XML Format Research Articles

EVE-X: Software to Identify Novel Viral Insertions in Wild-Caught Arthropod Hosts From Next-Generation Short Read Data.

Eukaryotic genomes harbour sequences derived from non-retroviral RNA viruses, known as endogenous viral elements (EVEs) or non-retroviral integrated RNA virus sequences (NIRVS). These sequences represent a record of past infections and have been implicated in host anti-viral response. We have created a program to identify viral sequences integrated in a host genome. It begins with a specimen BAM file and outputs candidate NIRVS, along with putative host insertion sites and overlapping genomic features of the host genome in XML and visual formats, with minimal intermediary intervention. We ran through this software short-read data derived from the genomes of 222 wild-caught A. aegypti mosquitoes, from a dozen geographical regions, and located putative NIRVS from seven virus families. This program is as accurate as currently available software for NIRVS detection, and represents a significant improvement in adaptability and user-friendliness. Furthermore, the flexibility of this pipeline allows the user to search for sequence integrations across the genome of any organism, as long as a query sequence database and a reference genome is provided. Potential extended applications include identification of integrated transgenic sequences used for research or vector control strategies.

Eye Injury Incidence in Germany from 2008 to 2022: An Analysis of Hospital Quality Reports.

Eye injuries range from minor to severe and may lead to permanent visual impairment. There is still little in the way of epidemiological data on eye injuries in Germany. The aim of this study was to obtain an objective record of minor and severe eye injuries in Germany by evaluating hospital quality reports. We also investigated the relevance of injuries from fireworks in relation to the total number of eye injuries and the general population. This retrospective routine data study entailed analysing hospital quality reports from 2008 to 2022 in XML format. The R programming language was used for data processing and statistical analysis. The number of ICD-coded eye injuries was exported and analysed together with location data. We also included data from a prospective survey study on fireworks-related eye injuries from 2016 to 2023. Eyeball and/or orbital contusions are the most common eye injuries treated in Germany at up to 2,500 cases per year. The most severe injuries comprise traumatic globe rupture with loss of intraocular tissue at up to 990 cases per year. Numbers of eye injuries of any type have been declining since 2020. As a percentage of population, Mecklenburg-Western Pomerania treats the most eye injuries at up to 0.017%; in absolute numbers, North Rhine-Westphalia leads the country at up to 1,600 injuries. Private firework displays are probably responsible for 1.4% of annual globe ruptures and 8.3% of eyeball contusions. Our analysis of hospital quality reports has provided the first comprehensive epidemiological record on eye injuries in Germany. Firework-related injuries account for a relevant proportion of total injuries. These results could serve as a basis for preventive measures and health policy decisions.

OPTIMIZATION OF MANAGEMENT DECISIONS IN TAX RELATIONS: NEW TECHNOLOGIES AND STANDARDS IN ACCOUNTING PROCESSES

The article addresses the critical role of accounting information in the context of tax relations, particularly in the dynamic business environment influenced by globalization. It emphasizes the necessity for structured data organization and information flow to enhance managerial decision-making processes. A significant focus is placed on the quality of accounting data, which is foundational for effective tax reporting and compliance. The study reviews existing literature, highlighting the contributions of Ukrainian researchers who stress the importance of relevant and high-quality accounting information for decision-making. The paper aims to explore the evolving approaches to accounting data formation, driven by globalization and the challenges it presents in tax interactions. It discusses the implications of adopting International Financial Reporting Standards (IFRS), which have been developed to ensure transparency, comparability, and high-quality financial reporting across borders. The article notes that while IFRS adoption is mandatory for many entities in Europe, discrepancies in implementation exist among member states, leading to varied disclosure requirements. Furthermore, the introduction of the Standard Audit File for Tax (SAF-T) is examined as a modern solution for enhancing data exchange between businesses and tax authorities. This XML format enables tax officials to access comprehensive accounting information, facilitating tax audits and compliance checks. The integration of SAF-T with IFRS reporting is posited to improve data quality and operational efficiency while addressing the increasing demand for reliable accounting information. In conclusion, the article argues that the implementation of IFRS and SAF-T can significantly enhance financial transparency and comparability, thereby reducing risks and costs associated with investment evaluations in the global market. However, it also acknowledges potential challenges in managing accounting practices and the need for advanced measures to accurately reflect a company's financial status and performance. This comprehensive analysis underscores the importance of high-quality accounting data in navigating the complexities of modern tax relations

