scholarly journals Open Science Framework (OSF)

2017 ◽  
Vol 105 (2) ◽  
Author(s):  
Erin D. Foster, MSLS ◽  
Ariel Deardorff, MLIS
Keyword(s):  
Open Source ◽  
Web Application ◽  
Open Science ◽  
Science Framework ◽  
Free Open Source

The Open Science Framework (OSF) is a free, open source, research workflow web application developed and maintained by the Center for Open Science (COS).

scholarly journals The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words

2019 ◽  
Vol 52 (3) ◽  
pp. 1271-1291 ◽  
Author(s):  
Dermot Lynott ◽  
Louise Connell ◽  
Marc Brysbaert ◽  
James Brand ◽  
James Carney
Keyword(s):  
Web Application ◽  
Open Science ◽  
Grounded Cognition ◽  
Word Meanings ◽  
Link Type ◽  
Semantic Norms ◽  
Perceptual Modalities ◽  
Sensorimotor Information ◽  
Science Framework ◽  
Amazon's Mechanical Turk

AbstractSensorimotor information plays a fundamental role in cognition. However, the existing materials that measure the sensorimotor basis of word meanings and concepts have been restricted in terms of their sample size and breadth of sensorimotor experience. Here we present norms of sensorimotor strength for 39,707 concepts across six perceptual modalities (touch, hearing, smell, taste, vision, and interoception) and five action effectors (mouth/throat, hand/arm, foot/leg, head excluding mouth/throat, and torso), gathered from a total of 3,500 individual participants using Amazon’s Mechanical Turk platform. The Lancaster Sensorimotor Norms are unique and innovative in a number of respects: They represent the largest-ever set of semantic norms for English, at 40,000 words × 11 dimensions (plus several informative cross-dimensional variables), they extend perceptual strength norming to the new modality of interoception, and they include the first norming of action strength across separate bodily effectors. In the first study, we describe the data collection procedures, provide summary descriptives of the dataset, and interpret the relations observed between sensorimotor dimensions. We then report two further studies, in which we (1) extracted an optimal single-variable composite of the 11-dimension sensorimotor profile (Minkowski 3 strength) and (2) demonstrated the utility of both perceptual and action strength in facilitating lexical decision times and accuracy in two separate datasets. These norms provide a valuable resource to researchers in diverse areas, including psycholinguistics, grounded cognition, cognitive semantics, knowledge representation, machine learning, and big-data approaches to the analysis of language and conceptual representations. The data are accessible via the Open Science Framework (http://osf.io/7emr6/) and an interactive web application (https://www.lancaster.ac.uk/psychology/lsnorms/).

scholarly journals The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words

2019 ◽  
Author(s):  
Dermot Lynott ◽  
Louise Connell ◽  
Marc Brysbaert ◽  
James Brand ◽  
James Carney
Keyword(s):  
Web Application ◽  
Open Science ◽  
Grounded Cognition ◽  
Word Meanings ◽  
Semantic Norms ◽  
Perceptual Modalities ◽  
Sensorimotor Information ◽  
Science Framework ◽  
Amazon's Mechanical Turk ◽  
Decision Times

Sensorimotor information plays a fundamental role in cognition. However, existing materials that measure the sensorimotor basis to word meanings and concepts have been restricted in sample size and breadth of sensorimotor experience. Here, we present norms of sensorimotor strength for 39,707 concepts across six perceptual modalities (touch, hearing, smell, taste, vision, and interoception) and five action effectors (mouth/throat, hand/arm, foot/leg, head excluding mouth/throat, and torso), gathered from a total of 3,500 individual participants using Amazon's Mechanical Turk platform. The Lancaster Sensorimotor Norms are unique and innovative in a number of respects: they represent the largest ever set of semantic norms for English at 40 thousand words x 11 dimensions (plus several informative cross-dimensional variables); they extend perceptual strength norming to the new modality of interoception; and they include the first norming of action strength across separate bodily effectors. In the first study, we describe the data collection procedures, provide summary descriptives of the dataset, and interpret the relations observed between sensorimotor dimensions. We then report two further studies that i) extract an optimal single-variable composite of the 11-dimension sensorimotor profile (Minkowski 3 strength), and ii) demonstrate the utility of both perceptual and action strength in facilitating lexical decision times and accuracy in two separate datasets. These norms provide a valuable resource to researchers in diverse areas including psycholinguistics, grounded cognition, cognitive semantics, knowledge representation, machine learning, and big data approaches to the analysis of language and conceptual representations. The data are accessible via the Open Science Framework (http://osf.io/7emr6/ ) and an interactive web application (https://www.lancaster.ac.uk/psychology/lsnorms/).

scholarly journals The Charcoal Quantification Tool (CharTool): A Suite of Open-source Tools for Quantifying Charcoal Fragments and Sediment Properties in Archaeological and Paleoecological Analysis

