scholarly journals NeuroNLP: a natural language portal for aggregated fruit fly brain data

2016 ◽  
Author(s):  
Nikul H. Ukani ◽  
Adam Tomkins ◽  
Chung-Heng Yeh ◽  
Wesley Bruning ◽  
Allison L. Fenichel ◽  
...  
Keyword(s):  
Natural Language ◽  
3D Visualization ◽  
Fruit Fly ◽  
Multiple Sources ◽  
Web Based ◽  
Brain Circuits ◽  
Complex Circuits ◽  
Brain Data ◽  
Biological Circuits ◽  
The Impact

SummaryNeuroNLP, is a key application on the Fruit Fly Brain Observatory platform (FFBO, http://fruitflybrain.org), that provides a modern web-based portal for navigating fruit fly brain circuit data. Increases in the availability and scale of fruit fly connectome data, demand new, scalable and accessible methods to facilitate investigation into the functions of the latest complex circuits being uncovered. NeuroNLP enables in-depth exploration and investigation of the structure of brain circuits, using intuitive natural language queries that are capable of revealing the latent structure and information, obscured due to expansive yet independent data sources. NeuroNLP is built on top of a database system call NeuroArch that codifies knowledge about the fruit fly brain circuits, spanning multiple sources. Users can probe biological circuits in the NeuroArch database with plain English queries, such as “show glutamatergic local neurons in the left antennal lobe” and “show neurons with dendrites in the left mushroom body and axons in the fan-shaped body”. This simple yet powerful interface replaces the usual, cumbersome checkboxes and dropdown menus prevalent in today’s neurobiological databases. Equipped with powerful 3D visualization, NeuroNLP standardizes tools and methods for graphical rendering, representation, and manipulation of brain circuits, while integrating with existing databases such as the FlyCircuit. The userfriendly graphical user interface complements the natural language queries with additional controls for exploring the connectivity of neurons and neural circuits. Designed with an open-source, modular structure, it is highly scalable/flexible/extensible to additional databases or to switch between databases and supports the creation of additional parsers for other languages. By supporting access through a web browser from any modern laptop or smartphone, NeuroNLP significantly increases the accessibility of fruit fly brain data and improves the impact of the data in both scientific and educational exploration.

scholarly journals The Fruit Fly Brain Observatory: from structure to function

2016 ◽  
Author(s):  
Nikul H. Ukani ◽  
Chung-Heng Yeh ◽  
Adam Tomkins ◽  
Yiyin Zhou ◽  
Dorian Florescu ◽  
...  
Keyword(s):  
Neural Circuit ◽  
Structural Data ◽  
Fruit Fly ◽  
Biological Data ◽  
Multiple Sources ◽  
Full Data ◽  
Open Platform ◽  
Brain Circuits ◽  
Brain Data ◽  
High Flexibility

SummaryThe Fruit Fly Brain Observatory (FFBO) is a collaborative effort between experimentalists, theorists and computational neuroscientists at Columbia University, National Tsing Hua University and Sheffield University with the goal to (i) create an open platform for the emulation and biological validation of fruit fly brain models in health and disease, (ii) standardize tools and methods for graphical rendering, representation and manipulation of brain circuits, (iii) standardize tools for representation of fruit fly brain data and its abstractions and support for natural language queries, (iv) create a focus for the neuroscience community with interests in the fruit fly brain and encourage the sharing of fruit fly brain structural data and executable code worldwide. NeuroNLP and NeuroGFX, two key FFBO applications, aim to address two major challenges, respectively: i) seamlessly integrate structural and genetic data from multiple sources that can be intuitively queried, effectively visualized and extensively manipulated, ii) devise executable brain circuit models anchored in structural data for understanding and developing novel hypotheses about brain function. NeuroNLP enables researchers to use plain English (or other languages) to probe biological data that are integrated into a novel database system, called NeuroArch, that we developed for integrating biological and abstract data models of the fruit fly brain. With powerful 3D graphical visualization, NeuroNLP presents a highly accessible portal for the fruit fly brain data. NeuroGFX provides users highly intuitive tools to execute neural circuit models with Neurokernel, an open-source platform for emulating the fruit fly brain, with full data support from the NeuroArch database and visualization support from an interactive graphical interface. Brain circuits can be configured with high flexibility and investigated on multiple levels, e.g., whole brain, neuropil, and local circuit levels. The FFBO is publicly available and accessible at http://fruitflybrain.org from any modern web browsers, including those running on smartphones.

