Reviewerly/exHarmony huggingface dataset:
IPCC Sixth Assessment approaches towards FAIR data and an enhanced data reuse

The Intergovernmental Panel on Climate Change (IPCC) currently prepares its Sixth Assessment Report (AR6). Its authors assess peer-reviewed scientific literature and recent climate datasets to inform policy-makers about the current state of the science regarding climate change and its impacts, as well as adaptation and mitigation options. For AR6, efforts are underway to make its main results FAIR and preserve them in the TRUSTworthy repositories of the IPCC Data Distribution Centre (DDC), jointly managed by CEDA, DKRZ, and CIESIN. The AR6 FAIR initiative was kickstarted by the IPCC DDC and Working Group I (WGI) [Stockhause et al., 2019], then adopted by IPCC TG-Data (Task Group on Data Support for Climate Change Assessments) shortly after its creation. All three WGs have adopted the FAIR data guidelines. IPCC assessments are large and diverse in in terms of scientists involved as well as included scientific objects. Challenges for digital data curation are related to the scale and diversity of papers, reports, datasets, the variety of software, and the different familiarity of the scientists with these technical aspects. The following priority areas for improved data stewardship were selected based on the aims to enhance the traceability of AR6 key findings and their reusability: preserve figure datasets in the DDC; - preserve analysis software; . preserve main input datasets in the DDC; . assemble datasets and provenance information on the figure creation from IPCC authors; and . interlink datasets to the IPCC report. Datasets are transferred to the DDC at the end of AR6. The DDC partners are responsible to preserve the data for future reuse by different stakeholders and under a variety of current and future scientific and policy-related questions. As the role for the DDC expands within the IPCC, new partners are sought. The TRUST principles provide a framework for the communication of DDC tasks to different stakeholders, e.g. to countries interested to host a DDC. The presentation will give an overview over the IPCC AR6 approaches towards FAIR data maintained in TRUSTworthy repositories, their challenges, their approach to meet these challenges and open questions, e.g. the integration of digital data into the IPCC Error Protocol, targeted within TG-Data.
Quantum circuit for toric code state preparation via graph states

Given the wide applicability of topological states for fault-tolerant quantum computation, an important outstanding question is how to generate these states within the quantum circuit model, and if it is possible to do so efficiently. In this work, toric code states on the torus are mapped to an equivalent graph state under local Clifford operations. The graph is composed of only two subgraphs, both of which can be generated in log depth, assuming geometrically non-local gates. Including ancillae and measurements, the circuit depth can be reduced to a constant at the cost of increasing the circuit width. Among many insights, the toric code graph structure reveals a close connection between repetition and topological codes. Due to their local equivalence to the toric code, all two-dimensional translationally invariant topological stabilizer codes are therefore efficiently preparable on a quantum circuit. The results provide a new graph-theoretic framework for the development of novel topological error correction codes, beyond geometrical considerations.
Improvement of GrabCut form Kumamoto Castle Ishigaki region extraction method

In this paper, we improve the extraction method by GrabCut in order to perform highly accurate stone contour extraction from stone wall images. In previous studies, there was a problem that over-segmentation and under-segmentation occurred because the area considered to be the background characteristics could not be specified properly. As a countermeasure to this problem, in order to make the method of specifying the restrict range for the background characteristics more suitable for stone materials, we aimed to improved the extraction accuracy by using the convex hull of the area obtained by ordinal GrabCut. Good results were obtained by limiting the characteristics due to the contraction of the convex hull, but some stones had insufficient segmentation, the cause was investigated, and future measures were described.
Delve into the Ambience of Anonymity: Deep Web

The determination of this research is to analyze the darknet Web sites. This analysis is done on the basis of the number of users accessing it, active servers hosting darknet Web sites anonymously and traffic on the network. A survey was conducted in the community on dark web and Mariana’s web; after that, Tor services are used to collect the data and interpret it. Skillful comparison graphs are plotted between years, and other parameters (like users, servers, traffic, performance) have been used, and variations are also indicated that the number of users is increased, and it is seen that most of the relays are run by Linux. A Google form was also disseminated through social media to different sections of our society. Responses are interpreted and collected due to which it is seen that a good proportion of society is aware of dark web but not Mariana’s web. This survey spreads awareness about the dark web and its services.
Making Sense of Lexical Acquisition

