Reviewerly/exHarmony huggingface dataset:
Quick Sign - A smart Indian Sign Language and Native Sign Gesture Interpreter

Sign Language is the most natural and expressive way for the hearing impaired. Sign Language is the medium of communication among physically impaired individuals who cannot speak or hear by expressing signs using hand shapes, orientation and movement of hands. Automatic Sign Language Recognition is a significant research area in the field of human computer interaction. Automatic Sign Language systems need fast and accurate techniques to identify signs with correct meaning. Many techniques have been developed with the development of image processing and artificial intelligence techniques. Most of signs Indian Sign Language (ISL) are double handed. It is more difficult to recognize compared to single handed signs like American Sign Language (ASL). This paper presents a methodology which recognizes the Indian Sign Language (ISL) and translates into a normal text.
Cuestionario para diagnosticar la interactividad en la educación a distancia desde la percepción de los estudiantes

The objective of this article was to describe the stages to design and validate a questionnaire aimed at diagnosing interactivity in distance education from the students' perception. The instrument formed by one dimension, three indicators and 55 items was subjected to the psychometric tests of validity and reliability. The validity was evaluated through the Delphi technique using 17 experts who, with their criteria, helped enrich the instrument. Reliability was assessed using Cronbach's Alpha using a sample of 381 distance race students, obtaining a result of 0.850 indicating stability, guarantee and quality in the responses. As a final result, a valid and reliable questionnaire was obtained that allowed us to diagnose the state of interactivity from the students' vision and on this basis propose improvement actions so that the Learning Teaching Process in distance education is successful.
LibGuides: Workshops in the Library Research Series: Researching for Your SAW Paper or Law Journal Comment

Reference librarians are pleased to offer research workshops on various topics throughout the semester. Workshop content will be available here.
Dispatching the Request based on Energy Price for Cloud Data Centers

Cloud services are utilized by the data center resources and this helps hosted applications to use them when needed. Cloud service providers control tens of geographically distributed data centers to supply an enormous number of computational resources. Since each data center is consists of many thousands of physical machines, the foremost concern for cloud service providers is energy consumption. Those companies that are imposed by electric costs and which lead them to significant financial overheads and increases the worth for the cloud users. This paper presents the dispatcher of the request supported the energy-price in an electric-cost-saving way by forwarding client requests to data centers. In our technique, a policy that shifts client requests to electrically cheaper data centers gradually along by taking into consideration application latency requirements and data center loads. The results supported our simulation show that our technique can reduce electric costs by quarter-hour quite randomly dispatching client requests.
Hardness of Approximation of (Multi-)LCS over Small Alphabet.

The problem of finding longest common subsequence (LCS) is one of the fundamental problems in computer science, which finds application in fields such as computational biology, text processing, information retrieval, data compression etc. It is well known that (decision version of) the problem of finding the length of a LCS of an arbitrary number of input sequences (which we refer to as Multi-LCS problem) is NP-complete. Jiang and Li [SICOMP'95] showed that if Max-Clique is hard to approximate within a factor of $s$ then Multi-LCS is also hard to approximate within a factor of $\Theta(s)$. By the NP-hardness of the problem of approximating Max-Clique by Zuckerman [ToC'07], for any constant $\delta>0$, the length of a LCS of arbitrary number of input sequences of length $n$ each, cannot be approximated within an $n^{1-\delta}$-factor in polynomial time unless {\tt{P}}$=${\NP}. However, the reduction of Jiang and Li assumes the alphabet size to be $\Omega(n)$. So far no hardness result is known for the problem of approximating Multi-LCS over sub-linear sized alphabet. On the other hand, it is easy to get $1/|\Sigma|$-factor approximation for strings of alphabet $\Sigma$. In this paper, we make a significant progress towards proving hardness of approximation over small alphabet by showing a polynomial-time reduction from the well-studied \emph{densest $k$-subgraph} problem with {\em perfect completeness} to approximating Multi-LCS over alphabet of size $poly(n/k)$. As a consequence, from the known hardness result of densest $k$-subgraph problem (e.g. [Manurangsi, STOC'17]) we get that no polynomial-time algorithm can give an $n^{-o(1)}$-factor approximation of Multi-LCS over an alphabet of size $n^{o(1)}$, unless the Exponential Time Hypothesis is false.
The use of Neural Network Modeling for the Selection of Thermophysical Coefficients

