This dataset provides the raw anonymised (quantitative) data from the EDSA demand analysis. This data has been gathered from surveys performed with those who identify as data scientists and manages of data scientists in different sectors across Europe. The coverage of the data includes level of current expertise of the individual or team (data scientist and manager respectively) in eight key areas. The dataset also includes the importance of the eight key areas as capabilities of a data scientist. Further the dataset includes a breakdown of key tools, technologies and training delivery methods required to enhance the skill set of data scientists across Europe. The EDSA dashboard provides an interactive view of this dataset and demonstrates how it is being used within the project. The dataset forms part of the European Data Science Academy (EDSA) project which received funding from the European Unions's Horizon 2020 research and innovation programme under grant agreement No 643937. This three year project ran/runs from February 2015 to January 2018. Important note on privacy: This dataset has been collected and made available in a pseudo anonymous way, as agreed by participants. This means that while each record represents a person, no sensitive identifiable information, such as name, email or affiliation is available (we don't even collect it). Pseudo anonymisation is never full proof, however the projects privacy impact assessment has concluded that the risk resulting from the de-anonymisation of the data is extremely low. It should be noted that data is not included of participants who did not explicitly agree that it could be shared pseudo anonymously (this was due to a change of terms after the survey had started gathering responses, meaning any early responses had come from people who didn't see this clause). If you have any concerns please contact the data publisher via the links below.

The data relates to the paper that analyses the determinants or factors that best explain student research skills and success in the honours research report module during the COVID-19 pandemic in 2021. The data used have been gathered through an online survey created on the Qualtrics software package. The research questions were developed from demographic factors and subject knowledge including assignments to supervisor influence and other factors in terms of experience or belonging that played a role (see anonymous link at https://unisa.qualtrics.com/jfe/form/SV_86OZZOdyA5sBurY. An SMS was sent to all students of the 2021 module group to make them aware of the survey. They were under no obligation to complete it and all information was regarded as anonymous. We received 39 responses. The raw data from the survey was processed through the SPSS statistical, software package. The data file contains the demographics, frequencies, descriptives, and open questions processed.
The study reported in this paper employed the mixed methods approach comprising a quantitative and qualitative analysis. The quantitative and econometric analysis of the dependent variable, namely, the final marks for the research report and the independent variables that explain it. The results show significance in terms of the assignments and existing knowledge marks in terms of their bachelor’s average mark. We extended the analysis to a qualitative and quantitative survey, which indicated that the mean statistical feedback was above average and therefore strongly agreed/agreed except for library use by the student. Students, therefore, need more guidance in terms of library use and the open questions showed a need for a research methods course in the future. Furthermore, supervision tends to be a significant determinant in all cases. It is also here where supervisors can use social media instruments such as WhatsApp and Facebook to inform students further. This study contributes as the first to investigate the preparation and research skills of students for master's and doctoral studies during the COVID-19 pandemic in an online environment.

Untargeted liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) is a powerful tool for comprehensive chemical analysis. Such techniques allow the detection and quantification of thousands of compounds in a sample. However, the complexity and variability in the data can introduce significant errors, impacting the reliability of the results. This study investigates ensemble averaging to mitigate these errors and improve signal-to-noise (S/N) ratios, feature detection, and data quality. In this work, 256 LC-qTOF/MS1 data sets from the analysis of Morning Glory seeds were averaged to generate merged data sets. The numbers of the pooled data sets in the merged files were varied, and the number of features, the S/N ratio, the accuracy and precision of the accurate masses, relative intensities, and migration time were examined. It was proved that ensemble averaging allows an increase in the S/N up to a factor of 10, and the relative standard deviation of the accurate masses and retention time decreased by a factor of 10. Moreover, the average number of features mined per data set increased from 1192 ± 129 with the original data set to 4408 when all data sets were averaged into one. Using known target compounds, ensemble averaging benefits on quantitative analysis were investigated. The measured and theoretical relative intensities between the [M+1]+H+, [M+2]+H+, and [M+3]+H+ and [M]+H+ isotopes of known alkaloids were used. The standard deviation decreased by up to a factor of 10, and the absolute error between theoretical and experimental relative intensities was below 3%, making the theoretical isotopic pattern a valid criterion for confirming a putative molecular formula. Using a targeted approach to recover quantitative data from the original data sets from information in the merged data sets provides an accurate quantitative means. Peak lists from the merged data sets and quantitative information from the original data sets were fused to obtain a robust clustering approach that allows recognizing features (adducts, isotopes, and fragments) generated by a common chemical in the ionization chamber. Two hundred and four clusters were obtained, characterized by two or more features with migration times that differ by less than 0.05 min and with similar response patterns.

Citation searchContains the search strategy performed in LexisNexis Academic database.Citation_search.txtCitation_dataContains citation search results.R_scriptContains the script used to generate the correspondence analysis plot.