What is so difficult about building a lexicon? Although the power of a lexicon comes from its information content, the size of a lexicon in terms of number of words alone is not that important. Hand-held devices have advertised vocabularies of 100,000 words or more. What they are missing is any notion of what the words mean or how to use them. Word senses and word meanings are at the core of the lexical acquisition problem. Most natural language applications require some sort of word sense discrimination using knowledge about word meanings, knowledge not found in existing lexicons and dictionaries. This chapter covers several text processing applications, the knowledge sources that can help in word sense discrimination for these applications, and some traps to avoid in acquiring word sense information.
Digital Preschool: Main Approaches, Problems and Prospects of Development

the current trend of the education system in the world is personalization and digitalization, which requires a person to constantly develop, follow innovations, and improve their competencies. The article discusses the features of digitalization of education in the Russian Federation, including preschool education. The definition of the digitalization process, structural components and requirements for educational organizations are presented. The concept of “digital kindergarten” is considered, the ecosystem of digital kindergarten is characterized, approaches to this concept in preschool educational organizations are shown.
Electronic Resources Collection Development in University Libraries in the Digital Period: A Theoretical Study

University libraries are viewed as the sole focus of instructing, learning and exploration exercises, which primary destinations are to fulfil the data wants of its objective clients, and this can be conceivable just through the excellent assortment. In an advanced climate, an assortment improvement rule is going through representative unrest because of a variety of computerised assets, which are exclusively offered through the web. The current original copy challenge to complement on assortment advancement rules, web-based assortment and question in assortment working in computerised time. It illuminates drifts just as necessities of assortment improvement in an advanced environment.
Risk Prediction with Regression in Global Software Development using Machine Learning Approach: A Comparison of Linear and Decision Tree Regression

Software development through teams at different geographical locations is a trend of modern era, which is not only producing good results without costing lot of money, but also productive in relation to its cost with low risk and high return.This shift of perception of working in a group rather than alone is getting stronger day by day and has become an important planning tool and part of their business strategy.Due to this phenomenal shift the development processes have become complex and chances of risks have been increased.The utilization of Machine learning to manage risk is helpful when taking care of and evaluating data.In this research regression approaches like Linear Regression and Tree Regression have been implemented to predict the responses of risks involved in global software development.Comparative analysis has also been performed between these two algorithms to determine the highest accuracy algorithms.The results indicate that Fine tree regression, which is one of techniques of decision tree regression, gave better results in terms of goodness of fit measures as compared to linear regression model fitted to examine the relationship of cost, time and resource related risk with the overall risk of global software development projects.
Partial Annotation Scheme for Active Learning on Named Entity Recognition Tasks

Active learning is a promising approach to alleviate the expensive annotation cost for making training data on named entity recognition (NER) tasks. However, since existing active learning methods on NER tasks implicitly assume the full annotation scheme of which the unit of an annotation request is the whole sentence, the efficiency of the data instance selection is limited. In this paper, we propose a new active learning method based on a partial annotation scheme, which selects a part of the sentences to be annotated and asks human annotators to label a specific part of the target sentences. In the experiment, we show that the partial annotation scheme can quickly train the proposed point-wise prediction model compared to the existing active learning methods on NER tasks.
An Improved TODIM with Probabilistic Hesitant Fuzzy Information

However, the fuzzy information of the DMs could not be well expressed by the method in Sect. 6.1. Hence, Tian et al. [1] proposed the improved TODIM with the probabilistic hesitant fuzzy information and it is introduced in this chapter.
Model Prediksi Pelanggaran Akuntansi

Financial statements are a reflection of the condition of a company in a certain period. Financial statements are said to be good if the report can provide transparent information and explanations about the results of operations or activities based on predetermined rules. However, there are still many deviations in accounting (accounting irregularities) by companies to maintain and increase the value of the company in attracting investors to keep investing their funds for the survival of the company. These actions included fraud in intentional financial statements. This can be detrimental to users of financial statements in making decisions. This study aims to predict of financial statement fraud with financial stability, personal financial need, ineffective monitoring, external pressure. In this study 53 samples were selected based on the purposive sampling method.This study uses a logistic regression analysis method. The results show that: Financial Stability and personal financial need can predict financial statement fraud. The results of this study are expected to provide knowledge and contribution to the development of the science of triangle fraud. And provide additional information about the factors that can affect a company fraudulent in the financial statements.&#x0D;
Research on the Right Identification and Right Description Standard of Service Data Based On ODRL

