scholarly journals On spectral analysis of the Internet delay space and detecting anomalous routing paths

2019 ◽  
pp. 738-751
Author(s):  
Gonca GÜRSUN
Keyword(s):  
Performance Metrics ◽  
Principal Component ◽  
The Internet ◽  
Robust Principal Component Analysis ◽  
Current State ◽  
Wide Range ◽  
The Matrix ◽  
Low Dimensionality ◽  
Underlying Mechanisms ◽  
Delay Space

Latency is one of the most critical performance metrics for a wide range of applications. Therefore, it is important to understand the underlying mechanisms that give rise to the observed latency values and diagnose the ones that are unexpectedly high. In this paper, we study the Internet delay space via robust principal component analysis (RPCA). Using RPCA, we show that the delay space, i.e. the matrix of measured round trip times between end hosts, can be decomposed into two components: the estimated latency between end hosts with respect to the current state of the Internet and the inflation on the paths between the end hosts. Using this decomposition, first we study the well- known low-dimensionality phenomena of the delay space and ask what properties of the end hosts define the dimensions. Second, using the decomposition, we develop a filtering method to detect the paths that experience unexpected latencies and identify routing anomalies. We show that our filter successfully identifies an anomalous route even when its observed latency is not obviously high in magnitude.

scholarly journals Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Yue Hu ◽  
Jin-Xing Liu ◽  
Ying-Lian Gao ◽  
Sheng-Jun Li ◽  
Juan Wang
Keyword(s):  
Principal Component Analysis ◽  
Differentially Expressed Genes ◽  
Principal Component ◽  
Component Analysis ◽  
Differentially Expressed ◽  
Low Rank ◽  
Cancer Gene ◽  
Sequencing Data ◽  
Robust Principal Component Analysis ◽  
The Matrix

In the big data era, sequencing technology has produced a large number of biological sequencing data. Different views of the cancer genome data provide sufficient complementary information to explore genetic activity. The identification of differentially expressed genes from multiview cancer gene data is of great importance in cancer diagnosis and treatment. In this paper, we propose a novel method for identifying differentially expressed genes based on tensor robust principal component analysis (TRPCA), which extends the matrix method to the processing of multiway data. To identify differentially expressed genes, the plan is carried out as follows. First, multiview data containing cancer gene expression data from different sources are prepared. Second, the original tensor is decomposed into a sum of a low-rank tensor and a sparse tensor using TRPCA. Third, the differentially expressed genes are considered to be sparse perturbed signals and then identified based on the sparse tensor. Fourth, the differentially expressed genes are evaluated using Gene Ontology and Gene Cards tools. The validity of the TRPCA method was tested using two sets of multiview data. The experimental results showed that our method is superior to the representative methods in efficiency and accuracy aspects.

scholarly journals Management of Potential Data on Websites for Communicating Research in Education Issue

2019 ◽  
Vol 9 (1) ◽  
pp. 3119-3122
Keyword(s):  
Web Sites ◽  
Wide Spectrum ◽  
Relevant Literature ◽  
The Internet ◽  
Current State ◽  
Large Numbers ◽  
Wide Range ◽  
Research In Education ◽  
State Of Research ◽  
Selection Of

This research is concentrated in the increasing of education issue studies using the management of potential data on Websites for Communicating Research in the field of Education. This research relates with several web sites, i.e: https://puspendik.kemdikbud.go.id/hasil-un/, and https://dapo.dikdasmen.kemdikbud.go.id/sekolah/ Furthermore, this research is also purposed in order to elucidate the potentials and challenges of internet data for education to demonstrate a selection of relevant literature so that a wide spectrum of topics can be reached. A part of this data represents a large and increasing part of everyday life which sometimes could not be measured. The data used are a timely data which are potentially following a factual process, moreover they typically involve large numbers of observations, and they allow for flexible conceptual forms and experimental settings. In this paper, the data that are gained will be managed such that some academic articles are produced. Some data at the Internet had successfully been applied to a very wide range of detecting education issues (e.g. spatial analysis for relation a number of male and female students and score of mathematics and foreign languages test), we review the current literature attempts to incorporate the Internet data into the mainstream of scholarly empirical research in our research and guide the reader through this Special Issue. We provide some insights and a brief overview of the current state of research.

scholarly journals A Nonconvex Projection Method for Robust PCA

2019 ◽  
Vol 33 ◽  
pp. 1468-1476 ◽  
Author(s):  
Aritra Dutta ◽  
Filip Hanzely ◽  
Peter Richtàrik
Keyword(s):  
Galaxy Evolution ◽  
Projection Method ◽  
Convex Relaxation ◽  
Principal Component ◽  
Low Rank ◽  
Convex Constraints ◽  
Robust Principal Component Analysis ◽  
Background Estimation ◽  
Current State ◽  
Alternating Projection Method

