Upload Function Research Articles

History Extended: Migration of Systema Dipterorum into TaxonWorks

Now 40-year old, Systema Dipterorum was originally created in a FileMaker™ database by F.C. Thompson and is currently maintained by N.L. Evenhuis and T. Pape (Evenhuis and Pape 2024a). Recent conversations as to its future led to an effort to transition Systema Dipterorum into TaxonWorks. A web-based platform tailored to the requirements of biodiversity-informatics scientists, TaxonWorks meets the evolving needs of Systema Dipterorum. TaxonWorks provides tools designed to facilitate data migration, management, validation, and packaging for exports, such as Darwin Core-Archives (DwC-A) and Catalogue of Life Data Package (CoL-DP) formats. While TaxonWorks offers batch upload functionality, the intricate nature of the Systema Dipterorum database necessitated specialized handling, i.e., a custom migration script. A TaxonWorks version of Systema Dipterorum is now accessible for preview and validation. This preview is particularly valuable for nomenclature validation, as TaxonWorks includes many tools ensuring compliance with the rules of Zoological Nomenclature (International Commission on Zoological Nomenclature 1999). Additionally, this preview version now directly feeds the pipeline serving Systema Dipterorum to the Catalogue of Life. By migrating Systema Dipterorum into TaxonWorks, a wide range of utilities expanding the decades of effort behind the data are unlocked. TaxonWorks enables the creation of paper-style catalogs and the sharing of data via its public interface, TaxonPages. A test version of Systema Dipterorum stored in TaxonWorks and rendered with TaxonPages is now available on-line (Evenhuis and Pape 2024b). The data are also accessible via a JavaScript Object Notation (JSON) API, enabling computing (e.g., scripted synonymy queries) against the TaxonWorks dataset. Complexity and diversity of the data are illustrated in Fig. 1. While many technical hurdles are resolved, major challenges remain in building a new community around Systema Dipterorum, one that will collectively take over the efforts of the few curators who have worked for so long on this broadly used resource.

Smartphone Camera for Angiographic Computer Vision in Vascular Medicine

Aim: This study aimed to develop a TensorFlow Lite algorithm for angiography classification and to deploy it on a basic mobile smartphone device, thereby verifying the proof of concept for creating a comprehensive end-to-end mobile computer vision application for vascular medicine. Materials and Methods: After ethical approval by the local ethics committee, we collected institutional and open source peripheral angiograms of lower limbs. The angiograms were labeled by a researcher with more than 10 years of experience in vascular surgery. The labeling included dividing the angiograms according to their anatomical pattern into the Global Limb Anatomic Staging System (GLASS). The model was developed using the open-source TensorFlow framework for general image classification and deployed as an Android application. Results: The model utilized 700 angiograms, distributed as follows within the femoropoliteal GLASS disease (fp) categories: fp0 – 187 images, fp1 – 136 images, fp2 – 128 images, fp3 – 97 images, fp4 – 152 images. The reference dataset included 372 non-angiographic images (not_angio). Consequently, the entire model included 1,072 images. After training and deployment, the model demonstrated the following performance: a mean accuracy of 0.72. The best self-reported accuracy per class was for fp0 0.72, fp4 0.83 and not_angio 1.0 classes. Conclusion: We discovered that a smartphone camera could be utilized for angiographic computer vision through end-to-end applications accessible to every healthcare professional. However, the predictive abilities of the model are limited and require improvement. The development of a robust angiographic computer vision smartphone application should incorporate an upload function, undergo validation through head-to-head human-machine comparisons, potentially include segmentation, and feature a prospective design with explicit consent for using collected data in the development of AI models.

Fashion Finder : Ai-Powered Image Analysis and Online Shopping Integration App

The proposed mobile application aims to revolutionize the fashion industry by providing users with a seamless way to discover and purchase clothing items through image recognition technology. The app allows users to either capture images of clothing items through their device's camera or upload images from their stored files. Leveraging machine learning and computer vision algorithms, the app identifies the corresponding clothing items within the images. Upon identification, the app interfaces with e-commerce platforms such as Amazon and Flipkart to search for similar items available for purchase. The development process involves extensive research, design, and implementation of features including image recognition, camera/file upload functionality, API integration with e-commerce platforms, user authentication, and additional user-friendly features. Through rigorous testing, deployment on major app stores, and continuous maintenance, the app aims to offer a seamless and engaging experience for fashion enthusiasts while adhering to user privacy and data security standards.

