scholarly journals Recent Development of the Atomic Line List

Galaxies ◽  
2018 ◽  
Vol 6 (2) ◽  
pp. 63 ◽  
Author(s):  
Peter Van Hoof
Keyword(s):  
Transition Probabilities ◽  
Atomic Line ◽  
Spectral Features ◽  
Online Database ◽  
Web Interface ◽  
Paper Briefly ◽  
Line List ◽  
Atomic Lines ◽  
Set Up ◽  
The Web

The Atomic Line List is an online database of wavelengths and transition probabilities of atomic lines. It is primarily set up as a tool to help identify unknown spectral features. This paper briefly describes the web interface, how the line list is constructed, and what development is currently being undertaken for the next release.

scholarly journals Online Database for Retrieval Information about Prebiotics and Their Activity

2020 ◽  
Vol 10 (9) ◽  
pp. 3328
Author(s):  
Elena Guseva ◽  
Boris Karetkin ◽  
Diana Batyrgazieva ◽  
Natalia Menshutina ◽  
Victor Panfilov
Keyword(s):  
Chemical Nature ◽  
Scientific Information ◽  
Scientific Development ◽  
The Internet ◽  
Online Database ◽  
Web Interface ◽  
Web Page ◽  
Practical Development ◽  
On Line ◽  
The Web

The number of studies aimed at proving the prebiotic properties of certain substances or compositions has been actively increasing, which has led to a large accumulation of scientific information that is fragmented and not systematized. Moreover, a number of criteria have been applied in these studies. The lack of an accessible and convenient information space to compare the obtained results seems to hold back not only scientific development, but also practical development in this field. A database called the «On-line Database of Researches on Activity of Prebiotics» (ODRAP) is presented in this article, which contains information about both prebiotics and some probiotics, that were used in these researches. Currently, ODRAP collects 25 bacteria genera or their combinations, 59 bacteria species, 140 prebiotic substances, 61 prebiotic production companies, 2 methods of fermentation, and 271 analyzed articles from 2001 till 2019. To facilitate access to the database, a special Web-interface was created, which allows any user who opens the Web-page to obtain information about the features and activities of prebiotics, as well as to sort the data by species and genus of bacteria applied in tests, the chemical nature or source of prebiotics, and other parameters. The convenience of the Web-interface is that it allows access to the database, regardless of the user platform and from anywhere, via the Internet.

scholarly journals A Web Interface for Analyzing Hate Speech

2021 ◽  
Vol 13 (3) ◽  
pp. 80
Author(s):  
Lazaros Vrysis ◽  
Nikolaos Vryzas ◽  
Rigas Kotsakis ◽  
Theodora Saridou ◽  
Maria Matsiola ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Graphical User Interface ◽  
Hate Speech ◽  
Web Interface ◽  
Learning Models ◽  
Speech Detection ◽  
Media Services ◽  
The Web ◽  
Machine Learning Models

Social media services make it possible for an increasing number of people to express their opinion publicly. In this context, large amounts of hateful comments are published daily. The PHARM project aims at monitoring and modeling hate speech against refugees and migrants in Greece, Italy, and Spain. In this direction, a web interface for the creation and the query of a multi-source database containing hate speech-related content is implemented and evaluated. The selected sources include Twitter, YouTube, and Facebook comments and posts, as well as comments and articles from a selected list of websites. The interface allows users to search in the existing database, scrape social media using keywords, annotate records through a dedicated platform and contribute new content to the database. Furthermore, the functionality for hate speech detection and sentiment analysis of texts is provided, making use of novel methods and machine learning models. The interface can be accessed online with a graphical user interface compatible with modern internet browsers. For the evaluation of the interface, a multifactor questionnaire was formulated, targeting to record the users’ opinions about the web interface and the corresponding functionality.

MetaADEDB 2.0: a comprehensive database on adverse drug events

2020 ◽  
Author(s):  
Zhuohang Yu ◽  
Zengrui Wu ◽  
Weihua Li ◽  
Guixia Liu ◽  
Yun Tang
Keyword(s):  
Safety Assessment ◽  
Adverse Drug Events ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Supplementary Information ◽  
Online Database ◽  
Web Interface ◽  
Drug Discovery And Development ◽  
Comprehensive Information ◽  
User Friendly

Abstract Summary MetaADEDB is an online database we developed to integrate comprehensive information on adverse drug events (ADEs). The first version of MetaADEDB was released in 2013 and has been widely used by researchers. However, it has not been updated for more than seven years. Here, we reported its second version by collecting more and newer data from the U.S. FDA Adverse Event Reporting System (FAERS) and Canada Vigilance Adverse Reaction Online Database, in addition to the original three sources. The new version consists of 744 709 drug–ADE associations between 8498 drugs and 13 193 ADEs, which has an over 40% increase in drug–ADE associations compared to the previous version. Meanwhile, we developed a new and user-friendly web interface for data search and analysis. We hope that MetaADEDB 2.0 could provide a useful tool for drug safety assessment and related studies in drug discovery and development. Availability and implementation The database is freely available at: http://lmmd.ecust.edu.cn/metaadedb/. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Speech-based human emotion recognition

