scholarly journals Designing Participatory Budgeting Mechanisms Grounded in Judgment Aggregation

2020 ◽  
Author(s):  
Simon Rey ◽  
Ulle Endriss ◽  
Ronald de Haan
Keyword(s):  
General Purpose ◽  
Judgment Aggregation ◽  
Collective Decision Making ◽  
Participatory Budgeting ◽  
Public Funds ◽  
New Approach ◽  
The Core ◽  
Different Types ◽  
Core Idea ◽  
Additional Constraints

We introduce a new approach for designing rules for participatory budgeting, the problem of deciding on the use of public funds based directly on the views expressed by the citizens concerned. The core idea is to embed instances of the participatory budgeting problem into judgment aggregation, a powerful general-purpose framework for modelling collective decision making. Taking advantage of the possibilities offered by judgment aggregation, we enrich the familiar setting of participatory budgeting with additional constraints, namely dependencies between projects and quotas regarding different types of projects. We analyse the rules obtained both in algorithmic and in axiomatic terms.

scholarly journals Random Cooperative Key Pre-Distribution Scheme in Wireless Sensor Networks

2018 ◽  
Vol 14 (11) ◽  
pp. 52
Author(s):  
Xiaojuan Zhao
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor ◽  
Key Establishment ◽  
The Core ◽  
Security Challenges ◽  
Distribution Scheme ◽  
Different Types ◽  
Hexagonal Grids ◽  
Simulation Results ◽  
Core Idea

<p class="0abstract"><span lang="EN-US">To cope with the security challenges brought by the popularization of wireless sensor network (WSN), a new random key pre-distribution scheme for WSNs based on the grid deployment theory of Blom mechanism is proposed. The core idea is to divide the network area where the nodes are into different types of hexagonal grids and nodes in different grids use different ways to create keys. Theoretical analysis and simulation results show that the scheme has better connectivity, local security and global security. In view of the existing storage consumption problems, a deterministic key establishment scheme is proposed based on the irregular network model. The simulation results show that the effective coding mechanism introduced optimizes the storage consumption in the network range. It also has a higher security threshold and absolute connectivity, and the enemy's ability to resist capture attacks is stronger.</span></p>

Sustainable Development is a Dead-End: The Logic of Modernity and Ecological Crisis

2020 ◽  
Author(s):  
Simon Lumsden
Keyword(s):  
Sustainable Development ◽  
Ecological Crisis ◽  
Self Determination ◽  
Ecological Sustainability ◽  
Planetary Boundaries ◽  
Western Modernity ◽  
Conceptual Frame ◽  
The Core ◽  
Dead End ◽  
Core Idea

This paper examines the theory of sustainable development presented by Jeffrey Sachs in The Age of Sustainable Development. While Sustainable Development ostensibly seeks to harmonise the conflict between ecological sustainability and human development, the paper argues this is impossible because of the conceptual frame it employs. Rather than allowing for a re-conceptualisation of the human–nature relation, Sustainable Development is simply the latest and possibly last attempt to advance the core idea of western modernity — the notion of self-determination. Drawing upon Hegel’s account of historical development it is argued that Sustainable Development and the notion of planetary boundaries cannot break out of a dualism of nature and self-determining agents.

scholarly journals “Artificial Wood” Lignocellulosic Membranes: Influence of Kraft Lignin on the Properties and Gas Transport in Tunicate-Based Nanocellulose Composites

Membranes ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 204
Author(s):  
Ievgen Pylypchuk ◽  
Roman Selyanchyn ◽  
Tetyana Budnyak ◽  
Yadong Zhao ◽  
Mikael Lindström ◽  
...  
Keyword(s):  
Knudsen Diffusion ◽  
Cellulose Nanofibers ◽  
Kraft Lignin ◽  
Separation Processes ◽  
New Approach ◽  
Future Studies ◽  
Different Types ◽  
Molecular Sizes ◽  
Fast Transport ◽  
Cellulose Membranes