Migration of the Catalogue of Afrotropical Bees into TaxonWorks

The Catalogue of Afrotropical Bees provides a comprehensive checklist of species of bees known from Sub-Saharan Africa and the western Indian Ocean islands, excluding the honey bee (Apis mellifera Linnaeus) (Eardley and Urban 2010). The checklist has a detailed bibliography of the group, distribution records, and biological associations (visited flowers, host plants, plants used as nests, as well as parasitoids). The database, which was originally built in Microsoft Access, and later managed using Specify Software, was recently migrated to TaxonWorks. TaxonWorks is an integrated, web-based platform designed specifically for the needs of practicing taxonomists and biodiversity scientists, and maintained by the SpeciesFile Group. TaxonWorks has a variety of tools that were designed to help import, manage, validate, and package data for future exports (e.g., in the Darwin Core-Archives (DwC-A; GBIF 2021) or Catalogue of Life's COL-DP formats). Although TaxonWorks has batch upload functionality (e.g., in Darwin Core-Archive, BibTeX format), the complexity of the original dataset (Fig. 1) required special handling, and a custom migration was built to transfer the data from the original format. TaxonWorks could now be used to produce a paper-style catalogue or share the data via the TaxonWorks public interface, TaxonPages.

RecutClub 2.0: Deployment of a Trainee-Led, Didactic-Centered Whole Slide Imaging Platform

Abstract Objectives The Houston Methodist Pathology training program encourages trainee participation in quality improvement (QI) projects for improving the didactics experience. One of these initiatives is RecutClub, a whole slide imaging (WSI) web-based platform for presenting surgical pathology unknown conference cases. With the evolving nature of pathology didactics in an ever-changing world where remote work plays an increasingly important role, several refinements were needed to ensure that the platform could continue to provide an unparalleled WSI experience for incoming trainees. Additionally, the burden of updating site content needed to be distributed from the site administrators to the end-users. Methods RecutClub is operated through Google Cloud via a Google App Engine instance. It connects to Google Cloud Databases to store persistent tabular data and Google Cloud Storage for pyramidal JPEG files used to display whole slide images in a web-browser. In the next generation platform (RecutClub 2.0), the largest change was to migrate case uploading from a developer-controlled solution to a decentralized, trainee-driven web portal. To ensure a superior user experience, the entire site as well as the upload form was migrated to Bootstrap 4. An AJAX-native, asynchronous uploader was built to interface the existing Google Cloud platform to a new upload portal that allows authorized trainees to build cases from scratch. Additionally, a tagging solution was implemented to allow for server-side persistent storage of trainee-selected cases, such as “interesting” cases or cases for further review. This tagging complements the existing region of interest (ROI) and case search functionalities. Results The deployment of RecutClub 2.0 involved multiple rounds of resident-led testing and feedback. Several regular testers offered ongoing user feedback and suggestions for visual layout and usability. The response from the general trainee population after deployment was overwhelming positive, with many trainees commenting on the “improved” visual aesthetics as well as the convenience of the upload functionality. Administrator involvement in case-upload time decreased from 2 hours/month to 0 hours/month due to enabling trainee-driven uploading. Conclusions The deployment of RecutClub 2.0 fulfilled the dual primary objectives of enabling straightforward trainee-led content updates, as well as decreasing administrator involvement in case-upload time. These and other changes ensure that RecutClub can continue to provide an unparalleled WSI experience for pathology trainees at Houston Methodist, while also providing fresh content in a landscape with several competing WSI platforms.

Intelligent Construction and Mechanism of Educational Big Data Information for Resource Sharing

The word “sharing” is not unfamiliar to everyone now, but many people do not understand the sharing of educational resources (ER), and the distribution of ER does not seem to be the topic that people are most concerned about. This paper is aimed at conducting research on the construction of educational big data information intelligence based on resource sharing. A parallel association rule mining approach for educational big data is proposed in this research. Now, the educational big data is classified, and then, the data is operated. At the same time, a CcG-based educational information resource sharing platform has also been built for educational resource sharing, which can be used for cloud download and upload functions of cloud computing (CcG) for teaching and educational resource sharing. The experimental results of this paper show that the educational information resource sharing platform in this paper processes about 150 information per second, and its service performance must be better than that of traditional educational platforms.

A Virtual Community for Disability Advocacy: Development of a Searchable Artificial Intelligence-Supported Platform.

