cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25678/0006en
title: Data for: Gamifying and evaluating problem structuring: a card game workshop for generating decision objectives

description: Serious games, gamification, or game-based interventions are increasingly used as tools to aid participatory decision-making processes, but their evaluation is often not very rigorous. Therefore, it is still unclear whether game-based interventions are really beneficial. We focused on the following overarching question: how effective are game-based interventions specifically designed to support decision-making processes. We used an illustrative case to reflect on this question. Using a published framework proposing that design processes of game-based interventions and their evaluation are intertwined, we designed simultaneously (1) a game-based intervention, specifically a card game and a workshop structure in which this card game is to be used, and (2) its evaluation procedure, formulating evaluation questions and proposing measure instruments based on the literature. We pre-tested the evaluation procedure in a small pilot study with 10 students. We illustrate the use of the design framework for an intervention to generate objectives in a decision-making process about sustainable wastewater management. Through our illustrative case, we identify future research opportunities about designing game-based interventions and evaluating their effectiveness. We found that it is possible to address the dual challenge of game-based interventions for participatory decision-making processes: (1) designing an informative and engaging game-based intervention without telling participants what to think and (2) designing a tailored evaluation procedure. Designing the game-based intervention and its evaluation simultaneously is valuable, because both are strongly intertwined. However, conducting the evaluation is demanding and requires the collaborative efforts of scientists, including across disciplinary boundaries. For instance, the data collection effort could be distributed among different research groups to increase sample size. This would allow including control treatment(s) and covering the variation span of the confounding factors more broadly. All material is made openly available to foster collaborative future research.
DOI: 10.21227/f3q6-0986
title: BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part I

description:  BIMCV-COVID19+ dataset is a large dataset with chest X-ray images CXR (CR, DX) and computed tomography (CT) imaging of COVID-19 patients along with their radiographic findings, pathologies, polymerase chain reaction (PCR), immunoglobulin G (IgG) and immunoglobulin M (IgM) diagnostic antibody tests and radiographic reports from Medical Imaging Databank in Valencian Region Medical Image Bank (BIMCV). The findings are mapped onto standard Unified Medical Language System (UMLS) terminology and they cover a wide spectrum of thoracic entities, contrasting with the much more reduced number of entities annotated in previous datasets. Images are stored in high resolution and entities are localized with anatomical labels in a Medical Imaging Data Structure (MIDS) format. In addition, 5 images were annotated by a team of expert radiologists to include semantic segmentation of radiographic findings. Moreover, extensive information is provided,including the patient’s demographic information, type of projection and acquisition parameters for the imaging study, among others. These iterations of the database include 21342 CR, 34829 DX and 7918 CT studies.   This work is first and foremost an open and free contribution from the authors in the working group with support from the Regional Ministry of Innovation, Universities, Science and Digital Society grant awarded through decree 51/2020 by the Valencian Innovation Agency (Spain) and Regional Ministry of Health in Valencia Region. This research is also supported by the University of Alicante’s UACOVID-19-18 project.   Part of the infrastructure used has been cofunded by the European Union through the Operational Program of the European Fund of Regional Development (FEDER) of the Valencian Community 2014-2020. The Medical Image Bank of the Valencian Community was partially funded by the European Union’s Horizon 2020 Framework Programme under grant agreement 688945 (Euro-BioImaging PrepPhase II).
DOI: 10.5281/zenodo.6328304
title: Where2Test Saxony-Czechia COVID-19 new cases dataset