scholarly journals Your womb, your choice! Making an informed decision regarding the timing of pregnancy following miscarriage

2020 ◽  
Author(s):  
Faizan Shah ◽  
Sohinee Bhattacharya ◽  
Kathleen Lamont ◽  
Heather May Morgan
Keyword(s):  
Patient Information ◽  
World Health ◽  
Online Information ◽  
Reproductive Choice ◽  
Multiple Sources ◽  
Web Based ◽  
Normal Period ◽  
Discussion Threads ◽  
Health Organization ◽  
The Impact

The ideal interpregnancy interval (IPI) following a miscarriage is controversial as the World Health Organization (WHO) advise women to delay pregnancy for at least six months. Subsequent research has found that IPI less than six months is beneficial for both mother and baby. The impact of this guidance on the decision-making process for couples/women in this predicament is unknown. Views of women regarding the optimum IPI following miscarriage were investigated using a thematic framework applied to discussion threads from a popular online forum, Mumsnet (www.mumsnet.com). A systematic search of all online information was also undertaken to identify all relevant patient information regarding conceiving another pregnancy after a miscarriage. The findings from the search were tabulated and analysed in relation to the themes identified from the discussion threads on Mumsnet. Ninety-four discussion threads were included. Women saw no reason to wait if they felt ready. Women posted about their frustrations at the multiple sources of conflicting advice they received, at the lack of professional sympathy and felt that being told to wait before trying to conceive after a miscarriage was outdated advice. However, these findings were not corroborated by the patient information currently available online. All web-based patient information gave consistent advice, to wait for at least one normal period before trying to conceive again after a miscarriage and to try for another pregnancy when they felt physically mentally and emotionally ready. None advised waiting for six months. This study highlights that sometimes despite contradictory clinical advice, women are keen to make their own decisions regarding reproductive choice. These decisions are often empowered by peer support and advice which women trust over inconsistent information received from healthcare professionals. In this case, health information appears to have been updated in response to womens choice rather than the other way around.

scholarly journals The Fruit Fly Brain Observatory: From Structure to Function

2019 ◽  
Author(s):  
Nikul H. Ukani ◽  
Chung-Heng Yeh ◽  
Adam Tomkins ◽  
Yiyin Zhou ◽  
Dorian Florescu ◽  
...  
Keyword(s):  
Computational Models ◽  
Brain Research ◽  
Model Organism ◽  
Fruit Fly ◽  
Data Repositories ◽  
Brain Circuits ◽  
Multiple Data ◽  
Computer Scientists ◽  
Brain Data ◽  
The Brain

AbstractThe fruit fly is a key model organism for studying the activity of interconnected brain circuits. A large scattered global research community of neurobiologists and neurogeneticists, computational and theoretical neuroscientists, and computer scientists and engineers has been developing a vast trove of experimental and modeling data that has yet to be distilled into new knowledge and understanding of the functional logic of the brain. Developing open shared models, modelling tools and data repositories that can be accessed from anywhere in the world is the necessary engine for accelerating our understanding of how the brain works.To that end we developed the Fruit Fly Brain Observatory (FFBO), the next generation open-source platform to support open, collaborative Drosophila neuroscience research. FFBO provides a (i) hub for storing and integrating fruit fly brain research data from multiple data sources worldwide, (ii) unified repository of tools and methods to build, emulate and compare fruit fly brain models in health and disease, and (iii) an open framework for fruit fly brain data processing and model execution. FFBO provides access to application tools for visualizing, configuring, simulating and analyzing computational models of brain circuits of the (i) cell type map, (ii) connectome, (iii) synaptome, and (iv) activity map using intuitive queries in plain English. Tools are provided to extract the function inherent in these structural maps. All applications can be accessed with any modern browser.

