Property Rights and Governance of Land Resources in Pastoral Areas of the Oromia Region, Ethiopia

This article examines customary institutions governing rangeland resources in the Oromia Region, Ethiopia. Using data from different pastoral groups, we employed a case-study approach to explore how property rights are defined and enforced. The study indicates heterogeneity in systems of defining and enforcing rights. Due to the fugitive nature of resource use in pastoral systems, property rights vary seasonally. Though flexibility in the definition of such rights has become central to the survival of pastoral herders, formal administrative boundaries and policies have limited resource access, becoming sources of violent conflict and obstacle to customary systems. Government policies favouring private land use, expansion of large-scale investment on pastoral land, establishment of national parks, and certification of privately used land challenged the smooth functioning of customary land governance. This implies that state intervention should not undermine customary systems but permit them to exercise rangeland governance and ensure pastoral rights to secure livelihoods.

Download Full-text

From Freezing to Investing: New Approaches to Monetary and Currency Policies

Voprosy Ekonomiki ◽

10.32609/0042-8736-2008-3-47-55 ◽

2008 ◽

pp. 47-55

Author(s):

A. Nekipelov ◽

Yu. Goland

Keyword(s):

Economic Policy ◽

Property Rights ◽

Main Idea ◽

State Intervention ◽

Economic Thought ◽

Human Potential ◽

Knowledge Based ◽

Russian Economy ◽

Knowledge Based Economy

The appeals to minimize state intervention in the Russian economy are counterproductive. However the excessive involvement of the state is fraught with the threat of building nomenclature capitalism. That is the main idea of the series of articles by prominent representatives of Russian economic thought who formulate their position on key elements of the long-term strategy of Russia’s development. The articles deal with such important issues as Russia’s economic policy, transition to knowledge-based economy, basic directions of monetary and structural policies, strengthening of property rights, development of human potential, foreign economic priorities of our state.

Download Full-text

Student Perceptions of Community: A Different Perspective

NASPA Journal ◽

10.2202/0027-6014.1064 ◽

1998 ◽

Vol 35 (4) ◽

Author(s):

Jackie Clark ◽

Joan Hirt

Keyword(s):

Student Perceptions ◽

Large Scale ◽

Research University ◽

Small Scale ◽

Social Environments ◽

Common Assumption ◽

Small Communities ◽

Public Research University ◽

The Common ◽

Using Data

The creation of small communities has been proposed as a way of enhancing the educational experience of students at large institutions. Using data from a survey of students living in large and small residences at a public research university, this study does not support the common assumption that small-scale social environments are more conducive to positive community life than large-scale social environments.

Download Full-text

Challenging the State: Devolutionary Tenure Transitions for Saving and Expanding Forests

Human Ecology ◽

10.1007/s10745-021-00231-2 ◽

2021 ◽

Author(s):

Liz Alden Wily

Keyword(s):

Rural Communities ◽

Property Rights ◽

Protected Areas ◽

Forest Cover ◽

Biological Diversity ◽

Convention On Biological Diversity ◽

Property Relations ◽

The Will ◽

Customary Land

AbstractI address a contentious element in forest property relations to illustrate the role of ownership in protecting and expanding of forest cover by examining the extent to which rural communities may legally own forests. The premise is that whilst state-owned protected areas have contributed enormously to forest survival, this has been insufficiently successful to justify the mass dispossession of customary land-owning communities this has entailed. Further, I argue that state co-option of community lands is unwarranted. Rural communities on all continents ably demonstrate the will and capacity to conserve forests – provided their customary ownership is legally recognized. I explore the property rights reforms now enabling this. The replication potential of community protected forestlands is great enough to deserve flagship status in global commitments to expand forest including in the upcoming new Convention on Biological Diversity (CBD).

Download Full-text

Modeling Fused Filament Fabrication using Artificial Neural Networks

Production Engineering ◽

10.1007/s11740-021-01020-y ◽

2021 ◽

Author(s):

Paul Oehlmann ◽

Paul Osswald ◽

Juan Camilo Blanco ◽

Martin Friedrich ◽

Dominik Rietzel ◽

...

