Reviewerly/exHarmony huggingface dataset:
Towards an Intelligent Assistive System Based on Augmented Reality and Serious Games

&lt;p&gt;Age-related cognitive impairment is generally characterized by gradual memory loss and decision-making difficulties. The aim of this study is to investigate multi-level support and suggest relevant helping means for the elderly with mild cognitive impairment as well as their caregivers as the primary end-users. This work reports preliminary results on an intelligent assistive system achieved through the integration of the Internet of Things, augmented reality, and adaptive fuzzy decision-making methods. The proposed system operates in different modes, including automated and semi-automated modes. The former helps the user complete their daily life activities by showing augmented reality messages or making automatic changes; while the latter allows manual changes after the real-time assessment of the user’s cognitive state based on the augmented reality serious game score. We have also evaluated the accuracy of the serious game score with 37 elderly participants and compared it with users’ paper-based cognitive test results. We further noted that there is an acceptable correlation between the paper-based test and users’ serious game scores. Moreover, we observed that the system response in&lt;/p&gt;
Image analysis method based on weighted probability model

&lt;p&gt; Image analysis and compression We usually use Fourier transform, DCT transform and wavelet transform. The image transformation method based on weighted probability model is the new method described in this paper. We reasoned iterative formula of binary sequence-weighted probability model transformation versus inverse transformation, The encoding method of binary sequence transformation and inverse transformation are constructed. In the image transformation and inverse transformation experiment, yielded large number of duplicate values in the transformed data, which is suitable for the construction of a new image compression method. The inverse transform can reconstruct the image effectively, and has the obvious image edge annotation effect. This method can be used in image compression, image edge detection, image sharpening and intelligent recognition. &lt;/p&gt;
CID22: Large-Scale Subjective Quality Assessment for High Fidelity Image Compression

&lt;p&gt;We propose a new methodology for large-scale subjective quality assessment of compressed still images in the high fidelity range. Combining two different assessment protocols, one based on pairwise comparisons, the other on absolute opinions, it is designed to assess this range of qualities not well-covered by previous methodologies. The methodology was applied to create the Cloudinary Image Dataset '22 (CID22), consisting of 22,153 annotated images (with scores based on 1.4 million opinions), originating from 250 pristine images compressed using JPEG, JPEG 2000, JPEG XL, HEIC, WebP, and AVIF at high fidelity settings. Using this data, we evaluate various image encoders and objective metrics.&lt;/p&gt;
Backtesting quantum computing algorithms for portfolio optimization

&lt;p&gt;The development of quantum computers represents a breakthrough in the evolution of computing. Their graceful processing capacity will help to solve some problems impossible until now because the algorithms that calculate their solution require too much amount of memory or processing time. In portfolio theory, the investment portfolio optimization problem is one of those problems whose complexity grows exponentially with the number of assets. In this work we analyze the Variational Quantum Eigensolver algorithm, applied to solve the portfolio optimization problem, running on simulators and real quantum computers from IBM. We compare the results with three other classical algorithms for the same problem, running one equivalent condition. By backtesting classical and quantum computing algorithms, we can get a sense of how these algorithms might perform in the real world. This work explores the backtesting of quantum and classical computing algorithms for portfolio optimization and compares the results. The benefits and drawbacks of backtesting are discussed, as well as some of the challenges involved in using real quantum computers of more than 100 qubits. Results show quantum algorithms can be competitive with classical ones, with the advantage of being able to handle a large number of assets in a reasonable time on a future larger quantum computer.&lt;/p&gt;
Correction: Bernardi et al. OH-Defects in Detrital Quartz Grains from the Julian Basin (NE Italy and Slovenia): A Fourier Transform Infrared Study. Geosciences 2022, 12, 90

The authors would like to correct the published article [...]
Analysis on the Protection of Short Video Copyright and Countermeasures for Short Video Copyright Protection

Short video is born with the development and operation of the Internet environment and has become one of the most popular entertainment consumer products. However, while the short video industry is booming, it also faces the problem of copyright infringement. The reason is that the creation, secondary creation and dissemination of short videos are simple and the cost of infringement is low, so the frequent infringement cases hinder the development of short video market which discourage the enthusiasm of video creators. Alleviating copyright infringement will help copyright protection agencies and relevant laws and regulations improve. Therefore, this paper studies the current short video industry, the current typical infringement phenomenon was described. To be specific, it describes in detail the problems existing in the current governance of copyright in the field of short video. The definition and ownership of short video copyright is not clear, the short video content supervision system is not perfect, and the responsibilities of short video platforms are still to be solved. In view of the outstanding problems, the paper proposed the countermeasures to complete the definition and attribution of short video, establish a sound supervision system, and improve the responsibility of short video platform.
STUDY ON TEACHERS' PERSONAL QUALITIES, SELF-DEVELOPMENT SKILLS

