cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14873681.v1
title: Integrated and intelligently controlled unit for suspension freeze concentration: design and experimental verification

description: Suspension freeze concentration (SFC) can avoid denaturation while concentrating thermal-sensitive aqueous solutions. However, the complex treatment process and high capital cost severely limit its application in large-scale production. In this paper, a compact and integrated unit is devised to overcome these shortcomings and improve the operability of SFC. The unit is in a vertical layout and supports multistage treatment to successively condense the solution. Several innovative designs are made for the key components, including the helical blades in the scraped surface heat exchanger and a dual-use column for recrystallization and washing. The former helps to establish the circulation of solution and impose forces to compress the ice column, while the latter enables seamless switch between different processes. As the whole process of SFC is well known to be time-consuming and labor-intensive, an intelligent controlling system is installed on the unit to realize on-site and/or remote monitoring and adjustment of the treatment. A concentration experiment using apple juice was conducted to verify the design and demonstrate the advantages. The results show that high-quality solutions were obtained with this unit. The recovery yields of the soluble solids and nutrients components are over 98.5% and 80.0%, respectively. Based on the work principles of the freezing and washing process in this design, the mechanism behind the superior recovery yields is analyzed. This study opens up a potential route for scaling up SFC and is expected to stimulate further work to achieve industrial application.
DOI: 10.6084/m9.figshare.14873681
title: Integrated and intelligently controlled unit for suspension freeze concentration: design and experimental verification

description: Suspension freeze concentration (SFC) can avoid denaturation while concentrating thermal-sensitive aqueous solutions. However, the complex treatment process and high capital cost severely limit its application in large-scale production. In this paper, a compact and integrated unit is devised to overcome these shortcomings and improve the operability of SFC. The unit is in a vertical layout and supports multistage treatment to successively condense the solution. Several innovative designs are made for the key components, including the helical blades in the scraped surface heat exchanger and a dual-use column for recrystallization and washing. The former helps to establish the circulation of solution and impose forces to compress the ice column, while the latter enables seamless switch between different processes. As the whole process of SFC is well known to be time-consuming and labor-intensive, an intelligent controlling system is installed on the unit to realize on-site and/or remote monitoring and adjustment of the treatment. A concentration experiment using apple juice was conducted to verify the design and demonstrate the advantages. The results show that high-quality solutions were obtained with this unit. The recovery yields of the soluble solids and nutrients components are over 98.5% and 80.0%, respectively. Based on the work principles of the freezing and washing process in this design, the mechanism behind the superior recovery yields is analyzed. This study opens up a potential route for scaling up SFC and is expected to stimulate further work to achieve industrial application.
DOI: 10.34740/kaggle/dsv/2990325
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.5281/zenodo.5811832
title: Code and Data Availability

description: To help the public easily understand my research work, I update the code of Spatially Explicit Individual Based-Dynamic Global Vegetation Model (SEIB-DGVM) Version 3.02, the resonstructed CO2 dataset from 1901 to 2015, MOD17A3, and MCD12C1 data. These data are the final files used in my work.
DOI: 10.5281/zenodo.5811831
title: Code and Data Availability

description: To help the public easily understand my research work, I update the code of Spatially Explicit Individual Based-Dynamic Global Vegetation Model (SEIB-DGVM) Version 3.02, the resonstructed CO2 dataset from 1901 to 2015, MOD17A3, and MCD12C1 data. These data are the final files used in my work.
DOI: 10.6084/m9.figshare.17708134
title: Effectiveness of ezetimibe in human immunodeficiency virus patients treated for hyperlipidaemia: a systematic review and meta-analysis