Embedding Structure into HTML for More Precise Retrieval of Information, A Novel XML Schema

This paper presents the core of a universal schema to transform each HTML document into XML format. The objective is to embed a sense of structure into textual documents prior to retrieving information. The structure is obtained from the HTML document based on the schema and applied in the form of an XML document. The resulting structure helps with identifying levels of significance in the HTML page. More relevant results can be obtained by including the hidden structure of the text document in the computation of relevancy during retrieval. The preliminary study indicates potential success with larger studies.

Web System to Support the Teaching of an Undergraduate Distributed Systems Course

This paper introduces a web-based system that supports the teaching of an undergraduate (UG) distributed systems course. It specifically describes a web system that was developed to complement the functionality of web objects in the XML (WOX) framework. It allows for storing and visualizing the state of distributed objects, as well as displaying and executing methods through a web interface. Users can provide values for each of the parameters. The WOX framework is essential to note as it facilitates the development of distributed applications that are object-based and can interoperate among different object-oriented programming languages. WOX employs the XML format to represent objects and uses HTTP as the communication protocol.

Analyzing ECG signals in professional football players using machine learning techniques

BackgroundFootball player's health is important, and preventing sudden cardiac arrest may be a critical issue. Professional football players have different ECG signals than the average population, yet there are considerable gaps in study whereas the general population has been extensively studied. Objectives(a) Generate a reference and innovative resting 12-lead ECG database from 54 UEFA PRO level male football players from La Liga. This is a novel approach to cope the ECG and possible arrythmias in athletes. (b) Manage each XML athlete ECG data and develop a free-use program to visualize, denoise and filter the signal with the capacity to automate the labelling of the waves and save the reports. (c) Study the ECG wave shape and generate models through ML to analyse its utility to automate basic diagnosis. MethodsThe dataset collection is based on a prospective observational cohort and includes 10 s, 12-lead ECGs and rhythm and condition labels for each athlete. Physiological sport arrhythmias, T-Wave shape and other findings were studied and labelled. ECG Visualizer was developed and used for 3 machine learning (ML) methods to automate sinus bradycardia arrhythmia diagnosis. ResultsA dataset with 163 ECGs in XML format was collected comprising the Pro Football 12-lead Resting Electrocardiogram Database (PF12RED). “ECG Visualizer” software was developed, and ML was shown to be useful in detecting sinus bradycardia. ConclusionsThe study demonstrates that AI and machine learning can detect simple arrhythmias with accuracy, also it provides a valuable dataset and a free software application.

Data resource profile of an online database system for forensic mental health services

This paper introduces a forensic psychiatry database established in Japan and discusses its significance and future issues. The purpose of this Database, created under the Medical Treatment and Supervision Act (MTSA) Database Project, is to improve the quality of forensic psychiatry treatment. It can collect monthly data on “basic information,” “Orders and hospitalizations under the MTSA,” “Treatment process,” “Criminal and medical treatment history,” and “problematic behavior in the unit.” The online system has accumulated data on more than 8,000 items in 24 broad categories. Medical data are exported from the medical care assisting system of 32 designated inpatient facilities in XML format and then saved on USB memory sticks. The files are imported into the Database system client, which sends the data to the Database server via a virtual private network. This system minimizes errors and efficiently imports patient data. However, there is a limitation that it is difficult to set items that need to be analyzed to solve everyday clinical problems into the database system because they tend to change over time. By evaluating the effectiveness of the Database, and collecting appropriate data, it is expected to disseminate a wide range of knowledge that will contribute to the future development of mental health and welfare care.

