Explore the vast range of titles available.

Objective and systematic methods to search, review, and synthesize published studies are a fundamental aspect of carcinogen hazard classification. Systematic review is a historical strength of the International Agency for Research on Cancer (IARC) Monographs Program and the United States National Toxicology Program (NTP) Office of the Report on Carcinogens (RoC). Both organizations are tasked with evaluating peer-reviewed, published evidence to determine whether specific substances, exposure scenarios, or mixtures pose a cancer hazard to humans. This evidence synthesis is based on objective, transparent, published methods that call for extracting and interpreting data in a systematic manner from multiple domains, including ) human exposure, ) epidemiological evidence, ) evidence from experimental animals, and ) mechanistic evidence. The process involves multiple collaborators and requires an extensive literature search, review, and synthesis of the evidence. Several online tools have been implemented to facilitate these collaborative systematic review processes. Specifically, Health Assessment Workplace Collaborative (HAWC) and Table Builder are custom solutions designed to record and share the results of the systematic literature search, data extraction, and analyses. In addition, a content management system for web-based project management and document submission has been adopted to enable access to submitted drafts simultaneously by multiple co-authors and to facilitate their peer review and revision. These advancements in cancer hazard classification have applicability in multiple systematic review efforts. https://doi.org/10.1289/EHP4224.

The success of digital platforms can be attributed to the engagement of autonomous complementors as exemplified by e-commerce Content Management System (CMS) platforms such as WordPress and Shopify. Platform owners provide Platform Boundary Resources (PBRs) to stimulate and control complementor engagement. Despite the increasing scholarly interest in digital platform ecosystems, their exact role in facilitating and channeling complementor engagement remains unclear. Therefore, we conducted an embedded case study on CMS platform ecosystems, comprising a total of 24 interviews with platform owners and complementors. We inductively derive five types of complementor engagement and their respective manifestations and two overarching engagement goals of complementors. Moreover, we determine the different types of PBRs utilized, including their critical effects, and distinguish between uniform and individual PBRs reflecting their respective generalizability and scalability. We discuss the findings by introducing the concepts of complementor resourcing and complementor securing and shed light on the standardization-individualization tension of PBRs faced by platform owners.

Inherited haemoglobinopathies are the most common monogenic diseases, with millions of carriers and patients worldwide. At present, we know several hundred disease-causing mutations on the globin gene clusters, in addition to numerous clinically important trans-acting disease modifiers encoded elsewhere and a multitude of polymorphisms with relevance for advanced diagnostic approaches. Moreover, new disease-linked variations are discovered every year that are not included in traditional and often functionally limited locus-specific databases. This paper presents IthaGenes, a new interactive database of haemoglobin variations, which stores information about genes and variations affecting haemoglobin disorders. In addition, IthaGenes organises phenotype, relevant publications and external links, while embedding the NCBI Sequence Viewer for graphical representation of each variation. Finally, IthaGenes is integrated with the companion tool IthaMaps for the display of corresponding epidemiological data on distribution maps. IthaGenes is incorporated in the ITHANET community portal and is free and publicly available at http://www.ithanet.eu/db/ithagenes.

The Workflow system is an effective solution to the task of optimizing information flow in the electronic publishing system, which can reduce the number of errors and optimize the process of publishing articles. The purpose of this article was to create a methodology for developing an information site for web publishing. To achieve the goal of the research, scientific methods of generalization, classification, deduction and analysis were used. A problem-solving tree has also been created. The ultimate goal of overcoming this problem is the development of an information site with Workflow support. The study outlines the general structure of sections and subdivisions of the information site. In the context of this article, a methodology was developed to support the process of publishing articles on an information site based on the use of a modern content management system. For this purpose, the key criteria for a basic decision-making model for choosing a content management system were proposed and a rating of free content management systems was given. As a result of the analysis of the proposed criteria, it was concluded that the Joomla tool environment should be used to support web publishing processes. The paper compares the components of the Workflow organization on the information site. An algorithm for selecting a component for organizing the Workflow has been created. In order to create a site with Workflow support for publishing articles, the stages of development were planned, a list of criteria, based on which the development should be carried out, was proposed and a structural diagram for creating such site was given. The limitations of the created methodology for the development of an information site, which may arise in the process of practical implementation and adoption of relevant management decisions, are considered. The practical result of the work is recommendations for web developers to create an information site with Workflow support for publishing articles

The software industry is changing as a result of the rising influence both of packaged and of Free/Libre/Open Source Software (FLOSS), but the change trajectory of the industry is still not well understood. This paper aims to contribute to clarifying software industry evolution through a longitudinal study, using Industry Change Trajectory Theory to explain and predict the evolution of the Content Management Systems (CMS) segment and the extent to which its results can be generalized to the overall software industry. Our data analysis shows that CMS players are experiencing a modification of their segments' change trajectory. While McGahan in 2004 recognized that the software industry was in a creative change trajectory, it has subsequently faced strong competition on its core assets, (i.e. applications) and the empirical results of our longitudinal study from 2002 to 2007 show the CMS segment is now in a radical change trajectory, due to the rapid obsolescence of its core activities. Changes affecting the segment include the continuous development of CMS applications, the faster extension of functions for FLOSS CMS than for packaged CMS, the diffusion of the practice of providing services as well as delivering of software solutions.

