Vernal Pool Database

Due to the rapid loss of vernal pools, and the insufficient information shared in public, a medium to encourage participation and to enhance collaboration of the vernal pool community has become very important. In order to create such a medium, this project created a web application with the back-end database by using Ruby on Rails framework and MySQL. It also utilized Ajax technology to create an interactive environment for the users. The accomplishment of this project is great service to the vernal pool community. The created application allows the community to contribute and to share their resources, and lets the participants to search and to learn more about vernal pools

Overview of the interactive task in BioCreative V

Fully automated text mining (TM) systems promote efficient literature searching, retrieval, and review but are not sufficient to produce ready-to-consume curated documents. These systems are not meant to replace biocurators, but instead to assist them in one or more literature curation steps. To do so, the user interface is an important aspect that needs to be considered for tool adoption. The BioCreative Interactive task (IAT) is a track designed for exploring user-system interactions, promoting development of useful TM tools, and providing a communication channel between the biocuration and the TM communities. In BioCreative V, the IAT track followed a format similar to previous interactive tracks, where the utility and usability of TM tools, as well as the generation of use cases, have been the focal points. The proposed curation tasks are user-centric and formally evaluated by biocurators. In BioCreative V IAT, seven TM systems and 43 biocurators participated. Two levels of user participation were offered to broaden curator involvement and obtain more feedback on usability aspects. The full level participation involved training on the system, curation of a set of documents with and without TM assistance, tracking of time-on-task, and completion of a user survey. The partial level participation was designed to focus on usability aspects of the interface and not the performance per se. In this case, biocurators navigated the system by performing pre-designed tasks and then were asked whether they were able to achieve the task and the level of difficulty in completing the task. In this manuscript, we describe the development of the interactive task, from planning to execution and discuss major findings for the systems tested

Overview of the interactive task in BioCreative V

Fully automated text mining (TM) systems promote efficient literature searching, retrieval, and review but are not sufficient to produce ready-to-consume curated documents. These systems are not meant to replace biocurators, but instead to assist them in one or more literature curation steps. To do so, the user interface is an important aspect that needs to be considered for tool adoption. The BioCreative Interactive task (IAT) is a track designed for exploring user-system interactions, promoting development of useful TM tools, and providing a communication channel between the biocuration and the TM communities. In BioCreative V, the IAT track followed a format similar to previous interactive tracks, where the utility and usability of TM tools, as well as the generation of use cases, have been the focal points. The proposed curation tasks are user-centric and formally evaluated by biocurators. In BioCreative V IAT, seven TM systems and 43 biocurators participated. Two levels of user participation were offered to broaden curator involvement and obtain more feedback on usability aspects. The full level participation involved training on the system, curation of a set of documents with and without TM assistance, tracking of time-on-task, and completion of a user survey. The partial level participation was designed to focus on usability aspects of the interface and not the performance per se. In this case, biocurators navigated the system by performing pre-designed tasks and then were asked whether they were able to achieve the task and the level of difficulty in completing the task. In this manuscript, we describe the development of the interactive task, from planning to execution and discuss major findings for the systems tested

Designing AI Experiences: Boundary Representations, Collaborative Processes, and Data Tools