BackgroundThe lack of availability of disability data has been identified as a major challenge hindering continuous disability equity monitoring. It is important to develop a platform that enables searching for disability data to expose systemic discrimination and social exclusion, which increase vulnerability to inequitable social conditions.ObjectiveOur project aims to create an accessible and multilingual pilot disability website that structures and integrates data about people with disabilities and provides data for national and international disability advocacy communities. The platform will be endowed with a document upload function with hybrid (automated and manual) paragraph tagging, while the querying function will involve an intelligent natural language search in the supported languages.MethodsWe have designed and implemented a virtual community platform using Wikibase, Semantic Web, machine learning, and web programming tools to enable disability communities to upload and search for disability documents. The platform data model is based on an ontology we have designed following the United Nations Convention on the Rights of Persons with Disabilities (CRPD). The virtual community facilitates the uploading and sharing of validated information, and supports disability rights advocacy by enabling dissemination of knowledge.ResultsUsing health informatics and artificial intelligence techniques (namely Semantic Web, machine learning, and natural language processing techniques), we were able to develop a pilot virtual community that supports disability rights advocacy by facilitating uploading, sharing, and accessing disability data. The system consists of a website on top of a Wikibase (a Semantic Web–based datastore). The virtual community accepts 4 types of users: information producers, information consumers, validators, and administrators. The virtual community enables the uploading of documents, semiautomatic tagging of their paragraphs with meaningful keywords, and validation of the process before uploading the data to the disability Wikibase. Once uploaded, public users (information consumers) can perform a semantic search using an intelligent and multilingual search engine (QAnswer). Further enhancements of the platform are planned.ConclusionsThe platform ontology is flexible and can accommodate advocacy reports and disability policy and legislation from specific jurisdictions, which can be accessed in relation to the CRPD articles. The platform ontology can be expanded to fit international contexts. The virtual community supports information upload and search. Semiautomatic tagging and intelligent multilingual semantic search using natural language are enabled using artificial intelligence techniques, namely Semantic Web, machine learning, and natural language processing.

Improved adaptive gray wolf genetic algorithm for photovoltaic intelligent edge terminal optimal configuration

Photovoltaic (PV) intelligent edge terminals (IETs) integrate data acquisition, processing, storage and upload functions for intelligent operations of PV power stations. However, the cost of installing a PV IET at one PV station is relatively high. In order to achieve the goal of multiple distributed PV stations sharing one PV IET on the premise of ensuring reliability, the paper proposes a method for the optimal configuration of PV IETs. First of all, considering the economy and reliability of optimizing configuration of PV IET, a two-layer optimization model is established. After that, to solve the nonlinearity of the proposed model, an improved adaptive genetic algorithm and gray wolf optimization (IAGA-GWO) is proposed. Finally, through two application cases of PV IETs, it is proved that the optimized configuration method in this paper can reduce the cost under the premise of ensuring the reliability.

SISTEM INFORMASI PUBLIKASI ILMIAH DOSEN DARI GOOGLE SCHOLAR BERBASIS WEB

In the rapid development of industry era, managing jobs from a project have been so conveniently done. Recently, managers who create a project can follow up (to finish and to report) online. Furthermore, developers who receive that task either want to finish and report their task for their manager easily and immediately. The benefit that makes this process much easier is the whole activities can be done with the use of smartphones. In its implementation, managers give tasks for developers without knowing that the developers can do them in time or not. Therefore, this paper proposes the development of a Project Management application where every developer. The development of this application aims to make sure that a project finishes on time. This application can be of a platform to collect proofs of finished projects, as an upload function is available. This function enables users to collect files such as photo, document, or pdf.

APLIKASI MANAJEMEN PROYEK BERBASIS WEB DAN MOBILE

Abstract - In the rapid development of industry era, managing jobs from a project have been so conveniently done. Recently, managers who create a project can follow up (to finish and to report) online. Furthermore, developers who receive that task either want to finish and report their task for their manager easily and immediately. The benefit that makes this process much easier is the whole activities can be done with the use of smartphones. In its implementation, managers give tasks for developers without knowing that the developers can do them in time or not. Therefore, this paper proposes the development of a Project Management application where every developer. The development of this application aims to make sure that a project finishes on time. This application can be of a platform to collect proofs of finished projects, as an upload function is available. This function enables users to collect files such as photo, document, or pdf.

