scholarly journals Dynamic Nature of Relatedness, or What Kind of Related Variety for Long‐Term Regional Growth

2020 ◽  
Author(s):  
Kadri Kuusk ◽  
Mikhail Martynovich
Keyword(s):  
Regional Growth ◽  
Dynamic Nature ◽  
Related Variety

Detroit’s bankruptcy: treating the symptom, not the cause

2017 ◽  
Author(s):  
George Galster
Keyword(s):  
Federal Government ◽  
Regional Growth ◽  
Growth Management ◽  
Tax Rates ◽  
Tax Base ◽  
White Middle Class ◽  
Death Spiral ◽  
Expressway Construction ◽  
The City

In 2013 Detroit became the largest municipality to declare bankruptcy. Unfortunately, bankruptcy does not treat the long-term cause of Detroit’s financial crisis: the ongoing fiscal death spiral triggered by loss of industrial, commercial and residential tax base starting in the 1950s. The first loss came from manufacturers who abandoned older factories in the city in favor of suburban locations. The second came from the federal government, whose guarantees for FHA-VA mortgages and subsidies for expressway construction spurred suburbanization of Detroit’s (overwhelmingly white) middle class. Detroit trimmed services and raised tax rates in response. But this made it an increasingly uncompetitive location, thereby further contracting its property and income tax bases, forcing still more cuts in services and increases in tax rates. What is required to break out of the fiscal death spiral in which Detroit finds itself is substantially more federal and state revenue sharing and regional growth management.

Infrastructure, Accessibility and Growth in Tuscany: A Macroeconomic Impact Evaluation

2010 ◽  
pp. 75-100
Author(s):  
Giuseppe Francesco Gori ◽  
Patrizia Lattarulo ◽  
Renato Panicciŕ
Keyword(s):  
Economic Impact ◽  
Regional Growth ◽  
Agglomeration Economies ◽  
Regional Mobility ◽  
Macroeconomic Impact ◽  
Productivity Differentials ◽  
The Cost ◽  
The Impact ◽  
Cost Of Transportation

The purpose of the paper is to assess the impact of the Regional Mobility and Logistic Plan (RMLP) of Tuscany on regional growth and spatial disparities between the Tuscan provinces. In order to evaluate its economic impact, we first quantify the impact in terms of changes in travel time and variations in the cost of transportation per unit of delivered output. We then make use of the Remi-Irpet model. The latter explains the agglomeration economies and productivity differentials. We find that, despite the fact that the RMLP does not solve the structural problem of mobility within Tuscany, it does make it possible to get rid of some potential constraints for long-term regional growth, even if the economic impact across the provinces is disequalizing.

A Regional Approach to Mobility Management

2019 ◽  
pp. 1-24
Author(s):  
Morgan D. Vogel ◽  
Robert Blair ◽  
Jerome Deichert
Keyword(s):  
Public Transportation ◽  
Rural Areas ◽  
Regional Growth ◽  
The United States ◽  
Sustainable Transportation ◽  
Infrastructure Development ◽  
Transit Services ◽  
Urban And Rural Areas

Across the United States there is increased pressure for communities, especially in states like Nebraska, to engage in sustainable transportation infrastructure development. Through a case study of an ongoing statewide transportation initiative in nonmetropolitan Nebraska, this chapter examines transportation sustainability and planning from a regional and collaborative perspective. The Nebraska effort can be adapted to other states with significant rural and dispersed population centers. Funded by the state and the federal governments, Nebraska's transportation initiative, using an innovative public-private partnership, is creating and enhancing regional transit services in small urban and rural areas, using public transportation as a means to promote long-term economic growth and sustainability. Smaller urban and micropolitan communities, often serving as regional growth centers, frequently are overlooked when it comes to research on transportation planning and policy.