Impact of COVID-19 on Nuclear Medicine in Germany, Austria and Switzerland: An International Survey in April 2020

2020 ◽  
Vol 59 (04) ◽  
pp. 294-299 ◽  
Author(s):  
Lutz S. Freudenberg ◽  
Ulf Dittmer ◽  
Ken Herrmann
Keyword(s):  
Nuclear Medicine ◽  
Health Systems ◽  
Personal Protective Equipment ◽  
Large Scale ◽  
Diagnostic Procedures ◽  
Protective Equipment ◽  
Current Crisis ◽  
Web Based ◽  
Public Versus Private ◽  
The Impact

Abstract Introduction Preparations of health systems to accommodate large number of severely ill COVID-19 patients in March/April 2020 has a significant impact on nuclear medicine departments. Materials and Methods A web-based questionnaire was designed to differentiate the impact of the pandemic on inpatient and outpatient nuclear medicine operations and on public versus private health systems, respectively. Questions were addressing the following issues: impact on nuclear medicine diagnostics and therapy, use of recommendations, personal protective equipment, and organizational adaptations. The survey was available for 6 days and closed on April 20, 2020. Results 113 complete responses were recorded. Nearly all participants (97 %) report a decline of nuclear medicine diagnostic procedures. The mean reduction in the last three weeks for PET/CT, scintigraphies of bone, myocardium, lung thyroid, sentinel lymph-node are –14.4 %, –47.2 %, –47.5 %, –40.7 %, –58.4 %, and –25.2 % respectively. Furthermore, 76 % of the participants report a reduction in therapies especially for benign thyroid disease (-41.8 %) and radiosynoviorthesis (–53.8 %) while tumor therapies remained mainly stable. 48 % of the participants report a shortage of personal protective equipment. Conclusions Nuclear medicine services are notably reduced 3 weeks after the SARS-CoV-2 pandemic reached Germany, Austria and Switzerland on a large scale. We must be aware that the current crisis will also have a significant economic impact on the healthcare system. As the survey cannot adapt to daily dynamic changes in priorities, it serves as a first snapshot requiring follow-up studies and comparisons with other countries and regions.

The Role of Web Based Accounting Online System 2.0 as the Company's Income and Expense Management

2017 ◽  
Vol 1 (1) ◽  
pp. 44-49
Author(s):  
Nur Azizah ◽  
Dedeh Supriyanti ◽  
Siti Fairuz Aminah Mustapha ◽  
Holly Yang
Keyword(s):  
Financial Management ◽  
Accounting System ◽  
Bank Account ◽  
Web Based ◽  
Online System ◽  
Version 2.0 ◽  
User Friendly ◽  
The Impact ◽  
A Company

In a company, the process of income and expense of money must have a profit-generating goal base. The success of financial management within the company, can be monitored from the ability of the financial management in managing the finances and utilize all the opportunities that exist with as much as possible with the aim to control the company's cash (cash flow) and the impact of generating profits in accordance with expectations. With a web-based online accounting system version 2.0, companies can be given the ease to manage money in and out of the company's cash. It has a user friendly system with navigation that makes it easy for the financial management to use it. Starting from the creation of a company's cash account used as a cash account and corporate bank account on the system, deletion or filing of cash accounts, up to the transfer invoice creation feature, receive and send money. Thus, this system is very effective and efficient in the management of income and corporate cash disbursements.   Keywords:​Accounting Online System, Financial Management, Cash and Bank

DAMPAK PROGRAM DIKLAT ONLINE TIK GURU PUSTEKKOM TERHADAP AKSESBILITAS KONTEN PEMBELAJARAN PADA FITUR RUMAH BELAJAR

2018 ◽  
Vol 19 (2) ◽  
pp. 84
Author(s):  
Eni Susilawati
Keyword(s):  
Teacher Training ◽  
Quantitative Research ◽  
Online Training ◽  
Research Approach ◽  
Intensity Level ◽  
Web Based ◽  
Learning Content ◽  
Open Questions ◽  
Ict Training ◽  
The Impact

