scholarly journals Recent Advances and Challenges in XML Document Routing

2010 ◽  
pp. 136-150
Author(s):  
Mirella M. Moro ◽  
Zografoula Vagena ◽  
Vassilis J. Tsotras
Keyword(s):  
Data Exchange ◽  
State Of The Art ◽  
Data Delivery ◽  
Open Problems ◽  
Ip Address ◽  
Current State ◽  
Recent Advances ◽  
Xml Document

Content-based routing is a form of data delivery whereby the flow of messages is driven by their content rather than the IP address of their destination. With the recognition of XML as the standard for data exchange, specialized XML routing services become necessary. In this chapter, the authors first demonstrate the relevance of such systems by presenting different world application scenarios where XML routing systems are needed and/or employed. Then, they present a survey of the current state of the art. Lastly, they attempt to identify issues and problems that have yet to be investigated. Their discussion will help identify open problems and issues and suggest directions for further research in the context of such systems.

scholarly journals Knocking on IPs: Identifying HTTPS Websites for Zero-Rated Traffic

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Mariano Di Martino ◽  
Peter Quax ◽  
Wim Lamotte
Keyword(s):  
Experimental Analysis ◽  
Service Providers ◽  
State Of The Art ◽  
Domain Name ◽  
Internet Service ◽  
Ip Address ◽  
Identification Methods ◽  
Current State ◽  
Novel Approach ◽  
Current Zero

Zero-rating is a technique where internet service providers (ISPs) allow consumers to utilize a specific website without charging their internet data plan. Implementing zero-rating requires an accurate website identification method that is also efficient and reliable to be applied on live network traffic. In this paper, we examine existing website identification methods with the objective of applying zero-rating. Furthermore, we demonstrate the ineffectiveness of these methods against modern encryption protocols such as Encrypted SNI and DNS over HTTPS and therefore show that ISPs are not able to maintain the current zero-rating approaches in the forthcoming future. To address this concern, we present “Open-Knock,” a novel approach that is capable of accurately identifying a zero-rated website, thwarts free-riding attacks, and is sustainable on the increasingly encrypted web. In addition, our approach does not require plaintext protocols or preprocessed fingerprints upfront. Finally, our experimental analysis unveils that we are able to convert each IP address to the correct domain name for each website in the Tranco top 6000 websites list with an accuracy of 50.5% and therefore outperform the current state-of-the-art approaches.

scholarly journals State of the art, recent advances, and challenges in the field of fungal mycelium materials: a snapshot of the 2021 Mini Meeting

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Noam Attias ◽  
Achiya Livne ◽  
Tiffany Abitbol
Keyword(s):  
State Of The Art ◽  
Academic Disciplines ◽  
Fungal Mycelium ◽  
Field Of Study ◽  
Material Development ◽  
Current State ◽  
Recent Advances ◽  
The Future ◽  
Sustainable Materials

AbstractMaterial development based on fungal mycelium is a fast-rising field of study as researchers, industry, and society actively search for new sustainable materials to address contemporary material challenges. The compelling potential of fungal mycelium materials is currently being explored in relation to various applications, including construction, packaging, “meatless” meat, and leather-like textiles. Here, we highlight the discussions and outcomes from a recent 1-day conference on the topic of fungal mycelium materials (“Fungal Mycelium Materials Mini Meeting”), where a group of researchers from diverse academic disciplines met to discuss the current state of the art, their visions for the future of the material, and thoughts on the challenges surrounding widescale implementation.

scholarly journals Stability and reactivity control of carbenoids: recent advances and perspectives

2016 ◽  
Vol 52 (81) ◽  
pp. 12011-12023 ◽  
Author(s):  
Viktoria H. Gessner
Keyword(s):  
State Of The Art ◽  
Main Group ◽  
Feature Article ◽  
Group Metal ◽  
Current State ◽  
Recent Advances ◽  
Main Group Metal ◽  
Metal Carbenoids ◽  
Novel Applications

This feature article highlights the current state of the art in the chemistry of main group metal carbenoids with focus on stability and reactivity control and novel applications.

Critical Analysis of Digital Steganography

2011 ◽  
pp. 352-382
Author(s):  
Hafiz Malik
Keyword(s):  
Performance Analysis ◽  
Information Hiding ◽  
Critical Analysis ◽  
State Of The Art ◽  
Covert Channel ◽  
Covert Communication ◽  
Open Problems ◽  
Current State ◽  
Channel Type

This chapter provides critical analysis of current state-of-the-art in steganography. First part of the this chapter provides the classification of steganography based on the underlying information hiding methodology used and covert-channel type, and desired features of the information hiding used for covert communication. This chapter also discusses various known steganalysis techniques developed to counteract the covert-communication and highlights limitations of existing steganographic techniques. Performance analysis of commonly used shareware/freeware steganographic tools and steganalysis tools is also provided in this chapter. Some open problems in covert-communication are also discussed.