The article presents the results of an experimental study on teachers’ personal qualities, as well as their self-development abilities. The aim of the study is to find out the peculiarities of lecturers’ personal qualities and self-development. Among the lecturers the following personal factors have been found above the average: warmth, rule-consciousness, emotional stability, social boldness, abstractedness, openness to change. And the indicators of self-development are average for lecturers, which shows that lecturers are able to realize their own opportunities, to develop themselves for professional growth. And after the analysis of the questionnaire results, we can conclude that for the Armenian lecturers the actions taken for self-recognition are as follows: self-development, retraining, communication with their colleagues, they prefer to be professional. The lecturers of the psychological weakness considered the following qualities: kindness, sincerity, difficult to accept innovations, lack of language knowledge.
PSYCHOLOGICAL STUDY OF TEACHERS` PERCEPTION OF CREATIVITY IMPORTANCE

The purpose of the article is to study the perception of creativity of teachers and experts in the field of education and to present the importance of creativity among the professional psychological qualities of a teacher. To achieve this goal, we conducted a theoretical analysis of creativity and teachers' creativity and did a questionnaire study of experts in the field of education and teachers. Based on the research data we concluded that experts and teachers value creativity more than its components: curiosity, versatility, originality of thinking and ingenuity. This proves that there is no clear understanding of creativity among teachers and experts. They highlight creativity, however they have no perception of the exact content of it? It turned out also that the importance of creativity and its components as professional qualities for teachers rises along with teachers' work experience.
Development of Smart Health Application for Patient Record Management, Prescription, and Appointment

A system based on an Android application has gained great popularity for making people's lives easier.Since mobile platforms have become more user-friendly, computationally powerful, and affordable, innovations in mobile software applications can be beneficial to public health.We have developed and evaluated application that facilitates the connection between doctors and patients.A user-friendly interface has been developed to make this system efficient and user-friendly, providing the doctor with previous detailed patient information that is stored permanently in the database, making it easy for the doctor to review previous prescriptions of the specific patient when they encounter any problems.After successful registration and login, the patient can book an appointment and view prescribed medicines by the doctor and past lab records.The purpose of this application is to record patient information in a digital format for future reference.
Hitchhiker's Guide to the TFHE Scheme

Abstract Also referred to as the holy grail of cryptography, Fully Homomorphic Encryption (FHE) allows for arbitrary calculations over encrypted data. First proposed as a challenge by Rivest et al. in 1978, the existence of an FHE scheme has only been shown by Gentry in 2009. However, until these days, existing general-purpose FHE schemes suffer from a substantial computational overhead, which has been vastly reduced since the original construction of Gentry, but it still poses an obstacle that prevents a massive practical deployment of FHE. The TFHE scheme by Chillotti et al. represents the state-of-the-art among general-purpose FHE schemes. This paper aims to serve as a thorough guide to the TFHE scheme, with a strong focus on the reliability of computations over encrypted data, and help researchers and developers understand the internal mechanisms of TFHE in detail. In particular, it may serve as a baseline for future improvements and/or modifications of TFHE or related schemes.
Prediksi Perkembangan Nilai Impor Komoditas Utama di Provinsi Sumatera Selatan Menggunakan C4.5

Currently, our world is still being hit by the Covid-19 virus which has impacted society, experiencing a rapid decline in the economy. At present we are entering a market where the economy is very minimal, especially in the province of South Sumatra. This affects the import value of main commodities in South Sumatra Province. So in this study, researchers conducted trials in classifying matters related to cases of predicting the level of development of the value of imports of main commodities in South Sumatra Province. In this study, predictions will be made on the level of development of the value of imports of key commodities by applying the C4.5 method, so that they can be used as material for decision-making in building a more advanced government. Based on the results of the trial, the conclusion obtained is that as an importer, you should be wiser in determining the value of imports, especially if the wealth in our province is of greater interest to other countries. So far, the South Sumatra Province has a higher import value of fertilizer compared to other types of imports. This can be used in making a policy that is significant enough to be able to make the import value prices in the South Sumatra Province all high. Based on the trial results using the orange application, an accuracy of 96.15% was obtained, meaning it had an error rate of 13.85%. This shows from the results of testing using the Decision Tree that it is very good enough to be used in predicting the level of import value.
How Electronic Medical Record Integration Can Support More Efficient Critical Care Clinical Trials

