Reviewerly/exHarmony huggingface dataset:
Performance Analysis and Systematic Review of Privacy Preservation-Based Authentication Models and Cryptographic-Based Data Protocols

This paper proposes a privacy preservation-based data security and secure data protocol for distributed Data Storage and Communication (DSaC). An effective performance analysis is done between privacy preservation-based data security approach for authenticated encrypted access and secure data protocol for DSaC in cloud and the approaches are compared with the traditional schemes like Ins-PAbAC, Homomorphic Proxy Re-encryption (HPRE), LAM-CIoT, SA-EDS, Advanced Encryption Standard (AES), and Data Encryption Standard (DES). The proposed privacy preservation approach achieved a minimum time of 12614ms, maximum detection rate of 0.985, maximum privacy factor of 0.645, maximum TPR of 0.785, and maximum TNR of 0.777 for Switzerland dataset and the ACS-based secure data protocol achieved a minimum time of 5527ms, maximum detection rate of 0.953, minimum E2E delay of 85, maximum TPR of 0.817, and maximum TNR of 0.754 for Cleveland dataset.
Earthshaker: A mobile rescue robot for emergencies and disasters through teleoperation and autonomous navigation

To deal with emergencies and disasters without rescue workers being exposed to dangerous environments, this paper presents a mobile rescue robot, Earthshaker. As a combination of a tracked chassis and a six-degree-of-freedom robotic arm, as well as miscellaneous sensors and controllers, Earthshaker is capable of traversing diverse terrains and fulfilling dexterous manipulation. Specifically, Earthshaker has a unique swing arm—dozer blade structure that can help clear up cumbersome obstacles and stabilize the robot on stairs, a multimodal teleoperation system that can adapt to different transmission conditions, a depth camera-aided robotic arm and gripper that can realize semiautonomous manipulation and a LiDAR aided base that can achieve autonomous navigation in unknown areas. It was these special systems that supported Earthshaker to win the first Advanced Technology &amp; Engineering Challenge (A-TEC) championships, standing out of 40 robots from the world and showing the efficacy of system integration and the advanced control philosophy behind it.
Towards Cognitive Ports of the Future

Abstract In modern societies, the rampant growth of data management technologies—that have access to data sources from a plethora of heterogeneous systems—enables data analysts to leverage their advantages to new areas and critical infrastructures. However, there is no global reference standard for data platform technology. Data platforms scenarios are characterized by a high degree of heterogeneity at all levels (middleware, application service, data/semantics, scalability, and governance), preventing deployment, federation, and interoperability of existing solutions. Although many initiatives are dealing with developing data platform architectures in diversified application domains, not many projects have addressed integration in port environments with the possibility of including cognitive services. Unlike other cases, port environment is a complex system that consists of multiple heterogeneous critical infrastructures, which are connected and dependent on each other. The key pillar is to define the design of a secure interoperable system facilitating the exchange of data through standardized data models, based on common semantics, and offering advanced interconnection capabilities leading to cooperation between different IT/IoT/Objects platforms. This contribution deals with scalability, interoperability, and standardization features of data platforms from a business point of view in a smart and cognitive port case study. The main goal is to design an innovative platform, named DataPorts, which will overcome these obstacles and provide an ecosystem where port authorities, external data platforms, transportation, and logistics companies can cooperate and create the basis to offer cognitive services. The chapter relates to knowledge and learning as well as to systems, methodologies, hardware, and tools cross-sectorial technology enablers of the AI, Data and Robotics Strategic Research, Innovation &amp; Deployment Agenda (Milano et al., Strategic research, innovation and deployment agenda - AI, data and robotics partnership. Third release. Big Data Value Association, 2020).
A Novel Hybrid Symmetric Key Encryption Algorithm for Telegu Script

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Students’ Sentence Errors on WhatsApp Daily Status: A Literature Review

The rapid development of social media affects all sectors of human life globally. In the education field, students can take advantage to improve their English skills through social media. Social media like WhatsApp enables students to gain valuable inputs because of its friendly use features. WhatsApp is allowing its users to send pictures, video, and text through the internet connection. To practice comprehensive English writing skills, WhatsApp facilitates students to improve their English skills through writing and updating daily status. This research discusses the data about students’ sentence errors when they create an English story on WhatsApp. The data obtained from e-Perpusnas, research gate, science direct, and Google scholar. Interlingual and intralingual factors are error sources of students’ WhatsApp daily status. Therefore, students can reduce or avoid errors in sentence development share a piece of information in English correctly and adequately.
Technology Leadership: Assessing the Competency Level of High School Administrators and Teachers in the Use of ICTs

