Reviewerly/exHarmony huggingface dataset:
The Interactive Behavior in the Relation between Simple and Complex Structure of Concept and Semantic Relations in an Agricultural Ontology (VocBench)

The purpose of this empirical quantitative study is the measurement and evaluation of the relations between structural domains, including simple and complex structure of concepts and semantic relations. Our scientific guess is that there is a significant relation between the structure of concepts and the number of semantic relations. Moreover, there is the lack of investigation on assessing the behavioral interaction between structural domains to improve information retrieval (IR (performance for achieving cognitive results to generate theoretical argument. The mix-method of deductive and inductive approach is adapted in operating the research methodology, especially for data collection. The research data is selected from a complex and authoritative agricultural ontology (i.e., VocBench). Sample size out of 40000 concepts is around 1500 concepts, which were collected via stratified random sampling. The data analysis results were derived from SPSS and Excel software which employed proportional and inferential analysis. The expected relation is that an increase in the numbers of simple concepts causes the increase of semantic relations and vice versa.
'Human' in Information Security: Using the Inoculation Defense to Confer Resistance Against Phishing Attacks (preprint)

The COVID-19 pandemic has transformed the workspace, thrusting countless employees from organizational work settings to their homes, where they work virtually to access key organizational assets through their cyberinfrastructure. This large-scale virtual workforce imposes drastic cybersecurity issues, threats, and challenges to organizations. To onboard and train employees, companies are left with mainly virtual means to deliver SETA training, using two common training approaches: rule-based and mindfulness. Employees are also facing more challenges and distractions at home where practicing rules and mindfulness can become particularly difficult. Drawing on inoculation theory, this study proposes a new training approach to promote higher resiliency and “umbrella protection” against increasing phishing attacks. This study plans to conduct a mobile phishing SETA training field study at an organization to empirically examine the efficacy of the proposed inoculation-based security training method for work-from-home scenarios.
LibGuides: Online Teaching and Learning Resource Guide For Faculty: Activities

This guide is intended to help faculty learn about library services and resources available during remote learning
Archetypes in Metaconcept Structure

The history of studying the cognitive structure of our consciousness and its minimal mental unit dates back to the beginning of the 20th century and is associated with the name of the Russian scientist S.А. Askoldov, the scientific legacy of whom was not actually forgotten during the Soviet period. Appealing to the methods of representation of knowledge about the world has aroused the interest in the concept category. The basics which reflect primary human values are metaconcept. The present paper proves that the basis of the structure of the meta concept is an archetype.
The 2016 EU referendum campaign on social media: uncivil MPs and campaign groups?

The 2016 EU referendum campaign is said to have been characterised by fear, slander and populist calls to action. But was the 2016 EU referendum campaign that uncivil? This chapter examines the use of political incivility by British MPs and campaign groups during the 2016 EU referendum campaign by comparing their separate and combined use of swear words, slurs, offensive words, negative exclamations and lack of politeness in their Facebook postings. We find that British campaign groups and MPs did run a primarily civil EU referendum campaign on Facebook. Only a small percentage of all Facebook posts contain political incivility, of which more uncivil posts were from campaign groups than MPs and of “Leave” campaign groups than “Remain” campaign groups. In addition, we find tentative evidence that the murder of Jo Cox reduced the use of political incivility by campaign groups, but not MPs, in the final weeks of the campaign.
Pengembangan Proses Pembelajaran SMK Melalui New Media di Kota Bengkulu

Education is a very important thing in human life. The progress of a nation is also determined by the progress of its education, the current education system has begun to follow the times, namely by using information technology, or information technology-based education. One of the information technology phenomena today is new media or new media. In the world of education, there is now a uk online education startup called quipper school. Quipper school tries to become the most complete online learning platform in indonesia that can be used not only for students but also for teaching staff.The only upper secondary education institution that uses quipper school media in the bengkulu city is currently state vocational high school 3. State vocational school 3 bengkulu city is a national standard school with an education system based on skills or skills. Through quipper school media teachers can provide information about lessons directly to groups of students at the same time without having to face to face directly. This study proves that the use of quipper school media has a significant effect on the development of learning for students of smk negeri 3 kota bengkulu, then quipper school's media display is very interesting, making students interested in using quipper school media in helping the learning process.
Use Case Elicitation Method Using “When” Sentences from User Reviews

