Reviewerly/exHarmony huggingface dataset:
VALIDATION OF INDIVIDUAL IDENTIFICATION THROUGH DECISION TREE PACKET HEADER PROFILING

The drastic rise in the cybercrime rate associated with the surge of users' dependence on the Internet has elevated the concern of digital forensic examiners toward the footprints of perpetrators left in a virtual environment. However, suspect identification is a big challenge in network forensics due to the anonymous nature of data transmission across the network. This study utilises the decision tree classification approach to characterise users from their behavioural web navigation pattern using the meta-data of captured network packets (Destination IP, Protocol, Port Source, and Port Destination). A total of 95,795,379 network packet headers from 96 subjects were successfully collected. Their meta-data header packets were statistically profiled to generate digital fingerprints that try to link their action on the network to their identity accurately. Hence, CHAID decision tree modelling using Destination IP, Unique protocols, and a combination of the two, including Port source and Port destination, resulted in an accuracy of 4.07%, 6.34%, and 6.36%, respectively. However, the modelling could not create a reliable decision tree for the Port source and destination. The validation study on all the combined variables had a similar accuracy of 6.36%, indicating model created had reproducibility capability. Despite the outcome, the proposed method is not yet sufficiently strong for suspect identification. Further enhancement to improve its accuracy is required.
The Concept of Emotion and Catharsis in the Cinema Audience in the Context of the Psychoanalytic Approach

In this article, the nature of the psychoanalytic film theory in perceiving the film construction and the nature of the audience"s emotion transfer will be discussed through the philosophy theory of "catharsis". It is aimed to analyze the cinema in itself, to benefit from the psychoanalyst approach to the relationship between the word, image, symbol, and object of the emotional discharge in the audience. The universality of cinema carries a common language as the journey of “knowing people, and making sense of people”. Despite the different languages, cultures, and fantastic elements, cinema succeeds in reaching common feelings in the audience. People watch movies to live a fantasy. The reflection of the fictionalized fantasies enables them to re-live the adventure they made in their inner world. The movie theater or the place where the movie is watched portrays the inner world of the individual. The film, which reflects one"s image, will allow individuals to meet with the inner world again. The purpose of this article is to construct a new world of meaning by experiencing the phenomena such as examining and reviewing their inner world, collective unconscious, symbol, and imagination in emotional discharge. As a result, reactions that emerge in action are now replaced by a new version of emotions. Identification took the new form of emotion into internal memory and left its place to dreams, imaginations, and desires. In this paper, the bond that the person establishes with the work of art is examined through the psychoanalytic theories of Sigmund Freud, Carl Gustav Jung, and Jacques Lacan and emphasized the concept of catharsis as an individual"s spiritual need beyond its philosophical dimension. The article consists of three parts. The psychoanalytic approach, the theory of catharsis, and the importance of these two theories in cinema on the audience are discussed. The first part focuses on the basic concepts of Freud, Lacan, and Jung"s psychoanalytic theory. To determine the hidden causes of the action, the conditions under which the psychoanalytic approach was put forward and its connection with the films were examined and the second part, the connection of the expression of emotional discharge with the inner world of the individual in the theory of catharsis is examined, and the place of catharsis in the psychoanalytic approach is discussed beyond being just a concept of art philosophy. Lastly, in the third part, the effect of movies on emotions is evaluated.
Introduction

Computer scientists often need to learn new programming languages quickly. The best way to prepare for this is to understand the foundational principles that underlie even the most complicated industrial languages. This text for an undergraduate programming languages course distills great languages and their design principles down to easy-to-learn 'bridge' languages implemented by interpreters whose key parts are explained in the text. The book goes deep into the roots of both functional and object-oriented programming, and it shows how types and modules, including generics/polymorphism, contribute to effective programming. The book is not just about programming languages; it is also about programming. Through concepts, examples, and more than 300 practice exercises that exploit the interpreter, students learn not only what programming-language features are but also how to do things with them. Substantial implementation projects include Milner's type inference, both copying and mark-and-sweep garbage collection, and arithmetic on arbitrary-precision integers.
ML and type inference

Computer scientists often need to learn new programming languages quickly. The best way to prepare for this is to understand the foundational principles that underlie even the most complicated industrial languages. This text for an undergraduate programming languages course distills great languages and their design principles down to easy-to-learn 'bridge' languages implemented by interpreters whose key parts are explained in the text. The book goes deep into the roots of both functional and object-oriented programming, and it shows how types and modules, including generics/polymorphism, contribute to effective programming. The book is not just about programming languages; it is also about programming. Through concepts, examples, and more than 300 practice exercises that exploit the interpreter, students learn not only what programming-language features are but also how to do things with them. Substantial implementation projects include Milner's type inference, both copying and mark-and-sweep garbage collection, and arithmetic on arbitrary-precision integers.
Scheme, S-expressions, and first-class functions

