Reviewerly/exHarmony huggingface dataset:
Development of a Drug Early Warning Scoring Model for Cardiac Arrest Using Deep Learning Methods

Background: In most of Taiwan’s medical institutions, congestion is a serious problem for emergency departments. Due to a lack of hospital beds, patients spend more time in emergency retention zones, which make it difficult to detect cardiac arrest. Objective: We seek to develop a Drug Early Warning Scoring Model (DEWSM), including drug injections and vital signs as these research important features. We use it to predict cardiac arrest in emergency departments via drug classification and medical experts’ suggestion. Methods: We propose this new model for detecting cardiac arrest via drug classification and by using a sliding window, and apply learning-based algorithms to time-series data for a DEWSM. To evaluate the proposed model, we use the area under the receiver operating characteristic curve (AUROC). Results: We identify the two important drug predictors: bits (intravenous therapy), and replenishers and regulators of water and electrolytes (fluid and electrolyte supplement). We verify feature selection, in which accounting for drugs to improve the accuracy and demonstrate that thus accounting for the drugs significantly affects prediction. Also, we show that CPR events can be predicted four hours before the event. Conclusion: Our study used a sliding window to account for dynamic time-series data consisting of the patient’s vital signs and drug injections. The experimental results of adding the drug injections were better than only vital signs. In addition, we using LSTM method as the main processing time series data, it was the bases for comparison of this research.
Developing and Validating a Standardized Scale to Measure the Activity Tendency in Interdisciplinary Learning Literacy

This study developed a standardized scale to measure the activity tendency in interdisciplinary learning literacy and validated it through factor analysis. According to Britt and Rouet''s (2012) multiple-document task-based relevance assessment and content extraction (MD-TRACE) model, nine factors were theoretically assumed and 19 items were developed in advance. By applying repetitive exploratory factor analysis to the responses of 224 undergraduates, 16 items of 5 factors were finally selected. The model fit and convergent and discriminant validity were investigated with confirmatory factor analysis. The mean of the five factors (i.e. perception of task-based needs, intertext model, mental model, considering counterarguments, and monitoring learning outcomes) was 3.50～4.50, and the standard deviation was distributed within the range of .64～1.01. The sub-processes of interdisciplinary learning literacy can be practically measured using a standardized scale. It is expected that this scale will be used to effectively diagnose learners'' factors in the context of teaching and learning and conduct follow-up studies.
Problems of context and criterion in nonverbal communication: a new look at the accuracy issue

Four key problems which have impeded research on nonverbal communication are examined: (a) sampling and labeling nonverbal behavior, (b) preserving the context in which the behavior occurs, (c) generating a source of nonverbal behavior, and (d) determining the criterion of accurate interpretation. These problems are particularly acute for research on the recognition of emotion. Seven distinct varieties of context are identified, and the degree to which research has been faithful to these contexts is discussed. The criterion problem is described, and it is argued that this problem is insoluble within the emotion recognition tradition. The paper presents a 9-cell typology of research designs, and the relative merits and frequencies of these nine design types are described. Finally, a new concept in nonverbal communication research is presented. This concept, embodied in the Social Interpretations Task (SIT), provides a solution to some of the problems of context and criterion which have beset the field of nonverbal communication.
Multi-channel Interactive Intelligent Fusion Technology in Shipborne Command and Control System

In order to cope with the increasing cognitive and operational load of Shipborne Command and control system, combined with touch, gesture, voice, eye movement, EEG and other interaction modes, a multi-channel interaction fusion framework is proposed, which adopts multi-channel interaction mode, integrates a variety of interaction interfaces, intelligently combines and cooperates to complete the current scene interaction tasks. This paper focuses on the advantages and disadvantages of different channels such as gesture and eye movement, and designs the interaction process of gesture recognition and the intelligent interaction process of human-computer fusion with eye movement channel as an example, so as to achieve the goal of natural and efficient information interaction.
A Study on the Acquisition Order of Chinese Modal Particle ‘Ne (呢)’ by Korean Students

The Chinese modal particle ‘Ne(呢)’ is a very high-frequency word and is more difficult for second language learners. Based on the analysis of ‘Ne’ semantics and usage, this paper makes a comprehensive investigation into the process of learning ‘Ne’ by Korean students through objective question and subjective question. The results of the investigation were analyzed by using implicational scaling procedure,.showed that they learned ‘Ne’ of Truncated Questions first, then to learn Special Questions and Alternative Questions, and finally to state the end of sentences, In terms of usage, the learners are most familiar with the use of ‘a(啊)’, followed by the special question ending, which is used to express the least hyperbole at the end of the statement. Finally, based on the results of the survey and the analysis of order of acquisition, some practical teaching strategies were put forward.
Study Guides: Music & Sound Design: Music, Sound Effects & Copyright