This dataset contains data collected during a study "Understanding the development of public data ecosystems: from a conceptual model to a six-generation model of the evolution of public data ecosystems" conducted by Martin Lnenicka (University of Hradec Králové, Czech Republic), Anastasija Nikiforova (University of Tartu, Estonia), Mariusz Luterek (University of Warsaw, Warsaw, Poland), Petar Milic (University of Pristina - Kosovska Mitrovica, Serbia), Daniel Rudmark (Swedish National Road and Transport Research Institute, Sweden), Sebastian Neumaier (St. Pölten University of Applied Sciences, Austria), Karlo Kević (University of Zagreb, Croatia), Anneke Zuiderwijk (Delft University of Technology, Delft, the Netherlands), Manuel Pedro Rodríguez Bolívar (University of Granada, Granada, Spain).

As there is a lack of understanding of the elements that constitute different types of value-adding public data ecosystems and how these elements form and shape the development of these ecosystems over time, which can lead to misguided efforts to develop future public data ecosystems, the aim of the study is: (1) to explore how public data ecosystems have developed over time and (2) to identify the value-adding elements and formative characteristics of public data ecosystems. Using an exploratory retrospective analysis and a deductive approach, we systematically review 148 studies published between 1994 and 2023. Based on the results, this study presents a typology of public data ecosystems and develops a conceptual model of elements and formative characteristics that contribute most to value-adding public data ecosystems, and develops a conceptual model of the evolutionary generation of public data ecosystems represented by six generations called Evolutionary Model of Public Data Ecosystems (EMPDE). Finally, three avenues for a future research agenda are proposed.

This dataset is being made public both to act as supplementary data for "Understanding the development of public data ecosystems: from a conceptual model to a six-generation model of the evolution of public data ecosystems ", Telematics and Informatics*, and its Systematic Literature Review component that informs the study.

Description of the data in this data set

PublicDataEcosystem_SLR provides the structure of the protocol

Spreadsheet#1 provides the list of results after the search over three indexing databases and filtering out irrelevant studies

Spreadsheets #2 provides the protocol structure.

Spreadsheets #3 provides the filled protocol for relevant studies.

The information on each selected study was collected in four categories:(1) descriptive information,(2) approach- and research design- related information,(3) quality-related information,(4) HVD determination-related information

Descriptive Information

Article number

A study number, corresponding to the study number assigned in an Excel worksheet

Complete reference

The complete source information to refer to the study (in APA style), including the author(s) of the study, the year in which it was published, the study's title and other source information.

Year of publication

The year in which the study was published.

Journal article / conference paper / book chapter

The type of the paper, i.e., journal article, conference paper, or book chapter.

Journal / conference / book

Journal article, conference, where the paper is published.

DOI / Website

A link to the website where the study can be found.

Number of words

A number of words of the study.

Number of citations in Scopus and WoS

The number of citations of the paper in Scopus and WoS digital libraries.

Availability in Open Access

Availability of a study in the Open Access or Free / Full Access.

Keywords

Keywords of the paper as indicated by the authors (in the paper).

Relevance for our study (high / medium / low)

What is the relevance level of the paper for our study

Approach- and research design-related information

Approach- and research design-related information

Objective / Aim / Goal / Purpose & Research Questions

The research objective and established RQs.

Research method (including unit of analysis)

The methods used to collect data in the study, including the unit of analysis that refers to the country, organisation, or other specific unit that has been analysed such as the number of use-cases or policy documents, number and scope of the SLR etc.

Study’s contributions

The study’s contribution as defined by the authors

Qualitative / quantitative / mixed method

Whether the study uses a qualitative, quantitative, or mixed methods approach?

Availability of the underlying research data

Whether the paper has a reference to the public availability of the underlying research data e.g., transcriptions of interviews, collected data etc., or explains why these data are not openly shared?

Period under investigation

Period (or moment) in which the study was conducted (e.g., January 2021-March 2022)

Use of theory / theoretical concepts / approaches? If yes, specify them

Does the study mention any theory / theoretical concepts / approaches? If yes, what theory / concepts / approaches? If any theory is mentioned, how is theory used in the study? (e.g., mentioned to explain a certain phenomenon, used as a framework for analysis, tested theory, theory mentioned in the future research section).

Quality-related information

Quality concerns

Whether there are any quality concerns (e.g., limited information about the research methods used)?

Public Data Ecosystem-related information

Public data ecosystem definition

How is the public data ecosystem defined in the paper and any other equivalent term, mostly infrastructure. If an alternative term is used, how is the public data ecosystem called in the paper?

Public data ecosystem evolution / development

Does the paper define the evolution of the public data ecosystem? If yes, how is it defined and what factors affect it?

What constitutes a public data ecosystem?

What constitutes a public data ecosystem (components & relationships) - their "FORM / OUTPUT" presented in the paper (general description with more detailed answers to further additional questions).

Components and relationships

What components does the public data ecosystem consist of and what are the relationships between these components? Alternative names for components - element, construct, concept, item, helix, dimension etc. (detailed description).

Stakeholders

What stakeholders (e.g., governments, citizens, businesses, Non-Governmental Organisations (NGOs) etc.) does the public data ecosystem involve?

