Reviewerly/exHarmony huggingface dataset:
SUPPORT VECTOR REGRESSION (SVR) METHOD FOR PADDY GROWTH PHASE MODELING USING SENTINEL-1 IMAGE DATA

Support Vector Machines (SVMs) have received extensive attention over the last decade because it is claimed to be able to produce models that are accurate and have good predictions in various situations. This study aims to test the SVR (Support Vector Regression) method for modeling the growth phase of paddy using sentinel-1 image data. This method was compared for its accuracy with the LR (Linear Model) method using RMSE and R2 statistics and model stability using 10 repetitions. The accuracy of the model with the two best predictors is when the NDPI and API Polarization Index are the predictors. The paddy age model from the SVR method is better than the paddy age model from the LR method, where the SVR method produces a model with an average RMSE of 11.13 and an average coefficient of determination of 88.10%. The accuracy of the SVR model with NDPI and API predictors can be improved by adding VH polarization to the model, where the average RMSE statistic decreases to 11.0 and the average coefficient of determination becomes 88.42%. In this scenario, the best model gives a minimum RMSE value of 10.35 and a coefficient of determination of 90.05%.
A novel blockchain based framework for healthcare workers

The Covid-19 pandemic has surely made us realize that we can fall short of important equipment and drugs which do not reach people on time leading to deaths and tension. The reason for this is not only the lack of funds or raw materials but something even more disheartening. Even during these tough times, people have taken advantage of the situation where they keep and store important equipment like PPE kits, masks, sanitizers, etc. and start black marketing the same. This grave situation has occurred because of the lack of control, transparency, and traceability of the existing supply chain. Blockchain seems to be a good solution to this serious problem. Blockchain technology is used to store the data in a decentralized and immutable format keeping it private and safe from unintended users and tracking and tracing the products. This paper talks about the various use cases for healthcare workers and the various limitations of the existing blockchain framework for the forward supply chain. A framework is proposed that overcomes the limitations of the entire blockchain framework available and used for supply chain with its incentive mechanism which will help every participant in the chain.
Optical Hashing for Secure Data Compression in Heterogeneous Convolution Neural Networks

We introduce an optical hashing and compression scheme using analog optical AI accelerators for high-speed processing of encrypted data, offering improved performance and data security over electronic machine-learning accelerators.
Parametric amplification of a quantum pulse

We present a theory for the transformation of quantum wave packets by parametric amplifiers. We find that input wave packets couple to only two output modes and can be amplified without significant addition of noise.
Characterization of Energy-Time Entangled Photon Pairs by Time-Resolved Detection

We experimentally realize two-photon temporal imaging and dispersive Fourier spectrometry within a single optical setup. We measure the joint temporal and spectral intensities for the characterization of energy-time entangled photon pair.
Spontaneous emission from correlated emitters

We find the quantum state of light emitted from a many-body system of entangled emitters, presenting examples for cavity and waveguide QED. Squeezed and Schrodinger-cat states can be created by controlling emitter locations and interactions.
A CNOT Proposal for Temporal-Mode Qubits Based on the Difference Frequency Generation Process

Multiple proposals exist for implementing quantum operations on light-based qubits. We propose a nonlinear optics approach using the Difference Frequency Generation process for probabilistic CNOT gates in color qubits, analogous to polarization-based operations [1].
Website-Based Kaveling Land Marketing Information System in Kampar Programming Regency

Land is one of the most valuable assets for human life. In addition to a foothold, land is also a place to earn a living, build houses and assets that can be traded with high value. In obtaining land rights, it is usually done by transferring rights through buying and selling. At this time the marketing of land that has been plotted (plots) for Kampar Regency is still using the conventional method. This conventional method is to market the plots of land by word of mouth. In accordance with current technological developments, marketing is carried out by utilizing print media and social media such as Facebook and Instagram. However, this method is still not effective. Apart from the limited range, the information displayed is mixed with other sales information. To make it easier to reach and clarify marketing information for plots of land, it can be done by utilizing information technology and internet networks. So, information can be accessed by anyone, anytime and anywhere. The creation of a website-based land plot marketing information system in Kampar Regency aims to facilitate communication between sellers and buyers to interact with each other. The purpose of this study is to facilitate communication between sellers and buyers in marketing plots of land through a website. The research method used in this research is the waterfall method. This waterfall method has a sequential flow of software starting from planning, analysis, design, implementation, testing and maintenance. The design of this system uses the Unified Modeling Language (UML). The programming language used is PHP Framework Laravel and MySQL database.&#x0D;
Planning Design A Website-Based Mechanic Information System In Bangkinang Kota

