Reviewerly/exHarmony huggingface dataset:
Hospital Nutritional Menu Customization System Integrated with Web-based Technology

Background: Hospitals aimed to serve their patients with the best medical care services and saving lives.Yet, while most attention and financial cost are spent on the medical investigation, purchasing the latest technology and machines, the food and nutrition provided to patients are having less concern.Food consumed is one of the important factors that affect patient body health recovery.Majority of the hospitalized patients are dependent on the hospital food as their nutritional resources.Problem: A nutritious, wholesome and well-balanced meal can essentially increase patient's rate of recovery without using the unnecessary nutritional supplement.However, majority hospital serves the patient with the same meal which does not suit every patient's body condition.Therefore, the patient is unable to obtain enough nutrition to support body health and recovery.This may not bring big affection to the patient who are short-term hospitalization but to those who are long term hospitalized or having serious health problems.Also, the traditional way of taking the order lead to several problems, including patient inconvenience and data lost.Objective: In this paper, a hospital nutritional menu customization system has been proposed to resolve the mentioned problems.The proposed system is designed for hospital-use to allow the patient to customize their meal based on their food preference, food portion and nutritional needs.This system aims to solve the problem of the existing manual paper-based food ordering system and increases the efficiency as well as the data accuracy.
Classification of Important Segments in Educational Videos using Multimodal Features.

Videos are a commonly-used type of content in learning during Web search. Many e-learning platforms provide quality content, but sometimes educational videos are long and cover many topics. Humans are good in extracting important sections from videos, but it remains a significant challenge for computers. In this paper, we address the problem of assigning importance scores to video segments, that is how much information they contain with respect to the overall topic of an educational video. We present an annotation tool and a new dataset of annotated educational videos collected from popular online learning platforms. Moreover, we propose a multimodal neural architecture that utilizes state-of-the-art audio, visual and textual features. Our experiments investigate the impact of visual and temporal information, as well as the combination of multimodal features on importance prediction.
Diseño de estrategias de enseñanza-aprendizaje de simulación en ambientes virtuales con tecnologías de información y comunicación

espanolEl proceso de ensenanza y aprendizaje de un curso de simulacion se lleva a cabo tradicionalmente en un ambiente fisico (salon de clase o laboratorio) de manera presencial maestro y estudiante, con estrategias didacticas que abordan actividades de inicio, desarrollo y cierre; para la acreditacion y adquisicion de la competencia especifica del curso. El proyecto, incorpora el uso de las Tecnologias de la Informacion y Comunicacion y los Ambientes Virtuales de Aprendizaje (Moodle) para generar un proceso de ensenanza aprendizaje B-learning (aprendizaje mixto: presencial y virtual). Se crean objetos de aprendizaje en Moodle, el estudiante interactua asincronamente con los materiales de ensenanza del curso; se disenan estrategias de aprendizaje que el estudiante resuelve para obtener un producto, que sera calificado y se le asigna el nivel de desempeno, que determina si acredita la asignatura y alcanza la competencia especifica. Se incorporan diferentes Tecnologias de Informacion y Comunicacion para que el estudiante pueda desarrollar sus habilidades digitales y aprendan sobre Simulacion. Las estrategias que se incorporan al Moodle parten de un documento denominado Instrumentacion didactica, en el cual se planea el curso de Simulacion describiendo que hace el maestro para ensenar y que hace el estudiante para aprender. EnglishThe teaching and learning process of a simulation course is traditionally carried out in a physical environment (classroom or laboratory) in a teacher and student face-to-face manner, with didactic strategies that address startup, development and closing activities; for the accreditation and acquisition of the specific competence of the course. The project incorporates the use of Information and Communication Technologies and Virtual Learning Environments (Moodle) to generate a teaching process B-learning (mixed learning: face-to-face and virtual). Learning objects are created in Moodle, the student interacts asynchronously with the teaching materials of the course; Learning strategies are designed that the student solves to obtain a product, which will be qualified and assigned the level of performance, which determines if it accredits the subject and reaches the specific competence. Different Information and Communication Technologies are incorporated so that the student can develop their digital skills and learn about Simulation. The strategies that are incorporated into Moodle are based on a document called Didactic Instrumentation, in which the Simulation course is planned describing what the teacher does to teach and what the student does to learn.
The high school career academy as a model for promoting technological preparation: promising practices and challenges in the United States

In this chapter, the authors discuss the high school career academy as a model for promoting technological preparation in the United States. The goal is to conduct a holistic analysis of the career academy model. The analysis is based on the results of a three-year qualitative study designed to explore how information technology (IT) career academies with different configurations were implemented, with emphasis on the challenges and opportunities in enabling students to become college and career ready. The findings derived from the analysis offer insights into the efforts to advance technological preparation in the American system.
EVOLUTION OF FORAMINIFERAL RESEARCH OVER THE PAST 70 YEARS

