Reviewerly/exHarmony huggingface dataset:
Penerapan Metode The Extended Promethee II (EXPROM II) Dalam Pemilihan Pengangkatan Karyawan Baru Terhadap Mahasiswa Magang

Apprenticeship students are students who work and study directly at one of the companies they occupy according to the major they take, students who have done an apprenticeship and do a very good job at one of the companies will usually be proposed to be employees of the company, many students and from various universities participating in a company with the same department and in the selection must be done in a fair manner based on appropriate criteria and not based on who has family relations in a company, therefore it is necessary to make a selection involving a system, namely a decision support system where this system uses the extended promethee II method, this method is used to accumulate every value that each student candidate has that is supported by the company to become an employee, the results of the application of this method are king with the highest score who is the best candidate
E-Office Application Design for Correspondence Administration in College: Towards a New Normal Era

Abstract. The Covid-19 pandemic has hit the world in various sectors, including the education sector. Higher education in colleges is forced to implement online learning and forces staff to do Work from Home (WFH). This sudden policy change must have affected the quality of their work. Some systems, including the correspondence administration system, are no longer effective and efficient. Some incoming and outgoing mail is sometimes late to its destination and also becomes difficult to archive. Likewise, the system of letter registration and disposition has become very ineffective. This condition prompted us to design an E-Office application, which is expected to streamline the correspondence administration system. This design was carried out at the Faculty of Language and Literature at Universitas Negeri Makassar (Fakultas Bahasa dan Sastra in Indonesian or FBS-UNM in short) as a sample case. This research was conducted with a Research and Development (R&D) model with a qualitative-descriptive research type. This study produces a research product in the form of an E-Office application for correspondence administration and shows the application's feasibility analysis results. Based on interviews conducted with 25 samples at FBS UNM, there is an opinion that this application is effective and efficient in supporting the quality of office systems and services at the college level. These results can be seen from the interview results, which show that 87% of respondents said that this application makes their work easier and faster. Keywords: E-Office application, correspondence administration, new normal era
Lexical Strata and Phonotactic Perplexity Minimization

We present a model of gradient phonotactics that is shown to reduce overall phoneme uncertainty in a language when the phonotactic grammar is modularized in an unsupervised fashion to create more than one sub-grammar. Our model is a recurrent neural network language model (Elman 1990), which, when applied in two separate, randomly initialized modules to a corpus of Japanese words, learns lexical subdivisions that closely correlate with two of the main lexical strata for Japanese (Yamato and Sino-Japanese) proposed by Ito and Mester (1995). We find that the gradient phonotactics learned by the model, which are based on the entire prior context of a phoneme, reveal a continuum of gradient strata membership, similar to the gradient membership proposed by Hayes (2016) for the Native vs. Latinate stratification in English.
Deriving polarity from granularity

In this paper, we present a way to unify Positive Polarity Items formed with some NP and minimizers, such as lift a finger. The connection is made via granularity properties of the two classes of polarity sensitive expressions. We begin with an observation in Strawson 1974 that the use of some NP involves an inference about the availability of a more precise identification of NP. Then, we show that the meaning of minimizers can be captured as the mirror image of the same granularity inference. To model our account, we use the granularity system in van Rooij 2011. We propose pragmatic requirements on the use of some NP and minimizers that explain both their granularity inferences and their polarity properties. Finally, we discuss how our proposal can be viewed as reconciliation of referential and alternative-based approaches to polarity.
Kemampuan Literasi Numerasi Ditinjau dari gaya Kognitif Reflektif-Impulsif

The purpose of this study was to determine how the level of numeracy literacy skills of students based on cognitive style, namely reflective-impulsive. The method used in this study was a quantitative research with a survey method. The object of the study or population was the 2018 PGSD Bone student class using the MFFT test to see cognitive style and written test related to numeracy literacy skills. The result of the research and discussion showed that the numeracy literacy ability of students was still not maximal, namely 34.7%. Judging from the cognitive style, 55% entered into reflective cognitive style and 22.08% entered an impulsive style. The reflective cognitive style in solving the questions takes a long time, but the results obtained to be correct or accurate, while the impulsive cognitive style is said to rush in answering and tend to be wrong. Another finding is that there are reflective cognitive style with a long time used but the answers are also many wrong and about 10% impulsive style answers correct in a short time. To improve numeracy literacy skills, a learning strategy or model is needed in accordance with the characteristics of students to develop creative, critical, high-order thinking by integrating 21st century
The Implementation of Buddy Vocabulary Cards Technique to Improve Reading Comprehension