This article mainly solves the problem of standardization of ownership and rights description of the main stakeholders in the field of data circulation in the field of data governance: combining the status quo of data protection and ownership identification, starting with the logical relationship between data and information, deconstructs the service data for subject ownership identification; combs the relevant laws and regulations of data protection, and defines the rights of each subject. In order to realize the structure and machine-readable of the right language, we should refer to the ODRL information model of W3C to build the right description standard of service data, describe the application of the standard in the actual transaction scenario, and build the hierarchical right transfer model in the process of data transaction.
Use of information and pedagogical technologies and interactive methods in strengthening the subjects of organic chemistry

The article describes the use of aromatic hydrocarbons and their gamologies on the subject of organic chemistry in the academic lyceum, the use of information and communication technologies and interactive methods in their learning. This article describes the integration of information and communication technology into the academic lyceum through the use of the methodology to raise the level of students' knowledge and to strengthen the theme, and color schemes are described through animation using information technology.
THE INFLUENCE OF MIND MAPPING METHOD AND LEARNING MOTIVATION TOWARDS THE EIGHT GRADE STUDENTS` WRITING ABILITY ON DESCRIPTIVE TEXTS AT ISLAMIC JUNIOR HIGH SCHOOL TWO OF PALEMBANG

This research was concerned with the influence of the mind mapping method and learning motivation towards students` writing ability on descriptive texts at Islamic Junior High School Two of Palembang in the academic year 2019/2020. Sixty students of the eighth grade were chosen as samples utilizing two stages of random sampling. This study applied the factorial research design. The data were collected by using questionnaires and tests. The data were analyzed by using Normality, Homogeneity, Independent Sample t-test, and Two-Way ANOVA. The results showed that, first, there was a significant difference in students’ writing ability on descriptive texts for the students who have high learning motivation with the students who have low learning motivation taught by using the mind mapping method, Second, there was a significant difference on students’ writing ability on descriptive texts for the students who have high learning motivation taught by using mind mapping and conventional method. Third, there was a significant difference in students’ writing ability for the students who had low learning motivation taught by using the mind mapping method and the conventional method. Fourth, there was a significant difference in students’ writing ability on descriptive texts for the students who have high learning motivation with the students who have low learning motivation taught by using the conventional method, finally, there were significant interaction effects of learning motivation on students’ writing ability on descriptive text taught by using mind mapping method and learning motivation at Islamic Junior High School Two of Palembang. So, the mind mapping method could be better used for teaching descriptive texts at Islamic. Junior High School Two of Palembang
Research on the Semantic Architecture of Cultural Heritage Images Based on CIDOC CRM

An image is a visual medium that describes information about objects. The amount of data n in cultural heritage images is constantly amplified in the process of historical development and circulation. It has been significant challenges. The research is based on the international standard ontology reference model CIDOC CRM in the field of cultural heritage. It designs Semantic ontologies and specifications from the perspective of describing, correspondence paths and semantic architecture. The aim is to integrate and correlate the information of cultural heritage images with semantic information. And facilitate the integration and exchange of image information for traditional humanities and social science research.
Mayor outpatient surgery. Opportunity against the pandemic

ABSTRACT The global crisis unleashed by the coronavirus pandemic redefined the modality of health care and thus also in surgery Major Ambulatory Surgery (MAS) was developed as a working modality that was efficient for the health system but was unable to put itself in the conversation At this moment, it seems to be the ideal model to avoid Covid-19 infections and, given this opportunity, to definitively promote their development The General Surgery Service of Nicolas Avellaneda Hospital in Tucuman presents an integrated MAS unit with extensive experience, which served as a support to respond to the need to resolve surgical waiting lists, prevent simple pathologies from progressing to complicated ones, work with low costs and minimize the risk of contagion during the pandemic period in our province We present the steps and precautions taken to redesign and adapt to the daily way of working
Applied WebQual 4.0 to Evaluate SMART System in RSAB Harapan Kita

