cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16621690
title: Supplementary Material for: Diabetic Retinopathy, Visual Impairment, and the Risk of Six-Year Death: A Cohort Study of a Rural Population in China

description: <b><i>Purpose:</i></b> The aim of this study was to explore the association between diabetic retinopathy (DR) and the risk of 6-year death, as well as the association between visual impairment (VI) and the risk of 6-year death in a rural Chinese population of age ≥30 years. <b><i>Methods:</i></b> This was a population-based cohort study. In 2006–2007, 6,830 subjects aged ≥30 years were recruited from 13 villages in Northern China through clustered randomization. In 2012–2013, a 6-year follow-up was further done. Six different proportional hazards models, with different confounders adjusted, were used to explore the association between baseline DR and risk of death. <b><i>Results:</i></b> 5,570 subjects were included in this study by our inclusion and exclusion criteria. Four hundred and ten (7.36%) subjects died by follow-up. The median ages of the dead subjects and survived subjects were 67 (interquartile range [IQR]: 58–72) years and 52 (IQR: 42–58) years (<i>Z</i> = 21.979, <i>p</i> &lt; 0.001). Male accounted for 62.20 and 44.92% among the dead and survived subjects (χ<sup>2</sup> = 45.591, <i>p</i> &lt; 0.001). Besides, compared with those survived, the dead were found to be with lower education (χ<sup>2</sup> = 109.981, <i>p</i> &lt; 0.001), lower marriage rate (χ<sup>2</sup> = 101.341, <i>p</i> &lt; 0.001), lower income (χ<sup>2</sup> = 123.763, <i>p</i> &lt; 0.001), higher proportion of smoking (χ<sup>2</sup> = 8.869, <i>p</i> = 0.003), higher systolic blood pressure (<i>Z</i> = 10.411, <i>p</i> &lt; 0.001), lower body mass index (<i>Z</i> = −3.302, <i>p</i> = 0.001), larger spherical equivalent error (<i>Z</i> = 4.248, <i>p</i> &lt; 0.001), lower intraocular pressure (<i>Z</i> = −4.912, <i>p</i> &lt; 0.001), smaller anterior chamber depth (<i>Z</i> = −9.186, <i>p</i> &lt; 0.001), larger length thickness (<i>Z</i> = 11.069, <i>p</i> &lt; 0.001), higher fast blood glucose level (<i>Z</i> = 5.650, <i>p</i> &lt; 0.001), higher total cholesterols (<i>Z</i> = 2.015, <i>p</i> = 0.044), higher low-density lipoprotein (<i>Z</i> = 2.024, <i>p</i> = 0.043), and higher proportion of drug usage (χ<sup>2</sup> = 56.108, <i>p</i> &lt; 0.001). Besides, the dead subjects were more likely to be with VI, glaucoma, cataract, age-related macular degeneration, diabetes, and DR. Hundred and forty-eight subjects were diagnosed with DR at baseline, and 33 (22.30%) of them were dead before follow-up. By adjusting all relative confounders in a proportional hazards model, DR was found to be a risk factor of 6-year death, the hazard ratio was 1.739 (95% confidence intervals: 1.080, 2.803). Another 5 different statistical models with different confounders adjusted also revealed a statistically significant association between DR and 6-year death. The association between VI and 6-year death was not statistically significant. <b><i>Conclusions:</i></b> DR increased the risk of 6-year death in a rural Chinese population aged ≥30 years, while VI did not.
DOI: 10.6084/m9.figshare.16621690.v1
title: Supplementary Material for: Diabetic Retinopathy, Visual Impairment, and the Risk of Six-Year Death: A Cohort Study of a Rural Population in China