Information and communication technologies (ICTs) have a significant role to play in schools and classrooms. The world is shifting towards a new digital era and school administrators and teachers must adapt to prepare their students for it. This study aimed to assess the ICT competency of high school administrators and teachers in Antique, Philippines in terms of cognitive ability, skills, and attitudes. The results showed that both school administrators and teachers rated themselves to have high proficiency in general computer uses and skills in using Microsoft Office and other productivity tools, use of the internet and data management. They were also rated to have high proficiency in applying ICTs in classrooms to create an ICT learning environment. However, the standard deviation shows that the ratings were varied, particularly for use of internet, data management, and application of ICTs in classrooms. There were no significant correlations between the proficiency of school administrator and teachers. However, sex, age, owned devices, internet speed, and hours using the internet per day were found to be significant factors.
Exploration of Machine Learning Forecasting Methods in M4 Competition

There are so many forecasting algorithms and techniques available. The abilities of Data Mining to obtain and gather data from multiple sources is very useful to researcher, practitioner, business and more. From a long list of forecasting algorithms that have been built throughout the years, it will be exhaustive for someone to go through the list one by one to choose which algorithm to use. With M competition established, there are many more new techniques being innovated each time it is organized. This research aims to compare and contrast the machine learning forecasting techniques that are used in M4 Competition, to understand each technique better and to analyse which is the best technique and why. Three machine learning techniques from M4 Competition was chosen to be compared in this research. Each technique is replicated, trained and tested accordingly. M4 competition dataset is used in this research, with 100,000 time series data and multiple data frequency it is enough to replicate the real-world situation. The results indicate that the three techniques have their strength, with RNN+ES technique on top of it. RNN+ES and CNN-TS performed well in relative to Naive2 benchmark, while k-NS model performed the worst. Further research on the datasets and investigation of each model to further improve its capabilities are needed to improve the performance of the model.
HUBUNGAN ANTARA INKOMPTABILITAS ABO, FREKUENSI PEMBERIAN ASI DAN SUMBER INFORMASI IBU POSTPARTUM TERHADAP KEJADIAN HIPERBILIRUBIN PADA BAYI BARU LAHIR

Hyperbilirubinemia is common condition in newborns which refers to yellow color of skin and sclera on the eyes due to much bilirubin in the blood, where jaundice is one of most common emergencies in newborns. This study aims to determine the relationship between ABO Incompatibility, Frequency of Breastfeeding and Information Sources for Post Partum Mothers on the Incidence of Hyperbilirubinemia. Quantitative research design using descriptive analytic method with a cross sectional approach. The population in this study were all post partum mothers who had babies with hyperbilirubinemia at Zahirah Jagakarsa General Hospital, South Jakarta. The sample of this study used the Total Sampling technique. The research data showed that there was a relationship between ABO incompatibility with the incidence of hyperbilirubinemia where the p value = 0.003 with OR value of 4.0, there was a relationship between the frequency of breastfeeding and the incidence of hyperbilirubinemia where p value = 0.033 with OR of 2.3, there was a relationship between Source Information on Post Partum Mother with Hyperbilirubin Incidence where p value = 0.045 with OR 2.1. Therefore, the hospital also advised to improve the quality of service through socialization about hyperbilirubin, so that mothers who have the potential to have babies with hyperbilirubinemia can obtain accurate information and can reduce anxiety and risk of hyperbilirubinemia their babies.
A New Word Mining Method Based on Fast-text Model

It is a challenging task to automatically excavate new words from huge amounts of domain-specific corpus. This paper proposed a new phrase mining method based on a fast-text model. With existing terminology and iterative computing framework, this method can extract high-quality domain terms from a given domain-specific corpus. Experiments on geographic corpus show that mining results of this method are more accurate compared with that of the traditional unsupervised mining method, with an accuracy of 68.6% in the top 500 candidates. Meanwhile, the scoring system is more reasonable and effective. In general, this new word mining method can effectively utilize external knowledge and save costs of manual labeling. It is more practical and important to the construction and expansion of the glossary.
ON THE QUESTION OF THE PEDAGOGICAL FUNCTIONS OF ENVIRONMENTAL PEDAGOGY AND THE CONDITIONS FOR THEIR SUCCESSFUL IMPLEMENTATION IN THE EDUCATIONAL PROCESS OF HIGHER EDUCATION INSTITUTIONS