Keyword(s):

Real Time ◽

Large Scale ◽

Cost Effective ◽

Print Quality ◽

Ann Model ◽

Production Environment ◽

Fused Filament Fabrication ◽

Artificial Neural ◽

Using Data ◽

Artificial Neural Network Ann

AbstractWith industries pushing towards digitalized production, adaption to expectations and increasing requirements for modern applications, has brought additive manufacturing (AM) to the forefront of Industry 4.0. In fact, AM is a main accelerator for digital production with its possibilities in structural design, such as topology optimization, production flexibility, customization, product development, to name a few. Fused Filament Fabrication (FFF) is a widespread and practical tool for rapid prototyping that also demonstrates the importance of AM technologies through its accessibility to the general public by creating cost effective desktop solutions. An increasing integration of systems in an intelligent production environment also enables the generation of large-scale data to be used for process monitoring and process control. Deep learning as a form of artificial intelligence (AI) and more specifically, a method of machine learning (ML) is ideal for handling big data. This study uses a trained artificial neural network (ANN) model as a digital shadow to predict the force within the nozzle of an FFF printer using filament speed and nozzle temperatures as input data. After the ANN model was tested using data from a theoretical model it was implemented to predict the behavior using real-time printer data. For this purpose, an FFF printer was equipped with sensors that collect real time printer data during the printing process. The ANN model reflected the kinematics of melting and flow predicted by models currently available for various speeds of printing. The model allows for a deeper understanding of the influencing process parameters which ultimately results in the determination of the optimum combination of process speed and print quality.

Download Full-text

Nebula: ultra-efficient mapping-free structural variant genotyper

Nucleic Acids Research ◽

10.1093/nar/gkab025 ◽

2021 ◽

Author(s):

Parsoa Khorsand ◽

Fereydoun Hormozdiari

Keyword(s):

Large Scale ◽

Structural Variants ◽

Sequencing Technologies ◽

Generic Framework ◽

Common Genetic Variants ◽

Order Of Magnitude ◽

Complex Events ◽

Comparable Accuracy ◽

Using Data ◽

Computational Resources

Abstract Large scale catalogs of common genetic variants (including indels and structural variants) are being created using data from second and third generation whole-genome sequencing technologies. However, the genotyping of these variants in newly sequenced samples is a nontrivial task that requires extensive computational resources. Furthermore, current approaches are mostly limited to only specific types of variants and are generally prone to various errors and ambiguities when genotyping complex events. We are proposing an ultra-efficient approach for genotyping any type of structural variation that is not limited by the shortcomings and complexities of current mapping-based approaches. Our method Nebula utilizes the changes in the count of k-mers to predict the genotype of structural variants. We have shown that not only Nebula is an order of magnitude faster than mapping based approaches for genotyping structural variants, but also has comparable accuracy to state-of-the-art approaches. Furthermore, Nebula is a generic framework not limited to any specific type of event. Nebula is publicly available at https://github.com/Parsoa/Nebula.

Download Full-text

Can Mandatory Disclosure Policies Promote Corporate Environmental Responsibility?—Quasi-Natural Experimental Research on China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18116033 ◽

2021 ◽

Vol 18 (11) ◽

pp. 6033

Author(s):

Yue Liu ◽

Pierre Failler ◽

Liming Chen

Keyword(s):

