove forest plants as habitat for the Gastropoda. Gastropoda in this region are taken indefinitely by the public for consumption andsale so that rhy can influence the presence of these animal species. Based on the problems raised, a study was conducted with the aim of finding out the species of Gastropoda found in Rawa Nipah and knowing the physical chemical factors of the water that can affect the life of a Gastropoda. This research was conducted in June 2019 using purposive sampling method. The result found 7 species of Gatropoda namely Vittina turrita I, Vittina turrita II, Neritodryas dubia, Nerita polita, Cerithidea cingulate, Cassidula aurisfelis, and Ellobium aurisjudae. The physical and chemical environmental factor of water in Rawa Nipah Korong Gantiang Tangah Padang still support the existence of Gastropoda.
OV: Validity-based Optimistic Smart Contracts

Smart contract (SC) platforms form blocks of transactions into a chain and execute them via user-defined smart contracts. In conventional platforms like Bitcoin and Ethereum, the transactions within a block are executed \emph{sequentially} by the miner and are then validated \emph{sequentially} by the validators to reach consensus about the final state of the block. In order to leverage the advances of multicores, this paper explores the next generation of smart contract platforms that enables concurrent execution of such contracts. Reasoning about the validity of the object states is challenging in concurrent smart contracts. We examine a programming model to support \emph{optimistic} execution of SCTs. We introduce a novel programming language, so-called OV, and a Solidity API to ease programing of optimistic smart contracts. OV language together with static checking will help reasoning about a crucial property of optimistically executed smart contracts -- the validity of object states in trustless systems.
Spin Chains, Graphs and State Revival

Connections between the 1-excitation dynamics of spin lattices and quantum walks on graphs will be surveyed. Attention will be paid to perfect state transfer (PST) and fractional revival (FR) as well as to the role played by orthogonal polynomials in the study of these phenomena. Included is a discussion of the ordered Hamming scheme, its relation to multivariate Krawtchouk polynomials of the Tratnik type, the exploration of quantum walks on graphs of this association scheme and their projection to spin lattices with PST and FR.
White, Margaret Isabel - Biographical entry - Index to the AMA archive

White, Margaret Isabel - Biographical entry - Index to the AMA archive - NAME is a biographical, bibliographical and archival database of SUBJECT with links to related articles and images. ADD MORE DESCRIPTION AS REQUIRED
UIDBA: Unique Identity & Biometric Based Architecture for E-governance Solutions

In order to replace existing business processes within Governments with transparent and accountable technology driven transactions, implementation of Digital Signing technology is imperative. Absence of digital signing during Government transactions will make such transactions repudiable, thus making it difficult to fix accountability. In spite of the fact that digital signing is an essential requirement for implementation of any e-governance solution, its use in large-scale Government information and communications technology (ICT) implementations is negligible. We did a study of a popular financial management information system (FMIS) in India, to identify the reasons behind such low level acceptance of digital signing technology in Government ICT implementations. This paper is a culmination of the results yielded by our study and a solution derived for it. This paper proposes an architecture, which focus on fingerprint driven digital signing, using Aadhaar Authentication API provided by The Unique Identification Authority of India (UIDAI).
Slovenian parliamentary corpus (1990-2018) siParl 2.0

