Reviewerly/exHarmony huggingface dataset:
Teaching Reform of Economics and Management Mathematics under the Background of Artificial Intelligence———Discussion on Project Driven Teaching Mode

The development of artificial intelligence puts forward new requirements for mathematics teaching in higher vocational colleges. Based on the existing teaching reform and project driven teaching mode, this paper reconstructs the teaching content of economics and management mathematics. From the overall reform idea, teaching content design, project design, teaching implementation process and other aspects, this paper puts forward a set of economic and management mathematics teaching reform plan with the integration of teaching, learning and doingwith students as the main body, project as the carrier and ability training as the core, hoping to effectively improve the effect of higher vocational mathematics teaching.
Pentingnya Bahasa Inggris dalam Perekrutan Crew Kapal Reefer Cargo di PT. KIA Marindo Jusema Jakarta

The importance of English in recruiting the crew for working on board ship becomes the top requirement in selecting the crew who will work in a ship especially ocean going vessel. By doing that stage, the company will understand the capability of the crew when they are working on board ship; they will be able to work as well using English as the main communication tool. PT. Kia Marindo Jusema is a company which is running in manning agency for Deil Corporation, Ltd. The purpose of writing this paper is to understand the importance of English in the process of recruiting crew and the common problem happened in the process of recruiting crew of reefer cargo vessel at PT. Kia Marindo Jusema Jakarta. The methods used in writing this paper include direct observation in the workplace, interviewing staff at PT. Kia Marindo Jusema Jakarta, and library study methods or reviews to get the data needed in completing this paper. The conclusion obtained from the recruitment of the crew of the reefer cargo crew is that the recruitment of crew members has been running optimally because the company prepare the English course for the crew.
Parkinson's disease and hospital admissions in the Brazilian National Health System: Epidemiological findings from 2019 to 2020

Patients with Parkinson's disease have higher rates of hospital admissions and longer length of stay than patients without the disease. This study aims to evaluate the epidemiology of hospitalizations for Parkinson's disease in Brazil during 2019 and 2020.
Learning from IT Security Catastrophes: A Post Catastrophe Analysing Checklist

Background: Our reliance on IT increases the impact of each IT security incident, often making them a costly catastrophe. IT security guidelines and standards aim at recommending security measures, that should prevent IT security catastrophes. However, guidelines and standards tend to be very brought and are not always up to date on security recommendations, protecting from the latest threats.Objective: This work builds up a checklist on how to learn from the latest IT security catastrophes after they have happened. After immediate firefighting has ended, our checklist can be used by both practitioners and researchers and offers suggestions on how IT security catastrophes can be analysed.Methods: We iteratively analysed literature on past IT security catastrophes to build a checklist that considers practice as well as research, to help learning from IT security catastrophes. We chose IT security catastrophes, that best reflect our defined IT security catastrophe spectrum. Finally, we provided an exemplary instantiation of the developed checklist on the IT security catastrophe caused by the ransomware WannaCry.Results: As a result, we developed a checklist that enables both practitioners and researchers to analyse IT security catastrophes in a structured manner after immediate firefighting has ended. Also, we provided a definition, that helps classify an IT security issue as catastrophe.Conclusion: Further iterations with the most recent IT security catastrophes are advised to continually improve our checklist. Our work thereby contributes to the awareness, on how important it is to build methods in order to learn from past catastrophes.
Stability Radii and Uncertainty in Balance Control

The stability radius provides a scalar measure of the distance from instability in the space of the system and control parameters. It is not difficult to imagine that the risk of falling might be inversely proportional to the stability radius, i.e the smaller the stability radius the higher the risk of falling due to sensory uncertainty.
Stretchy hydrogel mimics motion of living organisms

ICTs are increasingly stimulating infrastructure development and social innovation in African cites. In Eastern Africa, public and private companies are engineering far-reaching ICT-based projects for urban service delivery. In their appropriation, these projects have become subject to overarching dynamics. This chapter follows recent deployments of ICT-based projects for water access in Kenya’s capital, Nairobi. I take two examples from two of Nairobi’s largest informal areas where ICT-based projects have been deployed in the urge to formalize access and undercut urban informality. These projects include Water ATMs, automated water dispensing machines for informal areas in Nairobi deployed by the central water provider in the city, and the M-Maji platform, a mobile-based data management platform for water availability in informal areas deployed by a self-organized “goodwill” collective. Thus I explore the different ways through which these projects are shaping urban infrastructure provision in informal areas and how they are being reconstituted through their very situatedness within contexts of urban informality. In doing so, I draw from a theoretical base of urban and technology studies to demonstrate how, while ambitious and standard in their design, their implementation and appropriation is marked by heterogeneous processes of domestication. I argue that these projects and their variegated manifestations radically displace the notion of the ideal type or standard of urban smartness. As such, they reflect the situated natures of ICTs and infrastructures in the making.
Sistem Kehadiran Biometrik Sidik Jari Menggunakan IoT yang Terintegrasi dengan Telegram

