Reviewerly/exHarmony huggingface dataset:
Microlearning helps Alzheimer’s Disease Patients

Alzheimer's disease is one of the most common diseases in older adults, and as the disease progresses, the need for daily care increases. Caregivers of Alzheimer's Disease patients face a variety of stresses and work pressures. Receiving professional and continuous training is one of the effective ways to improve their skills and competencies. A new approach to education is microlearning, where microeducational content is provided to learners. Microlearning as a pedagogical technique focuses on designing learning modules through micro-steps in a digital media environment. These activities can be integrated into learners' daily lives and tasks. Unlike "traditional" e-learning methods, microlearning often favours technology delivered through push media, thus reducing the cognitive load on the learner. Microlearning educational methods have been shown to be effective and efficient in educating and delivering materials to caregivers of older adults with Alzheimer's disease. This paper begins with a brief introduction to microlearning. And it details the key features and benefits of microlearning. Microlearning offers potential benefits to Alzheimer's Disease patients and their caregivers with its concise and focused approach. Secondly, machine learning enhances the design and delivery of microlearning, helping to provide a more personalised and effective learning experience. Machine learning plays a role in the design of microlearning. To conclude, microlearning offers a promising avenue of support and care for Alzheimer's Disease patients. Microlearning also provides a valuable resource for carers and healthcare professionals to gain the knowledge and skills needed to provide effective care.
Teaching younger students to solve problems to determine a winning strategy

One of the ways to effectively teach informatics in primary school is to provide an entertaining character of learning. Entertaining tasks include tasks for game strategies that allow younger schoolchildren to learn to search for a winning strategy when playing with chips, checkers, dominoes, mathematical lotto, etc. The purpose of the article is to describe the features of teaching younger schoolchildren to solve problems to determine a winning strategy in an analytical way. The article discusses the basic concepts of game theory necessary for solving problems of determining a winning strategy at the level of primary general education: the definition of mathematical games, their rules, the concepts of winning strategy and correct game. The methods of solving games with a symmetric winning strategy and with a winning strategy of addition to a number, a description of winning strategies and an example of an algorithm for one of the considered problems are given. It is concluded that the ability to determine a winning strategy can be attributed to meta-subject skills.
Autonomous Internet of Things (IoT) Data Reduction Based on Adaptive Threshold

With the development of intelligent IoT applications, vast amounts of data are generated by various volume sensors. These sensor data need to be reduced at the sensor and then reconstructed later to save bandwidth and energy. As the reduced data increase, the reconstructed data become less accurate. Usually, the trade-off between reduction rate and reconstruction accuracy is controlled by the reduction threshold, which is calculated by experiments based on historical data. Considering the dynamic nature of IoT, a fixed threshold cannot balance the reduction rate with the reconstruction accuracy adaptively. Aiming to dynamically balance the reduction rate with the reconstruction accuracy, an autonomous IoT data reduction method based on an adaptive threshold is proposed. During data reduction, concept drift detection is performed to capture IoT dynamic changes and trigger threshold adjustment. During data reconstruction, a data trend is added to improve reconstruction accuracy. The effectiveness of the proposed method is demonstrated by comparing the proposed method with the basic Kalman filtering algorithm, LMS algorithm, and PIP algorithm on stationary and nonstationary datasets. Compared with not applying the adaptive threshold, on average, there is an 11.7% improvement in accuracy for the same reduction rate or a 17.3% improvement in reduction rate for the same accuracy.
Just like in life, or Practice-oriented tasks at informatics lessons

Time dictates special requirements for modern man: it is important not only to gain knowledge, but also to learn to apply it in everyday life, as well as in changed situations. A characteristic feature that distinguishes the subject "Informatics" from other disciplines is its applied nature: only that knowledge that is used in practice has the main value. This statement forms the basis of the practice-oriented training system. The article discusses the differences between a practice-oriented task and a standard one, and identifies groups of practice-oriented tasks. Examples of author's tasks of a practice-oriented nature are given on various themes of the school course of informatics, compiled on the basis of traditional ones, as well as a fragment of a lesson with practice-oriented content.
Using Tello quadcopters when studying the course "Introduction to programming in Python"

The article discusses the capabilities of Tello educational quadcopters and their use in Python programming classes. The topics of modules that are recommended to be studied using quadcopters are given. When describing the modules, the basic concepts of the Python programming language, the features of its use in conjunction with quadcopter DJI Tello, safety precautions when working with a quadcopter, and its structure are considered. The concepts of an algorithm, its properties, and the main types of algorithms are described. The emphasis is on the consideration of a linear algorithm; examples of the implementation of linear algorithms for autonomous flight are given, as well as examples of programs for obtaining information from on-board sensors. Possible examples of tasks that can be offered to students when studying each module are considered. The article is intended for informatics teachers, students of pedagogical universities, and additional education teachers.
Modeling a text interface using Python language