Performance research of C# programming language data serializers using the developed software product for testing

The article deals with the issue of using data serializers for the implementation of projects related to the processing of large volumes of data, as well as the support of high-speed data transmission in distributed systems. It is shown that in this context, the choice of the most effective serialization mechanism is critical for ensuring the performance and scalability of applications. The purpose of this work is to study the effectiveness of data serializers of the C# programming language by developing a software product for testing serializers using objects of different size and type. A review of scientific research on the use of various data serialization formats: XML, JSON, BSON, MessagePack, Smile, Protocol Buffers, Flat Buffers, Apache Thrift was conducted. It was concluded that XML and JSON formats are the most popular today, and their comparative analysis was performed. The expediency of using the JSON serialization format is substantiated, which is due to its safety compared to the binary format, its smaller size compared to the XML format, as well as the support of most software development tools. The .NET framework is chosen, which provides standard tools for JSON serialization of the C# programming language, namely: System.Runtime.Serialize.Json and System.Text.Json, which are supplied by default. The most popular software solutions for serializing C# objects are analyzed, the feasibility of testing such serializers as Jil, Json.NET, Utf8Json, SpanJson and standard serializers is shown in order to identify the advantages and disadvantages of their use for the implementation of specific tasks and projects. The C# BenchmarkDotNet programming language library was chosen to create the tester program. It is noted that this framework of the .NET platform allows you to convert methods into tests and create performance testing thanks to a powerful statistical mechanism. A class diagram and a component diagram of the developed software are given. A study of 5 data serializers was conducted, which included the execution of 7 experiments on serialization of objects with different types of data. The consumption of time and working memory during serialization of small and large objects was analyzed; objects containing one-dimensional, two-dimensional and three-dimensional arrays of natural numbers, an object with a complex chain of class inheritance, as well as an object containing a dictionary. The results of experimental studies showed the dependence of the effectiveness of serializers on the type and volume of data to be serialized. It is concluded that there is no one-size-fits-all serializer that will perform best in all cases. Recommendations for the use of various serializers are provided, taking into account the requirements of a specific project

Implementing the subsystem of research findings control in RNPLS&T’s Single Open Information Archive (SOIA)

The RNPLS&T accomplishes research aimed at improving and developing bibliographic standards and formats, classification and indexing system, frameworks and solutions for library informatization. The materials, publications and reports on the studies make the sources for building the content of RNPLS&T’s Single Open Information Archive (SOIA) [1]. The information model of the subsystem of preservation and management of the data on the research by RNPLS&T professionals was designed on the basis of the experience of using CRIS-systems in Russian academic and research organizations. The authors attempt the analytical review of CRIS-systems implementation in Russian research and analytical organizations, and describe the RNPLS&T’s CRIS-system as a part of SOIA system. They describe in detail the metadata schemes used for presenting data on research findings in RNPLS&T’s CRIS-system.The CERIF standard is based on the data model comprising the entities of “project”, “organization” and “person”, their connections and their attributes. The extended metadata schemes in XML format used for sharing information on research exchange are oai_cerif_openaire and oai_openaire, compatible with CERIF model and supporting usability of OpenAIRE profile.The SOIA metadata exchange subsystem and OAI-PMH data provider generate metadata in oai_cerif_openaire format on the basis bibliographic records in e-catalog, data on authors, organizations and projects as presented in appropriate authority files. Actualization of data on author IDs in the international and national databases (ORCID, RSCI, WoS, Publons, Scopus, ResearchGate) in the authority files is essential.The paper is prepared within the framework of the Government Order No.of August 17, 2023, 075-01235-23-01 of August 17, 2023, theme No. 1021062311369-1-1.2.1;5.8.2;5.8.3 “Information support of research by scientists and specialists on the basis of RNPLS&T’s Open Archive as the system of scientific knowledge aggregation (FNEG-2022-0003)” for 2020–2024.

