The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension

AbstractThe “Narratives” collection aggregates a variety of functional MRI datasets collected while human subjects listened to naturalistic spoken stories. The current release includes 345 subjects, 891 functional scans, and 27 diverse stories of varying duration totaling ~4.6 hours of unique stimuli (~43,000 words). This data collection is well-suited for naturalistic neuroimaging analysis, and is intended to serve as a benchmark for models of language and narrative comprehension. We provide standardized MRI data accompanied by rich metadata, preprocessed versions of the data ready for immediate use, and the spoken story stimuli with time-stamped phoneme- and word-level transcripts. All code and data are publicly available with full provenance in keeping with current best practices in transparent and reproducible neuroimaging.

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Narratives: fMRI data for evaluating models of naturalistic language comprehension

10.1101/2020.12.23.424091 ◽

2020 ◽

Author(s):

Samuel A. Nastase ◽

Yun-Fei Liu ◽

Hanna Hillman ◽

Asieh Zadbood ◽

Liat Hasenfratz ◽

...

Keyword(s):

Data Collection ◽

Best Practices ◽

Functional Mri ◽

Language Comprehension ◽

Human Subjects ◽

Narrative Comprehension ◽

Fmri Data ◽

Word Level

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Identification of Anggah-Ungguh Kruna Balinese Language

International Journal of Linguistics Literature and Culture ◽

10.21744/ijllc.v3i6.557 ◽

2017 ◽

Vol 3 (6) ◽

pp. 12

Author(s):

I Nyoman Suwija

Keyword(s):

Qualitative Research ◽

Data Analysis ◽

Data Collection ◽

Recording Technique ◽

Interview Method ◽

Word Level ◽

Regional Languages ◽

Descriptive Method

Balinese language is one of the regional languages in Indonesia that has a unique talk system, it is still alive and used as an instrument of communication of Balinese tribe so that it should be well maintained in order to still exist as a cultural vehicle of Bali. The Balinese language has anggah-ungguh kruna (level-word) that an important role in the formation of speech-level or anggah-ungguh basa Bali. This paper aims to describe the identification anggah-ungguh kruna (word level arrangement) which is the specific feature of speaking Balinese. This research is a qualitative research discuss with structuralism theory. Data collection was done by observation and interview method, assisted by recording technique. The collected data is processed by analytical descriptive method. Based on the results of data analysis, it can be described that anggah-ungguh kruna basa Bali include: (1) kruna nenten alus (kruna kasar, mider, and andap); (2) kruna alus, include: (kruna alus singgih, alus sor, alus mider, and alus madia).

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Design of a field trial to develop a tabletop platform for rapid detection of XDR-TB in clinical samples (Preprint)

10.2196/preprints.26748 ◽

2020 ◽

Author(s):

Naomi Hillery ◽

Marva Seifert ◽

Donald G Catanzaro ◽

Symone McKinnon ◽

Rebecca E Colman ◽

...

Keyword(s):

Clinical Study ◽

Data Collection ◽

Study Design ◽

Human Subjects ◽

Bacterial Load ◽

Objective Evaluation ◽

Clinical Samples ◽

Prospective Clinical Study ◽

Global Public Health ◽

Drug Concentrations

BACKGROUND Extensively drug-resistant tuberculosis (XDR-TB) continues to be a serious threat to global public health, due in part to the lack of accurate and efficient diagnostic devices for XDR-TB. A prospective clinical study in an intended-use cohort was designed to evaluate the Akonni Biosystems XDR-TB TruArray® and Lateral Flow Cell (XDR-LFC), which has the potential to address this gap in TB diagnostics. OBJECTIVE The objective of this publication is to share documentation of the study conceptualization and design that is replicable and of use to the scientific community. METHODS This clinical study was conducted in three phases, the first to observe changes in bacterial load and culture positivity in patient sputa over time and better understand the diversity of prospective clinical samples, the second to prospectively collect clinical samples for sensitivity and specificity testing of the Akonni Biosystems XDR-LFC device, and the third to explore anti-TB drug concentrations in serum over the course of DR-TB treatment. RESULTS The methodology described includes the study design, laboratory sample handling, data collection, and human subjects protection elements of the clinical study to evaluate a potential new XDR-TB diagnostic device. The complex systems implemented facilitated thorough clinical data collection for objective evaluation of the device. This trial is closed to recruitment. Follow-up data collection and analysis are in progress. CONCLUSIONS This publication outlined the methods used in a prospective cohort study to evaluate a device to rapidly detect XDR-TB. The documentation of this clinical study design may be of use to other researchers with similar goals.