The following topics are dealt with: learning (artificial intelligence); Internet of Things; feature extraction; neural nets; data analysis; support vector machines; power engineering computing; image classification; medical signal processing; convolutional neural nets.
Research Guides: Vanderbilt Television News Archive Tutorials : Collection Details

A how to guide for account creation, finding content, ordering news episodes or segments, creating a Media Account, and receiving content in the Media Account.
Project MAIA: Multilingual AI Agent Assistant

This paper presents the Multilingual Artificial Intelligence Agent Assistant (MAIA), a project led by Unbabel with the collaboration of CMU, INESC-ID and IT Lisbon. MAIA will employ cutting-edge machine learning and natural language processing technologies to build multilingual AI agent assistants, eliminating language barriers. MAIA’s translation layer will empower human agents to provide customer support in real-time, in any language, with human quality.
Duo for Trombone and Piano

Author(s): Ravaei, Kian | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
Natural Deduction System for the Logic of Binary Relations Based on the Algebraic Tradition

We present a proper natural deduction system (ND-system) for a logic of binary relations based on the algebraic tradition. Our system is an evolution from [W. W. Wadge. TCR 5, The University of Warwick, 1975]. We point out some aspects where Wadge's formalism fails as an ND-system and fix them all.
LibGuides: Library Help - MCC: Ask a Librarian - Library Chat

These short videos provide information that will help you find and access MCC Library resources, including library catalogs, databases, and subject guides.
Prerequisite Course Recommendation Based on Course Description and Students’ Grades

Overview of the data ow.The input raw data from two example courses CS130 and MA120 are processed and mapped to a feature vector that covers grades correlation, concept dependency, content overlap, and course complexity relationship between the two courses.The classi er then predicts either positive or negative from these constructed features.
New Algorithm Techniques for Efficient Analysis of Tissue Images

The importance of global features in the analysis of tissue images cannot be overemphasized especially in texture image classification and retrieval. This paper presents different techniques for detection, classification and analysis of diseases pattern in medical images. The research work studies the structure of tissue images; and extracts the similarity features characterized by the Holder exponent for pattern classification. Features from multi-fractal descriptors have been extracted and combined with features from fractal descriptors to generate new descriptors for efficient analysis of images. The experimental procedures have been tested with different extracted features during the classification process to determine the appropriate image features that could yield maximum detection accuracy.The results showed that the descriptors extracted from different features could improve the performance of the models.Our findings in this paper have greatly demonstrated the importance of global features in the analysis of tissue pattern.
NEEDS ANALYSIS IN DEVELOPING “ENGLISH FOR TOUR GUIDES” MATERIALS FOR HIGH SCHOOL STUDENTS IN KEPULAUAN SERIBU, INDONESIA

&lt;p&gt;Kepulauan Seribu is one of the fastest growing tourism regions in Indonesia, but its growth can be hindered by the lack of English skills of local tour guides. In response to this, a workshop entitled “English for Tour Guides” was conducted for high school students on Pramuka Island, and in-house materials were developed. To determine how the materials&lt;br /&gt;were to be designed, a needs analysis using a three-question open-ended questionnaire was carried out in order to identify the students’ views on local tourism, motivation to join the workshop, and aspirations after graduation. The results show that the students considered developing local tourism and improving their English skills, either for achieving&lt;br /&gt;future personal purposes or interacting with foreign visitors, important. Furthermore, this study also found that their motivation had both integrative and instrumental orientations. Based on the needs analysis, a set of principles informed by the literature on language teaching and learning was chosen, and it directed the pedagogical tasks selected as part&lt;br /&gt;of the materials.&lt;/p&gt;
Application of Dual Modality Contrast Agent Combined with Multi-Scale Representation in Ultrasound-Magnetic Resonance Imaging Registration Scheme

