Reviewerly/exHarmony huggingface dataset:
New LDP Approach Using VAE

Local Differential Privacy allows individuals to share their personal data without compromising their privacy. In traditional data collection and analysis methods, sensitive information such as names, addresses, and other identifying details may be included, making it easy to link the data to a specific individual. On the other hand, Local Differential Privacy enables data to be collected and analyzed in a way that safeguards individual privacy. This makes it possible for people to participate in data collection and analysis without the fear of being identified. While Local Differential Privacy approaches have been proposed for releasing privacy-preserving databases with statistical approximations, they have limitations when dealing with k-dimensional distribution estimations. To address this issue, we propose a solution that guarantees Local Differential Privacy based on the latent space of a Variational AutoEncoder (VAE), which is used to recover the original distribution. We tested our proposal on four real and open datasets with different characteristics, including the number of users, the number of attributes, and their cardinality. The proposed solution outperforms the well-known approach, LoPub. Our work can reduce the average variant distance by the LoPub algorithm from 0.6 to 0.1. These results suggest that the VAE can serve as a useful tool for privacy-preserving data. The source code used in this paper can be downloaded from the following link https://github.com/phdmatamoros/New-LDP-approach-using-VAE .
OpenCitations in Five Hundred Words

Yesterday I gave a lightning talk at the 2021 OASPA Conference, with the title &lt;em&gt;OpenCitations – what does the future hold? &lt;/em&gt;The poster accompanying my talk, published on Zenodo at https://doi.org/10.5281/zenodo.5526713, is reproduced below. &lt;em&gt;Poster for 2021 OASPA Conference Lightning Talk&lt;/em&gt; Here is what I said: = = = Most of the talks at this conference have focussed on open access to textual content.
A new entropy-based heuristic for automatic enrichment of ontologies

In this paper, we propose a new method for automatic ontology enrichment. The content of the considered ontology in this work is a set of computer science skills, used to score and rank profiles according to their curriculum vitae (CV). Starting from an initial ontology, defined manually by experts, named entities are extracted from CVs, then, by using the TF-IDF method we determine which words are more likely representative of skills of a given area of expertise. Obtained words are then inserted in the corresponding area of expertise branch of the ontology. The enrichment is controlled by a heuristic based on an entropy-like quantity that measures the profiles ranking disorder, caused by the new word insertion, assuming that such disorder is correlated with the amount of noise in the ontology. The obtained experimental results confirmed that the entropy-like quantity can be used to control the automatic enrichment of the ontology.
A Case of Reverse Instructional Design Based on Ubd Theory: Take "Set" as an Example

The study of set mainly includes definition, characteristic, relation, classification, common number set and representation, is the basis of modern mathematics, is also the basis of high school mathematics learning.After the proposal of core literacy, in order to make students' core literacy in the classroom landing root, the innovation of teaching methods has become an indispensable part of high school teaching.The teaching method based on UbD theory is the innovation and orderly reconstruction of the traditional teaching method.It emphasizes students' understanding of knowledge, and can be fully implemented in the classroom, so that the cultivation of core literacy can really take root.This study takes the collection as an example and makes a case analysis of teaching design based on the UbD theory, aiming at providing a new way of thinking for middle school teachers' teaching.
Improvement of English Writing Skills through Online Interactive Platforms and Virtual Reality Technology

Writing is an important ability in English learning.Although current technological means can help people better master English, many English learners still face the problem of difficulty in writing.This article analyzed how to improve English writing skills through online interactive platforms and virtual reality technology, helping English learners achieve better results in writing.Through online interactive platforms, students' learning situation can be tracked and recorded, and the quality of course objectives and learning plans can be formulated based on their situation.Virtual reality technology can provide students with virtual writing competitions to gain a sense of honor, and students can receive more practical writing training and guidance.In order to demonstrate the effectiveness of online interactive platforms and virtual reality technology in language writing, this article selected 80 English major students from a certain university for experimental analysis and divided them into two groups.Group A is a traditional classroom writing learning method, and Group B is a writing learning method based on online interactive platforms and virtual reality technology.Before the experiment, 4 and 3 students from Group A and Group B scored above 80 in English writing, respectively.After the experiment, 6 and 13 students from Group A and Group B scored above 80 in English writing, respectively.It can be seen that the English writing scores of Group B students have greatly improved, while the English writing scores of Group A students have not changed much.
Free and Sulfurized Biomarker Geochemistry of the Pre-salt Oils from the Santos Basin of Brazil121