description: Systematic review and meta-analysis of lipid outcomes for human immunodeficiency virus (HIV)-positive or HIV-infected patients treated with ezetimibe. We conducted a literature search from 1946 to 2021 for trials studying the effectiveness of ezetimibe in hyperlipidaemic HIV patients. We included trials of all designs in which HIV patients on highly active antiretroviral therapy (HAART)/non-nucleoside reverse transcriptase inhibitor (NNRTI) therapy had hyperlipidaemia, were treated with ezetimibe, and reported lipid outcomes. Of thirteen eligible trials, five were randomized controlled trials (RCTs) and eight were single-arm trials. Two of the eligible RCTs were placebo-controlled; we performed a meta-analysis across those two trials for low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglyceride (TG). LDL-C was significantly lower in the ezetimibe arm (net change: −23.56 mg/dL, 95% CI: −40.22, −6.90 mg/dL). We then performed meta-analysis of the single-arm trials examining lipid outcomes after ezetimibe treatment which, like in the RCTs, revealed significant reductions of LDL-C (–23.89 mg/dL, 95% CI −29.94 to −17.83 mg/dL). In addition, significant reductions were seen for total cholesterol (TC) (–26.17 mg/dL, 95% CI −32.81 to −19.54 mg/dL) and TG (–18.57 mg/dL, 95% CI −34.01 to −3.14 mg/dL) but HDL-C did not show a change. Evidence for LDL-C reduction is limited in RCTs; single-arm trial LDL-C reductions are consistent with the RCTs. In addition, significant reductions in TC and TG were also seen in the meta-analysis of the single arm trials. The single-arm trials’ meta-analysis corroborates evidence from RCTs to suggest that ezetimibe can be an option for hyperlipidaemia among HIV patients with mildly elevated TC and LDL-C levels, especially in cases where statins are contra-indicated due to drug–drug interactions with concomitant anti-retroviral therapy.
DOI: 10.6084/m9.figshare.17708134.v1
title: Effectiveness of ezetimibe in human immunodeficiency virus patients treated for hyperlipidaemia: a systematic review and meta-analysis

description: Systematic review and meta-analysis of lipid outcomes for human immunodeficiency virus (HIV)-positive or HIV-infected patients treated with ezetimibe. We conducted a literature search from 1946 to 2021 for trials studying the effectiveness of ezetimibe in hyperlipidaemic HIV patients. We included trials of all designs in which HIV patients on highly active antiretroviral therapy (HAART)/non-nucleoside reverse transcriptase inhibitor (NNRTI) therapy had hyperlipidaemia, were treated with ezetimibe, and reported lipid outcomes. Of thirteen eligible trials, five were randomized controlled trials (RCTs) and eight were single-arm trials. Two of the eligible RCTs were placebo-controlled; we performed a meta-analysis across those two trials for low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglyceride (TG). LDL-C was significantly lower in the ezetimibe arm (net change: −23.56 mg/dL, 95% CI: −40.22, −6.90 mg/dL). We then performed meta-analysis of the single-arm trials examining lipid outcomes after ezetimibe treatment which, like in the RCTs, revealed significant reductions of LDL-C (–23.89 mg/dL, 95% CI −29.94 to −17.83 mg/dL). In addition, significant reductions were seen for total cholesterol (TC) (–26.17 mg/dL, 95% CI −32.81 to −19.54 mg/dL) and TG (–18.57 mg/dL, 95% CI −34.01 to −3.14 mg/dL) but HDL-C did not show a change. Evidence for LDL-C reduction is limited in RCTs; single-arm trial LDL-C reductions are consistent with the RCTs. In addition, significant reductions in TC and TG were also seen in the meta-analysis of the single arm trials. The single-arm trials’ meta-analysis corroborates evidence from RCTs to suggest that ezetimibe can be an option for hyperlipidaemia among HIV patients with mildly elevated TC and LDL-C levels, especially in cases where statins are contra-indicated due to drug–drug interactions with concomitant anti-retroviral therapy.
DOI: 10.6084/m9.figshare.16699096
title: All-cause gastroenteritis hospitalisations of children decreased after the introduction of rotavirus vaccine in Stockholm