The siParl corpus contains minutes of the Assembly of the Republic of Slovenia for 11th legislative period 1990-1992, minutes of the National Assembly of the Republic of Slovenia from the 1st to the 7th legislative period 1992-2018, minutes of the working bodies of the National Assembly of the Republic of Slovenia from the 2nd to the 7th legislative period 1996-2018, and minutes of the Council of the President of the National Assembly from the 2nd to the 7th legislative period 1996-2018. The corpus comprises over 10 thousand sessions, one million speeches or 200 million words. The corpus contains meta-data about the speakers, a typology of sessions etc. and structural, editorial and linguistic annotations. The corpus is encoded according to the Parla-CLARIN schema (https://github.com/clarin-eric/parla-clarin). Each mandate is in one directory, and each session in one file.This item comprises the following datasets: 1. source DARAH-SI Parla-CLARIN encoded corpus; 2. linguistically annotatated Parla-CLARIN encoded corpus: tokenisation, MSD tagging, lemmatisation, Universal Dependencies features and syntactic parses, named entities;3. linguisticaly annotated corpus in vertical format used by CWB and Sketch Engine concordancers; this format is simpler and smaller but does not contain all the information from the source TEI;4. linguisticaly annotated corpus in CONLL-U format as used by Universal Dependencies5. plain text of the corpusNote that each dataset also includes TSV meta-data files on sessions (files) and speakers.As opposed to the previous version 1.0, this version corrects many errors, has substantially better meta-data and the linguistic processing has more levels and less errors.
Website: Online Resources (during COVID-19): Temporary Resources (during COVID-19)

Links for temporarily accessible electronic resources during COVID-19 crisis. Guide with links to many temporarily accessible electronic resources (during the COVID-19 crisis).
A Brief Survey of Data Pricing for Machine Learning

Big data and machine learning are poised to revolutionize the field of artificial intelligence and represent a step towards building an intelligent society.Big data is considered to be the key to unlocking the next great waves of growth in productivity, the value of data is realized through machine learning.In this survey, we begin with an introduction to the general field of data pricing and distributed machine learning then progress to the main streams of data pricing and mechanism design methods.Our survey will cover several current areas of research within the field of data pricing, including the incentive mechanism design for federated learning, reinforcement learning, auction, crowdsourcing, and blockchain, especially, focus on reward function for machine learning and payment scheme.In parallel, we highlight the pricing scheme in data transactions, focusing on data evaluation via distributed machine learning.To conclude, we discuss some research challenges and future directions of data pricing for machine learning.
DEVELOPMENT OF ARTIFICIAL NEURAL NETWORK STRUCTURES FOR PREDICTING NAVIGATION TASKS OF A MOBILE ROBOT

Determining trajectories in mobile robot navigation tasks is a difficult process to apply with conventional methods. Therefore, intelligent techniques produce highly effective results in trajectory optimization and orientation prediction. In this study, two different ANN (Artificial Neural Network) structures have been developed for the navigation prediction of the SCITOS G5 mobile robot. For this aim, RBF (Radial Basis Function) and MLP (Multi-Layer Perceptron) structures were used. Information obtained from 24 sensors of the robot was used as network inputs and network output determines robot direction. Accordingly, structures that have 24 inputs and one output were created. The best performance network structures obtained were compared among them in simulation environment. Accordingly, RBF has been observed to produce more accurate results than MLP.
Outdoor Education: A Contextual English Learning Activity to Improve Writing Ability of Young Adolescents

This paper reports an implementation of Outdoor Education as a contextual learning activity to improve the writing ability of young adolescents.It aims at (1) investigating how Outdoor Education is implemented in teaching English to young adolescents to improve their writing ability; (2) identifying the challenges faced by the teacher during the implementation; (3) finding strategies to overcome the challenges.A Classroom Action Research was employed as a research design that took 2 (two) cycles and each of those was divided into four phases namely Planning, Acting, Observing, and Reflecting.Moreover, the data were collected through three instruments, namely observation, interview with the students, and document analysis in the form of students' descriptive writings.The result of the study reveals that Outdoor Education has successfully improved the students' ability in writing descriptive text since they understand the linguistic features, content, and context of the text.It is proved from comparing the results of Pre-writing and final writing found in the second cycle shows some improvements especially in their varied vocabularies, correct grammar and their better score (from an average score of 56.16 to 80.17).However, the teacher found some challenges to implement it since the young adolescent students seemed to spend the time inefficiently.To overcome this, the teacher gave clear briefings before doing this activity and asked them to look up their dictionary for some unfamiliar words, so that they could finish their descriptive writing.
Gatherings of an Infovore: Who deserves CRediT?