User review sites are spaces where users can freely post and share their opinions, which are trusted by many people and directly influence sales. In addition, they overcome the limitations arising from existing requirements collection and are able to gather the needs of large numbers of different people at a low cost. Therefore, such sites are attracting attention as new spaces for understanding user needs. In a previous study, a user review analysis was attempted using 5W and 1H, and we inferred that a sentence containing “when” has special information based on the user experience. In addition, the requirements of the derivative activities in a user review can identify more user needs than the general requirements of derivative activities. In this paper, we propose a systematic method of deriving “when” sentences contain meaningful information from user reviews and converting them into use cases, which is one of the requirements of a specification method. This method converts unstructured data into structured data such that it can be included as the user requirements during software development from user comments expressed in natural language. This method will reduce project failures and increase the likelihood of success by enabling an efficient collection and analysis of user needs from valuable user reviews.
Application of a technology based on JavaEE in National Rural Environmental Health Monitoring Information Management System

OBJECTIVE To establish a national rural environmental health monitoring information management system supporting the application and management of four levels of data at the county, municipal, provincial and national levels, to realize the inter-departmental and cross-platform interconnection service of the national environmental health monitoring information management system. METHODS JavaEE and BS architecture platform, Web Service, XML and other data application and exchange service technologies were used to set data entry and audit functions, such as logic verification, extreme value verification and inter-table relationship verification for key variables, and also used to make the computer interface automatically configured. RESULTS The functions of data entry, audit, exchange, historical data query and download, system management and maintenance, monitoring system feedback, data reporting progress of the national rural environmental health monitoring information management system across different departments and platforms can be realized by the JavaEE technology. CONCLUSION The national rural environmental health monitoring information management system was simple in operation and friendly in interface, and had a good application prospect in the field of public health monitoring data management.
Analysis of Potential Customer Predictions at Regional Banks to Reduce Credit Risk

The development of regional banking provides an opportunity for the public to save and borrow to improve the standard of living and business capital. Analysis of potential customer predictions is carried out to reduce credit risk. The risk of crediting is a credit jam or the bank no longer receives interest and installments regularly. This research was conducted to reduce the risk of credit defaults in Lampung regional banks. This research uses the C45 algorithm as a method that helps determine alternative customers who can receive credit from the Lampung area. The C45 algorithm method is used as a decision tree classification model to help determine alternative customers who can receive credit from the Lampung district. To form a decision tree, attributes needed are used as a reference for classification, in this study six attributes are used, namely Address, Age, gender, marital status, employment, income and electricity bills.
TODAKKAPPALLI PADINILAI ONDRIL PAIYAP PAYILUM MAANAVARKALUKKAANA VAASIPPU ANUKUMURAI [READING APPROACH FOR PHASE I PRIMARY SCHOOL CHILDREN]

This research paper gives an insight knowledge about the implementation of KBSR in 1983, during which remedial was much emphasized after each skill was taught. This paper mainly focuses on 2 skills of the 8 reading skills outlined in KSSR. The researcher recommends teaching methods to overcome reading weakness among slow learners by mastering 2.5 (able to read and understand new words) and 2.6 (able to read and understand different reading materials) of the eight skills mentioned earlier. Research work done by Subbu Reddy was taken in consideration when preparing this research paper. He has desisted five methods for mastering eading skills among slow learners. They are writing method, word method, look and read method, and phrase method and story method. This research had given details approaches aligned from simple to difficult, such as: searching for words beginning with a given letter; lock for two lettered words and constructing phrases with two simple words. In conclusion, the research has succeeded in promoting reading skills among slow learners.
Can Human Judgement be Machine-Sourced? An Approach to Measure the Perceptual Dimensions Embedded in Software