The only things in common between foraminiferal micropaleontology of 1950 and 2020 is the study of forams and the use of a binocular microscope, although the latter is now far less frequent. The number of foram workers, university courses and research schools proliferated rapidly through the 1950s-1970s driven by the demand for accurate biostratigraphy for the booming hydrocarbon exploration industry and to a lesser extent for geological mapping. Since the 1980s the number of foram biostratigraphers and micropaleontologists has plummeted, but our discipline has survived as a result of diversification into a number of new research fields of societal significance: e.g. use of foraminifera as proxies in paleoceanography, paleoclimatology, paleo-sea-level studies, environmental monitoring, ocean acidification, earthquake displacements, tsunamis, storms and in chronostratigraphy. Research output paralleled this boom and subsequent decline. The number of species described has more than doubled in 70 years, with an average 800 new species described per year in the first 35 years reducing to under 200 per year in the next 35. The number of foram publications rose from an average of 180 per year in the 1950s to a peak of 320 in the 1980s-1990s, declining to an average 250 per year since 2000. At the same time the number of single-authored papers declined from 80% in the 1950s to 10% in the 2010s, while papers with 3 or more authors increased from 2% to 75%. Collaboration has increased dramatically as a result of increased multidisciplinary projects, increased specialization of researchers and a blossoming of international projects such as DSDP, IGCP, CLIMAP, IODP, Planktic Foram Working Groups and FOBIMO. Technological and other advances that have significantly impacted foram research in the past 70 years include: electric typewriters; xerox copiers; digital printing; publication of Loeblich and Tappan treatises, Ellis and Messina on-line, Mikrotax, WoRMS; web access to publications; SEMs; fibre optic lights; multifocal microphotography; computers - digital word processing, drafting and photo editing; emails; dropbox; multivariate and morphometric analyses; ocean floor drilling and hydraulic piston coring; stable isotope geochemistry, laser ablation, microprobes; laboratory culturing; DNA and eDNA analyses.
Task Based Dictation (TBD): A Means of Improving the Language Proficiency of College Students

Purpose: This study investigates the improvement in the language proficiency of selected college students using the Task-Based Dictation in an ESL (English as a Second Language) classroom. Approach/Methodology/Design: The results of the tests scores are statistically analyzed using the measurement of central tendency. The mean is used to determine the total scores of the students in listening, writing, reading and speaking during the pre-test, TBD training, and post-test dictation. Then, each mean score is presented and interpreted using an adopted quantitative description, while the students’ outputs, the teachers’ observations during the conduct of the tests, and the informal interview and survey with college teachers validate the test results. Findings: Evidently, the scores of the college students in all the skills (listening, writing, reading, and speaking) have increased from novice in the pre-test to competent in the Task-based dictation (TBD) and post-test. Moreover, the teachers’ observations show that TBD provides opportunities for student-entered learning such as small group discussions/collaborations, peer feedback, systematic writing, critical analysis, and problem solving. Practical Implications: Through TBD, periodicals help college students develop their listening and writing skills, raise awareness on problematic language areas, and avoid biases in analyzing texts. Originality/value: Indeed, despite its limitations, this study answered the reservations of dictation in improving the English language proficiency of college students by increasing their competencies of their macro skills (reading, writing, listening and speaking).
CATI: An Extensible Platform Supporting Assisted Classification of Large Datasets

More and more, researchers in humanities and companies need large classified document data-sets. These users are not familiar with information retrieval or data science notions. For data scientists, there is also often a need for those classified document data-sets as ground truth. There are multiple tools that allow users to carry out this classification task on large data-sets, involving always a quite expert level in computer and data science. More over, these tools are not usually oriented to the domain of micro-blogs or do not always take into account meta data and attached images as additional dimensions to improve the classification. In this work, we present a platform to enable end users to classify large document collections of several hundred thousands documents in an assisted way, within a humanly acceptable number of clicks, with no coding and without having data science and information retrieval expert knowledge. The system includes a graphical user interface with several classification assistants doing text- and image-based event detection, geographical filtering, image clustering, search services with rich visual metaphors to visualize their results and finally Active Learning (AL) with different sampling strategies. We also present a comparative study on the impact of using different and interchangeable AL components on the number of clicks needed to reach a stable level of accuracy.
핵심역량기반 대학 교양영어 수업에서 학습자들의 핵심역량성취 분석

