cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17028/rd.lboro.8918813.v1
title: Supplementary Information Files for "Microencapsulation of Salmonella-Specific Bacteriophage Felix O1 Using Spray-Drying in a pH-Responsive Formulation and Direct Compression Tableting of Powders into a Solid Oral Dosage Form"

description: Supplementary Information Files for "Microencapsulation of Salmonella-Specific Bacteriophage Felix O1 Using Spray-Drying in a pH-Responsive Formulation and Direct Compression Tableting of Powders into a Solid Oral Dosage Form"<br>Abstract:The treatment of enteric bacterial infections using oral bacteriophage therapy can be challenging since the harsh acidic stomach environment renders phages inactive during transit through the gastrointestinal tract. Solid oral dosage forms allowing site-specific gastrointestinal delivery of high doses of phages, e.g., using a pH or enzymatic trigger, would be a game changer for the nascent industry trying to demonstrate the efficacy of phages, including engineered phages for gut microbiome modulation in expensive clinical trials. Spray-drying is a scalable, low-cost process for producing pharmaceutical agents in dry powder form. Encapsulation of a model Salmonella-specific phage (Myoviridae phage Felix O1) was carried out using the process of spray-drying, employing a commercially available Eudragit S100<sup>®</sup> pH-responsive anionic copolymer composed of methyl methacrylate-co-methacrylic acid formulated with trehalose. Formulation and processing conditions were optimised to improve the survival of phages during spray-drying, and their subsequent protection upon exposure to simulated gastric acidity was demonstrated. Addition of trehalose to the formulation was shown to protect phages from elevated temperatures and desiccation encountered during spray-drying. Direct compression of spray-dried encapsulated phages into tablets was shown to significantly improve phage protection upon exposure to simulated gastric fluid. The results reported here demonstrate the significant potential of spray-dried pH-responsive formulations for oral delivery of bacteriophages targeting gastrointestinal applications.<br>
DOI: 10.6084/m9.figshare.8920577.v2
title: supplementary table 2-Identification of phages in Abr MTCC strains

description: Identification of phages in <i>Azospirillum brasilense</i>
DOI: 10.17028/rd.lboro.8912705
title: Supplementary Information Files for "Use of Artificial Intelligence to Improve Resilience and Preparedness Against Adverse Flood Events"

description: Supplementary Information Files for "Use of Artificial Intelligence to Improve Resilience and Preparedness Against Adverse Flood Events"<br>Abstract:The main focus of this paper is the novel use of Artificial Intelligence (AI) in natural disaster, more specifically flooding, to improve flood resilience and preparedness. Different types of flood have varying consequences and are followed by a specific pattern. For example, a flash flood can be a result of snow or ice melt and can occur in specific geographic places and certain season. The motivation behind this research has been raised from the Building Resilience into Risk Management (BRIM) project, looking at resilience in water systems. This research uses the application of the state-of-the-art techniques i.e., AI, more specifically Machin Learning (ML) approaches on big data, collected from previous flood events to learn from the past to extract patterns and information and understand flood behaviours in order to improve resilience, prevent damage, and save lives. In this paper, various ML models have been developed and evaluated for classifying floods, i.e., flash flood, lakeshore flood, etc. using current information i.e., weather forecast in different locations. The analytical results show that the Random Forest technique provides the highest accuracy of classification, followed by J48 decision tree and Lazy methods. The classification results can lead to better decision-making on what measures can be taken for prevention and preparedness and thus improve flood resilience<br>
DOI: 10.6084/m9.figshare.8920577.v1
title: Identification of phages in supplementary tables

description: Identification of phages in <i>Azospirillum brasilense</i> phages
DOI: 10.6084/m9.figshare.8907338
title: cea

description: cost data for inpatient integrative oncology treatment of stage IV pancreatic cancer patients<br>
DOI: 10.6084/m9.figshare.8910806
title: Raw data of leaf structure of tree aging

description: This is the raw data of tree aging research.
DOI: 10.6084/m9.figshare.8910806.v1
title: Raw data of leaf structure of tree aging

description: This is the raw data of tree aging research.
DOI: 10.6084/m9.figshare.8903939
title: grid.5170.3

description: Network Graphs for institution grid.5170.3 created for "What Does a University Look Like?" poster
DOI: 10.6084/m9.figshare.8903939.v1
title: grid.5170.3