An analysis of the etymology of the concept of «environmental pedagogy» is presented, its purpose and objectives are updated. The pedagogical functions of environmental pedagogy are listed, their content is disclosed, and the conditions for their successful implementation in the educational process of a higher education institution are outlined. Attention is focused on the conditions for the implementation of the pedagogical functions of environmental pedagogy and their value potential in the educational process of higher education institutions.
Relevance of Cybercrime and Human Maliciousness in Cyberattack

Cybercrime characteristics in cyberattack environment is malicious tendency. Therefore, in this paper, we describe the malicious nature of the attacker who caused the cyberattack. This paper focuses on the cultural values or prejudices that individuals and society give to the malicious tendencies of attackers who cause cyberattacks. First of all, in this paper, we research about the related issues, including cybercrime and cyberattack spread. This study interested in maliciousness which affecting cyber security incident and approached the issue of how integrity, rationality and benevolence will affect cyberattacks. So these attributes have found relevance to money gains or extortion cyberattacks, accidental cyberattacks and persistent cyberattacks. Also, we wanted to find a point of discussion about how the character traits of integrity, rationality, and benevolence affect the cyberattack. How these properties are linked to these cyberattacks and what trends these characteristics would have if they were assumed to occur with an arbitrary probability distribution were studied. Human maliciousness affects cyberattacks. What effect will human good character have on cyberattacks? If a cyber attacker had a sense of integrity, how would this attacker be affected by financial gains or extortion attacks? Usually, people with a high sense of integrity tend to have less or less desire for money or profit taking than those who do not have a sense of integrity. Therefore, it can be judged that a person with a high consciousness has a relatively low probability of a takeover attack targeting financial interests, etc. In this paper, There are used these factors such as sense of charity, impulsive rationality, integrity for probabilistically analysis. We can have the following insights: If the integrity is low, it is more likely to pursue money interests and attack them. Attackers with high impulsive emotions have a high chance of accidental attack, while those with high self-interest have a low chance of sustained attack. In this paper, we considered from a probabilistic point of view, focusing on how the propensity to cause cyberattacks relates to benevolence, integrity and impulse consciousness. This is because cyberattacks are determined by right value system as a moral judgment of human beings. If right value system determines that attack is right, it will cause an attack, and if it is wrong, it is highly likely that it will not cause an attack. This research result could be used as a basis for the probabilistic study of human characteristics in the relevance of cyberattacks and human maliciousness in the future.
KELAYAKAN MEDIA FLICHART KEANEKARAGAMAN JAMUR KALIMANTAN BARAT SUBMATERI PENGELOMPOKAN JAMUR KELAS X SMA

This study aims to describe the feasibility of flipchart media about mushroom diversity in West Kalimantan from the results of several studies in the Biology Education study program in mushroom grouping submersion in class X SMA and describe the development of mushroom diversity flipchart media in West Kalimantan for learning mushroom grouping submersion in class X SMA . The form of research used is to provide an overview of the results of several studies that have been carried out in the Biology Education Study Program FKIP Untan on mushroom diversity in West Kalimantan, which is implemented in flipchart media. Flipchart media were tested by experts, namely two lecturers in Biology FKIP Untan and three biology class X high school teachers. The selected biology teachers are SMA Negeri 1 Sungai Raya, SMA Negeri 2 Sungai Raya and SMA Santun Untan. Based on the validator's evaluation, the flipchart is included in the valid category with an average total validation of 3.6 and is feasible/ can be used as a learning medium in the mushroom grouping class X submersion. KEY WORDS: Feasibility, Flipchart, Mushroom Grouping
Monitoring of distance learning by using Instagram social network

Monitoring of distance learning by using Instagram social network
STEM resource database for WV

First2 Network (https://first2network.org) has been working for the past 10 months with multiple stakeholders statewide (including WV Department of Education and the Higher Education Policy Commission) to develop a searchable online inventory of West Virginia STEM-related assets, resources and opportunities. In this session we will share the data collection form and process, demonstrate and gather input on the current output display and filtering capabilities, and invite participation and dissemination by additional stakeholders. We are seeking feedback to further streamline the input and maintenance of data, assess the ease of access through our output display, and build a broad contributor and user base for this new state resource.
Nursing Students' Satisfaction with E-Learning Concerning Students' Learning Style Preference during COVID-19 Pandemic