The functions and roles of universities are required to change due to rapid social changes and the Fourth Industrial Revolution. The government is conducting a basic competency assessment of universities, and universities are aiming to cultivate talented people according to the needs of modern society. Based on the characteristics of each university, core competencies are set and the curriculum is reorganized to implement at competency-based curriculum. This study identifies the effects and improvements of core-competency education through an analysis of the learning performance of students who took an English conversation class at K University, which set and implemented core competencies. We would like to find out an effective direction for general English education based on core competencies that meets the needs of learners and develops the intended talents of universities. To this end, this study compared and analyzed learning outcomes using a preand post-test design, and reviewed them in detail in each academic field. In addition, we analyzed ‘Reasons for Studying English’ and ‘Satisfaction with English Conversation classes’ by academic field to uncover problems and suggest a direction for general English education.
Investigation of Large-Margin Softmax in Neural Language Modeling

To encourage intra-class compactness and inter-class separability among trainable feature vectors, large-margin softmax methods are developed and widely applied in the face recognition community. The introduction of the large-margin concept into the softmax is reported to have good properties such as enhanced discriminative power, less overfitting and well-defined geometric intuitions. Nowadays, language modeling is commonly approached with neural networks using softmax and cross entropy. In this work, we are curious to see if introducing large-margins to neural language models would improve the perplexity and consequently word error rate in automatic speech recognition. Specifically, we first implement and test various types of conventional margins following the previous works in face recognition. To address the distribution of natural language data, we then compare different strategies for word vector norm-scaling. After that, we apply the best norm-scaling setup in combination with various margins and conduct neural language models rescoring experiments in automatic speech recognition. We find that although perplexity is slightly deteriorated, neural language models with large-margin softmax can yield word error rate similar to that of the standard softmax baseline. Finally, expected margins are analyzed through visualization of word vectors, showing that the syntactic and semantic relationships are also preserved.
통일 시대 대비 국어교육의 현황과 과제

The purpose of this paper is to analyze the current situation of Korean language education in preparation for the age of the unification of South and North Korea, and to examine the problems that Korean language education must prepare and practice in order to prepare for it. To this end, the present conditions and tasks of unified Korean language education in terms of school Korean language education and the status and tasks of unified Korean language education in terms of lifelong Korean language education were examined.The current status and tasks of school Korean language education for the age of the unification were approached in four aspects. Unified Korean language education in the Korean language curriculum, Korean language curriculum and textbook development for the age of the unification, Korean language teacher training, and Korean language education for North Korean defectors were examined.In addition, the present conditions and tasks of lifelong Korean language education compared to the age of unification were divided into Korean language education for North Korean defectors and Korean language education for South Koreans. Unified Korean language education for North Korean defectors was divided into Korean language education for North Korean defectors and Korean language education for North Korean defectors.
KawalPilkada: A Conceptual Secure ElectronicVote System Based Blockchain Technology

Today, elections are one of the foremost important means of sustaining democracies. thanks to the opportunities brought by technology, the need of creating the elections within the physical environment is decreasing every day. Instead, the difficulty of creating elections within the electronic environment is becoming more and more popular. With the emergence of Blockchain technology, the safety of the elections within the electronic environment has also been ensured to an excellent extent. On the opposite hand, moving the election system to the electronic environment will eliminate the physical costs, make sure the election security within the authoritarian regimes by eliminating the central authority through blockchain, and increase the participation rates within the elections because people can vote from anywhere with internet access. one of the foremost important elements within the blockchain-based electoral system is that the connection between the voter and therefore the vote, in other words, user privacy. during this article, we might wish to introduce an idea of blockchain- based voting systems
GENESIS OF THE PROBLEM OF FORMATION OF ORGANIZATIONAL AND MANAGEMENT ACTIVITIES IN THEORY AND PRACTICE OF PEDAGOGY

The article presents the key aspects of the formation of the essence of managerial activity, taking into account the socio-economic context. The main provisions characterizing management as management activity, as a science are revealed. The prerequisites that contribute to the development of pedagogical thought in the field of preparation for organizational and managerial activities (OMA) are determined. For each period, the features are formulated in understanding the essence of management, the nature of research, the application of management principles in organizations, the parameters of effective management, as well as requirements for the training of managers. The need for advanced preparation for ELE of future bachelors is identified and substantiated, taking into account the requirements of digitalization of life.
Fine-grained or coarse-grained? Strategies for implementing parallel genetic algorithms in a programmable neuromorphic platform

