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"Information structure"
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Space, place and global digital work
This volume seeks to enhance our understanding of the concepts of space and place in the study of digital work. It argues that while digital work is often presented as 'placeless', work always takes place somewhere with a certain degree of local embeddedness. Contributors to this collection address restructuring processes that bring about delocalised digital work and point out limitations to dislocation inherent in the work itself, and the social relations or the physical artefacts involved. Exploring the dynamics of global value chains and shifts in the international division of labour, this book explores the impact these have on employment and working conditions, workers' agency in shaping and coping with changes in work, and the new competencies needed in virtual organisational environments. Combining different disciplinary perspectives, the volume teases out the spatial aspects of digital work at different scales ranging from team level to that of global production networks.
Robust forecast aggregation
by
Babichenko, Yakov
,
Arieli, Itai
,
Smorodinsky, Rann
in
Agglomeration
,
Bayesian analysis
,
Economic Sciences
2018
Bayesian experts who are exposed to different evidence often make contradictory probabilistic forecasts. An aggregator, ignorant of the underlying model, uses this to calculate his or her own forecast. We use the notions of scoring rules and regret to propose a natural way to evaluate an aggregation scheme. We focus on a binary state space and construct low regret aggregation schemes whenever there are only two experts that either are Blackwell-ordered or receive conditionally independent and identically distributed (i.i.d.) signals. In contrast, if there are many experts with conditionally i.i.d. signals, then no scheme performs (asymptotically) better than a (0.5, 0.5) forecast.
Journal Article
Night train to Odessa : covering the human cost of Russia's war
by
Stout, Jen, author
in
Russo-Ukrainian War, 2014- Personal narratives.
,
Russian Invasion of Ukraine, 2022 Refugees.
,
Russian Invasion of Ukraine, 2022 Social aspects.
2024
When Russian tanks rolled into Ukraine, millions of lives changed in an instant. Millions of people were suddenly on the move. In this great flow of people was a reporter from the north of Scotland. Jen Stout left Moscow abruptly, ending up on a border post in southeast Romania, from where she began to cover the human cost of Russian aggression. Her first-hand, vivid reporting brought the war home to readers in Scotland as she reported from front lines and cities across Ukraine. Stories from the night trains, birthday parties, military hospitals and bunkers: stories from the ground, from a writer with a deep sense of empathy, always seeking to understand the bigger picture, the big questions of identity, history, hopes and fears in this war in Europe.
C++ data structures and algorithms : learn how to write efficient code to build scalable and robust applications in C++
by
Anggoro, Wisnu
in
C++ (Computer program language)
,
Computer algorithms
,
COMPUTERS / Programming / General
2018,2024
C++ is a general-purpose programming language which has evolved over the years and is used to develop software for many different sectors. This book will be your companion as it takes you through implementing classic data structures and algorithms to help you get up and running as a confident C++ programmer.
Controlling the Connected Vehicle with Bi-Directional Information: Improved Car-Following Models and Stability Analysis
by
Qu, Xu
,
Yi, Ziwei
,
Ran, Bin
in
acceleration
,
bidirectional vehicles information structure
,
connected vehicle
2021
Connected vehicle (CV) technologies are changing the form of traditional traffic models. In the CV driving environment, abundant and accurate information is available to vehicles, promoting the development of control strategies and models. Under these circumstances, this paper proposes a bidirectional vehicles information structure (BDVIS) by making use of the acceleration information of one preceding vehicle and one following vehicle to improve the car-following models. Then, we deduced the derived multiple vehicles information structure (DMVIS), including historical movement information of multiple vehicles, without the acceleration information. Next, the paper embeds the four kinds of basic car-following models into the framework to investigate the stability condition of two structures under the small perturbation of traffic flow and explored traffic response properties with different proportions of forward-looking or backward-looking terms. Under the open boundary condition, simulations on a single lane are conducted to validate the theoretical analysis. The results indicated that BDVIS and the DMVIS perform better than the original car-following model in improving the traffic flow stability, but that they have their own advantages for differently positioned vehicles in the platoon. Moreover, increasing the proportions of the preceding and following vehicles presents a benefit to stability, but if traffic is stable, an increase in any of the parameters would extend the influence time, which reveals that neither β1 or β2 is the biggest the best for the traffic.
