Update on the Fishes of Texas Project

Poster presentation presented at the 2017 Texas Academy of Sciences annual meeting in Belton, Texas on March 4, 2017.The Fishes of Texas project (www.fishesoftexas.org), originating in 2006, remains the most reliable (quality controlled) and data rich site for acquiring occurrence data for Texas fishes, holding over 124,000 records from 42 institutions. Among many discoveries, the project is responsible for detecting at least 3 freshwater species not previously known from the state. We continue making improvements, but substantial updates so far have been onerous for our developers for various reasons. A recent major update reduces coding redundancies, points the website to a new massively restructured and more fully normalized PostgreSQL database (was MySQL), and places the code in a versioning environment. These changes have little immediate effect on user experience, but will greatly accelerate development. PostgreSQL allows for complex spatial queries which will allow users to quickly map occurrence data alongside many more political/environmental layers than currently possible. While our database/web designers have been implementing these changes and fixing bugs etc., we’ve been preparing resources for them to integrate into the website. Some highlights to expect: 1 new updates to the state Species of Greatest Concern list; 2 expert opinion-determined nativity spatial layers for all freshwater fishes displaying in our new mapping system; 3 dynamic statistical summaries; 4 new data types from the literature (>14,900 records), citizen science (>4,300), anglers (>37,000), and agency databases (>1,000,000); 5 new museum records, many derived from our gap sampling (~19,000, 4 museums); 6 more specimen examinations (>400) and photographs (1000); 7 document archive with “smart” text search tools (currently in beta testing using TPWD fisheries reports). So be patient and keep your eyes open for updates.University of Texas at Austin, Texas Parks and Wildlife Department, Texas Commission on Environmental Quality, U.S. Department of the Interior,Integrative Biolog

Optimal Constrained Wireless Emergency Network Antennae Placement

With increasing number of mobile devices, newly introduced smart devices, and the Internet of things (IoT) sensors, the current microwave frequency spectrum is getting rapidly congested. The obvious solution to this frequency spectrum congestion is to use millimeter wave spectrum ranging from 6 GHz to 300 GHz. With the use of millimeter waves, we can enjoy very high communication speeds and very low latency. But, this technology also introduces some challenges that we hardly faced before. The most important one among these challenges is the Line of Sight (LOS) requirement. In the emergent concept of smart cities, the wireless emergency network is set to use millimeter waves. We have worked on the problem of efficiently finding a line of sight for such wireless emergency network antennae in minimal time. We devised two algorithms, Sequential Line of Sight (SLOS) and Tiled Line of Sight (TLOS), both perform better than traditional algorithms in terms of execution time. The tiled line of sight algorithm reduces the time required for a single line of sight query from 200 ms for traditional algorithms to mere 1.7 ms on average

A Developers Bill of Rights: What Open Source Developers Want in a Software License

In this paper, we study open source developers' perspectives on the nature and structure of software licenses as well as the processes through which these licenses are designed. Recent history has shown that software licensing approaches are critical to the dynamics of the software industry and the open source ecosystem, and thus of interest to the many policy makers and practitioners that follow this part of the global economy. The study is timely, since it informs the debate on the revision of the GPL license, one of the most popular licenses in use. This revision has the potential to shape the software industry for many years to come; hence it is important that the governance process for this revision reflect the needs of the broader software community. Our study employed structured interviews to capture data on open source developers' opinions about software licenses. We focused on how license choices impact the relationship that exists between open source and proprietary software. Our findings reveal that developers are primarily interested in flexibility and choice when considering a licensing approach. Most developers we interviewed used open source licenses to tap into the open source development approach. They chose this option for flexibility in developing a great product, without necessarily espousing any particular philosophy about how the software should be distributed. Developers also generally valued flexibility in the choice of business model for distributing software. The actions of the Free Software Foundation, which is revising the GPL, appear not to reflect the opinions of the broader community, but the agenda of a small minority that may represent as little as 10% of the open source developer community. Sharing data on the needs and perceived rights of developers, both open source and proprietary, will help the software community, industry experts and policymakers to champion a more flexible and responsive approach to sharing and developing software. Policy makers should work to preserve what has made the software ecosystem successful: innovation, community input and involvement, and developer freedom of choice.

Licensing and Business Models

License affects software companies’ business activities. While proprietary software vendors create custom licenses, open source companies have less flexibility. The Open Source Initiative (OSI) defines a list of 72 licenses as open source (“OSI approved”). For a project to follow open source licensing, it has to pick licenses from this set. Logically, we expect that an open source company defines its business model around the license that it selects. Thus, we can assume that business model decisions follow license choice. In our research we find that in some cases open source companies remove these license constraints for business reasons. We observed cases of open source companies moving from one OSI-approved license to another or companies innovating by adding additional terms. In all these cases, the decision of change is based on the license being a poor fit with their business goals. Not all open source companies are entitled to change the license because this option is available only to companies that own intellectual property. If they do not, they can try to reshape their business model, but that remains a suboptimal option. Whether cognizant of it or not, organizations are implicitly choosing a business model when they select a license. Therefore, it is very important to address licensing and business model decisions as one system instead of a disjointed two-step process. For this purpose we introduce (1) an evolutionary model where license selection and business model impact each other and (2) a taxonomy that addresses both licensing and business models. Our approach helps practitioners include revenue considerations in the licensing choice and researchers to more accurately study the antecedents and consequences of license choice.

