Reviewerly/exHarmony huggingface dataset:
Reusing Biomedical Data as Agreed – Towards Structured Metadata for Data Use Agreements

With increasing availability of reusable biomedical data - from cohort studies to clinical routine data, data re-users face the problem to manage transferred data according to the heterogeneous data use agreements. While structured metadata is addressed in many contexts including informed consent, contracts are to date still unstructured text documents. In particular within collaborative and active working groups the actual usage agreement's regulations are highly relevant for the daily practice - can I share the data with colleagues from the same university or the same research network, can they be stored on a PHD student's laptop, can I store the data for further approved data usage requests?In this article, we inspect and review seven different data usage agreements. We focus on digital data that is copied and transferred to the requester's environment.We identified 24 metadata items in the four main categories data usage, storage, and sharing, as well as publication of results.While the topics are largely overlap in the data use agreements, the actual regulations of the topics are diverse. Although we do not explicitly investigate trusted research environments, where data is offered within an analytics platform, we consider them a as subgroup, where most of the practical questions from the data scientist's perspective also arise.With a limited set of structured metadata items, data scientists could have information about the data use agreement at hand along with the transferred data in an easily accessible way.
A New Era in Education: Futuristic Vision for the Transformed “School”

At the end of the 20th and the beginning of the 21st century, media technologies reached a level of development capable of liberalizing traditional education. The knowledge gained from conventional education and investment in computer and communication innovations has boomeranged back to reform and made the learning process even more effective. In this report, a typology of forms of education is offered, vividly illustrating the evolution of techniques, methods, means of learning and teaching, and in general – the futuristic (from a modern perspective) idea of the transformation of “school” in its highest sense.
Continuous-variable quantum key distribution based on non-Gaussian operations with on-off detection

Quantum key distribution (QKD) with continuous variable (CV) is an effective method for achieving the high key rate, but is also limited to a short transmission distance. To overcome this limitation, some solutions have been proposed, including non-Gaussian operations, such as photon addition and photon subtraction using ideal photon source and number-resolving detection. Here we consider the effect of non-Gaussian operation for realistic photon source and ideal on-off photon detection. In the realistic case, it is shown that the performance of CVQKD can not be improved by both photon-subtraction/addition on the right side before the entangled source reaches the channel and photon-subtraction on the left side preceding the entangled source to the sender Alice before performing heterodyne detection, but be enhanced by the photon addition on the left side in a long distance case. These results may provide a useful reference for quantum information with continuous variable.
Types of User Interface Copywriting Texts

The study of UI copywriting texts requires their categorization by type, depending on the various functions that they perform in the user interface. A scientific contribution of this study is the attempted typology of UI copywriting texts based on their dominant function. The functions of the texts are defined, following the work of R. Jakobson, while the components of the user interface largely follow those, described by A. Vinogradova. Based on this, a total of 8 different categories of texts are differentiated – texts with a denotative function, texts with an expressive function and texts with an appellative function.
Building Cyber Resilience: Key Factors for Enhancing Organizational Cyber Security

The increasingly pervasive influence of technology on a global scale, coupled with the accelerating pace of organizations operating in cyberspace, has intensified the need for adequate protection against the risks posed by cyber threats. This paper aims to identify cyber resilience management attributes that can enable organizations to sustain and continually adapt in the face of evolving cyber risks and threats. The researcher explores the intersections between cybersecurity and resilience by reviewing existing frameworks, models, studies, and surveys. This study establishes the attributes of resilience with the integration of resilience theory and security theory, along with their position in the cyber domains. By proposing a converged model with fundamental factors for attaining cyber resilience, this study offers a novel contribution to cyber security management.
Preserving Data Distribution in Sampling and Instance Selection with Renyi's Divergence

Abstract This paper presents a novel method for sampling based on a distribution function. By leveraging Renyi's divergence criterion, a recursive formulation is directly derived from the disparity between the original and estimated distributions. The Gradient descent algorithm is employed to achieve this recursive equation, and then new samples are derived. Since this method uses the distribution of the original data, it has the ability to preserve the data distribution in the sampled dataset. In instances where the original distribution is unknown, Kernel Density Estimation is employed for estimation. Experimental results demonstrate that the proposed method effectively preserves the data distribution and prevents any alteration in the data concept while maintaining the predictability of the model over selected instances. More precisely, this method has successfully reduced the dataset size by approximately $70\%$, while the accuracy of the learning algorithm has remained unaffected.
Residents Autonomy Implication of Chosunkyunggukjeon Convergence Humanism Thoughts

