scholarly journals A Transparent and Intuitive Modeling Framework and Software for Efficient Land Allocation

Land ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 444
Author(s):  
John Gallo ◽  
Gregory Aplet ◽  
Randal Greene ◽  
Janice Thomson ◽  
Amanda Lombard
Keyword(s):  
Sierra Nevada ◽  
Land Use Planning ◽  
Lessons Learned ◽  
Land Allocation ◽  
Modeling Framework ◽  
Sierra Nevada Mountains ◽  
Wide Range ◽  
Modeling Software ◽  
Site Evaluation ◽  
Prototype Software

The purpose of this research is to better conserve biodiversity by improving land allocation modeling software. Here we introduce a planning support framework designed to be understood by and useful to land managers, stakeholders, and other decision-makers. With understanding comes trust and engagement, which often yield better implementation of model results. To do this, we break from traditional software such as Zonation and Marxan with Zones to prototype software that instead first asks the project team and stakeholders to make a straightforward multi-criteria decision tree used for traditional site evaluation analyses. The results can be used as is or fed into an algorithm for identifying a land allocation solution that is efficient in meeting several objectives including maximizing habitat representation, connectivity, and adjacency at a set cost budget. We tested the framework in five pilot regions and share the lessons learned from each, with a detailed description and evaluation of the fifth (in the central Sierra Nevada mountains of California) where the software effectively met the multiple objectives, for multiple zones (Restoration, Innovation, and Observation Zones). The framework is sufficiently general that it can be applied to a wide range of land use planning efforts.

REVISION OF NORTH AMERICAN AGABUS LEACH (COLEOPTERA: DYTISCIDAE): LUTOSUS-, OBSOLETUS-, AND FUSCIPENNIS-GROUPS

1994 ◽  
Vol 126 (1) ◽  
pp. 135-181 ◽  
Author(s):  
D.J. Larson
Keyword(s):  
North America ◽  
Pacific Northwest ◽  
Sierra Nevada ◽  
Great Basin ◽  
Great Plains ◽  
North American ◽  
Pacific Coast ◽  
The Pacific ◽  
Sierra Nevada Mountains ◽  
Wide Range

AbstractSpecies of Agabus of the lutosus-, obsoletus-, and fuscipennis-groups, as defined by Larson (1989), are revised. Members of the lutosus- and obsoletus-groups are restricted to the Cordilleran and Great Plains regions of temperate western North America. Within this region, the species of each group are largely parapatric. Three species are assigned to the lutosus-group: A. lutosus LeConte along the Pacific Coast; A. griseipennis LeConte in the Great Basin, Rocky Mountain, and Great Plains regions; and A. rumppi Leech in the southern deserts. Agabus lutosus and A. griseipennis hybridize in the Pacific Northwest; A. lutosus mimus Leech is synonymized with A. lutosus. The obsoletus-group contains five species: A. obsoletus LeConte, A. morosus LeConte, and A. ancillus Fall along the Pacific Coast and the Sierra Nevada Mountains; A. hoppingi Leech in the Sierra Nevada Mountains; and A. obliteratus LeConte, containing two subspecies, A. o. obliteratus and A. o. nectris Leech, new status, with a wide range including the Great Plains and Cordillera but not reaching the Pacific Coast. The four species of the fuscipennis-group, A. ajax Fall, A. coxalis Sharp, A. fuscipennis (Paykull), and A. infuscatus Aubé, are boreal and all except A. ajax are Holarctic. Agabus coxalis is restricted to northwestern North America, the other three species are transcontinental.For each species the following information is provided: synonymy, description, and illustrations of taxonomically important characters; notes on relationships, variation, distribution, and ecology; and a map of North American collection localities. Group diagnoses and keys to the species of each group are presented. A correction to the key to species groups of North American Agabus (Larson 1989) is made with the addition of a couplet to include the obsoletus-group. Lectotypes are designated for A. discolor LeConte and A. obliteratus LeConte.

scholarly journals Erosion rates as a potential bottom‐up control of forest structural characteristics in the Sierra Nevada Mountains

Ecology ◽  
2015 ◽  
Vol 96 (1) ◽  
pp. 31-38 ◽  
Author(s):  
David T. Milodowski ◽  
Simon M. Mudd ◽  
Edward T. A. Mitchard
Keyword(s):  
Sierra Nevada ◽  
Structural Characteristics ◽  
Bottom Up ◽  
Erosion Rates ◽  
Sierra Nevada Mountains

scholarly journals Detection of drought‐induced blue oak mortality in the Sierra Nevada Mountains, California

Ecosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
Author(s):  
Margarita Huesca ◽  
Susan L. Ustin ◽  
Kristen D. Shapiro ◽  
Ryan Boynton ◽  
James H. Thorne
Keyword(s):  
Sierra Nevada ◽  
Blue Oak ◽  
Sierra Nevada Mountains ◽  
Oak Mortality

scholarly journals Risk and the Republican National Convention: Application of the Novel COVID-19 Operational Risk Assessment

2021 ◽  
pp. 1-6
Author(s):  
David Callaway ◽  
Jeff Runge ◽  
Lucia Mullen ◽  
Lisa Rentz ◽  
Kevin Staley ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Care ◽  
Care Delivery ◽  
The United States ◽  
Lessons Learned ◽  
World Health ◽  
Local Health ◽  
Mass Gathering ◽  
Wide Range ◽  
National Convention

Abstract The United States Centers for Disease Control and Prevention and the World Health Organization broadly categorize mass gathering events as high risk for amplification of coronavirus disease 2019 (COVID-19) spread in a community due to the nature of respiratory diseases and the transmission dynamics. However, various measures and modifications can be put in place to limit or reduce the risk of further spread of COVID-19 for the mass gathering. During this pandemic, the Johns Hopkins University Center for Health Security produced a risk assessment and mitigation tool for decision-makers to assess SARS-CoV-2 transmission risks that may arise as organizations and businesses hold mass gatherings or increase business operations: The JHU Operational Toolkit for Businesses Considering Reopening or Expanding Operations in COVID-19 (Toolkit). This article describes the deployment of a data-informed, risk-reduction strategy that protects local communities, preserves local health-care capacity, and supports democratic processes through the safe execution of the Republican National Convention in Charlotte, North Carolina. The successful use of the Toolkit and the lessons learned from this experience are applicable in a wide range of public health settings, including school reopening, expansion of public services, and even resumption of health-care delivery.

scholarly journals EXPRESS: Overcoming the Cold Start Problem of CRM using a Probabilistic Machine Learning Approach

2021 ◽  
pp. 002224372110329
Author(s):  
Nicolas Padilla ◽  
Eva Ascarza
Keyword(s):  
Machine Learning ◽  
Cold Start ◽  
Customer Relationship ◽  
Exponential Families ◽  
Modeling Framework ◽  
Wide Range ◽  
The Moment ◽  
Probabilistic Machine Learning ◽  
Marketing Actions ◽  
Cold Start Problem

The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to identify and leverage differences across customers — a very diffcult task when firms attempt to manage new customers, for whom only the first purchase has been observed. For those customers, the lack of repeated observations poses a structural challenge to inferring unobserved differences across them. This is what we call the “cold start” problem of CRM, whereby companies have difficulties leveraging existing data when they attempt to make inferences about customers at the beginning of their relationship. We propose a solution to the cold start problem by developing a probabilistic machine learning modeling framework that leverages the information collected at the moment of acquisition. The main aspect of the model is that it exibly captures latent dimensions that govern the behaviors observed at acquisition as well as future propensities to buy and to respond to marketing actions using deep exponential families. The model can be integrated with a variety of demand specifications and is exible enough to capture a wide range of heterogeneity structures. We validate our approach in a retail context and empirically demonstrate the model's ability at identifying high-value customers as well as those most sensitive to marketing actions, right after their first purchase.

Encouraging millennials to collaborate and learn on the job

2015 ◽  
Vol 14 (4) ◽  
pp. 118-123 ◽  
Author(s):  
Lauren Trees
Keyword(s):  
Knowledge Management ◽  
Best Practices ◽  
Social Networking ◽  
Age Groups ◽  
Lessons Learned ◽  
Retention Rates ◽  
Direct Access ◽  
Content Type ◽  
Business Outcomes ◽  
Wide Range