Large volumes of data are collected on critically ill patients, and using data science to extract information from the electronic medical record (EMR) and to inform the design of clinical trials represents a new opportunity in critical care research. Using improved methods of phenotyping critical illnesses, subject identification and enrollment, and targeted treatment group assignment alongside newer trial designs such as adaptive platform trials can increase efficiency while lowering costs. Some tools such as the EMR to automate data collection are already in use. Refinement of data science approaches in critical illness research will allow for better clinical trials and, ultimately, improved patient outcomes.
A Study on the Policy Process of the Conflict of Interest Prevention Act

The purpose of this study is to analyze the factors influencing the process of enacting the Conflict of Interest Prevention Act using the combined model of the Multiple Streams Framework and the Advocacy Coalition Framework to explore which factors are decisive factors in the policy process and lead irrational decisions.&#x0D; According to the study, the dynamic variables of the ACF consist real estate explosion, LH scandal, and 4.7 by-elections, and they operated as the main streams of the MSF. The real estate explosion, Sohn Hye-won and Park Deok-heum scandals, LH scandal, and the political flow of 4.7 by-elections combined to open the policy window. Opening the policy window, legislation was made through the activities of the Advocacy Coalition and Policy Entrepreneurs who obtained the driving force, but it contain problems - effectiveness of conflict of interest management for member of the National Assembly and heads of institutions, authority to manage conflict of interest divided by the Ministry of Personnel Management and the ACRC, and other issues of effectiveness of system operation, etc. - as the legislation was made quickly as it was caught up in the political schedules and the public anger.&#x0D; This study shows that meeting the accumulated streams of problems and political streams is a necessary factor in policy process and that preparation of policy streams, which are policy alternatives, is necessary. In addition, it presents that if policy alternatives, belief systems, and policy advocacy coalition are not prepared, they can fail at a mere level even if they are legislated.
Korean History Research in the Rise of Korean Studies and Regional Studies

The field of Korean history has made remarkable progress in the 21st century both qualitatively and quantitatively thanks to the efforts of researchers. Korean historians today are concerned with issues such as overcoming the division of Korea, maintaining universality in the process of globalization, recalibrating the status of the people and the state as subjects of history, popularizing historical studies using visual media, and elevating the status of history education and providing quality contents at universities and secondary schools. Korean studies and Korean regional studies have recently investigated Seoul and the other regions using a comprehensive and integrated methodology. Unlike other disciplines of humanities and social sciences, Korean history research uses methodologies from long-standing traditions and encompasses comprehensive fields such as politics, economy, society, thought, and culture. The study of Korean history is thus fundamentally intertwined with Korean studies and Regional studies, and researchers are already involved both directly and indirectly as a part of the movement to invigorate regional academia. However, the sudden rise of Korean and Regional studies have resulted in the mass production of research outcomes from studies lacking their own methodology and disciplinary systems. This is a concern for Korean history researchers with more traditional academic training. Korean history, as an academic discipline which has long employed its own systematic research methodologies, can serve as an exemplary model for Korean and Regional studies that pursue interdisciplinary approaches.BR This paper examines the research processes and genealogies that have contributed to the rise of Korean studies. Following a description of the current conditions of Korean regional studies and its search for suitable research methodologies, the paper reviews the responses made by the academic communities of Korean history by focusing on the academic environment, its shortcomings, and aims.BR The academic community of Korean history should serve as the steppingstone for the development of original research methodologies that are well adapted to continuous change. To prevent studies from becoming mechanical, monotonous, or fragmentary, the community must promote an academic culture that encourages researchers to conduct empirical and in-depth analyses and produce better outcomes that reflect such efforts.
Prototype Sistem Monitoring Intensitas Cahaya pada Budidaya Tanaman Cabai Rawit dengan Konsep Smart Farming Berbasis Internet Of Things (IOT)