2021 ◽  
Author(s):  
Talieh Seyed Tabtabae
Keyword(s):  
Emotion Recognition ◽  
Emotional State ◽  
Speaker Identification ◽  
Recognition System ◽  
Research Area ◽  
Speech Signals ◽  
Spectral Features ◽  
Emotional States ◽  
Human Communication ◽  
Set Up

Automatic Emotion Recognition (AER) is an emerging research area in the Human-Computer Interaction (HCI) field. As Computers are becoming more and more popular every day, the study of interaction between humans (users) and computers is catching more attention. In order to have a more natural and friendly interface between humans and computers, it would be beneficial to give computers the ability to recognize situations the same way a human does. Equipped with an emotion recognition system, computers will be able to recognize their users' emotional state and show the appropriate reaction to that. In today's HCI systems, machines can recognize the speaker and also content of the speech, using speech recognition and speaker identification techniques. If machines are equipped with emotion recognition techniques, they can also know "how it is said" to react more appropriately, and make the interaction more natural. One of the most important human communication channels is the auditory channel which carries speech and vocal intonation. In fact people can perceive each other's emotional state by the way they talk. Therefore in this work the speech signals are analyzed in order to set up an automatic system which recognizes the human emotional state. Six discrete emotional states have been considered and categorized in this research: anger, happiness, fear, surprise, sadness, and disgust. A set of novel spectral features are proposed in this contribution. Two approaches are applied and the results are compared. In the first approach, all the acoustic features are extracted from consequent frames along the speech signals. The statistical values of features are considered to constitute the features vectors. Suport Vector Machine (SVM), which is a relatively new approach in the field of machine learning is used to classify the emotional states. In the second approach, spectral features are extracted from non-overlapping logarithmically-spaced frequency sub-bands. In order to make use of all the extracted information, sequence discriminant SVMs are adopted. The empirical results show that the employed techniques are very promising.

scholarly journals Development of the Web Users Self-Efficacy Scale (WUSE)

10.28945/3027 ◽  
2006 ◽  
Author(s):  
Peter Eachus ◽  
Simon Cassidy
Keyword(s):  
Self Efficacy ◽  
Reliability And Validity ◽  
Iterative Approach ◽  
Student Body ◽  
Web Based ◽  
North West ◽  
The North ◽  
The United Kingdom ◽  
Set Up ◽  
The Web

The aim of this research was to develop a scale that could evaluate an individuals confidence in using the Internet. Web-based resources are becoming increasingly important within higher education and it is therefore vital that students and staff feel confident and competent in the access, provision, and utilisation of these resources. The scale developed here represents an extension of previous research (Cassidy & Eachus, 2002) that developed a measure of self-efficacy in the context of computer use. An iterative approach was used in the development of the Web User SelfEfficacy scale (WUSE) and the participants were recruited from the student body of a large University in the North West of the United Kingdom, and globally via a web site set up for this purpose. Initial findings suggest that the scale has acceptable standards of reliability and validity though work is continuing to refine the scale and improve the psychometric properties of the tool.

NCBI submission protocol for microbial pathogen surveillance v2

2021 ◽  
Author(s):  
Ruth E Timme ◽  
Maria Balkey ◽  
Robyn Randolph ◽  
Julie Haendiges ◽  
Sai Laxmi Gubbala Venkata ◽  
...  
Keyword(s):  
Active Surveillance ◽  
Genome Sequence ◽  
Large Volume ◽  
Pathogen Detection ◽  
Sequence Data ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Web Interface ◽  
Data Submission ◽  
Set Up

PURPOSE: Step-by-step instructions for submitting pathogen whole genome sequence data to NCBI and to the NCBI Pathogen Detection portal. This protocol covers the steps needed to establish a new NCBI submission environment for your laboratory, including the creation of new BioProject(s) and submission groups. Once these are step up, the protocol then walks through the process for submitting raw reads to SRA and sample metadata to BioSample through the Submission portal. SCOPE: for use by any laboratory submitting WGS data for species under active surveillance within NCBI’s Pathogen Detection. (This includes US laboratories in GenomeTrakr, NARMS, Vet-LIRN, PulseNet, and other non-US networks and submitters). For new submitters, there's quite a bit of groundwork that needs to be established before a laboratory can start its first data submission. We recommend that one person in the laboratory take a few days to get everything set up in advance of when you expect to do your first data submission. If you need a pipeline for frequent or large volume submissions, follow Step 1 to get your NCBI submission environment established, then contact [email protected] to set up an account for submitting through the API. This protocol covers submission using NCBI's Submission Portal web-interface. Version history: V5: Linking directly to the metadata template guidance instead of including duplicate copies of the files in this protocol. Updated screenshot for choosing the pathogen template to reflect changes at NCBI. V4: updated screenshots to reflect NCBI submission portal changes. Updated custom BioSample template.