Considering the challenges of measuring the perceptual dimensions of the IT artifact, we propose a computational method for developing latent concepts through the lines of code that make up a software artifact. The proposed “machine-sourcing human judgement” approach, combines a novel technique of extracting the semantic properties (meanings) of the code from the software engineering literature with the machine-learning techniques used in the IS literature. Using the illustration of open source software (OSS), we demonstrate that the ‘contextual’ and ‘economic’ limitations of evaluating the creativity of OSS code contributions can be overcome through our approach. The performance of the proposed approach is tested by using a labelled dataset of code contributions created by two experienced OSS developers. We find that our approach of using semantic properties from the “software code” matches in performance to evaluating “textual descriptions” of the code. Potential methodological improvements and future research opportunities are also discussed.
From Computational Indicators to Law into Technologies: The Internet of Things, Data Analytics and Encoding in COVID-19 Contact Tracing Apps

COVID-19 has revealed the critical role data is playing and will increasingly play in the exercise of social control. This article investigates the data life cycle of Contact Tracing Apps—namely, the collection, collation and analysis of data—as a tool of epidemiological surveillance in light of the International Health Regulations (IHR). It highlights the socio-legal implications resulting from the design and technology choices that software developers inevitably make. These choices are often neglected by policy makers due to the inherent technical complexity of the systems and to certain naive belief in technological solutionism. In particular, this article shows, first, that technology-harvest data does not reflect an objective representation of reality, and therefore requires additional context to be understood and interpreted for policy and legal purposes, and second, that the use of data analytics to extract insights from this data makes possible the production of computational indicators, which in turn, enable the development of novel computational applications in the legal domain (law into technologies). In particular, it illustrates how encoding and data representation enable novel computational forms of social control, for instance, through the use of social graphs. By looking at how governments use CTAs to implement pandemic mitigation restrictions (PMRs) such as lockdowns, quarantines, social distancing and testing, it brings forth the ways in which technologies—and thus their bias and ways of framing social reality—become embedded in the law.
GEOCHEMISTRY AND PETROGENESIS OF PLUTONIC MASSES IN NORTH OF SONQOR (WEST OF IRAN)

The study area is a quadrilateral that is in west of Iran and north of Sonqor city of Kermanshah province. This area is 155 km2 between eastern longitude 47˚ and 40 ′ to 47˚ and 52 ′ and northern latitudes 35˚ and 00 ′ to 35˚ and 04 ′. In this range, the intrusive rocks are Olivine gabbro, gabbro, gabbro diorite, diorite, monzonite, alkaline sinite, quartz diorite, quartz monzodiorite, quartz monzonite, quartz alkaline sinite, tonalite, granodiorite, granite and alkaline granite, they were injected in the iron ores of cretaceous which has resulted in contact metamorphism and created hornfels at the site of contact. After comprehensive sampling of all required igneous rocks and according to the thesis objectives, 90 thin sections were prepared and after petrography, 24 samples were selected for geochemical experiments. XRF analysis were performed on 9 samples and ICP and alkaline fusion were performed on 15 samples. According to geochemical and petrological studies, the magmas forming these intrusive igneous rocks are from one region and because of magmatic differentiation or fractional crystallization, they from basaltic to acidic terms. According to the alkaline-silica diagrams, the studied rocks are in the range of tolite, calk-alkaline, potassium-rich calk-alkaline, and shoshonitic series. Based on tectono-magmatic diagrams, samples of this quadrilateral have a meta-alumina nature and granitoids are in the range of arc islands granites, continental arc granitoids and continental collision granitoids. The mineralogical and chemical composition of the acidic rocks in the area show that the granites in this study are type I.
Gravitation of Blockchain in Shared Services: The Next Phase of Service Delivery Strategy