description: <b><i>Purpose:</i></b> The aim of this study was to explore the association between diabetic retinopathy (DR) and the risk of 6-year death, as well as the association between visual impairment (VI) and the risk of 6-year death in a rural Chinese population of age ≥30 years. <b><i>Methods:</i></b> This was a population-based cohort study. In 2006–2007, 6,830 subjects aged ≥30 years were recruited from 13 villages in Northern China through clustered randomization. In 2012–2013, a 6-year follow-up was further done. Six different proportional hazards models, with different confounders adjusted, were used to explore the association between baseline DR and risk of death. <b><i>Results:</i></b> 5,570 subjects were included in this study by our inclusion and exclusion criteria. Four hundred and ten (7.36%) subjects died by follow-up. The median ages of the dead subjects and survived subjects were 67 (interquartile range [IQR]: 58–72) years and 52 (IQR: 42–58) years (<i>Z</i> = 21.979, <i>p</i> &lt; 0.001). Male accounted for 62.20 and 44.92% among the dead and survived subjects (χ<sup>2</sup> = 45.591, <i>p</i> &lt; 0.001). Besides, compared with those survived, the dead were found to be with lower education (χ<sup>2</sup> = 109.981, <i>p</i> &lt; 0.001), lower marriage rate (χ<sup>2</sup> = 101.341, <i>p</i> &lt; 0.001), lower income (χ<sup>2</sup> = 123.763, <i>p</i> &lt; 0.001), higher proportion of smoking (χ<sup>2</sup> = 8.869, <i>p</i> = 0.003), higher systolic blood pressure (<i>Z</i> = 10.411, <i>p</i> &lt; 0.001), lower body mass index (<i>Z</i> = −3.302, <i>p</i> = 0.001), larger spherical equivalent error (<i>Z</i> = 4.248, <i>p</i> &lt; 0.001), lower intraocular pressure (<i>Z</i> = −4.912, <i>p</i> &lt; 0.001), smaller anterior chamber depth (<i>Z</i> = −9.186, <i>p</i> &lt; 0.001), larger length thickness (<i>Z</i> = 11.069, <i>p</i> &lt; 0.001), higher fast blood glucose level (<i>Z</i> = 5.650, <i>p</i> &lt; 0.001), higher total cholesterols (<i>Z</i> = 2.015, <i>p</i> = 0.044), higher low-density lipoprotein (<i>Z</i> = 2.024, <i>p</i> = 0.043), and higher proportion of drug usage (χ<sup>2</sup> = 56.108, <i>p</i> &lt; 0.001). Besides, the dead subjects were more likely to be with VI, glaucoma, cataract, age-related macular degeneration, diabetes, and DR. Hundred and forty-eight subjects were diagnosed with DR at baseline, and 33 (22.30%) of them were dead before follow-up. By adjusting all relative confounders in a proportional hazards model, DR was found to be a risk factor of 6-year death, the hazard ratio was 1.739 (95% confidence intervals: 1.080, 2.803). Another 5 different statistical models with different confounders adjusted also revealed a statistically significant association between DR and 6-year death. The association between VI and 6-year death was not statistically significant. <b><i>Conclusions:</i></b> DR increased the risk of 6-year death in a rural Chinese population aged ≥30 years, while VI did not.
DOI: 10.15128/r25m60qr93w
title: Robust Storage Qubits in Ultracold Polar Molecules [dataset]

description: Quantum states with long-lived coherence are essential for quantum computation, simulation and metrology. The nuclear spin states of ultracold molecules prepared in the singlet rovibrational ground state are an excellent candidate for encoding and storing quantum information. However, it is important to understand all sources of decoherence for these qubits, and then eliminate them, in order to reach the longest possible coherence times. Here, we fully characterise the dominant mechanisms for decoherence of a storage qubit in an optically trapped ultracold gas of RbCs molecules using high-resolution Ramsey spectroscopy. Guided by a detailed understanding of the hyperfine structure of the molecule, we tune the magnetic field to where a pair of hyperfine states have the same magnetic moment. These states form a qubit, which is insensitive to variations in magnetic field. Our experiments reveal a subtle differential tensor light shift between the states, caused by weak mixing of rotational states. We demonstrate how this light shift can be eliminated by setting the angle between the linearly polarised trap light and the applied magnetic field to a magic angle of 55 degrees. This leads to a coherence time exceeding 5.6s at the 95% confidence level.
description: Production and optical trapping of ultracold RbCs molecules
description: Ramsey spectroscopy
DOI: 10.6084/m9.figshare.16621819
title: Supplementary Material for: The Effectiveness of Stroke Riskometer™ in Improving Stroke Risk Awareness in Malaysia: A Study Protocol of a Cluster-Randomized Controlled Trial