The article discusses issues related to studying the Python programming language in an informatics course and improving students' understanding of such a programming language structure as an array or list. To achieve this goal, one meaningful example is used, that is modeling the operation of an electronic clock display in a text interface. First, patterns of numbers are developed to represent them on the scoreboard, and topics related to the study of matrices or lists of strings can be better developed. Next, the task is implemented using the Python programming language, while functions are used to create and process the output of numbers. Ideas for similar problems are also given. The article may be useful to informatics teachers, students of pedagogical universities and all readers who are interested in programming in Python.
Joint Object Detection and Re-Identification for 3D Obstacle Multi-Camera Systems

The growing on-board processing capabilities have led to more complex sensor configurations, enabling autonomous car prototypes to expand their operational scope. Nowadays, the joint use of LiDAR data and multiple cameras is almost a standard and poses new challenges for existing multi-modal perception pipelines, such as dealing with contradictory or redundant detections caused by inference on overlapping images. In this paper, we address this last issue in the context of sequential schemes like F-PointNets, where object candidates are obtained in the image space, and the final 3D bounding box is then inferred from point cloud information. To this end, we propose the inclusion of a re-identification branch into the 2D detector, i.e., Faster R-CNN, so that objects seen from adjacent cameras can be handled before the 3D box estimation takes place, removing duplicates and completing the object’s cloud. Extensive experimental evaluations covering both the 2D and 3D domains affirm the effectiveness of the suggested methodology. The findings indicate that our approach outperforms conventional Non-Maximum Suppression (NMS) methods. Particularly, we observed a significant gain of over 5% in terms of accuracy for cars in camera overlap regions. These results highlight the potential of our upgraded detection and re-identification system in practical scenarios for autonomous driving.
The origin of gravity and velocity of light

The classical Newton formula F＝G Mm/r^2 reveals the law of gravity of celestial bodies and everything, but does not explain the cause of gravity. General relativity says that gravity doesn't exist, but is a curvature of space-time. Quantum mechanics suggests the existence of so-called gravitons, but so far none have been found. Quantum mechanics can't explain gravity, relativity can't explain quantum mechanics, and gravity and electromagnetic theory are still not unified. It is pointed out that the gravitational constant G＝1/16πc, π is PI, c is numerical value of velocity of light. The essence of gravity is the fluctuating pressure of particles in a vacuum.This paper is also an attempt to unify the theories of gravity and electromagnetism.
Terrorist financing adds to woes of crypto firms

Headline INT: Terrorist financing adds to woes of crypto firms
Design of Energy Efficient Reversible Full Adder and Ripple Carry Adder for Digital Computing Applications

In VLSI (Very Large Scale Integration), reversible gates play an important role in the design of low-power circuits. Unlike conventional gates, which are irreversible and result in the loss of information, reversible gates ensure that the input information can be completely recovered from the output. Reversible gates have applications in various areas, such as quantum computing, low-power digital circuits, and cryptography. They are particularly useful in quantum computing, where the conservation of information is crucial due to the principles of quantum mechanics. Using reversible gates such as the Toffoli, Feynman, and new gates, we have constructed and studied FA and RCA in this study. To simulate and synthesize, we used ModelSim and Xilinx. The FA’s and RCA’s speed and area are contrasted with those of conventional gates and reversible gates. The PFA and PRCA were discovered to have produced the best results in terms of area and delay.
Diagrams show Derivatives of Inverse Function in Two Forms

In the calculus class, some students were confused by the expression of Inverse Function in two forms, which causes difficulties in understanding how to calculate the derivative of Inverse Function. It was because they were taught to denote independent variable only by using x in high school. In order to help them understand the problem well, I show the inverse function in two forms with diagrams and the reciprocal relationship between their derivatives.
Performance Analysis of Sketching Methods

One of the problems in data mining or machine learning is the high-dimensional dataset. MinHash can generate sketches of sparse datasets efficiently reducing the dimension to a few thousand. These sketches, then, can be used for different machine-learning applications. It takes O(kd) computations to generate k hash values for a data point with d non-zeros. The Sketch of a data point is the vector of k hash values. Weighted Minwise Hashing is another method to generate a sketch of size k in O(kp/d) computations. Here, p is the size of the universal set. Optimal Densification is the most efficient and accurate method as it can generate k hash values in mere O(d + k) computations. In this paper, we investigate the performance of Optimal Densification, Weighted Minwise Hashing, and Vanilla MinHash by performing two experiments. Firstly, we investigate Jaccard similarity estimation accuracy on six different synthetic datasets. Then, we perform one nearest neighbor classification (1NN) of four real datasets. Optimal Densification outperforms both Weighted Minwise Hashing and Vanilla MinHash in terms of accuracy and time taken to generate the sketches.
Simulation of quantum walks on a circle with polar molecules via optimal control

