General information:

What's all of this about?

The current database was used for Head activity detection using Capacitive sensors for the training of several classical machine learning and deep learning models.

What's Inside?

The Data Contains time series from 4 low-power consumption sensors, along with the labels associated for 6 different head motions.

For more details see the papers:

M. C. Dobrea, D. M. Dobrea and I. C. Severin, "A New Wearable System for Head Gesture Recognition Designed to Control an Intelligent Wheelchair," 2019 E-Health and Bioengineering Conference (EHB), Iasi, Romania, 2019, pp. 1-5, doi: 10.1109/EHB47216.2019.8969993.

I.C. Severin and Dobrea, Dan-Marius. "Head Gesture Recognition Based on Capacitive Sensors Using Deep Learning Algorithms" Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section, vol.67, no.3, 2021, pp.73-92. https://doi.org/10.2478/bipie-2021-0018

Important informations:

The current distributed Data sets could be used in you're research studies only with the condition to make reference to a minimum of two of our publication papers:

1) M. C. Dobrea, D. M. Dobrea and I. C. Severin, "A New Wearable System for Head Gesture Recognition Designed to Control an Intelligent Wheelchair," 2019 E-Health and Bioengineering Conference (EHB), Iasi, Romania, 2019, pp. 1-5, doi: 10.1109/EHB47216.2019.8969993.

2) I.C. Severin and Dobrea, Dan-Marius. "Head Gesture Recognition Based on Capacitive Sensors Using Deep Learning Algorithms" Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section, vol.67, no.3, 2021, pp.73-92. https://doi.org/10.2478/bipie-2021-0018

3) D. M. Dobrea and M. C. Dobrea, "A Neuronal Model of the 3D Head Position Based on a Wearable System," 2018 International Conference and Exposition on Electrical And Power Engineering (EPE), Iasi, Romania, 2018, pp. 0341-0346, doi: 10.1109/ICEPE.2018.8559815.

4) D. M. Dobrea and M. C. Dobrea, "A warning wearable system used to identify poor body postures," 2018 Advances in Wireless and Optical Communications (RTUWO), Riga, Latvia, 2018, pp. 55-60, doi: 10.1109/RTUWO.2018.8587900.

5) I.C. Severin, D.M. Dobrea and M.C. Dobrea, Head Gesture Recognition using a 6DOF Inertial IMU, International Journal of Computers Communications & Control, vol. 15, no. 3, 2020, ISSN: 1841-9836, DOI: 10.15837/ijccc.2020.3.3856, WOS: 000528258600005, lucrare indexată în: ISI Web of Science, DBLP, Scopus, DOAJ, revistă cotată ISI IF (2022): 2.635 (Q3).

6) I.C. Severin, and Dobrea Dan-Marius. 2021. "Using Inertial Sensors to Determine Head Motion—A Review" Journal of Imaging 7, no. 12: 265. https://doi.org/10.3390/jimaging7120265, lucrare indexată în: ISI Web of Science, PubMed, DOAJ, Scopus, IF (2022): 3.4 (Q3).

7) D. -M. Dobrea and M. -C. Dobrea, "Concepts and developments of an wearable system - an IoT approach," 2017 International Symposium on Signals, Circuits and Systems (ISSCS), Iasi, Romania, 2017, pp. 1-4, doi: 10.1109/ISSCS.2017.8034922.

Note: For more information, contact us at: mcdobrea@etti.tuiasi.ro, mdobrea@etti.tuiasi.ro and severinionut10@gmail.com

This simple dataset contains publication statistics of Swedish PhD and Licentiate thesis in Software Engineering from 1999 to 2018. The contents of this dataset were discussed in a blog post on https://grischaliebel.de.

The data is offered in two formats, xlsx and csv, but with the same content. Names and affiliation are anonymised in the data set to prevent identification of subjects. In the following, we describe the content of the different columns in the table.

Level: 'lic' for Licentiate theses or 'phd' for PhD theses

Year: The year of publication of the thesis

Included: The total number of papers included in the compilation-style thesis.

Listed: Number of papers listed in addition to the included papers (basically "I have also published these, but they are not relevant to the thesis). Note that we cannot distinguish between cases, where no papers are listed because none are published, or because the author decided not to list them.

IncludedPublished: The amount of included papers that are published or accepted for publication.

