Using Modern Digital Photography Tools to Guide Management Decisions on Forested Land

Forestland management depends on assessing changes that occur over time. Long-term photo point monitoring is a low-cost method for documenting these changes. Using forestry as an example, this article highlights the idea that long-term photo point monitoring can be used to improve many types of land management decision making. Guidance on establishing photo points in the field and taking and cataloging images is presented. By implementing long-term photo point monitoring, landowners can document land management successes, and Extension professionals can use the resulting images to relay information on proper planning and management

Humble Machines: Attending to the Underappreciated Costs of Misplaced Distrust

It is curious that AI increasingly outperforms human decision makers, yet much of the public distrusts AI to make decisions affecting their lives. In this paper we explore a novel theory that may explain one reason for this. We propose that public distrust of AI is a moral consequence of designing systems that prioritize reduction of costs of false positives over less tangible costs of false negatives. We show that such systems, which we characterize as 'distrustful', are more likely to miscategorize trustworthy individuals, with cascading consequences to both those individuals and the overall human-AI trust relationship. Ultimately, we argue that public distrust of AI stems from well-founded concern about the potential of being miscategorized. We propose that restoring public trust in AI will require that systems are designed to embody a stance of 'humble trust', whereby the moral costs of the misplaced distrust associated with false negatives is weighted appropriately during development and use

Ecological Factors Influencing Wild Pig Damage to Planted Pine and Hardwood Seedlings

Expanding wild pig (Sus scrofa) populations across the southern United States has the potential to impact longleaf pine (Pinus palustris) restoration efforts. The depredation of planted pine seedlings is the most widespread and economically costly damage caused by wild pigs in forest plantations. A better understanding of the ecological factors affecting depredation rates will allow managers to implement best management practices to reduce seedling mortality from wild pigs at their most vulnerable stage of growth. From March 2016 to March 2017, we evaluated wild pig preferences for planted pine and hardwood species at a 34.4-ha cutover site and 4.7-ha pecan (Carya illinoinensis) orchard in Bullock County, Alabama, USA. Wild pig damage differed for the 5 seedling species tested, with longleaf and cherrybark oak (Quercus pagodaefolia) being the most preferred. Ninety one percent of seedlings destroyed by wild pigs were from the cutover site. Wild pigs at the cutover site experienced substantially more hunting pressure compared to those at the other site. We believe the debris scattering practices of the logging crew following a clearcut created a desirable foraging environment that led to the initial discovery of the seedlings. The short-term protection and minimization of seedling depredation in young forest plantations may be the most realistic solution to reducing the impact of wild pigs on forestry and timber resources

A Sparse signal representation-based approach to image formation and anisotropy determination in wide-angle radar

We consider the problem of jointly forming images and determining anisotropy from wide-angle synthetic aperture radar (SAR) measurements. Conventional SAR image formation techniques assume isotropic scattering, which is not valid with wide-angle apertures. We present a method based on a sparse representation of aspect-dependent scattering with an overcomplete dictionary composed of elements with varying levels of angular persistence. Solved as an inverse problem, the result is a complex-valued, aspect-dependent response for each spatial location in a scene. Our formulation leads to an optimization problem for which we develop a tractable, graph-structured approximate algorithm. We present experimental results on realistic electromagnetic simulations demonstrating the effectiveness of the proposed approach

The Global academic research organization network: Data sharing to cure diseases and enable learning health systems.

Introduction:Global data sharing is essential. This is the premise of the Academic Research Organization (ARO) Council, which was initiated in Japan in 2013 and has since been expanding throughout Asia and into Europe and the United States. The volume of data is growing exponentially, providing not only challenges but also the clear opportunity to understand and treat diseases in ways not previously considered. Harnessing the knowledge within the data in a successful way can provide researchers and clinicians with new ideas for therapies while avoiding repeats of failed experiments. This knowledge transfer from research into clinical care is at the heart of a learning health system. Methods:The ARO Council wishes to form a worldwide complementary system for the benefit of all patients and investigators, catalyzing more efficient and innovative medical research processes. Thus, they have organized Global ARO Network Workshops to bring interested parties together, focusing on the aspects necessary to make such a global effort successful. One such workshop was held in Austin, Texas, in November 2017. Representatives from Japan, Taiwan, Singapore, Europe, and the United States reported on their efforts to encourage data sharing and to use research to inform care through learning health systems. Results:This experience report summarizes presentations and discussions at the Global ARO Network Workshop held in November 2017 in Austin, TX, with representatives from Japan, Korea, Singapore, Taiwan, Europe, and the United States. Themes and recommendations to progress their efforts are explored. Standardization and harmonization are at the heart of these discussions to enable data sharing. In addition, the transformation of clinical research processes through disruptive innovation, while ensuring integrity and ethics, will be key to achieving the ARO Council goal to overcome diseases such that people not only live longer but also are healthier and happier as they age. Conclusions:The achievement of global learning health systems will require further exploration, consensus-building, funding aligned with incentives for data sharing, standardization, harmonization, and actions that support global interests for the benefit of patients

Neurobehavioral Abnormalities in Firest-Degree Relative of Individuals With Autism

CONTEXT: Studying sensorimotor and neurocognitive impairments in unaffected family members of individuals with autism may help identify familial pathophysiological mechanisms associated with the disorder. OBJECTIVE: To determine whether atypical sensorimotor or neurocognitive characteristics associated with autism are present in first-degree relatives of individuals with autism. DESIGN: Case-control comparison of neurobehavioral functions. SETTING: University medical center. PARTICIPANTS: Fifty-seven first-degree relatives of individuals with autism and 40 age-, sex-, and IQ-matched healthy control participants (aged 8-54 years). MAIN OUTCOME MEASURES: Oculomotor tests of sensorimotor responses (saccades and smooth pursuit); procedural learning and response inhibition; neuropsychological tests of motor, memory, and executive functions; and psychological measures of social behavior, communication skills, and obsessive-compulsive behaviors. RESULTS: On eye movement testing, family members demonstrated saccadic hypometria, reduced steady-state pursuit gain, and a higher rate of voluntary response inhibition errors relative to controls. They also showed lateralized deficits in procedural learning and open-loop pursuit gain (initial 100 milliseconds of pursuit) and increased variability in the accuracy of large-amplitude saccades that were confined to rightward movements. In neuropsychological studies, only executive functions were impaired relative to those of controls. Family members reported more communication abnormalities and obsessive-compulsive behaviors than controls. Deficits across oculomotor, neuropsychological, and psychological domains were relatively independent from one another. CONCLUSIONS: Family members of individuals with autism demonstrate oculomotor abnormalities implicating pontocerebellar and frontostriatal circuits and left-lateralized alterations of frontotemporal circuitry and striatum. The left-lateralized alterations have not been identified in other neuropsychiatric disorders and are of interest given atypical brain lateralization and language development associated with the disorder. Similar oculomotor deficits have been reported in individuals with autism, suggesting that they may be familial and useful for studies of neurophysiological and genetic mechanisms in autism