Computer scientists often need to learn new programming languages quickly. The best way to prepare for this is to understand the foundational principles that underlie even the most complicated industrial languages. This text for an undergraduate programming languages course distills great languages and their design principles down to easy-to-learn 'bridge' languages implemented by interpreters whose key parts are explained in the text. The book goes deep into the roots of both functional and object-oriented programming, and it shows how types and modules, including generics/polymorphism, contribute to effective programming. The book is not just about programming languages; it is also about programming. Through concepts, examples, and more than 300 practice exercises that exploit the interpreter, students learn not only what programming-language features are but also how to do things with them. Substantial implementation projects include Milner's type inference, both copying and mark-and-sweep garbage collection, and arithmetic on arbitrary-precision integers.
Interlude: μScheme in ML

Computer scientists often need to learn new programming languages quickly. The best way to prepare for this is to understand the foundational principles that underlie even the most complicated industrial languages. This text for an undergraduate programming languages course distills great languages and their design principles down to easy-to-learn 'bridge' languages implemented by interpreters whose key parts are explained in the text. The book goes deep into the roots of both functional and object-oriented programming, and it shows how types and modules, including generics/polymorphism, contribute to effective programming. The book is not just about programming languages; it is also about programming. Through concepts, examples, and more than 300 practice exercises that exploit the interpreter, students learn not only what programming-language features are but also how to do things with them. Substantial implementation projects include Milner's type inference, both copying and mark-and-sweep garbage collection, and arithmetic on arbitrary-precision integers.
A Comprehensive Look at Oktrik: An Innovative Tech Tutorial Resource

&lt;a href="https://www.oktrik.com/"&gt;Oktrik&lt;/a&gt; is an innovative website that provides a comprehensive range of tech tutorials and how-tos for users of all skill levels. Founded by Rosari J, oktrik is designed to help users quickly and easily gain the necessary skills to succeed in the tech world. The topics on the site range from the latest Android news to web development, with a clear focus on providing reliable and up-to-date information. &lt;br /&gt;&lt;br /&gt;The tutorials are written in an easy to understand format, making them ideal for those just starting out in tech. The content is well researched and the sources are trustworthy, giving users the confidence to learn and grow. Furthermore, the tutorials are regularly updated so users can stay informed on the latest trends and developments.&lt;br /&gt;&lt;br /&gt;Oktrik is an excellent resource for anyone looking to stay informed and up-to-date in the tech world. The tutorials are easy to navigate and the information provided is rich and reliable. The founder, Rosari J, is highly knowledgeable and provides an invaluable resource for those looking to learn more about the latest trends in tech. &lt;br /&gt;&lt;br /&gt;The website is highly recommended for novice users, as it provides an easy to understand format with reliable sources and well-researched topics. With its comprehensive range of topics and clear tutorials, oktrik is an invaluable resource for any tech enthusiast.
Pengenalan Virus Dan Bakteri Bagi Anak Usia Dini Untuk Pencegahan Penularan Penyakit

Early childhood with the age of around 0-7 years is a phase in human life that is susceptible to various infectious diseases by bacteria and viruses. The incidence of infection in early childhood is due to an immature immune system. One of the efforts to prevent infection and disease transmission in early childhood is by educating children, in schools providing early childhood education. PAUD and Daycare Rumah Pelangi is one of the PAUD and Daycare in Pangkalpinang city which has 41 students and has been a partner for parents to educate their children since 2017. The purpose of this activity is to provide education to children in PAUD and Daycare Pelangi Pangkalpinang regarding the introduction of bacteria and viruses as well as efforts to prevent disease transmission. In this activity the methods of discussion, mentoring, and storytelling through animated videos were applied to children to facilitate understanding of bacteria and viruses. In this activity, PAUD students were educated on the shape and nature of bacteria and viruses, the effects caused by bacteria and viruses and how to prevent the transmission of diseases caused by viruses and bacteria. The results of this study indicate an increase in children's ability to wash their hands properly, knowledge of children regarding viruses and bacteria increases and the emergence of good habits in children to always use masks.
Time-varying and reconfigurable driven photonics