description: Network Graphs for institution grid.5170.3 created for "What Does a University Look Like?" poster
DOI: 10.6084/m9.figshare.8898923
title: Data for testing E_FILM model

description: The laboratory and field data, as well as the E_FILM model code used for soil evaporation estimation
DOI: 10.6084/m9.figshare.8898923.v1
title: Data for testing E_FILM model

description: The laboratory and field data, as well as the E_FILM model code used for soil evaporation estimation
DOI: 10.6084/m9.figshare.8893745
title: Supplementary Material for: Risk of Ovarian Malignancy Algorithm versus Risk Malignancy Index-I for Preoperative Assessment of Adnexal Masses: A Systematic Review and Meta-Analysis

description: <b><i>Purpose:</i></b> To perform a systematic review and meta-analysis of studies comparing the diagnostic accuracy of Risk of Ovarian Malignancy Algorithm (ROMA) and risk of malignancy index (RMI) for detecting ovarian cancer. <b><i>Methods:</i></b> A systematic review and meta-analysis was performed according to PRISMA statement. A search for studies evaluating the diagnostic performance of ROMA and RMI-I indices for detecting ovarian malignancy from January 2010 to October 2018 was performed in the PubMed/MEDLINE and Web of Science databases. The quality of the studies was evaluated by the Quality Assessment of Diagnostic Accuracy Studies 2. <b><i>Results:</i></b> Sixty-six citations were identified. After exclusions, 8 papers comprising 2,662 women (1,319 premenopausal and 1,343 postmenopausal) were ultimately included. The mean prevalence of ovarian malignancy was 29.0% in premenopausal women and 51.0% in postmenopausal women. High risk of bias for patient selection was observed for most studies. ROMA and RMI-I had a similar diagnostic performance in postmenopausal women (pooled sensitivity [87 vs. 77%] and specificity [75 vs. 85%], respectively. <i>p</i> = 0.29). In premenopausal women, RMI-I showed better specificity than ROMA (89 vs. 78%, <i>p</i> = 0.022) with similar sensitivity (73 vs. 80%, <i>p</i>= 0.27). Significant heterogeneity was found for sensitivity and specificity in comparisons of both groups. <b><i>Conclusions:</i></b> ROMA and RMI-I have similar diagnostic performance for detecting ovarian cancer in women presenting with an adnexal mass. However, RMI-I showed a higher specificity than ROMA in premenopausal women. Notwithstanding, as the risk of bias is high in most studies, our results should be interpreted with caution.
DOI: 10.6084/m9.figshare.8896487
title: VTKEL* dataset

description: This dataset consist of 300 randomly sampled documents from the VTKEL dataset (corresponding to 4585 textual mentions, and 2374 visual mentions). Every entry of VTKEL* has been manually checked for the correctness and completenessof the YAGO classes associated to the mentioned entities.Wrong and missing links are manually adjusted. Errors are mainly due to the incorrect word sense disambiguation.
DOI: 10.6084/m9.figshare.8893745.v1
title: Supplementary Material for: Risk of Ovarian Malignancy Algorithm versus Risk Malignancy Index-I for Preoperative Assessment of Adnexal Masses: A Systematic Review and Meta-Analysis

description: <b><i>Purpose:</i></b> To perform a systematic review and meta-analysis of studies comparing the diagnostic accuracy of Risk of Ovarian Malignancy Algorithm (ROMA) and risk of malignancy index (RMI) for detecting ovarian cancer. <b><i>Methods:</i></b> A systematic review and meta-analysis was performed according to PRISMA statement. A search for studies evaluating the diagnostic performance of ROMA and RMI-I indices for detecting ovarian malignancy from January 2010 to October 2018 was performed in the PubMed/MEDLINE and Web of Science databases. The quality of the studies was evaluated by the Quality Assessment of Diagnostic Accuracy Studies 2. <b><i>Results:</i></b> Sixty-six citations were identified. After exclusions, 8 papers comprising 2,662 women (1,319 premenopausal and 1,343 postmenopausal) were ultimately included. The mean prevalence of ovarian malignancy was 29.0% in premenopausal women and 51.0% in postmenopausal women. High risk of bias for patient selection was observed for most studies. ROMA and RMI-I had a similar diagnostic performance in postmenopausal women (pooled sensitivity [87 vs. 77%] and specificity [75 vs. 85%], respectively. <i>p</i> = 0.29). In premenopausal women, RMI-I showed better specificity than ROMA (89 vs. 78%, <i>p</i> = 0.022) with similar sensitivity (73 vs. 80%, <i>p</i>= 0.27). Significant heterogeneity was found for sensitivity and specificity in comparisons of both groups. <b><i>Conclusions:</i></b> ROMA and RMI-I have similar diagnostic performance for detecting ovarian cancer in women presenting with an adnexal mass. However, RMI-I showed a higher specificity than ROMA in premenopausal women. Notwithstanding, as the risk of bias is high in most studies, our results should be interpreted with caution.
DOI: 10.6084/m9.figshare.8892386
title: Supplementary Material for: Hospitalization Risk among Older Adults with Chronic Kidney Disease

