Antecedents and Consequences of Schema Modes among Adults

Personality disorders (PDs) have a long history of understanding the causes and consequences of PDs. The Schema Theory explained a series of psychological processes that led to the genesis of PDs, rather than the antecedents-consequences dichotomy. Bad childhood events, according to Young's Schema Theory, contribute to the formation of childhood negative cognitive schemas, some of which (schemas) survive into adulthood and transform into PDs. The same theoretically proposed strategy was tested in this investigation. Mediating role of schema modes between emotional maltreatment and PDs in adults was investigated. The study was conducted with 1000 adults by using cross-sectional survey design. Mediation analysis explained that schema modes mediated between emotional maltreatments and PDs of adults. Thus, the Schema Theory gained support from the empirical data. Schema modes mediated for all personality clusters including cluster-A, B and C. In line with these empirical insights, the maladaptive personality traits also mediated between emotional maltreatments and PDs of adults

Development of BIM-Based Bridge Maintenance System Considering Maintenance Data Schema and Information System

Due to the significant increase in the age of infrastructure globally, maintenance of existing structures has been prioritized over the construction of new structures, which are very costly. However, many infrastructure facilities have not been managed efficiently due to a lack of well-trained staff and budget limitations. Bridge management systems (BMSs) have been constructed and operated globally to maintain the originally designed structural performance and to overcome the inefficiency of maintenance practices for existing bridges. Unfortunately, because most of the current BMSs are based on 2D information systems, bridge maintenance data and information are not utilized effectively for bridge management. To overcome these problems, studies of BMSs based on building information modeling (BIM) have significantly increased in number. Most previous studies have proposed comprehensive frameworks containing approximate and limited information for maintenance to utilize BIM technology. Moreover, the utilization level of the maintenance information is less efficient because detailed information regarding safety diagnosis and maintenance are not included in data formats that are interpretable by computer algorithms. Therefore, in this study, a BIM-based BMS, including detailed information relating to safety diagnosis and maintenance, was constructed for the sustainability of bridge maintenance. To consider detailed information in the BMS, a maintenance data schema and its information system were established via the compilation of detailed information for safety diagnosis, repair and strengthening, remaining life, and valuation. In addition, a web data management program (WDMP) was developed using the maintenance data schema and information system, and was connected with the Midas CIM, which is a 3D modeling program. Finally, a prototype of the proposed BMS was established for an actual bridge in Korea. The proposed BMS in this study may be expected to improve the existing management practices for maintenance, and to reduce maintenance cost and information loss.

Initiating FAIR geothermal data in Indonesia

<p>One of the main keys to scientific development is data availability. Not only the data is easily discovered and downloaded, there's also needs for the data to be easily reused. Geothermal researchers, research institutions and industries are the three main stakeholders to foster data sharing and data reuse. Very expensive deep well datasets as well as advanced logging datasets are very important not only for exploitation purposes but also for the community involved eg: for regional planning or common environmental analyses. In data sharing, we have four principles of F.A.I.R data. Principle 1 Findable: data uploaded to open repository with proper data documentations and data schema, Principle 2 Accessible: removed access restrictions such as user id and password for easy downloads. In case of data from commercial entities, embargoed data is permitted with a clear embargo duration and data request procedure, Principle 3 Interoperable: all data must be prepared in a manner for straightforward data exchange between platforms, Principle 4 Reusable: all data must be submitted using common conventional file format, preferably text-based file (eg `csv` or `txt`) therefore it can be analyzed using various software and hardware. The fact that geothermal industries are packed with for-profit motivations and capital intensive would give even more reasons to embrace data sharing. It would be a good way for them to share their role in supporting society. The contributions from multiple stakeholders are the most essential part in science development. In the context of the commercial industry, data sharing is a form of corporate social responsibility (CSR). It shouldn't be defined only as giving out funding to support local communities.</p><p><strong>Keywords</strong>: open data, FAIR data, data sharing </p><p> </p>

A protocol for adding knowledge to Wikidata: aligning resources on human coronaviruses

Background Pandemics, even more than other medical problems, require swift integration of knowledge. When caused by a new virus, understanding the underlying biology may help finding solutions. In a setting where there are a large number of loosely related projects and initiatives, we need common ground, also known as a “commons.” Wikidata, a public knowledge graph aligned with Wikipedia, is such a commons and uses unique identifiers to link knowledge in other knowledge bases. However, Wikidata may not always have the right schema for the urgent questions. In this paper, we address this problem by showing how a data schema required for the integration can be modeled with entity schemas represented by Shape Expressions. Results As a telling example, we describe the process of aligning resources on the genomes and proteomes of the SARS-CoV-2 virus and related viruses as well as how Shape Expressions can be defined for Wikidata to model the knowledge, helping others studying the SARS-CoV-2 pandemic. How this model can be used to make data between various resources interoperable is demonstrated by integrating data from NCBI (National Center for Biotechnology Information) Taxonomy, NCBI Genes, UniProt, and WikiPathways. Based on that model, a set of automated applications or bots were written for regular updates of these sources in Wikidata and added to a platform for automatically running these updates. Conclusions Although this workflow is developed and applied in the context of the COVID-19 pandemic, to demonstrate its broader applicability it was also applied to other human coronaviruses (MERS, SARS, human coronavirus NL63, human coronavirus 229E, human coronavirus HKU1, human coronavirus OC4).

Improving the Integration of Distributed Applications

The interaction of distributed applications raises an integration problem that needs to be solved. Current integration technologies, such as Web Services and RESTful APIs, solve the interoperability problem but usually entail more coupling than required by the interacting applications. This is caused by sharing data schemas between applications, even if not all features of those schemas are actually exercised. The fundamental problem of application integration is therefore how to provide at most the minimum coupling possible while ensuring at least the minimum interoperability requirements. This article proposes compliance and conformance as the concepts to achieve this goal, by sharing only the subset of the features of the data schema that are actually used.

AN APPROACH FOR STANDARDIZATION OF SEMANTIC MODELS FOR BUILDING RENOVATION PROCESSES

The design and maintenance of buildings and infrastructures relies on digital tools such as Computer-Aided Design (CAD), Building Information Modelling (BIM) methods, Geographic Information System (GIS) datasets and other kinds of digital representation of knowledge. The innovations in digital technologies in Architecture, Engineering, Construction and Operations (AECO) sector are not just related to the enhancement of consolidated processes, but they open new collaboration methods and integration with other Information and Communication Technologies (ICT) such as Internet of Things (IoT), additive manufacturing, automation, augmented reality and artificial intelligence. As domain-specific software solutions are expanding their features over different sources and datasets, the need for integration and standardization of information storage and exchange arises. Semantic Web technologies are one of the emerging solutions for solving such issues, as they offer the possibility to combine data from diverse data models and multiple domains using the web. Among the ontologies developed in the last decade for the construction sector, one specific reference should be made on the ifcOWL, an IFC-based ontology representing the most used data schema industry. Nonetheless, from the standardization point of view, so far ontologies have not been considered among the standard methods for information exchange in the AEC, unlike in other sectors (e.g. ISO 15926 was firstly developed for the integration of life cycle data for process plants of oil and gas facilities). This paper aims at showing a standardization and harmonization perspective for ontologies in the AECO industry, starting from the results achieved in the BIM4EEB project.