scholarly journals Engineering Graph Features via Network Functional Blocks

2018 ◽  
Author(s):  
Vincent W. Zheng
Keyword(s):  
Data Structure ◽  
Recent Work ◽  
Building Block ◽  
Fundamental Question ◽  
Feature Engineering ◽  
Proximity Search ◽  
Network Building ◽  
Wide Range ◽  
Functional Blocks ◽  
Semantic Proximity

Graph is a prevalent data structure that enables many predictive tasks. How to engineer graph features is a fundamental question. Our concept is to go beyond nodes and edges, and explore richer structures (e.g., paths, subgraphs) for graph feature engineering. We call such richer structures as network functional blocks, because each structure serves as a network building block but with some different functionality. We use semantic proximity search as an example application to share our recent work on exploiting different granularities of network functional blocks. We show that network functional blocks are effective, and they can be useful for a wide range of applications.

The chemistry of 4-(dicyanomethylene)-3-methyl-l-phenyl-2-pyrazoline-5- ones as a privileged scaffold in synthesis of heterocycles

2020 ◽  
Vol 17 ◽  
Author(s):  
Mohsen A.-M. Gomaa ◽  
Huda A. Ali
Keyword(s):  
Building Block ◽  
Heterocyclic Compounds ◽  
Recent Progress ◽  
Reaction Conditions ◽  
Azacrown Ethers ◽  
Wide Range ◽  
Privileged Scaffold ◽  
Number Of Publications ◽  
Near Future

Background : The reactivity of 4-(dicyanomethylene)-3-methyl-l-phenyl-2-pyrazoline-5-one DCNP 1 and its derivatives makes it valuable as a building block for the synthesis of heterocyclic compounds like pyrazolo-imidazoles, - thiazoles, spiropyridines, spiropyrroles, spiropyrans and others. As a number of publications have reported on the reactivity of DCNP and its derivatives, we compiled some features of this interesting molecule. Objective: This article aims to review the preparation of DCNP, its reactivity and application in heterocyclic and dyes synthesis. Conclusion: In this review we have provided an overview of recent progress in the chemistry of DCNP and its significance in synthesis of various classes of heterocyclic compounds and dyes. The unique reactivity of DCNP offers unprecedentedly mild reaction conditions for the generation of versatile cynomethylene dyes from a wide range of precursors including amines, α-aminocarboxylic acids, their esters, phenols, malononitriles and azacrown ethers. We anticipate that more innovative transformations involving DCNP will continue to emerge in the near future.

Religion and Toleration from the Enlightenment to the Post-Secular Era

2017 ◽  
Author(s):  
Rainer Forst
Keyword(s):  
Immanuel Kant ◽  
Recent Work ◽  
Common Ground ◽  
Fundamental Question ◽  
Modern World ◽  
Human Beings ◽  
Human Reason ◽  
The Enlightenment ◽  
Pierre Bayle ◽  
The Relationship

This chapter addresses the classical question of the relationship between enlightenment and religion. In doing so, the chapter compares Jürgen Habermas's thought to that of Pierre Bayle and Immanuel Kant. For, although Habermas undoubtedly stands in a tradition founded by Bayle and Kant, he develops a number of important orientations within this tradition and has changed his position in his recent work. The chapter studies this change to understand Habermas's position better. It also draws attention to a fundamental question raised by the modern world: what common ground can human reason establish in the practical and theoretical domain between human beings who are divided by profoundly different religious (including antireligious) views?