This guide will help Music & Sounds Design students find and evaluate key resources needed to successfully complete their assessments.
LibGuides: ScholarCheck: Overview

A scholarly analysis tool to help users learn more about documents, titles, and authors and their impact in the research community.
STRATEGI PENGUMPULAN PROGRAM GERAKAN KOIN NU (KOTAK INFAQ NAHDLATUL ULAMA) DI LAZISNU SINGGAHAN TUBAN

The purpose of this study is to find out how the strategy for collecting and implementing the KOIN NU movement program at LAZISNU Singgahan. The research method is qualitative by using a field research approach through observation, documentation and interviews. From the results of this study, it can be seen that the strategies used by LAZISNU Singgahan in the success of the KOIN NU movement program are socialization, program implementation, building communication systems, service systems and bookkeeping in a clear and transparent manner. While the process in implementing or collecting the KOIN NU movement program, LAZISNU Singgahan carried out in three stages, the first was from LAZISNU sub-district distributing cans to each branch to be distributed to the community, either in groups or individually, the second was collecting cans in the community by the KOIN NU coordinator, the third is the counting and distribution of coins by the counting team.
LibGuides: ENG 151 - SIFT Method for Evaluating Sources: Before You Begin: Identify Your Source!

This guide explains how to use the SIFT Method for evaluating sources. SIFT stands for Stop, Investigate the claim, Find better coverage, and Trace back to the original source.
Network Traffic Identification Using Machine Leaning and DPI

Exact system traffic distinguishing proof is a significant reason for arrange traffic checking and information examination, and is the way to improve the nature of client administration. In this paper, through the examination of two system traffic recognizable proof techniques dependent on Machine Learning (ML) and profound parcel assessment, a system traffic distinguishing proof strategy dependent on ML and profound bundle review is proposed. This technique utilizes profound parcel review innovation to distinguish most system traffic, decreases the remaining burden that should be recognized by ML strategy and profound bundle examination can distinguish explicit application traffic, and improves the exactness of identification. ML strategy is utilized to help with distinguishing system traffic with encryption and obscure highlights, which compensates for the weakness of profound bundle review that can't recognize new applications and encoded traffic. To reduce the work load of Machine Learning we are using Deep Packet Inspection (DPI) Technology. Analysis shows that this strategy can improve the ID pace of system traffic.
LibGuides: Library Intranet: Surveys

To share teaching, learning and research support information Surveys that were conducted by the library will be recorded on this page
LibGuides: ICT LibGuide: Help?

The aim of this ICT subject guide is to make your studies pleasant and enrich your access to information resources. Through it, you will have access to general resources and other Open Access resources you may use for your studies.
PhrasIS: Phrase Inference and Similarity Benchmark

We present PhrasIS, a dataset of Phrase pairs with Inference and Similarity annotations for the evaluation of semantic representations. This dataset fills the gap between word and sentence-level datasets, allowing to evaluate compositional models at a finer granularity than sentences. Contrary to other datasets, the phrase pairs are extracted from naturally occurring text in image captions and news, and were annotated by experts. We analyze the dataset, showing the relation between inference labels and similarity scores, and evaluated several well-known techniques obtaining satisfactory performance. The gap with respect to annotator agreement shows that there is plenty of room for improvement. In addition, we introduce the use of similarity and relatedness inference relations, showing that they are useful for inference. With 10K phrase pairs split in development and test, the dataset is an excellent benchmark for testing meaning representation systems.
Сутність і зміст інтерактивних технологій навчання в контексті розвитку комунікативної компетенції студентів

The article considers some aspects of the application of interactive learning technologies in the development of communicative competence of university students. It is a teacher with strong creative abilities who can solve these tasks and is able to organize the professional activities at an innovative level. Therefore, today the problem of training future professionals for professional activities is of great pedagogical and social importance. At the scientific and methodological level, the urgency of the problem researched was caused by the awareness of the need to find, develop and master such forms of educational activities that would focus on the development of communicative competence of students through updating existing knowledge and skills, professional values of students in accordance with society. One of the most promising and effective ways to improve learning process is the use of interactive technologies.
Research on the Integrated Teaching Model of College English Reading and Writing Based on the Output-oriented Approach