2020 ◽  
Vol 11 (1) ◽  
pp. 103-115
Author(s):  
Grant Snitker
Keyword(s):  
Image Analysis ◽  
Open Source ◽  
Digital Image Analysis ◽  
Multiple Scales ◽  
Low Cost ◽  
Open Science ◽  
Charcoal Analysis ◽  
Sediment Properties ◽  
Standard Methods ◽  
Free Open Source

Sedimentary charcoal analysis is increasingly used in archaeological and paleoecological research to examine human-environmental relationships at multiple scales. The recent availability of low-cost digital microscopes and imaging software has resulted in the rapid adoption of digital image analysis in charcoal studies. However, most published studies include only minimal accounts of software configurations or utilize proprietary image analysis programs, thus hindering replication, standardization, and comparability of charcoal analyses across the field. In an effort to encourage replicable methods and a culture of open science, this paper presents the Charcoal Quantification Tool (CharTool), a free, open-source suite of charcoal and sediment quantification tools designed for use with ImageJ. CharTool blends standard methods in visual and digital charcoal analysis to increase the analyst’s participation in identifying and measuring charcoal metrics. Each CharTool module is described and demonstrated in a vignette using sedimentary charcoal collected from the Son Servera study area, Mallorca, Spain. A suggested workflow, user-guide, scripted analyses for processing outputs, and download instructions are included as supplementary materials to this article.

scholarly journals Free Open-Source High – Availability Solution for Java Web Application Using Tomcat And MySQL

2021 ◽  
Vol 7 (1) ◽  
pp. 68-77
Author(s):  
Dhanny Dhanny ◽  
Sandi Badiwibowo Atiim
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Web Application ◽  
Web Applications ◽  
High Availability ◽  
Application System ◽  
Small Organizations ◽  
The Past ◽  
Web Application System ◽  
Free Open Source

With the growth of the internet, the number of web applications is also growing. Many web applications are becoming more important to the stakeholders that they cannot afford downtime which can cause loss of revenue, loss of productivity, etc. In the past, only big organizations with deep pocket could afford implement high-availability for their web application, but nowadays there are free open-source software programs that support high-availability feature available to everyone. This research studied the feasibility of implementing high-availability for Java web application system without using commercial software. This research compared the capability of proprietary and free open-source high-availability solution for Java web application based on a simple high-availability design, where a test Java web application was deployed into the environment based on proprietary and free open-source solutions, and tested how well each solution perform when problem occurs. The result showed that the free open-source high-availability solution worked, but not as well as proprietary one. However, the proprietary high-availability solution for database did not perform well, and neither did the open-source one. This research concludes that the free open-source high-availability solution works and thus made high-availability become much more affordable, especially for individual or small organizations with budget constraints.

Publikasi Akademik Sepanjang 2019

2019 ◽  
Author(s):  
Adib Rifqi Setiawan
Keyword(s):  
Open Science ◽  
Research Papers ◽  
Science Framework

Berikut ini beberapa publikasi saya pada 2019 ini. Penting atau tidak, saya menganggap bahwa publikasi hanyalah efek samping riset. Di luar publikasi ini, saya juga masih aktif sebagai penulis media daring, seperti Qureta.com, Selasar.com, dan SantriMilenial.net serta mengunggah beberapa artikel preprint melalui layanan Open Science Framework (OSF), EdArxiv.org, dan Research Papers in Economics (RePEc).

scholarly journals Genetic and Transcriptomic Biomarkers in Neurodegenerative Diseases: Current Situation and the Road Ahead

Cells ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1030
Author(s):  
Julie Lake ◽  
Catherine S. Storm ◽  
Mary B. Makarious ◽  
Sara Bandres-Ciga
Keyword(s):  
Neurodegenerative Diseases ◽  
Large Scale ◽  
Disease Diagnosis ◽  
Open Science ◽  
Future Directions ◽  
The Road ◽  
Current State ◽  
Molecular Complexity ◽  
Science Framework ◽  
Lateral Sclerosis

Neurodegenerative diseases are etiologically and clinically heterogeneous conditions, often reflecting a spectrum of disease rather than well-defined disorders. The underlying molecular complexity of these diseases has made the discovery and validation of useful biomarkers challenging. The search of characteristic genetic and transcriptomic indicators for preclinical disease diagnosis, prognosis, or subtyping is an area of ongoing effort and interest. The next generation of biomarker studies holds promise by implementing meaningful longitudinal and multi-modal approaches in large scale biobank and healthcare system scale datasets. This work will only be possible in an open science framework. This review summarizes the current state of genetic and transcriptomic biomarkers in Parkinson’s disease, Alzheimer’s disease, and amyotrophic lateral sclerosis, providing a comprehensive landscape of recent literature and future directions.

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