CRT = Contributor Roles Taxonomy The need for a way to define how an individual participated during a project and the record of that project’s results is a relatively recent discussion among the research and publishing communities. For hundreds of years, authors of journal articles were listed in the order dictated by the publication. In the early years of science, first authors in a list could be the lead researcher, principal investigator, department head, or some other supervisory role depending on the style of the journal. As the number of members in a project team increased in certain disciplines, the first author could be the corresponding author (the person responsible for submitting the paper, available for requests on the review and publishing processes, and dealing with any queries subsequent to publication), and the last author might be the overall supervisor of the project. But no matter the order, exactly what an individual did for the project (before, during, or after) wasn’t apparent in the author list, or seldom anywhere else in the article. By the start of the 21st century, stakeholders desiring increased transparency and accessibility of reported results—researchers, funding agencies, academic institutions, editors, and publishers—came to recognize the usefulness of a taxonomic approach. According to the Consortia Advancing Standards in Research Administration Information (CASRAI) project website “[i]n mid-2012 the Wellcome Trust and Harvard University co-hosted a workshop to bring together members of the academic, publishing, and funder communities interested in exploring alternative contributorship and attribution models.” In brief, the roles are […]
Interpretation of laylatulqadr time by analyzing earthquake data

Abstract This study aims to determine the time of the laylatulqadr events that have passed, not to predict the time of the laylatulqadr events that will come. The determination of laylatulqadr time was done by analyzing earthquake data. The study was conducted in the month of Ramadan in 1421 H, 1423 H, 1425 H, 1429 H and 1432 H. The earthquake data was collected started from 6:00 PM to 6:00 PM for 30 days in the month of Ramadan. Earthquake data analyzed by observing the quantity and quality of the earthquake. The interpretation results showed that lalilatulqadr in 1421 H occurred on the second night of Ramadan month. In 1423 H, laylatulqadr happened on the seventeenth night in the month of Ramdhan. In 1425 H, laylatulqadr occurred on the sixteenth night of Ramadan month. While in 1429 H, laylatulqadr happened on the night of the twenty-eighth of Ramadan month. And in 1432 H, laylatulqadr occurred on the twenty- ninth night of Ramadan month.
Spatio-temporal activity in cortical network during cognitive activity

It is known that brain performs cognitive functions through the activation of a distributed cortical network, which includes remote cortical regions. With this in mind we have analyzed the spatio-temporal cortical activity based on multichannel EEG recordings during accomplishing cognitive task. As the result, we have revealed typical spatio-temporal structures related to the different levels of cognitive task complexity.
Online Optical Shop Application

The ordering and purchasing system of eyeglasses at Mandarin Optical Pringsewu is still done manually, so the customers must come directly to the optic to make transactions. It makes the Mandarin Optical Pringsewu difficult to get many customers who come from outside the city. Therefore, the web application is considered suitable to be implemented, in addition to facilitate the purchase process, it can also be used as a promotional tool. This system has the main characteristics of implementing the SDLC (System Development Life Cycle) methodology.This website is divided into two parts, namely administratorand customer.Administrator is used to control the system that has been created, while the customer is made so that the customers can do the online order and purchase. From the results of the questionnaire that has been collected, it can be concluded that the information system website application on Mandarin Optical Pringsewu has been able to meet the needs properly, and has quite complete features.
Survey of Whether Blockchain Can Replace Other Online-Payment

In December 2017, a South Korean Bitcoin Exchange center suffered from a serious cyber-attack and went bankrupt. This news raises us a question, if blockchain is a safe mechanism to store our money. However, after doing research about this cyber-attack, we know that the hacker did not break the blockchain it-self, the hackers only cracked the exchange center instead. We then use blockchain to compare the security with other online-payment such as PayPal. After analyzing their behavior under the injection attack and a DDoS attack, we get a conclusion that blockchain can effectively defend those two attacks because of its immutable and distributed characteristic. However, even if blockchain is safe currently, there is a risk in the future from quantum computing. According to Divesh Aggarwal, the computing speed will significantly rise within 10 years, this means blockchain's encrypted signature might not be safe. Therefore, we propose a technique that might improve the complexity of blockchain encryption by combining the Geoencryption and SHA- 256 approach.
Analysis of Teacher Training Policies in Korea from the Historical Neo-Institutionalist Perspective: Focusing on 2010-2019