&lt;p&gt;This research is aimed to propose a model of learning for the English teacher to improve reading comprehension of discourse in English and see whether the &lt;em&gt;Buddy Vocabulary Cards Technique &lt;/em&gt;has reached the level of effectiveness to be presented to students. The research was held at SMK AL-MAKMUR in South Jakarta Class 1, the population of 239 students with a sample that is taken randomly about 44 students. Research methods are Library Studies and Field Studies with through debriefing and give some questions. Based on the results, it can be concluded that the Buddy Vocabulary Cards technique can be used to improve students' reading comprehension.&lt;br /&gt; The result of study identifies that the average value of the students have achieved good category, with an average value of 6.8.&lt;/p&gt;
Privacy-Preserving Task-Matching and Multiple-Submissions Detection in Crowdsourcing

Crowdsourcing enables requesters to publish tasks to a platform and workers are rewarded for performing tasks of interest. It provides an efficient and low-cost way to aggregate data and solve problems that are difficult for computers but simple for humans. However, the privacy risks and challenges are still widespread. In the real world, the task content may be sensitive and only workers who meet specific requirements or possess certain skills are allowed to acquire and perform it. When these distributed workers submit their task answers, their identity or attribute privacy may also be exposed. If workers are allowed to submit anonymously, they may have the chance to repeat their answers so as to get more rewards. To address these issues, we develop a privacy-preserving task-matching and multiple-submissions detection scheme based on inner-product cryptography and proof of knowledge (PoK) protocol in crowdsourcing. In such a construction, multi-authority inner-product encryption is introduced to protect task confidentiality and achieve fine-grained task-matching based on the attributes of workers. The PoK protocol helps to restrict multiple submissions. For one task, a suitable worker could only submit once without revealing his/her identity. Moreover, different tasks for one worker are unlinkable. Furthermore, the implementation analysis shows that the scheme is effective and feasible.
Pencarian Data Barang Produk Atribut Sekolah Menggunakan Algoritma Binary Search

ABSTRACTTechnology and information that is growing and sophisticated must be balanced according to the needs. For it was made the application of binary algorithms for the search data goods production of school attributes. Many methods in search with the goal of making it easier to search, e.g. search data of production items of school attributes with binary search method. Convection in the search of production goods using the manual way by looking for the archive data written in the notebook, the purpose of this research is to create a data retrieval system of goods that will be applied as a data retrieval tool of goods, as well as change the system manual to the computing system. In this research using Binary Search algorithm. Binary search algorithm is a technique applied only on the sorted element (sorted). This research using method of binary search algorithm with analysis stage, system design, coding/construction, testing, and implementation. In the analysis stage, the collection of data conducted is observation and literature study. At the system design stage using Unified Modelling Language (UML) include the use case diagram, activity diagram, Sequence diagram, and Diagram class. At the construction stage using the Java programming language using Netbeans and MySQL Server tools while the implementation of this system is the application of data retrieval of goods. To know the eligibility of a system, it is necessary to test against the search time of 210 data each time duration, 0.0004 seconds, 0.0005 seconds, 0.0006 seconds, 0.0007 seconds, 0.0008 seconds, 0.0009 seconds, 0.0010 seconds, 0.0012 seconds, 0.0014 seconds, 0.00117 seconds. The final result of this study is the application of search for production goods with Binary Search Algorithm Method.
The Key-Dependent Message Security of Key-Alternating Feistel Ciphers

Key-Alternating Feistel (KAF) ciphers are a popular variant of Feistel ciphers whereby the round functions are defined as $$x \mapsto \mathsf {F}(k_i \oplus x)$$ , where $$k_i$$ are the round keys and $$\mathsf {F}$$ is a public random function. Most Feistel ciphers, such as DES, indeed have such a structure. However, the security of this construction has only been studied in the classical CPA/CCA models. We provide the first security analysis of KAF ciphers in the key-dependent message (KDM) attack model, where plaintexts can be related to the private key. This model is motivated by cryptographic schemes used within application scenarios such as full-disk encryption or anonymous credential systems. We show that the four-round KAF cipher, with a single function $$\mathsf {F}$$ reused across the rounds, provides KDM security for a non-trivial set of KDM functions. To do so, we develop a generic proof methodology, based on the H-coefficient technique, that can ease the analysis of other block ciphers in such strong models of security.
The 2021 Display Industry Awards

Abstract This year's winners include a mix of important new products that are leading the marketplace, ranging from a state‐of‐the‐art VR display, to ultrathin durable glass, a high‐performance touchscreen controller, leading‐edge TV products, and an innovative laptop/tablet.
Virtualanthropy: Towards an Open-Source Tool for the Visualization of 2D Anthropology Images Positioned In 3D

