Reviewerly/exHarmony huggingface dataset:
Classification of Unwanted SMS Data (Spam) with Text Mining Techniques

Text mining, which derives information from written sources such as websites, books, e-mails, articles, and online news, processes and structures data using advanced approaches. The vast majority of SMS (Short Message Service) messages are unwanted short text documents. Effectively classifying these documents will aid in the detection of spam. The study attempted to identify the most effective techniques on SMS data at each stage of text mining. Four of the most well-known feature selection approaches were used, each of which is one of these parameters. As a result, the strategy that yielded the best results was chosen. In addition, another parameter that produces the best results with this approach, the classifier, was determined. The DFS feature selection approach produced the best results with the SVM classifier, according to the experimental results. This study establishes a general framework for future research in this area that will employ text mining techniques.
Assessing the Relevance of Cybersecurity Training and Policies to Prevent and Mitigate the Impact of Phishing Attacks

Social engineering attacks such as phishing are performed against companies and institutions and thus, cybersecurity awareness and training of technical and non-technical human resources play a fundamental role in preventing and mitigating a set of cyberattacks.This paper presents a comparative study based on simulated phishing attacks on two organizations with contrasting security practices and procedures.The first organization is a secondary school, with no IT staff, no defined information security policy, no guidance from top management on cybersecurity issues, and no training actions.The other is a company with a permanent IT staff, a defined security policy, and where its employees receive regular cybersecurity awareness training exercises.Two simulated phishing attack scenarios were deployed to compare these organisations regarding the behaviour of their employees and the readiness of their IT staff and to verify if the employees' academic degree is a decisive criterion to protect them against this type of attack.The main results show that the rapid reporting and action of the IT staff in the organization where it existed, was an effective measure to mitigate the impact of the simulated phishing attack.In addition, the results show that about 18% of school employees leaked their data, compared to about 10% of the company.Furthermore, this study allows us to deduce that the academic level of employees does not seem to be a decisive criterion to protect them against phishing attacks.
Attachable Inertial Device with Machine Learning toward Head Posture Monitoring in Attention Assessment

The monitoring of head posture is crucial for interactive learning, in order to build feedback with learners' attention, especially in the explosion of digital teaching that occurred during the current COVID-19 pandemic. However, conventional monitoring based on computer vision remains a great challenge in the multi-freedom estimation of head posture, owing to low-angle annotation and limited training accuracy. Here, we report a fully integrated attachable inertial device (AID) that comfortably monitors in situ head posture at the neck, and provides a machine learning-based assessment of attention. The device consists of a stretchable inertial sensing unit and a fully integrated circuit-based system, as well as mechanically compliant encapsulation. Due to the mechanical flexibility, the device can be seamlessly attach to a human neck's epidermis without frequent user interactions, and wirelessly supports six-axial inertial measurements, thereby obtaining multidimensional tracking of individual posture. These head postures (40 types) are then divided into 10 rotation actions which correspond to diverse situations that usually occur in daily activities of teaching. Benefiting from a 2D convolutional neural network (CNN)-based machine learning model, their classification and prediction of head postures can be used to analyze and infer attention behavior. The results show that the proposed 2D CNN-based machine learning method can effectively distinguish the head motion posture, with a high accuracy of 98.00%, and three actual postures were successfully verified and evaluated in a predefined attention model. The inertial monitoring and attention evaluation based on attachable devices and machine learning will have potential in terms of learning feedback and planning for learners.
Flood Modeling of Jatiroto River Using HEC-RAS to Determine Effective Flood Control Alternatives

Jatiroto River, located on the border of Lumajang and Jember Regencies, is one of the rivers with a risk of flooding. This is due to changes in land use and high sedimentation. For this reason, flood control efforts are needed to reduce disaster risk. This study aims to conduct flood modeling on the Jatiroto River and propose the most effective flood control. In this paper, the flood modeling uses HEC-RAS 5.0 with Q25y and Q50y obtained from analyzing rainfall data from 9 rainfall stations. The first modeling was carried out to produce a flow hydrograph on the upstream river section. The second modeling is carried out for the downstream river section with lateral flow from the Jatiroto tributaries. The flood modeling results show that the existing cross-sectional capacity of the Jatiroto River cannot accommodate Q25y, so it overflows in several cross-sections, especially the downstream section.By normalizing the river's cross-section and constructing an embankment in the downstream area, the flow simulation results on flood modeling show that the flood discharge at 25 years and 50 years does not overflow in all cross sections. Therefore, the normalization and construction of embankments become the effective flood control option in the Jatiroto River.
The mind and the political