Actors and their roles

What actors does the public data ecosystem involve? What are their roles?

Data (data types, data dynamism, data categories etc.)

What data do the public data ecosystem cover (is intended / designed for)? Refer to all data-related aspects, including but not limited to data types, data dynamism (static data, dynamic, real-time data, stream), prevailing data categories / domains / topics etc.

Processes / activities / dimensions, data lifecycle phases

What processes, activities, dimensions and data lifecycle phases (e.g., locate, acquire, download, reuse, transform, etc.) does the public data ecosystem involve or refer to?

Level (if relevant)

What is the level of the public data ecosystem covered in the paper? (e.g., city, municipal, regional, national (=country), supranational, international).

Other elements or relationships (if any)

What other elements or relationships does the public data ecosystem consist of?

Additional comments

Additional comments (e.g., what other topics affected the public data ecosystems and their elements, what is expected to affect the public data ecosystems in the future, what were important topics by which the period was characterised etc.).

New papers

Does the study refer to any other potentially relevant papers?

Additional references to potentially relevant papers that were found in the analysed paper (snowballing).

Format of the file.xls, .csv (for the first spreadsheet only), .docx

Licenses or restrictionsCC-BY

For more info, see README.txt

The dataset consists of semi-quantitative monthly mean surface ozone (O3) and relative humidity data for the same months and periods of the ozone data series, tabulated in text format. The data is provided from 23 observatories (listed in Tables 1 and 2). The reported monthly mean values originate in daily observations, from a 24-hour strip exposure between 3 PM of consecutive days or two daily observations from a 12-hour strip exposure from 9 AM to 9 PM and 9 PM until 9 AM the following day. The first observations reported correspond to the dataset from the Observatory Infante D. Luiz, the longest data series of semi-quantitative ozone observations known to date, which spans 58 years for monthly data (1855 to 1913); see Añel et al. (2024). The daily observations corresponding to the reported monthly values are available from Añel et al. (2024b). We note that the reported monthly values come from independent tables in the documentary sources, not computed from the mentioned daily values. […]

The informed use of scales and units in evolutionary quantitative genetics is often neglected, and naïve standardizations can cause misinterpretations of empirical results. A potentially influential example of such neglect can be found in the recent book by Stevan J. Arnold (2023. Evolutionary Quantitative Genetics Oxford University Press). There, Arnold championed the use of heritability over mean-scaled genetic variance as a measure of evolutionary potential arguing that mean-scaled genetic variances are correlated with trait means while heritabilities are not. Here, we show that Arnold's empirical result is an artifact of ignoring the units in which traits are measured. More importantly, Arnold’s argument mistakenly assumes that the goal of mean scaling is to remove the relationship between mean and variance. In our view, mean scaling is useful because it puts traits with different units on a common scale that makes evolutionary changes, or their potential, readily interpretable and comparable in terms of proportions of the mean. Methods Data are part of two previously published studies, Houle 1992 Genetics and Holstad et al. 2024 Science. Details about the methods to collect the data can be found in the original papers.

Leadership and governance are key components of health systems, nevertheless research into leadership and governance of mental healthcare at the Primary Health Care (PHC) level is probably the least well researched and understood part of these systems. As part of assessing the integration of mental health at the PHC level in Ghana, the leadership and governance organisation and structures to ensure supervision and coordination were examined. A concurrent triangulation mixed-methods design involving both quantitative and qualitative research methods approach was adopted. The quantitative data were collected through a questionnaire, self-administered or interviewer administered, on 1010 respondents with 830 completed (response rate 82%). Key informant interviews and focus group discussions were used to collect the qualitative data. Thematic content analysis utilising NVivo 12 was applied for the qualitative field data. Stata SE16 was used for quantitative data. Data triangulation strategy was used to report the qualitative and quantitative results. The study showed that leadership and governance of mental health at the PHC level were partially developed, with a composite mean score of 2.53, due to the modest level of awareness of the Mental Health Law, inadequate functioning and coordination of mental health units, low private sector participation in mental health care services, and low levels of monitoring, supervision, and evaluation. This affected the integration of mental health at the PHC level, which was also gauged as low. The study concludes that despite the presence of legislation and policy aiming to achieve decentralised and integrated mental health services at the PHC level, mental health care is still a low-level priority within the health care system in Ghana and tends to operate within a silo. The study recommends that more practical and concerted leadership of mental health at the regional and district levels is required to drive decentralisation and integration at these levels.

Abstract

The percentage of adolescents who do not drink alcohol seems to have increased in the Western world in the past years. However, alcohol abstainers are a particularly understudied group, especially in Switzerland. In order to fill in this gap, the objectives of this research were: (1) To describe the characteristics of alcohol abstainers and whether abstinence evolves into alcohol use over time; (2) To assess the reasons why some youths decide not to drink alcohol or, at the most, drink very moderately; and (3) To understand how abstinent youths live their choice, and how they are perceived/treated by their peers. To respond to the research questions, we plan to use an Explanatory Sequential Design: a mixed-methods design implying collecting and analyzing quantitative and then qualitative data in two consecutive phases within one study.