The research objective is to analyze the impact of the participation of online  ICT teacher training to increase the number of accessibility the learning content of features in Rumah Belajar. This research used the quantitative research approach with descriptive quantitative analysis methods to be able to describe how the increase in accessibility features of Rumah Belajar and utilization in learning in school. Samples were selected in this study are all online training participants at 15 locations online training that has been conducted by Pustekkom in 2015 and 2016 in 2015. The data was collected using a questionnaire and a list of open questions in accordance with the purpose of research. The results showed that 1) online ICT teacher training participants, after completing the Pustekkom  training online  using become more motivated to access other feature in Rumah Belajar; 2) The order of the percentage of the intensity level of accessibility to the other features of Rumah Belajar are: Sumber Belajar 23%, BSE 23%, Bank Soal 21%, Kelas Maya 13%, Lab Maya 6%, Karya Guru 4%, Wahana Jelajah Angkasa 4%, Peta Budaya 4% and Karya Komunitas 2%, and ICT training online using the application PKB Rumah Belajar can be used as a reference for efforts to develop a web-based learning applications, in particular for the development of Rumah belajar portal belongs Pustekkom Kemendikbud. Tujuan penelitian yaitu untuk menganalisis dampak keikutsertaan diklat online  TIK guru Belajar terhadap peningkatan jumlah aksebilitas konten pembelajaran pada fitur-fitur rumah belajar. Penelitian ini menggunakan pendekatan penelitian kuantitatif dengan metode analisis kuantitatif secara deskriptif untuk bisa menggambarkan bagaimana peningkatan aksesbilitas fitur-fitur rumah belajar dan pemanfaatannya dalam pembelajaran di sekolah. Sampel yang dipilih dalam penelitian ini adalah semua peserta diklat online  pada 15 lokasi diklat online yang telah dilaksanakan oleh Pustekkom pada tahun 2015 dan 2016. Pengumpulan data menggunakan kuesioner dan daftar pertanyaan terbuka sesuai dengan tujuan penelitian. Hasil penelitian menunjukkan bahwa 1) peserta diklat online TIK Guru, setelah mengikuti diklat online Pustekkom, menjadi lebih termotivasi untuk mengakses fitur-fitur lainnya dalam Rumah Belajar; 2) Urutan prosentase tingkat intensitas aksesbilitas terhadap fitur-fitur Rumbel selain Pengembangan Keprofesian berkelanjutan (PKB) adalah: Sumber Belajar 23%, Buku Sekolah Elektronik (BSE) 23%, Bank Soal 21%, Kelas Maya 13%, Lab Maya 6%, Karya Guru 4%, Wahana Jelajah Angkasa 4%, Peta Budaya 4% dan Karya Komunitas 2%; dan 3) diklat online TIK menggunakan aplikasi PKB. Rumah belajar bisa dijadikan referensi bagi upaya pengembangan aplikasi pembelajaran berbasis web, khususnya bagi pengembangan portal Rumah Belajar milik Pustekkom Kemendikbud.

A Review on the Application of Blog, Blogger, Widget and Hypertext to Develop a Web-Based Instructional Tool

2019 ◽  
Vol 1 (2) ◽  
pp. 54
Author(s):  
Boon Yih Mah ◽  
Suzana Ab Rahim
Keyword(s):  
Second Language ◽  
Perceptual Learning ◽  
User Interfaces ◽  
English Language ◽  
Learning Preferences ◽  
Graphical Form ◽  
Instructional Tool ◽  
Web Based ◽  
Writing Skill ◽  
The Impact

The use of the internet for teaching and learning has become a global trend among the education practitioners over the recent decades. The integration of technology and media into Malaysian English as a Second Language (ESL) classrooms has altered the methods in English Language Teaching (ELT). In response to the impact of technology in ELT, the needs of a supplementary instructional platform, and the limitations of the learning management system (LMS) in fostering second language (L2) writing skill, a web-based instructional tool was designed and developed based on a theoretical-and-pedagogical framework namely Web-based Cognitive Writing Instruction (WeCWI). To determine the key concepts while identifying the research gap, this study conducted a literature review using online search on specific keywords including “blog”, “Blogger”, “widget”, and “hyperlink” found in the scholarly articles. Based on the review of literature, Blogger was opted due to its on-screen customisable layout editing features that can be embedded with web widgets and hypertext that share the identical features. By looking into the relationship between perceptual learning preferences on perceived information and the visual representations in iconic and symbolic views, the blogs can come with two different user interfaces embedded with web widgets or hypertext. The blog with web widgets appears in a graphical form of iconic view; while hypertext only displays textual form of symbolic view without involving the visual references. With the injection of web widgets and hypertext into the blogs, WeCWI attempts to offer a technological enhanced ELT solution to overcome the poor writing skill with a better engagement while learning online through the learners’ preferred perceptual learning preferences.