Quantum walks are the quantum counterpart of classical random walks and have various applications in quantum information science. Polar molecules have rich internal energy structure and long coherence time and thus are considered as a promising candidate for quantum information processing. In this paper, we propose a theoretical scheme for implementing discrete-time quantum walks on a circle with dipole-dipole coupled SrO molecules. The states of the walker and the coin are encoded in the pendular states of polar molecules induced by an external electric field. We design the optimal microwave pulses for implementing quantum walks on a four-node circle and a three-node circle by multi-target optimal control theory. To reduce the accumulation of decoherence and improve the fidelity, we successfully realize a step of quantum walk with only one optimal pulse. Moreover, we also encode the walker into a three-level molecular qutrit and a four-level molecular ququart and design the corresponding optimal pulses for quantum walks, which can reduce the number of molecules used. It is found that all the quantum walks on a circle in our scheme can be achieved via optimal control fields with high fidelities. Our results could shed some light on the implementation of discrete-time quantum walks and high-dimensional quantum information processing with polar molecules.
Upaya Guru Meningkatkan Prestasi Dalam Pembelajaran PAI Pasca Masa Pandemi Covid-19 di SDN Pasir Tengah 02

The impact of the Covid-19 outbreak caused students to experience learning boredom, thereby reducing student achievement during the learning process. Therefore teachers must strive to improve learning achievement, especially PAI learning at Pasir Tengah 02 State Elementary School during post-Covid-19 learning. The purpose of this research is to analyze the teacher's efforts and supporting factors in improving learning achievement in PAI learning after Covid-19. The method in this study uses a qualitative approach, namely a method for investigating objects that cannot be measured by words or other measures that do not use numbers. Qualitative research can also be interpreted as research that is descriptive in nature and tends to use analysis with an inductive approach. The results of this research are to improve learning achievement in PAI learning after Covid-19 including: providing examples of good behavior to students, managing classes well, repeating learning, fun learning methods, and conducting learning evaluations. And there are several supporting factors that help improve learning achievement in PAI learning after Covid-19 including: providing examples of good behavior to students, managing classes well, repeating learning. fun learning methods. and conduct learning evaluations.&#x0D; Keyword: Master's Efforts; Learning achievement; PAI learning
Making Voltaires out of Bureaucrats? Revisiting the Policy of Counter-Enlightenment

The article discusses the legal and regulatory aspects of enlightenment activities within the context of the socio-cultural objectives of contemporary Russian educational policy. The author examines social and education-policy factors that underscore the need for extensive enlightenment efforts in the country. One of these factors is the increasing pragmatization of attitudes towards knowledge, leading to a decline in the cultural literacy of the population. Among the manifestations of this issue is the undervaluation of the importance of fostering a well-rounded cultural identity, giving precedence to a “competency-based approach.” Educational standards are geared towards skill and ability development while minimizing the significance of general education subjects. The author also highlights the challenges associated with the growing impact of information technology on the intellectual development of society. These factors necessitate the development of federal legislation to support enlightenment in Russia. However, the existing legal and regulatory framework for enlightenment activities contradicts the values of Russian society and the traditions of domestic enlightenment, effectively turning government bureaucrats into the primary enlighteners. The author analyzes specific legislative clauses that establish cumbersome bureaucratic procedures, which essentially make free enlightenment impossible. Government agencies are burdened with overwhelming responsibilities to monitor enlightenment activities. The dangers of involving citizens in oversight of enlightenment efforts are emphasized, as this poses risks of reviving a culture of denunciation. Enlightenment in Russia requires state support, not artificial constraints. The author substantiates the thesis that enlightenment activities should focus on personal development, not merely on training specific competencies.
PROTOTYPE OTOMATIS SISTEM MONITORING PEMELIHARAAN TOKEK GURUN BERBASIS IoT PADA PLATFORM THINGSPEAK MENGGUNAKAN ALGORITMA C4.5

