Plankton Ecology and Productivity in Jamaican Waters with New and Unique Applications

Unique applications of plankton ecology and productivity in Jamaican waters are presented. While traditional indices were inadequate descriptors of mangrove lagoon water quality, planktonic indices (total Chlorophyll a, zooplankton groups and species) were more reliable. Phytoplankton biomass was used to indicate a longitudinal gradient along the Hellshire Coastline, identifying non-point sources of enrichment, and movement of water masses in the absence of expensive Eulerian current meters. Along that same coast, mean primary production, determined by 14C techniques, confirmed a gradient from the eutrophic Kingston Harbour (21.1 g C m−2year−1) to the oligotrophic control site (0.52 g C m−2 year−1). Maximum inshore station values (36.75–18.39 g C m−2 year−1) were more than 20 times greater than offshore and exceeded Harbour values, confirming non-point sources and localized mechanisms as important inshore sources of eutrophication. The novel use of Ecopath with Ecosim (EwE) software to model trophic flows within planktonic communities was done in two bays. For Discovery Bay, on Jamaica’s north coast, the model indicated a developing ecosystem with open mineral cycles and poor nutrient conservation while in Foul and Folly Bays on the southeastern coast the model indicated greater resilience and ability to recover from perturbations. These applications have facilitated informed management decisions for sustainable use in Jamaican coastal ecosystems

Automatic Detection of Seizures with Applications

There are an estimated two million people with epilepsy in the United States. Many of these people do not respond to anti-epileptic drug therapy. Two devices can be developed to assist in the treatment of epilepsy. The first is a microcomputer-based system designed to process massive amounts of electroencephalogram (EEG) data collected during long-term monitoring of patients for the purpose of diagnosing seizures, assessing the effectiveness of medical therapy, or selecting patients for epilepsy surgery. Such a device would select and display important EEG events. Currently many such events are missed. A second device could be implanted and would detect seizures and initiate therapy. Both of these devices require a reliable seizure detection algorithm. A new algorithm is described. It is believed to represent an improvement over existing seizure detection algorithms because better signal features were selected and better standardization methods were used

Data (Mis) Visualization and its Impact on Academic Advancement and Public Understanding

Cultures across the globe are increasingly visual—whether this be due to the popularity of video streaming, advances in the graphic arts, or the rise of accessible software, apps, and other technologies. In fact, while globalization endures as a prominent force, it seems that the rather universal languages of images and numbers do as well. Visualizations—in particular data visualizations—are valued for their efficiency in communicating messages and their efficacy in spurring emotion and instigating action. This gives such images great power. Although all media consumers must ultimately be accountable for their own ability to interact responsibly with the visual media, educators have a duty to prepare students in higher education for the unique burdens and challenges that accompany their disciplines. However, instructors rarely focus on visual literacy when it comes to the learning outcomes of many programs even when source evaluation and the use of reliable research is prioritized and expected. According to the Association of College and Research Libraries: Visual literacy is a set of abilities that enables an individual to effectively find, interpret, evaluate, use, and create images and visual media. . . . A visually literate individual is both a critical consumer of visual media and a competent contributor to a body of shared knowledge and culture. When visual literacy is covered in the curriculum, there is a tendency to emphasize the state-of-the-art technologies, artistic process, and proper methods that accompany the creation of such imagery. Yet, the skill set of abilities listed in this definition is more heavily weighted toward the consumptive aspects rather than the productive. To better equip our students for both their professional and personal lives after academia, it is imperative that we give them the tools and skills to critically read data visualizations This panel will address questions regarding the implications that various forms of data and information visualization have on the pedagogy, research, culture, and public face of their respective academic fields: Dr. Dale Edwards is the Program Coordinator and a Professor of Journalism & Media Studies at the University of Northern Colorado. The practices of journalism and the mass media have perhaps the furthest public reach and highest influence when it comes to the effects of visual information on the public. Appropriately preparing and balancing the responsibilities of the producers and consumers of this content is a longstanding problem with new dilemmas and complications. Dr. Rob Reinsvold is a Professor in the School of Biological Sciences and the Coordinator for the Biology Secondary Education Program at the University of Northern Colorado. The proliferation of large amounts of data in the sciences has led to concerns of misinformation as seen with the recent climate change skeptics and flat earth theorists. Dr. Reinsvold strives to develop data-literate science educators that will in turn teach others how to effectively access, interpret, and communicate data. Maggie Shawcross is an Assistant Professor and the Health Sciences Librarian at the University of Northern Colorado. Maggie has previously worked as a Consumer Health Librarian and a Public Librarian focusing on health programming and health literacy. She is keenly aware of how imagery affects the work of healthcare professionals and consumers, and she instructs students on how to use reliable and credible resources in the ever-changing environment of health information. Jingying Crystal Zhen is a graduate student studying Digital Media at the University of Northern Colorado and Computer Graphics at Shandong Normal University. Crystal’s work focuses on digital illustration, and she is interested in how data visualization can help data be communicated more clearly. In discussing this topic from the vantage point of their respective disciplines, participants offers specific issues, experiences, and suggestions that help define the current context of visual literacy and illuminate a path forward for responding to this modern state of affairs