Metamaterials have revolutionised the way we control light transport and generation. Yet, to date, they rely on passive architectures, only redistributing incident wave energy - for example in a metalens, or a cloak - with no power to locally absorb or produce it to enhance responses. Here I will discuss our first steps towards driven photonic systems, able to convert energy to function and perform actions.
INTERDISCIPLINARY APPROACH IN RECORDS MANAGEMENT

The article discusses the development of Records Management. The author draws attention to the significant influence of the interdisciplinary approach on the formation of the object and subject in Records Management. Such a trend in the development of Records Management was laid down by its founder, K.G. Mityaev, and was supported in the works of Russian scholars. Records Management develops in particularly close connection with Archival Studies, Source Studies and other disciplines of the historical cycle, where a record (document) is the object of study. The most significant issue in interdisciplinary research in the range of those disciplines is the classification of documents. A broad approach to the document as an object of research, in the conditions of interdisciplinarity, led to the attempts of expanding the field of research in Records Management by including a book in it and creating a “general theory of the document”. Such attempts, made in the 1960s and at the beginning of the 21st century, were unsuccessful. However, the further development of Records Management in the context of interdisciplinarity may pose a threat of blurring the subject field of this scientific discipline. Therefore, at the present stage, Records Management needs to deepen its own specialization.
U-Net vs. TransUNet: Performance Comparison in Medical Image Segmentation

Image segmentation is a fundamental task in computer-aided diagnosis systems. Correct image segmentation can help healthcare professionals to have better arguments to define a diagnosis and a possible treatment. Among the existing methods and techniques for this task is the TransUNet architecture. This architecture comes from the U-Net architecture, its predecessor, and has the characteristic of incorporating transformers in its encoder. This paper analyzes TransUNet and contrasts its performance with its predecessor. For this purpose, the architectures were implemented, trained, and tested using the Medical Segmentation Decathlon dataset, which provides new challenges and tasks different from those usually addressed. The experimental results reveal the superiority of TransUNet over U-Net in both spleen and left atrium segmentation by reducing the loss in 83% and 72% in the training and testing set, respectively, in the spleen task; and 94% and 92% in the left atrium task. Likewise, in the dice score, TransUNet achieved a superiority of 3.42% and 0.34% for the spleen and left atrium task, respectively, over U-Net.
Enhanced Books Recommendation Using Clustering Techniques and Knowledge Graphs

Nowadays, there is an increased interest in recommender systems in different fields, since they allow personalizing the delivery of content according to the needs and preferences of each user. This paper proposes a recommendation approach that suggests books according to their metadata and explicit feedback given by users to them. First, we reuse a public dataset of books and use k-means to identify different groups of books based on their information. Second, we analyze the variation between these groups to predict the rating that a specific user would give a book. Third, we use the collaborative filtering technique to represent books, using the information of the user’s rating and the group of the book to be recommended. Finally, users will receive an enhanced explainable response, i.e. a list of books with relevant metadata, i.e., the output could be helpful for users to understand the delivered recommendations. The original book’s metadata was enriched using information available on DBPedia, a well-known RDF-based Knowledge Graph fed from Wikipedia. Results include experiments of clustering and prediction techniques because our approach considers the information of the user’s ratings and the available information of the books to the recommendation, facilitating the understanding of the outputs.This approach achieves a good performance using Precision, Recall, and F-measure to measure the quality of the recommendations, and MAE to measure the prediction’s accuracy.
Handwritten Signature Verification System Using Convolutional Neural Network for Real-Time Applications

The handwritten signature is the most common method used to verify the legality of documents and plays a critical role in indicating a person’s identity. Traditionally, a person determines the validity of a signature by manually comparing it to a stored record of genuine signatures. Manual verification is time-consuming and depends on the skill of the verifier to detect forgeries. This work aims to develop a system for handwritten signature recognition using pattern recognition techniques. This work pretends to contribute to banks and companies to validate a document’s signature automatically. Handwritten signature verification systems have been approached using different methods; however, solutions with artificial intelligence stand out for their superior performance. The proposed model is based on a shallow convolutional neural network and trained with the CEDAR handwritten signature dataset. The model can recognize the handwritten signatures of 55 users, verifying their legality against forgeries with an Equal Error Rate of 1.716%, improving the performance described by other methods working on the same dataset. The developed system is lightweight and allows verification to be performed in real time. Additionally, this paper provides insightful analysis for hyperparameter optimization of the model.
Inclusive Policies and Teaching Practices in Educational Institutions, in Pandemic

