Reviewerly/exHarmony huggingface dataset:
SPANSE: Combining sparsity with density for efficient one-time code-based digital signatures

The use of codes defined by sparse characteristic matrices, like QC-LDPC and QC-MDPC codes, has become an established solution to design secure and efficient code-based public-key encryption schemes, as also witnessed by the ongoing NIST post-quantum cryptography standardization process. However, similar approaches have been less fortunate in the context of code-based digital signatures, since no secure and efficient signature scheme based on these codes is available to date. The main limitation of previous attempts in this line of research has been the use of sparse signatures, which produces some leakage of information about the private key. In this paper, we propose a new code-based digital signature scheme that overcomes such a problem by publishing signatures that are abnormally dense, rather than sparse. This eliminates the possibility of deducing information from the sparsity of signatures, and follows a recent trend in code-based cryptography exploiting the hardness of the decoding problem for large-weight vectors, instead of its classical version based on small-weight vectors. We focus on one-time use and provide a first parameterization of the new scheme, the main advantages of which are very fast signature generation and verification, and public keys that are not too large for a code-based signature scheme.
A Study on the Integration Approach between South Korean National Accreditation for higher education institutions and Major Global University Rankings

[Purpose]As we enter the era of the 4th Industrial Revolution, characterized by intensified global competition, the importance of high-quality education and research capabilities has grown significantly. However, there is a projected significant decrease in the number of college admissions due to a declining school-age population, which has led to increased interest in university evaluation systems that influence university reform and government support policies. Nevertheless, recent South Korean universities have experienced declines in some rankings in global university evaluations, and their efforts to enhance international competitiveness are facing limitations.&#x0D; [Methods] In this study, I examined indicators from the South Korean domestic university accreditation evaluation known as the “3rd Cycle University Institutional Accreditation”, as well as evaluation indicators from major global university rankings such as QS and THE. I compared the evaluation indicators of QS and THE world university rankings and calculated their similarities. Additionally, detailed indicators between university institutional accreditation evaluations and major global university rankings were compared.&#x0D; [Results]The similarity between university institutional accreditation evaluations and major global university rankings(including sustainability evaluations) is very low. However, in the “University Performance and Social Responsibility” domain, which is closely related to global university rankings, there is a high potential for linkage. As a result, I have derived “strengthening indicators” with the aim of enhancing the international competitiveness of universities and indicated “linkage indicators”.&#x0D; [Conclusion]By aligning the indicators of legally binding the university accreditation evaluations with those of major global university rankings, it is anticipated that the preparation for domestic university institutional accreditation and the preparation for global university ranking assessments can be conducted simultaneously, thereby assisting in improving universities' international competitiveness and enhancing their internal competitive capabilities.
Retracted: Ultrasonic Image Restoration Algorithm for Prevention of Nervous Disorders during the Recovery Period of Patients Receiving Sevoflurane Anesthesia

[This retracts the article DOI: 10.1155/2021/6124346.].
Review of Research Status of Autonomous Mobile Robot Environment Recognition and Path Planning Algorithms

The convergence of Industry 4.0 and the challenges posed by the COVID-19 pandemic amplify the growth prospects and market reach of autonomous mobile robots. This paper elucidates the current research landscape and forward-looking trajectory concerning perception systems for autonomous mobile robots. It advocates a future-oriented development path grounded in the utilization of vision sensors and multi-sensor configurations to enhance environmental recognition. Addressing the imperative of bolstering environmental discernment in intricate settings remains a priority. An emerging area of interest pertains to terrain prediction algorithms. The ensuing section deliberates upon the merits and demerits intrinsic to distinct robot path planning algorithms. These algorithms can be categorized into global path planning algorithms, entrusted with charting optimal overarching courses, and local path planning algorithms, designed to navigate impediments and effect localized route refinements. Envisioning the future, the maturation of robot path planning algorithms is poised to embrace multi-algorithm collaborative applications.
Defect and Compensation: An Inquiry of Methodological Principles for a Moral Instructional Activity Based on L. S. Vygotsky’s Theory