description: <b><i>Background:</i></b> Stroke is considered the second leading cause of mortality and disability worldwide. The increasing burden of stroke is strong evidence that currently used primary prevention strategies are not sufficiently effective. The Stroke Riskometer<sup>™</sup> application (app) represents a new stroke prevention strategy distinctly different from the conventional high-cardiovascular disease risk approach. <b><i>Objective:</i></b> This proposed study aims to evaluate the effectiveness of the Stroke Riskometer<sup>™</sup> app in improving stroke awareness and stroke risk probability amongst the adult population in Malaysia. <b><i>Methods:</i></b> A non-blinded, parallel-group cluster-randomized controlled trial with a 1:1 allocation ratio will be implemented in Kelantan, Malaysia. Two groups with a sample size of 66 in each group will be recruited. The intervention group will be equipped with the Stroke Riskometer<sup>™</sup> app and informational leaflets, while the control group will be provided with standard management, including information leaflets only. The Stroke Riskometer<sup>™</sup> app was developed according to the self-management model of chronic diseases based on self-regulation and social cognitive theories. Data collection will be conducted at baseline and on the third week, sixth week, and sixth month follow-up via telephone interview or online questionnaire survey. The primary outcome measure is stroke risk awareness, including the domains of knowledge, perception, and intention to change. The secondary outcome measure is stroke risk probability within 5 and 10 years adjusted to each participant’s socio-demographic and/or socio-economic status. An intention-to-treat approach will be used to evaluate these measures. Pearson’s χ<sup>2</sup> or independent <i>t</i> test will be used to examine differences between the intervention and control groups. The generalized estimating equation and the linear mixed-effects model will be employed to test the overall effectiveness of the intervention. <b><i>Conclusion:</i></b> This study will evaluate the effect of Stroke Riskometer<sup>™</sup> app on stroke awareness and stroke probability and briefly evaluate participant engagement to a pre-specified trial protocol. The findings from this will inform physicians and public health professionals of the benefit of mobile technology intervention and encourage more active mobile phone-based disease prevention apps. <b><i>Trial Registration:</i></b> ClinicalTrials.gov Identifier NCT04529681.
DOI: 10.6084/m9.figshare.16621819.v1
title: Supplementary Material for: The Effectiveness of Stroke Riskometer™ in Improving Stroke Risk Awareness in Malaysia: A Study Protocol of a Cluster-Randomized Controlled Trial

description: <b><i>Background:</i></b> Stroke is considered the second leading cause of mortality and disability worldwide. The increasing burden of stroke is strong evidence that currently used primary prevention strategies are not sufficiently effective. The Stroke Riskometer<sup>™</sup> application (app) represents a new stroke prevention strategy distinctly different from the conventional high-cardiovascular disease risk approach. <b><i>Objective:</i></b> This proposed study aims to evaluate the effectiveness of the Stroke Riskometer<sup>™</sup> app in improving stroke awareness and stroke risk probability amongst the adult population in Malaysia. <b><i>Methods:</i></b> A non-blinded, parallel-group cluster-randomized controlled trial with a 1:1 allocation ratio will be implemented in Kelantan, Malaysia. Two groups with a sample size of 66 in each group will be recruited. The intervention group will be equipped with the Stroke Riskometer<sup>™</sup> app and informational leaflets, while the control group will be provided with standard management, including information leaflets only. The Stroke Riskometer<sup>™</sup> app was developed according to the self-management model of chronic diseases based on self-regulation and social cognitive theories. Data collection will be conducted at baseline and on the third week, sixth week, and sixth month follow-up via telephone interview or online questionnaire survey. The primary outcome measure is stroke risk awareness, including the domains of knowledge, perception, and intention to change. The secondary outcome measure is stroke risk probability within 5 and 10 years adjusted to each participant’s socio-demographic and/or socio-economic status. An intention-to-treat approach will be used to evaluate these measures. Pearson’s χ<sup>2</sup> or independent <i>t</i> test will be used to examine differences between the intervention and control groups. The generalized estimating equation and the linear mixed-effects model will be employed to test the overall effectiveness of the intervention. <b><i>Conclusion:</i></b> This study will evaluate the effect of Stroke Riskometer<sup>™</sup> app on stroke awareness and stroke probability and briefly evaluate participant engagement to a pre-specified trial protocol. The findings from this will inform physicians and public health professionals of the benefit of mobile technology intervention and encourage more active mobile phone-based disease prevention apps. <b><i>Trial Registration:</i></b> ClinicalTrials.gov Identifier NCT04529681.
DOI: 10.34740/kaggle/dsv/2616996
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.6084/m9.figshare.16621600
title: Supplementary Material for: Burden of Renal Cysts Imaging: A Survey of Patients among the Greater Plains Collaborative