A Blockchain is an immutable, tamper-proof, shared ledger of state changes of a digital asset. It is an incorruptible digital ledger of economic transactions that can be programmed to record not just financial transactions but virtually everything of value. This digital ledger is managed via a distributed network across many nodes that can verify and confirm those transactions through consensus. The implications of the technology are far-reaching but there are conditions that should be met in order for Blockchain to be a viable solution. The purposes of this research are to (1) explore the current Blockchain use cases in Shared Services (2) understand the value created by Blockchain in Supply Chain Management and (3) study the tactical challenges in adopting a Blockchain strategy in Shared Services. In addition to a literature review conducted, we conducted in-depth interviews with selected Shared Services Leaders and experts. Results of our research indicate that Blockchain technology can deliver on expectations and implementation in Shared Services organizations will require simple steps. This study provides the data necessary for executives to build a business case for applying Blockchain technology in Shared Services and investigates the potential that Blockchain has to revolutionize industry and deliver gains in speed, security, transparency, traceability and accountability for a wide range of business processes.
Re-conceptualizing an intervention intensity for students with learning disabilities: Focusing on teachers' selection of evidence-based instruction and instructional modification

본 논문의 목적은 현장 교사들의 시각에서 학습장애 및 학습부진 아동을 위한 집중교수(intensive intervention)의 요건을 재 개념화하고, 개별화 교수 수정의 절차와 유형을 제시하는 데 있다. 학습장애 및 학습부진 아동들에게 가장 집중적 형태의 개별화 교수를 실시해야 한다는 데는 많은 사람이 동의하지만 정작 현장에서 교사들이 어떠한 요건을 갖춘 교수 프로그램을 선정해야 하며, 이후 교수 수정 시 어떤 기준에 의해 어떠한 유형의 수정을 해야 하는가에 대해서는 구체적인 논의나 합의가 이루어지지 않았다. 이에 본 논문에서는 1) 최근 국외 학자들 및 기관에서 제시한 집중교수 평가를 위한 영역(효과성, 중재횟수, 연계성, 포괄적 명시적 교수 원리, 인지, 초인지 및 행동 지원)을 예시와 함께 제시하고, 2) 교사들이 교수에 대한 아동의 반응에 기반 하여 교수 수정을 시행하기 위한 과학적인 절차(데이터기반교수, Data-Based Instruction) 및 수정의 유형을 분석하여 제시하였다. 이러한 내용을 바탕으로 교사들의 효과적인 증거기반교수 평가 및 선정과 교수 수정을 위한 향후 학습장애&#8901;학습부진 분야 연구 및 지원 방향에 대해 논의하였다.The purpose of this study was to re-conceptualize an intervention intensity that is individually modified for students with or at risk for learning disabilities(LD). While it has been known that students with LD require the most intensive and individualized instruction, it has not been discussed about critical components for evaluating intervention intensity and types and procedures for modifying instruction. Therefore, this study provided 1) six dimensions for evaluating intervention intensity which include strength, dosage, alignment, transfer, complexity, behavioral support), and 2) data based instruction(DBI) which is a valid way to individualize along with its procedures and types for instructional modification. Future directions for improving teachers efficient selection of evidence-based instruction and a timely instructional modification are discussed. Future directions for research and implications for practice is discussed based on the results.
Representation of ordered trees with a given degree distribution

The degree distribution of an ordered tree T with n nodes is n→=(n0,…,nn−1), where ni is the number of nodes in T with i children. Let N(n→) be the number of trees with degree distribution n→. We give a data structure that stores an ordered tree T with n nodes and degree distribution n→ using log⁡N(n→)+O(n/logt⁡n) bits for every constant t. The data structure answers tree queries in constant time. Our data structure has improved space complexity compared to the known data structures for ordered trees with lowest space complexity: The structure of Jansson et al. [14] that uses log⁡N(n→)+O(nlog⁡log⁡n/log⁡n) bits, and the structure of Navarro and Sadakane [18] that uses 2n+O(n/logt⁡n) bits for every constant t.
Secure Data Transfer using Cloud Schema