Currently, educational inclusion is generating more expectations in Latin American educational institutions. As an example of this, there is greater interest in providing attention to groups of students with special needs and attention, particularly in the context of the health crisis. The main objective of the study was to determine the relationship between inclusive policies and good teaching practices in private educational institutions of the primary level. Under a quantitative approach, we worked with a non-experimental, cross-sectional design and applied the validated questionnaire “Inclusion Index”, a Likert-type scale, to 50 primary school teachers in the city of Trujillo. The results show a high and significant correlation (.835**) between the two variables under study, suggesting the importance of establishing adequate policies to improve inclusion practices. Likewise, from the teachers’ perspective, the need to improve inclusive policies with the commitment to encourage and promote inclusive practice within their educational institutions is also noted. Finally, it is concluded that educational inclusion is a process and a strategy that helps to overcome barriers to learning. However, the critical global situation hinders the goal of implementing this system effectively.
Teacher Digital Literacy and Its Influence on Learning Sessions at the Initial Level in Schools in the Context of Covid-19

The objective of this study was to determine the influence of teachers’ digital literacy on the development of learning sessions at the early education level in a public school in northern Lima (Peru) in the context of Covid-19. Using a qualitative case study approach, a semi-structured interview was applied to teachers with experience in teaching early childhood education. The results show that digital literacy influences the development and methodology of visual, auditory and kinesthetic learning sessions, since it is known that infants are in the digital era where many of them know how to use a variety of tools and applications. Finally, digital resources are crucial in the performance of teachers and in the cognitive process of children.
Parents Participation at the Initial Level in Virtual Education: A Case Study in a Peruvian School

Currently, parental participation is being developed through the virtual modality, being the only means of educational accompaniment that favors children’s learning. Therefore, the purpose of this research was to analyze the participation of preschool parents during virtual classes. To achieve this, a qualitative, ethnographic approach was used, in which a semi-structured interview with a preschool teacher and two self-interviews were applied to collect important information based on their experiences. In conclusion, it was obtained as a result that parents do have a constant and active participation during the remote classes, in addition, it is demonstrated that through their daily involvement and cooperation during the pedagogical activities, children improve their school performance; thus, parents are now the first formative pillars in the education of their children.
Gamification, Nearpod Platform in Academic Performance in Virtual Classes for Higher Education Students

Currently, the use of technological tools constitutes a determining factor in virtual education, considering that now of acquiring significant learning in the student, it is necessary that they be motivated, interested, and carry out collaborative work. Therefore, the teacher oversees making use of innovative strategies such as gamification together with technology as a support instrument in the teaching-learning of the various contents. The objective of this research is to determine the contribution provided by the Nearpod platform in virtual classes for Higher education students. Experimental research was applied with a parts approach through the application of two instruments that were validated by Cronbach's Alpha; they had a structure of questions with multiple choice on a Likert scale of five points, in addition to the application of the Technological Acceptance Model (TAM) to verify the level of acceptance of new technology or resource. The study population is 30 students of the Tourism Major of the Technical University of Ambato. For the validation of the hypothesis, the Friedman Chi-square statistic was applied to the most representative questions to determine which hypothesis to accept and finally check with the Kolmogorov Smirnov (KS) statistic, reaching the conclusion that the Nearpod platform as a gamification resource contributes to the teaching of university students in virtual classes, promoting inclusion, active participation, and collaborative work. It also allows the teacher to be the guide or mediator of the learning process and the student feels motivated and above all generates knowledge.
A Comparison of Dynamic Causal Inference Methods

The estimation of dynamic causal effects is one of the crucial challenges of econometrics. In the macroeconomic literature, dynamic causal effects are conceived as the effect, over time, of an intervention that propagates through the economy. This is usually modeled via impulse response analysis on vector auto-regressive (VAR) models. In this study, we compare the impulse response estimator of a VAR, local projection, and a Bayesian network VAR (BNVAR) model. Our results show that the BNVAR impulse response estimators are generally more efficient than local projection and VAR estimators.
Protection of Personal Data and Internet of Things Security

Every aspect of our life, from travel and healthcare to entertainment and governmental interactions, stands to benefit greatly from the advent of the internet of things. Despite this enormous potential, however, a number of significant obstacles must first be overcome. The race to create laws, rules, and governance that will lead this progress without strangling innovation has become more difficult because of the exponential expansion in the number of connected devices. Discover the origins of the IoT, its many definitions, and some of its most important uses in this in-depth read. Future fears and difficulties relating to security and privacy are taken into account, both generally and in the more specific context of individual applications.