Creating JATS XML from DOCX

JATS XML (Journal Article Tag Suite) is an adopted XML format used for publishing scientific and scholarly content. It is an alternative way of publishing contemporary scientific and professional journals, which has multiple advantages over traditional publishing methods.One of the key advantages of JATS XML is its ability to enhance the discoverability and accessibility of journal articles. This is achieved through the use of metadata tags, which provide a standardized way of describing content and make it easier for search engines to index and retrieve articles. Additionally, the use of JATS XML allows for better preservation of content and ensures that articles are machine-readable and easily integrated with other scholarly resources.Another significant advantage of JATS XML is its ability to facilitate publishing workflows, but unfortunately although it should be the case, currently that ability is not fully realized. Despite providing a standardized structure for content, which theoretically makes it easier for publishers to manage the publication process, some challenges still exist in the practical implementation of JATS XML. Creating JATS XML requires a lot of time if the editor writes XML from scratch or significant financial resources that need to be invested in purchasing professional tools or outsourcing this work. There are almost no free and effective tools for creating complete and correct JATS XML.The team from SRCE – University of Zagreb, University Computing Centre behind the HRČAK portal decided to adapt the universal document converter called Pandoc primarily for editors and publishers in HRČAK, but with the intention that in the future it can also be used by the wider scientific and professional community. At this workshop, we will introduce the process of creating JATS XML as part of HRČAK which will allow journal editors and publishers to create JATS XML more easily. The goal of is to allow users to create complete and correct JATS XML files for their journals through a simple interface without any prior knowledge of XML.

Abstract 17676: An Electrocardiographic Deep Learning Model is Informative for the Prediction of Atrioventricular Block After Transcatheter Aortic Valve Replacement

Introduction: Atrioventricular block requiring a permanent pacemaker (PPM) is an important complication after transcatheter aortic valve repair (TAVR). While several risk factors have been identified, a clinically useful risk prediction algorithm has been challenging to develop. Furthermore, while artificial intelligence methods utilizing structured clinical data have been used, a deep learning approach using raw electrocardiogram (ECG) data is a novel method in this field. Research Question: The objective of our study was to develop an electrocardiographic artificial intelligence (ECG-AI) model to assess the risk of PPM placement after TAVR using only the pre-procedure ECG. Methods: We analyzed data from 651 patients that underwent TAVR at Atrium Health Wake Forest Baptist in the last 10 years. We obtained raw ECG files in XML format from General Electric (Boston, MA, USA). The ECG data were used as inputs within a convolutional neural network (CNN) model. The CNN was an adjusted residual network with a batch size of 64, had 100 epochs, and used Adam optimization with default parameters. The model was trained using a 5-fold cross-validation strategy on 80% of the data and validated on a 20% hold-out set. The CNN was supervised on need for new PPM within 30 days after TAVR. All model evaluations were performed on the hold-out set. Results: Of the 651 patients in our sample, 61 patients required PPM placement within 30 days after TAVR. The average age was 77.2±9 years and there were 260 females (40%). In our sample, 34/268 (12.7%) patients with self-expanding valves and 26/377 (6.9%) patients with balloon-expanding valves received a PPM. Results of our final model on the hold-out set yielded an area under the receiver-operator characteristic curve (AUC) of 0.74 (95% CI 0.56-0.92). The accuracy of our preliminary model was 77% with a sensitivity of 60% and specificity of 79%. Conclusion: Our ECG-AI model achieved a moderate AUC for the prediction of PPM after TAVR. This serves as a proof of concept that pre-TAVR ECGs alone are informative for prediction of PPM. Future work includes model optimization and adding demographic and clinical variables to refine and develop a robust predictive model with continual improvement of the accuracy for prediction of TAVR outcomes.