The Study investigates research questions, the purpose of study and methodology about residents autonomy &amp; Sambong’s convergence humanism thoughts. The second explains methods of study, theoretical background, residents autonomy implication of Chosunkyunggukjeon convergence humanism thoughts in Chosun dynasty. The third presents analysis variables about Chosunkyunggukjeon convergence humanism thoughts. The forth suggests research effect &amp; limitations for fostering Chosunkyunggukjeon convergence humanism thoughts in the Chosun dynasty. Lastly, the article proposed the meaning of research limitations &amp; further studies &amp; concluded. There were some suggestion &amp; expectation effect of residents autonomy implication of Chosunkyunggukjeon convergence humanism thoughts in Chosun dynasty.
Analyze Research Trends in Turnover in the Foodservice Industry: Focusing on Research from 1998 to 2023

In this study, text network analysis, one of the content analysis methods, was used to comprehensively and holistically analyze the cumulative performance of turnover-related studies in the food service industry. For this purpose, 346 articles registered in the academic research information service from 1998, when the first article on turnover in the food service industry was published, to April 2023 were analyzed, divided into the pre-turnover period (1998~2009) and the post-turnover period (2010~2023). Key word frequency analysis, centrality analysis, co-occurrence frequency analysis, and CONCOR analysis were conducted, and the results of this study are as follows. First, the number of turnover studies in the foodservice industry has increased dramatically since 2010. Second, in the later period of turnover research, the topics and subjects of turnover research have become more diverse compared to the earlier period of turnover research. Third, it can be seen that the concepts of turnover intention, job satisfaction, organizational commitment, and job stress are the most important and influential words in turnover research in the foodservice industry.
Open4DE Spotlight on the Open Access Ecosystem in Switzerland

&lt;em&gt;Authors: Malte Dreyer, Martina Benz, Maike Neufend and Theresa Bärwolff&lt;/em&gt; Open Access is developing in an area of tension between institutional and funder policies, the economics of publishing and last but not least the communication practices of research disciplines. In a comparison across European countries, very dynamic and diverse approaches and developments can be observed.
A Compact and Extensible Portable Scheme VM

Virtual Machines (VM) tend to evolve over their life cycle with features being added regularly and a growing footprint. In a VM designed for resource constrained environments this trend deteriorates the VM’s primary quality. We present how extensibility is implemented in the Ribbit Scheme VM that is both compact and portable to multiple languages. Our approach adds annotations to the VM’s source code allowing the compiler to generate the source code of a specialized VM extended with user-defined primitives and with needless ones removed. This gives the best of both worlds: an extensible VM packed with all and only the features needed by the source code, while maintaining a small code footprint.
Trust Assessment on Data Stream Imputation in IoT Environments

In the era of internet of Things, stream data emitted by sensors may rise quality issues such as incompleteness caused mainly by sensors failure or transmission problems. It is therefore necessary to recover missing data because missing values can impact decision making. Within this landscape, trust on data imputation is a key issue for helping stakeholders involved in such process. In this paper, we address the problem related to the trustworthiness on imputed data streams in IoT environments. We propose here a method called CSIV (Confidence Score for Imputed Values) to assess trust by assigning a confidence score to imputed data. CSIV considers both trust score of non-missing values and neighboring sensors. We have evaluated CSIV on real datasets using accuracy and trustworthiness as evaluation metrics. Experiments show that CSIV is able to assign correctly a trust score to the imputed values.
Open4DE Spotlight on Finland – An advanced culture of openness shaped by the research community

&lt;em&gt;Authors: Malte Dreyer, Martina Benz and Maike Neufend&lt;/em&gt; Open Access (OA) is developing in an area of tension between institutional and funder policies, the economics of publishing and last but not least the communication practices of research disciplines. In a comparison across European countries, very dynamic and diverse approaches and developments can be observed.
Looking back at the Open Science Conference 2022

Authors: Maaike Duine (ORCiD) and Franziska Harnisch (ORCiD) In March 2022, the 9th international Open Science conference of the Leibniz Research Alliance took place. Just like last year, the conference was online and preceded by the Open Science Barcamp. The conference and Barcamp topics revolved around multiple aspects of Open Science, from community building and public engagement, to FAIR research software and data mining.
Open4DE Spotlight on Sweden: How a Bottom-up Open Access Strategy Works without a National Policy

&lt;em&gt;Authors: Malte Dreyer, Martina Benz and Maike Neufend&lt;/em&gt; Open Access (OA) is developing in an area of tension between institutional and funder policies, the economics of publishing and last but not least the communication practices of research disciplines. In a comparison across European countries, very dynamic and diverse approaches and developments can be observed.
Heterogeneous Graph Convolutional Network for E-commerce Product Recommendation with Adaptive Denoising Training