Artificial Intelligence (AI) has transformed our everyday interactions with technology through automation, intelligence augmentation, and human-machine partnership. Nevertheless, we regularly encounter undesirable and often frustrating experiences due to AI. A fundamental challenge is that existing software practices for coordinating system and experience designs fall short when creating AI for diverse human needs, i.e., ``human-centered AI'' or HAI. ``AI-first'' development workflows allow engineers to first develop the AI components, and then user experience (UX) designers create end-user experiences around the AI's capabilities. Consequently, engineers encounter end-user blindness when making critical decisions about AI training data needs, implementation logic, behavior, and evaluation. In the conventional ``UX-first'' process, UX designers lack the needed technical understanding of AI capabilities (technological blindness) that limits their ability to shape system design from the ground up. Human-AI design guidelines have been offered to help but neither describe nor prescribe ways to bridge the gaps in needed expertise in creating HAI. In this dissertation, I investigate collaboration approaches between designers and engineers to operationalize the vision for HAI as technology inspired by human intelligence that augments human abilities while addressing societal needs. In a series of studies combining technical HCI research with qualitative studies of AI production in practice, I contribute (1) an approach to software development that blurs rigid design-engineering boundaries, (2) a process model for co-designing AI experiences, and (3) new methods and tools to empower designers by making AI accessible to UX designers. Key findings from interviews with industry practitioners include the need for ``leaky'' abstractions shared between UX and AI designers. Because modular development and separation of concerns fail with HAI design, leaky abstractions afford collaboration across expertise boundaries and support human-centered design solutions through vertical prototyping and constant evaluation. Further, by observing how designers and engineers collaborate on HAI design in an in-lab study, I highlight the role of design `probes' with user data to establish common ground between AI system and UX design specifications, providing a critical tool for shaping HAI design. Finally, I offer two design methods and tool implementations --- Data-Assisted Affinity Diagramming and Model Informed Prototyping --- for incorporating end-user data into HAI design. HAI is necessarily a multidisciplinary endeavor, and human data (in multiple forms) is the backbone of AI systems. My dissertation contributions inform how stakeholders with differing expertise can collaboratively design AI experiences by reducing friction across expertise boundaries and maintaining agency within team roles. The data-driven methods and tools I created provide direct support for software teams to tackle the novel challenges of designing with data. Finally, this dissertation offers guidance for imagining future design tools for human-centered systems that are accessible to diverse stakeholders.PHDInformationUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/169917/1/harihars_1.pd

SESAR Solution 08.01 Validation Plan (VALP) for V2 - Part I; D2.1.040

Dissemination level = CO confidentialThis validation plan describes the V2 validation activities planned for solution 1 of the PJ08 Advanced Airspace Management. The aim of the planned validation activities in Wave 1 is to complete V2 maturity level of the four Operational Improvements as foreseen in the Transition Validation Strategy [22]: • AOM-0208- B • AOM-0805 • AOM-0809A & AOM-0809-B • CM-0102- B Model based, fast time simulations and real time simulations are planned to address stakeholders’ needs and assess the KPAs. This document is part of a project that has received funding from the SESAR Joint Undertaking under grant agreement No 731796 under European Union’s Horizon 2020 research and innovation programme.SESAR Solution 08.01 Validation Plan (VALP) for V2 - Part I; D2.1.040acceptedVersio

Oracle warehouse management system-security enhancements

Estágio realizado na Wipro Retail e orientado pelo Doutora Ana Paula Barroso OliveiraTese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 200

State of Maine Information Technology Plans, 2000

https://digitalmaine.com/oit_docs/1022/thumbnail.jp

Aviation System Analysis Capability Executive Assistant Design

In this technical document, we describe the design developed for the Aviation System Analysis Capability (ASAC) Executive Assistant (EA) Proof of Concept (POC). We describe the genesis and role of the ASAC system, discuss the objectives of the ASAC system and provide an overview of components and models within the ASAC system, and describe the design process and the results of the ASAC EA POC system design. We also describe the evaluation process and results for applicable COTS software. The document has six chapters, a bibliography, three appendices and one attachment

Developing Augmentative and Alternative Communication Systems in Languages Other Than English: A Scoping Review

Introduction: Access to augmentative and alternative communication (AAC) systems in languages other than English and multilingual AAC systems remains limited for many people with complex communication needs, despite a growing interest in this field, and an acknowledged need for culturally responsive AAC practice. Purpose: The purpose of this scoping review was to identify published research that has reported on the development of components or whole AAC systems in languages other than English, and the linguistic and cultural factors that influenced research methods and AAC system development. Method: Nine databases were systematically searched for published research that presented development of components or whole AAC systems in languages other than English. The Mixed Methods Appraisal Tool was used to assess the quality of studies. Charted data from studies included journal and publication date, research team, language of AAC system, aims of the study, study methodologies, study participants, and type of AAC systems developed. An analytical framework was developed to identify the cultural and linguistic factors that influenced research methods and or AAC system outcomes. Results: A total of 22 studies were included (13 qualitative, one quantitative nonrandomized, six quantitative descriptive, and two mixed-methods studies). Overall quality of studies was high. Some qualitative studies were of lower quality due to limited analysis or interpretation of results. Linguistic factors were extensively reported in the existing literature, whereas cultural factors were rarely explicitly reported. Conclusion: Factors contributing to lack of reporting of cultural considerations are posited with suggestions for future research