Military Alliances and Public Support for War

2021 ◽  
Author(s):  
Michael Tomz ◽  
Jessica L P Weeks
Keyword(s):  
Public Opinion ◽  
Moral Obligation ◽  
Public Support ◽  
Fundamental Question ◽  
Military Alliances ◽  
Audience Costs ◽  
Wide Range ◽  
Willingness To Intervene ◽  
Reputational Costs

Abstract How do military alliances affect public support for war to defend victims of aggression? We offer the first experimental evidence on this fundamental question. Our experiments revealed that alliance commitments greatly increased the American public's willingness to intervene abroad. Alliances shaped public opinion by increasing public fears about the reputational costs of nonintervention and by heightening the perceived moral obligation to intervene out of concerns for fairness and loyalty. Finally, although alliances swayed public opinion across a wide range of circumstances, they made the biggest difference when the costs of intervention were high, the stakes of intervention were low, and the country needing aid was not a democracy. Thus, alliances can create pressure for war even when honoring the commitment would be extremely inconvenient, which could help explain why democratic allies tend to be so reliable. These findings shed new light on the consequences of alliances and other international legal commitments, the role of morality in foreign policy, and ongoing debates about domestic audience costs.

scholarly journals Cache-efficient sweeping-based interval joins for extended Allen relation predicates

2021 ◽  
Author(s):  
Danila Piatov ◽  
Sven Helmer ◽  
Anton Dignös ◽  
Fabio Persia
Keyword(s):  
Data Structure ◽  
Experimental Evaluation ◽  
State Of The Art ◽  
Temporal Databases ◽  
Access Method ◽  
Wide Range ◽  
Interval Relation ◽  
Cache Efficient ◽  
Join Algorithms ◽  
Better Than

AbstractWe develop a family of efficient plane-sweeping interval join algorithms for evaluating a wide range of interval predicates such as Allen’s relationships and parameterized relationships. Our technique is based on a framework, components of which can be flexibly combined in different manners to support the required interval relation. In temporal databases, our algorithms can exploit a well-known and flexible access method, the Timeline Index, thus expanding the set of operations it supports even further. Additionally, employing a compact data structure, the gapless hash map, we utilize the CPU cache efficiently. In an experimental evaluation, we show that our approach is several times faster and scales better than state-of-the-art techniques, while being much better suited for real-time event processing.

scholarly journals Shape Neutral Analysis of Graph-based Data-structures

2018 ◽  
Vol 18 (3-4) ◽  
pp. 470-483 ◽  
Author(s):  
GREGORY J. DUCK ◽  
JOXAN JAFFAR ◽  
ROLAND H. C. YAP
Keyword(s):  
Data Structure ◽  
Data Structures ◽  
Program Analysis ◽  
Constraint Handling ◽  
C Programs ◽  
Wide Range ◽  
Target Program ◽  
Target Data ◽  
Structure Graph ◽  
Structure Properties

AbstractMalformed data-structures can lead to runtime errors such as arbitrary memory access or corruption. Despite this, reasoning over data-structure properties for low-level heap manipulating programs remains challenging. In this paper we present a constraint-based program analysis that checks data-structure integrity, w.r.t. given target data-structure properties, as the heap is manipulated by the program. Our approach is to automatically generate a solver for properties using the type definitions from the target program. The generated solver is implemented using a Constraint Handling Rules (CHR) extension of built-in heap, integer and equality solvers. A key property of our program analysis is that the target data-structure properties are shape neutral, i.e., the analysis does not check for properties relating to a given data-structure graph shape, such as doubly-linked-lists versus trees. Nevertheless, the analysis can detect errors in a wide range of data-structure manipulating programs, including those that use lists, trees, DAGs, graphs, etc. We present an implementation that uses the Satisfiability Modulo Constraint Handling Rules (SMCHR) system. Experimental results show that our approach works well for real-world C programs.

Design and implementation of a neural network building block

2002 ◽  
Author(s):  
R.J. Schalkoff ◽  
A.E. Turner ◽  
R. Singh ◽  
K.F. Poole ◽  
S. King ◽  
...  
Keyword(s):  
Neural Network ◽  
Building Block ◽  
Design And Implementation ◽  
Network Building

scholarly journals Diaminomaleonitrile as a versatile building block for the synthesis of 4,4′-biimidazolidinylidenes and 4,4′-bithiazolidinylidenes

2018 ◽  
Vol 24 (6) ◽  
pp. 303-306
Author(s):  
Mahsa Doomanlou ◽  
Hassan Kabirifard ◽  
Mehdi Asadi ◽  
Maryam Moloudi ◽  
Seyedeh Sara Mirfazli
Keyword(s):  
Building Block ◽  
Ring Closure ◽  
Wide Range ◽  
New Strategy ◽  
Aryl Isocyanates ◽  
Aryl Isothiocyanates