Geographic coverage

TREE: national / Switzerland

GenerationFRee : Canton of Fribourg

Qualitative part: French-speaking part of Switzerland, mainly canton of Vaud

Analysis unit

TREE1 : 3347 participants (longitudinal sample, after imputation and weights)

GenerationFRee 1645 participants (longitudinal sample, after imputation and weights)

Qualitative data : 63 participants, including non-consumers and consumers of alcohol, aged between 14 and 20 living in the French-speaking part of Switzerland and fluent in French

Universe

TREE: young people living in Switzerland who participated in the Programme for International Student Assessment (PISA) survey of the year 2000 and left compulsory school the same year (mean age 16 years at baseline). The sample was then followed annually.

GenerationFRee: students and apprentices (post-mandatory school) in the canton of Fribourg

Qualitative data: youth aged between 14 and 20 living in the French-speaking part of Switzerland and fluent in French

Kind of data

Qualitative and quantitative data

For quantitative data, we performed secondary analyses with no data collection.

Data are available on separated deposit: • TREE1 (original data) : https://doi.org/10.23662/FORS-DS-816-7 • TREE2 (original data) : https://doi.org/10.23662/FORS-DS-1255-1 • GenerationFREE (extract useful for this project) and qualitative data : https://doi.org/10.16909/dataset/37

Quantitative data GenerationFRee is a longitudinal (4 waves) study carried in all post-mandatory schools in the canton of Fribourg among students and apprentices (aged 15-24 years, mean age of 16 at baseline). We used explanatory variables such as biological sex, age, place of birth, type of residence (rural, urban), family structure, academic track, school performance (self-assessment), relationship with the mother and the father, monthly available money, current tobacco smoking, current cannabis use, physical activity, social life, positive view of the future, family socioeconomic status (self-assessment), somatic health and emotional well-being. For the independent variable, alcohol status, the questions asked were Q1-“Do you drink alcohol?” and Q2-“Have you been drunk in the last 30 days?”. Q1 possible answers were “yes” or “no” and Q2 possible answers were: 1=“never”, 2=“1 to 2 times”, 3=”3 to 9 times”, 4= “10 times or more”. The categories were defined as: - Abstinent: answer “no” to Q1 - Light drinkers: Q1=”yes”, Q2=”1” (ever used alcohol but never been drunk) - Heavy drinkers: Q1=”yes”, Q2=”2”, “3” or “4” (ever used alcohol and been drunk in the last 30 days

The TREE1 cohort is a longitudinal study based on a sample of more than 6000 young people living in Switzerland who participated in the Programme for International Student Assessment (PISA) survey of the year 2000 and left compulsory school the same year (mean age 16 years at baseline). The sample was followed annually from 2001 to 2007 and additionally in 2010 and 2014 for a total of nine waves. The TREE2 cohort is the second of the TREE cohorts. The design is the same, with a baseline in 2016 (mean age 16 years at baseline) and an annual wave since 2017, with only the first two waves available for analysis at the moment. For the TREE cohorts, the question included in the questionnaire was “How many times have you drank alcohol in the last month?” The possible answers ranged from 1 [Never] to 5 [Every day]. Three categories were defined for the current analysis: • Abstinent (Never); • Light drinkers (1-3 times per month); • Heavy drinkers (weekly or more often).

Qualitative data The objectives of the qualitative research were to explore how young people define the term ‘abstinence’; to explore their opinions on the Dry January challenge; to assess the reasons why some young people decide not to drink alcohol; to assess the advantages and disadvantages of non-consumption of alcohol; to understand how young non-drinkers live their choice and how they are perceived/treated by their peers; to identify strategies used by non-drinkers to avoid alcohol use while still socializing with their friends. In order to extract the different themes and dimensions raised by the participants, we carried out a thematic content analysis, a method of extracting subjective interpretations and meanings using a process of classification and categorisation of the data

Sampling procedure

The procedures are indicated on the dataset-specific repositories.

Mode of data collection

Procedures are available on the relevant dataset-specific pages.

Cleaning operations

The procedures are indicated on the dataset-specific repositories.

Mean averages, standard deviations, and median averages for fifteen MSLQ-J categories plus gender and academic rank data at pre-intervention are shown in Table 1. No categories significantly differed between the PIF-SRL and control groups.

The subtracted (post- minus pre-intervention) between-group scores in the 15 MSLQ-J categories are shown in Table 2. Improvements in 1. Intrinsic goal orientation and 10. Critical thinking were significantly better in the PIF-SRL group than the control group with ε2 values 0.096 (p = .005) and 0.051 (p = .041), respectively.