Kinodynamic planning for spherical tensegrity locomotion with effective gait primitives

2019 ◽  
Vol 38 (12-13) ◽  
pp. 1442-1462 ◽  
Author(s):  
Zakary Littlefield ◽  
David Surovik ◽  
Massimo Vespignani ◽  
Jonathan Bruce ◽  
Weifu Wang ◽  
...  
Keyword(s):  
Low Cost ◽  
Complex Environments ◽  
Dynamic Nature ◽  
Short Term ◽  
Dynamic Motion ◽  
Dynamical Characteristics ◽  
Unstable Configuration ◽  
Numerical Process ◽  
Horizon Planning

Tensegrity-based robots can achieve locomotion through shape deformation and compliance. They are highly adaptable to their surroundings, and are lightweight, low cost, and physically robust. Their high dimensionality and strongly dynamic nature, however, can complicate motion planning. Efforts to date have primarily considered quasi-static reconfiguration and short-term dynamic motion of tensegrity robots, which do not fully exploit the underlying system dynamics in the long term. Longer-horizon planning has previously required costly search over the full space of valid control inputs. This work synthesizes new and existing approaches to produce dynamic long-term motion while balancing the computational demand. A numerical process based upon quasi-static assumptions is first applied to deform the system into an unstable configuration, causing forward motion. The dynamical characteristics of the result are then altered via a few simple parameters to produce a small but diverse set of useful behaviors. The proposed approach takes advantage of identified symmetries on the prototypical spherical tensegrity robot, which reduce the number of needed gaits but allow motion along different directions. These gaits are first combined with a standard search method to achieve long-term planning in environments where the developed gaits are effective. For more complex environments, the various motion primitives are paired with the fall-back option of random valid actions and are used by an informed sampling-based kinodynamic motion planner with anytime properties. Evaluations using a physics-based model for the prototypical robot demonstrate that modest but efficiently applied search effort can unlock the utility of dynamic tensegrity motion to produce high-quality solutions.

Related Variety, Trade Linkages, and Regional Growth in Italy

2009 ◽  
Vol 85 (3) ◽  
pp. 289-311 ◽  
Author(s):  
Ron Boschma ◽  
Simona Iammarino
Keyword(s):  
Regional Growth ◽  
Related Variety

scholarly journals Nanomaterials in Soil Environment: A Review

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
SATYA SUNDAR BHATTACHARYA ◽  
Subhasish Das
Keyword(s):  
Physiological Stress ◽  
Soil Health ◽  
The Body ◽  
Sustainable Utilization ◽  
Soil Environment ◽  
Dynamic Nature ◽  
Lethal Effects ◽  
Human Use ◽  
Adequate Research

Nanomaterials (NMs) have become an integral part of our daily life and their extensive uproduction will only increase with the coming time. These NMs exhibit significant contrast in regard to dimension, reaction, and structure. The most important aspect of the NMs is that these can be easily manipulated and engineered to custom-suit different functions/industries. Owing totheir dynamic nature, these NMs behave differently when introduced in any medium. In soil, the behavior of NMs is significantly controlled by the interactions of nanomaterials with soil phases. Although, NMs are deemed beneficial for human-use yet these also carry lethal effects. Moreover, there is dearth of adequate research with respect to the interactions amongnanomaterials and soil physicochemical properties; their accumulation-dissolution dynamics in soil-plant systems; and their long term influence on soil health. Several NMs induce physiological stress when introduced inside the body. Thus, various researchers have devised green pathways for producing NMs, although their wide applicability is still questionable. Although the domain of nanotechnology is greatly explored yet there remain several grey areaswhich need to be addressed for sustainable utilization of these unique materials in the benefit of humankind.

scholarly journals Bayesian Estimation of real-time Epidemic Growth Rates using Gaussian Processes: local dynamics of SARS-CoV-2 in England

2022 ◽  
Author(s):  
Laura Marcela Guzman Rincon ◽  
Edward M Hill ◽  
Louise Dyson ◽  
Michael J Tildesley ◽  
Matt J Keeling
Keyword(s):  
Regional Growth ◽  
Epidemiological Data ◽  
Control Measures ◽  
Reproductive Number ◽  
Bayesian Hierarchical ◽  
Spatio Temporal ◽  
Epidemiological Trends ◽  
Near Future ◽  
Quantitative Assessments

Quantitative assessments of the recent state of an epidemic and short-term projections into the near future are key public health tools that have substantial policy impacts, helping to determine if existing control measures are sufficient or need to be strengthened. Key to these quantitative assessments is the ability to rapidly and robustly measure the speed with which the epidemic is growing or decaying. Frequently, epidemiological trends are addressed in terms of the (time-varying) reproductive number R. Here, we take a more parsimonious approach and calculate the exponential growth rate, r, using a Bayesian hierarchical model to fit a Gaussian process to the epidemiological data. We show how the method can be employed when only case data from positive tests are available, and the improvement gained by including the total number of tests as a measure of heterogeneous testing effort. Although the methods are generic, we apply them to SARS-CoV-2 cases and testing in England, making use of the available high-resolution spatio-temporal data to determine long-term patterns of national growth, highlight regional growth and spatial heterogeneity.