The rapid development of technology today is very useful for humans in various aspects of life. One of the impacts of these technological developments is IoT (Internet of Things). Currently, IoT has been widely used in various fields such as manufacturing, offices, public transportation, and education. One of the uses of IoT in the field of education is to create a biometric attendance system using fingerprints. The purpose why use the fingerprints is to reduce cheating committed by students such as leaving absent. By using the fingerprint IoT attendance system, this is difficult to do because everyone has a different form of fingerprint. In addition, this project integrates fingerprint attendance with the Telegram messenger application. All fingerprints and student attendance data are stored on the website. Based on the experimental results, the success rate of this attendance system is 80%, and the accuracy is 89%.
Health Prediction of Satellite Attitude Control System Based on Deep XGBoost-LSTM-BP Cascade Network

Attitude Control System(ACS) is the most crucial ones for satellites in orbit which determines whether the satellite can be available in working conditions. Aiming at the problems of limited applicability of conventional predictions due to the large amount of satellite telemetry data, strong correlation, and complex types, a deep XGBoost-LSTM-BP multi-dimensional health prediction model is proposed. First, the existing data are cleaned and preprocessed to improve the accuracy of subsequent prediction. Then, Gradient Boosting framework in XGBoost is used to carry out analysis for correlation feature on the sequence, and extract effective features from multi-dimensional data, which are employed as inputs of the prediction. Finally, a deep LSTM-Dropout-BP cascade model and nonlinear fuzzy dimension-less model are constructed to estimate the health state of the ACS. The results compared with the traditional LSTM show that the proposed deep XGBoost-LSTM-BP model has superior performance in mean absolute error, mean square error, and root mean square error, which guaranteed the high-precision prediction.
Hall Conductivity of Strongly Interacting Bosons in Optical Lattice

We study the Hall conductivity of ultra-cold bosonic atoms in optical lattice described by the Bose-Hubbard model.We use the quantum rotor approximation, which allows to describe lattices with non-zero Chern numbers.As examples of such systems we consider square lattice in a synthetic magnetic field as well as the Haldane model.We derive formula for the Hall conductivity, which strongly resembles the famous TKNN formula.We investigate the behavior of conductivity depending on temperature and model parameters.It appears that bosonic systems substantially differ from the fermionic ones, e.g. the presence of non-zero Hall conductivity is not directly related to non-zero value of the Chern number.
Improved Hyper Elliptical Curve Cryptography using Butterfly Optimization Algorithm for Secured Authentication and Encryption for IoT Healthcare Applications

Protection of patient's clinical data in remote e-health applications is highly challenging since the current significant authentication schemes face high complexities in terms of computation and communication costs. Elliptical Curve Cryptography (ECC) and its variants tried to reduce these costs but adversely reduced the processing speed and increased the storage costs leading to security threatsfrom various adversaries. Therefore, this paper aims at developing an efficient authentication and encryption methodology to overcome the high computation, communication and storage costs as well as the slow processing issues. This paper proposes Improved Hyper Elliptical Curve Cryptography (IHECC) in which introduces an auxiliary input key for encryption, selected optimally by Butterfly Optimization Algorithm (BOA). This proposed IHECC authentication and encryption utilizes the genus-3 hyper elliptic curves to improve the throughput and security while also reducing the complexity and storage costs through smaller encryption messages. The selection of additional auxiliary input key by the BOA improves the security limitations faced in ECC and its variants. The simulations are done using MATLAB and the experiments are conducted to evaluate the performance of the proposed model by comparing it with the existing Rivest Shamir Adleman (RSA), ECC and IECC schemes. The results showed that the proposed IHECC scheme outperforms existing schemes with reduced computation, communication and storage costs while also decreasing the encryption/decryption time and improving throughput.
Sentiment Analysis and Deep Learning Based Cyber Bullying Detection in Twitter Dataset