Journal Article
The influence of eWOM information structures on consumers’ purchase intentions
by
Xiao, Liang
,
Luo, Linyong
,
Ke, Tongping
in
Consumer behavior
,
Electronic commerce
,
Generation Z
2024
Generation Z consumers are characterized by social networking and instant decision-making. The influence of different forms of electronic word of mouth (eWOM) on the consumption decisions of generation Z consumers is quite different. Based on information adoption model (IAM) and information transmission theory, the paper established the influence mechanism model of eWOM information structures on generation Z consumers’ purchase intentions. A total of 815 valid questionnaires were collected for empirical test through a 2*2*2 between-subject situational experiment. The empirical results reveal that eWOM information structures influence generation Z consumers’ purchase intentions through user perception. Among them, the eWOM information of diversified form, composite type, and hybrid type structure has a higher effect on perception credibility and usefulness than the eWOM information of single form, one-way type, and single type structure. Consumers’ professional ability plays a partial role in moderating the influence of eWOM information structure on user perception.
Journal Article
Beginning Java Data Structures and Algorithms
by
Cutajar, James
in
Computer algorithms
,
Data structures (Computer science)
,
Java (Computer program language)
2018
Learning about data structures and algorithms gives you a better insight on how to solve common programming problems. Most of the problems faced everyday by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems. This book teaches you.
C# Data Structures and Algorithms
by
Jamro, Marcin
in
Application software-Development
,
C# (Computer program language)
,
Computer algorithms
2018,2024
Data structures allow organizing data efficiently. Their suitable implementation can provide a complete solution that acts like reusable code. In this book, you will learn how to use various data structures while developing in the C# language as well as how to implement some of the most common algorithms used with such data structures.
Advanced Data Structures and Algorithms
by
A, Abirami
,
R L, Priya
in
Computer algorithms
,
COMPUTERS / Information Technology
,
COMPUTERS / Programming / Algorithms
2023
Solve complex problems by performing analysis of algorithms or selecting suitable techniques for optimal performance
Key Features
? Get familiar with various concepts and techniques of advanced data structures to solve real-world problems.
? Learn how to evaluate the efficiency and performance of an algorithm in terms of time and space complexity.
? A practical guide for students and faculty members who are interested in this important subject area of Computer Science.
Description
\"Advanced Data Structures and Algorithms\" is an important subject area in Computer Science that covers more complex and advanced topics related to data structures and algorithms. This book will teach you how to analyze algorithms to handle the difficulties of sophisticated programming. It will then help you understand how advanced data structures are used to store and manage data efficiently. Moving on, it will help you explore and work with Divide and Conquer techniques, Dynamic programming, and Greedy algorithms. Lastly, the book will focus on various String Matching Algorithms such as naïve string matching algorithms, Knuth–Morris–Pratt(KMP) Algorithm, and Rabin-Karp Algorithm. By the end of the book, you will be able to analyze various algorithms with time and space complexity to choose the best suitable algorithms for a given problem.
What you will learn
? Understand how to examine an algorithm's time and space complexity.
? Explore complex data structures like AVL tree, Huffman coding, and many more.
? Learn how to solve larger problems using Divide and Conquer techniques.
? Identify the most optimal solution using Greedy and Dynamic Programming.
? Learn how to deal with real-world problems using various approaches of the String Matching algorithms.
Who this book is for
This book is aligned with the curriculum of the Computer Engineering program offered by Mumbai University. The book is designed not only for Computer Engineering and Information Technology students but also for anyone who wants to learn about advanced data structures and analysis of algorithms.
Table of Contents
1. Analysis of Algorithm
2. Advanced Data Structures
3. Divide and Conquer
4. Greedy Algorithms
5. Dynamic Algorithms and NP-Hard and NP-Complete
6. String Matching
Pragmatic Reasons for Non-Clause-Initial Placement of Subjects of Active and Passive Clauses in Northern Mansi
2023
This article discusses the linear placement of the syntactic function of subject in Northern Mansi, concentrating on the less frequent non-clause-initial placement, and differences between the nature of subject in active (SA) and passive (SP) clauses. The study is realized as a template analysis. The main aim of this study is to elaborate and expand on my previous template analysis on Northern Mansi constituent order (Virtanen 2021), regarding the subjects of both active and passive clauses. The data used in the study are gathered from ÐÓ¯Ð¸Ð¼Ä ÑÑÌÑÐ¸Ð¿Ð¾Ñ [LÅ«imÄ SÄripos], the only up-to-date Mansi newspaper. The most remarkable result of this study is that the majority of the non-clause-initial subjects are pragmatically focal, which affects the linear placement of the subject. This finding does not overrule the earlier findings concerning the correlation between primary topic and subjects, but it refines the whole picture.
Journal Article