Intelligent Sockets for Home Automation and Security

2019 ◽  
pp. 252-279
Author(s):  
Bharath V. N. ◽  
Adyanth H. ◽  
Shreekanth T. ◽  
Nalina Suresh ◽  
Ananya M. B.
Keyword(s):  
Machine Learning ◽  
Facial Recognition ◽  
Learning System ◽  
Current Sensor ◽  
Home Network ◽  
Home Automation ◽  
Web Interface ◽  
Software Updates ◽  
The Web ◽  
Manual Mode

The intelligent sockets are an advancement in approach to better the features and convenience offered by the existing switchboards. All updates to the board are done via a separately kept server for the web interface which connects to the home network. The features provided to the user can be bettered progressively via software updates. Features like timers which work in both automatic and manual mode, security aspect via surveillance and facial recognition, overload and usage logging with the help of the current sensor is provided. The data is also verified with the actual meter for accuracy and as a check for tampering. The data so gathered can also be used for prediction using machine learning. System first classifies various types of analog meters. Right now, the lbph classifier is trained to detect analog meter with needle and Analog meter with text readings.

Security Vulnerabilities, Threats, and Attacks in IoT and Big Data

2020 ◽  
pp. 141-167
Author(s):  
Prabha Selvaraj ◽  
Sumathi Doraikannan ◽  
Vijay Kumar Burugari
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Big Data Analytics ◽  
Cloud Services ◽  
Web Interface ◽  
Security Vulnerabilities ◽  
New Techniques ◽  
Iot Security ◽  
Web Interfaces ◽  
The Web

Big data and IoT has its impact on various areas like science, health, engineering, medicine, finance, business, and mainly, the society. Due to the growth in security intelligence, there is a requirement for new techniques which need big data and big data analytics. IoT security does not alone deal with the security of the device, but it also has to care about the web interfaces, cloud services, and other devices that interact with it. There are many techniques used for addressing challenges like privacy of individuals, inference, and aggregation, which makes it possible to re-identify individuals' even though they are removed from a dataset. It is understood that a few security vulnerabilities could lead to insecure web interface. This chapter discusses the challenges in security and how big data can be used for it. It also analyzes the various attacks and threat modeling in detail. Two case studies in two different areas are also discussed.

OO-H Method

2003 ◽  
pp. 144-173 ◽  
Author(s):  
Jaime Gomez ◽  
Cristina Cachero
Keyword(s):  
Software Engineering ◽  
Code Generation ◽  
Web Applications ◽  
Object Oriented ◽  
Generation Process ◽  
Interface Model ◽  
Web Interface ◽  
Web Environment ◽  
Technical Requirements ◽  
The Web

The mostly “creative” authoring process used to develop many Web applications during the last years has already proven unsuccessful to tackle, with its increasing complexity, both in terms of user and technical requirements. This fact has nurtured a mushrooming of proposals, most based on conceptual models, that aim at facilitating the development, maintenance and assessment of Web applications, thus improving the reliability of the Web development process. In this chapter, we will show how traditional software engineering approaches can be extended to deal with the Web idiosyncrasy, taking advantage of proven successful notation and techniques for common tasks, while adding models and constructs needed to capture the nuances of the Web environment. In this context, our proposal, the Object-Oriented Hypermedia (OO-H) Method, developed at University of Alicante, provides a set of new views that extend UML to provide a Web interface model. A code generation process is able to, departing from such diagrams and their associated tagged values, generate a Web interface capable of connecting to underlying business modules.

Establishing the Credibility of Social Web Applications

2011 ◽  
pp. 1432-1437
Author(s):  
Pankaj Kamthan
Keyword(s):  
Web 2.0 ◽  
Web Applications ◽  
Future Research ◽  
Social Web ◽  
The People ◽  
Different Types ◽  
Set Up ◽  
The Web

In recent years, there has been a steady shift in the nature of Web applications. The vehicle of this transition of Web applications is us, the people. The ability to post photographs or videos, exchange music snippets with peers, and annotate a piece of information, are but a few exemplars of this phenomenon. Indeed, the pseudonym Web 2.0 (O’Reilly, 2005) has been used to describe the apparent “socialization” of the Web. In spite of the significant prospects offered by humancentric Web applications, the mere fact that virtually anyone can set up such applications claiming to sell products and services or upload/post unscrutinized information on a topic as being “definitive,” raises the issues of credibility from a consumers’ viewpoint. Therefore, establishing credibility is essential for an organization’s reputation and for building consumers’ trust. The rest of the article is organized as follows. We first provide the background necessary for later discussion. This is followed by the introduction of a framework within which different types of credibility in the context of human-centric Web applications can be systematically addressed and thereby improved. Next, challenges and directions for future research are outlined. Finally, concluding remarks are given.

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