OCR Pipeline for Transforming Parliamentary Debates into Linked Data: Case ParliamentSampo - Parliament of Finland on the Semantic Web


 
 
 This paper presents the OCR pipeline created for ParliamentSampo - Parliament of Finland on the Semantic Web, a Linked Open Data (LOD) service, data infrastructure, and semantic portal for studying Finnish political culture, language, and networks of the Members of Parliament (MP). A knowledge graph of linked data has been created based on ca. 967 000 speeches in all plenary sessions of the Parliament of Finland in 1907—2022; the data is also available in XML format, utilizing the new international Parla- CLARIN format. A central part of the historical debates 1907-1999 was available only as PDF documents of fairly low OCR quality and had to be OCRed first; this paper reports lessons learned from this process.
 
 

Open RT Structures: A Solution for TG-263 Accessibility

BackgroundConsistency of nomenclature within radiation oncology is increasingly important as big data efforts and data sharing become more feasible. Automation of radiation oncology workflows depends on standardized contour nomenclature which enables toxicity and outcomes research, while also reducing medical errors and facilitating quality improvement activities. Recommendations for standardized nomenclature have been published in the American Association of Physicists in Medicine (AAPM) report from Task Group 263. Transitioning to TG-263 requires creation and management of structure template libraries and retraining of staff, which can be a considerable burden on clinical resources. Our aim is to develop a program that allows users to create TG-263 compliant structure templates in English, Spanish, or French to facilitate data sharing. Methods53 pre-made structure templates were arranged by treated organ based on an American Society for Radiation Oncology (ASTRO) consensus paper. Templates were further customized with common target structures, relevant OARs (e.g., Spleen for anatomically relevant sites such as gastroesophageal junction or stomach), sub-site specific templates (e.g. partial breast, whole breast, intact prostate, postoperative prostate, etc.) and brachytherapy templates. An informal consensus on OAR and target coloration was also achieved, though color selections are fully customizable within the program. ResultsThe resulting program is usable on any Windows system and generates template files in practice-specific DICOM or XML formats, extracting standardized structure nomenclature from an online database maintained by members of the TG-263U1 Task Group which ensures continuous access to up-to-date templates. ConclusionsWe have developed a tool to easily create and name DICOM-RT structures sets that are TG-263-compliant for all planning systems utilizing the DICOM standard. The program and source code are publicly available via GitHub, encouraging feedback from community users for improvement and guide further development.

Metadata Scraping Using Programmable Customized Search Engine

The World Wide Web (WWW) is a vast repository of knowledge, including intellectual, social, financial, and security-related data. Online information is typically accessed for instructional purposes. On the internet, information is accessible in a variety of formats and access interfaces. Because of this, indexing or semantic processing of the data via websites may be difficult. The method that seeks to resolve this issue is web data scraping. Unstructured web data can be converted into structured data using web data scraping so that it can be stored and examined in a central local database or spreadsheet. This paper offers a metadata scraping using a programmable Customized Search Engine (CSE) system, which can extract metadata from web pages (HTML pages) in the Google database and save it in an XML format for later analysis and retrieval. Documents that contain metadata are a relatively recent phenomenon on the web and increase the likelihood that users will find the information they need. Index Terms— Programmable (CSE), JSON API, API key, metadata scraping.

Building an Electronic Medical Record System Exchanged in FHIR Format and Its Visual Presentation.