The first step in a behavioral study is represented by the organization of a suitable ethogram, that is, a formal description of individual components of the behavior. Then, each component of such a behavioral repertoire can be quantified (e.g., how many times it occurs, its duration, percent distribution, latency, etc.). However, it is our contention that the possibility to describe the behavior of a living being by means of hundreds or even thousands of numbers concerning isolated components, disjointed from the comprehensive behavioral architecture, does not imply the possibility to use those numbers to reconstruct the meaning of behavior. Such a level of comprehension requires a qualitative approach based on the analysis of behavioral structure and its underlying dynamics. By means of synergic utilization of quantitative and qualitative data a more complete description of a given behavior becomes available. In present study we discuss results obtained from observations of feeding behavior in two groups of male Wistar rats: a control group, under standard diet, and a second group, under hyperglycidic one. Results have been presented both in terms of quantitative evaluations and in terms of structural/qualitative ones, the latter obtained by means of T-pattern detection and analysis. As to quantitative results, mean durations showed a significant reduction of Walking and Feeding and an increase of Hind-Paw Licking and Body Grooming; concerning mean occurrences, a significant increase of Front-Paw Licking, Hind-Paw Licking, and Body Grooming was present; percent distributions showed significant reductions for Walking and Feeding and a significant increase for all grooming activities. As to qualitative assessments, T-pattern analysis unveiled a clear-cut behavioral reorganization induced by the hyperglycidic diet. If on the one hand, 50 different T-patterns were detected in subjects under standard diet, on the other hand, 703 different T-patterns were discovered in animals under hyperglycidic treatment, with a highly significant increase of mean lengths and a significant reduction of mean occurrences of T-patterns. Synergic evaluation of results in terms of quantitative and qualitative aspects shows, in rats fed with hyperglycidic diet, an increased anxiety condition, likely dependent on food-related stimuli and suggestive of a pervasive craving-related behavior.

One of the major duties the Bank of England (BoE) is tasked with is keeping inflation rates low and stable. The usual tactic for keeping inflation rates down, and therefore the price of goods and services stable by the Bank of England is through lowering the Bank Rate. Such a measure was used in 2008 during the global recession when the BoE lowered the bank base rate from **** percent to *** percent. Due to the economic fears surrounding the COVID-19 virus, as of the 19th of March 2020, the bank base rate was set to its lowest ever standing. The issue with lowering interest rates is that there is an end limit as to how low they can go. Quantitative easing Quantitative easing is a measure that central banks can use to inject money into the economy to hopefully boost spending and investment. Quantitative easing is the creation of digital money in order to purchase government bonds. By purchasing large amounts of government bonds, the interest rates on those bonds lower. This in turn means that the interest rates offered on loans for the purchasing of mortgages or business loans also lowers, encouraging spending and stimulating the economy. Large enterprises jump at the opportunity After the initial stimulus of *** billion British pounds through quantitative easing in March 2020, the Bank of England announced in June that they would increase the amount by a further 100 billion British pounds. In March of 2020, the headline flow of borrowing by non-financial industries including construction, transport, real estate and the manufacturing sectors increased significantly.

Purpose Medical schools increasingly rely on near-peer tutors for ultrasound teaching. We set out to compare the efficacy of a blended near-peer ultrasound teaching program to that of a faculty course in a randomized controlled trial. Methods 152 medical students received 21 hours of ultrasound teaching either by near-peer teachers or medical doctors. The near-peer course consisted of blended learning that included spaced repetition. The faculty-led course was the European common course for abdominal sonography. The primary outcome measurement was the students' ultrasound knowledge at month 6, assessed by structured examination (score 0 to 50). Secondary outcomes included scores at month 0 and changes in scores after the course. ResultsStudents in the near-peer group scored 37 points, and students in the faculty group scored 31 points six months after course completion. The difference of 5.99 points (95% CI 4.48;7.49) in favor of the near-peer group was significant (p<0.001). Scores immediately after the course were 3.8 points higher in the near-peer group (2.35; 5.25, p<0.001). Ultrasound skills decreased significantly in the six months after course completion in the faculty group (-2.41 points, [-3.39; -1.42], p<0.001]) but barely decreased in the near-peer group (-0.22 points, [-1.19; 0.75, p=0.66]). ConclusionThe near-peer course that combined blended learning and spaced repetition outperformed standard faculty teaching in basic ultrasound education. This study encourages medical schools to use peer teaching combined with e-learning and spaced repetition as an effective means to meet the increasing demand for ultrasound training. Explanation of all the instruments used in the data collection (including phrasing of items in surveys) Baseline Questionnaire, Exam Sheets OSCE 1, Questionnaire at OSCE 1, Exam Sheets OSCE 2, Questionnaire at OSCE 2. Items see separate table "Instrumente_SIGNATURE_v13" Explanation of the data files: what data is stored in what file? "Full data set" contains all the data from the 3 questionnaires and the 2 exams mentioned above. The second file "Instrumente_SIGNATURE_v13" explains the meaning of the columns in the data set In case of quantitative data: meaning and ranges or codings of all columns See separate table "Instrumente_SIGNATURE_v13"