Preview this conference paper: Free and Sulfurized Biomarker Geochemistry of the Pre-salt Oils from the Santos Basin of Brazil121, Page 1 of 1 < Previous page | Next page > /docserver/preview/fulltext/2214-4609/2023/imog-2023/121-1.gif
Organic Geochemistry and Green Chemistry: a Good Synergy

Preview this conference paper: Organic Geochemistry and Green Chemistry: a Good Synergy, Page 1 of 1 < Previous page | Next page > /docserver/preview/fulltext/2214-4609/2023/imog-2023/185-1.gif
A Study on the Strategy of National Quality Education in Primary and Secondary Schools Integrating Intangible Cultural Heritage Inheritance Education

ICH (Intangible Cultural Heritage) is an important part of the existing spiritual achievements of mankind.The core connotation of ICH is a kind of spiritual practice, accumulation of experience, improvement of skills and artistic display.The inheritance of ICH education plays a catalytic role in shaping people's correct outlook on life, world outlook and values.The primary and secondary school stage is a critical period for life to form aesthetics, outlook on life and values.Primary and secondary education is not only to impart professional knowledge to students, but also to cultivate the noble moral quality of primary and secondary school students.Correctly guiding the artistic aesthetics and value ideals of primary and secondary school students is an important symbol related to the progress of social civilization.From the relationship between ICH and quality education, this paper analyzes the importance of ICH inheritance education to quality education in primary and secondary schools in China, and provides suggestions for quality education in primary and secondary schools in China from the aspects of concept and curriculum arrangement.
Breast cancer prediction using supervised machine learning techniques

Breast cancer is one of the most prevalent diseases in India’s urban regions and the second most common in the country’s rural parts. In India, a woman is diagnosed with breast cancer growth every four minutes, and a woman dies from breast cancer sickness every thirteen minutes. Over half of breast cancer patients in India are diagnosed with stage 3 or 4 illness, which has extremely low survival rates; hence, an urgent need exists for a rapid detection strategy. To forecast if a patient is at risk for breast cancer, we utilise the classification techniques of machine learning, in which the machine learning model learns from the previous information and can anticipate on the new information that is generated by the data. To create a model using Logistic Regression, Support Vector Machines, and Random Forests, this dataset was collected from the UCI repository and studied in this study. The primary goal is to improve the accuracy, precision, and sensitivity of all the algorithms that are used to categorise data in terms of the competency and viability of each and every algorithm. Random Forest has been shown to be the most accurate in classifying breast cancer, with a precision of 98.60 percent in tests. The Scientific Python Development Environment is used to carry out this machine learning study, which is written in the python programming language.
Theoretical Exploration on the Construction of Specialized English Curriculum System in Applied Undergraduate Universities

Applied undergraduate universities are an important component of China's higher education and an important platform for cultivating applied talents.With the continuous development of the times, the construction of specialized English courses has become a new teaching method in the current teaching work of applied undergraduate universities, providing reliable guarantees for the improvement of the overall teaching level.This paper adopts research methods of literature review and logical deduction to propose that applied undergraduate universities should strengthen demand analysis, adjust teaching models and content appropriately, fully utilize their own unique resources, quickly fill in shortcomings, effectively improve teaching quality, and build a specialized English course system with the characteristics of applied undergraduate universities.
Large Geochemical Dataset Processing Applied to Central North Sea (UK) Regional Source Rock Assessment and 1D Modeling

Preview this conference paper: Large Geochemical Dataset Processing Applied to Central North Sea (UK) Regional Source Rock Assessment and 1D Modeling, Page 1 of 1 < Previous page | Next page > /docserver/preview/fulltext/2214-4609/2023/imog-2023/253-1.gif
Intelligent Campus Security Warning and Decision Making Based on Feature-Aware Recognition Technology

By proposing a feature-Aware recognition method based on CBRW algorithm and IOT wireless sensing technology,this paper designs a kind of Wireless sensing recognition principle and campus intelligent security system architecture and applicate it in the campus video surveillance system, electronic fence system,traffic management system and information visualization system,which in turn provides intelligent assistance for rapid and accurate decision-making.
Exploring the Integration of Ideological and Political Education into University Mental Health Education Courses Using Virtual Reality Technology

With the development of modern society, the mental health issues of chinese university students have received increasing attention.Mental health education courses have become an important part of ideological and political education in universities.However, there are limitations in the current approach.To address this issue, virtual reality (VR) technology can be employed to enhance university students' mental health education by integrating ideological and political education content.This integration aims to develop students' patriotism, national pride, and cultural confidence, while also strengthening their sense of responsibility, mission, and social responsibility.By incorporating VR technology into university mental health education, students can not only gain a better understanding of ideological and political theories but also improve their mental well-being.This innovative approach aligns with the vision of cultivating talents who are well-prepared for the challenges of the new era.
Exploration of Mathematical Thinking Methods in Machine Learning Algorithms