Purpose: The purpose of this study is to present methodological principles for moral instructional activity based on L. S. Vygotsky’s theory.&#x0D; Methods: By analyzing the literature on Vygotsky’s developmental theory, it revealed its educational significance and its intrinsic relationship with moral instructional activity. Moreover, paying attention to Vygotsky’s defectology, which has not received much attention to-date, assisted in the exploration of the methodological principles of instructional activity.&#x0D; Results: According to the study, Vygotsky’s defectology became an important base for seeking the methodological principles of moral instructional activity. The idea of ‘the developmental axis of defect-overcompensation’ he proposed shows that the principle can be summarized as ‘opposition’. Through opposition, students experience qualitative change, which can be said to indicate a phenomenon of learning.&#x0D; Conclusion: According to Vygotsky’s defectology, the teacher’s task should be to provide students with the experience of ‘opposition’. The reason why this experience does not end with a pure interruptionis because of the mental power of ‘overcompensation’ and its dynamic movement toward the ideal of life and education. Teachers must constantly respect that mental power and need to recognize thatit is revealed and established by ‘defect’.
Efficient obstacle avoidance and path planning for mobile agent through complicated environments

The Dynamic Window Approach (DWA) suffers from unreasonable planning or is prone to obstacle avoidance failure when the mobile agent operates in a complex environment with dense obstacle distribution. An improved DWA path planning algorithm (IDWA) is proposed to address the above problems. Firstly, the heading angle function is modified to improve navigation ability for mobile agent reaching at the target point while ensuring operational safety. Secondly, the obstacle function is optimized to avoid the agent going around the obstacle’s edge. Finally, a complex scenario with multiple obstacles of different passing difficulties is constructed to verify the feasibility of the proposed method. Simulation experiments show that IDWA significantly improves the agent's passage efficiency and local search ability, and the path planning is more reasonable with smaller path deviation and heading deviation.
Simulation of autonomous inspection robot application based on ROS

Simultaneous Localization and Map construction (SLAM) is a hot research topic in mobile robotics and is a crucial technology for developing inspection robots. This paper focuses on mapping the environment by analyzing the Gmapping and Karto Slam algorithms' mapping effects and constructing a simulation environment map using the Karto Slam algorithm. To address the obstacle avoidance problem that cannot be handled by only using the Dijkstra algorithm for global path planning, an improved DWA algorithm is introduced for local path planning to optimize the real-time obstacle avoidance function of the robot. Based on the construction of a robot simulation platform, this paper studies the previous simulation of an autonomous inspection robot before actual experiments. Through simulation experiments of mapping and path planning, this study provides support for the feasibility of robot field experiments, reducing the cycle and difficulty of on-site debugging.
Design and implementation of a digital protection platform for Beijing carved lacquer in a web environment

On the basis of analyzing the current situation of digital protection of Beijing lacquer carvings, the necessity of constructing a digital protection platform for Beijing lacquer carvings is proposed, and the overall logical model of the platform is designed. On the basis of the system logic model, following the steps of software engineering, starting from requirement analysis, the selection of development tools and detailed design of the database were carried out. Finally, the main functions of the platform were implemented using methods such as real-time browsing algorithms for large images based on cutting and VRML plugins.
The Development of Digital Library Platform in Indonesian School Library

The purposes of this research are to find the needs of Digital Library Application Development, to create the prototype of Digital Library Application Development and to find the validation level, practicality, and effectiveness of Digital Library Application Development. This research method used Research and Development, which uses ADDIE (analysis, Design, Development, Implementation, Evaluation). The subjects of this research were 1 expert, 1 media expert, 1 leader, 4 librarians, 10 teachers, and 35 students. The method of collecting data used in this research were interviews, observation, and questionnaires. Based on the result of this research, it shows that the digital library application development is necessary to improve the learning and teaching process, with the centralized database, it can help the users access the information and help the librarian to manage the school library. The prototype of the library application development of Athirah Islamic School provides some descriptions that the library application is suitable for the users' needs. The testing result by the expert shows that the digital library application of Athirah Islamic School has fulfilled the very valid category through some field-testing steps such as content validation and media validation. The level of practicality of digital library application can be seen from the testing result of the product based on the technical aspect given by the practitioners (libraries, students, and teachers) that fulfills the strongly agree criteria or very practical category. The level of effectiveness of the library application use can be seen from the questionnaire results given to the students, teachers, and librarians. It can be concluded that of 5 indicators such as: system quality, information quality, serving quality, users' satisfaction and the net benefit obtained that the library application is at a very effective qualification level.
Enterprise Data Collection and Cross-Referencing System