The mobile revolution – Machine intelligence for autonomous vehicles

2015 ◽  
Vol 57 (3) ◽  
Author(s):  
Markus Enzweiler
Keyword(s):  
Autonomous Vehicles ◽  
Large Scale ◽  
State Of The Art ◽  
Machine Intelligence ◽  
Open Problems ◽  
Research Directions ◽  
Current State ◽  
Transportation Behavior ◽  
Open Issues

AbstractWhat started as a distant vision just a few decades ago is quickly becoming reality. Autonomous vehicles are about to be deployed on a large scale and will fundamentally change our transportation behavior. In this particular application, extreme demands on reliability and quality give rise to numerous problems and open issues that need to be jointly identified and addressed by both academia and industry. In this article, we present an overview of the current state-of-the-art in the field of intelligent autonomous vehicles. We further discuss open problems and current research directions.

scholarly journals 12 Grand Challenges in Single-Cell Data Science

2019 ◽  
Author(s):  
David Laehnemann ◽  
Johannes Köster ◽  
Ewa Szczurek ◽  
Davis J McCarthy ◽  
Stephanie C Hicks ◽  
...  
Keyword(s):  
Single Cell ◽  
Cell Biology ◽  
Data Science ◽  
Single Cell Analysis ◽  
State Of The Art ◽  
Cell Analysis ◽  
Open Problems ◽  
Single Cell Sequencing ◽  
Current State ◽  
Cell Data

The recent upswing of microfluidics and combinatorial indexing strategies, further enhanced by very low sequencing costs, have turned single cell sequencing into an empowering technology; analyzing thousands—or even millions—of cells per experimental run is becoming a routine assignment in laboratories worldwide. As a consequence, we are witnessing a data revolution in single cell biology. Although some issues are similar in spirit to those experienced in bulk sequencing, many of the emerging data science problems are unique to single cell analysis; together, they give rise to the new realm of 'Single-Cell Data Science'. Here, we outline twelve challenges that will be central in bringing this new field forward. For each challenge, the current state of the art in terms of prior work is reviewed, and open problems are formulated, with an emphasis on the research goals that motivate them. This compendium is meant to serve as a guideline for established researchers, newcomers and students alike, highlighting interesting and rewarding problems in 'Single-Cell Data Science' for the coming years.

scholarly journals 12 Grand challenges in single-cell data science

2019 ◽  
Author(s):  
David Laehnemann ◽  
Johannes Köster ◽  
Ewa Szcureck ◽  
Davis McCarthy ◽  
Stephanie C Hicks ◽  
...  
Keyword(s):  
Single Cell ◽  
Cell Biology ◽  
Data Science ◽  
Single Cell Analysis ◽  
State Of The Art ◽  
Cell Analysis ◽  
Open Problems ◽  
Single Cell Sequencing ◽  
Current State ◽  
Cell Data

The recent upswing of microfluidics and combinatorial indexing strategies, further enhanced by very low sequencing costs, have turned single cell sequencing into an empowering technology; analyzing thousands—or even millions—of cells per experimental run is becoming a routine assignment in laboratories worldwide. As a consequence, we are witnessing a data revolution in single cell biology. Although some issues are similar in spirit to those experienced in bulk sequencing, many of the emerging data science problems are unique to single cell analysis; together, they give rise to the new realm of 'Single Cell Data Science'. Here, we outline twelve challenges that will be central in bringing this new field forward. For each challenge, the current state of the art in terms of prior work is reviewed, and open problems are formulated, with an emphasis on the research goals that motivate them. This compendium is meant to serve as a guideline for established researchers, newcomers and students alike, highlighting interesting and rewarding problems in 'Single Cell Data Science' for the coming years.

scholarly journals MATHEMATICAL MODELLING OF GLIOBLASTOMA TUMOUR DEVELOPMENT: A REVIEW

2005 ◽  
Vol 15 (11) ◽  
pp. 1779-1794 ◽  
Author(s):  
HARALAMPOS HATZIKIROU ◽  
ANDREAS DEUTSCH ◽  
CARLO SCHALLER ◽  
MATTHIAS SIMON ◽  
KRISTIN SWANSON
Keyword(s):  
Mathematical Modelling ◽  
Tumour Growth ◽  
State Of The Art ◽  
Vascular Tumour ◽  
Open Problems ◽  
Malignant Brain Tumour ◽  
The Past ◽  
Research Perspectives ◽  
Current State ◽  
New Research

During the past several years mathematical models have been applied to various aspects of cancer dynamics, in particular avascular and vascular tumour growth, invasion, angiogenesis, and metastasis. This paper focuses on the most common and malignant brain tumour, glioblastoma, and surveys the growing number of studies dealing with mathematical modelling of this tumour. We attempt to classify these studies by their biomedical relevance and critically analyse their results. The aim of this review is to provide a meaningful reference, to both biomedical and mathematical researchers, of the current state of the art of glioma tumour modelling. The discussion attempts to identify current open problems as well as new research perspectives in the mathematical modelling of glioblastoma growth.

scholarly journals 12 Grand Challenges in Single-Cell Data Science

2019 ◽  
Author(s):  
David Laehnemann ◽  
Johannes Köster ◽  
Ewa Szczurek ◽  
Davis J McCarthy ◽  
Stephanie C Hicks ◽  
...  
Keyword(s):  
Single Cell ◽  
Cell Biology ◽  
Data Science ◽  
Single Cell Analysis ◽  
State Of The Art ◽  
Cell Analysis ◽  
Open Problems ◽  
Single Cell Sequencing ◽  
Current State ◽  
Cell Data

The recent upswing of microfluidics and combinatorial indexing strategies, further enhanced by very low sequencing costs, have turned single cell sequencing into an empowering technology; analyzing thousands—or even millions—of cells per experimental run is becoming a routine assignment in laboratories worldwide. As a consequence, we are witnessing a data revolution in single cell biology. Although some issues are similar in spirit to those experienced in bulk sequencing, many of the emerging data science problems are unique to single cell analysis; together, they give rise to the new realm of 'Single-Cell Data Science'. Here, we outline twelve challenges that will be central in bringing this new field forward. For each challenge, the current state of the art in terms of prior work is reviewed, and open problems are formulated, with an emphasis on the research goals that motivate them. This compendium is meant to serve as a guideline for established researchers, newcomers and students alike, highlighting interesting and rewarding problems in 'Single-Cell Data Science' for the coming years.

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