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This data is used to analyze the structural equation of the article
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This dataset is a bibliographical database associated to the journal article "Twenty Years of Distributed Port-Hamiltonian Systems: A Literature Review" by R. Rashad, F. Califano, A.J. van der Schaft, and S. Stramigioli. In this article we review the research studies carried out in the past twenty years in the field of Distributed Port-Hamiltonian systems. The dataset includes the papers reviewed in this article, classified in their respective groups, which are over 150 studies. In addition, the dataset has an extra of 80 more studies that were not cited in the review paper, but are related to the field. All journal articles and the majority of the conference proceedings have their DOI included in the dataset. The main .bib file is named "Reference_List_Review". We hope this could guide new researchers in the field and accelerate the research and development of this powerful paradigm.
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Data used for plotting figures in the main context. -- First commit: Nov 26th, 2019 for review. -- Second commit: Apt 1st, 2020 for publication
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Amyotrophic lateral sclerosis is a rapidly progressive neurodegeneration disease,with a hall mark of neuronal inclusions, neuron loss and gliosis. The pathogenesis of ALS remains unclear. And the only two drugs riluzole and edaravone exhibit limited efficacy. We then explored the riluzole treatment in TDP-43 transgenic rats trying to uncover the pathological mechanisms of neuron loss in ALS.
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We conducted a longitudinal study with a randomized control group design over a period of 14 days with 120 participants to investigate whether 3 different app-based interventions (cognitive-behavioural, meditation, informational) can enhance the general well-being (stress, engagement and satisfaction), ICT-specific well-being (technostress creators, digitalisation anxiety, IT resilience) and recovery (detachment) of participants compared to the control group with no intervention. All indicators were measured by using scales with several items in the initial questionnaire (prior to the intervention period) and end questionnaire (after the intervention period). Additionally, stress, satisfaction and detachment were measured by single items in the app-interventions which took place every two days directly after the interventions. The meditation intervention significantly increased general well-being (satisfaction, measured in the app) and recovery (detachment, measured in the questionnaires) compared to the control group but did not improve general stress and ICT-related stress. The cognitive-behavioural intervention significantly increased general well-being (less stress, measured in the app). Contrary to our hypotheses, the informational intervention even increased the general stress level (measured in the questionnaire). None of the interventions changed the level of ICT-related stress.
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The Excel File and Mat File contain the raw and transformed data that we used in our paper 'Financial Wealth, Investment and Sentiment in a Bayesian DSGE Model'.
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  • Tabular Data
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Data and code files for manuscript submitted to the Journal of Theoretical Biology.
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The dataset was constructed to examine Vietnamese student’s learning habit during the school suspension time due to the novel coronavirus - SARS-CoV-2 (Covid-19), responds to the call of open research to prevent potential effects of coronavirus (Elsevier, 2020). The questionnaires were spread over a network of educational communities on Facebook from 7th to 28th of February 2020. Using the snowball sampling method, researchers delivered the survey to teachers and parents to confirm the consent form before they forward it to their students and children. In order to measure the influence of student’s socioeconomic status and occupational aspirations over their learning habit during school closure, the survey includes three major groups of questions: (1) Individual demographic, includes family socioeconomic status, school types, and occupational aspirations; (2) Student’s learning habits, include hours of learning before and during school suspension time, with and without other people’s support; and (3) Student’s perception on self-learning during the disease. There was a total of 920 clicks on the survey link, but only 460 responses with consent form were received. The incurable answers (e.g., year of birth is before 2009, more than 20 hours of learning per day, etc.) have been eliminated. Finally, the dataset includes 420 valid observations.
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COVID-19 reported cases and deaths through 3/31/2020 world wide, excluding China and South Korea
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Even though partisan cues are widely recognized as a primary force shaping voter behavior in a referendum, their effect on a decision whether to attend or abstain from voting has not yet been carefully studied. Our analysis of the pre-referendum survey data gathered before the 2015 citizen-initiated referendum in Slovakia leads to two important conclusions: First, parties’ recommendations whether to attend or abstain from voting influence voters’ behavior in a similar fashion as their suggestions for which side to vote for. Moreover, in certain institutional settings, the partisan cues related to mobilization have an even stronger impact on voters than endorsements for who or what to vote for. Second, the provided party recommendations must be unambiguous and clear. Lower clarity cues are reflected in voters’ behavior to a lesser extent. Note: Data is originally collected by the FOCUS Agency (in Slovakia) on demand of the Daily SME. All the essential information could be found in the .xlsx file.
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  • Tabular Data
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