Over the last eight years, the volume of whole genome, gene expression, SNP genotyping, and phenotype data generated by the cotton research community has exponentially increased. The efficient utilization/re-utilization of these complex and large datasets for knowledge discovery, translation, and application in crop improvement requires them to be curated, integrated with other types of data, and made available for access and analysis through efficient online search tools. Initiated in 2012, CottonGen is an online community database providing access to integrated peer-reviewed cotton genomic, genetic, and breeding data, and analysis tools. Used by cotton researchers worldwide, and managed by experts with crop-specific knowledge, it continuous to be the logical choice to integrate new data and provide necessary interfaces for information retrieval. The repository in CottonGen contains colleague, gene, genome, genotype, germplasm, map, marker, metabolite, phenotype, publication, QTL, species, transcriptome, and trait data curated by the CottonGen team. The number of data entries housed in CottonGen has increased dramatically, for example, since 2014 there has been an 18-fold increase in genes/mRNAs, a 23-fold increase in whole genomes, and a 372-fold increase in genotype data. New tools include a genetic map viewer, a genome browser, a synteny viewer, a metabolite pathways browser, sequence retrieval, BLAST, and a breeding information management system (BIMS), as well as various search pages for new data types. CottonGen serves as the home to the International Cotton Genome Initiative, managing its elections and serving as a communication and coordination hub for the community. With its extensive curation and integration of data and online tools, CottonGen will continue to facilitate utilization of its critical resources to empower research for cotton crop improvement.

Patient Education and Safety Easy-to-read patient education (PE) helps a person's ability to make good health-related decisions. Only 12 percent of adults in the U.S. have proficient health literacy to make those health decisions (CDC 2021), while the remaining individuals struggle with understanding health information. The U. S. Department of Health and Human Services and the Association of Community Cancer Centers (ACCC) recognize how health literacy must unlock cancer information to positively impact health care decisions with the goal of making PE accessible and actionable. The evolving complexities of cancer care challenges cancer centers to create effective PE that is understandable and supports all people with cancer to adopt and retain new self-management behaviors. There are five keys to creating equitable and effective cancer patient education. * Understand the relationship between health literacy and health equity. Develop simple teaching tools which will be more accessible to a broader group. * Assess the reading level of the education with the goal of sixth grade reading level utilizing tool such as Health Literacy Advisor™. If possible, determine the languages used most frequently in your community and engage a translation and or interpreter service within your organization. * Consider adding a Certified Health Education Communications Specialist (HECS) to your education team. This role is expert in designing and creating education tools and are passionate advocates for patients and health equity. * Build a \"Patient and Family Education Committee\" comprised of culturally diverse patients, families, and clinical stakeholders. Members can review PE materials and provide invaluable feedback. * Implement a content management system (CMS) such as (Drupal, Squarespace) to manage document versions and alert the team to revision due dates. More advanced CMS can \"tag\" PE documents, videos, etc. for analytics that can demonstrate usage of the PE materials. In summary, the use of simple language, professionals who identify evidence-based practices, Health Education Specialists who know the patient consumer, and other resources will make your PE materials more understandable and actionable to impact shared decision making between providers and patients with loved ones.

Background Biomedical research projects deal with data management requirements from multiple sources like funding agencies’ guidelines, publisher policies, discipline best practices, and their own users’ needs. We describe functional and quality requirements based on many years of experience implementing data management for the CRC 1002 and CRC 1190. A fully equipped data management software should improve documentation of experiments and materials, enable data storage and sharing according to the FAIR Guiding Principles while maximizing usability, information security, as well as software sustainability and reusability. Results We introduce the modular web portal software menoci for data collection, experiment documentation, data publication, sharing, and preservation in biomedical research projects. Menoci modules are based on the Drupal content management system which enables lightweight deployment and setup, and creates the possibility to combine research data management with a customisable project home page or collaboration platform. Conclusions Management of research data and digital research artefacts is transforming from individual researcher or groups best practices towards project- or organisation-wide service infrastructures. To enable and support this structural transformation process, a vital ecosystem of open source software tools is needed. Menoci is a contribution to this ecosystem of research data management tools that is specifically designed to support biomedical research projects.

With the widespread usage of Web applications, the security issues of source code are increasing. The exposed vulnerabilities seriously endanger the interests of service providers and customers. There are some models for solving this problem. However, most of them rely on complex graphs generated from source code or regex patterns based on expert experience. In this paper, TAP, which is based on token mechanism and deep learning technology, was proposed as an analysis model to discover the vulnerabilities of PHP: Hypertext Preprocessor (PHP) Web programs conveniently and easily. Based on the token mechanism of PHP language, a custom tokenizer was designed, and it unifies tokens, supports some features of PHP and optimizes the parsing. Besides, the tokenizer also implements parameter iteration to achieve data flow analysis. On the Software Assurance Reference Dataset(SARD) and SQLI-LABS dataset, we trained the deep learning model of TAP by combining the word2vec model with Long Short-Term Memory (LSTM) network algorithm. According to the experiment on the dataset of CWE-89, TAP not only achieves the 0.9941 Area Under the Curve(AUC), which is better than other models, but also achieves the highest accuracy: 0.9787. Further, compared with RIPS, TAP shows much better in multiclass classification with 0.8319 Kappa and 0.0840 hamming distance.

The content management system is an indispensable part of enterprise information construction. With the rise of the concept of front and rear separation and the maturity of related technologies, it is a better choice to create a multi-functional front-end web application in complex large-sized or medium-sized projects, which sits on top of a microservices-based architecture. As the business grows, the single front end becomes more and more bloated, resulting in a single page application that is not well scaled and deployed, and difficult to maintain. Based on the analysis of above problems, combined with the corresponding front-end technology, this paper applies the microservice concept to the development of front-end and proposes a design scheme of content management system based on micro frontends. Besides, the key issues in practice process, such as micro frontends design concept and implementation methods are described in detail.