Light intensity is an important factor to consider as best as possible to support plant fertility and health, especially in cayenne pepper plants. One of the innovations that can be applied to assist the management and maintenance of plants in Greenouse is agricultural technology based on the Internet of Things (IoT) or called smart sarming. In the use of Smart farming technology, the process of Monitoring crop needs is carried out by sensors and microcontrollers so that farmers can monitor all data in real time. This final project aims to describe the implementation of a light intensity Monitoring system in an IoT-based Greenhouse and produce a light intensity Monitoring tool in a Greenhouse using an LDR sensor so that farmers can know that the plants are getting an adequate supply of light. The smart farming system is designed using the MQTT (Message Queue Telemetry Transport) protocol as the center for transferring and receiving data from sensors to Monitoring applications. The stages of implementing system into the Greenhouse include: (1) installation of sensors and microcontrollers on the Prototype Greenhouse for cayenne pepper cultivation; (2) design and decision-making to be carried out by the system; (3) create web and android applications as a place for Monitoring data by end users. The results show that the light intensity Monitoring system in cayenne pepper cultivation is based on the Internet Of Things (IoT), include: first, the manufacture of a system Monitoring tool whose light intensity is carried out in 4 steps, namely determining the components, assembling of components into a series of Monitoring systems, programming toolkits and application software, and packaging step. And the second, the implementation of the light intensity Monitoring system in cayenne pepper cultivation includes the system trial stage which produces an average value of 2676 LUX or 62.43% on sensor readings 12 times over a period of 3 minutes it is still at the optimal level for the growth of cayenne pepper plants with a minimum intensity value of 2528 or 50%. The output value calibration results on the Monitoring application with the LUX Meter application show the same and accurate value. So, it can be concluded that the IoT-based light intensity Monitoring system can run well and can be implemented for Greenhouse farming of cayenne pepper.
CALISTUNG TRAINING AND ENGLISH VOCABULARY IMPROVEMENT FOR SCHOOL CHILDREN IN SUKAJULU VILLAGE

Community Service activities carried out by students do not mean teaching the community about what is best for them, but carrying out empowerment as a process of searching (research) carried out together to find the best way to solve the problems they face. Students carry out the task of assisting what is needed by the community in dealing with social problems that exist in their midst. This method is considered to play an important role because of a number of benefits. In children, reading can be seen as simply sounding strings of letters or letters, writing means writing letters together, and counting means simply adding, multiplying, and dividing.
Secure Tandem Authentication System

Abstract: This paper describes a method of implementing two factor authentication using password authentication and face authentication. The proposed method guarantees secure authentication to online banking and other areas of utilizing user credentials with the help of knowledge factor and biometric factor. The proposed method has been implemented and tested.
Multi-Factor Authentication Using Cryptography and Steganography

Abstract: Authentication, security, and confidentiality are some of the most important topics of cyber security. It is a critical component of any security system and is essential in ensuring that only authorized personnel can access sensitive information or perform specific actions. There is a large amount of data that is confidential and there are lots of threats to the data if it is not secured properly. It involves the protection of networks or data from unauthorized manipulation and destruction
Cinephiles Integration System using ML

Abstract: Our project aims to create a movie recommendation and community platform where users can discover and share their favorite movies with others. The platform will utilize a recommendation system to suggest personalized movie recommendations based on the user's preferences and viewing history. Users will also be able to rate and review movies, create watchlists, and follow other users with similar movie tastes. The community aspect of the platform will allow users to engage with others through forums, discussions, and private messaging. This will create a space for movie enthusiasts to connect and share their thoughts on the latest releases, hidden gems, and all-time favorites. To develop the recommendation system, we will use collaborative filtering and content-based filtering techniques. The platform will also utilize machine learning algorithms to analyze user behavior and provide more accurate recommendations over time. Overall, our movie recommendation and community platform will provide a comprehensive and interactive movie-watching experience for users while promoting a sense of community among movie enthusiasts.
From CNNs to Shift-Invariant Twin Models Based on Complex Wavelets

We propose a novel antialiasing method to increase shift invariance and prediction accuracy in convolutional neural networks. Specifically, we replace the first-layer combination "real-valued convolutions + max pooling" ($\mathbb{R}$Max) by "complex-valued convolutions + modulus" ($\mathbb{C}$Mod), which is stable to translations. To justify our approach, we claim that $\mathbb{C}$Mod and $\mathbb{R}$Max produce comparable outputs when the convolution kernel is band-pass and oriented (Gabor-like filter). In this context, $\mathbb{C}$Mod can be considered as a stable alternative to $\mathbb{R}$Max. Thus, prior to antialiasing, we force the convolution kernels to adopt such a Gabor-like structure. The corresponding architecture is called mathematical twin, because it employs a well-defined mathematical operator to mimic the behavior of the original, freely-trained model. Our antialiasing approach achieves superior accuracy on ImageNet and CIFAR-10 classification tasks, compared to prior methods based on low-pass filtering. Arguably, our approach's emphasis on retaining high-frequency details contributes to a better balance between shift invariance and information preservation, resulting in improved performance. Furthermore, it has a lower computational cost and memory footprint than concurrent work, making it a promising solution for practical implementation.