Introduction:The coronavirus pandemic has impacted human life and medical education.With the spread of COVID-19 worldwide, many countries declared e-learning education as an alternative method to ensure students continue learning.Being aware of students learning styles can help them find the appropriate ways to learn and benefit from these styles in their future professional journeys.Objective: The study aimed to assess nursing students' satisfaction with e-learning concerning their learning style during the COVID-19 Pandemic.Method: A cross-sectional descriptive design was adopted.The study was conducted at Modern University for Technology and Information, Faculty of Nursing, Egypt.The sample size was 279 students.A self-administered questionnaire was used, including; demographic data, E-learning student satisfaction, and VARK Standard Learning Style Questionnaire version 8.01.Results: It revealed that 64.2% of them were male, 66.3% of their age group was 22≤ 27 years old, and 85.7% used smartphones as preferred devices for e-learning.There was a significant association between students' learning styles and their level of satisfaction at p < 0.05.There was a highly statistically significant association between the studied students' age and learning styles, where χ 2 = 453.9 at p <0.001.Also, there was a statistically significant association between students' registered level and preferred learning styles, where χ 2 = 85.3 at p <0.05.Conclusion: most of the participated students were satisfied with e-learning classes and had a unimodal learning style preference, followed by those who had multimodal learning styles.In addition, more than one-third of them prefer the unimodal and multimodal style in the responses to the VARK learning inventory, including Aural, read/write, and kinesthetic.Recommendations: the research finding helps nursing educators utilize the appropriate teaching methods and strategies to enhance students' learning efficiency, satisfaction, and achievement according to their learning style.Considering students' learning styles during the e-learning classes, including watching videos, will enhance the students' learning achievements.Teaching materials applied during e-learning should include activities that promote students' motivation, perception, satisfaction, and accomplishments.
Online Voting System Based on Blockchain

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Konstruksi Media Dakwah: Tradisi Versus Ekonomi dalam Pemasaran Air Doa

The phenomenon of marketing prayer water by offering blessings is a part of social relations accepted by the Indonesian people. This study aims to determine how blessings are accommodated in the practice of religious ritual therapy associated with certain religious figures. In particular, this study examines the practice of the Air Blessing (Holy Water) ritual of Habib Hasan Al Muhdor, a religious leader from the Shalawat Ahbabul Musthofa Council at Widoro Krejengan Probolinggo. To determine the community's construction of blessed water, data collection methods were used by observing and interviewing 1 assembly leader, 1 head of blessed water distribution and 3 local communities with special needs for blessed water, such as illness, pregnancy and life success. In analyzing the data, this study uses Berger's sacred canopy theory approach. As a result of observing this religious (or economic?) Therapy, society has transmitted material or money into blessings with the medium of Habib Muhdor's prayer water as a form of practice to get through life's problems. This fact shows the desecularization between the sacred and the profane, also shows the other side in practice it is used by certain figures for the purpose of strengthening patronage and capital capital.&#x0D; Keywords: Prayer Water, Blessing, Religious Therapy, Sacred World
THE USE OF COOPERATIVE INTEGRATED READING AND COMPOSITION (CIRC) METHOD TO IMPROVE STUDENTS’ READING COMPREHENSION

In general, most of the students of senior high school have difficulties in comprehending texts. The objective of this research was to investigate the use of Cooperative Integrated Reading and Composition (CIRC) method to improve students’ reading comprehension. The participants of this research were 32 students of grade XI of Social Science (XI IPS 1) of SMA 2 Blitar. This research was a classroom action research which was done in two cycles. The data of this research were collected by conducting observation, interview, documentation, and test with the criteria of minimum mastery (KKM) of 76. The result showed that that the students successfully met the criteria of minimum mastery. It was indicated from the improvement of the students’ mean score from 74.38 in Cycle 1 to 81.41 in Cycle 2. It was also found that the students’ activity was delightful in the class thanks to the method. In conclusion, CIRC method was found beneficial to improve the students’ reading comprehension, and enhance the learning process of reading.
Proposta e Avaliação de uma Ferramenta Web para Vocalização de Gráficos de Barras

ABSTRACTCharts are visual representations of numerical data to transmitinformation efficiently, facilitating understanding. However, thecharts present on the internet often do not have textual descriptionsthat screen reader programs can process. Alternatively, it isincomplete for understanding when this information exists and,consequently, excludes people, such as the visually impaired. Thisarticle presents a web tool that vocalizes the textual description ofsimple and grouped bar charts, using validated description models,one for each chart type. The evaluation verified the proposal’s feasibilityto help people understand the information in the chartsthrough speech synthesis. Tests were applied with participantswithout visual impairment and with visual impairment. The analysisof the collected data shows a positive evaluation of the usersabout using the tool.