The philosophy of mind has traditionally engaged with issues related to individual minds in isolation by focusing on issues such as mental function, representations, the problem of consciousness, and the mind-body relation. The recent interdisciplinary research of 4E cognition has stretched the boundaries of philosophical works on the mind, exploring the dynamics of the interactions between mind, body, and physical and social environment. Maiese and Hanna’s (2019) work The Mind-Body Politic sets a new ambition for philosophy of mind, namely to develop what they consider to be a new critical and political philosophy of mind. They do engage with the classical problems of philosophy of mind such as Cartesian mind-body dualism and they use their own account of essentially embodied minds in response to mind-body dualism. Most remarkably though, they extend the essentially embodied minds thesis to develop “a critique of contemporary social institutions”, and as a result to change them for the better (p. 2). Extending the essentially embodied minds thesis, they investigate a wide range of topics such as habit formation, mental health, and education. In the process, they analyze the influence of neoliberal institutions on the mind and how it is possible to develop new and constructive social institutions. This is indeed a very timely and highly needed work to extend the literature of embodied cognition to social and political life. I am very sympathetic to Maiese and Hanna’s project to develop a political philosophy of mind, showing how the current neoliberalism’s ever-increasing assault on normative social institutions would affect individuals’ minds. It is also extremely informative that they show how the insight from embodied cognition, affective processes and political philosophy can help us envisage and organize new social institutions that are productive and serve to improve human conditions. Having said that, I have some reservations and open questions about the way Maiese and Hanna lay out their project. In this review, I present a very brief account of Maiese and Hanna’s political philosophy of mind and present my own questions and critique regarding the general outline of their project. I focus on three main shortcomings: their dualistic view of the way society is organized and works, the confusion in some of their conceptual frameworks and their account of politics, and finally their analysis of the social institutions, especially the way they see new institutional structure can be formed.
Greening a Post-Industrial City: Applying Keyword Extractor Methods to Monitor a Fast-Changing Environmental Narrative

Worcester, Massachusetts (population just under 200,000) is the second-largest city after Boston in Massachusetts.It grew exponentially during the American industrial revolution; factories dominated its landscape until the mid-20th century when the city slid physically, and psychologically, into post-industrial decline.As one local magazine reports, residents took an abject view of the city: 'Nothing happens in this dump.There's never any development' (Whitmore, Bernard, 2018).Since the 1960s, Worcester's city government and residents have tried to "revitalize" the city.Some grandiose plans failed, but other small, creative changes took root.Today momentum is building, and the city is now How to cite this book chapter:
Introduction To Machine Learning Techniques

Machine learning (ML), an integral part of artificial intelligence (AI), has emerged as one of the most important technologies in today’s world. AI has the potential to make decisions like humans and consists of standard rules encoded in the form of computer programs. Computers and computational techniques are included in the central field of computer science. The ML algorithms learn from the processed data and build predictions on that data. In the realistic scenario, supervised learning is applied for different applications such as classification of images, fraud detection, assessment of risk, prediction of the score, spam email detection, etc. In an unsupervised learning technique, algorithms learn from simple examples and do depend on certain related responses. An algorithm itself determines the insight and hidden patterns from data. It is the same as a human control system to learn newer things.
PERENCANAAN STRATEGIS SISTEM INFORMASI UNTUK BIRO JASA TEKNIK LISTRIK STUDI KASUS : PT TRIJAYA TEKNIKA MANDIRI