To achieve the image registration/fusion and perfect the quality of the integration, with dual modality contrast agent (DMCA), a novel multi-scale representation registration method between ultrasound imaging (US) and magnetic resonance imaging (MRI) is presented in the paper, and how DMCA influence on registration accuracy is chiefly discussed. Owing to US’s intense speckle noise, it is a tremendous challenge to register US with any other modality images. How to improve the algorithms for US processing has become the bottleneck, and in the short term it is difficult to have a breakthrough. In that case, DMCA is employed in both US and MRI to enhance the region of interest. Then, because multi-scale representation is a strategy that attempts to diminish or eliminate several possible local minima and lead to convex optimization problems to be solved quickly and more efficiently, a multi-scale representation Gaussian pyramid based affine registration (MRGP-AR) scheme is constructed to complete the US-MRI registration process. In view of the above-mentioned method, the comparison tests indicate that US-MRI registration/fusion may be a remarkable method for gaining high-quality registration image. The experiments also show that it is feasible that novel nano-materials combined with excellent algorithm are used to solve some hard tasks in medical image processing field.
Corpus Pattern Analysis of of-Construction Phrase Transformations to the Genitive

While it is well known that phrase transformations take place, there has been very little concrete research on phrase transformations and the associated rules. To go some way to filling this gap, this paper used corpus pattern analysis (CPA) to examine of-construction phrases, as exemplified by on the face of it and on its face, and elucidate the syntactic manipulation in the semantic and functional features of on its face. The CPA revealed that on its face was semantically the same as on the face of it (i.e., seemingly), but that the meaning of face, i.e., appearance, had more stress in the on the face of it phrase than the end-focus. Further, on its face was found to more often co-occur with legal lexical items such as constitutional, invalid, and lawful, and to be used more often in legal contexts. The reason on its face was derived from on the face of it was found to be because of the end-focus and the influence of semantically compatible phrases, such as for the sake of ~ and for ~&amp;rsquo;s sake, on behalf of ~ and on ~&amp;rsquo;s behalf. However, it should be noted that not all phrases that have of-constructions can be transformed into the genitive; for example, for the life of me does not transform into *for my life because *for my life is most often literally interpreted. It appears that linguistic economy is the most probable reason for phrase transformations from of-constructions to genitive constructions.
An Improved Functional Dependency Network Model for Information Systems Effectiveness Analysis

To address the limitations of the FDNA approach, in this paper, we analyze the dependency of the receiver node on the feeder nodes as well as the impact of the node's operability level on the system effectiveness, and improve the FDNA approach. We also propose a computing method for system effectiveness based on an improved FDNA model, and conduct relevant case verification.
Verse Search System for Sound Differences in the Qur’an Based on the Text of Phonetic Similarities

Al-Qur'an has a lot of content, so the system of searching for verses of the Al-Qur’an is needed because if it is done manually it will be difficult. One of the search systems for the verses of the Al-Qur'an in accordance with Indonesia’s pronunciation is Lafzi. The Lafzi system can search for verse fragments using keywords in Latin characters. Lafzi has been developed into Lafzi +, wherein the Lafzi + system can be used to search verses of the Al-Qur’an with different sounds on stop signs. However, the Lafzi+ can only overcome the difference in the sound of the stop sign and cannot be applied throughout Al-Qur’an. Based on these problems, the system needs to be developed to overcome the differences in sound in the middle of the verse and can be applied throughout the Al-Qur’an. The method used in the process of searching for the verse is the N-gram method. The N-gram used in this research is trigram. The process flow of this system is first normalized in the phonetic coding process after normalized then tokenization of trigrams and then trigrams are matched between the query and the corpus and entered into the ranking process to get an output candidate. In the making process, the LIS (Longest Increasing Subsequence) method is used to get an orderly and strict trigram sequence. The highest order score will be the top output. The results of this study obtained a recall value of 100% and MAP of 87%.
Implementasi Augmented Reality (AR) Berbasis Android Sebagai Pengenalan Rumah Adat Indonesia Bagian Barat

