Reviewerly/exHarmony huggingface dataset:
Clarifying Learner Englishes From Greater China Using Native Language Identification — A Pilot Study

The purpose of this paper is to identify the characteristics of learner Englishes from the three major regions of Greater China, namely, Mainland China, Hong Kong, and Taiwan. To achieve this aim, a comparative study is conducted into the three learner Englishes via Native Language Identification (NLI). The average identification accuracy yielded in this study is 60 % on spoken monologues and 59.8 % on written essays. With these two satisfactory accuracies, this paper profiles the three learner Englishes by probing into their best-identifying indicators. The results show that learner English from Mainland China are characteristic for high degree of collectivistic involvement and uncertainty, low informativeness, and underuse of conjunctions; learner English from HKG is highly informative and impersonal; the two types of learner English from Taiwan are similar in that they share an individualistically involved style but differ in that the English essays by Taiwan L2 learners are found to be high on uncertainty and negation but low on informativeness and the usage of conjunctions..
RESEARCH ON ESTABLISHING A MORE OPEN AND SYSTEMATIC NATIONAL GEO-INFORMATION STANDARD SYSTEM – TAKING CHINA’S GEO-INFORMATION STANDARD SYSTEM AS AN EXAMPLE

Abstract. Geo-information can be found, collected, released, shared, stored, combined and applied through geo-information standards. Building geo-information standard system is the basis for a country or organization to carry out the construction of geo-information standards. The excellent geo-information standard system can maximize the effectiveness of all geo-information standards in the system, so as to ensure that new geo-information sources and technical tools can be fully used. According to the analysis on the challenges of the construction of geo-information standards and standard systems in various countries by the author, most countries (including China) need to establish a more open and systematic national geo-information standard system and implement more flexible policies and measures for standards management. In this paper, the specific implementation measures proposed to improve China's geo-information standard system include 1) using policies to encourage the formulation, transformation and utilization of international standards 2) accelerating the top-level design of the construction of relevant information technology standard systems with geo-information as the core element, 3) filling the gap of standards construction by relevant group or enterprise according to the development requirements of geo-information industry, 4) evaluating and monitoring the important and concerned geo-information standards, etc. We think that the above measures will effectively improve overall openness and build better connection with the international standards, and ensure the scientific and forward-looking features during the construction and design of the standard system.
Using of asynchronous circuits to increase protection against side channels attacks

The aim of this study is to analyze the use of asynchronous circuits to improve the security of information systems against side-channels attacks, which are means of obtaining unauthorized access to confidential data and performing unauthorized actions in the system. Side-channels attacks are fundamentally different as compared with a cryptographic analysis and an exploitation of software errors in their focus on the hardware of the system under attack. Integrated circuits unintentionally create electromagnetic signals during their operation and have a number of performance characteristics that can be investigated by an attacker and therefore become the sources of information leakage, i.e., side-channels. The security of modern information systems cannot be fully ensured without increasing resistance to such attacks. One of the methods to counter side-channel attacks is the use of asynchronous circuits, which main distinguishing feature is the refusal from the use of a global clock signal to synchronize individual elements of an integrated circuit in favour of local synchronization provided by the "handshake" mechanism. Integrated circuits designed using asynchronous circuitry have a number of unique benefits that make it possible to effectively resist side-channel attacks, such as timing attacks and attacks with using power consumption analysis. This paper presents a classification of side-channels attacks, describes asynchronous circuits and their properties that increase their resistance to certain types of side-channels attacks, and provides examples that clearly show the increase in the protection of information systems with the asynchronous circuits.
APSA Partners with Zayed University in UAE to organize Workshop on Machine Learning for the Social Sciences

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Model Pengetahuan Berbasis Ontologi pada Domain Big Data di Perguruan Tinggi