As the main force of popularization of higher education, local colleges and universities mainly aim at cultivating applied talents."The traditional single and general college English course, which aims at improving the level of learning language, can no longer meet the talent training of local undergraduate colleges in the transition period under the new situation".Because students are unfamiliar with the new knowledge field, the student-led classroom learning activities fail to reach the due height and depth.With the globalization of the world economy and the great demand of society for high-quality applied talents, local undergraduate colleges, which carry the mission of delivering all kinds of applied talents to society, are facing unprecedented reform pressure, especially in college English teaching.This method puts forward the teaching hypothesis of "Output Driven-Input Promotion", and adheres to the "Learning Center" and "Learning-Utilization Integration".With the idea of "whole person education", it can solve the disadvantage of "separation of learning from practice" in current foreign language education and greatly improve students' comprehensive ability of using English.In this paper, based on the outputoriented method, under the theoretical framework of output-driven and input-driven, the output-oriented mode of teaching can make full use of the characteristics of "learning to apply, to promote learning", to improve teaching efficiency and teaching effect.
Prototipe Sistem Pemantauan Kondisi Cuaca Pekanbaru

The occurrence of differences in weather conditions (rain, temperature, humidity, wind direction and speed) in the city of Pekanbaru from one place to another even though it is still in one sub-district. The difference in rainfall can disturb the community. Many people do not know the information about the weather conditions. The application of technology in the form of sensors as a monitoring system for weather conditions can be used to assist in collecting information data for the local community. The design is made using Arduino which is equipped with an anemometer sensor that functions to measure wind speed, wind direction sensor, DHT11 temperature sensor to detect air temperature and humidity. The data that has been read by the sensor will be sent to the server which is displayed on the web. The data generated in the form of wind speed, wind direction, temperature, and humidity. The test results obtained that the tool can monitor weather conditions with a temperature range of 25oC to 33oC, the resulting temperature accuracy is 95.96%. The humidity accuracy value is 95.91%. The wind speed value generated by nature is 0.00 M/s when the wind conditions do not blow up to 3.05 M/s when the wind conditions blow, the accuracy value obtained from the wind speed sensor is 78.07%. The wind direction shown is northwest, west, southeast, and south. The wind direction when doing the test often shows the southeast cardinal direction. Monitoring is carried out via the internet via a web that is connected to the internet network. With this system, information on weather conditions can be known to everyone through the website in real time or directly to find out the current weather infoKeywords: Monitoring Weather, Wind Speed ​​and Direction, Arduino, Website
How (UN) Happiness Impacts on Software Engineers in Agile Teams

Information technology (IT) organizations are increasing the use of agile practices, which are based on a people-centred culture alongside the software development process. Thus, it is vital to understand the social and human factors of the individuals working in agile environments, such as happiness and unhappiness and how these factors impact this kind of environment. Therefore, five case-studies were developed inside agile projects, in a company that values innovation, aiming to identify how (un)happiness impacts software engineers in agile environments. According to the answers gathered from 67 participants through a survey, interviews and using a cross-analysis, happiness factors identified by agile teams were effective communication, motivated members, collaboration among members, proactive members, and present leaders.
Perancangan dan Pengembangan Pencatatan Akuntansi dan Laporan Keuangan pada Love Market Pasar Online

Love Market Online Market is a market business located in the new Cahaya Garden Building, Sadai, Bengkong. Love Market Online Market has been established since March 2020. The problem in the Love Market Online Market business is the difficulty in making accounting records and financial reports, because it must collect transaction and expense processes manually. Therefore, a system is needed to help facilitate recording and reporting. One of the methods in designing the system to solve the problems encountered is the waterfall method which has stages of analysis, system design, coding, testing, testing, and maintenance. The results of this study will be a web-based accounting record system to facilitate accounting records and financial reports at Love Market Online Market
Teaching Physics at the time of the pandemic

The health emergency caused by the global COVID-19 pandemic has forced university teachers to deeply modify and innovate their teaching methodologies. We wondered how and how much these new teaching methods have worked, whether they have contributed efficiently to the preparation of students and which of these could be used in the future as support for those students having problems in attending lectures and exercises on site, such as working students, students with disabilities and students with special educational needs (I3ES), i.e., characterised by stable or transitory difficulties requiring customised interventions. The survey presented here concerns, more specifically, the Physics Experiments I course, which in Italy is carried out during the first year of the Degree in Physics. The course involves laboratory exercises and, therefore, has significantly been modified by remote teaching.
IMPLEMENTATION OF FORWARD INFERENCE REASONING IMPLEMENTING THE DEMPSTER-SHAFER METHOD FOR DIAGNOSIS OF LUNG DISEASE SYMPTOMS