As shopping styles become more diversified, online shopping has gradually become the mainstream method of shopping. The internet has emerged as a popular platform for consumers to share their ideas, opinions, and experiences related to products and services. To enhance the shopping experience, e-commerce platforms recommend products that may interest consumers. However, the recommendation system currently faces three challenges. (1) Consumers of the recommended products are not interested. (2) The recommendation algorithm is not robust to noisy data. (3) With the increasing complexity of data types, some information has not been fully utilized. To overcome these challenges, we propose a novel recommendation model, named Heterogeneous Graph Convolutional Network Recommendation with Adaptive Denoising Training (HGCRD). We introduce a meta-path-based random walk strategy to generate meaningful node sequences for network embedding. We then use graph convolutional networks (GCNs) to learn the node embeddings for the obtained node networks. To mitigate noise in the dataset, we incorporate an adaptive denoising training (ADT) strategy during training. We conducted extensive experiments on three public datasets, and our model outperformed the competitive baseline by a significant margin.
Wegen naar abstrahering bij voorzetselvoorwerpen

Constructions in which the verb combines with a fixed preposition in many cases have a verb taking a prepositional object (PO). It is often said that the preposition with a PO is very close to meaningless, and therefore arbitrary, but there are reasons to doubt this assertion. This paper aims at exploring the paths followed by prepositional and constructional meaning towards abstraction. For a relevant sample of PO-prepositions, it turns out to be possible to reconstruct the path that connects it to its literal sense, even synchronically. Important gateways to abstraction turn out to be the use of analogy and the shift from literal to figurative meaning.
EFFECTIVE PARTNERSHIP WITH BUSINESS AS A MEANS OF IMPROVING THE QUALITY OF EDUCATION IN THE FIELD OF INFORMATION TECHNOLOGIES

The quality of education in the field of information technology depends on the use of modern tools of cooperation between universities and leading companies. Micro-credentials, which are rapidly spreading throughout the world, are among the new innovative tools. On the example of the SoftServe company, the experience of using dual study, non-formal study, professional training of teachers is analyzed. Problems are identified and models of SoftServe cooperation with universities are described, which increase the employability of graduates.
Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot Evolution Better

Abstract Evolutionary robot systems offer two principal advantages: an advanced way of developing robots through evolutionary optimization and a special research platform to conduct what-if experiments regarding questions about evolution. Our study sits at the intersection of these. We investigate the question ''What if the 18th-century biologist Lamarck was not completely wrong and individual traits learned during a lifetime could be passed on to offspring through inheritance?'' We research this issue through simulations with an evolutionary robot framework where morphologies (bodies) and controllers (brains) of robots are evolvable and robots also can improve their controllers through learning during their lifetime. Within this framework, we compare a Lamarckian system, where learned bits of the brain are inheritable, with a Darwinian system, where they are not. Analyzing simulations based on these systems, we obtain new insights about Lamarckian evolution dynamics and the interaction between evolution and learning. Specifically, we show that Lamarckism amplifies the emergence of 'morphological intelligence', the ability of a given robot body to acquire a good brain by learning, and identify the source of this success: 'newborn' robots have a higher fitness because their inherited brains match their bodies better than those in a Darwinian system.
Analisis Unsur Intrinsik Puisi Karya Peserta Didik Kelas IV A SD Supriyadi Semarang

This research was motivated by the researcher's curiosity about the ability to write free poetry by students in class IV A at SD Supriyadi Semarang. The thing identified as one of the problems in the focus of this research is students' ability to write poetry based on intrinsic elements of poetry that have not been implemented. The aim of the research is to describe the intrinsic elements of poetry by class IV A students at SD Supriyadi Semarang. which focuses on five intrinsic elements only, namely theme, diction, rhyme, feeling and message. The subjects in this research were 28 students in class IV A of SD Supriyadi Semarang with research objects in the form of 6 poetry texts which were created in groups consisting of 6 groups according to creative ideas, experiences, stories, the surrounding environment and the conditions of the participants. educate yourself. This research was prepared and carried out using descriptive methods through a qualitative approach. The data collection techniques used were documentation and tests. Based on the data collection and discussion of the analysis results, it was found that 100% of the poems written by the students were correct, namely 3 poems and the other 3 poems were mostly 93% correct.
Examination of the Tax Treatment of Cryptocurrency Transactions in Nigeria