The Leopard Gecko is a reptilian species that thrives in desert regions with a humidity level of around 60%. Native to Pakistan, this exotic reptile captivates many reptile enthusiasts due to its unique skin color and pattern, aligning with its name. However, there are challenges in the care of Leopard Geckos, particularly among novice reptile enthusiasts who may lack comprehensive knowledge of proper care. This lack of knowledge can lead to issues such as tail dropping and illness, sometimes resulting in fatalities.&#x0D; To ensure the well-being of Leopard Geckos in captivity, it is crucial to create an environment that mimics their natural habitat, preventing severe issues such as tail loss, damaged skin, or even death. To address these concerns, an Internet of Things (IoT)-based System for Monitoring the Care of Leopard Geckos is developed, employing the C4.5 algorithm and the Thingspeak platform. The hardware used includes Arduino Uno, DHT11 sensor, LDR sensor, Ultrasonic sensor, Servo Motor, and ESP8266 Wifi Module.&#x0D; The research findings indicate that if the temperature exceeds 32°C and humidity drops below 60%, the lamp turns off, and the mist maker activates. Conversely, if the temperature falls below 32°C and humidity surpasses 60%, the lamp turns on, and the mist maker deactivates.
Dynamic educational philosophy for learning technology management

Notions such as STEAM education, computational thinking, gamification, and the manipulation of ICT (Artificial Intelligence, IoT, augmented reality, 3D printing or virtual reality), have appeared to configure what is known as Education 4.0. Under the Latin American context, and the economic, political, cultural and social situation of the countries that make up this geographical space, it is worth asking: to what extent has Education 4.0 been implemented, or some of its elements, unlike developed countries? Latin American educational systems, despite the global trend that seeks to assimilate the elements of this type of education, reflect a minority of countries possible to be classified as education 4.0, identifying the intelligible relationship between economic development and educational model.
Improving Vocabulary Mastery By Using Describing Pictures

The results of this study are in the first cycle; the average result of the pre-test was 44. In the post-test, the average of the test results was 57. Next, in cycle two, the average result of the post-test was 76. There was an improvement in every cycle by describing the picture. The students who passed the passing grade in the pre-test of cycle II are 53.8%, but there is a different result in the post-test. 84.5% of students pass with an excellent score. From both test results, there is an improvement of about 30.7%. There is a significant improvement in cycle II. This increase can be seen from the value of each student, which has increased compared to the pre-test. There are improvements in 10, 12.5, 20, 22.5, and even 32.5. This improvement really proves that this method is able to improve vocabulary skills. Because more than 75% of students pass with good scores, this research fulfills the criteria for success.
Securing Stock Transactions Using Blockchain Technology: Architecture for Identifying and Reducing Vulnerabilities Linked to the Web Applications Used (MAHV-BC)

This paper deals with the security of stock market transactions within financial markets, particularly that of the West African Economic and Monetary Union (UEMOA). The confidentiality and integrity of sensitive data in the stock market being crucial, the implementation of robust systems which guarantee trust between the different actors is essential. We therefore proposed, after analyzing the limits of several security approaches in the literature, an architecture based on blockchain technology making it possible to both identify and reduce the vulnerabilities linked to the design, implementation work or the use of web applications used for transactions. Our proposal makes it possible, thanks to two-factor authentication via the Blockchain, to strengthen the security of investors’ accounts and the automated recording of transactions in the Blockchain while guaranteeing the integrity of stock market operations. It also provides an application vulnerability report. To validate our approach, we compared our results to those of three other security tools, at the level of different metrics. Our approach achieved the best performance in each case.
Educative Game Tools Management In Early Childhood Education Unit

One important aspect of learning activities in early childhood education units is educational games. Educational game tools are commonly used as media and sources of learning and children's play. For this reason, the management of educational game tools in early childhood education units is importan
A Protocol for Mutual Authentication in Remote Keyless Entry Systems that Employs Random Variables

The development of smart devices brings convenience to human life but also poses challenges in security replay attacks and tracking attacks by fake identities accessing assets. Therefore, the purpose of this paper is to improve previous mutual authentication protocols by proposing a mutual authentication protocol that uses random variables and encrypts frame data to address the issue of fake identity attacks. After implementing the protocol for the Remote Keyless Entry System (RKE) system, experimental results showed acceptable unlocking speed and security.
Automatic Keyphrase Extraction Using Fuzzy-Based Evolutionary Game Theory Approach

With the increased usage of social media, a massive amount of textual data is generated, which is used for applications such as commerce trend analysis, opinion mining, information retrieval, and so on. Automatic key extraction is a critical and important operation in this situation. Many graph-based approaches that employ co-occurrence as edge weight have been developed, but these algorithms ignore the semantic relationships between words. This paper offers an unsupervised automatic key extraction framework that combines evolutionary game theory with a fuzzy method. The suggested methodology treats automatic key extraction as a consistent labelling problem to ensure that candidates are consistently classified as key or non-key. Various datasets are employed for experimentation, and the outcomes suggest that the proposed approach outperforms the state-of-the-art methods.