IncludedSubmitted: The amount of included papers that in submission/under review.

IncludedPublishedISI: The amount of included, published papers that are in ISI-ranked journals.

IncludedPublishedNonISIJ: The amount of included, published papers that are in non ISI-ranked journals.

IncludedPublishedConf: The amount of included, published papers that are in CORE-ranked conferences (any grade).

IncludedPublishedWS: The amount of included, published papers that are in workshops. Non CORE-ranked conferences are counted as workshops as well.

IncludedPublishedOther: The amount of included, published papers that do not fit in any other category (e.g., book chapters, technical reports).

IncludedSubmitted*: Amount of included, submitted papers broken down by category (Journal, conference, workshop, and other).

ListedPublished*: Amount of listed, published papers broken down by category (ISI/Non-ISI Journal, conference, workshop, and other).

ListedSubmitted*: Amount of listed, submitted papers broken down by category (Journal, conference, workshop, and other).

Research dissemination and knowledge translation are imperative in social work. Methodological developments in data visualization techniques have improved the ability to convey meaning and reduce erroneous conclusions. The purpose of this project is to examine: (1) How are empirical results presented visually in social work research?; (2) To what extent do top social work journals vary in the publication of data visualization techniques?; (3) What is the predominant type of analysis presented in tables and graphs?; (4) How can current data visualization methods be improved to increase understanding of social work research? Method: A database was built from a systematic literature review of the four most recent issues of Social Work Research and 6 other highly ranked journals in social work based on the 2009 5-year impact factor (Thomson Reuters ISI Web of Knowledge). Overall, 294 articles were reviewed. Articles without any form of data visualization were not included in the final database. The number of articles reviewed by journal includes : Child Abuse & Neglect (38), Child Maltreatment (30), American Journal of Community Psychology (31), Family Relations (36), Social Work (29), Children and Youth Services Review (112), and Social Work Research (18). Articles with any type of data visualization (table, graph, other) were included in the database and coded sequentially by two reviewers based on the type of visualization method and type of analyses presented (descriptive, bivariate, measurement, estimate, predicted value, other). Additional revi ew was required from the entire research team for 68 articles. Codes were discussed until 100% agreement was reached. The final database includes 824 data visualization entries.

This study consists of data files that code the data availability policies of top-20 academic journals in the fields of Business & Finance, Economics, International Relations, Political Science, and Sociology. Journals that were ranked as top-20 titles based on 2003-vintage ISI Impact Factor scores were coded on their data policies in 2003 and on their data policies in 2015. In addition, journals that were ranked as top-20 titles based on most recent ISI Impact Factor scores were likewise coded on their data polices in 2015. The included Stata .do file imports the contents of each of the Excel files, cleans and labels the data, and produces two tables: one comparing the data policies of 2003-vintage top-20 journals in 2003 those journals' policies in 2015, and one comparing the data policies of 2003-vintage top-20 journals in 2003 to the data policies of current top-20 journals in 2015.

Giannini S., Biagioni S., Goggi S., Pardelli G. Grey Literature citations in the age of Digital Repositories and Open Access. In: GL17 - Seventeenth International Conference on Grey Literature : A New Wave of Textual and Non-Textual Grey literature (Amsterdam, NL, 1-2 December 2015). Proceedings, pp. 137 - 145. D. Farace and J. Frantzen (eds.). (GL Conference Series, ISSN 1386-2316., vol. 17). TextRelease, Amsterdam, The Netherlands, 2016.ABSTRACT - The work measures grey citations in the years 2012, 2013 and 2014 and then describes the features of GL documents cited in different areas of knowledge: Computational Linguistics, Computer Science and Engineering. With the aim of surveying a wide and varied range of resources, we selected a sample data based on the bibliographical references of articles contained in four journals - all indexed by Scopus Citation Database and ISI Web of Science, with an Impact Factor (IF) over the last three years - and two proceedings of international conferences held in 2012 and 2014. Date Submitted: 2016-04-04 In column C of the sheet ACM_TOIS and column D of the sheets Eurasia, CL, LR&E, EACL and JCD, 'G' represents Grey citations and 'P 'represents other published citations.The depositor provided the data file in XLSX format. For each sheet in this data file, DANS added a CSV or PDF/A format to ensure preservation and accessibility.