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Emotional Intelligence a Critical Factor in Organizational Performance

International Journal of Business Strategy and Automation ◽

10.4018/ijbsa.2020100102 ◽

2020 ◽

Vol 1 (4) ◽

pp. 10-39

Author(s):

Neeta Baporikar

Keyword(s):

Data Collection ◽

Best Practices ◽

Organizational Performance ◽

Case Study Research ◽

Critical Factor ◽

Individual Performance ◽

Qualitative Approach ◽

Research Paradigm ◽

Interpretative Research

The objective of this study is to understand how employee EI is a critical factor for improved organizational performance. Adopting a qualitative approach with a case study research design, a sample of 40 employees was selected from the organization; data collection was done through a questionnaire after pilot testing. An analysis is done using SPSS, within an interpretative research paradigm using thematic analyses. Findings reflect that understanding and knowledge on EI and its influence on the performance may add value to the organization as employees become aware of the best practices and contribute better for organizational performance. Further, it was also noted that EI is a significant predictor of job and organizational performance only if it is advocated and spearheaded through individual performance classified into the task and contextual performance.

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Human frontoparietal cortex represents behaviorally relevant target status based on abstract object features

Journal of Neurophysiology ◽

10.1152/jn.00015.2019 ◽

2019 ◽

Vol 121 (4) ◽

pp. 1410-1427 ◽

Cited By ~ 2

Author(s):

Margaret Henderson ◽

John T. Serences

Keyword(s):

Frontal Cortex ◽

Functional Mri ◽

Irrelevant Dimension ◽

Target Recognition ◽

Human Subjects ◽

Object Identity ◽

Neural Basis ◽

Related Information ◽

Parking Lot ◽

High Level

Searching for items that are useful given current goals, or “target” recognition, requires observers to flexibly attend to certain object properties at the expense of others. This could involve focusing on the identity of an object while ignoring identity-preserving transformations such as changes in viewpoint or focusing on its current viewpoint while ignoring its identity. To effectively filter out variation due to the irrelevant dimension, performing either type of task is likely to require high-level, abstract search templates. Past work has found target recognition signals in areas of ventral visual cortex and in subregions of parietal and frontal cortex. However, target status in these tasks is typically associated with the identity of an object, rather than identity-orthogonal properties such as object viewpoint. In this study, we used a task that required subjects to identify novel object stimuli as targets according to either identity or viewpoint, each of which was not predictable from low-level properties such as shape. We performed functional MRI in human subjects of both sexes and measured the strength of target-match signals in areas of visual, parietal, and frontal cortex. Our multivariate analyses suggest that the multiple-demand (MD) network, including subregions of parietal and frontal cortex, encodes information about an object’s status as a target in the relevant dimension only, across changes in the irrelevant dimension. Furthermore, there was more target-related information in MD regions on correct compared with incorrect trials, suggesting a strong link between MD target signals and behavior. NEW & NOTEWORTHY Real-world target detection tasks, such as searching for a car in a crowded parking lot, require both flexibility and abstraction. We investigated the neural basis of these abilities using a task that required invariant representations of either object identity or viewpoint. Multivariate decoding analyses of our whole brain functional MRI data reveal that invariant target representations are most pronounced in frontal and parietal regions, and the strength of these representations is associated with behavioral performance.

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Best Practices

Encyclopedia of Social Work ◽

10.1093/acrefore/9780199975839.013.32 ◽

2013 ◽

Cited By ~ 1

Author(s):

Edward J. Mullen ◽

Jennifer L. Bellamy ◽

Sarah E. Bledsoe

Keyword(s):

Quality Improvement ◽

Social Work ◽

Organizational Learning ◽

Data Collection ◽

Best Practices ◽

Organizational Performance ◽

Organizational Management ◽

Quality Data ◽

Management Literature ◽

Systems Quality

This entry describes best practices as these are used in social work. The term best practices originated in the organizational management literature in the context of performance measurement and quality improvement where best practices are defined as the preferred technique or approach for achieving a valued outcome. Identification of best practices requires measurement, benchmarking, and identification of processes that result in better outcomes. The identification of best practices requires that organizations put in place quality data collection systems, quality improvement processes, and methods for analyzing and benchmarking pooled provider data. Through this process, organizational learning and organizational performance can be improved.

