Reviewerly/exHarmony huggingface dataset:
Ensemble Based Feature Extraction and Deep Learning Classification Model with Depth Vision

It remains a challenging task to identify human activities from a video sequence or still image due to factors such as backdrop clutter, fractional occlusion, and changes in scale, point of view, appearance, and lighting. Different appliances, as well as video surveillance systems, human-computer interfaces, and robots used to study human behavior, require different activity classification systems. A four-stage framework for recognizing human activities is proposed in the paper. As part of the initial stages of pre-processing, video-to-frame conversion and adaptive histogram equalization (AHE) are performed. Additionally, watershed segmentation is performed and, from the segmented images, local texton XOR patterns (LTXOR), motion boundary scale-invariant feature transforms (MoBSIFT) and bag of visual words (BoW) based features are extracted. The Bidirectional gated recurrent unit (Bi-GRU) and the Bidirectional long short-term memory (Bi-LSTM) classifiers are used to detect human activity. In addition, the combined decisions of the Bi-GRU and Bi-LSTM classifiers are further fused, and their accuracy levels are determined. With this Dempster-Shafer theory (DST) technique, it is more likely that the results obtained from the analysis are accurate. Various metrics are used to assess the effectiveness of the deployed approach.
Coastal Students’ Perspectives Regarding the Utilization of Online Learning Platforms

In today’s school, online learning platforms are necessary. They might not be adequately represented in educational institutions, though. Understanding coastal students’ perspectives regarding the utilization of online learning platforms is the main objective of the study. For this study, the authors employed a descriptive qualitative approach. 32 social science students of Senior High School 2 Tanjungpinang took part in responding to the interview. Based on the findings, some coastal students think that adopting online learning platforms is not the best option. Although 60% of students claim that online learning has been well received, they are nevertheless disrupted by unstable signals. In the meantime, 40% of students respond negatively despite signal interference. There are various challenges, such an unstable network and the restricted devices, like smartphones and computers, that prevent students from understanding the lessons that their teacher is teaching. However, students who use online learning systems effectively find it easier to repeat lessons because the materials may be neatly restored. Online learning, according to some students, is more time efficient. As a result, they learn about modern technology and experience something new by utilizing online learning platforms.
Integrating Environmental Education into Maritime English Curriculum for Vocational Learners: Challenges and Opportunities

This research delves into the vital intersection of Vocational Education, English for Specific Purposes (ESP), and English as a Second Language (ESL) within the domain of Maritime English. The specific subtheme of the research is “English Maritime - Integrating Environmental Education into Maritime Curriculum: Challenges and Opportunities.” The primary objective is to conduct a descriptive qualitative research analysis of existing literature to support the teaching and guidance of Maritime English, particularly for vocational learners. This research is conducted within the educational setting of the Vocational School at IPB University. In a world where maritime industries play a pivotal role in global trade and environmental consciousness is on the rise, the role of language acquisition, particularly in maritime contexts, is paramount. The integration of environmental education into the Maritime English curriculum presents a unique opportunity to address linguistic complexity, resource development, instructor competence, and time constraints. Simultaneously, it offers enhanced communication skills, global relevance, environmental responsibility, and alignment with industry trends. These findings have substantial implications for curriculum development, instructor training, flexibility, and industry engagement, contributing to more responsible maritime practices.
Effects and Animation

Effects add some visual sugar to your scenes, in the sense of “make it gloomy,” “add some shadow,” “apply some blurring,” and so on. Animation can be used for the same purpose, but depending on the functionality your application is supposed to provide, it may add a time dimension to the program. Think of computer animation or sound visualization. In this chapter, we talk about what JavaFX has to offer in these two fields.
Investigation for periodic and almost periodic solutions of first-order ordinary differential equations

Approaches to estimating for the number of periodic and almost periodic solutions of ordinary differential equations are considered. Conditions that allow determinating both the upper and lower bounds for these solutions are found. The existence of periodic and almost periodic solutions in problems are considered. Approaches to estimating for the number of periodic solutions of ordinary differential equations are considered. Conditions that allow determinating both the upper and lower bounds for these solutions are found. The existence and stability of almost periodic problems are considered.
Design and Implementation of Quantum Repeaters: Insights on Quantum Entanglement Purification