A traditional house is a house that has a unique building characteristic in an area that describes the culture of the area itself. Traditional houses are also unique in terms of form, function and meaning of the building. As Indonesians, we must introduce one of the existing cultures so that it is not forgotten by the community, especially school children. Judging from the development of technology, we must make new things in introducing traditional houses. From the results of research conducted at SD IT BINA INSANI, the teachers there still use conventional media in the form of textbooks and thematic books for the learning process. Therefore, the authors created an application to introduce western Indonesian traditional houses using Augmented Reality called RA-IBB as an introduction medium. This application is based on Android so that teachers can easily explain material about traditional houses and can show traditional houses in 3D without having to come directly to the province. And for students to be able to study traditional houses wherever and whenever. The making of this application uses the waterfall method for the development stage. The RA-IBB application contains materials about western Indonesian traditional houses and their 3d objects and quiz questions that use random shuffle algorithm questions. The random shuffle algorithm is a randomized question from an array or record. Based on the User Acceptance Test (UAT) for teachers, the results obtained from several aspects, namely the design aspect yields a percentage of 91%, the application information aspect produces a percentage of 91.
PEMBELAJARAN LITERASI MEMBACA SISWA SEKOLAH DASAR KELAS I

ABSTRACT&#x0D; This study aims to understand deeply the learning of literacy reading in elementary school class I. The research problem is based on the low student interest in learning, low literacy reading skills, and the teacher is too focused on the 2013 curriculum without facilitating student needs. The research method uses a qualitative approach to the design of phenomenology with the stages of essence deepening, variations in imagination, and reduction of phenomenology. The time and place of the study were conducted at Cijambu Elementary School in Elementary School I class, located at Jln Cigombong Station, Bogor Regency. The study was conducted for six months. The results were obtained that reading literacy learning uses Curriculum 2013 with the aim of reading comprehension. Learning media use word cards and learning strategies use the phonic approach for those who cannot read and the direct approach for those who have mastered phonemic awareness. Evaluation of learning is carried out formally according to the curriculum without an innovation development in the form of literacy assessment. Recommendations namely, this research should be developed in other aspects of language to be more comprehensive.&#x0D; Keywords: Learning, Reading Literacy, Grade I Students
Publisher’s Note: “Predicting phase and sensing phase coherence in chaotic systems with machine learning” [Chaos <b>30</b>, 083114 (2020)]

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Registering a Public Domain with Office 365

Office 365 comprises various software as services including the Office suite, SharePoint, Dynamics 365, Teams, Flow, OneNote, OneDrive, and Planner. Office 365 Education is free for schools and students with a valid school email address. Office 365 is widely used for collaboration across various organizations.
PELATIHAN PENGENALAN PERANGKAT KERAS DAN PERANGKAT LUNAK KOMPUTER UNTUK SISWA-SISWI SDN 1 DESA BATU TEGI KECAMATAN AIR NANINGAN

Today, technology is growing and the use of technology should be introduced to learners as early as possible such as introducing the basics of hardware and computer software. The introduction of more detailed computer from an early age needs to be done to the schools. SDN 1 Pekon Batu Tegi is one of the primary schools located in the district of Air Naningan Tanggamus Regency. The introduction of computers given to students is the foundation for hard work and computer software. The purpose of this activity is so that the students of SDN 1 Pekon Batu Tegi know and know more about hardware computer and its function. Introduction of hardware and software is expected to help elementary school students know more details about the names of computer components and software used therein. Keywords : Training, Introduction of Computer
Estrategias didácticas en un entorno universitario como apoyo a la educación presencial