Property Rights ◽

Large Scale ◽

Environmental Responsibility ◽

Mandatory Disclosure ◽

Corporate Environmental Responsibility ◽

Disclosure Policy ◽

Protection Information ◽

The Difference ◽

Csr Disclosure ◽

Corporate Social

Corporate environmental responsibility (CER) is an important component of the corporate social responsibility (CSR) report, and an important carrier for enterprises to disclose environmental protection information. Based on the corporate micro data, this paper evaluates the effect of a mandatory CSR disclosure policy on the fulfillment of corporate environmental responsibility by adopting the difference-in-differences model (DID) with the release of a mandatory disclosure policy of China in 2008 as a quasi-natural experiment. The study draws the following conclusions: First, a mandatory CSR disclosure policy can promote the fulfillment of CER. Second, after the implementation of a mandatory CSR disclosure policy, enterprises can improve their CER level through two channels: improving the quality of environmental management disclosure and increasing the number of patents. Third, the heterogeneity of the impacts of mandatory CSR disclosure on CER is reflected in three aspects: different CER levels, different corporate scales and a different property rights structure. In terms of the CER level, there is an inverted U-shaped relationship between the CER level and mandatory CSR disclosure effect. In terms of the corporate scale, mandatory disclosure of CSR plays a greater role in large-scale enterprises. In terms of the structure of property rights, mandatory CSR disclosure has a greater effect on non-state-owned enterprises.

Download Full-text

Land Grabbing and the Perplexities of Territorial Sovereignty

Political Theory ◽

10.1177/00905917211008591 ◽

2021 ◽

pp. 009059172110085

Author(s):

Anna Jurkevics

Keyword(s):

Large Scale ◽

Democratic Participation ◽

Private Land ◽

Land Grabbing ◽

Land Dispossession ◽

Territorial Sovereignty ◽

Global Demand ◽

Land Grabs ◽

Cast Doubt ◽

Philosophical Framework

The recent phenomenon of land grabbing—that is, the large-scale acquisition of private land rights by foreign investors—is an effect of increasing global demand for farmland, resources, and development opportunities. In 2008–2010 alone, land grabs covered approximately 56 million hectares of land, dispossessing and displacing inhabitants. This article proposes a philosophical framework for evaluating land grabbing as a practice of territorial alienation, whereby the private purchase of land can, under certain conditions, lead to a de facto alienation of territorial sovereignty. If land grabs alienate territorial sovereignty, it follows that inhabitants can claim a violation of the people’s right to “permanent sovereignty over natural resources.” However, because sovereignty is entangled in the historical and contemporary causes of land dispossession, I cast doubt on this strategy. Territorially sovereign regimes often undermine democratic land governance by obstructing participation in activities such as zoning, land use, property regulation, and environmental stewardship. These activities, which I theorize as practices of “world-building,” are key to democracy because they give occupants a say in the shape of their common home. The perplexities of sovereignty in matters of land governance suggest that establishing democratic participation in rule over land requires fracturing sovereignty.

Download Full-text

Assisting scalable diagnosis automatically via CT images in the combat against COVID-19

Scientific Reports ◽

10.1038/s41598-021-83424-5 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Bohan Liu ◽

Pan Liu ◽

Lutao Dai ◽

Yanlin Yang ◽

Peng Xie ◽

...

Keyword(s):

Large Scale ◽

Area Under The Curve ◽

Independent Set ◽

Reference Method ◽

Ct Images ◽

Loss Of Life ◽

Case Identification ◽

Reverse Transcription Pcr ◽

Using Data

AbstractThe pandemic of Coronavirus Disease 2019 (COVID-19) is causing enormous loss of life globally. Prompt case identification is critical. The reference method is the real-time reverse transcription PCR (RT-PCR) assay, whose limitations may curb its prompt large-scale application. COVID-19 manifests with chest computed tomography (CT) abnormalities, some even before the onset of symptoms. We tested the hypothesis that the application of deep learning (DL) to 3D CT images could help identify COVID-19 infections. Using data from 920 COVID-19 and 1,073 non-COVID-19 pneumonia patients, we developed a modified DenseNet-264 model, COVIDNet, to classify CT images to either class. When tested on an independent set of 233 COVID-19 and 289 non-COVID-19 pneumonia patients, COVIDNet achieved an accuracy rate of 94.3% and an area under the curve of 0.98. As of March 23, 2020, the COVIDNet system had been used 11,966 times with a sensitivity of 91.12% and a specificity of 88.50% in six hospitals with PCR confirmation. Application of DL to CT images may improve both efficiency and capacity of case detection and long-term surveillance.