Robust principal component analysis (RPCA) is a well-studied problem whose goal is to decompose a matrix into the sum of low-rank and sparse components. In this paper, we propose a nonconvex feasibility reformulation of RPCA problem and apply an alternating projection method to solve it. To the best of our knowledge, this is the first paper proposing a method that solves RPCA problem without considering any objective function, convex relaxation, or surrogate convex constraints. We demonstrate through extensive numerical experiments on a variety of applications, including shadow removal, background estimation, face detection, and galaxy evolution, that our approach matches and often significantly outperforms current state-of-the-art in various ways.

scholarly journals Emerging IoT domains, current standings and open research challenges: a review

2021 ◽  
Vol 7 ◽  
pp. e659
Author(s):  
Omer Ali ◽  
Mohamad Khairi Ishak ◽  
Muhammad Kamran Liaquat Bhatti
Keyword(s):  
Internet Of Things ◽  
Communication Technologies ◽  
The Internet ◽  
Diverse Range ◽  
Ultra Low Power ◽  
Current State ◽  
Wide Range ◽  
Iot Devices ◽  
Art Research ◽  
Motivating Factor

Over the last decade, the Internet of Things (IoT) domain has grown dramatically, from ultra-low-power hardware design to cloud-based solutions, and now, with the rise of 5G technology, a new horizon for edge computing on IoT devices will be introduced. A wide range of communication technologies has steadily evolved in recent years, representing a diverse range of domain areas and communication specifications. Because of the heterogeneity of technology and interconnectivity, the true realisation of the IoT ecosystem is currently hampered by multiple dynamic integration challenges. In this context, several emerging IoT domains necessitate a complete re-modeling, design, and standardisation from the ground up in order to achieve seamless IoT ecosystem integration. The Internet of Nano-Things (IoNT), Internet of Space-Things (IoST), Internet of Underwater-Things (IoUT) and Social Internet of Things (SIoT) are investigated in this paper with a broad future scope based on their integration and ability to source other IoT domains by highlighting their application domains, state-of-the-art research, and open challenges. To the best of our knowledge, there is little or no information on the current state of these ecosystems, which is the motivating factor behind this article. Finally, the paper summarises the integration of these ecosystems with current IoT domains and suggests future directions for overcoming the challenges.

Review of the Current State and Future Development in Standardising Artificial Lighting

2019 ◽  
pp. 4-44 ◽  
Author(s):  
Peter Thorns
Keyword(s):  
Internet Of Things ◽  
Future Development ◽  
Best Practice ◽  
The Internet ◽  
Artificial Lighting ◽  
Current State ◽  
Internal Structures ◽  
European Regulations ◽  
The Internet Of Things

This paper discusses the organisations involved in the development of application standards, European regulations and best practice guides, their scope of work and internal structures. It considers their respective visions for the requirements for future standardisation work and considers in more detail those areas where these overlap, namely human centric or integrative lighting, connectivity and the Internet of Things, inclusivity and sustainability.

Creative Strategy Used in Electronic Advertising

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 597-606
Author(s):  
Dr. Maha Mustafa Omer Abdalaziz
Keyword(s):  
The Internet ◽  
Business Organizations ◽  
Creative Strategy ◽  
Electronic Environment ◽  
Wide Range ◽  
The World ◽  
Technological Developments ◽  
Electronic Advertising

The study aims at the technological developments that are taking place in the world and have impacted on all sectors and fields and imposed on the business organizations and commercial companies to carry out their marketing and promotional activities within the electronic environment. The most prominent of these developments is the emergence of the concept of electronic advertising which opened a wide range of companies and businessmen to advertise And to promote their products and their work easily through the Internet, which has become full of electronic advertising, and in light of that will discuss the creative strategy used in electronic advertising;

Young Scholars Conference “Slavic World: Commonality and Diversity”. 21–22 May 2019. Session “Linguistics”

2019 ◽  
Vol 14 (1-2) ◽  
pp. 295-297
Author(s):  
Sergej A. Borisov
Keyword(s):  
Czech Republic ◽  
Middle Ages ◽  
The Czech Republic ◽  
International Context ◽  
Slavic Languages ◽  
Russian Academy Of Sciences ◽  
Current State ◽  
Wide Range ◽  
History Of ◽  
Academy Of Sciences

For more than twenty years, the Institute of Slavic Studies of the Russian Academy of Sciences celebrates the Day of Slavic Writing and Culture with a traditional scholarly conference.”. Since 2014, it has been held in the young scholars’ format. In 2019, participants from Moscow, St. Petersburg, Kazan, Togliatti, Tyumen, Yekaterinburg, and Rostov-on-Don, as well as Slovakia, the Czech Republic, Hungary, and Romania continued this tradition. A wide range of problems related to the history of the Slavic peoples from the Middle Ages to the present time in the national, regional and international context were discussed again. Participants talked about the typology of Slavic languages and dialects, linguo-geography, socio- and ethnolinguistics, analyzed formation, development, current state, and prospects of Slavic literatures, etc.