This work presents research related to the learning strategies used in a university environment in face-to-face education, the strategies mentioned are the active master class, the case study, the debate, the game of roles and project-based learning. Methodology: A descriptive design was used, carrying out data collection through the "University Students Learning Strategy Assessment Questionnaire". Results: Students have enough learning strategies to achieve the objective of their university studies successfully. In addition, there is acceptance by students of the implementation of the various strategies in a face-to-face course, as it allows them to address the issues using the strategy that allows better learning. Conclusions: Given the process of applying the educational model in Higher Education, learning environments should be created that facilitate innovation and student participation in the teaching-learning process, considering both the component teaching as the human dimension. In in-person students, the results demonstrate better information storage skills.
COOPERATION BETWEEN “SCHOOL AND PEDAGOGICAL EDUCATIONAL INSTITUTION”: HISTORICAL AND PEDAGOGICAL ASPECT

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The Next Generation of Virtual Reality Interventions for Mental Health

Decades of research have shown that Virtual Reality (VR) technology can be used efficaciously to treat anxiety disorders, and for pain management, stress reduction, and other mental health purposes ...
Daily felt earthquake database based on historical diaries of pre-modern Japan

&amp;lt;p&amp;gt;In Japan, seismic observation using modern instruments was started at the end of the 19th century, and the nationwide seismic observation network was developed in the early 20th century. Therefore, to study earthquakes that occurred before the start of modern seismic observation, it is necessary to conduct research and analysis based on historical documents.&amp;lt;br&amp;gt;Since the end of the 6th century, there have been various types of historical documents describing earthquakes and their damage in Japan. Especially since the 10th century, historical source journals have described not only large earthquakes that caused great damage, but also small earthquake quakes. In Japanese history, pre-modern diaries were considered as semi-official archives intended for future reference and are used in various studies as reliable primary archives.&amp;lt;br&amp;gt;The history diaries have the following features: (1) their descriptions are highly reliable because they were written immediately after the event or on the same day. (2) You can specify exactly where the history diaries were recorded. (3) The same author kept a diary for ten to several decades, providing continuous and stable information. (4) In some areas in Japan, historical diaries have existed almost continuously since the 10th century.&amp;lt;br&amp;gt;In this study, many such history diaries are accumulated over a wide area in Japan, and the descriptions of felt earthquakes are extracted and digitized, and a database has been constructed so that the digitized information can be easily used for seismology research. In the prototype of the &amp;quot;Historical Diary-based Sensible Earthquake Database&amp;quot; introduced at the previous meeting, the diary historical data at 28 locations and 2,767 felt earthquakes were registered for four years from 1853 to 1856 (Nishiyama et. al., 2019).&amp;lt;br&amp;gt;Since then, the database was released in a website, and the data has been expanded to 47 locations and 3,376 felt earthquake data for the same period. The database includes the date and possible occurrence time of the earthquake, the recording location, and the magnitude of shaking. In order to efficiently utilize this database for seismology research, we also have developed a graphic user interface (GUI) with the following functions.&amp;lt;br&amp;gt;(a) A function to display the locations where shaking was recorded during the same time period on the same map, and plays the specified period as a moving image.&amp;lt;br&amp;gt;(b) A function to examine whether a felt earthquake recorded at different locations on the same day is caused by the same earthquake. The possible time periods of each shaking are displayed side by side.&amp;lt;br&amp;gt;This database and the newly developed GUI eliminate the need to read historical diaries, which requires the specialty of history. Utilizing digitized data, it is expected to promote seismology research, such as elucidation of long-term seismic activity including not only large-scale but also small- and medium-scale earthquakes.&amp;lt;/p&amp;gt;