“How’s Shelby the Turtle today?” Strengths and Weaknesses of Interactive Animal-Tracking Maps for Environmental Communication

2021 ◽  
Author(s):  
Matt Ziegler ◽  
Michael Quinlan ◽  
Zage Strassberg-Phillips ◽  
Manasi Shah ◽  
Lauren Vreeken ◽  
...  
Keyword(s):  
Environmental Communication ◽  
Animal Tracking

Pharmacology Issues Related to Dementia Syndrome of Depression in Elderly Residents of Long-Term Care Settings

2015 ◽  
Vol 25 (2) ◽  
pp. 61-69
Author(s):  
Angel L. Ball ◽  
Adina S. Gray
Keyword(s):  
Depressive Symptoms ◽  
The Elderly ◽  
Environmental Communication ◽  
Pharmacological Intervention ◽  
Team Approach ◽  
Discussion Paper ◽  
Term Care ◽  
Anticholinergic Medications ◽  
Inappropriate Treatment ◽  
Dementia Syndrome

Pharmacological intervention for depressive symptoms in institutionalized elderly is higher than the population average. Among the patients on such medications are those with a puzzling mix of symptoms, diagnosed as “dementia syndrome of depression,” formerly termed “pseudodementia”. Cognitive-communicative changes, potentially due to medications, complicate the diagnosis even further. This discussion paper reviews the history of the terminology of “pseudodementia,” and examines the pharmacology given as treatment for depressive symptoms in the elderly population that can affect cognition and communication. Clinicians can reduce the risk of misdiagnosis or inappropriate treatment by having an awareness of potential side effects, including decreased attention, memory, and reasoning capacities, particularly due to some anticholinergic medications. A team approach to care should include a cohesive effort directed at caution against over-medication, informed management of polypharmacology, enhancement of environmental/communication supports and quality of life, and recognizing the typical nature of some depressive signs in elderly institutionalized individuals.

Categorizing Professionals’ Perspectives on Environmental Communication with Implications for Graduate Education

2021 ◽  
pp. 1-18
Author(s):  
Karen L. Akerlof ◽  
Taryn Bromser-Kloeden ◽  
Kristin Timm ◽  
Katherine E. Rowan ◽  
James L. Olds ◽  
...  
Keyword(s):  
Graduate Education ◽  
Environmental Communication

scholarly journals BonZeb: open-source, modular software tools for high-resolution zebrafish tracking and analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nicholas C. Guilbeault ◽  
Jordan Guerguiev ◽  
Michael Martin ◽  
Isabelle Tate ◽  
Tod R. Thiele
Keyword(s):  
High Resolution ◽  
Open Loop ◽  
Ease Of Use ◽  
Neural Mechanisms ◽  
Animal Tracking ◽  
Larval Zebrafish ◽  
Optogenetic Stimulation ◽  
Modular Software ◽  
Behavioral Tracking ◽  
Experimental Protocols

AbstractWe present BonZeb—a suite of modular Bonsai packages which allow high-resolution zebrafish tracking with dynamic visual feedback. Bonsai is an increasingly popular software platform that is accelerating the standardization of experimental protocols within the neurosciences due to its speed, flexibility, and minimal programming overhead. BonZeb can be implemented into novel and existing Bonsai workflows for online behavioral tracking and offline tracking with batch processing. We demonstrate that BonZeb can run a variety of experimental configurations used for gaining insights into the neural mechanisms of zebrafish behavior. BonZeb supports head-fixed closed-loop and free-swimming virtual open-loop assays as well as multi-animal tracking, optogenetic stimulation, and calcium imaging during behavior. The combined performance, ease of use and versatility of BonZeb opens new experimental avenues for researchers seeking high-resolution behavioral tracking of larval zebrafish.

Deep mapping for environmental communication design

2021 ◽  
Vol 9 (1) ◽  
pp. 4-19
Author(s):  
Shannon Butts ◽  
Madison Jones
Keyword(s):  
Climate Change ◽  
Local Community ◽  
Environmental Communication ◽  
Design Strategies ◽  
Environmental Advocacy ◽  
Locative Media ◽  
Digital Maps ◽  
Communication Design ◽  
Prompt Action ◽  
Share Information

This article shares lessons from designing <u>EcoTour</u>, a multimedia environmental advocacy project in a state park, and it describes theoretical, practical, and pedagogical connections between locative media and community-engaged design. While maps can help share information about places, people, and change, they also limit how we visualize complex stories. Using deep mapping, and blending augmented reality with digital maps, EcoTour helps people understand big problems like climate change within the context of their local community. This article demonstrates the rhetorical potential of community-engaged design strategies to affect users, prompt action, and create more democratic discourse in environmental communication.

scholarly journals Analysis of local habitat selection and large-scale attraction/avoidance based on animal tracking data: is there a single best method?

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Moritz Mercker ◽  
Philipp Schwemmer ◽  
Verena Peschko ◽  
Leonie Enners ◽  
Stefan Garthe
Keyword(s):  
Habitat Selection ◽  
Large Scale ◽  
Error Rates ◽  
Process Models ◽  
Statistical Hypothesis ◽  
Type I ◽  
Tracking Data ◽  
Selection Models ◽  
Animal Tracking ◽  
Step Selection

Abstract Background New wildlife telemetry and tracking technologies have become available in the last decade, leading to a large increase in the volume and resolution of animal tracking data. These technical developments have been accompanied by various statistical tools aimed at analysing the data obtained by these methods. Methods We used simulated habitat and tracking data to compare some of the different statistical methods frequently used to infer local resource selection and large-scale attraction/avoidance from tracking data. Notably, we compared spatial logistic regression models (SLRMs), spatio-temporal point process models (ST-PPMs), step selection models (SSMs), and integrated step selection models (iSSMs) and their interplay with habitat and animal movement properties in terms of statistical hypothesis testing. Results We demonstrated that only iSSMs and ST-PPMs showed nominal type I error rates in all studied cases, whereas SSMs may slightly and SLRMs may frequently and strongly exceed these levels. iSSMs appeared to have on average a more robust and higher statistical power than ST-PPMs. Conclusions Based on our results, we recommend the use of iSSMs to infer habitat selection or large-scale attraction/avoidance from animal tracking data. Further advantages over other approaches include short computation times, predictive capacity, and the possibility of deriving mechanistic movement models.

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