Artificial intelligence and statistics development have given rise to machine learning about data analysis.This emerging discipline is a key direction for researchers in the field of data analysis to explore.Moreover, machine learning refers to the acquisition of new experiences and knowledge by computers through inherent regular information, thus enhancing the intelligence of computers for the purpose of making decisions like humans.With the advancement of computer science, the exploration and application of machine learning has made great achievements.Additionally, studying the mathematical theory of machine learning plays an important role in the advancement of computers.Therefore, in this context, this paper explores the mathematical thinking related to machine learning, starting from several popular machine learning techniques.
An Introduction of Image Lossless Compression Approches

The purpose of image compression is to reduce the number of bits required to represent data by removing data redundancy.Due to the large amount of image data, it is very difficult to store, transmit, and process, so the compression of image data becomes very important.This article introduced several lossless compression approaches such as Huffman, Fano, Run Length, Arithmetic, and LZW (Lempel-Ziv-Welch) Coding.The approach which can achieve compact code is regarded as closing to the best solution.
A Study on Burnout and Job Satisfaction of Rural Primary School Teachers in China

Rural primary school teachers, as the practitioners of rural education, are a key part of rural education development and rural revitalization.The current situation of rural primary school education is the relative lack of educational resources, the long-term absence of family education, the need to improve comprehensive literacy, the lack of social support, and the need for an incentive mechanism.In order to solve this problem, we should build a training platform, enhance home-school collaboration, improve psychological quality, provide sufficient social support and improve incentive mechanisms to stimulate the vitality of rural primary school teachers.
Teaching Status and Improvement of Basic Mechanics Course in University

The basic mechanics course in higher education is a basic course that must be taken by engineering students such as water conservancy and hydropower engineering majors.The mechanics courses of engineering majors in colleges and universities generally have problems such as few class hours and single assessment method, students have shallow knowledge, insufficient awareness of the importance of mechanics knowledge and low interest, which leads to poor practical application ability.This paper takes the three basic mechanics courses of engineering majors as examples, and makes a preliminary discussion on the future reform of mechanics courses from the aspects of teaching problems, students' characteristics and teaching reform methods, in order to provide reference for the teaching reform of similar courses in the new historical period.
Exploration on the Implementation Path of "Craftsmanship" Cultivation of College Students’ Labor Education

Vocational education is an essential part of talent cultivation in universities, and cultivating the spirit of craftsmanship is an intrinsic requirement for universities to achieve high-quality development, which is also an inevitable choice for realizing the Chinese Dream.In view of the problems existing in the cultivation of the "craftsmanship spirit" in the labor education of university students, this article proposes that universities should strengthen top-level design, actively explore the connotation of the "craftsmanship spirit" in the new era, and explore the ways to realize the "craftsmanship spirit" in labor education for college students.By integrating various resources, more high-quality workers and skilled talents can be cultivated, providing strong talent support for the nation's high-quality development.Therefore, based on the analysis of the role and significance of the "craftsmanship spirit" in labor education of university students, this article proposes the cultivation path of the "craftsmanship spirit" and puts forward the implementation path for cultivating the spirit of labor among university students.
Key Technologies for Constructing Bilingual Corpus for English-Chinese Translation

Bilingual corpus provides translators with vivid language resources and translation examples.Bilingual corpus can extract the original text and the corresponding translation at the same time, take translation based on parallel corpus as a method to cross the language boundary between source language and target language, and use bilingual dictionary as the main knowledge source to realize query translation processing.Based on the relevant research results of corpus linguistics, this paper studies the key technologies of constructing bilingual corpus for English and Chinese translation.Among them, corpus collection, based on the basic principle of web crawler technology, designs the corpus collection process, which provides the basis for system programming.Corpus alignment finds the corresponding source text and target text in bilingual or multilingual texts, and recommend using ABBYY Aligner tool.Corpus annotation studies the classification and basic principles of annotation and solves the core problems of annotation.
Cultivation of College Teachers' Micro-course Design, Shooting and Editing Skills

