Reviewerly/exHarmony huggingface dataset:
An Effective Ant Colony Optimization Methodology For Virtual Machine Placement In Cloud Data Centre

A Cloud environment is a type of service-oriented computer application, and its services comprise SaaS, IaaS, PaaS, and XaaS. The cloud user chooses essential services from dust, and those service models fulfill customers' incoming tasks with service contracts.  Each task is executed in Physical Machine (PM) deployed in the cloud through Virtual Machine (VM), so VM plays a vital role in the cloud environment. A cloud would be a pay as you go platform, and hence many VMs within the physical servers can be created and destroyed. The effective allocation of virtual machines to physical machines permits the economic sharing of physical devices to obtainable data centers. These allocation strategies facilitate measuring and enhancing the performance of the cloud. The focus of this work is to put forward a VM migration technique in the cloud environment, which improves the CPU and memory utilization with reduced traffic congestion in the cloud data centers using bioinspired algorithms. The proposed approach improves the memory management, reduces the traffic, and maximizes CPU utilization the current state of the VMs and PMs is not interrupted.
A Survey of Text Steganography Methods

Phishing is that the most typical and most dangerous attack among cybercrimes. The aim of these attacks is to steal the data that’s utilized by people and organizations to perform transactions or any vital info. The goal of this is often to perform an Extreme Learning Sending encrypted messages frequently will draw the attention of third parties, i.e. hackers, perhaps causing attempts to break and reveal the original messages. In a digital world, steganography is introduced to hide the existence of the communication by concealing a secret message inside another unsuspicious message. This paper presents an overview of text steganography and a brief history of steganography along with various existing text-based steganography techniques.
A Study On Reviewer Characteristics On E-Commerce Applications

Online testimonials have actually really come to be an essential source of information for customers before making an enlightened procurement decision. Early endorsements of a point typically have a tendency to have a high end result on the being successful item sales. In this paper take the task to have a look at the regimens characteristics of very early consumers utilizing their uploaded evaluations on considerable ecommerce systems. Below quantitatively define extremely early consumers based upon their score routines, the helpfulness rankings obtained from others as well as additionally the link of their assessments with item charm. Right here discover that to start with an exceptionally very early customer typically tends to note a greater normal ranking score; as well as also 2nd of all a very early client generally has a tendency to release much better statements. Our analysis of product analyses additionally reveals those exceptionally very early clients' ratings along with advises a one-of-a-kind margin-based embedding variation for truly really early customer forecast. In addition to moreover boosted the version with ranking and also additionally pre-owned two thinking’s for spammer expedition. One is if precise same Statement along with different user ID's under particular similar category/product with accurate exact same tally. Substantial experiments on 2 different ecommerce datasets have actually revealed that our assessment exceeds a series of inexpensive demands.
Professional practices in times of Covid-19 pandemic: Challenges for Physical Education initial teaching training

This article aims at understanding the meaning of the professional curricular internship period experienced by physical education trainees of two regional universities located in the Maule Region, Chile, during the Covid-19 pandemic in the first semester 2020. From the methodological standpoint, the study takes an interpretive-qualitative stance, hence three focus groups were organized and six in-depth interviews were conducted totalling 34 students in the process of professional curricular internship.The group and individual interviews were carried out via Zoom due to the health authority restrictions. The results show scarce contact with the students in the educational establishments, scarce use of social networks as teaching strategies, and a negative impact on motivational levels resulting from virtual teaching The aforementioned issues emerge from the reflective processes and self-learning of the trainees. This study suggests pondering these reflections in the initial teaching training processes taking into account the relevance of the professional curricular internship in the construction of the teaching ethos of future Physical Education teachers.
Modelling Cyber-Physical Security in Healthcare Systems

Health organizations are critical cyber-physical infrastructures. By relying on last technological advances, healthcare organizations are now able to provide more personalized services through open and controlled platforms. Unfortunately, these new technologies that rely on common communication interfaces and standards, enhance security breaches and exposes hospitals to several threats. The paper presents an ontology that allows (1) modelling cyber-physical security concepts in healthcare systems and (2) helps designing incidents propagation mechanisms by focusing on cyber-physical interactions among critical assets.
Multiliteracy Careful Reading Model Based on 21st Century Skills in Primary Schools