Genetic Algorithm (GA) is one of popular heuristic-based optimization methods that attracts engineers and scientists for many years. With the advancement of multi- and many-core technologies, GAs are transformed into more powerful tools by parallelising their core processes. This paper describes a feasibility study of implementing parallel GAs (pGAs) on a SpiNNaker. As a many-core neuromorphic platform, SpiNNaker offers a possibility to scale-up a parallelised algorithm, such as a pGA, whilst offering low power consumption on its processing and communication overhead. However, due to its small packets distribution mechanism and constrained processing resources, parallelising processes of a GA in SpiNNaker is challenging. In this paper we show how a pGA can be implemented on SpiNNaker and analyse its performance. Due to inherently numerous parameter and classification of pGAs, we evaluate only the most common aspects of a pGA and use some artificial benchmarking test functions. The experiments produced some promising results that may lead to further developments of massively parallel GAs on SpiNNaker.
A STUDY OF THE ATTITUDE OF SECONDARY SCHOOL TEACHERS TOWARDS THE PROFESSION OF TEACHING IN HOJAI DISTRICT

The focus of the present study is to gather knowledge about the attitude of the teachersspecially those who belong to the secondary level regarding their profession. The current study wasconducted with the objectives to know the attitude of teachers at the secondary level as per gender(male and female) and institution (private and government). The research data was collected from theteachers of different secondary schools of Hojai District. The descriptive survey research method andstratified random sampling technique employed by the researchers. The result of the study shows thatmost of the teachers who belong to secondary school have a positive attitude to their profession interms of gender (male and female) the result also shows that the teachers do not have significantdifferences regarding their attitude towards their profession. The implications of the study andsuggestions for further research in this area are also given in the study.
Correction to: Studying the Potentiality of Using Digital Gaussian Pyramids in Multi-spectral Satellites Images Classification

In the original article, the author (A. Serwa) name has been published incorrectly. The correct complete name should be A. Serwa.
LibGuides: Free Cataloging Resources: Subject Headings

A collection of free cataloging resources for New Mexico libraries, librarians and library staff
Optimalisasi Penggunaan Lahan Perkebunan Kelapa Hibrida Menggunakan K-Means Clustering

Plantations are the main source of income for farmers in Indragiri Hilir Regency. This plantation is the plantation sector most widely cultivated by farmers is a coconut plantation. The best grouping of coconut cultivation areas is important in developing farmers' income. This study aims to help the Plantation Office in the process of making the best decision areas for planting coconut, especially hybrid coconut. The data used in this study is the data of hybrid coconut plantations in 2018. Data processing in this study uses the K-Means Clustering method with the number of 3 Clusters namely Cluster 0 (C0) Less Potential, Cluster 1 (C1) Enough Potential, Cluster 2 (C2) Very Potential for planting hybrid coconuts. The results of the clustering process with 2 iterations stated that for Cluster 0 there were 7 village data, for Cluster 1 there were 1 village data, and for Cluster 2 there were 2 village data.
Tingkat Kemampuan Membaca Bahasa Inggris Mahasiswa Semester 2 Jurusan Administrasi Niaga Politeknik Negeri Jakarta

This study aims to obtain fact about the level of reading skills of high school graduates who continue their studies at State Polytechnic of Jakarta level one, in terms of reading skills aloud and understanding the content of their reading shown by the use of word types and in arranging sentences that are correct in grammar. The benefit of this research is to improve the reading skills of learning techniques that lead to comprehensive competencies for specific skills that shape the integrity of the reading skill competencies, namely the ability to read aloud and the comprehension of reading contents. This research uses a qualitative approach. The class sample is assigned 4 classes, namely 2 classes from D-3 Business Administration Study Program, 1 class from D-4 Applied Business Administration Study Program, and 1 class from MICE Study Program, determined based on purposive sampling method. Research subjects were students who were registered in the sample class. Data were collected using written test techniques including material to understand reading content consisting of introduction to types of words, composing sentences to answer questions and reading test aloud. The collected data is then discussed and analyzed, measured based on predetermined scores and indicators. From the data discussed and analyzed, it can be found that the average reading aloud test result is 65.6 and the average test comprehends the reading content of 75.1. Based on indicators of reading aloud test, it can be concluded that the level of reading skill reached by the senior high school graduates, are substandard, inaccurate, and unclear. Based on the indicators understanding the contents of the reading, it can be concluded that the level of skill in understanding the content of reading achieved are the correct answer but found grammatical errors.
Trends in the information and library technologies computerization and their practical implantation as exemplified by MegaPro Automated Integrated Library System

The main vectors of step changes of ALIS/AILS are discussed to meet new challenges modern libraries are facing. Implementation options for these trends are examined by the example of the MegaPro Automated Integrated Library System.