VirtualAnthroPy is a prototype application for creating files for 3D visualization of physical anthropology data. From topographic points and associated data contained in a spreadsheet, the objective is to allow archaeo-anthropologists to explore in 3D images mapped on plans. In addition to these positions, text and colorizations are also possible in order to provide additional information.
On-Device Language Identification of Text in Images Using Diacritic Characters

Diacritic characters can be considered as a unique set of characters providing us with adequate and significant clue in identifying a given language with considerably high accuracy. Diacritics, though associated with phonetics often serve as a distinguishing feature for many languages especially the ones with a Latin script. In this proposed work, we aim to identify language of text in images using the presence of diacritic characters in order to improve Optical Character Recognition (OCR) performance in any given automated environment. We showcase our work across 13 Latin languages encompassing 85 diacritic characters. We use an architecture similar to Squeezedet for object detection of diacritic characters followed by a shallow network to finally identify the language. OCR systems when accompanied with identified language parameter tends to produce better results than sole deployment of OCR systems. The discussed work apart from guaranteeing an improvement in OCR results also takes on-device (mobile phone) constraints into consideration in terms of model size and inference time.
Digitalization in the field of music education: assessment of prospects

Preconditions of the research: in the course of implementation of federal program of digitalization of all areas of life, the digital format has been applied for education of musicians in higher schools. In this regard, the research objective is assessment of digitalization results of modern departments of music in Moscow universities (RSSU, MPGU), determination of prospects and issues of this process. The research was based on common methods of analysis: system analysis, instrumental and functional approaches, dialectic and comparative analysis, as well as sociological and statistic methods. Results: it is possible to conclude that in Russia digitalization of higher music education leads to improvement of its quality in total; provides higher level of mastering programs by students, expansion of range of acquired competences and opportunities to obtain high-quality education by broader range of people. Herewith, digitalization does not deprive art education of its inherently individualistic and practice-oriented approaches (individual lessons, independent creative work, rehearsals, etc.). The novelty of the work is comprised of substantiation of efficiency of digital educational environment in universities and departments of music, which is a promising approach promoting development of higher education in Russia and allowing to achieve qualitatively new level of music pedagogics. The practical significance of the work is in disclosure of problems of music education digitalization.
Evaluasi Usability Sistem Informasi Akademik Dosen Menggunakan User Experience Questionnaire dan Heuristic Walkthrough

University of Lambung Mangkurat (ULM) has an academic information system that can facilitate access to information and provide quality academic services. One of the ULM academic information system services is the Portal Akademik Dosen ULM. Since its release in 2016, there has been no research regarding the evaluation of the Portal Akademik Dosen ULM. Most of users feel that the interface of the Portal Akademik Dosen ULM needs to be improved to make it more attractive, and needs improvements in several features. In connection with the important function of the Portal Akademik Dosen ULM, an evaluation is needed to assess the success of implementing the information system. This study aims to evaluate the usability of the Portal Akademik Dosen ULM. The methods used are the User Experience Questionnaire (UEQ) and Heuristic Walkthrough. Based on the results of the UEQ questionnaire from 56 respondents, it was found that the aspects of attractiveness, perspicuity, efficiency, dependability, and stimulation got positive values, while the novelty aspect got a neutral value. For the evaluation results with Heuristic Walkthrough method which involved 4 evaluators, found 33 problems at the Cognitive Walkthrough stage, and as many as 21 problems at the Heuristic Evaluation stage with an average severity rating of 13.4. The overall results of the evaluation showed that the Portal Akademik Dosen ULM needs to be improved on novelty items and need to be improved to reduce the number of problems.&#x0D;
Yellowstone Volcano Observatory 2020 annual report

First posted April 30, 2021 For additional information, contact: Contact YVOVolcano Science Center, Yellowstone Volcano ObservatoryU.S. Geological Survey345 Middlefield Road, MS 910Menlo Park, CA 94025 The Yellowstone Volcano Observatory (YVO) monitors volcanic and hydrothermal activity associated with the Yellowstone magmatic system, conducts research into magmatic processes occurring beneath Yellowstone Caldera, and issues timely warnings and guidance related to potential future geologic hazards. This report summarizes the activities and findings of YVO during the year 2020, focusing on the Yellowstone volcanic system. Highlights of YVO research and related activities during 2020 include an active-source seismic experiment to image the top of Yellowstone’s magma reservoir; semipermanent Global Positioning System array deployment, including a new site near Mary Mountain; studies of hydrothermal activity in the southwest portion of Yellowstone National Park; numerous geological studies, including characterization of hydrothermal explosion craters, updating existing maps, and refining the ages of Yellowstone volcanic units; investigation of a dormant period at Old Faithful Geyser that may be related to regional drought 800–650 years ago, and development of a publicly available online map interface.Steamboat Geyser, in Norris Geyser Basin, continued the pattern of frequent eruptions that began in 2018 with 48 water eruptions in 2020, matching the record for a calendar year that was set in 2019. Giantess Geyser, in the Upper Geyser Basin, erupted for the first time in 6 years in August 2020 and experienced a second eruption in September. Patterns of both seismicity and deformation in 2020 were similar to those in 2019. Deformation patterns during 2020 showed trends that were similar to previous years. Overall subsidence of the caldera floor, ongoing since late 2015 or early 2016, continued at rates of a few centimeters (1–2 inches) per year, and minor subsidence of Norris Geyser Basin that began in 2018 slowed during 2020 and stopped by the end of the year. Throughout 2020, the aviation color code for Yellowstone Caldera remained at “green” and the volcano alert level remained at “normal.”
The Effectiveness of Video Blog (VLOG) on Students’ Speaking Skill