Chainchecker: An application to visualise and explore transmission chains for Ebola virus disease.

2020 saw the continuation of the second largest outbreak of Ebola virus disease (EVD) in history. Determining epidemiological links between cases is a key part of outbreak control. However, due to the large quantity of data and subsequent data entry errors, inconsistencies in potential epidemiological links are difficult to identify. We present chainchecker, an online and offline shiny application which visualises, curates and verifies transmission chain data. The application includes the calculation of exposure windows for individual cases of EVD based on user defined incubation periods and user specified symptom profiles. It has an upload function for viral hemorrhagic fever data and utility for additional entries. This data may then be visualised as a transmission tree with inconsistent links highlighted. Finally, there is utility for cluster analysis and the ability to highlight nosocomial transmission. chainchecker is a R shiny application which has an offline version for use with VHF (viral hemorrhagic fever) databases or linelists. The software is available at https://shiny.dide.imperial.ac.uk/chainchecker which is a web-based application that links to the desktop application available for download and the github repository, https://github.com/imperialebola2018/chainchecker.

Seeing is believing: an innovative approach to post-occupancy evaluation

In recent years, human behavior and the impact on energy use have become an important consideration in energy efficiency programs both in the residential and commercial building sectors. Because of this, great advances, in both energy efficient technologies and behavior-based saving approaches, have been made. Designers are discovering innovative ways to balance technology and humans in the built environment as well as associated energy outcomes. However, oftentimes, there is still a disconnection between the occupant and building interface. This paper presents findings from a mixed-method study, which investigated adaptive comfort opportunities in an academic research building in the Northwest U.S. A pilot survey was implemented to understand occupants’ perceptions of thermal, acoustic, air quality and visual comfort, as well as opportunities for adaptive comfort behaviors (e.g., opening/closing windows). The researchers utilized a novel survey method, which included a unique photo upload functionality, as well as open-ended survey questions and follow-up email interviews, to better understand the disconnection between the occupants and the building interface. An overarching hypothesis and two research questions guided the data analysis. Findings suggested that occupants liked daylight and electric lighting (when they had control), and they enjoyed the adjustable desks. However, acoustical and visual privacy issues were frequent complaints, especially in the open-office environment. This study provides insights about the importance of understanding the building context and human-building interface, especially when implementing behavioral approaches. Helpful lessons learned from the survey are also presented.

My Health Record implementation in private specialist practice.

My Health Record implementation in private specialist practice.

DbCPG: A web resource for cancer predisposition genes.

Cancer predisposition genes (CPGs) are genes in which inherited mutations confer highly or moderately increased risks of developing cancer. Identification of these genes and understanding the biological mechanisms that underlie them is crucial for the prevention, early diagnosis, and optimized management of cancer. Over the past decades, great efforts have been made to identify CPGs through multiple strategies. However, information on these CPGs and their molecular functions is scattered. To address this issue and provide a comprehensive resource for researchers, we developed the Cancer Predisposition Gene Database (dbCPG, Database URL: http://bioinfo.ahu.edu.cn:8080/dbCPG/index.jsp), the first literature-based gene resource for exploring human CPGs. It contains 827 human (724 protein-coding, 23 non-coding, and 80 unknown type genes), 637 rats, and 658 mouse CPGs. Furthermore, data mining was performed to gain insights into the understanding of the CPGs data, including functional annotation, gene prioritization, network analysis of prioritized genes and overlap analysis across multiple cancer types. A user-friendly web interface with multiple browse, search, and upload functions was also developed to facilitate access to the latest information on CPGs. Taken together, the dbCPG database provides a comprehensive data resource for further studies of cancer predisposition genes.

Sweetie: Lightweight Web Authoring Environment

We have developed Simple Web Editor Utilities (Sweetie), a simple lightweight web editor that is suitable for collaborative website authoring. In general, a syntax-highlighting editor helps learners notice mistakes. However, most computer systems in classrooms prohibit installing software. This may reduce the usability and efficiency of the exercise. To solve these issues, we have developed a web editor application that provides syntax highlighting, auto-indent and quick file/image upload functions. We have examined Sweetie in lectures using both local and remote server configurations. We have confirmed that Sweetie can reduce the problems associated with web authoring, particularly for novice learners.

Tailored e-Health services for the dementia care setting: a pilot study of 'eHealthMonitor'.