Currently, the Taiwan Electronic Medical Record Exchange Center uses the Clinical Document Architecture (CDA) framework, which is based on the international medical standard. The CDA R2 standard, defined in 2005, is used for cross-institution retrieval of electronic medical records (Ministry of Health and Welfare, Information Department, 2021). However, CDA R2 only supports the exchange of clinical documents and is limited to the XML format. Due to the lack of a standardized framework for medical data exchange in Taiwan, different standards and specifications result in different data interface methods between systems, requiring customization for each system by healthcare institutions or the government. The inconsistency in data formats requires healthcare institutions and the government to spend more time on data parsing and mapping, resulting in slow integration of medical data. In this study, we simulated healthcare institutions using Fast Healthcare Interoperability Resources (FHIR) for medical information exchange and utilized the exchanged medical information to create a dynamic dashboard to assist healthcare professionals in making medical decisions. To ensure information security, we employed Hyper Text Transfer Protocol Secure (HTTPS) for secure transmission, which encrypts the transmitted medical record data using the Transport Layer Security (TLS) protocol, preventing deliberate interception and tampering of medical record data between the two systems. Finally, to test the load and performance of static and dynamic resources and web applications, we conducted a system performance evaluation using Apache JMeter. The results of this study demonstrate that replacing the gateway of the Electronic Medical Record Exchange Center with an FHIR server effectively reduces the time and cost spent by developers on data format conversion while also mitigating the information security risks associated with the previous VPN solution. Additionally, by utilizing dynamic charts, healthcare professionals are assisted in making medical decisions.

Describing Inscriptions of Ancient Italy. The ItAnt Project and Its Information Encoding Process

This article discusses the challenges addressed in the digital scholarly encoding of the fragmentary texts of the languages of Ancient Italy according to the TEI/EpiDoc Guidelines in XML format. It describes the solutions and customisations that have been adopted for dealing with the peculiarities of our epigraphical documentation and with the formalisation of epigraphical information deemed interesting for data retrieval in a historical linguistic perspective. The making of a digital corpus consisting of new critical editions of selected inscriptions is a work carried out in the context of the project “Languages and Cultures of Ancient Italy. Historical Linguistics and Digital Models”, which aims to investigate the languages of Ancient Italy by combining the traditional methods, proper to historical linguistics, with methods and technology proper to the digital humanities and computational lexicography. More specifically, the purpose of the project is to create a set of interrelated digital language resources which comprise: (1) a digital corpus of texts editions; (2) a computational lexicon compliant with the Web Semantic requirements; (3) a relevant bibliographic reference dataset encoded according to the FRBRoo/LRMoo specifications. Additionally, selected textual data and scientific interpretations will be encoded using CIDOC CRM and its extensions, namely CRMtex and CRMinf. The present contribution thus tackles one of the main aspects of the project, and proposes significant innovations in the encoding of critical editions for epigraphic texts of fragmentary languages, which will hopefully foster future interoperability and integration with other external datasets, a paramount concern of the project.

Pre-Publication Data Linking in Taxonomy and Biodiversity: The ARPHA and Metotaxa-Metostem Publishing Systems

The traditional way of publishing in PDF makes it difficult to retrospectively convert the legacy literature into data. This presentation will discuss pre-publication tagging as an alternative solution for publishing FAIR (Findable, Accessible, Interoperable, Resuable) biodiversity data. The Metotaxa-Metostem workflow Тhe MetoTaxa project aims to create a new digital production chain for the European Journal of Taxonomy, which enables the pre-publication semantic structuring of text, automatic tagging and semantic enrichment (annotation). The system is based on a single-source publishing model, where the development of an XML file enables technical editors to automatically enrich text and produce multiple digital outputs. This makes it possible to structure generic or domain-specific sections of articles (e.g., Introduction; Material and methods; Taxon names or Мaterial examined). Thanks to the GoldenGate API developed by Plazi, the Text Encoding Intiative (TEI) XML source file is automatically annotated with JATS TaxPub tags: taxon names are labeled and each authorship can be checked via Catalogue of Life, each element of the material examined is parsed thanks to the preformatting of the text (Chester et al. 2019). Also, each bibliographic reference is parsed into Journal Article Tag Suite (JATS) elements (author names, title, journal, etc.), which automatically links references to their in-text citations. Pre-publication tagging will be carried out by the technical editors and then checked by the authors before publication, and will be sent to databases such as Global Biodiversity Information Facility (GBIF) or Biodiversity Literature Repository (BLR) as soon as the article is published. We will also briefly present MetoStem, which offers a technical solution for the digital transformation of monographs, and particularly floras. The tools and methods developed by this project will enable advanced publication of interoperable structured text and data. ARPHA Publishing Platform Launched in 2010 by Pensoft, ARPHA (Penev et al. 2010) is the first ever scholarly publishing platform to support pre-publication semantic tags and enhancements to entities (e.g., taxon treatments, taxon names, sequences) in the JATS TaxPub XML format developed by Plazi, which are then embedded into the HTML version of the article. Having proved advantageous for biodiversity scientists, Pensoft’s pre-publication tagging workflow has since been adopted by over 30 biodiversity journals hosted on ARPHA. The second development stage of ARPHA was marked by the launch of ARPHA Writing Tool (AWT)*1 and Biodiversity Data Journal in 2013. AWT supports import of Darwin Core structured data from GBIF, Barcode of Life Data Systems (BOLD) and Integrated Digitized Biocollections (iDigBio) directly into manuscripts. These are also exported automatically as published material citations to GBIF. AWT also provides several other unique tools encompassed within the ARPHA-BioDiv toolbox (Penev et al. 2017). Currently, AWT is being redeveloped into a standalone, freely accessible installation (AWT 2.0), based on a micro-service architecture. It enables new semantic enhancements during the authoring process, which can be confirmed by the authors before manuscript submission. Such enhancements include the in-text citations context by CiTO ontology; automated tagging of taxon names and linking to their identifiers in authoritative sources; annotator tool; nanopublication module; automated search and import of references; treatment citation module; export/import to/from JATS TaxPub; and internal communication tool for contributors.