The big data phenomenon is also having an impact on the higher education sector. The readiness of education sector is non-negotiable for the face of the big data era so that organizations are able to adapt. Thus, knowledge to utilize big data needs to be owned by higher education institutions in order to innovate. Basically, there are quite a lot of studies that produce models as knowledge to take advantage of big data. However, reviewing the research that has been done previously, it is also necessary to conduct research that discusses the development of models to represent knowledge about big data analytics in higher education institutions. Knowledge that has been represented as a knowledge model can then be interpreted and stored as a knowledge base in a knowledge management system so that knowledge can be managed and utilized better. Based on these problems, ontology can be used to model knowledge. This research will develop an ontology-based knowledge model related to the use of big data in the education sector, especially higher education based on the concepts of analytics, data sources, and platforms. The ontology modeling process in this study is divided into 3 (three) phases: 1) Conceptualization; 2) Implementation; and 3) Evaluation. Based on the evaluation results of ontology measurements using schema metrics, the RR (Relationship Richness) value is 0.62, meaning that the ontology model contains a variety of information; the IR (Inheritance Richness) value is 1.78, meaning that the ontology model belongs to a fairly specific category, and the AR (Attribute Richness) value is 0.06, meaning that the information contained can be improved further. Based on the results of the query test analysis, the ontology is considered capable of retrieving the knowledge stored in it accurately based on validation that adjusts the query results with the ontology.
TruePAL: an AI assistant for first responder safety

This paper presents the development of an AI assistant, Trusted and Explainable Artificial Intelligence for Saving Lives (TruePAL), to provide real-time warning of risks of potential crashes to the first responders. The TruePAL system employs an AI and deep learning technology for saving first responders and roadside crews lives in and around active traffic. A deep neural network (DNN) and a Non-Axiomatic Reasoning System (NARS) are implemented as an AI system. A mobile app with AI interface is developed to perform verbal communication with the first responders. The TruePAL team has developed an explainable AI approach by opening up the DNN blackbox to extract the activation filters of various features and parts of the targeted objects. The combination of DNN and NARS makes the TruePAL system explainable to the users. TruePAL ingests on-board cameras, radar, and other sensor signals, analyzes the environment and traffic patterns to generate timely warning to drivers and roadside crews to avoid crashes. The TruePAL team, in collaboration with the Miami/Dade Police Dept., has designed five use cases and multiple subscenarios in a CARLA driving simulator to test the capability of TruePAL in timely warning to the first responder drivers in potential crash scenarios. We have successfully demonstrated its capability of timely warning in over a dozen scenarios based on the use cases. The preliminary test simulation results show that TruePAL could provide the drivers and crew members advanced warning before a crash occurs.
Design of Web App for Online Food Services

Abstract: Online Food Ordering has become an indispensable part of everyone's lives. The internet has grown so big on a various scale like what was it before and that has greatly affected the lifestyle of the whole world. This introduced a new concept of online ordering and delivery of food services. Thus, Online Food Ordering Application primarily helps in delivering the following tasks of order and delivery of food services. The online food ordering system provides convenience and is made for catering to the needs of the customers. Nowadays every person prefers to order food online rather than cooking food at home because of the quick and easy availability of these services. Because the meal menu is available online, it is simple to keep track of orders, manage a client database, and improve the quality of food delivery service. This technology enables the user to choose the meal items that they want from a menu that is provided. The meal products are ordered by the user. The information about the user is kept confidential and is only saved in the database if necessary. Each user is assigned a unique id and password that cannot be shared. As a result, it allows for the ordering of food products safely. Keywords: Web application, food ordering, Online, graphic, Rating.
SUSPICIOUS E-MAIL DETECTION USING VARIOUS TECHNIQUES

In today's world, email spam has become a serious concern, since the number of internet users has grown rapidly. Illegal and unethical practices, such as phishing and fraud, are taking advantage of the diverse classes of users that use different web services. Users that send unsolicited emails with the intention of disrupting or attracting legitimate customers are known as "spammers" by infecting the user system by sending malicious links in a spam email. Spammers prey on those who are unaware of their deceptions by posing as real people in their unsolicited emails and setting up bogus social media profiles and email accounts. These fraudulent spam emails must be identified. The work is an attempt to analyze different machine learning approaches to serve the purpose. This article uses Deep Learning methods for the identification of spam emails with high precision and accuracy.
Application-oriented Transformation and Development of Private Undergraduate Universities Based on Fuzzy Clustering

<p style="text-align: justify;"><span style="font-family: "times new roman";">With the rapid development of our country's economy, the society's demand for talents is also increasing. As the cradle of cultivating professional technical talents, private schools have gradually become an indispensable education base in the higher education system. Among the many types of courses, there are many subjects with application as the main characteristic in our country. For example, computer and information engineering, electronic information technology, etc. Then, for how to transform and develop applied courses in private undergraduate colleges and universities, this paper conducts certain research based on fuzzy clustering. This article mainly uses survey questionnaire method, expert analysis method, comparative research method and data access method to conduct research on the application-oriented transformation of private undergraduate colleges and universities. Through investigation and analysis, it is found that there are indeed some problems in the application-oriented transformation of private undergraduate colleges and universities in our country. 86.52% of people think that there are still big problems in the construction of the teaching team.</span>
Online VetMeds System