Under the circumstances of “Curriculum ideological and political”, in order to adapt to the reform of college English teaching and the needs of Education for Sustainable Development (ESD), as well as optimize the A-level distinguishable teaching mode of college English stratified teaching, this paper takes the fifth stage of “Production Oriented Approach” (POA) as the theoretical basis and completes a one-semester mixed teaching experiment for the Chinese culture translation section in New Horizon College English. Taking the paragraph translation of “Tai Chi” as an example, a detailed teaching design and implementation process were presented, attempting to construct a sustainable blended teaching model for the cultural translation section of college English. Quantitative and qualitative data statistics and analysis were used to evaluate and reflect on the effectiveness of teaching practice. The research results indicate that compared to traditional college English teaching, blended teaching model based on POA can enhance the English language and cultural output ability of A-level students. The mode is of sustainable value, which is beneficial to students understanding of Chinese culture, thereby enhancing their cultural confidence. In addition, this model can effectively enhance teachers’ ability to apply theoretical knowledge in blended teaching design, which has certain significance for the college English curriculum reform and the practice of “curriculum-based political and ideological education”.

Background In Uganda, fertility rates and adult HIV prevalence are high, and many women conceive with partners living with HIV. PrEP reduces HIV acquisition for women and, therefore, infants. We developed the Healthy-Families-PrEP intervention to support PrEP use as part of HIV prevention during periconception-pregnancy periods. We conducted a longitudinal cohort study to evaluate oral PrEP use among women participating in the intervention. Methods and Findings We enrolled HIV-negative women with plans for pregnancy with a partner living, or thought to be living, with HIV (2017-2020) to evaluate PrEP use among women participating in the Healthy-Families intervention. Quarterly study visits through 9 months included HIV and pregnancy testing, and HIV prevention counseling. PrEP was provided in electronic pillboxes, providing the primary adherence measure (“high” adherence when pillbox was opened >80% of days). Enrollment questionnaires assessed factors associated with PrEP use. Plasma tenofovir (TFV) and intraerythrocytic TFV-diphosphate (TFV-DP) concentrations were determined quarterly for women who acquired HIV and a randomly selected subset of those who did not; concentrations TFV >40ng/mL and TFV-DP >600fmol/punch were categorized as “high”. Women who became pregnant were initially exited from the cohort by design; from April 2019, women with incident pregnancy remained in the study with quarterly follow-up until pregnancy outcome. Primary outcomes included (1) PrEP uptake (proportion who initiated PrEP) and (2) PrEP adherence (proportion of days with pillbox openings during the first 3 months following PrEP initiation). We used univariable and multivariable-adjusted linear regression to evaluate baseline predictors selected based on our conceptual framework of mean adherence over 3 months. We also assessed mean monthly adherence over 9 months of follow-up and during pregnancy. We enrolled 131 women with mean age 28.7 years (95% CI:27.8-29.5). Ninety-seven (74%) reported a partner with HIV and 79 (60%) reported condomless sex. Most women (N=118; 90%) initiated PrEP. Mean electronic adherence during the 3 months following initiation was 87% (95% CI:83%, 90%). No covariates were associated with 3-month pill-taking behavior. Concentrations of plasma TFV and TFV-DP were high among 66% and 47%, 56% and 41%, and 45% and 45% at months 3, 6, and 9, respectively. We observed 53 pregnancies among 131 women (1-year cumulative incidence 53% [95% CI:43%, 62%]) and one HIV-seroconversion in a non-pregnant woman. Mean pillcap adherence for PrEP users with pregnancy follow-up (N=17) was 98% (95% CI:97%, 99%). Study design limitations include lack of a control group. Conclusions Women in Uganda with PrEP indications and planning for pregnancy chose to use PrEP. By electronic pillcap, most were able to sustain high adherence to daily oral PrEP prior to and during pregnancy. Differences in adherence measures highlight challenges with adherence assessment; serial measures of TFV-dp in whole blood suggest 41-47% of women took sufficient periconception PrEP to prevent HIV. These data suggest that women planning for and with pregnancy should be prioritized for PrEP implementation, particularly in settings with high fertility rates and generalized HIV epidemics. Future iterations of this work should compare the outcomes to current standard of care.

This dataset contains data collected during a study ("Towards High-Value Datasets determination for data-driven development: a systematic literature review") conducted by Anastasija Nikiforova (University of Tartu), Nina Rizun, Magdalena Ciesielska (Gdańsk University of Technology), Charalampos Alexopoulos (University of the Aegean) and Andrea Miletič (University of Zagreb) It being made public both to act as supplementary data for "Towards High-Value Datasets determination for data-driven development: a systematic literature review" paper (pre-print is available in Open Access here -> https://arxiv.org/abs/2305.10234) and in order for other researchers to use these data in their own work.

The protocol is intended for the Systematic Literature review on the topic of High-value Datasets with the aim to gather information on how the topic of High-value datasets (HVD) and their determination has been reflected in the literature over the years and what has been found by these studies to date, incl. the indicators used in them, involved stakeholders, data-related aspects, and frameworks. The data in this dataset were collected in the result of the SLR over Scopus, Web of Science, and Digital Government Research library (DGRL) in 2023.