BackgroundThe European eHealthMonitor project (eHM) developed a user-sensitive and interactive web portal for dementia care: the eHM Dementia Portal (eHM-DP). It aims to provide targeted and personalized support for informal caregivers of people with dementia in a home-based care setting. The objective of the pilot study was to obtain feedback on the eHM-DP from two user perspectives (caregivers and medical professionals), focusing on caregiver empowerment, decision aid, and the perceived benefits of the eHM-DP.MethodsThe study on the eHM-DP was conducted from March 2014 to June 2014. The methodological approach followed a user-participatory design with a total number of 42 participants. The study included caregivers of people with dementia and medical professionals (MPs) from the metropolitan region of Erlangen-Nürnberg (Bavaria, Germany). Study participants were interviewed face-to-face with semi-structured, written interviews.ResultsCaregivers indicated a high degree of perceived support by the eHM-DP and of provided decision aid. In total, 89 % of caregivers and 54 % of MPs would use the eHM-DP if access were provided. The primary benefits participants perceived were the acquisition of individualized information, computerized interaction between caregivers and MPs, empowerment in health-related decisions and comprehensive insights into the progress of the disease. Major recommendations for improving the eHM-DP encompassed: an active search functionality based on predefined terms, the implementation of a chatroom for caregivers, an upload function and alerts for MPs, as well as the overall design.ConclusionsOur study is the first to have provided new insights and results on an interactive and needs-oriented web portal, endeavouring towards empowerment and assistance in decision making for caregivers as well as MPs within the realm of caring for patients with dementia. The acceptance and willingness to use the eHM-DP emphasizes the potential of eHealth services for community-based dementia care settings.Electronic supplementary materialThe online version of this article (doi:10.1186/s12911-015-0182-2) contains supplementary material, which is available to authorized users.

RBEFdata: documenting data exchange and analysis for a collaborative data management platform.

We are witnessing a growing gap separating primary research data from derived data products presented as knowledge in publications. Although journals today more often require the underlying data products used to derive the results as a prerequisite for a publication, the important link to the primary data is lost. However, documenting the postprocessing steps of data linking, the primary data with derived data products has the potential to increase the accuracy and the reproducibility of scientific findings significantly. Here, we introduce the rBEFdata R package as companion to the collaborative data management platform BEFdata. The R package provides programmatic access to features of the platform. It allows to search for data and integrates the search with external thesauri to improve the data discovery. It allows to download and import data and metadata into R for analysis. A batched download is available as well which works along a paper proposal mechanism implemented by BEFdata. This feature of BEFdata allows to group primary data and metadata and streamlines discussions and collaborations revolving around a certain research idea. The upload functionality of the R package in combination with the paper proposal mechanism of the portal allows to attach derived data products and scripts directly from R, thus addressing major aspects of documenting data postprocessing. We present the core features of the rBEFdata R package along an ecological analysis example and further discuss the potential of postprocessing documentation for data, linking primary data with derived data products and knowledge.

ElVisWeb: An interactive web‐application for the visualzation of ERG recordings based on the Electrophysiology of Vision Markup Language

AbstractPurpose Recently, we proposed a standard for the exchange of electrophysiological recordings of vision, called Electrophysiology of Vision Markup Language (ElVisML). Here we present a Web 2.0 application, ElVisWeb, for visualizing data encoded in ElVisML. It intends to facilitate the exchange of recordings on mailing lists like CEVNet in a standardized way and to allow for sharing of data along with published articles.Methods Main goals of ElVisWeb were easy usage and deployment. It is developed completely in JavaScript and as web application it does not require any installation on the client. It uses the single‐page‐interface paradigm (SPI): An ElVisML‐file can be pasted into a text‐field and a graphical representation of it is compiled. ElVisWeb can be deployed on any web‐server or executed locally. For convenience, there is an upload functionality, which requires PHP on the server, however. ElVisWeb leverages open source JavaScript libraries for XML‐processing (http://dev.abiss.gr/sarissa) and charts generation (http://www.jqplot.com).Results A Web 2.0 application for visualization of electrophysiological recordings of vision, ElVisWeb, was successfully implemented. It is designed for easy usage and deployment. Recordings encoded in ElVisML can be visualized with no additional software installation.Conclusion ElVisML is a standardized way for exchanging electrophysiological data. ElVisWeb is a first step towards an open ecosystem around ElVisML. It provides chart generation for recordings and may be used in mailing lists like CEVNet or for sharing data along with published articles. It is also ready to be used on mobile devices.