The theme of this paper is that for college teachers, micro classes will reform the traditional teaching methods, break through the traditional teaching and research models, and make teachers' lesson preparation, teaching and reflection more targeted and effective.The specific objectives of the research are the current situation of college teachers' use and cognition of micro lessons, the skills of college teachers' micro lesson design, shooting and editing, and the learning and training of college teachers' micro lesson skills.This study uses a quantitative research method, and the respondents need to answer 23 questions in the "online questionnaire".All the interviewees in this questionnaire are asked the same questions, and the interviewees are compared and analyzed under the same situation, which can investigate the different consciousness and state of micro lesson production with college teachers.Its research significance lies in rapidly enhancing teachers' classroom teaching level and promoting the growth of teachers' teaching ability.Based on the results of the questionnaire survey on college teachers' cognition of micro lesson making and their skills, it is expounded that as a new teaching form and method, the mastery of micro lesson design, shooting and editing skills should become the primary issue to be considered.
Creating a Security Assurance System Using IoT and ML Technologies

The work is dedicated to the development of security systems using the Internet of Things and Machine Learning technologies. The need for such systems use is associated with the increase in crimes, as well as with the increase in number of attacks on special areas. The authors of the article have created a security system that is located in a guarded area. The security system reacts in real-time and informs about the expected danger through a picture or video. The security device senses the movement of any object in the area through sensors, and the camera connected to the device captures the moving object. A Siamese neural network examines the image.&nbsp; If it is from the class of unwanted objects, the app sends it to the Telegram app of the guard of the monitored area. The authors used Raspberry Pi, various sensor components, and a Siamese neural network to create the security system. The system can be implemented in bank vaults, offices, and special-purpose buildings. We, being the professors of the university, attach more importance to the use of the created system on the premises of the educational institution.
Understanding Distributed Ledger Technology from a Legal Perspective

Distributed Ledger Technologies (DLTs) have been widely endorsed in various areas and by numerous entities. With the promises of decentralisation, taking out the middlepersons and cost-efficiency, DLT-implementations seem desirable in various fields, from finance and copyright to health. However, all pros come with cons. DLTs’ architecture may by nature run counter to some data protection principles; this could limit or even halt innovation. Moreover, there is a tendency for (re)centralisation contesting the very nature of DLTs and risking having centralised systems serving the economic interests of the few big players, instead of the fundamental rights and freedoms of the many. Last, contemporary forms of DLTs, allowing for smart contracting, appear to challenge traditional contract laws. This contribution aims to address the above challenges. It argues that data protection laws, dynamically interpreted, could raise security thresholds and promote the development of user-friendly and decentralised DLTs, thus avoiding (re)centralisation; and that, while smart contracting appears suitable in various situations, it can be avoided where traditional legal contracts can better satisfy the individual needs and desires of the parties. Finally, the concluding section recommends that regulators wait for scientific advances in the field and carefully balance the fundamental rights and freedoms at stake before introducing DLTs in the public sphere. Keywords: Distributed Ledger Technologies | Decentralisation | Pseudonymisation | Smart Contracts
Areas of Tension in the Application of AI and Data Protection Law

The contribution considers specific challenges that arise from a parallel applicability of AI and Data Protection Law regarding the European Commission’s Proposal for a Regulation laying down harmonised rules on Artificial Intelligence (AI Act) and the EU General Data Protection Regulation (GDPR). The legal analysis is based on a consideration of overlapping regulatory objectives and subject matters, with at the same time fundamentally different regulatory concepts and conflicting regulatory goals in concrete terms. Taking an example of the providers’ obligations to assure accuracy of the system and to make sure that training, validation and testing data sets are relevant, representative, free of errors and complete on the one hand and the limitations on processing personal data due to the data minimisation principle on the other, this article highlights that legal provisions from the AI Act and the GDPR must be interpreted and applied in accordance with their respective regulatory goals, but with consideration for each other. From that it is deduced that a coherent, and thus efficient, application of both legal acts depends on a substantive balance in areas of tension between AI regulation and data protection law. The author argues that the balancing is an essential matter and that the mere coexistence of AI and Data Protection Law as provided for in the Commission’s proposal does not suffice. Keywords: Product Safety Law | Data Minimisation | Accuracy | Data Governance | Harmonised Standards
Coverage of open citation data approaches parity with Web of Science and Scopus

Guest blog post by Alberto Martín-Martín, Facultad de Comunicación y Documentación, Universidad de Granada, Spain &lt;em&gt;In this post, as a contribution to Open Access Week, Alberto Martín-Martín shares his comparative analysis of COCI and other sources of open citation data with those from subscription services, and comments on their relative coverage.&lt;/em&gt; Comprehensive bibliographic metadata is essential for the development of effective understanding and analysis across all phases of the research workflow.