The existence of information systems in various fields of companies and other industries, making a company / industry becomes developed. Menuru (Gama, 2011), the importance of information systems provides a function of presenting information, conveying information that can be processed and accessed easily. So with the development of information technology and information systems are able to make everyone to create new businesses that can increase the income of a region in particular and the income of the country in general. The application of information systems in automotive is important because it will be very supportive in processing data, transactions, and making reports easily computerized. To increase the number of existing workshop customers, the service or support of the information system is very important to maintain the continuity of the workshop, especially to increase the amount of revenue through increasing the number of customers. Such as service facilities that come to where vehicle users are located to provide ease of use of service facilities through the creation of web-based applications.&#x0D;
Forms and Methods of Developing Social Adaptation Skills of Children’s Music School Students by Means of Musical and Theatrical Activities

In the article, based on the analysis of scientific sources on the specified problem, the essential characteristics of the main concepts of the study are presented. The expediency of using the means of musical and theatrical activity in the development of social adaptation skills of students of children’s music schools is substantiated. It is emphasized that a powerful means of optimizing the process of social adaptation of children is art, which is considered one of the most effective means of internalizing social experience, values, etc. Thanks to artistic, in particular musical and theatrical activities, a conditional reality is created in which the student learns to recognize and satisfy his needs, enrich his interests, and determine the general trajectory of his life path. Musical and theatrical activities give students the opportunity to gain experience in social communication as part of their studies. Individual, group, and collective forms of interaction of students using creative and performing activities, which can be carried out in various ways (performance on musical instruments and vocal performances, games in performances, rhythmic and plastic improvisations with musical accompaniment, movements, and dances, etc.) are offered. Relevant methods of development of the specified skills, which involve the use of a set of exercises, are highlighted. These exercises can be used not only for the development of these skills, but also for the improvement of performance skills, artistry, empathy, self-regulation of the psychological state during a stage performance, etc. through the awareness and manifestation of bodily, emotional sensations and ideas.
VOCATION AND CAREER CHOICE IN HIGHER ART EDUCATION

Music education in the early 21st century is aimed at a new educational paradigm in the context of post-non-classical art pedagogy. An integral feature of modern art education is focus on formation of an artist with a bright, multifaceted and creative individuality, as well as vocation for potential career choice. It means an individual’s awareness of the conditions and requirements of social existence, the readiness and ability to respond to social changes and needs, to hear and understand one’s personal calling in them. Vocation is an ethical phenomenon, a manifestation of motivation to achieve intangible benefits or do good. At the same time, vocation is an existential phenomenon. A person lives in a vocation, seeks it for himself, feels the futility of existence without it. In general, in applied research, vocation is associated with a certain human activity, mainly professional. Thus, pedagogical activity is combined with a professional vocation. These processes take place through the assimilation of the experience of previous generations and contemporaries, where the individual is involved in the cultural and spiritual space of his community. The sense of art education is to focus a person’s attention on the purpose of his creative activity, on understanding and choosing the good that he wants to grasp and realize in his life. Therefore, it is relevant to discuss the possibilities of practical implementation of the vocation factor in the system of music education and specialists training in this field. This provides an opportunity to form a new type of mentality and behavior of people, in which the motive of the individual’s self-development plays a more significant role.
Educational Issues of Development of Future Music Teacher’s Creative Potential in the Course of Metodological Training

Modern society is characterised by rapid changes in all areas of life, which especially affects the development of educational space where new values and digital technologies, new lifestyles that require advanced educational and pedagogical conditions. The personality development takes place throughout the entire life, yet, it becomes of particular importance at the stage of undergoing professional training in a higher education institution when the foundations of professional qualities of a specialist are formed. That is why creative potential as a personal trait of a future music teacher is gaining more and more relevance at the current stage of development of higher education, as the effectiveness of a student’s future professional activity depends not only on professional skills and abilities, but also on a student’s personal creative development. For a long period of time, the issues of methodological training of future specialists in the field of music were considered in line with the concept of social behaviour regulation due to the way the respective educational process was organized. The current processes in Ukraine necessitate the reinvention of the conceptual foundations of the training of future music teachers. The paper considers current educational issues of development of creative potential of a future music teacher in the course of metodological training. It analyses the state of the studied issue in psychological and pedagogical theory and practice, determines the objective and reveals the essence of pedagogical conditions in the educational process and their effect on development of the creative potential of a futur
Website-Based Kaveling Land Marketing Information System in Kampar Regency Planning