description: Data in the repository were used in the study "Fine-scale variation in the effect of national border on COVID-19 spread: A case study of the Saxon-Czech border region", published in Spatial and Spatio-temporal Epidemiology. This repository consists of two files: <strong>saxony-westczechia_cases7</strong> Weekly numbers of new COVID-19 cases in all municipalities in Saxony and Northwestern Czechia (Liberec, Ústí nad Labem, and Karlovy Vary regions) in the first half of 2021. Data are extracted from the websites coronavirus.sachsen and onemocneni-aktualne.mzcr.cz/covid-19. The missing values were interpolated, and daily values were recalculated to weekly values. <strong>municipalities</strong> The second file consists of a list of all municipalities with their names, geometries, and population values. For Germany, we used the dataset "Gemeindegrenzen 2018 mit Einwohnerzahl" (© GeoBasis-DE / BKG, Statistisches Bundesamt (Destatis) (2020), dl-de/by-2-0) as a source of geometries and population sizes of the municipalities (“<em>Gemeinde”</em>) in Saxony. Czech population numbers on the municipality level ("obec") were taken from the Czech Statistical Office, while the geometries were obtained from RÚIAN (@Czech Office for Surveying, Mapping and Cadastre, 2021). To keep the same geometry detail on both sides of the borders, we applied the Douglas-Peucker simplification algorithm implemented in the Python library TopoJSON.
description: This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany's Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture, and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. If using the data, please cite all the sources properly.
description: {"references": ["Komenda M., Bulhart V., Karolyi M., et al. Complex reporting of coronavirus disease (COVID-19) epidemic in the Czech Republic: use of interactive web-based application in practice. J Med Internet Res 2020;22(5):e19367.", "https://www.coronavirus.sachsen.de"]}
DOI: 10.5281/zenodo.6328303
title: Where2Test Saxony-Czechia COVID-19 new cases dataset

description: Data in the repository were used in the study "Fine-scale variation in the effect of national border on COVID-19 spread: A case study of the Saxon-Czech border region", published in Spatial and Spatio-temporal Epidemiology. This repository consists of two files: <strong>saxony-westczechia_cases7</strong> Weekly numbers of new COVID-19 cases in all municipalities in Saxony and Northwestern Czechia (Liberec, Ústí nad Labem, and Karlovy Vary regions) in the first half of 2021. Data are extracted from the websites coronavirus.sachsen and onemocneni-aktualne.mzcr.cz/covid-19. The missing values were interpolated, and daily values were recalculated to weekly values. <strong>municipalities</strong> The second file consists of a list of all municipalities with their names, geometries, and population values. For Germany, we used the dataset "Gemeindegrenzen 2018 mit Einwohnerzahl" (© GeoBasis-DE / BKG, Statistisches Bundesamt (Destatis) (2020), dl-de/by-2-0) as a source of geometries and population sizes of the municipalities (“<em>Gemeinde”</em>) in Saxony. Czech population numbers on the municipality level ("obec") were taken from the Czech Statistical Office, while the geometries were obtained from RÚIAN (@Czech Office for Surveying, Mapping and Cadastre, 2021). To keep the same geometry detail on both sides of the borders, we applied the Douglas-Peucker simplification algorithm implemented in the Python library TopoJSON.
description: This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany's Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture, and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. If using the data, please cite all the sources properly.
description: {"references": ["Komenda M., Bulhart V., Karolyi M., et al. Complex reporting of coronavirus disease (COVID-19) epidemic in the Czech Republic: use of interactive web-based application in practice. J Med Internet Res 2020;22(5):e19367.", "https://www.coronavirus.sachsen.de"]}
DOI: 10.25678/000713
title: Data for: Gamified environmental multi‐criteria decision analysis: information on objectives and range insensitivity bias

description: Multi-criteria decision analysis (MCDA) is well suited to address complex public policy problems but could benefit from new tools to involve many laypeople. Online information on specialized topics could be more engaging by including game elements. This paper reports an experiment that assessed a gamified interface to (1) inform laypeople about the objectives to consider in wastewater management decisions, (2) assist them in constructing range-based preferences, and (3) provide a positive experience. We measured the effects with (1) a knowledge pre- and posttest, (2) the elicited weights and a range sensitivity index, and (3) an experience questionnaire based on self-determination theory. Answers from 174 participants indicated that participants learnt about the objectives and constructed preferences in both the gamified and control treatments. However, in neither were weights sufficiently adjusted. Our gamification making the ranges salient did not help overcome this bias. Both treatments were experienced as neutral to positive, the gamified being more entertaining. We discuss implications: if gamification of tools for participatory decision-making is to be promoted, it requires further research. Range insensitivity remains an unresolved bias in MCDA.
DOI: 10.25678/000757
title: Data for: Innovative online survey about sustainable wastewater management: what young Swiss citizens know and value