Nanocellulose membranes based on tunicate-derived cellulose nanofibers, starch, and ~5% wood-derived lignin were investigated using three different types of lignin. The addition of lignin into cellulose membranes increased the specific surface area (from 5 to ~50 m2/g), however the fine porous geometry of the nanocellulose with characteristic pores below 10 nm in diameter remained similar for all membranes. The permeation of H2, CO2, N2, and O2 through the membranes was investigated and a characteristic Knudsen diffusion through the membranes was observed at a rate proportional to the inverse of their molecular sizes. Permeability values, however, varied significantly between samples containing different lignins, ranging from several to thousands of barrers (10−10 cm3 (STP) cm cm−2 s−1 cmHg−1cm), and were related to the observed morphology and lignin distribution inside the membranes. Additionally, the addition of ~5% lignin resulted in a significant increase in tensile strength from 3 GPa to ~6–7 GPa, but did not change thermal properties (glass transition or thermal stability). Overall, the combination of plant-derived lignin as a filler or binder in cellulose–starch composites with a sea-animal derived nanocellulose presents an interesting new approach for the fabrication of membranes from abundant bio-derived materials. Future studies should focus on the optimization of these types of membranes for the selective and fast transport of gases needed for a variety of industrial separation processes.

scholarly journals Dynamics and Stability of Constitutions, Coalitions, and Clubs

2012 ◽  
Vol 102 (4) ◽  
pp. 1446-1476 ◽  
Author(s):  
Daron Acemoglu ◽  
Georgy Egorov ◽  
Konstantin Sonin
Keyword(s):  
Decision Making ◽  
General Framework ◽  
Political Power ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Political Rights ◽  
Stable States ◽  
Initial State ◽  
Social Arrangement ◽  
Different Types

In dynamic collective decision making, current decisions determine the future distribution of political power and influence future decisions. We develop a general framework to study this class of problems. Under acyclicity, we characterize dynamically stable states as functions of the initial state and obtain two general insights. First, a social arrangement is made stable by the instability of alternative arrangements that are preferred by sufficiently powerful groups. Second, efficiency-enhancing changes may be resisted because of further changes they will engender. We use this framework to analyze dynamics of political rights in a society with different types of extremist views. (JEL D71, D72, K10)

scholarly journals Semi-Supervised Noisy Label Learning for Chinese Medical Named Entity Recognition

2021 ◽  
pp. 1-10
Author(s):  
Zhucong Li ◽  
Zhen Gan ◽  
Baoli Zhang ◽  
Yubo Chen ◽  
Jing Wan ◽  
...  
Keyword(s):  
Hybrid System ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
Final Test ◽  
Named Entity ◽  
The Core ◽  
Category Labels ◽  
Adversarial Training ◽  
Core Idea ◽  
The Impact

Abstract This paper describes our approach for the Chinese Medical named entity recognition(MER) task organized by the 2020 China conference on knowledge graph and semantic computing(CCKS) competition. In this task, we need to identify the entity boundary and category labels of six entities from Chinese electronic medical record(EMR). We construct a hybrid system composed of a semi-supervised noisy label learning model based on adversarial training and a rule postprocessing module. The core idea of the hybrid system is to reduce the impact of data noise by optimizing the model results. Besides, we use post-processing rules to correct three cases of redundant labeling, missing labeling, and wrong labeling in the model prediction results. Our method proposed in this paper achieved strict criteria of 0.9156 and relax criteria of 0.9660 on the final test set, ranking first.

scholarly journals Gravitational differentiation in the regimes from stokes settling to Rayleigh–Raylor flows

2019 ◽  
pp. 15-30
Author(s):  
V. P. Trubitsyn
Keyword(s):  
Viscous Fluid ◽  
Interacting Particles ◽  
Small Particles ◽  
Continuous Transition ◽  
New Approach ◽  
Earth's Core ◽  
The Core ◽  
The Earth ◽  
Large Particles ◽  
Two Component

The Earth’s core was formed under gravitational differentiation in the course of the separation of iron and silicates. Most of the iron has gone into the core as early as when the Earth was growing. However, iron continued to precipitate even during the subsequent partial solidification which developed from the bottom upwards. At the different stages and in the different layers of the mantle, iron was deposited in different regimes. In this paper, the mechanisms of the deposition of a cloud of heavy interacting particles (or drops) in a viscous fluid are considered. A new approach suitable for analytical and numerical tracing the changes in the structure of the flows in a two-component suspension under continuous transition from the Stokessettling (for the case of a cloud of large particles) to the Rayleigh–Taylor flows and heavy diapirs (for the case of a cloud of small particles) is suggested. It is numerically and analytically shown that the both regimes are the different limiting cases of the sedimentation convection in suspensions.

scholarly journals Urban, industrial and technological risks. Synthesis of the elements of vulnerability of the city of Hassi-Messaoud