Abstract: Online VetMeds is web based application. User can post requirement for medicine of their pets. User can purchase medicine online. Medicine delivery provided by the nearest associate pet store. Prescription is mandatory for ordering medicine. As per prescription user can search medicine and useful information to order. This application provides logins to the users. They can maintain their account. The main objective of this medical Booking Store system is to take the whole medical store online so that it is reachable to customers 24/7. Overall online medical booking store will become an efficient, highly responsive and an extremely accurate system. Keywords: pet, medicine, web application
Advancement of Digital Text Reading Perceived by Indonesian EFL Students Amid the Pandemic Covid-19

Reading is one of the essential English skills to understand written information in all available sources. In recent days, reading is not merely found in printed forms but also can be accessed in digital matters. During the pandemic COVID-19 era, digital text reading is highly required rather than printed issues. In the Indonesian context, digital reading is increasingly needed as the replacement for physical learning activities to cut the COVID-19 spreads. However, there have been a lot of views regarding the use of digital text to promote English reading instruction. This study discusses the advancement of digital text reading coped with Indonesian EFL students during the pandemic COVID-19. This study addressed a systematic literature review to illustrate the enhancement of digital text reading among Indonesian EFL students during COVID-19. Using the systematic literature review, the researcher arranged the study's data through various previous studies discovering the use of digital text reading. The present study's findings describe several issues related to the advancement of digital text reading encountered by Indonesian EFL learners amid the pandemic. The study demonstrates online reading among Indonesian EFL students, teachers' and students' perception of online homework, digital reading strategies in ELT, and the impact of digital design on English reading activities and comprehension.
Making one’s point of view: Approaching literary analysis and critical theory through David Bowie’s “Lady Stardust"

Some years ago I used a Bowie song, “Lady Stardust”, for a warm-up activity at the beginning of a BA course in English Literature focusing on gender issues from the Romantic Age to the present. Resulting from that didactic experiment, this article aims at proposing ways in which Bowie’s song and its lyrics can help students approach the interconnections between textual analysis and critical theory (Gender and Cultural Studies) by rooting them into language and social history. Furthermore, through reference to Sound Studies and ‘aurality’, it also invites the reader to reflect on how music can offer a valuable contribution for approaching literary and cultural studies, involving some pedagogical reflections inspired by Elena Madrussan’s recent volume Formazione e musica: L’ineffabile significante nel quotidiano giovanile (Mimesis 2021).
implementation of modified blowfish using random number generator for quantum computers

Classical computers are quite safe from attacks by implementing traditional cryptographic techniques and algorithms but in future as quantum computers will come in full fledge, our current cryptographic algorithms will become vulnerable. In this paper authors have presented a modified blowfish scheme named as pseudo random generated blowfish encryption algorithm which can provide security to our data quantum computers also. Analysis of algorithm is done on classical computer as well as on quantum simulators (IBM qx) and result of comparison is also presented. The theoretical security measures are also discussed in this paper.
Factors Associated with Cybercrime Awareness Among University Students in Egerton University, Njoro Campus, Nakuru County, Kenya

Currently, the level of reliance of ICT among university students across the globe is unpresented. Students are heavy internet users because they perform the majority of their daily communications and school related activities on the internet. As a result the students are highly exposed to cybercrime victimization. Therefore, it’s important to determine issues surrounding their level of awareness of cybercrime. This study sought to examine the factors associated with students’ level of awareness of cybercrime at Egerton University, Njoro Campus, Nakuru County, Kenya. In order to achieve this, three specific research objectives were addressed; to determine the association between gender and cybercrime awareness among university students, to examine the association between age and cybercrime awareness among university students and to find out the relationship between the level of study and cybercrime awareness among university students. The study was based on the theory of technology enabled crime, policing and security. The study adopted cross sectional design and stratified random sampling technique to select respondents from the study population. The unit of analysis for this study was students at Egerton University. Questionnaire was used as a primary data collection instrument and was administered on the web. The collected data was analyzed using inferential and deceptive statistics. The study found no association between gender and the level of cybercrime awareness but it found a significant association between age of students and the level of cybercrime awareness. In addition, there was a significant association between students’ level of study and cybercrime awareness. The study has provided information necessary for the design and implementation of cybercrime awareness activities, thus helping in the implementation of Kenya’s National Cybersecurity strategy.
Identification of Groundwater Quality by Statistical Methods and a Mathematical Method in the Khemisset–Tiflet Region