Abstract Ring closure reactions of diaminomaleonitrile (DAMN) with electrophilic aryl isocyanates and aryl isothiocyanates lead to the formation of the target 5,5′-diimino-1,1′-diaryl-4,4′-biimidazolidinylidene-2,2′-diones 2a,b and 2,2′-diarylimino-4,4′-bithiazolidinylidenes 4a–e, respectively. The protocol provides a new strategy for the synthesis of a wide range of alkenes with two electron-donating and two withdrawing substituents of DAMN in moderate to good yields.

scholarly journals Classifying Counterparty Sector in EMIR Data

2021 ◽  
pp. 117-143
Author(s):  
Francesca D. Lenoci ◽  
Elisa Letizia
Keyword(s):  
Case Studies ◽  
Greedy Algorithm ◽  
Euro Area ◽  
Building Block ◽  
European Market ◽  
Data Sources ◽  
Wide Range ◽  
Sector Classification ◽  
Market Infrastructure ◽  
Research And Policy

AbstractThe data collected under the European Market Infrastructure Regulation (“EMIR data”) provide authorities with voluminous transaction-by-transaction details on derivatives but their use poses numerous challenges. To overcome one major challenge, this chapter draws from eight different data sources and develops a greedy algorithm to obtain a new counterparty sector classification. We classify counterparties’ sector for 96% of the notional value of outstanding contracts in the euro area derivatives market. Our classification is also detailed, comprehensive, and well suited for the analysis of the derivatives market, which we illustrate in four case studies. Overall, we show that our algorithm can become a key building block for a wide range of research- and policy-oriented studies with EMIR data.

scholarly journals Law, Governance, and the Ecological Ethos

2015 ◽  
Author(s):  
Daniel Butt
Keyword(s):  
Coercive Force ◽  
Environmental Justice ◽  
Recent Work ◽  
Environmental Governance ◽  
Environmental Law ◽  
Command And Control ◽  
The State ◽  
Popular Participation ◽  
Wide Range ◽  
And Control

This chapter examines the limitations of both command-and-control and market-based legal mechanisms in the pursuit of environmental justice. If the environment is to be protected to at least a minimally acceptable degree, approaches that focus on the coercive force of the state must be complemented by the development of an “ecological ethos,” whereby groups and individuals are motivated to act with non-self-interested concern for the environment. The need for this ethos means that the state is dependent on the cooperation of a wide range of non-state actors. Recent work on environmental governance emphasizes the delegation of aspects of governing to such actors and supports efforts to increase popular participation in governmental processes. The chapter therefore advocates a governance approach that seeks to rectify some of the limitations of state-led environmental law, while encouraging popular participation in a way that can encourage the development of an ecological ethos among the citizenry.

scholarly journals Signals and Spite in Fluctuating Populations

2019 ◽  
Vol 2 (1) ◽  
pp. 137-146
Author(s):  
Rory Smead ◽  
Patrick Forber
Keyword(s):  
Recent Work ◽  
Computational Methods ◽  
Social Behaviors ◽  
Small Populations ◽  
Stochastic Effects ◽  
Animal Populations ◽  
Wide Range ◽  
Fluctuating Populations

AbstractSpite (in the biological or evolutionary sense) is behavior that harms others at a cost to the actor. The presence of spite in human and animal populations presents an evolutionary puzzle. Recent work has suggested small populations and pre-play signaling can have a significant effect on the evolution of spite. Here, we use computational methods to explore these factors in fluctuating populations that may go extinct. We find that the presence of spite can make a population significantly more likely to go extinct, but that this does not preclude the possibility of spite reliably evolving. Additionally, we find that the stochastic effects of small fluctuating populations allow for the evolution and predominance of signal-mediated conditional spite across a wide range of conditions. These results suggest that directed harm, even if costly, can play a significant early role in the evolution of social behaviors and this provides a possible origin for punishment.

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