description: <b><i>Purpose:</i></b> Renal cysts are a frequent incidental finding on cross-sectional radiographic imaging. While most cysts are indolent, individuals with such cysts are frequently monitored for interval growth and potential malignant transformation, which is ultimately rare. In this study, we aimed to assess patients’ values and preferences (believes and attitudes) about renal cysts. <b><i>Methods:</i></b> We deployed a cross-sectional survey to a random sample of patients with a diagnosis of renal cysts who were identified by billing code and self-identification. We collected data about demographics, insurance status, family history and overall health, and characteristics of patients with renal cysts. We performed a binary regression analysis (adjusted for age, gender, family history of cancer and kidney disease, and treatment plan for renal cysts) to determine anxiety predictors in patients with renal cysts. <b><i>Results:</i></b> We included 301 respondents in whom billing code and self-identification corresponded; of these, 138 had renal cysts and 163 did not. In an adjusted regression analysis, there was a suggestion that a clear management plan (OR = 0.49, 95% CI [0.22–1.11]) (<i>p</i> value 0.08) may be associated with less anxiety and a family history of renal disease may be associated with more anxiety (OR = 1.94 [0.76–4.94]) (<i>p</i> value 0.17). Family history of cancer also did not significantly predict anxiety (OR = 0.54 [0.24–1.19]) (<i>p</i> value 0.13). All these results were not statistically significant and had wide confidence intervals of the effect estimates make the results imprecise. <b><i>Conclusion:</i></b> Findings of this pilot study suggest a clear management plan for the renal cyst(s) management may be associated with a lower level of anxiety, thereby by emphasizing the importance of good communication, patient engagement and evidence-based guidance. More definitive, adequately powered studies are needed to evaluate this finding further. In addition, further studies exploring differences in imaging practices, patient symptomatology and patient engagement by different provider types would be insightful. Ultimately, tools to improve shared decision-making are needed to provide more patient-centered care.
DOI: 10.6084/m9.figshare.16621600.v1
title: Supplementary Material for: Burden of Renal Cysts Imaging: A Survey of Patients among the Greater Plains Collaborative

description: <b><i>Purpose:</i></b> Renal cysts are a frequent incidental finding on cross-sectional radiographic imaging. While most cysts are indolent, individuals with such cysts are frequently monitored for interval growth and potential malignant transformation, which is ultimately rare. In this study, we aimed to assess patients’ values and preferences (believes and attitudes) about renal cysts. <b><i>Methods:</i></b> We deployed a cross-sectional survey to a random sample of patients with a diagnosis of renal cysts who were identified by billing code and self-identification. We collected data about demographics, insurance status, family history and overall health, and characteristics of patients with renal cysts. We performed a binary regression analysis (adjusted for age, gender, family history of cancer and kidney disease, and treatment plan for renal cysts) to determine anxiety predictors in patients with renal cysts. <b><i>Results:</i></b> We included 301 respondents in whom billing code and self-identification corresponded; of these, 138 had renal cysts and 163 did not. In an adjusted regression analysis, there was a suggestion that a clear management plan (OR = 0.49, 95% CI [0.22–1.11]) (<i>p</i> value 0.08) may be associated with less anxiety and a family history of renal disease may be associated with more anxiety (OR = 1.94 [0.76–4.94]) (<i>p</i> value 0.17). Family history of cancer also did not significantly predict anxiety (OR = 0.54 [0.24–1.19]) (<i>p</i> value 0.13). All these results were not statistically significant and had wide confidence intervals of the effect estimates make the results imprecise. <b><i>Conclusion:</i></b> Findings of this pilot study suggest a clear management plan for the renal cyst(s) management may be associated with a lower level of anxiety, thereby by emphasizing the importance of good communication, patient engagement and evidence-based guidance. More definitive, adequately powered studies are needed to evaluate this finding further. In addition, further studies exploring differences in imaging practices, patient symptomatology and patient engagement by different provider types would be insightful. Ultimately, tools to improve shared decision-making are needed to provide more patient-centered care.
DOI: 10.6084/m9.figshare.15163785
title: Supplementary Material for: Fatal air embolism after choroidal melanoma endoresection without air infusion: A Case Report

description: Medicine
DOI: 10.6084/m9.figshare.15163785.v1
title: Supplementary Material for: Fatal air embolism after choroidal melanoma endoresection without air infusion: A Case Report

description: Medicine
DOI: 10.3886/e120321v10-96300
title: Global Reactions to COVID-19 on Twitter: A Labelled Dataset with Latent Topic, Sentiment and Emotion Attributes