The land is one of the valuable assets of human life. In addition to beachheads, lthe and is also a place to make a living, set up houses and assets that can be traded at a high value. Acquiring land rights is usually done by transferring rights through buying and selling. Currently, the marketing of land that has been tiled (kaveling) for Kampar Regency is still using conventional means. The conventional way is to market the kaveling soil by word of mouth. In accordance with current technological developments, marketing is done by utilizing print media and social media such as Facebook and Instagram. This method is still ineffective. Aside from the limited range, the information displayed mixes with other sales information. To facilitate the reach and clarify the marketing information of kaveling land, it can be done by utilizing information technology and internet networks. So, information can be accessed by anyone, anytime and anywhere. The creation of a website-based kaveling land marketing information system in Kampar Regency aims to facilitate communication between sellers and buyers to interact with each other. The purpose of this research is to facilitate communication between sellers and buyers in marketing kaveling land through a website. The research method used in this study is the waterfall method. This waterfall method has a sequential flow of software starting from planning, analysis, design, implementation, testing and maintenance. This system is designed using Unified Modelling Language (UML).
Enterprise Transformation in the Digital Age

In recent years, digitization has been applied to varying degrees across different industries. With the advent of the digital era, accounting practices are undergoing significant transformations. This article explores the impact of digital transformation on traditional accounting, emphasizing the role of digital technology in enhancing financial decision-making efficiency, accuracy, and automation. Block chain technology is thoroughly examined to explain how it provides a distributed ledger, enhancing transparency and tamper resistance, and altering transaction execution through smart contracts. However, digital accounting faces a series of challenges, including issues related to data privacy, security, and the need for employee training. The article underscores the new requirements imposed on accounting professionals in the digital age, encompassing technical skills, communication abilities, and innovative thinking. Additionally, sustainable development in accounting practices is being propelled by digital tools, elevating the quality of corporate reporting in environmental, social, and corporate governance aspects. Finally, through in-depth case studies, the article summarizes the experiences and lessons learned by some companies that have successfully navigated the accounting challenges of the digital era. This serves as a valuable reference for other organizations during this transformative period.
Digital leap in the New Mexican school since the pandemic lockdown: Challenges for governance and pedagogical processes

This paper analyzes the extent to which the use of digital education platforms (DEP), which was exacerbated by the COVID-19 pandemic lockdown, has modified educational policies for digital transition in schools in the context of the last Mexican educational reform (2019), teaching-learning processes, and school-family relations. Our main hypothesis is that the digital leap, in the New Mexican School that emerged from the last educational reform, has considerably modified the methods of educational governance, the pedagogical processes in schooling, and the ways of communication between schools and families, with implications for children’s rights. The objective is to identify, from the stakeholders’ perspectives, the effects of the growing importance of BigTech corporations in Mexico and of the expansion of digital capitalism, which deepened as an effect of school closures due to the pandemic, and to analyze the results from the gender perspective. The research methodology is qualitative based on in-depth interviews with policymakers and a survey of 70 school principals, teachers, and families from the five educational regions of the country. Our main research objective is to explore the perceptions, experiences, and opinions of women and men in urban and rural environments about the changes experienced since the pandemic in terms of digital transition and to identify the benefits and constraints of using DEP in schooling contexts.
FedPAGE: Pruning Adaptively Toward Global Efficiency of Heterogeneous Federated Learning

When workers are heterogeneous in computing and transmission capabilities, the global efficiency of federated learning suffers from the straggler issue, i.e., the slowest worker drags down the overall training process. We propose a novel and efficient federated learning framework named FedPAGE, where workers perform distributed pruning adaptively towards global efficiency, i.e., fast training and high accuracy. For fast training, we develop a pruning rate learning approach generating an adaptive pruning rate for each worker, making the overall update time approximate to the fastest worker’s update time, i.e., no stragglers. For high accuracy, we find that structural similarity between sub-models is essential to global model accuracy in the distributed pruning, and thus propose the CIG_X pruning scheme to ensure maximum similarity. Meanwhile, we adopt the sparse training and design model aggregating of different size sub-models to cope with distributed pruning. We prove the convergence of FedPAGE and demonstrate the effectiveness of FedPAGE on image classification and natural language inference tasks. Compared with the state-of-the-art, FedPAGE achieves higher accuracy with the same speedup ratio.
Formal Synthesis of Safety Controllers for Unknown Systems Using Gaussian Process Transfer Learning