The Impact of Covid 19 on Pregnant Women and Child Health

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1367-1373
Author(s):  
Nikhil Sanjay Mujbaile ◽  
Smita Damke
Keyword(s):  
Social Issues ◽  
Middle Income ◽  
Web Based ◽  
Middle Income Countries ◽  
Low Middle Income Countries ◽  
The Social ◽  
Social Separation ◽  
The Impact ◽  
And Child Health ◽  
General Wellbeing

The Covid illness (COVID-19) pandemic has spread rapidly all through the world and has had a drawn-out impact. The Pandemic has done incredible damage to society and made genuine mental injury to numerous individuals. Mental emergencies frequently cause youngsters to deliver sentiments of relinquishment, despondency, insufficiency, and fatigue and even raise the danger of self-destruction. Youngsters with psychological instabilities are particularly powerless during the isolate and colonial removing period. Convenient and proper assurances are expected to forestall the event of mental and social issues. The rising advanced applications and wellbeing administrations, for example, telehealth, web-based media, versatile wellbeing, and far off intuitive online instruction can connect the social separation and backing mental and conduct wellbeing for youngsters. Because of the mental advancement qualities of youngsters, this investigation additionally outlines intercessions on the mental effect of the COVID-19 Pandemic. Further difficulties in Low Middle-Income Countries incorporate the failure to actualize successful general wellbeing estimates, for example, social separating, hand cleanliness, definitive distinguishing proof of contaminated individuals with self-disconnection and widespread utilization of covers The aberrant impacts of the Pandemic on youngster wellbeing are of extensive concern, including expanding neediness levels, upset tutoring, absence of admittance to the class taking care of plans, decreased admittance to wellbeing offices and breaks in inoculation and other kid wellbeing programs. Kept tutoring is critical for kids in Low Middle-Income Countries. Arrangement of safe situations is mainly testing in packed asset obliged schools. 

UGLEO: A WEB BASED INTELLIGENCE CHATBOT FOR STUDENT ADMISSION PORTAL USING MEGAHAL STYLE

2018 ◽  
Vol 23 (3) ◽  
pp. 175-191
Author(s):  
Anneke Annassia Putri Siswadi ◽  
Avinanta Tarigan
Keyword(s):  
Markov Chain ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Information Need ◽  
Web Based ◽  
Markov Chain Method ◽  
Information Center

To fulfill the prospective student's information need about student admission, Gunadarma University has already many kinds of services which are time limited, such as website, book, registration place, Media Information Center, and Question Answering’s website (UG-Pedia). It needs a service that can serve them anytime and anywhere. Therefore, this research is developing the UGLeo as a web based QA intelligence chatbot application for Gunadarma University's student admission portal. UGLeo is developed by MegaHal style which implements the Markov Chain method. In this research, there are some modifications in MegaHal style, those modifications are the structure of natural language processing and the structure of database. The accuracy of UGLeo reply is 65%. However, to increase the accuracy there are some improvements to be applied in UGLeo system, both improvement in natural language processing and improvement in MegaHal style.

An Exploratory Study of the Online Learning Environment

2013 ◽  
Vol 29 (1) ◽  
pp. 117-147 ◽  
Author(s):  
Cynthia J. Khanlarian ◽  
Rahul Singh
Keyword(s):  
Learning Environment ◽  
Student Performance ◽  
It Use ◽  
Environment Impact ◽  
Web Based ◽  
Improve Student Performance ◽  
Research Questions ◽  
The Impact ◽  
Relevant Factors ◽  
Significant Factors

ABSTRACT Web-based homework (WBH) is an increasingly important phenomenon. There is little research about its character, the nature of its impact on student performance, and how that impact evolves over an academic term. The primary research questions addressed in this study are: What relevant factors in a WBH learning environment impact students' performance? And how does the impact of these factors change over the course of an academic term? This paper examines and identifies significant factors in a WBH learning environment and how they impact student performance. We studied over 300 students using WBH extensively for their coursework, throughout a semester in an undergraduate class at a large public university. In this paper, we present factors in the WBH learning environment that were found to have a significant impact on student performance during the course of a semester. In addition to individual and technological factors, this study presents findings that demonstrate that frustration with IT use is a component of the learning environment, and as a construct, has a larger impact than usefulness on student performance at the end of a course. Our results indicate that educators may benefit from training students and engaging them in utility of co-operative learning assignments to mitigate the level of frustration with the software in the WBH learning environment and improve student performance.

Sign in / Sign up

Export Citation Format

Share Document