Abstract&#x0D; Currently, the business activities of an organization are inseparable from the role of Information Systems (IS) and Information Technology (IT). Information Systems are a reliable tool to win competition in the industry, assist organizations in realizing efficient back office processes, improve service quality to consumers, help make decisions, plan ahead, expand markets, and market products.. In operational activities So far, the information system used at PT Trijaya Teknika Mandiri only uses administrative support applications, namely Microsoft Word, Microsoft Excel, Autocad 2004, Photoshop CS where the use of these applications does not make a competitive strategic contribution to the company. In this study, John Ward's PSSI (Information System Strategic Design) concept became the basis for developing the IS/IT strategic planning formulation used in PT Trijaya Teknika Mandiri. IS/IT strategic planning is used to coordinate the needs of business strategy and IS/IT to obtain value from the organization in terms of competitive advantage. The process of identifying information needed for strategic planning of an information system begins with the organizational environment which includes the vision, mission and goals of the organization , identify the internal and external environment of the organization , as well as internal and external. The end result of the draft Information System Strategic Planning is an IS/IT Management Strategy, Information System Strategy (IS Strategy), and Information Technology (IT) Strategy..
ANALISA KETEPATAN PEMANFATAAN WAKTU BERMAIN GAME

Abstract&#x0D; Games Online give opportunity to good activity if wise scheduling timing, is special to children, because the children must be playing with motoric organs and always interaction together to developments capability EQ, IQ and SQ. Timing grow up mindset the children, still step process studying mark up capacity memory and still studying development interaction sociality with all friends to understands and can be adaption emotional on interaction with all friends. With information education give the children understand what them must to do to devide time playing by games online, playing tradisional and studying
Analisis Hierarchical Clustering Multiscale Bootstrap (Kasus: Indikator Kemiskinan di Provinsi Sulawesi Selatan Tahun 2020)

Hierarchical cluster analysis is a statistical analysis used to group data based on their similarities. The single linkage, complete linkage and average linkage methods can be used to group data using distance techniques. There is a large difference in the number of poor people in urban and rural areas in South Sulawesi Province, so an analysis is needed to classify areas that have the same characteristics based on poverty indicators. For this reason, these three methods are used. However, the results of this analysis are only based on the similarity measure based on the distance technique used. Thus, the multiscale bootstrap method is used to obtain the validity of the resulting clusters. The results of the research using these three methods are four clusters with different characteristics. By using multiscale bootstrap, it is found that in single linkage there are four valid clusters, for complete linkage there is only one valid cluster and on average linkage there are three valid clusters. So it is found that single linkage is the best method in classifying these cases.
Designing a Conceptual Model of the Process of User Interface Construction

Article proposes a conceptual model of the process of user interface construction for information systems, within which it is proposed to include the user into the design process, which will solve the existing problems of the adequacy of the interface and user activity in the subject area. In this case, the user is invited to compose a description of his activities in the subject area in a language close to natural by himself. The sequence of steps with the participation of the user is presented, which constitute a conceptual model of interface design. The scientific novelty of the research lies in a fundamentally different approach to the interface development, in which the user designs the application forms, relying primarily on his professional activity, and user doesnt need take into account the structure of the stored data or their processing functions, he connects data objects needed to his professional actions. The advantages of the proposed conceptual model are that it becomes possible to consider the users activity as a whole, and on this basis to build an interface that best suits this activity, which will make the interface more understandable, reduce the level of discomfort when interacting with it, and increase user satisfaction.
FRAMING AND NARRATIVES AS ASSISTANTS IN ADVANCING A SCIENCE-ORIENTED MINDSET. THE EXAMPLE OF THE POLICE IN THE BALTICS

Country-specific knowledge offered by police science is a necessary precondition for successful policing. However, cursory data on police science in the Baltic countries raises many questions about the real use of scientific knowledge opportunities in these countries.The paper elaborates on a framework to advance a science-oriented mindset in the police. Principles of narratives and framing were used to overcome a possible conflict between scientists and practitioners, and bridge all the parties related to policing. In this framework, scientists should take the lead. External, internal, and strategic factors, as Alisson’s three key management functions, were used to specify factors of the framework in the research. The framing process that holds a focusing function allows the use of discovered narratives and presents a variety of possible future directions. Creating a metanarrative with beginning, middle, and end grasps all the agents and ties into future developments.
Dissertation as a research project: qualification and scientific criteria of consistency