This venture is secure information transmission utilizing cloud construction the principal point is to give security to information transmission. With the rising utilization of web versatile application has been expanding successfully. Various procedures and techniques have been created and used to secure the information base. Cryptography is a totally important field that guarantees the security of information base. By applying encryption strategy, information base assaults can be forestalled. Encryption of information, assists with changing the information into an arrangement that is not discernible. Without the legitimate key, this organization cants be unraveled regardless of whether assailant hacks the data. Sharing message, bundle message resource among cloud customers is to give security a critical issue, so conveyed figuring provider a moderate and successful course of action. In light of ceaseless change in sharing data in a multi-owner route to an untrusted cloud is so far a troublesome issue. This app is developed through Android Studio. Android is best suitable for developing mobile phone application. Today android is mostly preferred in software companies due to its efficiency and convenience.
DIGITIZING MEDICAL RECORDS AND HEALTHCARE MANAGEMENT

The healthcare industry faces a critical need for digital innovation, as personalization and data science prompt patients to engage in the details of their healthcare and restore agency over their medical data.In this chapter, we discuss ways as to how technologies like the blockchain can primarily secure personal and confidential patient data giving permissioned-access approved by the patient herself/himself to related parties like healthcare providers, pharmacies, and healthcare or medical insurers. Patients do not transfer the data to the parties requesting it, but he/she is merely giving them access to view it to enable their work. This protects the privacy of the patients.
ABS: Automatic Bit Sharing for Model Compression

We present Automatic Bit Sharing (ABS) to automatically search for optimal model compression configurations (e.g., pruning ratio and bitwidth). Unlike previous works that consider model pruning and quantization separately, we seek to optimize them jointly. To deal with the resultant large designing space, we propose a novel super-bit model, a single-path method, to encode all candidate compression configurations, rather than maintaining separate paths for each configuration. Specifically, we first propose a novel decomposition of quantization that encapsulates all the candidate bitwidths in the search space. Starting from a low bitwidth, we sequentially consider higher bitwidths by recursively adding re-assignment offsets. We then introduce learnable binary gates to encode the choice of bitwidth, including filter-wise 0-bit for pruning. By jointly training the binary gates in conjunction with network parameters, the compression configurations of each layer can be automatically determined. Our ABS brings two benefits for model compression: 1) It avoids the combinatorially large design space, with a reduced number of trainable parameters and search costs. 2) It also averts directly fitting an extremely low bit quantizer to the data, hence greatly reducing the optimization difficulty due to the non-differentiable quantization. Experiments on CIFAR-100 and ImageNet show that our methods achieve significant computational cost reduction while preserving promising performance.
Peningkatan Pengetahuan SDM Melalui Pendampingan Pengembangan Website Sekolah di Daerah Tertinggal

Abstract. The Partners of the Community Stimulus Partnership Program (PKMS) is the Regional Office of Education and Culture, Bangkala District, Jeneponto Regency, which involves eight State Junior High Schools. The problems are (1) lack of knowledge about the benefits of Information Technology related to websites, (2) there is no official school website that has a .sch.id domain, (3) lack of skills in developing School websites, and (4) lack of knowledge on promotion Schools through digital media management on the website. This activity aims to develop official websites for eight State Junior High Schools that have high economic value to promote the excellence of the School. The method used is the hybrid learning method, namely: lectures, demonstrations, discussions, questions and answers, and companion partners, either directly or virtually. The results achieved are (1) partners know the benefits of Information Technology, especially School websites, (2) partners can develop and manage school websites, (3) the availability of eight school websites that can be accessed online, and (4) capable partners create attractive content and digital media as materials to raise the profile of the School.