이 연구는 교원의 전문성을 개발하고자 하는 국가 주도 교원 연수 정책이 끊임없는 개선 요구에도 불구하고 본질적인 해결책과 개선 방안을 제시하지 못하는 원인과 그에 대한 시사점을 찾기 위해 국가 주도 교원 연수의 변천 과정과 특성을 분석하는 것을 목적으로 한다. 즉, 역사적 신제도주의 관점에서 국가 주도적인 교원연수가 어떠한 정책적 목표와 교원의 전문성에 대한 이해를 바탕으로 제도화되었으며, 그 과정에서 작용한 구조, 제도, 행위자 수준의 상호작용을 통합적으로 분석하고자 하였다. 분석 결과, 우리나라의 교원 연수 정책은 정책 도입기(해방이후~1990), 정책 정착기(1991~1999), 양적 확산기(2000~2009), 질 관리기(2010~2019)로 나누어 연수 정책이 점진적으로 변화하였으며, 이러한 형태가 경로 진화의 모습으로 가겹(layering)의 양상을 띠고 있음을 알 수 있었다. 또한, 교원 연수 정책이 정착한 이후를 질 관리기로 삼아 교원능력평가 및 교원연수원평가 제도의 도입을 통한 정책 내실화를 위한 질 관리기(2010~2013)와 연수 내용 및 방법의 다양성과 교사학습에 대한 공동체적 접근이 확대된 교원 역량 강화를 위한 질 관리기(2014~2019)로 구분하였다. 분석 결과를 바탕으로 볼 때, 향후 교원 연수 정책이 교사들의 요구와 필요를 반영하여 발전한다면, 정책적 노력의 효과와 함께 수요자 중심의 제도가 마련될 수 있는 가능성을 보여준다. 다만 이를 위해서는 교육부에서 단위학교까지 연계되는 체계적 지원 체제를 구축하고, 교사의 전문성 개발과 함께 교사의 자기주도적 수업 역량 제고를 위한 교사들의 참여를 제고해야 할 것이다.This study examines the changing process and characteristics of state-led teacher training in order to analyze the causes and implications of the state-led teacher training policy, which seeks to develop the professionalism of teachers but unable to suggest fundamental solutions and improvement measures, despite the constant demand for improvement. From the perspective of historical neo-institutionalism, this study attempts to analyze the policy objectives and the teacher professionalism underpinning the institutionalization of state-led teacher training and interactions in the structure, institution, and actor-level. The results show that the teacher training policy in Korea went through a gradual change from the policy introduction period (1945-1990), policy settlement period (1991-1999), and quantitative expansion period (2000-2009) to quality management period (2010-2019). In addition, it is argued that the change took the form of layering as a pattern of path evolution. In this study, the quality management period is divided into two periods: first, the quality management period for policy internalization (2010-2013), with the introduction of the teacher evaluation for professional development and evaluation of teacher training institutions. Second, the quality management period for teachers’ capacity-building (2014-2019), with increased diversity in training contents and methods and community approach to teacher learning. Based on the results of the analysis, it is suggested that there is a possibility for establishing a consumer-centered system with enhanced policy outcomes if teachers’ training needs are reflected in the gradual change of the teacher training policy. To this end, however, it is necessary to establish a systematic support system linking Ministry of Education and schools, and to enhance teachers’ participation in their own professional development and instructional capacity-building.
Stacked Convolutional Deep Encoding Network for Video-Text Retrieval