description: Investigating wastewater management matters: in many OECD countries, the conventional centralized system is reaching its limits. Alternative decentralized options exist. Some directly affect citizens with in-house wastewater treatment. Involving citizens in decision processes would legitimate the outcome and facilitate implementation. However, citizen participation is challenging because they are numerous, and need to learn about the topic and construct their opinion. To include citizens, we propose an innovative online survey based on Multi-Attribute Value Theory (MAVT). Citizens receive value-focused information, and can communicate their preferences, captured as weights assigned to objectives. We collected quantitative and qualitative data, and elicited preferences from 184 young Swiss citizens, who will have to live with the decision outcome. In addition to reporting on insights for wastewater management, we assessed our survey, i.e. whether respondents learnt about the topic, constructed preferences, and understood the requirement to think in terms of objectives. Water quality and health protection mattered the most. The objectives directly concerning the respondents (time demand, attractiveness) were the least important. The best-ranked option in the subsequent Multi-Criteria Decision Analysis was a decentralized source separating system with dry toilets. Respondents were unaware that such decentralized options exist, indicating that learning about the topic occurred. Preferences were mostly newly constructed from no opinion, or pre-existing ones were reinforced. Our value-focused online survey helped citizens to understand the complex decision and construct their preferences. Swiss decision-makers, and beyond, should not be scared of a paradigm shift in wastewater management: the young generation seems ready to decentralize.
DOI: 10.6084/m9.figshare.20509784
title: Microwave ablation combined with anti-PD-1/CTLA-4 therapy induces an antitumor immune response to renal cell carcinoma in a murine model

description: The study was designed to evaluate the efficiency of microwave ablation (MWA) in combination with anti-programmed death receptor 1 (anti-PD-1)/cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) in renal cell carcinoma (RCC) treatment. After tumors were established on C57/BL6 mice, MWA treatment and/or immune checkpoint inhibitor (ICI) treatment to the mice were performed. Tumor volume was recorded every 7 days. A rechallenge test was conducted on mice with tumors in the left kidney to explore the systemic establishment of antitumor immunity on day 7. In this study, during the 21-day observation period, tumors were continued to grow in all groups. However, compared with the tumor growth rate in MWA or control group, the rate in the ICI or MWA+ICI groups was decreased. Moreover, the population of CD8+T-cells was increased only in the MWA+ICI group, while that of regulatory T cells was decreased in the MWA, ICI, and MWA+ICI groups. Additionally, the MWA+ICI group had the highest interferon-γ level among all groups. Furthermore, histopathological examination revealed that CTLA-4 expression in distant tumors was reduced in the ICI and MWA + ICI groups. MWA treatment increased PD-L1/PD-1 expression; however, after the combination treatment with ICI, PD-L1/PD-1 expression was decreased. According to the rechallenge test, mice (16.7%) in the MWA group, ICI group (50%), and MWA+ICI group (66.7%) exhibited successful tumor rejection, whereas no mice in the control group exhibited the capability of tumor rejection. Overall, the systemic antitumor immunity induced by MWA was boosted when combined with anti-PD-1/CTLA-4 treatment in an RCC murine model.
DOI: 10.6084/m9.figshare.20509784.v1
title: Microwave ablation combined with anti-PD-1/CTLA-4 therapy induces an antitumor immune response to renal cell carcinoma in a murine model

description: The study was designed to evaluate the efficiency of microwave ablation (MWA) in combination with anti-programmed death receptor 1 (anti-PD-1)/cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) in renal cell carcinoma (RCC) treatment. After tumors were established on C57/BL6 mice, MWA treatment and/or immune checkpoint inhibitor (ICI) treatment to the mice were performed. Tumor volume was recorded every 7 days. A rechallenge test was conducted on mice with tumors in the left kidney to explore the systemic establishment of antitumor immunity on day 7. In this study, during the 21-day observation period, tumors were continued to grow in all groups. However, compared with the tumor growth rate in MWA or control group, the rate in the ICI or MWA+ICI groups was decreased. Moreover, the population of CD8+T-cells was increased only in the MWA+ICI group, while that of regulatory T cells was decreased in the MWA, ICI, and MWA+ICI groups. Additionally, the MWA+ICI group had the highest interferon-γ level among all groups. Furthermore, histopathological examination revealed that CTLA-4 expression in distant tumors was reduced in the ICI and MWA + ICI groups. MWA treatment increased PD-L1/PD-1 expression; however, after the combination treatment with ICI, PD-L1/PD-1 expression was decreased. According to the rechallenge test, mice (16.7%) in the MWA group, ICI group (50%), and MWA+ICI group (66.7%) exhibited successful tumor rejection, whereas no mice in the control group exhibited the capability of tumor rejection. Overall, the systemic antitumor immunity induced by MWA was boosted when combined with anti-PD-1/CTLA-4 treatment in an RCC murine model.
DOI: 10.25546/101186
title: DRNI Survey Data
DOI: 10.34740/kaggle/dsv/4802790
title: YouTube Daily
DOI: 10.5281/zenodo.7501065
title: QUIZ PERTEMUAN 14 TANGGAL 04 JANUARY 2023_MANAJEMEM KEUANGAN SEKTOR PUBLIK_STIESIA SURABAYA