Quantum communication is a groundbreaking technology that is driving the future of information transmission and communication technologies to a new paradigm. It relies on quantum entanglement to facilitate the transmission of quantum states between parties. Quantum repeaters are crucial for facilitating long-distance quantum communication. These quantum devices act as intermediaries between adjacent communication channel segments within a fragmented quantum network, allowing for entanglement swapping between the channel segments. This entanglement swapping process establishes entanglement links between the endpoints of adjacent segments, gradually creating a continuous entanglement connection over the entire length of the transmission channel. The established quantum link can be utilized for secure and efficient quantum communication between distant sender and receiver nodes. This study focuses on quantum entanglement purification, a protocol aimed at maintaining high fidelity entangled states above the operational threshold of the communication channel. This study investigates the optimal stage for executing the purification protocol and applies optimization schemes to evaluate various purification protocols. We use IBM Qiskit for circuit implementation and simulation. The results offer valuable insights into future approaches to implementing practical quantum repeaters and shed light on existing and anticipated challenges.
Psychological and pedagogical factors in the organization of education of foreign students in the educational space of higher education institutions

PROBLEMS AND PROSPECTS OF TRAINING IN HIGHER SCHOOL: PEDAGOGICAL, PHILOLOGICAL, PSYCHOLOGICAL AND INTERCULTURAL ASPECTS Internationalization processes of world higher education are one of the leading trends in its modern development. The problem of creating special favorable study conditions for foreign students is relevant at the state level of many countries, since the training of competent specialists in demand on the labor market has geopolitical and socio-economic significance and is one of the main tasks of higher education at the current stage of the development of society. In this context, it is important to determine the psychological factors that ensure the tutoring activity of teachers, the role of emotional competence in increasing the effectiveness of the education of foreign students, the peculiarities of the non-verbal aspect of pedagogical communication with representatives of different cultures, taking into account the influence of the type of pedagogical system on the success of the adaptation of foreign students, studying the peculiarities of this process and development of ways of forming social adaptive competence of foreign students in the conditions of their professional training in higher education institutions of another country.
Backstop Layer 2: A forkable L2 to secure oracles and arbitration systems

We describe a design for an L2 ledger with an enshrined dispute resolution oracle. Contracts deployed on the ledger benefit from oracles and governance arbitration backstopped by the ability, in extremis, to fork the entire L2 ledger on which they are running. Decisions about assets issued on the forkable ledger benefit from "subjectivocratic" security. Tokens bridged from other ledgers can also be managed, albeit with an economic security bound. Tokens representing Real-World Assets can be bridged in the same way, or by extending the trust users already place in their issuer.
Efficient Approximation Algorithms for Scheduling Coflows with Total Weighted Completion Time in Identical Parallel Networks

This paper addresses the scheduling problem of coflows in identical parallel networks, a well-known N P-hard problem. We consider both flow-level scheduling and coflow-level scheduling problems. In the flow-level scheduling problem, flows within a coflow can be transmitted through different network cores, while in the coflow-level scheduling problem, flows within a coflow must be transmitted through the same network core. The key difference between these two problems lies in their scheduling granularity. Previous approaches relied on linear programming to solve the scheduling order. In this paper, we enhance the efficiency of solving by utilizing the primal-dual method. For the flow-level scheduling problem, we propose an approximation algorithm that achieves approximation ratios of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$6-\frac{2}{m}$</tex-math></inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$5-\frac{2}{m}$</tex-math></inline-formula> for arbitrary and zero release times, respectively, where m represents the number of network cores. Additionally, for the coflow-level scheduling problem, we introduce an approximation algorithm that achieves approximation ratios of 4m + 1 and 4m for arbitrary and zero release times, respectively. The algorithm presented in this paper has practical applications in data centers, such as those operated by Google or Facebook. The simulated results demonstrate the superior performance of our algorithms compared to previous approach, emphasizing their practical utility.
An Operational Approach to Information Leakage via Generalized Gain Functions