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A study of Indonesian university students’ vocabulary mastery with vocabulary level test

Global Journal of Foreign Language Teaching ◽

10.18844/gjflt.v6i4.2685 ◽

2017 ◽

Vol 6 (4) ◽

pp. 187-195

Author(s):

Rully Raslina Novianti

Keyword(s):

Data Collection ◽

Foreign Language ◽

University Students ◽

Undergraduate Students ◽

Vocabulary Knowledge ◽

Receptive Vocabulary ◽

Vocabulary Size ◽

Word Level ◽

Significant Difference ◽

English Instruction

In investigating learners’ vocabulary mastery, some researchers focused their studies on either receptive or productive vocabulary mastery. This study examines university students’ vocabulary knowledge in Indonesia by using the Vocabulary Level Test (VLT). It also compares the receptive vocabulary size of students who obtained extra hours of English instruction with those who had not. Furthermore, this study also identifies their strategies in enhancing their vocabulary mastery. The 2000-word frequency-band from the receptive version of the VLT and questionnaire are used for data collection. The results show that their receptive vocabulary scores are lower than 2000 words and no significant difference was found between the students who had extra hours of English instruction and those who had not. Then it can be stated that even after they had gained extra hours of English instruction, their average vocabulary knowledge was still lower than the 1000 estimated word level in the VLT. Keywords: vocabulary mastery, Vocabulary Level Test (VLT), English as a Foreign Language (EFL), undergraduate students.

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A functional MRI protocol for localizing language comprehension in the human brain

Brain Research Protocols ◽

10.1016/s1385-299x(02)00216-7 ◽

2003 ◽

Vol 10 (3) ◽

pp. 175-180 ◽

Cited By ~ 4

Author(s):

Gary W. Thickbroom ◽

Michelle L. Byrnes ◽

David J. Blacker ◽

Ian T. Morris ◽

Frank L. Mastaglia

Keyword(s):

Human Brain ◽

Functional Mri ◽

Language Comprehension ◽

Mri Protocol

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Is Ubiquitous Technology for Needs Data Management a Game Changer in Humanitarian Arena?

International Journal of Information Systems for Crisis Response and Management ◽

10.4018/ijiscram.2019010105 ◽

2019 ◽

Vol 11 (1) ◽

pp. 83-97

Author(s):

Punya Prasad Sapkota ◽

Kashif Siddiqi

Keyword(s):

Climate Change ◽

Data Collection ◽

Best Practices ◽

Data Entry ◽

Humanitarian Assistance ◽

Dynamic Changes ◽

The World ◽

Collection And Management ◽

Over Time ◽

Game Changer

One in every 70 people around the world is caught up in a crisis (natural disasters, conflict, climate change, etc.) and urgently needs humanitarian assistance and protection according to the OCHA. The humanitarian community assists millions of people every year based on emerging humanitarian needs. Most of the time, the conditions inside the countries, once the humanitarian needs data is collected, are not very conducive and required simple ways to collect data like paper-based data collection with simple questions. This data is later entered into a database or spreadsheet using rigorous and time-consuming data entry efforts. Dynamic changes in needs of people; numbers of partners involved; the complexity of evolving processes; and emerging technologies over time has led to a change in processes for data collection and management. This article is an attempt to capture humanitarian data collection best practices and the use of different technologies in managing data to facilitate humanitarian needs assessment processes for the Syria crisis.

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Where do our graduates go? A toolkit for retrospective and ongoing career outcomes data collection for biomedical PhD students and postdoctoral scholars

10.1101/539031 ◽

2019 ◽

Cited By ~ 1

Author(s):

Elizabeth A. Silva ◽

Alicia B. Mejía ◽

Elizabeth S. Watkins

Keyword(s):

Data Collection ◽

Best Practices ◽

Graduate Education ◽

Life Science ◽

Retrospective Studies ◽

Collection Management ◽

Annual Data ◽

Career Outcomes ◽

Call To Action ◽

Postdoctoral Training

Universities are at long last undertaking efforts to collect and disseminate information about student career outcomes, after decades of calls to action. Organizations such as Rescuing Biomedical Research and Future of Research brought this issue to the forefront of graduate education, and the second Future of Biomedical Graduate and Postdoctoral Training conference (FOBGAPT2) featured the collection of career outcomes data in its final recommendations, published in this journal (Hitchcock et al., 2017). More recently, 26 institutions assembled as the Coalition for Next Generation Life Science, committing to ongoing collection and dissemination of career data for both graduate and postdoc alumni. A few individual institutions have shared snapshots of the data in peer-reviewed publications (Mathur et al., 2018; Silva, des Jarlais, Lindstaedt, Rotman, Watkins, 2016) and on websites. As more and more institutions take up this call to action, they will now be looking for tools, protocols, and best practices for ongoing career outcomes data collection, management, and dissemination. Here, we describe UCSF's experiences in conducting a retrospective study, and in institutionalizing a methodology for annual data collection and dissemination. We describe and share all tools we have developed, and we provide calculations of the time and resources required to accomplish both retrospective studies and annual updates. We also include broader recommendations for implementation at your own institutions, increasing the feasibility of this endeavor.

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