description: <strong>Capaian Pembelajaran Mata Kuliah (MKSP)</strong> <strong>Mahasiswa mampu memahami dari materi pertemuan ke delapan sampai dengan 12</strong> <strong>Indikator Penilaian</strong> <strong>1. Tes Lisan</strong> <strong>2. Tes Tulis</strong>
description: QUIZ PERTEMUAN 14 TANGGAL 04 JANUARY 2023_MANAJEMEM KEUANGAN SEKTOR PUBLIK_STIESIA SURABAYA
DOI: 10.5281/zenodo.7501064
title: QUIZ PERTEMUAN 14 TANGGAL 04 JANUARY 2023_MANAJEMEM KEUANGAN SEKTOR PUBLIK_STIESIA SURABAYA

description: <strong>Capaian Pembelajaran Mata Kuliah (MKSP)</strong> <strong>Mahasiswa mampu memahami dari materi pertemuan ke delapan sampai dengan 12</strong> <strong>Indikator Penilaian</strong> <strong>1. Tes Lisan</strong> <strong>2. Tes Tulis</strong>
description: QUIZ PERTEMUAN 14 TANGGAL 04 JANUARY 2023_MANAJEMEM KEUANGAN SEKTOR PUBLIK_STIESIA SURABAYA
DOI: 10.6084/m9.figshare.18316212
title: Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study

description: <b>Aim of the study:</b> To assess the prognostic ability of the National Early Warning Score 2 (NEWS2) at three time points of care -at the emergency scene (NEWS2-1), just before starting the transfer by ambulance to the hospital (NEWS2- 2), and at the hospital triage box (NEWS2-3)- to estimate in-hospital mortality after two days since the index event. <b>Methods</b>: Prospective, multicenter, ambulance-based, cohort ongoing study in adults (&gt;18 years) consecutively attended by advanced life support (ALS) and evacuated with high-priority to the emergency departments (ED) between October 2018 and May 2021. Vital sign measures were used to calculate the NEWS2 score at each time point, then this score was entered in a logistic regression model as the single predictor. Two outcomes were considered: first, all-cause mortality of the patients within 2 days of presentation to EMS, and second, unplanned ICU admission. The calibration and scores comparison was performed by representing the predicted vs the observed risk curves according to NEWS score value. <b>Results:</b> 4943 patients were enrolled. Median age was 69 years (interquartile range 53- 81). The NEWS2-3 presented the better performance for all-cause two-day in-hospital mortality with an AUC of 0.941 (95% CI: 0.917-0.964), showing statistical differences with both the NEWS2-1 (0.872 (95% CI: 0.833-0.911); p &lt; 0.003) and with the NEWS2- 2 (0.895 (95% CI: 0.866-0.925; p &lt; 0.05). The calibration and scores comparison results showed that the NEWS2-3 was the best predictive score followed by the NEWS2-2 and the NEWS2-1, respectively. <b>Conclusions:</b> The NEWS2 has an excellent predictive performance. The score showed a very consistent response over time with the difference between “at the emergency scene” and “pre-evacuation” presenting the sharpest change with decreased threshold values, thus displaying a drop in the risk of acute clinical impairment.
DOI: 10.6084/m9.figshare.18316212.v1
title: Tracking the National Early Warning Score 2 from Prehospital Care to the Emergency Department: A Prospective, Ambulance-Based, Observational Study