Using Technology To Help Overcome Institutional Obstacles to Improved Crash Records Processing

1997 ◽  
Vol 1581 (1) ◽  
pp. 10-17
Author(s):  
John S. Miller
Keyword(s):  
New Technologies ◽  
Organizational Changes ◽  
Dynamic Nature ◽  
Short Term ◽  
Data Bases ◽  
Crash Data ◽  
Single Entity ◽  
Advanced Technologies

Although advanced technologies have the potential to improve crash records processing, a number of recurrent institutional properties must be examined to comprehend the limits and rewards of these technologies. These properties include the diversity of crash-data users and providers, the dynamic nature of crash records processing, and the lack of a single entity that reaps all the benefits and bears all the costs of crash records processing. Although not inherently bad, these properties contribute to a number of problems with crash records processing, such as lack of access to crash data, inconsistencies among crash data bases, and disincentives to implementing new technologies or organizational changes that would make crash data more accessible, timely, or practical. With data obtained from a comprehensive inventory of Virginia’s computerized crash records systems, the feasibility of using technology to address these properties and the resultant problems was examined. A framework for assessing whether a proposed change will help solve short-term problems or overcome long-term obstacles was proposed.

Strategies for Assessing and Preventing Inpatient Violence in Forensic Hospitals: A Call for Specificity

2020 ◽  
Vol 25 (2) ◽  
pp. 146-154
Author(s):  
Erin Dexter ◽  
Michael J. Vitacco
Keyword(s):  
At Risk ◽  
Violence Risk ◽  
Dynamic Nature ◽  
Treatment Interventions ◽  
Violence Reduction ◽  
Hospital Administrators ◽  
Reduction Strategies

Abstract. Violence within inpatient forensic hospitals is a significant and enduring problem that leads to harm to staff and patients and causes significant expenditures. This paper provides comprehensive recommendations for developing and implementing violence reduction strategies within forensic settings that are predicated on appropriate evaluation for violence risk. This paper posits that proper strategies must take into account subtypes of violence and classifying risk with systematic and continuous evaluations. Treatment interventions should be geared to patients most at-risk for violence. By recognizing the dynamic nature of violence, hospital administrators can work closely with institution staff to provide support for improving the environment of forensic hospitals. By employing empirically based treatment interventions on both acute and long-term units, forensic hospitals can provide a safer environment.

A Study on the Contribution of 12 Key-Factors to the Growth Rates of the Region of the East Macedonia-Thrace (EMTH) by Using a Neural Network Model

2012 ◽  
Vol 1 (1) ◽  
pp. 18-28
Author(s):  
E. Stathakis ◽  
M. Hanias ◽  
P. Antoniades ◽  
L. Magafas ◽  
D. Bandekas
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Regional Growth ◽  
Network Models ◽  
Domestic Product ◽  
Key Factors ◽  
Neural Network Models ◽  
First Time

This study gives a new methodological framework regarding the measuring of the contribution of some key-factors on the regional growth rate and forecasting the future development rates, based on Neural Network Models (NN Models). It’s a serious attempt to study the contribution of twelve key-factors to the change of the Regional Gross Domestic Product of the Region of East Macedonia -Thrace during a long-term of growth process, by creating and using a suitable Neural Network Model. Specifically, twelve key-factors, time functioned in the period 1991-2008, are studied for the first time, in order to be investigated, scientifically, firstly their % contribution to growth of the regional economy and secondly, to be predicted how much the (Regional Growth Domestic Product) RGDP-under certain conditions-will be changed. It’s a NN Model with inputs the twelve key-factors in order to be evaluated and measured, at the best precise, their percentage contribution to the RGDP. The model and results can be found further into the article.

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