description: <b><i>Introduction:</i></b> Chronic kidney disease (CKD) risk staging is based on estimated glomerular filtration rate (eGFR) and albumin-creatinine ratio (ACR). However, the relationship between all-cause hospitalization risk and the current CKD staging system has not been well studied among older adults, despite a high prevalence of CKD and a high risk of hospitalization in old age. <b><i>Methods:</i></b> Among 4,766 participants of the Atherosclerosis Risk in Communities study, CKD was staged according to Kidney Disease Improving Global Outcomes (KDIGO) criteria, using creatinine-based eGFR (eGFRcr) and ACR. Incidence rates of all-cause hospitalization associated with each CKD risk group were analyzed using negative binomial regression. Additionally, cause-specific hospitalization risks for cardiovascular, infectious, kidney, and other diseases were estimated. The impacts of using cystatin C-based eGFR (eGFRcys) to estimate the prevalence of CKD and risks of hospitalization were also quantified. <b><i>Results:</i></b> Participants experienced 5,548 hospitalizations and 29% had CKD. Hospitalization rates per 1,000 person-years according to KDIGO risk categories were 208–223 (“low risk”), 288–376 (“moderately increased risk”), 363–548 (“high risk”), and 499–1083 (“very high risk”). The increased risk associated with low eGFR and high ACR persisted in adjusted analyses, examinations of cause-specific hospitalizations, and when CKD was staged by eGFRcys or eGFRcr-cys, a combined equation based on both creatinine and cystatin C. In comparison to eGFRcr, staging by eGFRcys increased the prevalence of CKD to 50%, but hospitalization risks remained similarly high. <b><i>Discussion/Conclusion:</i></b> In older adults, decreased eGFR, increased ACR, and KDIGO risk stages based on a combination of these measures, were strong risk factors for hospitalization. These relationships were consistent, regardless of the marker used to estimate GFR, but the use of cystatin C resulted in a substantially higher prevalence of CKD than the use of creatinine. Older adults in the population with very high risk stages of CKD have hospitalization rates exceeding 500 per 1,000 person-years.
DOI: 10.6084/m9.figshare.8890436
title: Supplementary Material for: The Impact of Pre- and Post-Stroke Statin Use on Stroke Severity and Long-Term Outcomes: A Population-Based Cohort Study

description: <b><i>Background:</i></b> The benefit of statins on stroke incidence is well known. However, data on the relationship between pre- and post-stroke statin use, recurrence, and survival outcomes are limited. We aim to investigate the short- and long-term relationships between statin prescription, stroke recurrence, and survival in patients with first-ever ischemic stroke. <b><i>Methods:</i></b> Data were collected from the population-based South London Stroke Register for the years 1995–2015. Patients were assessed at the time of first ever stroke, 3 months, and annually thereafter. Data on vascular risk factors, treatments prescribed, sociodemographic characteristics, stroke subtype, survival, and stroke recurrence were collected. Cox proportional hazard analyses were used to assess the relationship of statin prescriptions pre- and post-stroke on stroke severity, long-term recurrence and survival. <b><i>Results:</i></b> Patients prescribed statins both pre- and post-stroke showed a 24% reduction in mortality (adjusted Hazard Ratio [aHR] 0.76, 0.60–0.97), those who were prescribed statins pre-stroke and then stopped post-stroke showed greater risk of mortality (aHR 1.85, 1.10–3.12) and stroke recurrence (aHR 3.25, 1.35–7.84) compared to those that were not prescribed statins at any time. No associations were observed between pre-stroke statin and severity of the initial stroke overall, though a protective effect against moderate/severe stroke (Glasgow Coma Scale ≤12) was observed in those aged 75+ years (aOR 0.70, 0.52–0.95). <b><i>Conclusions:</i></b> Statins play a significant role in improving the survival rates after a stroke. Adherence to the National Guidelines that promote statin treatment, primary and secondary prevention of stroke should be monitored and a focus for quality improvement programs.
DOI: 10.6084/m9.figshare.8892386.v1
title: Supplementary Material for: Hospitalization Risk among Older Adults with Chronic Kidney Disease