When somebody, usually a teenager, abuses or harasses individual on the internet and other digital places, mainly on social networking platforms, this is termed as cyberbullying. Cyberbullying, like all types of bullying, produces psychological, emotional, and physical distress. Every individual's reaction to being bullied is diverse, but research has discovered certain common patterns. In a recent study, we introduced a technique called Hybrid Firefly Artificial Neural Networks (HFANN) to combat cyberbullying. Nevertheless, without considering the sentiment analysis features, accuracy of cyber bullying identification is lowered in this study. The Sentiment Analysis and Deep Learning based Cyber Bullying Detection (SADL-CDD) approach is used in the suggested research approach to address this issue. The punctuations, urls, html tags, and emoticons from the input tweet comments are removed first in this study project. Sentiment feature extraction is performed after pre-processing to improve classification accuracy. The Modified Fruit Fly Algorithm (MFFA) is used to choose the best features from the extracted features. Following feature selection, cyber bullying detection is carried out using a Hybrid Recurrent Residual Convolutional Neural Network (HRecRCNN). The experimental outcome of this study indicates the efficiency of the suggested approach. In comparison to current algorithms, the SADL-CDD method delivers improved classification performance with respect to reduced time complexity, greater precision, recall, f-measure, and accuracy.
Analisis Kebutuhan Media Dan Bahan Ajar Berbasis Augmented Reality Dalam Pembelajaran Ipa Pendekatan STEAM Keterampilan Abad 21 Guru Sekolah Dasar

Augmented reality or berimbuh reality, is a technology that combines two-dimensional and / or three-dimensional virtual objects into a real three-dimensional environment and then projects these virtual objects in real time. The use of AR can increase the activities of students to blend into a real learning environment no longer abstract. The combination of virtual and real objects brings interaction anytime and anywhere, which is capable of presenting 3D objects which are the most important features of AR, resulting in a learning experience that is different from before. The main purpose of this research is to focus on the teacher's views regarding the need for media, teaching materials and to explore the factors that become obstacles in the acceptance of AR, especially in science learning in elementary schools. This study took a sample of elementary school teachers in Purwantoro district, Wonogiri regency with a total population of 35 teachers with a sample of 18 teachers. The sample includes teachers with years of experience in teaching with different schools in Purwantoro sub-district, Wonogiri district. The result is that AR in STEAM learning has not been maximally applied in schools; There is a need for more in-depth socialization and training, the need for media and science teaching materials based on AR in STEAM learning in 21st century skills in primary schools still needs to be developed.
Making musical instruments

The activities here are designed to show the many different ways to produce sound and create music, as well as to demonstrate a variety of craft techniques, many of which will hopefully be new and interesting to children.
European Script Identification using Projection Profiles and Statistical Features for Handwritten Documents

Europe has rich history of Roman Empire and many more but the biggest problem to extract this information is the lack of knowledge of the languages that were used at that time. There are almost 17 scripts[1] that were used in European countries in different duration of time which covers hundreds of languages. In order to preserve these this old document it is very important to digitized these documents. Manual digitization of these document is very difficult as there are very few people who understand these languages and also manual digitization is time consuming process. Hence this paper explain texture based approach for 14 different European script identification. Here we have used 22 features on the basis of GLRLM, GLCM, projection profiles and geometric moment features. Classification is done using SVM classifier and we obtain overall 90.8% accuracy.
PENGEMBANGAN MEDIA KELAS VIRTUAL BERBASIS BLOGSPOT DALAM PEMBELAJARAN MEMBACA CERPEN BAGI SISWA KELAS IX

Learning of reading short stories currently requires media that are in accordance with technological developments. In addition with distance learning because of the Covid-19 pandemic, learning media is needed that supports the target of reading short stories learning. Therefore, this research develops a learning media called Virtual Class. This research aims to (1) develop a learning media called Virtual Class in learning of reading short stories; (2) describe the results of the effectiveness trial of using Virtual Class media in learning of reading short stories for IX grade. This research uses a development method that adapts the waterfall model. The development procedure begins with needs analysis, design, testing, and usage. Data collection techniques used in this research are observation and interview techniques. Data are analyzed using interactive techniques. The results of the research indicate that the Virtual Class media is an effective learning media in learning of reading short stories. In addition, the Virtual Class media contains content/material, a clear display presentation, and practice questions. So, Virtual Class media can be used as an alternative media for learning of reading short stories for grades IX via online. According to media experts, there are several things that must be improved from this media, including (a) improving greetings in the introduction to learning; (b) improve the use of language again because there are still errors in writing capital letters in the material on the blog; (3) the material should be added with examples.
A Low-Cost Modular Image-Based Approach to Characterize Large-Field Wave Shapes in Glass Wave Flume