LOCATION MODELS FOR MAIN INDUSTRIES AT MACRO-GEOGRAPHICAL LEVEL USING OPEN GEOSPATIAL DATA AND SOFTWARE: CASE OF ROMANIAN COUNTIES

This paper reveals the mathematical models to explain the location of industries within macro-geographical areas (Romania’s counties), by means of GIS (Geographical Information System) metrics. While the explained variable (output) was a composite indicator equally weighting employment and turnover quotients computed from statistical data, the explaining variables (inputs) were a set of GIS metrics, computed on geospatial open data, using open GIS software. The preferred method for modelling was the multiple linear regression; different nonlinear functions were tested to provide the best fit. The GIS metrics are an alternative to statistical data, having the advantage of being procured and updated easier by the automatic import of the GIS database. For all industries, the study delivered relevant models. This study is part of a spatial decision support system (SDSS) for the location of enterprises, including both a macro-geographical layer and a micro-geographical layer of factors. This paper’s results can be used independently (the micro-geographical layer was addressed by a previous study). The macro-geographical and the micro-geographical layer could share the 100% weight according to the desired level of location. For example, a governmental organization could grant all weight to the macro layer, while an enterprise could weight more the micro layer

ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data.

Objectives:Electronic health record (EHR) data are increasingly used for biomedical discoveries. The nature of the data, however, requires expertise in both data science and EHR structure. The Observational Medical Out-comes Partnership (OMOP) common data model (CDM) standardizes the language and structure of EHR data to promote interoperability of EHR data for research. While the OMOP CDM is valuable and more attuned to research purposes, it still requires extensive domain knowledge to utilize effectively, potentially limiting more widespread adoption of EHR data for research and quality improvement. Materials and methods:We have created ROMOP: an R package for direct interfacing with EHR data in the OMOP CDM format. Results:ROMOP streamlines typical EHR-related data processes. Its functions include exploration of data types, extraction and summarization of patient clinical and demographic data, and patient searches using any CDM vocabulary concept. Conclusion:ROMOP is freely available under the Massachusetts Institute of Technology (MIT) license and can be obtained from GitHub (http://github.com/BenGlicksberg/ROMOP). We detail instructions for setup and use in the Supplementary Materials. Additionally, we provide a public sandbox server containing synthesized clinical data for users to explore OMOP data and ROMOP (http://romop.ucsf.edu)

Dwarna : a blockchain solution for dynamic consent in biobanking

Dynamic consent aims to empower research partners and facilitate active participation in the research process. Used within the context of biobanking, it gives individuals access to information and control to determine how and where their biospecimens and data should be used. We present Dwarna—a web portal for ‘dynamic consent’ that acts as a hub connecting the different stakeholders of the Malta Biobank: biobank managers, researchers, research partners, and the general public. The portal stores research partners’ consent in a blockchain to create an immutable audit trail of research partners’ consent changes. Dwarna’s structure also presents a solution to the European Union’s General Data Protection Regulation’s right to erasure—a right that is seemingly incompatible with the blockchain model. Dwarna’s transparent structure increases trustworthiness in the biobanking process by giving research partners more control over which research studies they participate in, by facilitating the withdrawal of consent and by making it possible to request that the biospecimen and associated data are destroyed.peer-reviewe

Digistylus - An Online Information System For Palaeography Teaching and Research

This paper starts by describing the experiences the authors recently had with online information systems for teaching and research in palaeography. The study also considers the differences in the students' access to the site "Teaching Materials for Latin Palaeography" when they attended the palaeography courses, as it was usually used in the lectures by one of the authors. With the increase in the quantity of plates (reproducing pages or parts of them from medieval manuscripts) and texts (concerning the analysis of the writing styles, the cataloguing, the history of manuscripts, the codicology and other important topics in the palaeography's scientific debate), it became clear that there was a difference in the way students approached those materials: when students first used the systems in the academic year 2001/2002, they read all the documents and used all the plates; more recently, with the quantity of materials on the site considerably increased, the students wait for the professor's suggestions and evidence uncertainties and difficulties when autonomously looking for a document or a plate. As a consequence, the online information system Digistylus has been planned and is going to be created for the management of the data in the site "Teaching Materials". The main consequence of the above observations has been the detection of a new knowledge construction paradigm and the development of new research procedures in palaeography