description: <b><i>Introduction:</i></b> Chronic kidney disease (CKD) risk staging is based on estimated glomerular filtration rate (eGFR) and albumin-creatinine ratio (ACR). However, the relationship between all-cause hospitalization risk and the current CKD staging system has not been well studied among older adults, despite a high prevalence of CKD and a high risk of hospitalization in old age. <b><i>Methods:</i></b> Among 4,766 participants of the Atherosclerosis Risk in Communities study, CKD was staged according to Kidney Disease Improving Global Outcomes (KDIGO) criteria, using creatinine-based eGFR (eGFRcr) and ACR. Incidence rates of all-cause hospitalization associated with each CKD risk group were analyzed using negative binomial regression. Additionally, cause-specific hospitalization risks for cardiovascular, infectious, kidney, and other diseases were estimated. The impacts of using cystatin C-based eGFR (eGFRcys) to estimate the prevalence of CKD and risks of hospitalization were also quantified. <b><i>Results:</i></b> Participants experienced 5,548 hospitalizations and 29% had CKD. Hospitalization rates per 1,000 person-years according to KDIGO risk categories were 208–223 (“low risk”), 288–376 (“moderately increased risk”), 363–548 (“high risk”), and 499–1083 (“very high risk”). The increased risk associated with low eGFR and high ACR persisted in adjusted analyses, examinations of cause-specific hospitalizations, and when CKD was staged by eGFRcys or eGFRcr-cys, a combined equation based on both creatinine and cystatin C. In comparison to eGFRcr, staging by eGFRcys increased the prevalence of CKD to 50%, but hospitalization risks remained similarly high. <b><i>Discussion/Conclusion:</i></b> In older adults, decreased eGFR, increased ACR, and KDIGO risk stages based on a combination of these measures, were strong risk factors for hospitalization. These relationships were consistent, regardless of the marker used to estimate GFR, but the use of cystatin C resulted in a substantially higher prevalence of CKD than the use of creatinine. Older adults in the population with very high risk stages of CKD have hospitalization rates exceeding 500 per 1,000 person-years.
DOI: 10.6084/m9.figshare.8896487.v1
title: VTKEL* dataset

description: This dataset consist of 300 randomly sampled documents from the VTKEL dataset (corresponding to 4585 textual mentions, and 2374 visual mentions). Every entry of VTKEL* has been manually checked for the correctness and completenessof the YAGO classes associated to the mentioned entities.Wrong and missing links are manually adjusted. Errors are mainly due to the incorrect word sense disambiguation.
DOI: 10.6084/m9.figshare.8889854
title: Data from laboratory experiments

description: The laboratory experiment data used for tesing the E_FILM model which is developed by Wang et ql. 2019
DOI: 10.6084/m9.figshare.8896487.v2
title: VTKEL* dataset

description: This dataset consist of 300 randomly sampled documents from the VTKEL dataset (corresponding to 4585 textual mentions, and 2374 visual mentions). Every entry of VTKEL* has been manually checked for the correctness and completenessof the YAGO classes associated to the mentioned entities.Wrong and missing links are manually adjusted. Errors are mainly due to the incorrect word sense disambiguation.
DOI: 10.6084/m9.figshare.8889854.v1
title: Data from laboratory experiments

description: The laboratory experiment data used for tesing the E_FILM model which is developed by Wang et ql. 2019
DOI: 10.6084/m9.figshare.8889839
title: Readme.txt

description: Data explanation text
DOI: 10.6084/m9.figshare.8889839.v1
title: Readme.txt

description: Data explanation text
DOI: 10.17028/rd.lboro.8884388
title: Supplementary Files for "Key Factors Influencing Wider Adoption of Blue–Green Infrastructure in Developing Cities"