description: <b>Aim of the study:</b> To assess the prognostic ability of the National Early Warning Score 2 (NEWS2) at three time points of care -at the emergency scene (NEWS2-1), just before starting the transfer by ambulance to the hospital (NEWS2- 2), and at the hospital triage box (NEWS2-3)- to estimate in-hospital mortality after two days since the index event. <b>Methods</b>: Prospective, multicenter, ambulance-based, cohort ongoing study in adults (&gt;18 years) consecutively attended by advanced life support (ALS) and evacuated with high-priority to the emergency departments (ED) between October 2018 and May 2021. Vital sign measures were used to calculate the NEWS2 score at each time point, then this score was entered in a logistic regression model as the single predictor. Two outcomes were considered: first, all-cause mortality of the patients within 2 days of presentation to EMS, and second, unplanned ICU admission. The calibration and scores comparison was performed by representing the predicted vs the observed risk curves according to NEWS score value. <b>Results:</b> 4943 patients were enrolled. Median age was 69 years (interquartile range 53- 81). The NEWS2-3 presented the better performance for all-cause two-day in-hospital mortality with an AUC of 0.941 (95% CI: 0.917-0.964), showing statistical differences with both the NEWS2-1 (0.872 (95% CI: 0.833-0.911); p &lt; 0.003) and with the NEWS2- 2 (0.895 (95% CI: 0.866-0.925; p &lt; 0.05). The calibration and scores comparison results showed that the NEWS2-3 was the best predictive score followed by the NEWS2-2 and the NEWS2-1, respectively. <b>Conclusions:</b> The NEWS2 has an excellent predictive performance. The score showed a very consistent response over time with the difference between “at the emergency scene” and “pre-evacuation” presenting the sharpest change with decreased threshold values, thus displaying a drop in the risk of acute clinical impairment.
DOI: 10.6084/m9.figshare.19119312
title: Paramedic-Performed Carotid Artery Ultrasound Heralds Return of Spontaneous Circulation in Out-of-Hospital Cardiac Arrest: A Case Report

description: Point-of-Care Ultrasound (POCUS) has been demonstrated to have multiple applications in the care of critically ill and injured patients, especially given its portability and ease of use. These characteristics of POCUS make it ideal for use in the prehospital environment as well. We present a case that highlights a novel application of ultrasound in the prehospital management of out-of-hospital cardiac arrest (OHCA).
DOI: 10.6084/m9.figshare.19119312.v1
title: Paramedic-Performed Carotid Artery Ultrasound Heralds Return of Spontaneous Circulation in Out-of-Hospital Cardiac Arrest: A Case Report

description: Point-of-Care Ultrasound (POCUS) has been demonstrated to have multiple applications in the care of critically ill and injured patients, especially given its portability and ease of use. These characteristics of POCUS make it ideal for use in the prehospital environment as well. We present a case that highlights a novel application of ultrasound in the prehospital management of out-of-hospital cardiac arrest (OHCA).
DOI: 10.21335/nmdc-386366190
title: Havforskningsinstituttet Tråling Postsmolt laks 2022 Trondheimsfjord

description: The dataset includes Institute of Marine Research data from trawl stations in Trondheimsfjord, Norway in 2022. Post-smolts were collected in the outer parts of the fjord systems in late spring and early summer with a specialized surface trawl for live fish sampling, towed behind a suitable fishing vessel (15-25 m). The trawl is 5 m deep and up to 35 m wide depending on speed through water. The trawl is mounted to a system where smaller catch, such as post-smolts are separated from other catch, and remain free swimming in low turbulence in a hydrodynamic aquarium. The separation takes place when the current flow through a net tunnel and over two 45 degrees racks. The first rack (10 mm between bars) lifts the catch to the next (20 mm between bars) where the separation is done. Everything wider than 20 mm will continue to the cod end of the trawl. Details of the post-smolt trawl are described in Holst and McDonald (2000), Fisheries Research 48, pp 87-91. Typical trawling speed is 2-3 knots (STW) with a duration of 2-4 hours. Lice counts on post-smolts were performed on the ship as soon as possible after they were captured. The fish were killed using an overdose of Benzocaine 200 mg/ml. Lice counts were performed with the fish submerged in a white plastic tub (5-10 l) using a strong headlamp (&gt;500 lumen). The counts were only performed by personnel with special training in identification of all salmon lice stages. The following categories were recorded: copepodite, chalimus 1, chalimus 2, pre-adult, adult male and adult female. Fish length in mm and mass in gram were recorded. All post-smolts were then frozen for subsequent analysis.