In this work, we propose a data-driven approach for synthesizing safety controllers for unknown nonlinear control systems using Gaussian Process (GP) transfer learning. Our approach involves two steps. The first step involves learning a GP model using data sampled from the system. Our method allows for leveraging a previously learned GP model of a related system, known as the source system (e.g., robot deployed in slightly different environmental conditions), to learn a GP model for the system at hand, known as the target system. This is required in situations where data collection for the target system is expensive or time consuming. In the second step, we compute a control barrier function together with a corresponding controller based on the learned GP model. In addition, we quantify the lower bound on the probability of safety satisfaction for the target system equipped with the synthesized controller. We demonstrate the effectiveness of the proposed approach by applying it to a jet engine case study.
Active Learning-Based Sample Selection for Label-Efficient Blind Image Quality Assessment

Despite the considerable effort devoted to high-generalizable blind image quality assessment (BIQA), the generalization performance of the state-of-the-art metrics remains limited when facing new visual scenes. A straightforward way to address the dilemma is labeling a great number of images from the new scene and subsequently training a new model, which is quite labor-intensive and cost-expensive. Hence, there is an urgent need to mitigate the dependency on labeled samples by designing a data-efficient BIQA algorithm. Motivated by the above facts, this paper presents an Active Learning-based IQA (AL-IQA) framework, which reduces the requirement for training samples by selecting representative images from two perspectives, including distortion and content. Specifically, in terms of distortion, we design distortion prompts and adopt Contrastive Language-Image Pre-Training (CLIP) to predict image distortion in a zero-shot manner. Then, we employ curriculum learning-inspired strategy to select samples with gradually increasing difficulty (measured by prediction uncertainty of CLIP), in order to facilitate model training. Meantime, in terms of content, we adopt distribution matching-based dataset distillation to distill unlabeled images into several high-density informative synthetic images. Then, feature distances between unlabeled images and distilled images are compared to identify images with the most representative content. Finally, Borda count is adopted to capture a consensus of both distortion and content through weighted counting, and prompt tuning is utilized for adapting the model to the IQA task. Extensive experiments are conducted on five IQA datasets, and the results demonstrate that the proposed AL-IQA not only effectively reduces the number of training samples but also achieves state-of-the-art prediction accuracy and generalization performance. The source code is available at https://github.com/esnthere/AL-IQA.
Possibilities for interactive animation elements on web browsers

The advancement of web technologies has paved the way for dynamic and interactive web experiences. Interactive animation elements, a burgeoning facet of modern web design, have become pivotal in engaging and captivating students in the learning process. This paper delves into the diverse possibilities and techniques available for implementing interactive animations within web browsers. We will explore various programming languages such as JavaScript, and GDScript as well as third party support libraries in creating interactive animations such as velocity.js, and anime.js. We will explain the proper procedure for creating dynamic interactive animations as well as how to technically implement them. Additionally, the potential of integrating interactive animations with user interfaces and user experiences is explored, emphasizing their impact on enhancing website usability and visual appeal. Understanding these possibilities and harnessing the potential of interactive animations can significantly elevate web design, offering a new dimension of user engagement and interactivity in the digital realm.
Demand forecasting method of online music teaching in Colleges and Universities Based on Fuzzy Cognitive Map

Online music education is unprecedented, and online music teaching has become a new trend in the development of music education. However, the current teaching quality evaluation system has not been formed to adapt to the online music classroom, a considerable number of online music classes still use the traditional evaluation standards of offline music courses. Based on this, this paper studies the demand prediction method of College Online Music Teaching Based on fuzzy cognitive map, and the establishment of music online teaching evaluation system has become the decisive factor for the sustainable development of online music education. This paper constructs the online music teaching evaluation system from three aspects of foundation, process and result, constructs the music online teaching quality evaluation system from four aspects of organization strategy, goal strategy, support strategy and feedback strategy, and puts forward the improvement strategy of online music teaching evaluation system, so as to improve the quality and effect of online music teaching evaluation, It lays a theoretical foundation for better online music teaching.