Purpose – The purpose of this paper is to present enterprise social networking and gamification as two potential tools to help organizations engage Millennial employees in collaboration and learning. Design/methodology/approach – The research provides general descriptions of enterprise social networking and gamification approaches, shares data on adoption of these approaches from APQC’s “2015 Knowledge Management Priorities Data Report” (based on a January 2015 survey of 524 knowledge management professionals) and includes four company examples adapted from APQC’s Connecting People to Content and Transferring and Applying Critical Knowledge best practices studies. The methodology for APQC’s best practices studies involves screening 50 or more organizations with potential best practices in a given research scope area and identifying five or six with proven best practices. APQC then conducts detailed site visits with the selected organizations and publishes case studies based on those site visits. Findings – Enterprise social networking platforms are in place at 50 per cent of organizations, with another 25 per cent planning to implement them by the end of 2015. By providing near-immediate access to information and answers, enterprise social networking helps Millennials learn the ropes at their new workplaces, gives them direct access to more knowledgeable colleagues who can assist and mentor them, and helps them improve their business outcomes by reusing knowledge and lessons learned across projects. Younger workers can also harness the power of social networking to create a sense of belonging and build their reputations in large, dispersed firms, where it is particularly difficult for them to gain visibility. A recent APQC survey indicates that 54 per cent of organizations either currently employ gamification to encourage collaboration or expect to implement it within the next three years. The rush to gamify the enterprise is, at least in part, a reflection of employers’ desire to satisfy Millennials and make them feel connected to a community of co-workers. Although games appeal to a wide range of age groups, Millennials grew up with digital interaction and tend to prefer environments that emphasize teamwork, social learning and frequent feedback – all of which can be delivered through gamification. Originality/value – The value of this paper is to introduce the value of and relationship between enterprise social networking and gamification platforms to human resource (HR) professionals looking to increase engagement and retention rates for Millennial employees.

Lessons learned from the porcine CARPA model: constant and variable responses to different nanomedicines and administration protocols

2015 ◽  
Vol 7 (3) ◽  
Author(s):  
Rudolf Urbanics ◽  
Péter Bedőcs ◽  
János Szebeni
Keyword(s):  
Inflammatory Mediator ◽  
Lessons Learned ◽  
Bolus Administration ◽  
Variable Parameters ◽  
Skin Changes ◽  
Wide Range ◽  
Slow Infusion ◽  
Technical Details ◽  
Drug Nanocarriers ◽  
Preclinical Safety

AbstractPigs provide a sensitive and quantitative animal model of complement (C) activation-related pseudoallergy (CARPA) caused by liposomes and a wide range of nanoparticulate drugs or drug nanocarriers (nanomedicines). The tetrad of symptoms (hemodynamic, hematological, laboratory and skin changes) that arise within minutes after i.v. injection of reactogenic nanomedicines (RNMs) are highly reproducible among different pigs but the presence, direction and relative severity of symptoms are very different with different RNMs and their administration schedule. Bolus administration of RNMs usually trigger pulmonary hypertension with or without various degrees of systemic hyper- or hypotension, tachy-or bradycardia, arrhythmia, blood cell and inflammatory mediator changes and skin rash. These reactions can be rapid or protracted, and fully tachyphylactic, semi-tachyphylactic or non-tachyphylactic. Slow infusion usually diminishes the reactions and/or entail delayed, protracted and less severe hemodynamic and other changes. The goal of this review is to present some technical details of the porcine CARPA model, point out its constant and variable parameters, show examples of different reactions, highlight the unique features and capabilities of the model and evaluate its utility in preclinical safety assessment. The information obtained in this model enables the understanding of the complex pathomechanism of CARPA involving simultaneous anaphylatoxin and inflammatory mediator actions at multiple sites in different organs.

scholarly journals A Comparative Analysis of Climate-Risk and Extreme Event-Related Impacts on Well-Being and Health: Policy Implications

2018 ◽  
Vol 15 (2) ◽  
pp. 331 ◽  
Author(s):  
Walter Leal Filho ◽  
Abul Al-Amin ◽  
Gustavo Nagy ◽  
Ulisses Azeiteiro ◽  
Laura Wiesböck ◽  
...  
Keyword(s):  
Climate Change ◽  
Extreme Events ◽  
Extreme Event ◽  
Well Being ◽  
Lessons Learned ◽  
Policy Implications ◽  
Health Impacts ◽  
Climate Risks ◽  
Wide Range ◽  
Mental Problems

There are various climate risks that are caused or influenced by climate change. They are known to have a wide range of physical, economic, environmental and social impacts. Apart from damages to the physical environment, many climate risks (climate variability, extreme events and climate-related hazards) are associated with a variety of impacts on human well-being, health, and life-supporting systems. These vary from boosting the proliferation of vectors of diseases (e.g., mosquitos), to mental problems triggered by damage to properties and infrastructure. There is a great variety of literature about the strong links between climate change and health, while there is relatively less literature that specifically examines the health impacts of climate risks and extreme events. This paper is an attempt to address this knowledge gap, by compiling eight examples from a set of industrialised and developing countries, where such interactions are described. The policy implications of these phenomena and the lessons learned from the examples provided are summarised. Some suggestions as to how to avert the potential and real health impacts of climate risks are made, hence assisting efforts to adapt to a problem whose impacts affect millions of people around the world. All the examples studied show some degree of vulnerability to climate risks regardless of their socioeconomic status and need to increase resilience against extreme events.

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