We introduce a gain function viewpoint of information leakage by proposing maximal <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</i> -leakage, a rich class of operationally meaningful leakage measures that subsumes recently introduced leakage measures — maximal leakage and maximal α-leakage. In maximal <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</i> -leakage, the gain of an adversary in guessing an unknown random variable is measured using a gain function applied to the probability of correctly guessing. In particular, maximal <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</i> -leakage captures the multiplicative increase, upon observing Y, in the expected gain of an adversary in guessing a randomized function of X, maximized over all such randomized functions. We also consider the scenario where an adversary can make multiple attempts to guess the randomized function of interest. We show that maximal leakage is an upper bound on maximal <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</i> -leakage under multiple guesses, for any non-negative gain function <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</i> . We obtain a closed-form expression for maximal <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</i> -leakage under multiple guesses for a class of concave gain functions.We also study maximal <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</i> -leakage measure for a specific class of gain functions related to the α-loss, that interpolates log-loss (α = 1) and (soft) 0-1 loss (α = 1). In particular, we first completely characterize the minimal expected α-loss under multiple guesses and analyze how the corresponding leakage measure is affected with the number of guesses. We show that a new measure of divergence that belongs to the class of Bregman divergences captures the relative performance of an arbitrary adversarial strategy with respect to an optimal strategy in minimizing the expected α-loss. Finally, we study two variants of maximal <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">g</i> -leakage depending on the type of adversary and obtain closed-form expressions for them, which do not depend on the particular gain function considered as long as it satisfies some mild regularity conditions. We do this by developing a variational characterization for the Rényi divergence of order infinity which naturally generalizes the definition of pointwise maximal leakage to incorporate arbitrary gain functions.
Teacher–Explorer–Student Learning: A Novel Learning Method for Open Set Recognition

When an unknown example, one that was not seen during training, appears, most recognition systems usually produce overgeneralized results and determine that the example belongs to one of the known classes. To address this problem, teacher–explorer–student (T/E/S) learning, which adopts the concept of open set recognition (OSR) to reject unknown samples while minimizing the loss of classification performance on known samples, is proposed in this study. In this novel learning method, the overgeneralization of deep-learning classifiers is significantly reduced by exploring various possibilities for unknowns. The teacher network extracts hints about unknowns by distilling the pretrained knowledge about knowns and delivers this distilled knowledge to the student network. After learning the distilled knowledge, the student network shares its learned information with the explorer network. Next, the explorer network shares its exploration results by generating unknown-like samples and feeding those samples to the student network. As this alternating learning process is repeated, the student network experiences a variety of synthetic unknowns, reducing overgeneralization. The results of extensive experiments show that each component proposed in this article significantly contributes to improving OSR performance. It is found that the proposed T/E/S learning method outperforms current state-of-the-art methods.
Real vs. virtual: Computer simulation Second life

While the term 'real' world implies reality as a set of data objectively given beyond any individual evaluation, the term 'virtual' is seen as a projection of human presence in a computer-generated space. The aim of this analysis is to consider virtual communication as a new form of communication practice through the analysis of the communication of the players in the computer simulation of the Second Life. This video game offers online simulations with computer representations of people who communicate through multimedia, organize their other life just the same as they do in everyday life, associate into new virtual communities and inspired by real characters create identities within alternative avatars. Thus, the virtual world acquires a meaning that has a certain historical and cultural weight in real life. The real life complements the virtual, and the virtual, crossing the boundaries of its space, connects itself with the real world. Second Life shows how the virtual world grows into a media spectacle, which results in images, representations, fictions becoming reality in computer simulation. Thus, the conclusion can be drawn that virtual communication moves the boundaries of the social and technical, the private and the public, the virtual and the real. Frequently the boundaries of these worlds in the relationship between the real and the virtual are being blurred, which leads to noise in communication and alienation of people. When unfulfilled wishes from the real world seem to come true in the 'second life', the player's departure to the virtual world becomes a daily preoccupation, and the virtual replaces the real.
Characteristics and terms of digital securities development on the global and national capital market