Artificial intelligence is an effort to transfer intelligence that is added to a system that can be regulated in a scientific context or can be called artificial intelligence so that machines (computers) can do work as humans can do. Lung disease is a condition in which the lungs cannot function normally. Some of the most common include asthma, chronic obstructive pulmonary disease (COPD), pneumonia, tuberculosis, and lung cancer. The Dempster-Shafer method was first introduced by Dempster, who experimented with uncertainty models with a range of probabilities rather than a single probability. Application of the Dempster-Shafer method to diagnose lung disease, it can be concluded that inference techniques are easy to use in designing expert systems to get a conclusion but, it has weaknesses in finding these conclusions if the system has a large enough knowledge base and this will be very much use time and hinder the consultation process.
LibGuides: Copyright, Intellectual Property, and Plagiarism: Industrial Property

A brief guide for students and faculty on the differences and similarities of intellectual properties, including copyright, and their resposibilites when using intellecutal properties
Formal Techniques for Cryptography

Cryptography uses mathematical concepts to design strong cryptosystems and make cryptanalyses for them. Cryptography uses number theory, probability theory, and information theory. We talked about number theory in Chapter 5, therefore, in this chapter, we present the main ideas of the probability theory used in cryptography.
Research on teaching quality assurance under the background of Higher Vocational enrollment expansion based on Information Technology

Higher vocational enrollment expansion is a national policy. How to ensure the quality of teaching is facing new challenges. This paper introduces how to use information technology to prepare lessons before class, manage teaching process and after class. By using information technology and other means, teaching work has been improved, personal teaching level has been improved, and ultimately improve the quality of teaching. With the development of information technology such as computer, Internet, smart phone and multimedia, it is an internal requirement and inevitable trend to promote information-based teaching by using information technology.
A Streaming Accelerator for Heterogeneous Multicore-FPGA Processing of Graph Analytics Applications

This work explores the acceleration of graph processing on a heterogeneous platform that tightly integrates an FPGA with a multicore processor to share system memory. The key research challenge addressed is that of designing an accelerator that exclusively accesses graph data in system memory, enabling the concurrent use of both the accelerator and software. Specifically, the work proposes a streaming accelerator design for the scatter phase of iterative scatter-gather graph processing. The streaming design is implemented and evaluated on the second-generation Intel Heterogeneous Architecture Research Platform (HARPv2). Evaluation of three key graph processing kernels using a combination of synthetic and real-world graphs shows that this design achieves highperformance, up to 1100 MTEPS. Further, the accelerator has high FPGA–to–Memory bandwidth utilization, over 90%. The streaming accelerator also features fine-grain granularity sharing with the CPU that enables integration with efficient load-balancing schemes, such as work-stealing.%%%%M.A.S.
An App-Based IoT-NFC Controlled Remote Access Security Through Cryptographic Algorithm

In the twenty-first century, a human being is passing through the world with generosity of technology and most of its the systems are being operated by automated or remote access control. However, sensor technology is already playing a vital role to control the smart home, smart office, etc. However, it is about to beyond a smart city. Remote access control is a part of the leading technology. An app-based innovative remote access control framework is adding an extra security to make this technology more convenient, secured and illustrate the usability of a person along with an authenticated system of the executive. NFC is used as a communication technology, and a microcontroller camera is also used for detection. An authentication process drives through a smartphone application over the IoT framework. A definitive objective of this paper is to ensure the security of remote access control, notification to the comer and admin, accessibility, usability and permissibility to enter the premises. In order to maintain the integrity and the confidentiality of data cryptographic, techniques like computational 512 bits hash functions are considered and encrypt the hashed data once AES-192 is used. The additional part of this paper is to measure the performance of an employee.
Mosque Management in Kupang City-NTT

The mosque is a building where prayers of the Muslims, and the mosque is essentially a place to do all activities that contain obedience to God alone. besides that mosque is a ministry institution where to print faithful people, worship connecting soul with Khaliq, people who do charity in society life, people who have character, and morally firm.The management of the mosque is an effort to achieve the goal of the mosque, which is to realize the community, the people, who are revered by Allah SWT through the functions that can be donated mosque institution with all its supporters. With this concept, the management of the mosque is the management of the mosque which includes planning, organizing, administrating and supervision to create a congregation in accordance with the wishes of Islam, the society is prosperous, harmonious, safe, with the pleasure, blessing and grace of Allah swt. So that the people are able to give rahmah to nature and its surroundings.The existing mosque management in Kupang City has been implementing the management system in general by using five management elements namely planning, organizing, administering, monitoring and evaluation. of the five elements of management are the most prominent implemented is the organizing and pengadminitrasi while on other management elements still seem less attention, especially in monitoring and evaluation. While the activities that prosper the mosque that is done by the mosque manager in Kupang City is still at the level of routine worship activities just sebagiamana activities in the mosque in general such as praying touched, Friday, feast, division of zakat and meat sacrifice, Taman Pendidika Al-qur'an, Kindergarten and others. and yet there are other activities that can be said to be unique and new to prosper mosques and worshipers such as entrepreneurship and others.