As speaking requires the students to perform orally, this skill is considered difficult by some students.This study aims at investigating the effectiveness of Video Blog (Vlog) on students' speaking skill.It used pretest-posttest control group research design.It was conducted at SMKS PGRI Pakisaji.The sample of the study were the ten grades of AKL students as the experiment class and the ten grades of OTKP students as the control class.The total of both classes were 36 students.The researcher used a speaking test as the instrument to collect the data.The result of post-test indicated that the students in experimental class has higher score than the control class on their speaking test.The result of statistical analysis reported that there was a significant difference scores between experimental and control class.According to the finding of this study, it could be concluded that vlog can be one of the best new media in teaching speaking and it is recommended to applied on teaching speaking process, because the students who are taught by using Vlog have better achievement in speaking skill.Therefore, Vlog is an effective media in teaching speaking skill.
Contactless and context-aware decision making for automated building access systems

In the current context of the COVID-19 pandemic, contactless solutions are becoming increasingly important to making buildings more resilient to the spread of infectious diseases in complementing social distancing and disinfection procedures for disease prevention.The presented study focuses on contactless technology and its role beyond automated interaction with the built environment by examining how it expedited space use and could improve compliance with sanitary norms.We introduce a conceptual framework for the intelligent operation of automated doors in an educational facility, enabled by the network of sensory devices and the application of computational techniques.Our research indicates how versatile data gathered by RFID systems, in conjunction with data extracted from occupancy schedules and sanitary protocols, can be used to enable the intelligent and context-aware application of disease prevention measures.In conclusion, we discuss the benefits of the proposed concept and its role beyond the need for social distancing after the pandemic.
Analisis Kelayakan Lokasi Promosi Dalam Penerimaan Mahasiswa Baru (PMB) Dengan Algoritma Naïve Bayes &amp; Decission Tree C4.5

Competition for new student admissions in every public and private tertiary institution is currently growing rapidly every year, some spend a lot of money on promotional activities, to assist institutions / institutions in obtaining recommendations for the feasibility of promotion locations based on several measurement criteria using the classification algorithms contained in data mining . The algorithm used to compare the measurement of the feasibility of the promotion location of the city and district of Bekasi is Naïve Bayes and Decission Tree C4.5 using four parameters including the number of students in one sub-district, the number of students in one sub-district, the distance of location and last year's enthusiasts using 35 regions / sub-districts in Bekasi city and district. measurement results using the rapidminner, the accuracy value of the Naïve Bayes algorithm is 91.43% and the Decission Tree C4.5 is 94.29%.
The Implementation of The Employee Leaving Input System of PT. Prima Sejati Sejahterah Boyolali

PT. PAN BROTHER is a multinational company that produces textiles headquartered in Jakarta, Indonesia. This company was founded in 1969. This company produces various kinds of clothing. Currently, PT. PAN BOTEHR, especially the branch in Boyolali, namely PT. Prima Sejati Sejahtera has conducted attendance by using a finger print machine and a computerized scanner. Employees who wish to take annual leave, maternity leave, official permits, and sick leave are already using a web-based system, by means of employees inputting attendance on a computer provided by the company. However, there are still employees who lack knowledge of science and technology and are still an obstacle to implementing the web-based system. This system can actually be accessed using a smart phone, so that employees do not need to ask attendance staff for help when inputting leave. And to recap the attendance report of HRD employees must also look for employee leave documents that are still in paper files, so that this can slow down the withdrawal of reports on a monthly basis. With this problem, the Company made an innovation by creating an online-based web application for inputting employee leave and the author also conducted research on the application of this web-based system using literature study and field studies in field objects. It is hoped that with this research, the system can be used by all employees to be more effective in inputting absences due to leave and can help alleviate the performance of HRD staff to be more flexible and efficient and reduce absenteeism reporting errors due to employee leave.