description: This project aims to present a large dataset for researchers to discover public conversation on Twitter surrounding the COVID-19 pandemic. As strong concerns and emotions are expressed in the publicly available tweets, we annotated seventeen latent semantic attributes for each public tweet using natural language processing techniques and machine-learning based algorithms. The latent semantic attributes include: 1) ten attributes indicating the tweet’s relevance to ten detected topics, 2) five quantitative attributes indicating the degree of intensity in the valence (i.e., unpleasantness/pleasantness) and emotional intensities across four primary emotions of fear, anger, sadness and joy, and 3) two qualitative attributes indicating the sentiment category and the most dominant emotion category, respectively.
description: Twitter posts.
DOI: 10.25505/fiz.icsd.cc28n3fh
title: CSD 2104696: Experimental Crystal Structure Determination

description: Related Article: Mark Baranov, Nitai Leffler|2021|ICSD Communication|||
DOI: 10.21954/ou.rd.13251584
title: READ-IT Chatbot Reading Expriences

description: The dataset (answers.jsonld) is been collected through the READ-IT chatbots in English, French, Dutch, Italian and Czech (see list on the contribute page of the READ-IT website https://readit-project.eu/contact/contribute-to-read-it/) <br>Data in JSON-LD format. The documentation about the schema used is on the READ-IT GitHub page<br>Data is also available for researchers on the READ-IT contribution portal https://read-it.in-two.com/
DOI: 10.21954/ou.rd.13251584.v3
title: READ-IT Chatbot Reading Expriences

description: The dataset (answers.jsonld) is been collected through the READ-IT chatbots in English, French, Dutch, Italian and Czech (see list on the contribute page of the READ-IT website https://readit-project.eu/contact/contribute-to-read-it/) <br>Data in JSON-LD format. The documentation about the schema used is on the READ-IT GitHub page<br>Data is also available for researchers on the READ-IT contribution portal https://read-it.in-two.com/
DOI: 10.21954/ou.rd.13251584.v2
title: READ-IT Chatbot Reading Expriences

description: Dataset collected through the READ-IT chatbots in English, French, Dutch, Italian and Czech (see list on the contribute page of the READ-IT website https://readit-project.eu/contact/contribute-to-read-it/) <br>Data in JSON-LD format. The documentation about the schema used is on the READ-IT GitHub page<br>Data is also available for researchers on the READ-IT contribution portal https://read-it.in-two.com/
DOI: 10.6084/m9.figshare.16621863
title: ESM.zip from A biophysical approach to assess weather impacts on honeybee colony winter mortality

description: The Western honeybee (<i>Apis mellifera</i>) is one of the most important insects kept by humans, but high colony losses are reported around the world. While the effects of general climatic conditions on colony winter mortality were already demonstrated, no study has investigated specific weather conditions linked to biophysical processes governing colony vitality. Here, we quantify the comparative relevance of four such processes that co-determine the colonies' fitness for wintering during the annual hive management cycle, using a 10-year dataset of winter colony mortality in Austria that includes 266 378 bee colonies. We formulate four process-based hypotheses for wintering success and operationalize them with weather indicators. The empirical data is used to fit simple and multiple linear regression models on different geographical scales. The results show that approximately 20% of winter mortality variability can be explained by the analysed weather conditions, and that it is most sensitive to the duration of extreme cold spells in mid and late winter. Our approach shows the potential of developing weather indicators based on biophysical processes and discusses the way forward for applying them in climate change studies.
DOI: 10.6084/m9.figshare.16621863.v1
title: ESM.zip from A biophysical approach to assess weather impacts on honeybee colony winter mortality

description: The Western honeybee (<i>Apis mellifera</i>) is one of the most important insects kept by humans, but high colony losses are reported around the world. While the effects of general climatic conditions on colony winter mortality were already demonstrated, no study has investigated specific weather conditions linked to biophysical processes governing colony vitality. Here, we quantify the comparative relevance of four such processes that co-determine the colonies' fitness for wintering during the annual hive management cycle, using a 10-year dataset of winter colony mortality in Austria that includes 266 378 bee colonies. We formulate four process-based hypotheses for wintering success and operationalize them with weather indicators. The empirical data is used to fit simple and multiple linear regression models on different geographical scales. The results show that approximately 20% of winter mortality variability can be explained by the analysed weather conditions, and that it is most sensitive to the duration of extreme cold spells in mid and late winter. Our approach shows the potential of developing weather indicators based on biophysical processes and discusses the way forward for applying them in climate change studies.