The Neuron tag is that used in the original data repository; the asterisk denotes the data used for the histogram in Fig 9. ‘Coherence’ is the percentage of the dots moving coherently in the random dot stimulus. ‘Direction’ (0 or 1) indicates overall stimulus direction: direction ‘1’ is the preferred direction of the neuron (across its entire tuning curve) while direction ‘0’ is its opposite. ‘Number of ISIs’ is the size of our sample, resulting from pooling data across the ‘number of trials’ indicated in the adjacent column.Data sets from [31] used to generate ISI distributions.

ABSTRACT Objective Knowledge production, technology generation and human resource training for research are themes which have been under the limelight in the academic and governmental environment. The aim of this study was to compare the scientific productivity, human resource training and the profile of researchers awarded scientific productivity grants by the CNPq (Brazilian Council for Scientific and Technological Development), from medical knowledge areas. Methods This is a descriptive and comparative study among researchers with scholarships in the fields of Cardiology, Hematology/Oncology, Nephrology/Urology, Pediatrics and Clinical Neuroscience, obtained through previous studies. The variables analyzed were: gender, researcher home institution, PhD time, doctoral institution, undergraduate research guidelines, master’s and doctorate degrees, and publications in journals. The researchers granted with the PQ (scientific productivity) grants were also divided into the present CNPq categories of: 2, 1A, 1B, 1C and 1D. Results from a total of 411 researchers in Medicine, 192 (46.7%) were identified as belonging to areas of the five studies involved, predominantly male (71.3%), concentrated in categories 2 and 1A. The southeastern and southern Brazilian regions together comprise the majority of the researchers (over 90.0%) and São Paulo accounted for 63.0% of the researchers, also hosting the two main institutions – Universidade Federal de São Paulo (Unifesp) and Universidade de São Paulo (USP) – containing 49.5% of the stock. There was a prevalence students undergoing of teacher training (1,846 master’s degree supervisions), followed by 1,674 undergraduate and 1,115 doctoral students. Of the 18,456 articles that were published in journals, 56.0% of them indexed in the ISI database and 78% in Scopus. Conclusions In this study, it was noted that all the analysed fields showed growing scientific productivity, above all Clinical Neuroscience, and expressive human resource training, with a constant for improving quality performance. However, regional disparity was found as regards the concentration of researchers, as well as a lack of patent production.

IntroductionAlthough COVID-19 vaccines have been recommended for children and adolescents since 2021, suboptimal vaccination uptake has been documented. No previous systematic review/meta-analysis (SRMA) investigated parents’ willingness to administer COVID-19 vaccines for their children in Saudi Arabia. Accordingly, this SRMA aimed to estimate parents’ willingness to immunize their children with COVID-19 vaccines in Saudi Arabia and to identify reasons and determinants influencing parents’ decisions.MethodsThis SRMA adhered to the PRISMA guidelines and the protocol was registered on PROSPERO (ID: CRD42023492760). An extensive systematic search was performed across electronic databases including Pub Med, Pub Med Central, ISI Web of science, Web of Science Core Collection, Medline, KCI-Korean Journal Database, ProQuest, and SciELO, to identify relevant studies published from January 1, 2020 to October 30, 2023. A random-effects model was utilized to estimate the pooled effects considering the expected variability across studies. Heterogeneity, risk of bias, publication bias and quality of studies were considered and evaluated by relevant appropriate tests to ensure robust results.ResultsTwenty-five studies with 30,844 parents were included. The overall pooled rate of parents who intended to immunize their children with COVID-19 vaccines was 48.0% (95% CI: 41.0–54.0%) with high heterogeneity (I2 = 99.42%). The main reason for parents to vaccinate children was to protect child, family and community from COVID-19. Perceived efficacy/safety of vaccines were the most significant determinants associated with parents’ willingness to vaccinate children.ConclusionThis was the first SRMA from Saudi Arabia which emphasized the priority to focus on vaccine-related factors as main/key strategy of COVID-19 vaccines’ drivers to convince parents in a logical way based on accurate cumulative and emerging scientific data about efficacy and safety of COVID-19 vaccines to optimize their uptake by children/adolescents. This SRMA can provide valuable insights for development of evidence-based policies to improve parental willingness to vaccinate children, which is crucial for controlling SARS-CoV-2 spread and promoting herd immunity in the community particularly if the virus continues to pose a major threat.