Enterprise environments involve a large set of servers and databases containing fluid and sometime inconsistent information regarding people, infrastructure, inventory, and organizational structure. IT support must have access and use all this information to properly offer the right services and preemptive actions. This paper presents a flexible and secure data collection system which offers quick access to all the available information, and can be used efficiently for IT and all levels of enterprise management. Various components of the infrastructure can easily push the relevant information into the system, and the users have layered access to see, edit, filter, and cross-reference the data of interest for their function. Triggers for automatic actions when certain conditions are fulfilled can be configured, for signaling the need for human action. The system was built and tested at Carnegie Mellon University.
A Conceptual Model for a Cloud-Based Digital Signing Service

Today, organizations around the world are using less and less paper documents that have handwritten signatures accompanied by stamps to prove their authenticity and are increasingly turning to digital signatures. Initially, the digital signature could be applied to documents by means of a hardware token, containing the cryptographic material (the private key and the associated digital certificate) together with the software for applying the digital signature. Lately, to further ease the process of applying the digital signature, the remote signature is gaining momentum. This paper outlines the advantages of using digital signature as a cloud-based service, and the path taken to achieve an experimental prototype for the digital signature service in the cloud.
EventMingle Management System

The emergence of event-focused social networks has led to a significant increase in online group memberships and event invitations for millions of people. Unlike traditional social platforms, event networks require physical attendance at gatherings or events as a crucial aspect of user engagement. However, managing event announcements, dates, times, and attendee information can be cumbersome, highlighting the necessity for an efficient event management system that simplifies event discovery and attendance while fostering social interactions among users. Such a system can substantially enhance the event experience for attendees while facilitating streamlined event planning for organizers. EventMingle, a web platform, addresses this need by providing a unique approach to connecting people in diverse locations to enrich their lives. Unlike conventional social networks, EventMingle revolves around arranging offline, in-person meetings rather than merely discussing shared interests online. These gatherings often take place in public venues such as cafes, parks, and occasionally private residences. By offering a platform for users to connect and engage in shared activities, EventMingle creates opportunities to forge new friendships, actively participate in the local community, and pursue passions more actively. Organizers utilize the website to create events, enabling individuals with common interests to connect and share their enthusiasm for specific topics. EventMingle serves as a user-friendly tool for discovering and attending events in one's local area. Given the abundance of events occurring daily, keeping track of everything, particularly for newcomers or those seeking specific types of events can be challenging. EventMingle simplifies this process by facilitating event discovery based on users' interests and providing comprehensive details such as dates, times, and locations. The platform's Meet-In feature allows users to find like-minded individuals, leading to the formation of close-knit communities centered around shared passions. This aspect of EventMingle is especially valuable for combating feelings of isolation and disconnection among users. Furthermore, EventMingle offers a valuable platform for personal growth and development. By connecting users with others who share similar interests. Meetup groups encourage mutual motivation and support, leading to personal growth opportunities. This feature proves particularly beneficial for individuals seeking motivation or fresh opportunities for self-improvement and advancement.
Institutional Herding and Equity Returns: Do Institutions Derive Valuable Information from their Network?