Existing dominant approaches for cross-modal video-text retrieval task are to learn a joint embedding space to measure the cross-modal similarity. However, these methods rarely explore long-range dependency inside video frames or textual words leading to insufficient textual and visual details. In this paper, we propose a stacked convolutional deep encoding network for video-text retrieval task, which considers to simultaneously encode long-range and short-range dependency in the videos and texts. Specifically, a multi-scale dilated convolutional (MSDC) block within our approach is able to encode short-range temporal cues between video frames or text words by adopting different scales of kernel size and dilation size of convolutional layer. A stacked structure is designed to expand the receptive fields by repeatedly adopting the MSDC block, which further captures the long-range relations between these cues. Moreover, to obtain more robust textual representations, we fully utilize the powerful language model named Transformer in two stages: pretraining phrase and fine-tuning phrase. Extensive experiments on two different benchmark datasets (MSR-VTT, MSVD) show that our proposed method outperforms other state-of-the-art approaches.
Session-Based Path Prediction by Combining Local and Global Content Preferences

Session-based future page prediction is important for online web experiences to understand user behavior, pre-fetching future content, and for creating future experiences for users. While webpages visited by the user in the current session capture the users' local preferences, in this work, we show how the global content preferences at the given instant can assist in this task. We present DRS-LaG, a Deep Reinforcement Learning System, based on Local and Global preferences. We capture these global content preferences by tracking a key analytics KPI, the number of views. The problem is formulated using an agent which predicts the next page to be visited by the user, based on the historic webpage content and analytics. In an offline setting, we show how the model can be used for predicting the next webpage that the user visits. The online evaluation shows how this framework can be deployed on a website for dynamic adaptation of web experiences, based on both local and global preferences.
Ecoprint yang Menyejukkan

Natural leaves pattern always offers more attractive charm than printed patternwith fabricated colors. Eventough natural colors have less intensity than fabricatedones, they still has elegant taste. Ecoprint takes natural leaves shapes as the shapingand colouring medium. Natural color was obtained from leaves, flowers, woodchuck pigments. Ecoprint textiles ensured safety to whoever wore them. Not justfrom natural feeling, but added with pastel colors which soothe the soul.Ecoprint needs different treatment for each leaf type, because each has specificpigmentation. Experiment and exploration on the various pigments treatment ontextile, mordanting and fixation.All of those process is an ongoing enrichment process for our cultural artefacts.Human made cultural artefacts should put distance between human and nature.Without nature, cultural artefacts could not be created.This art piece used common products found in market. This piece is a reminder forus to get closer to nature through touch, colors, shapes, sounds and memory.
An Outline of Receiver Device Or Gesture Device Components

In the new era of computer science & language technology, Signal acknowledgement is a varied topic with the aim of taking human motions through mathematical algorithms. Signals can create from any physical motion or state then commonly initiate from the face or hand. Present emphases in the field comprise emotion acknowledgment from the face and hand motion response. Various methods have been completed using cameras and computer vision algorithms to understand sign language. Nevertheless, the sympathy and gratitude of pose, gait, proxemics, and humanoid performances is also the matter of signal acknowledgment methods. Signal acknowledgment can be understood as a way for computers to create to realize human body language, so constructing a comfortable bridge among machines and humans than original text operator interfaces before even GUIs (graphical user interfaces),that is still in the limit the popular of input to keyboard and mouse.  Keywords— Graphical User Interface, sign language, motion response,decoder,microcontroller,actuator.
A MLP-Based Skin Segmentation Method for Fingertip Recognition

The designing of Gesture-Controlled Systems (GCS) has been an important research topic in the field of Human-Computer Interaction (HCI). To such systems it is indispensable to segment the hand and the background, and the result of segmentation will affect the fingertip recognition. In this paper, we try to segment the finger skin by restraining the noise that interfering detection for fingertips and lowering the sensitivity to the illuminance. We propose a thresholding solution in multi-color space in order to restrain the noise from the palm skin, and in RGB color space we apply multilayer perceptron (MLP) into the segmentation of fingertip skin. We evaluate the performance of our solutions by applying them into the application of Virtual Keyboard. The experimental results show that MLP performs well in suppressing noise and tolerating changes in illumination.
LibGuides: A GUIDE during the COVID-19 Situation: for Instructors and Administrators

REGULARLY UPDATED! A clearinghouse for information, and links to updated information, from reliable government and university sources campus collaboration, literacies, library use, resources