LinguaPhylo: A probabilistic model specification language for reproducible phylogenetic analyses.

Phylogenetic models have become increasingly complex, and phylogenetic data sets have expanded in both size and richness. However, current inference tools lack a model specification language that can concisely describe a complete phylogenetic analysis while remaining independent of implementation details. We introduce a new lightweight and concise model specification language, 'LPhy', which is designed to be both human and machine-readable. A graphical user interface accompanies 'LPhy', allowing users to build models, simulate data, and create natural language narratives describing the models. These narratives can serve as the foundation for manuscript method sections. Additionally, we present a command-line interface for converting LPhy-specified models into analysis specification files (in XML format) compatible with the BEAST2 software platform. Collectively, these tools aim to enhance the clarity of descriptions and reporting of probabilistic models in phylogenetic studies, ultimately promoting reproducibility of results.

Enabling efficient business process mining using flatten sequential structure model

The volume of extensible markup language (XML) format documents is increasing every day due to the development of internet and the use of XML format in business process log file. Storing business process log data in XML format is preferable due to the ability of extensible and storing data irrespective of how it will be represented. However, mining XML format data poses challenges due to its complex data structure and dimensions. This paper proposes a method to convert XML format document into a structured format without ignoring the structural information. Converting semi-structured business process log data into structured format will allow more data mining techniques and statistical test be conducted and extract information from the business process log data. The experiment in this study performs t-test on a set of synthetic data and a set of real-world data to prove that information in business process log can be extracted through normal statistical test. Empirical results show that statistical analysis can be conducted on business process log data especially in XML format after flatten sequential structure model (FSSM) is used.

Representing the Sung Poetry of Ottoman Art Music in a Critical Digital Edition in TEI XML

The research project “Corpus Musicae Ottomanicae” dedicates itself to the critical editions of Near Eastern music manuscripts that saw increasing production from the early 19th century onwards to record music especially centered in Ottoman Istanbul. The principal way to write down this originally oral tradition was in Hampartsum notation, invented around 1812 by an Armenian of the same name before it became discontinued with the introduction of Western staff notation from 1830 onwards. Within the project’s scope, there are three areas of research and deliverables: the indexing of sources in a catalog, the music edition under consideration of modal and rhythmic principles of Ottoman music, and the text edition of sung poetry mainly in Ottoman Turkish written in various scripts. Overarching are the digital humanities to present the research output in a holistic approach. This paper will focus on the design of representing the text edition in TEI XML format.