Download Full-text

Integrative cBioPortal Analysis Revealed Molecular Mechanisms That Regulate EGFR-PI3K-AKT-mTOR Pathway in Diffuse Gliomas of the Brain

Cancers ◽

10.3390/cancers13133247 ◽

2021 ◽

Vol 13 (13) ◽

pp. 3247

Author(s):

Petar Brlek ◽

Anja Kafka ◽

Anja Bukovac ◽

Nives Pećina-Šlaus

Keyword(s):

Large Scale ◽

Molecular Mechanisms ◽

In Silico Analysis ◽

Total Sample ◽

Mtor Signaling ◽

Biological Behavior ◽

Mrna Transcription ◽

Diffuse Gliomas ◽

New Treatment ◽

Using Data

Diffuse gliomas are a heterogeneous group of tumors with aggressive biological behavior and a lack of effective treatment methods. Despite new molecular findings, the differences between pathohistological types still require better understanding. In this in silico analysis, we investigated AKT1, AKT2, AKT3, CHUK, GSK3β, EGFR, PTEN, and PIK3AP1 as participants of EGFR-PI3K-AKT-mTOR signaling using data from the publicly available cBioPortal platform. Integrative large-scale analyses investigated changes in copy number aberrations (CNA), methylation, mRNA transcription and protein expression within 751 samples of diffuse astrocytomas, anaplastic astrocytomas and glioblastomas. The study showed a significant percentage of CNA in PTEN (76%), PIK3AP1 and CHUK (75% each), EGFR (74%), AKT2 (39%), AKT1 (32%), AKT3 (19%) and GSK3β (18%) in the total sample. Comprehensive statistical analyses show how genomics and epigenomics affect the expression of examined genes differently across various pathohistological types and grades, suggesting that genes AKT3, CHUK and PTEN behave like tumor suppressors, while AKT1, AKT2, EGFR, and PIK3AP1 show oncogenic behavior and are involved in enhanced activity of the EGFR-PI3K-AKT-mTOR signaling pathway. Our findings contribute to the knowledge of the molecular differences between pathohistological types and ultimately offer the possibility of new treatment targets and personalized therapies in patients with diffuse gliomas.

Download Full-text

The effects of physical restructuring on the socioeconomic status of neighbourhoods: Selective migration and upgrading

Urban Studies ◽

10.1177/0042098018772980 ◽

2018 ◽

Vol 56 (8) ◽

pp. 1647-1663

Author(s):

Merle Zwiers ◽

Maarten van Ham ◽

Reinout Kleinhans

Keyword(s):

Large Scale ◽

Spillover Effects ◽

High Income ◽

Direct Effects ◽

Urban Restructuring ◽

Deprived Neighbourhoods ◽

New Construction ◽

Using Data ◽

Main Instrument ◽

Dutch Cities

In the last few decades, many governments have implemented urban restructuring programmes with the main goal of combating a variety of socioeconomic problems in deprived neighbourhoods. The main instrument of restructuring has been housing diversification and tenure mixing. The demolition of low-quality (social) housing and the construction of owner-occupied or private rented dwellings was expected to change the population composition of deprived neighbourhoods through the in-migration of middle- and high-income households. Many studies have been critical with regard to the success of such policies in actually upgrading neighbourhoods. Using data from the 31 largest Dutch cities for the 1999 to 2013 period, this study contributes to the literature by investigating the effects of large-scale demolition and new construction on neighbourhood income developments on a low spatial scale. We use propensity score matching to isolate the direct effects of policy by comparing restructured neighbourhoods with a set of control neighbourhoods with low demolition rates, but with similar socioeconomic characteristics. The results indicate that large-scale demolition leads to socioeconomic upgrading of deprived neighbourhoods as a result of attracting and maintaining middle- and high-income households. We find no evidence of spillover effects to nearby neighbourhoods, suggesting that physical restructuring only has very local effects.

Download Full-text