This study investigates the price impact of herding by institutions that differ in network centralities. By examining the topological structure of the institutional network, we classify institutions into more-connected and least-connected/peripheral groups. We find that herding by peripheral institutions improves price discovery, whereas herding by connected institutions pushes the prices away from equilibrium. The price destabilization effect is even stronger for small and growth stocks. The findings contradict the existing social network literature, which typically links strong connectivity to higher levels of informativeness.
Language Integration in Remote Sensing: Tasks, datasets, and future directions

The emerging field of vision–language models, which combines computer vision and natural language processing (NLP), has gained significant interest and exploration. This integration has opened up new research opportunities, particularly in remote sensing (RS), where it has the potential to enhance RS systems’ capabilities. In this context, this article presents a comprehensive review of more than 100 articles focusing on the integration of NLP techniques into RS understanding research. The review covers various vision–language modeling tasks, including but not limited to RS image captioning, RS text-to-image retrieval, RS visual question answering (VQA), and RS image generation. For each task, the review provides a summary of the state-of-the-art developments, including methods, evaluation metrics, datasets, and experimental results on benchmark datasets. The review is concluded by discussing the key challenges and highlighting potential research directions for future development, with the aim of inspiring further research in this important field.
Joint Self-Attention Mechanism and Residual Network for Automated Monitoring of Intelligent Sensor in Consumer Electronics

The popularity of the Internet of Things has led to the rapid development of the consumer electronics industry and the interconnection of digital devices in various scenarios. The effective utilization of sensors can provide accurate data support for the development of IoT. With the construction of intelligent IoT, general sensors have been unable to meet the actual demand of system operation, it is necessary to rely on intelligent sensors to fully promote the intelligent and modern construction of IoT. In particular, intelligent sensors are usually employed in complex environments, which require automated monitoring of operating status to ensure the stability of electronic devices. Meanwhile, intelligent sensors are applied in industrial production, and its status monitoring is of great significance for social safety. For this purpose, we propose an automated monitoring method for intelligent sensors in consumer electronics by a joint self-attention mechanism and residual network. We design residual feature extraction and self-attention mechanism for mining salient representations of sensor faults, respectively, and fuse time-domain contextual information using long-and short-term memory network. The proposed methodology is able to capture and analyze the characteristics of sensor faults more effectively and understand the temporal nature of sensor data more comprehensively, which further improves the accuracy and reliability of operation state monitoring and fault diagnosis. The qualitative and quantitative experiments in two public datasets demonstrate the effectiveness of the proposed method.
Quality analysis of distributed max-plus algebra based morphological wavelet transform

Abstract This proposed technique employs a disseminated data embedding watermarking strategy that is based on a morphological wavelet transform and uses Max-plus algebra to achieve high image quality, big data capacity, and reasonable operational cost. Previously, we had to use a simple MMT watermarking methodology and estimated that using image quality parameters, primarily considering the diagonal component (HH). For embedding watermarks after the decomposition process carried through MMT, the presented distributed data embedding strategy, however, emphasises on middle frequency signal-groups. We have used hypothesized watermarking technique to process five benchmark images during the experiments to examine the scheme’s capability. The PSNR and the SSIM values are elevated by the proposed approach. The combined (high and low) frequency’s PSNR value is preferable towards the high frequency’s. It is also remarked that the middle-frequency SSIM value is higher than the high-frequency value.
Methodology for University Mathematics Teaching Staff: Emotional-Technological-Ontological Logic Evaluation

&lt;p style="text-align:justify"&gt;The aim of the research was to develop a theoretical approach to describe the emotional and techno-ontological logic of mathematics teachers during distance learning during the COVID-19 pandemic and the impact of their emotional state on the learning process. The research approach used in this paper belongs to the qualitative paradigm. The study involved teachers and students from universities in Ecuador, both private and public. The study observed the behavior of teachers and students, analyzed the use of technology in mathematical activities, and analyzed personal opinions about the learning process of the participants of the study. A digital observation guide and open-ended interviews were used to collect data. The qualitative analysis program Atlas. Ti was used to analyze the data. The program created three categories: andragogical heterotopia of mathematics, emotional scar in teacher preparation, and perceptions of the educational process. As the results of the research showed, there was a deficit of digital professional training of teachers in the university teaching of mathematics. As a result of the research work carried out, a theoretical approach is proposed, through which it is possible to avoid the manifestation of techno-ontological logical emotions in mathematics teachers in Ecuadorian universities.&lt;/p&gt;