Groundwater is one of the most important natural resources that is overexploited and extensively polluted by human activity.Furthermore, drinking this dirty water might have major consequences for human health.Before using groundwater, it is consequently required to conduct a precise and regular assessment of its quality.Furthermore, for five monitoring stations in the Khemisset-Tiflet region, cluster analysis (CA), principal component analysis (PCA), and a fuzzy logic technique were utilized to analyze water quality.The CA classified the sample sites into three categories.The PCA identified temporal characteristics of water quality status.Group I include stations characterized by high temperature and low DO, COD, and BOD5 values.Group II includes stations characterized by high values of pH and low concentrations of NO 3 -, Cl -, SO 4 2-and turbidity.Group III includes stations characterized by high concentrations of NO 3 -, Cl -, SO 4 2-and turbidity and low concentrations of pH.In addition, fuzzy logic to reveal more information about groundwater quality.In effect, water quality in spring and winter was the best; the parameters responsible for the deterioration of water quality are NO 3 -, Cl -, SO 4 2-and turbidity.
Construction of Operation Portraits Based on a Cloud Model for Power Distribution Networks

With the high proportion of new energy access in power distribution networks, the operation of distribution networks becomes more uncertain and complex. The mechanism on how to extract features that embody the full perspec tive of the distribution network from the diverse and varying conditions is of great significance to master the operating property of distribution networks under the high proportion of new energy. This study investigates the portrait construction of power distributions. A data-driven method of portrait construction for a distribution network based on a cloud model is proposed. First, the indexes describing the operation of the medium voltage distribution network (MVDN) and low-voltage station area (LVSA) are established. By means of statistics, fuzzy label templates are provided for the indexes. Then, based on the daily monitoring power grid data, the operation index is calculated to form the collected samples, and the reverse cloud generator is used as the data-driven method to process the samples, and the fuzzy model of cloud parameter representation is obtained. Finally, the fuzzy distance between the obtained fuzzy model and the label template is calculated, and the scores of operation indexes are obtained, thus forming a portrait method of distribution network operation behavior. Taking the IEEE 33 distribution network and real distribution network as examples and taking the LVSA as an example, it is verified that this method can effectively construct the distribution network operation portrait.
Banning Novels at Schools in Indonesia: An Investigation of Education Policy Execution

Novel is one of the literary works that people like to read for several reasons. The readers are not only adults but also teenagers and children. Novels can be a good source of knowledge for everyone including students. Reading novels can give many positive impacts in terms of language and emotions. However, the existence of novels is banned at some schools in Indonesia. The banning is based on several reasons. This paper investigated the perspectives of students and teachers related to the banning of novels in a school in Indonesia. This research used a descriptive qualitative design. The data were collected through semi-structured interviews with students and teachers at the school. The result showed that there were several problems related to the use of the novels in terms of kinds and the reading time of the novels. However, the use of novels is also beneficial in terms of emotion, habits, and knowledge. Considering the advantages and the disadvantages of novels at school, this research provided suggestions related to the ban of novels in terms of kinds of novels and reading time.
DUT Guide: Inclusive online teaching and learning: Examples from HE teachers during the COVID-19 lockdown

During the COVID 19 lockdown, higher education (HE) teachers and students had to adapt to working, interacting and learning in digital spaces. This guide provides examples of HE teachers’ inclusive and effective online teaching and learning practices during the lockdown. The examples include curricular, pedagogic, organisational, relational and affective approaches, all of which were implemented by teachers intent on providing inclusive and effective learning opportunities for their students. This selection of examples is offered to HE teachers seeking inspiration for the development of their own inclusive and effective online teaching and learning.
Invoice Management System Using Salesforce

An invoice management system is an online internal business system that manages invoice documents from vendors and suppliers. It is a tool that generates billing for rendered services and products respectively. Keywords Salesforce,SalesforceAdmin, SalesforceDeveloper, Apex, Force.com, invoice generating.