Field testing a novel high residence positioning system for monitoring the fine‐scale movements of aquatic organisms

1. Acoustic telemetry is an important tool for studying the behaviour of aquatic organisms in the wild. 2. VEMCO high residence (HR) tags and receivers are a recent introduction in the field of acoustic telemetry and can be paired with existing algorithms (e.g. VEMCO positioning system [VPS]) to obtain high‐resolution two‐dimensional positioning data. 3. Here, we present results of the first documented field test of a VPS composed of HR receivers (hereafter, HR‐VPS). We performed a series of stationary and moving trials with HR tags (mean HR transmission period = 1.5 s) to evaluate the precision, accuracy and temporal capabilities of this positioning technology. In addition, we present a sample of data obtained for five European perch Perca fluviatilis implanted with HR tags (mean HR transmission period = 4 s) to illustrate how this technology can estimate the fine‐scale behaviour of aquatic animals. 4. Accuracy and precision estimates (median [5th–95th percentile]) of HR‐VPS positions for all stationary trials were 5.6 m (4.2–10.8 m) and 0.1 m (0.02–0.07 m), respectively, and depended on the location of tags within the receiver array. In moving tests, tracks generated by HR‐VPS closely mimicked those produced by a handheld GPS held over the tag, but these differed in location by an average of ≈9 m. 5. We found that estimates of animal speed and distance travelled for perch declined when positional data for acoustically tagged perch were thinned to mimic longer transmission periods. These data also revealed a trade‐off between capturing real nonlinear animal movements and the inclusion of positioning error. 6. Our results suggested that HR‐VPS can provide more representative estimates of movement metrics and offer an advancement for studying fine‐scale movements of aquatic organisms, but high‐precision survey techniques may be needed to test these systems

Cross-Recurrence Quantification Analysis of Categorical and Continuous Time Series: an R package

This paper describes the R package crqa to perform cross-recurrence quantification analysis of two time series of either a categorical or continuous nature. Streams of behavioral information, from eye movements to linguistic elements, unfold over time. When two people interact, such as in conversation, they often adapt to each other, leading these behavioral levels to exhibit recurrent states. In dialogue, for example, interlocutors adapt to each other by exchanging interactive cues: smiles, nods, gestures, choice of words, and so on. In order for us to capture closely the goings-on of dynamic interaction, and uncover the extent of coupling between two individuals, we need to quantify how much recurrence is taking place at these levels. Methods available in crqa would allow researchers in cognitive science to pose such questions as how much are two people recurrent at some level of analysis, what is the characteristic lag time for one person to maximally match another, or whether one person is leading another. First, we set the theoretical ground to understand the difference between 'correlation' and 'co-visitation' when comparing two time series, using an aggregative or cross-recurrence approach. Then, we describe more formally the principles of cross-recurrence, and show with the current package how to carry out analyses applying them. We end the paper by comparing computational efficiency, and results' consistency, of crqa R package, with the benchmark MATLAB toolbox crptoolbox. We show perfect comparability between the two libraries on both levels

Video: Adding to Your Case: Examining and Cross Examining Expert Witnesses

Learn skills for using expert witness testimony at trial: Developing strategy for selecting topics and order of presentation Using proper form of questioning on direct and cross Understanding rules of evidence, procedure, and ethics Two role play demonstrations help you learn technique