Abstract Accurately determining water surface elevation and wave shapes in the hydraulic laboratory is critical for experimental research and physical understanding of ocean waves. Existing technologies such as wave gauges cannot capture the continuous wave profile across both space and time. This poses an issue, as nonlinear wave characteristics vary as a function of position and cannot be fully described using such point measurements. Furthermore, wave gauges are intrusive to the flow field. Alternative single-camera methods can’t capture wave characteristics in a large field-of-view properly without sacrificing resolution. In this paper, the authors propose an easy-to-use, low-cost method for measuring wave height and shape along the length of the flume over time. The method utilizes stitching of multiple web-cameras and the application of a Canny-based edge detection algorithm with experimentally determined thresholds and additional filters for maximum robustness and efficacy. Additionally, distortion correction is implemented in a computationally efficient manner. Video is acquired by three Logitech C920 PRO HD cameras recording at a resolution of 1280 × 720 at 24fps. The wave generator can generate waves with frequency between 0.1Hz and 1Hz. The experimental results show that wave height measurements can be obtained with a maximum resolution of 0.83mm with a relative error of ±1.5% when compared with a reference wave gauge measurement. This work demonstrates the ability to arbitrarily extend the horizontal field-of-view while providing more accurate measurement results.
APPLYING BBC LEARNING ENGLISH APPLICATION IN STUDENTS' VOCABULARY MASTERY

Technology has a crucial role in helping students improve their English skills. One of the devices that help them improve their English skills particularly vocabulary is Smartphone with some applications. One of the applications is BBC Learning English. The aim of this study is to explore the use of BBC Learning English application in students’ vocabulary mastery. This is a qualitative study with case study particularly the phenomenological study. The participants of this study were 26 students of Bhayangkara Jakarta Raya University majoring Accounting in the 4th Semester. The data were collected through questionnaire. The results of the study were that students got 10 new vocabularies for each meeting. 23 students could memorize English vocabularies easily. 21 Students had their spirit increased. 17 students agreed about the number of benefits that they got.16 students agreed that the contents in the application varied.21 studentsliked BBC Learning English application.8 students disagreed and 8 students strongly disagreed about no advantages of the application. 12 students agreed, 7 students disagreed about memorizing vocabularies without using the application.10 students disagreed about being nervous using the application.22 students liked the topics in the application. 21 students agreed that videos in the application helped students memorize vocabularies. 21 studentshad mobile phone-based Android.21 students agreed that the application was very flexible to use.20 students agreed that the application was friendly to use.22 students got fun experience using the application. 21 students were proud of using the application. 21 students agreed that the contents are interesting. 21 students would recommend the application. 20 students could use the application easily. 13 students agreed that mastering vocabularies is important. 17 students had the target to master English vocabularies.
PERAN IKATAN PUSTAKAWAN INDONESIA (IPI)PROVINSI JAMBI DALAM MENSOSIALIS.ASIKAN PROFESI PUSTAKAWANDI KALANGAN MASYARAKAT

This paper aims to determine public attitudes towards the librarian profession as a professionengaged in the field of documentation and information. This research uses a qualitative method witha descriptive approach. While purposive sampling is used to solicit informants through the chairmanof the Indonesian Librarian Association (IPI) as key informants, and the number obtained by 15informants. Data collected through interviews, documentation and observation, and data analysisthrough domain, taxonomy and componential. The results of this study indicate that the socializationused by the IPI Jambi Province to the public about the librarian profession is in the form ofcollaboration with various agencies, establishing community libraries, supporting informationliteracy movements among ASNs through reading corner libraries in each office, conductingcoaching in every library of educational institutions and government, Carrying out selection activitiesof exemplary librarian competition, Conducting village library competition, Publishing Magazines /Journals of libraries and Librarians. Obstacles; internal factors; Motivation of Management, Attitudeof Leaders / General Chairmen, limited budget. External; support from related institutions andcommunity institutions. Efforts are made to increase the budget and cooperate with the governmentand the community.
Consonant Changes in Words Borrowed From Sanskrit to Thai and Patani Malay

Southeast Asia was under Indian influence for more than a thousand years so that the traces of Indian civilization can be determined from a lot of evidence. The entry of Indian civilization in this region has shown that Sanskrit has merged with Thai, the national language of Thailand, and Patani Malay, the mother tongue language of Thai Malays who live in the deep south of Thailand. Borrowing is a process of language contact and language change that can happen in all languages and is not limited to borrow in the same language family or the same type of language. All of them belong to different family trees. Sanskrit is a member of the Indo-European language family, whereas the Thai language is accepted to Tai-Kadai and Patani Malay belongs to the Austronesian language family. This study aims to study consonant changes of shared Sanskrit loanwords in Thai and Patani Malay. This research employed qualitative methodology. Data were collected from documentaries. The findings showed that changes in consonant phonemes occurred in both languages according to phonological adaptations such as deletion, insertion, voicing, devoicing, and substitution.