We are witnessing the transformation of the financial instruments industry and the processes taking place in the capital market, which have initiated a new trend in securities business. The contemporary progress of the global digital securities market is characterized by interactions between rapid technological innovations, changes in investor habits and competition among technology giants. The research subject is supported by the fact that digital securities offering becomes a profitable business model available on blockchain platform, making securities the most interesting financial instruments in the 21st century. The aim of the research is to overview characteristics of digital financial instruments as a consequence of the difference in territorial areas and legislation, as well as how this affects the potential and challenges of development in the capital market. Description method, analysis and synthesis technique, as well as the documents content analysis in the relevant area, were used for the purposes of the research. The result of the research confirms further development of digital securities in a very challenging environment and resources mobilization through alternative funding methods.
PENINGKATAN KETERAMPILAN MAHASISWA MELALUI PENGOPERASIAN PROGRAM AUTOCAD

Autocad is an application that supports image creation in the engineering design field. This application is able to design technical drawings, plans, buildings and other objects. The problem is, how can we skillfully utilize the facilities provided by Autocad, so that it can make a significant advantage compared to manual drawing. The objectives of the science and technology application program are (1) To provide knowledge and skills about image processing programs (2) To improve student skills in completing image tasks using the Autocad program. The method used in the science and technology application program is the provision of theory and hands-on practice as outlined in the training module. In addition, drawing exercises were also carried out during the activity. The evaluation of the science and technology application activity program about improving the skills of Univet students through the operation of the autocad program is that training in the operation of the autocad program can provide knowledge and skills in students in completing drawing tasks given by lecturers and changes in student competencies (knowledge and skills). in using the computer. This is evident from the average results of drawing exercises and the final grades carried out by the students participating in the training by 75%, previously students were still unfamiliar with operating the autocad program.
Perencanaan Dan Implementasi Penggunaan Keran Wastafel Otomatis Berbasis Mikrokontroler Arduino Uno Dalam Penanggulangan Pencegahan Covid-19 Pada Pasar Tradisional Desa Suka Maju

&#x0D; &#x0D; &#x0D; &#x0D; Community service is one of the pillars of the Tri Dharma of Higher Education, in addition to the Dharma of Education and Teaching and the Dharma of Research. This time, the Ketapang Polytechnic Community Service Program aims to apply knowledge that can be used by the public in the prevention of the spread of Covid-19 which can be contagious in crowded places.Covid-19 is a virus that is easily transmitted through human touch and from human beings to human beings, and it can be said that the Covid-19 virus is easily transmitted in crowded places in the community. One of the most crowded places in the community is the traditional market, which is still active, namely the traditional BUM Desa Karya Maju market which is located on the Poros Sukadana-Ketapang road, Muara Pawan District, Suka Maju Village.Through the Community Service Program the initiative to make a tool that can overcome the prevention of the spread of covid-19. One method of preventing Covid-19 is to always wash your hands after touching so as to make an automatic sink faucet based on the Arduino UNO microcontroller. The tools that are made can be moved according to the expectations of the partners. The components of the tool are the seat frame, barrel, sink, wheels and control components. The control components consist of an adapter, charger module, battery, switch, Arduino UNO module, relay module, ultrasonic sensor and PMPA DC.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
Ideal/balance point clustering algorithm

Generally clustering is one of the largest used ML techniques to group data points of similar type together. Mostly while grouping data points based upon few popular traditional clustering algorithms like KNN, K-means etc. only the magnitudes of those data points are considered. The deviation of those data points from a particular point said to be the center point or the balance point of the entire dataset is not considered that much, but Here in this Ideal Balance Point clustering algorithm the degree of deviation of all the data points from the balance point is primarily considered. By using such a methodology, we may be able to form clusters of data points based on their degrees of deviation from the Ideal Balance Point of the entire dataset. The Ideal Balance Point of the dataset is actually the centroid of the plane on which the datapoints are distributed. Here in the Ideal Balance Point clustering algorithm the user may also manually feed-in the Ideal Balance Point for the dataset based on the requirement or as per the practical idealness of the circumstance and nature of the dataset. Generally, this idea is derived from the theory that an object has all its’ mass equally distributed on the centroid. Hence the plane formed by the distribution of the data points is considered as an object and the centroid of it is assumed to be the point where the entire data points are directed into, but the ideal balance point for the data may also differ as per real life scenario, thus the feature of feeding in the balance point is also given in this Ideal Balance Point clustering algorithm.