Website hospital applications are one of the technological developments that affect service quality. Therefore it is necessary to evaluate the quality of the information system provided in the hospital. The method used is webqual 4.0 with usability, information quality, and service interaction quality. Data collection was carried out used a questionnaire given to 232 health workers at RSAB Harapan Kita who interacted with the SMART application. The analysis technique used is descriptive analysis technique with a quantitative approach and cross-sectional research design. The results of this study were 74.1% stated that the quality of the application was good and 25.9% said that the quality of the application was not good, as much as 43.5% stated that the quality was sufficient when viewed from the usability dimension, 40.9% in the information quality dimension, and 40. 1% for the service interaction quality dimension. The SMART application at RSAB Harapan Kita does not yet contain clear instructions or references, does not perfectly present relevant information, and the officer states that they do not feel safe about personal information on the SMART application.
Building an OWL Ontology Step By Step for Lean-Based Software Development

Lean Software Development (LSD) is a set of principles and practices that seek to increase the value of the organization by improving quality and soft-ware development processes, through value flow mapping and waste removal. Because of LSD’s contributions, many organizations are interested in implementing it; however, adopting the principles and practices of LSD without knowing the correct process leads to the premature abandonment of this methodology. Therefore, describing the implementation process through a formal and theoretical language, such as a basic ontology, allows you to have a greater perception of the elements to consider if you want to implement LSD. The objective of this research is to develop a base ontology for the implementation of Lean Software Development in an organization using a mature software development process.
Transient Quantum Particle Attributes

The transient problem is characterized by an in time developing Wigner state, determined by an initial condition - the Wigner function at a given initial time. Transient quantum algorithms are based on a further development of the concepts of signed particles, introduced for the stationary counterpart Chap. 14 . A transition from a single to an ensemble particle picture is now imposed by the existence of a fixed time origin. All particles in the ensemble must be evolved synchronously to contribute at a given instant of time to the time dependent physical averages. Accordingly, particle annihilation can occur at for all particles equal evolution times. Another modified concept is the fundamental definition of a phase space. The momentum space becomes discrete, because a finite coherence length conforms the nanometer scale of the bounded domain of nowadays devices. This imposes to introduce semi-discrete Wigner function, potential, and equation. A Monte Carlo analysis provides the rules for the semi-discrete evolution of the numerical particles. The derived Signed-Particle algorithm, being a typical representative of the signed-particle approach, bears the same name. In the case of a constant electric field the Boltzmann and the Wigner equations become equivalent. This evolution duality offers an excellent opportunity for a proof of the concept. We show that the process of generation/annihilation of particles residing on discrete nodes of the momentum space is equivalent to the continuous Newtonian acceleration inherent to the Boltzmann equation.
Contrastive learning of graph encoder for accelerating pedestrian trajectory prediction training

In the area of pedestrian trajectory prediction, the hybrid structures of temporal feature extractor or spatial feature extractor have paved the way for the precise prediction model, and they are in larger and larger scale. Learning of specific feature encoding model not only influenced by the structure of the network, but also by the learning manners such as supervised learning and unsupervised learning. Previous works concentrated on more comprehensive encoders and more delicate designs of feature extractors. However, the mutual influence factors from the neighbour pedestrians associate with the distance to the centre pedestrian seldomly noticed. Most of the existed feature extractors in prediction models trained in the way of supervised learning other than unsupervised manners caused the problem that the extracted features are always handcrafted without the natural distinction of obscure situations. The graph contrastive accelerating encoder is proposed, which accelerates the pedestrian trajectory prediction training process of the state of the art method of spatio-temporal graph transformer networks. Employing the unsupervised contrastive learning process and the graph of neighbours representing distance affection of nearest and farthest pedestrian to the centre pedestrian, the graph contrastive accelerating encoder significantly shrinked the training time. Holding the final performance on to state of the art level, the proposed method let the lowest pedestrian trajectory prediction error show up in the obviously earlier training steps.