Reading comprehension skills are one of the language skills that are often used in learning and everyday life, the reading comprehension skills of students in a classroom must be very diverse and can be categorized into three groups, namely students who have high, medium, and low reading comprehension skills. For students to have an optimal reading comprehension skill it is necessary to apply innovative learning, one of the alternatives is the use of a learning model. 21st-century skills are skills that students in the 21st century must have, as for these skills, namely communication skills, collaboration, critical thinking, and creative and innovative thinking. Multiliteracy careful reading model is a model that can be used to optimally improve reading comprehension skills. The purpose of this study is to describe the application of the careful reading model in reading comprehension learning, as an effort to encourage the development of 21st-century skills in elementary schools. This research uses a descriptive qualitative method. Data collection was carried out using a literature review. The results of this study can be concluded that the multiliteracy careful reading model in reading comprehension learning have learning stages that can accommodate 21st-century skills development.
Delivery and Automation Pipeline in Machine Learning

Growing volumes of available data, cheaper and powerful computational processing, and more affordable data storage continue to accelerate and fuel the integration of business applications and machine learning (ML) models. ML models power more and more applications in production. The following are some well-known model-driven applications.
Responsible Practices in the Wild: An Actor-Network Perspective on Mobile Apps in Learning as Translation(s)

Competence to enact responsible practices, such as recycling waste or boycotting irresponsible companies, is core to learning for responsibility. We explore the role of apps in learning such responsible practices ‘in the wild,’ outside formal educational environments over a 3-week period. Learners maintained a daily diary in which they reflected on their learning of responsible practices with apps. Through a thematic analysis of 557 app mentions in the diaries, we identified five types of app-agency: cognitive, action, interpersonal, personal development, and material. Findings were interpreted from an actor-network perspective using the lens of ‘translation.’ To understand how apps enabled the learning of responsible practices, we analyzed app agency throughout four moments of translation: problematization, interessement, enrolment, and mobilization. Based on our analysis of how students’ app mentions changed over time, we further theorize learning as a sequence of subtranslations that form the larger translation process: learning as translation(s). Each subtranslation cycle is centered on enrolling a different set of human and nonhuman actors, with their competence, into the network. We contribute to the learning for responsibility field by showcasing how app-enabled learning may create real-life actor networks enacting responsibility, and by priming an actor-network pedagogy for ‘learning in the wild.’ We also contribute to the actor-network learning discussion by conceptualizing heterogeneous human–nonhuman competence and the first processual model of learning as translation(s).
Evaluation of Time Complexities of Bayesian Vs Hybridized Word Stemming Techniques for Advanced Fee Fraud Emails Filtering

Communication in Physical Sciences, 2020, 7(2):82-86Authors: Okunade Oluwasogo,  Adekunle,  Afolorunso Adenrele and Adebayo AdegboyegaReceived 18 December 2020/Accepted 20 April 2021Time execution of content-based spam filter was investigated using the Bayesian statistical algorithm against Bayesian statistical algorithm incorporated with a word stemming. The execution time intervals for the algorithms implementation of the two techniques were evaluated by subjecting the filters to manipulated and non-manipulate spam mails. The experiment shown that both single technique (Bayesian) and combined techniques (Bayesian incorporated with word stemming) executed suspicious terms manipulated mails faster (within a short time) compared to non-manipulate suspicious terms mails. Combined algorithms performed better and faster in a sophisticated and manipulated environment. The algorithm is more rugged and performed better when suspicious term/tokens were manipulated to deceit the filter.
DIRECT EMPIRICAL TEACHING INDONESIAN FOR FOREIGNERS: TEACHING TECHNIQUES AND HINDRANCES

This study aims to know teaching techniques applied by English teachers who taught Indonesian for foreigners (BIPA) as several hindrances were encountered such as material decision, terms of Indonesian grammar, characters of foreigners, reading mastery, lack of vocabulary and its use, and so on. The descriptive qualitative was employed by the researcher. The sample was 15 teachers who practiced teaching Indonesian for 15 foreigners in Bengkulu. The methods for collecting the data were using observation checklist and interview guidelines. The collected data were analysed qualitatively by using content analysis. The results showed that teachers employed several teaching techniques. The second, the problems encountered by teachers were lack of experience, low language knowledge, inappropriate method or technique, and age, while the students’ problems were less practice or exposure, mispronunciation, lack of vocabulary, grammatical understanding, and age. This research suggests that the teachers should teach Indonesian in more effective and efficient techniques.Keywords: Teaching Indonesian; Beginner; Teaching techniques; Hindrances
Cognizing Scams and Frauds in Cyber Space and its Preventive Measures