Introduction. The relevance of the topic of the presented article is justified by the changes in the regulatory conditions and the social situation for the functioning of dissertation councils. In the first case we are talking about the creation of a new model of awarding academic degrees; in the second case about the growth of requirements to the quality of dissertation research. The aim of the work is to reach an understanding of a dissertation as a research project through the analysis of qualification and scientific criteria of competence. Methods. The article is written within the neopositivist paradigm and is conceptualized in terms of the operationalist approach. Results and their discussion. The research of qualification and scientific criteria of dissertation consistency, as well as our own experience of work in dissertation councils has led us to the following results: 1) work with the text of theses should be preceded by a systematic study of the existing discourse on the social problem; 2) practical recommendations should take up the volume of the last paragraph of the theses; 3) internal unity is ensured by using the algorithmic-modular approach, according to which every module of the text has its own rules; 4) the theses are to be integrated into the overall system of theses and dissertations. &nbsp
Preimage attacks on reduced‐round Keccak hash functions by solving algebraic systems

Abstract In this paper, improved preimage attacks are presented on 3‐round Keccak‐256 and Keccak‐512 and 4‐round Keccak‐256 based on algebraic methods. The authors propose some new properties about the components of Keccak permutation, reconsider the existing preimage attacks, and further refine the linearisation processes of quadratic bits to lower the complexities. For 3‐round Keccak‐256 and Keccak‐512, priority is given to values with higher probability for quadratic bits, such that the guessing complexities decrease from slightly more than 2 65 and 2 440 to 2 64.79 and 2 424 , respectively. For preimage attack on 4‐round Keccak‐256, some strategies of saving degrees of freedom are applied to solve Boolean multivariate quadratic systems and reduce the guessing complexity from 2 196 to 2 188 .
Design and Build Android-Based English Learning Media on Descriptive Text Material

This study aimed 1) to find out how to design Android -based English learning media on descriptive text material, 2) to determine the feasibility of Android -based English learning media on descriptive text material at MTS N 2 Surakarta. This study used research and development (R &amp; D) research methods with the research procedure model proposed by Dick and Carey and the ADDIE model consisting of Analysis, Design, Development, Implementation, and Evaluation. Data collection techniques were through interviews, questionnaires, and documentation. Feasibility validation was carried out by media experts, material experts, and English teachers from MTs N 2 Surakarta. Data analysis was using a Likert scale to determine the percentage score of the media feasibility and passes black box testing. The results of this study were 1) to produce an Android -based English learning media on descriptive text material. From the results of the black box testing carried out, the learning media could be operated properly on Android smartphones according to their needs and functions, 2) the feasibility of Android . based English learning media on descriptive text material according to the assessment of media experts was to get a feasibility percentage of 76% with a feasible category, assessment from material experts was to get a feasibility percentage of 82% with a very decent category, and the feasibility assessment by ant English teacher at MTs N 2 Surakarta was to get a feasibility percentage of 80% with a decent category.
Application of Fuzzy Logic to Find Out the Amount of Spending Money at the Bank

Banking is an important part of the financial system for smoothly running a country's economic activities. Quality of service is a form of consumer assessment of the level of service, and the factors that influence service quality include factors of employees, systems, technology, and customer involvement. Banking services are carried out to make it easier for customers to make transactions. The needs faced by customers cause the spending of money at the bank to be often not properly controlled. For example, for money withdrawn in large or small amounts for daily needs, fuzzy logic is used to make it easier for customers to know the amount of money spent each month. Given these problems, the authors are motivated to do further research in solving the case with the fuzzy method. Based on the data obtained from the bank, by utilizing fuzzification, fuzzy inference, and fuzzy rule base, as well as defuzzification of fuzzy logic, fuzzy logic can be applied to determine the amount of money spent. The research results show nine sales functions (Membership Function) from two input parameters, namely withdrawal of money and remaining balance. The linguistic variables used are Little Expenditure, Moderate Expenditure, Much Expenditure, Little Balance, Moderate Balance, and Many Balance.
Study of Factors affecting the National Anonymously: Dark Web

Abstract: This paper talks about how the dark web is utilized to genuine purposes just as to hide the noxious exercises or criminalism. The Dark Web is at the focal point of the discussion about whether online namelessness ought to be kept up despite the criminal behavior that it empowers. This paper will limit its degree by concentrating exclusively on the national contemplations of the Dark Web, and not those issues that dig into the domain of local law implementation. Drug dealing, firearms, fake products, unlawful erotic entertainment, and so forth these are issues that this paper characterizes as falling into the domain.