Tax is assessed and paid in the legal tender in which the transaction was conducted. A legal tender is a fiat currency centrally issued by the government through its Central Bank and is legally declared and designated as money to meet all kinds financial obligations including payment of taxes and debts within the boundary of a particular country. However, advancements in technology led to the emergence of virtual medium of payment such as ‘cryptocurrency’ which do not enjoy legal tender status like fiat currency. Over the past decade, there has been an increased number of transactions in Nigeria where cryptocurrency was the means of payment. This raises the question as to how such transactions will be assessed to tax bearing in mind that tax can only be assessed and paid in the currency in which the transaction was conducted. In addition, the virtual nature of cryptocurrency creates opportunities for tax avoidance thereby constituting a serious tax challenge for a developing country such as Nigeria. It therefore becomes necessary to address the taxation of cryptocurrency transactions to prevent tax avoidance that can arise therefrom. This objective of this article is toexamine the nature and the legal status of cryptocurrency. The article will also examine the tax treatment of cryptocurrency in some selected tax jurisdictions as well as the tax challenges posed by cryptocurrency transactions.
Proof by Electronically Generated Evidence under the Evidence Act (2011)

The underlying principle upon which the concept of weight of evidence is based is that the court is urged to confer probative value or otherwise on a document that is being tendered and received in evidence.An invitation to ascribe probative value to a document which is evidence before the court works on the assumption that the document has been admitted in evidence as an exhibit. This assumption or presumption is rebuttable as the admissibility of a document could still be a relevant factor in the course of final addresses, judgment or even on appeal.Two key factors are critical in respect of electronic evidence in judicial trials or proceedings. These are admissibility and weight of documents. However, while the Evidence Act (2011) creates a general framework regarding the weight to be attached to such electronic evidence, it does not set out any basis for the opposing party to be able to show that the produced electronic evidence falls short of any of the above factors for probability. The challenges a party seeking to show that the produced electronic evidence is not probable are enormous. Implicit in the factor for admissibility is the confidentiality of the electronic evidence. Using doctrinal approach through content analysis of Nigerian statutes, case law, and relevant literature, the paper examines the principles relating to the ascription of probative value or weight of electronic evidence as a means of proof of a particular fact in judicial proceedings. The paper finds that generally, it is difficult to detect where the product of an electronic device has been tampered with; and since the provisions of the Evidence Act, 2011 is not clear on the authentication of electronic documents, the chance that the courts are more likely to be misled by evidence produced through an electronic device is higher than a hard copy of the evidence. Accordingly, the paper recommends that the Act be amended to include detailed rules for presenting electronically generated evidence.
Visual Pre-trained Research Project

Visual pre-training using extensive real-world data has made significant strides recently, showcasing its potential in robotic learning through pixel observations. However, a definitive approach to visual pre-training for robot manipulation tasks is still under exploration. This paper delves into the impact of various visual pre-training strategies on robot manipulation tasks, focusing on three primary aspects: pre-training datasets, model structures, and training methodologies. We present several notable experimental outcomes that contribute to the advance- ment of robotic learning. Furthermore, we introduce a visual pre- training approach for robot manipulation, named Vi-PRoM, that merges self-supervised and supervised learning. Specifically, self- supervised learning uses contrastive learning to decipher patterns from large volumes of unlabeled data, while supervised learning targets the understanding of visual semantics and temporal dynamics. Comprehensive experiments in multiple simulated environments and real robots underscore the effectiveness of our proposed method.
The Transformative Power of Technology and Software: A Comprehensive Overview

Technology and software are two related but distinct concepts that involve the use of tools and techniques to solve problems, improve efficiency, or create new products and services. In this article, we will explore the definitions, types, and examples of technology and software, as well as the process and methods of software development. Technology and software have become integral components of modern life, shaping industries, economies, and society as a whole. This article provides an extensive exploration of the evolution of technology and software, their impact on various sectors, and emerging trends that promise to shape the future.What is Technology?In the digital age, technology and software are the driving forces behind innovation, efficiency, and connectivity. From smartphones and social media platforms to artificial intelligence and cloud computing, these elements have reshaped the world we live in. This article delves into the multifaceted world of technology and software, highlighting their evolution, significance, and potential for future advancements.Technology is a broad term that encompasses any type of tool or device that is produced by humans to achieve a specific goal or purpose. Technology can be mechanical, electronic, digital, biological, or any other form of physical or non-physical manipulation of matter, energy, information, or communication. Technology can be applied to various domains and fields, such as agriculture, medicine, education, entertainment, etc.