This article aims to provide an overview of the classification of risks in cyberspace. It mainly focuses on general risks that directly affect children and teenagers. There is reasonable proof that the digital world's dangers are expanding at pace with the multiplication of internet consumption. Understanding and developing knowledge about the classification of these dangers and risks will be utilized to set up an adequate strategy for the other stakeholders who work behind digital securityrelated issues. Moreover, the management of cyberspace risks is considered the foundation for effective cyber safety and security awareness. Hence this article emphasizes those identified classifications of risks in cyberspace. Keywords: Cyberspace, Information privacy and security risks, fraudulent transaction, Cyber terrorism, and warfare
Design And Development Of Learning Applications For Special Needs Students Using Android Studio (Case Study: Slb-Bc Yplab)

Education is the fundamental key in the process of understanding and comprehending a subject. Special needs children are children who have special characteristics compared to children in general. One type of special needs children is children with an intellectual disability or often called mentally retarded children. The use of technology can also be applied as a medium, a means that can be used in the form of interesting videos and exercises where both of them are methods and keys for children’s learning. By employing Android Studio as the learning method, it can create an interesting and entertaining learning atmosphere for mentally retarded children.
Effect of Intelligence Gathering on Crime Control in Machakos County, Kenya

The study objective was to determine the effect of intelligence gathering on crime control in Machakos. This research adopted a descriptive case study research designs. Target population was 230 individuals who comprised of individuals participating directly or indirectly in crime control. Krejcie and Morgan sampling method was applied in coming up with the sample size which was 197. This research employed both quantitative and qualitative approaches of analyzing and interpreting data. Statistical findings show that, the use of intelligence gathering, was the most effective crime control practices, second in the category is information sharing, third in the category with community policing and the last effective measure indicated were dispute resolution. Gathering timely information can assist security agents in in Machakos County their efforts to know in advance security threats and develop an immediate proactive strategy. Police should be given the proper level of intelligent gathering training that to allow them to adapt to the new demands imposed by the increasing levels of sophisticated crimes in the society. Police must constantly review the development of their pro-activeness in mitigating the changing patterns of crime and the expectations of the public. The police should uphold Human rights and integrity while discharging their mandate so as to reverse weaning public confidence and hence create a rapport with the public and improve partnership rather than being adversarial.
The Enlightenment of Finnish Pre-service Teacher Education on the Pre-service Training of Chinese Preschool Teachers

Finland is in a leading position in the education field worldwide.This research focuses on the theory and practice of pre-service education for preschool teachers in Finland.Through the analysis of its characteristics and the use of beneficial experience for reference, based on the status quo of pre-service training of preschool teachers in China, this research discovers the enlightenment and experience that can be used in the pre-service education of Chinese preschool teachers.From the perspective of comparative education research, under the premise of a reasonable analysis of the educational philosophy, enrollment system, curriculum provision, teaching method, educational practice, etc. of Finnish preschool teachers' pre-service education, it's found that the pre-service education of preschool teachers in China can be improved in many aspects, such as controlling the quality of teachers from the source of students, reforming curriculum and teaching, enhancing teachers' research ability, and deepening educational practice, so as to improve the quality of preschool teacher training and promote the sustainable and stable development of China's education.
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots

E-commerce has grown substantially over the last several years, and chatbots for intelligent customer service are concurrently drawing attention.We presented AliMe Assist, a Chinese intelligent assistant designed for creating an innovative online shopping experience in E-commerce.Based on question answering (QA), AliMe Assist offers assistance service, customer service, and chatting service.According to the survey of user studies and the real online testing, emotional comfort of customers' negative emotions, which make up more than 5% of whole number of customer visits on AliMe, is a key point for providing considerate service.In this paper, we propose a framework to obtain proper replies to customers' emotional questions.The framework takes emotion classification model as a core, and the final reply selection is based on topic classification and text matching.Our experiments on real online systems show that the framework is very promising.
Keeping the Threat Out Trump’s Discourse, the Wall and the “Other”

This paper discusses the discourse strategies used by former US President Donald Trump in the tweets in which he discusses the construction of the wall between the US and Mexico. Border walls play a very important role in today’s world in that they characterise discourses of exclusion and othering in geopolitical and cultural terms and indicate a revival of nationalism.  By employing Proximization Theory, this paper shows how certain lexico-grammatical features of Trump’s tweets contribute to a nationalist and populist discourse which legitimises the construction of the wall on the basis of the threat coming from an “Other”.
학습자의 학습동기와 방법이 문법 학습에 미치는 효과 연구