Methodology

To understand how HVD determination has been reflected in the literature over the years and what has been found by these studies to date, all relevant literature covering this topic has been studied. To this end, the SLR was carried out to by searching digital libraries covered by Scopus, Web of Science (WoS), Digital Government Research library (DGRL).

These databases were queried for keywords ("open data" OR "open government data") AND ("high-value data*" OR "high value data*"), which were applied to the article title, keywords, and abstract to limit the number of papers to those, where these objects were primary research objects rather than mentioned in the body, e.g., as a future work. After deduplication, 11 articles were found unique and were further checked for relevance. As a result, a total of 9 articles were further examined. Each study was independently examined by at least two authors.

To attain the objective of our study, we developed the protocol, where the information on each selected study was collected in four categories: (1) descriptive information, (2) approach- and research design- related information, (3) quality-related information, (4) HVD determination-related information.

Test procedure Each study was independently examined by at least two authors, where after the in-depth examination of the full-text of the article, the structured protocol has been filled for each study. The structure of the survey is available in the supplementary file available (see Protocol_HVD_SLR.odt, Protocol_HVD_SLR.docx) The data collected for each study by two researchers were then synthesized in one final version by the third researcher.

Description of the data in this data set

Protocol_HVD_SLR provides the structure of the protocol Spreadsheets #1 provides the filled protocol for relevant studies. Spreadsheet#2 provides the list of results after the search over three indexing databases, i.e. before filtering out irrelevant studies

The information on each selected study was collected in four categories: (1) descriptive information, (2) approach- and research design- related information, (3) quality-related information, (4) HVD determination-related information

Descriptive information
1) Article number - a study number, corresponding to the study number assigned in an Excel worksheet 2) Complete reference - the complete source information to refer to the study 3) Year of publication - the year in which the study was published 4) Journal article / conference paper / book chapter - the type of the paper -{journal article, conference paper, book chapter} 5) DOI / Website- a link to the website where the study can be found 6) Number of citations - the number of citations of the article in Google Scholar, Scopus, Web of Science 7) Availability in OA - availability of an article in the Open Access 8) Keywords - keywords of the paper as indicated by the authors 9) Relevance for this study - what is the relevance level of the article for this study? {high / medium / low}

Approach- and research design-related information 10) Objective / RQ - the research objective / aim, established research questions 11) Research method (including unit of analysis) - the methods used to collect data, including the unit of analy-sis (country, organisation, specific unit that has been ana-lysed, e.g., the number of use-cases, scope of the SLR etc.) 12) Contributions - the contributions of the study 13) Method - whether the study uses a qualitative, quantitative, or mixed methods approach? 14) Availability of the underlying research data- whether there is a reference to the publicly available underly-ing research data e.g., transcriptions of interviews, collected data, or explanation why these data are not shared? 15) Period under investigation - period (or moment) in which the study was conducted 16) Use of theory / theoretical concepts / approaches - does the study mention any theory / theoretical concepts / approaches? If any theory is mentioned, how is theory used in the study?

Quality- and relevance- related information
17) Quality concerns - whether there are any quality concerns (e.g., limited infor-mation about the research methods used)? 18) Primary research object - is the HVD a primary research object in the study? (primary - the paper is focused around the HVD determination, sec-ondary - mentioned but not studied (e.g., as part of discus-sion, future work etc.))

HVD determination-related information
19) HVD definition and type of value - how is the HVD defined in the article and / or any other equivalent term? 20) HVD indicators - what are the indicators to identify HVD? How were they identified? (components & relationships, “input -> output") 21) A framework for HVD determination - is there a framework presented for HVD identification? What components does it consist of and what are the rela-tionships between these components? (detailed description) 22) Stakeholders and their roles - what stakeholders or actors does HVD determination in-volve? What are their roles? 23) Data - what data do HVD cover? 24) Level (if relevant) - what is the level of the HVD determination covered in the article? (e.g., city, regional, national, international)