It is better an approximate answer to the right question than the exact answer to the wrong question : the case of the psychometric analysis of the ASQ:SE

2020 ◽  
Author(s):  
Luis Anunciacao ◽  
janet squires ◽  
J. Landeira-Fernandez
Keyword(s):  
Internal Structure ◽  
Statistical Methods ◽  
Principal Component ◽  
Psychological Theory ◽  
Published Data ◽  
Multivariate Statistical ◽  
Exact Answer ◽  
Wide Range ◽  
Ages And Stages Questionnaire ◽  
The Right

One of the main activities in psychometrics is to analyze the internal structure of a test. Multivariate statistical methods, including Exploratory Factor analysis (EFA) and Principal Component Analysis (PCA) are frequently used to do this, but the growth of Network Analysis (NA) places this method as a promising candidate. The results obtained by these methods are of valuable interest, as they not only produce evidence to explore if the test is measuring its intended construct, but also to deal with the substantive theory that motivated the test development. However, these different statistical methods come up with different answers, providing the basis for different analytical and theoretical strategies when one needs to choose a solution. In this study, we took advantage of a large volume of published data (n = 22,331) obtained by the Ages and Stages Questionnaire Social-Emotional (ASQ:SE), and formed a subset of 500 children to present and discuss alternative psychometric solutions to its internal structure, and also to its subjacent theory. The analyses were based on a polychoric matrix, the number of factors to retain followed several well-known rules of thumb, and a wide range of exploratory methods was fitted to the data, including EFA, PCA, and NA. The statistical outcomes were divergent, varying from 1 to 6 domains, allowing a flexible interpretation of the results. We argue that the use of statistical methods in the absence of a well-grounded psychological theory has limited applications, despite its appeal. All data and codes are available at https://osf.io/z6gwv/.

Does Vitamin K Intake Influence High Phosphate Induced Vascular Pseudo-ossification: An Underappreciated Therapeutic Prospect in General Population?

2019 ◽  
Vol 20 (4) ◽  
pp. 421-430
Author(s):  
Zar Chi Thent ◽  
Gabriele R.A. Froemming ◽  
Suhaila Abd Muid
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Vascular Calcification ◽  
Vitamin K ◽  
Prolonged Exposure ◽  
Vascular Complication ◽  
Key Factors ◽  
The Matrix ◽  
Underlying Mechanisms ◽  
High Phosphate

Increasing interest in vascular pseudo-ossification has alarmed the modern atherosclerotic society. High phosphate is one of the key factors in vascular pseudo ossification, also known as vascular calcification. The active process of deposition of the phosphate crystals in vascular tissues results in arterial stiffness. High phosphate condition is mainly observed in chronic kidney disease patients. However, prolonged exposure with high phosphate enriched foods such as canned drinks, dietary foods, etc. can be considered as modifiable risk factors for vascular complication in a population regardless of chronic kidney disease. High intake of vitamin K regulates the vascular calcification by exerting its anti-calcification effect. The changes in serum phosphate and vitamin K levels in a normal individual with high phosphate intake are not well investigated. This review summarised the underlying mechanisms of high phosphate induced vascular pseudo ossification such as vascular transdifferentiation, vascular apoptosis and phosphate uptake by sodium-dependent co-transporters. Pubmed, Science Direct, Scopus, ISI Web of Knowledge and Google Scholar were searched using the terms ‘vitamin K’, ‘vascular calcification, ‘phosphate’, ‘transdifferentiation’ and ‘vascular pseudoossification’. Vitamin K certainly activates the matrix GIA protein and inhibits vascular transition and apoptosis in vascular pseudo-ossification. The present view highlighted the possible therapeutic linkage between vitamin K and the disease. Understanding the role of vitamin K will be considered as potent prophylaxis agent against the vascular disease in near future.

scholarly journals From Micro to Long: Non-Coding RNAs in Tamoxifen Resistance of Breast Cancer Cells

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3688
Author(s):  
Jéssica Fernanda Barazetti ◽  
Tayana Shultz Jucoski ◽  
Tamyres Mingorance Carvalho ◽  
Rafaela Nasser Veiga ◽  
Ana Flávia Kohler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Hormone Receptor ◽  
Estrogen Receptor Alpha ◽  
Expression Patterns ◽  
Tamoxifen Resistance ◽  
Hormone Receptor Positive ◽  
Current State ◽  
Main Driver ◽  
Underlying Mechanisms ◽  
Multiple Signaling

Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer mortality among women. Two thirds of patients are classified as hormone receptor positive, based on expression of estrogen receptor alpha (ERα), the main driver of breast cancer cell proliferation, and/or progesterone receptor, which is regulated by ERα. Despite presenting the best prognosis, these tumors can recur when patients acquire resistance to treatment by aromatase inhibitors or antiestrogen such as tamoxifen (Tam). The mechanisms that are involved in Tam resistance are complex and involve multiple signaling pathways. Recently, roles for microRNAs and lncRNAs in controlling ER expression and/or tamoxifen action have been described, but the underlying mechanisms are still little explored. In this review, we will discuss the current state of knowledge on the roles of microRNAs and lncRNAs in the main mechanisms of tamoxifen resistance in hormone receptor positive breast cancer. In the future, this knowledge can be used to identify patients at a greater risk of relapse due to the expression patterns of ncRNAs that impact response to Tam, in order to guide their treatment more efficiently and possibly to design therapeutic strategies to bypass mechanisms of resistance.

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