2020 ◽  
Vol 12 ◽  
Author(s):  
Lahcene Bouzouaid ◽  
Moussadek Benabbas
Keyword(s):  
Urban Space ◽  
Job Search ◽  
Population Distribution ◽  
Risk Assessments ◽  
Demographic Development ◽  
New Approach ◽  
Different Types ◽  
Specific Factors ◽  
The City

Abstract Today, Algeria is one of the developing countries that are engaging seriously into a new approach consisting of all kinds of combined risk assessments for better prevention them. Note that, this is a fairly important parameter, that is, the safety of people and property. However, the magnitude of the risk, of whatever nature, affects a variety of diversified aspects (Human, economic, technical and environmental). This study presented a case study, which is sometimes paradoxical, seeing that it is the result of the combination of all risk factors and specific factors related to them connected to a fragile urban environment: Hassi-Messaoud. It is well known that Hassi-Messaoud is one of the most important city for Algeria's economy; in which the demographic development is mainly known by incessant flows of immigrants, motivated essentially by job search. This arbitrary of population distribution exposes this city to a certain danger; especially as Hassi-Messaoud is in a zone subject to a probable risk expressed here by being characteristic of an oil zone. Thus, this article aimed to provide elements of risk assessment related to oil activity. This approach could conclude that, through a schematic scale, the different types and levels of exposure and vulnerability could be identified, that is, characteristics of the urban space in question.

scholarly journals Automatic Inference of Sound Correspondence Patterns Across Multiple Languages

2018 ◽  
Author(s):  
Johann-Mattis List
Keyword(s):  
Pattern Recognition ◽  
Graph Theory ◽  
Crucial Role ◽  
Phylogenetic Reconstruction ◽  
Automatic Method ◽  
Network Approach ◽  
The Core ◽  
Cover Problem ◽  
Core Idea ◽  
Multiple Languages

Sound correspondence patterns play a crucial role for linguistic reconstruction. Linguists use them to prove language relationship, to reconstruct proto-forms, and for classical phylogenetic reconstruction based on shared innovations. Cognate words which fail to conform with expected patterns can further point to various kinds of exceptions in sound change, such as analogy or assimilation of frequent words. Here we present an automatic method for the inference of sound correspondence patterns across multiple languages based on a network approach. The core idea is to represent all columns in aligned cognate sets as nodes in a network with edges representing the degree of compatibility between the nodes. The task of inferring all compatible correspondence sets can then be handled as the well-known minimum clique cover problem in graph theory, which essentially seeks to split the graph into the smallest number of cliques in which each node is represented by exactly one clique. The resulting partitions represent all correspondence patterns which can be inferred for a given dataset. By excluding those patterns which occur in only a few cognate sets, the core of regularly recurring sound correspondences can be inferred. Based on this idea, the paper presents a method for automatic correspondence pattern recognition, which is implemented as part of a Python library which supplements the paper. To illustrate the usefulness of the method, we present how the inferred patterns can be used to predict words that have not been observed before.

scholarly journals Asymmetric Distribution Measure for Few-shot Learning

2020 ◽  
Author(s):  
Wenbin Li ◽  
Lei Wang ◽  
Jing Huo ◽  
Yinghuan Shi ◽  
Yang Gao ◽  
...  
Keyword(s):  
State Of The Art ◽  
Asymmetric Distribution ◽  
Query Image ◽  
Local Descriptor ◽  
Innovative Design ◽  
Feature Representations ◽  
The Core ◽  
Measure Function ◽  
Asymmetric Relation ◽  
Core Idea

The core idea of metric-based few-shot image classification is to directly measure the relations between query images and support classes to learn transferable feature embeddings. Previous work mainly focuses on image-level feature representations, which actually cannot effectively estimate a class's distribution due to the scarcity of samples. Some recent work shows that local descriptor based representations can achieve richer representations than image-level based representations. However, such works are still based on a less effective instance-level metric, especially a symmetric metric, to measure the relation between a query image and a support class. Given the natural asymmetric relation between a query image and a support class, we argue that an asymmetric measure is more suitable for metric-based few-shot learning. To that end, we propose a novel Asymmetric Distribution Measure (ADM) network for few-shot learning by calculating a joint local and global asymmetric measure between two multivariate local distributions of a query and a class. Moreover, a task-aware Contrastive Measure Strategy (CMS) is proposed to further enhance the measure function. On popular miniImageNet and tieredImageNet, ADM can achieve the state-of-the-art results, validating our innovative design of asymmetric distribution measures for few-shot learning. The source code can be downloaded from https://github.com/WenbinLee/ADM.git.

Sign in / Sign up

Export Citation Format

Share Document