Format of the file .xls, .csv (for the first spreadsheet only), .odt, .docx

Licenses or restrictions CC-BY

For more info, see README.txt

Tight Junctions (TJ) regulate paracellular permeability of tissue barriers. Claudins (Cld) form the backbone of TJ-strands. Pore-forming claudins determine the permeability for ions, whereas that for solutes and macromolecules is assumed to be crucially restricted by the strand morphology (i.e., density, branching and continuity). To investigate determinants of the morphology of TJ-strands we established a novel approach using localization microscopy. TJ-strands were reconstituted by stable transfection of HEK293 cells with the barrier-forming Cld3 or Cld5. Strands were investigated at cell-cell contacts by Spectral Position Determination Microscopy (SPDM), a method of localization microscopy using standard fluorophores. Extended TJ-networks of Cld3-YFP and Cld5-YFP were observed. For each network, 200,000 to 1,100,000 individual molecules were detected with a mean localization accuracy of ∼20 nm, yielding a mean structural resolution of ∼50 nm. Compared to conventional fluorescence microscopy, this strongly improved the visualization of strand networks and enabled quantitative morphometric analysis. Two populations of elliptic meshes (mean diameter <100 nm and 300–600 nm, respectively) were revealed. For Cld5 the two populations were more separated than for Cld3. Discrimination of non-polymeric molecules and molecules within polymeric strands was achieved. For both subtypes of claudins the mean density of detected molecules was similar and estimated to be ∼24 times higher within the strands than outside the strands. The morphometry and single molecule information provided advances the mechanistic analysis of paracellular barriers. Applying this novel method to different TJ-proteins is expected to significantly improve the understanding of TJ on the molecular level.

MBI questionnaire results over time periods T1–T4 [Mean + /− Standard Error of Mean (SEM)].

Purpose to verify the quantitative changes in the swallowing dynamics in patients with Parkinson´s disease submitted to treatment with riboflavin, red meat and poultry removed during one year period. Methods sixteen patients with Parkinson´s disease participated in the study; the mean age was 67.25 years, the mean degree of disease severity was II to III, and the mean time since the diagnosis of the disease was 3.5 years. Videofluoroscopic evaluations were performed before and one year after treatment with riboflavin and diet with restriction of read meat and poultry. Analyzed were presence of complaints related to swallowing and quantitative analyses of swallowing includind computerized measurements of hyoid bone and cricoid cartilage displacement, opening of the superior esophageal sphincter and pharyngeal constriction. Results decrease of complaints was observed after administration of riboflavin. About the quantitative measures after riboflavin, there were a increase in the opening of the superior esophageal sphincter for all consistencies offered, an increase in the pharyngeal constriction for the thickened liquid, a reduction in the hyoide bone displacement, and an increase or a reduction in the cricoid cartilage displacement for each consistency, with significant reduction for the liquid. Conclusion quantitative measurements made in the movement of organs associated with swallowing showed no significant differences between pre-and post-riboflavin, and red meat and poultry removed.

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.

As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be developed for use in the weighted sum of the different favorability index models produced from geoscientific exploration datasets. This was done using two different approaches: one based on expert opinions, and one based on statistical learning. This GDR submission includes the datasets used to produce the statistical learning-based weights.

While expert opinions allow us to include more nuanced information in the weights, expert opinions are subject to human bias. Data-centric or statistical approaches help to overcome these potential human biases by focusing on and drawing conclusions from the data alone. The drawback is that, to apply these types of approaches, a dataset is needed. Therefore, we attempted to build comprehensive standardized datasets mapping anomalies in each exploration dataset to each component of each play. This data was gathered through a literature review focused on magmatic hydrothermal plays along with well-characterized areas where superhot or supercritical conditions are thought to exist. Datasets were assembled for all three play types, but the hydrothermal dataset is the least complete due to its relatively low priority.

For each known or assumed resource, the dataset states what anomaly in each exploration dataset is associated with each component of the system. The data is only a semi-quantitative, where values are either high, medium, or low, relative to background levels. In addition, the dataset has significant gaps, as not every possible exploration dataset has been collected and analyzed at every known or suspected geothermal resource area, in the context of all possible play types. The following training sites were used to assemble this dataset: - Conventional magmatic hydrothermal: Akutan (from AK PFA), Oregon Cascades PFA, Glass Buttes OR, Mauna Kea (from HI PFA), Lanai (from HI PFA), Mt St Helens Shear Zone (from WA PFA), Wind River Valley (From WA PFA), Mount Baker (from WA PFA). - Superhot EGS: Newberry (EGS demonstration project), Coso (EGS demonstration project), Geysers (EGS demonstration project), Eastern Snake River Plain (EGS demonstration project), Utah FORGE, Larderello, Kakkonda, Taupo Volcanic Zone, Acoculco, Krafla. - Supercritical: Coso, Geysers, Salton Sea, Larderello, Los Humeros, Taupo Volcanic Zone, Krafla, Reyjanes, Hengill. **Disclaimer: Treat the supercritical fluid anomalies with skepticism. They are based on assumptions due to the general lack of confirmed supercritical fluid encounters and samples at the sites included in this dataset, at the time of assembling the dataset. The main assumption was that the supercritical fluid in a given geothermal system has shared properties with the hydrothermal fluid, which may not be the case in reality.

Once the datasets were assembled, principal component analysis (PCA) was applied to each. PCA is an unsupervised statistical learning technique, meaning that labels are not required on the data, that summarized the directions of variance in the data. This approach was chosen because our labels are not certain, i.e., we do not know with 100% confidence that superhot resources exist at all the assumed positive areas. We also do not have data for any known non-geothermal areas, meaning that it would be challenging to apply a supervised learning technique. In order to generate weights from the PCA, an analysis of the PCA loading values was conducted. PCA loading values represent how much a feature is contributing to each principal component, and therefore the overall variance in the data.