The purpose of this study is to examine the most effective learning method for L2 learners to acquire target language by the specially devised input and output tasks. In addition, this study aims to investigate how the results of each task were influenced by the L2 learners’ motivation. For this study, experiments were implemented with 100 female college students. The students were divided into three different task groups: an input, an output, and a control group. The students first completed the motivation survey. Then the input group was provided with mixed input tasks (visual enhancement + meaning-orientation). The output group was provided with output tasks (a picturecued production task), and the control group followed the general tasks of the regular class which were a combination of input and output tasks. The input and output tasks were repeated three times with different reading passages. A posttest was administered immediately following the treatments. As a result, the output task group showed much better performance of acquiring target grammar than the input task group did. In addition, some attributes of L2 learners’ motivation promoted the L2 learners’ performance of the acquired target grammar.
RESEARCH OF SIGNATURE IMAGES APPLIED WITH A FAXIMILE CLICHET

In modern expert practice, the so-called signatures made using facsimile clichés are increasingly becoming objects of research. In fact, these are not actually, signatures requiring handwritten execution, but its images, applied using certain clichés (facsimiles). The determination of a specific method of drawing a graphic object (handwritten or not handwritten, in particular, by means of a facsimile cliché) is within the competence of a specialist in the field of forensic examination of documents. In addition, the establishment of a specific performer of the signature refers to the identification tasks of handwriting research. The solution of handwriting problems during handwriting signatures’ research that served as originals for making facsimile clichés, the prints of which are provided for research, is in some cases possible. However, when assessing the identified signs of handwriting, the expert should take into account that with this method of drawing a graphic object, these signs are not reproduced in full, because a significant part of the handwriting information is lost. The facsimile-recreated graphic is not a person identification. Therefore, it is unacceptable to use facsimile clichés to certify documents related to property or legal relations.
An Intuitionistic Fuzzy Magnified Translation of KM Ideals on Kalgebra

Fuzziness is found in engineering, medicine, manufacturing and other areas in our daily life. Recently, Fuzziness is applied to find the solution of human decision, reasoning and learning. The concept of intuitionistic fuzzification of subalgebra and KM ideals of the K-algebra are considered for testing the satisfaction of the properties. In addition to Intuitionistic fuzzy magnified translations to intuitionistic fuzzy KM ideals in K-algebra also introduced and their several related properties are tested and proofs are presented in this work.
Using Big Data, An Extensible System for Forecasting and Analyzing Relations Among Crimes

While Big Data presents a dilemma for criminal activity analysis, it's even possible to assist them in locating and detecting patterns that can help them crime prevention and investigation. This system intends to draw consideration to current problems in Cyber Crime Investigations – particularly those involving Big Data – as well as potential approaches to combating cybercrime. The proposed system's outcome would help law enforcement and police department agencies a higher comprehension criminal issues and provide insights that will allow them to track operations, forecast the chance of incidents, arrange resources effectively, and optimise policymaking processes. Crime prediction makes use of historical data and, after analysing it, forecasts future crimes based on place and time.&#x0D; Outdated methods become fewer effective as their ability to deliver needed outcomes in an appropriate and supply-constrained manner deteriorates. To prevent and combat crime, one promising choice for Criminal Inquiries is to use tools for computing based on cutting-edge data analytics. As a result, machine learning and computer modelling should be included in the investigations. One of the solutions is computational, which provides quick and effective data analysis to find small sign in big, unstructured data sets.
Ensemble bat algorithm based on Hyper heuristic approach for solving unconstrained optimization problems

Abstract Maintaining convergence and diversification in solving optimization is one of the most important challenges facing metaheuristic algorithms in general and the bat algorithm in particular. Many researchers have suggested some improvements to preserve the ability of the algorithm to find good solutions in a timely manner and also to move away as much as possible from landing on the local optimization zone. In this paper, a hyper-heuristic method was proposed to incorporate the behavior of three optimized algorithms from the bat algorithm. The method is based on the distribution of a specific implementation probability for each used algorithm and then updating this probability iteratively according to the results of each algorithm, and then we use random selection to determine the algorithm used in the current iteration. Some nonlinear models proposed in CEC2005 used to compare the efficiency of the proposed algorithm and compare its results with some state-of-the-art algorithms.