description: Supplementary Files for "Key Factors Influencing Wider Adoption of Blue–Green Infrastructure in Developing Cities"<br>Abstract:Numerous fast-growing coastal cities in the Global South are exposed to coastal, fluvial and pluvial floods, as a consequence of decades-long rapid urbanisation and weak enforcement of planning regulations. Integrating Blue–Green Infrastructure (BGI) concepts into the development of the urban landscape has the potential to increase flood resilience and offer broader environmental benefits. BGI is an innovative approach that combines water management and green infrastructure to maintain natural water cycles and enhance environmental and urban renewal. This paper identifies socio-economic, cultural and political challenges influencing BGI adoption in Semarang city in Indonesia. Data was collected from residents of three communities through interviews (n=30), questionnaires (n=180) and focus groups with policymakers and community representatives. The combined quantitative and qualitative data provide an understanding of the specific socio-economic, cultural and political issues at play and reveal flood experience as well as perceptions of community members regarding flood management. Challenges are presented from the point of view of residents and local policymakers and are based on a framework for facilitating local BGI adoption, setting the principles of “inclusive”, “appropriate” and “proactive” as pre-conditions for enhancing community resilience to flooding.<br>
DOI: 10.17028/rd.lboro.8884388.v1
title: Supplementary Files for "Key Factors Influencing Wider Adoption of Blue–Green Infrastructure in Developing Cities"

description: Supplementary Files for "Key Factors Influencing Wider Adoption of Blue–Green Infrastructure in Developing Cities"<br>Abstract:Numerous fast-growing coastal cities in the Global South are exposed to coastal, fluvial and pluvial floods, as a consequence of decades-long rapid urbanisation and weak enforcement of planning regulations. Integrating Blue–Green Infrastructure (BGI) concepts into the development of the urban landscape has the potential to increase flood resilience and offer broader environmental benefits. BGI is an innovative approach that combines water management and green infrastructure to maintain natural water cycles and enhance environmental and urban renewal. This paper identifies socio-economic, cultural and political challenges influencing BGI adoption in Semarang city in Indonesia. Data was collected from residents of three communities through interviews (n=30), questionnaires (n=180) and focus groups with policymakers and community representatives. The combined quantitative and qualitative data provide an understanding of the specific socio-economic, cultural and political issues at play and reveal flood experience as well as perceptions of community members regarding flood management. Challenges are presented from the point of view of residents and local policymakers and are based on a framework for facilitating local BGI adoption, setting the principles of “inclusive”, “appropriate” and “proactive” as pre-conditions for enhancing community resilience to flooding.<br>
DOI: 10.6084/m9.figshare.8882567.v1
title: Rh.720.360.1980.2016.nc

description: This is a global RH product with 0.5 degree based on the observations and global enviormental variables predicted by Random Forest.
DOI: 10.6084/m9.figshare.8882567.v2
title: Spatial- and temporal-patterns of global soil heterotrophic respiration in terrestrial ecosystems

description: This is a global RH product with 0.5 degree based on the observations and global enviormental variables predicted by Random Forest.
DOI: 10.6084/m9.figshare.8875790
title: Supplementary Material for: Expression of Dopamine Receptors in Immune Regulatory Cells

description: <b><i>Objective:</i></b> Parkinson’s disease (PD) patients are usually treated with L-dopa and/or dopaminergic agonists, which act by binding five types of dopaminergic receptors (DRD1–DRD5). Peripheral immune cells are known to express dopamine receptors on their membrane surface, and therefore they could be directly affected by the treatment. Regulatory cells are the main modulators of inflammation, but it is not clear whether dopaminergic treatment could affect their functions. While only regulatory T cells (Tregs) have been proved to express dopamine receptors, it is not known whether other regulatory cells such as CD8regs, regulatory B cells (Bregs), tolerogenic dendritic cells, and intermediate monocytes also express them. <b><i>Methods:</i></b> The expression of dopamine receptors in Tregs, CD8regs, Bregs, tolerogenic dendritic cells, and intermediate monocytes was herein evaluated. cDNA from 11 PD patients and 9 control subjects was obtained and analyzed. <b><i>Results:</i></b> All regulatory cell populations expressed the genes coding for dopamine receptors, and this expression was further corroborated by flow cytometry. These findings may allow us to propose regulatory populations as possible targets for PD treatment. <b><i>Conclusions:</i></b> This study opens new paths to deepen our understanding on the effect of PD treatment on the cells of the regulatory immune response.