description: In Stockholm, Sweden, rotavirus vaccination was offered to children born after 1 March 2014. Our aim was to describe rates of hospitalisation due to community-acquired gastroenteritis before and after the introduction of the vaccine, and aetiology, underlying medical conditions and complications in admitted children. We retrospectively included patients from our catchment area hospitalised with a diagnosis of gastroenteritis during ten infection seasons 2008/2009–2017/2018, whereof six seasons prevaccination and four seasons postvaccination. We studied virus detection data and the patients’ medical records. We included 3718 episodes in 3513 children. In 2967 (80%), stools were tested with virus isolation, ELISA, PCR, or bacterial culture; 479 (16%) tested negative. The incidence rates, with 95% confidence intervals, for children &lt;5 years hospitalised for rotavirus gastroenteritis were 2.9 (2.8–3.1) per 1000 person-years prevaccination and 0.65 (0.56–0.74) postvaccination, for a rate ratio (RR) of 0.22 (0.19–0.26, <i>p</i> p p p Rotavirus vaccination reduced the number of children &lt;5 years requiring hospital care for gastroenteritis. We saw no replacement of rotavirus by other viruses.
DOI: 10.6084/m9.figshare.16752313.v1
title: Mortality in hospitalized COVID-19 patients was associated with the COVID-19 admission rate during the first year of the pandemic in Sweden

description: Studies from the first pandemic wave found associations between COVID-19 hospital load and mortality. Here, we aimed to study if mortality of hospitalized COVID-19 patients was associated with the COVID-19 admission rate during a full year of the pandemic in Sweden. Observational review of all patients admitted to hospital with COVID-19 in Sweden between March 2020 and February 2021 (<i>n</i> = 42,017). Primary outcome was 60-day all-cause mortality related to number of COVID-19 hospital admissions per month/100,000 inhabitants. Poisson regression was used to estimate the relative risk for death by month of admission, adjusting for pre-existing factors. The overall mortality was 17.4%. Excluding March 2020, mortality was clearly correlated to the number of COVID-19 admissions per month (coefficient of correlation ρ=.96; <i>p</i>p=.02). Patients admitted in December (high admission rate and high mortality) had more comorbidities and longer hospital stays, and patients treated in intensive care units (ICU) had longer pre-ICU hospital stays and worse respiratory status on ICU admission than those admitted in July to September (low admission rate and low mortality). Mortality in hospitalized COVID-19 patients was clearly associated with the COVID-19 admission rate. Admission of healthier patients between pandemic waves and delayed ICU care during wave peaks could contribute to this pattern. The study supports measures to flatten-the-curve to reduce the number of COVID-19 patients admitted to hospital.
DOI: 10.6084/m9.figshare.16627196
title: Lower antibiotic prescription rates in hospitalized COVID-19 patients than influenza patients, a prospective study

description: COVID-19 patients are extensively treated with antibiotics despite few bacterial complications. We aimed to study antibiotic use in hospitalized COVID-19 patients compared to influenza patients in two consecutive years. Furthermore, we investigated changes in antibiotic use from the first to second pandemic wave. This prospective study included both patients from two referral hospitals in Bergen, Norway, admitted with influenza (<i>n</i> = 215) during the 2018/2019 epidemic and with COVID-19 (<i>n</i> = 82) during spring/summer 2020, and national data on registered Norwegian COVID-19 hospital admissions from March 2020 to January 2021 (<i>n</i> = 2300). Patient characteristics were compared, and logistic regression analysis was used to identify risk factors for antibiotic use. National and local COVID-19 patients received significantly less antibiotics (53% and 49%) than influenza patients (69%, <i>p</i> 90% of antibiotic prescriptions in the two local hospitals, and &gt;70% of prescriptions nationally. When adjusted for age, comorbidities, symptom duration, chest X-ray infiltrates and oxygen treatment, local COVID-19 patients still had significantly lower odds of antibiotic prescription than influenza patients (aOR 0.21, 95%CI 0.09–0.50). At the national level, we observed a significant reduction in antibiotic prescription rates in the second pandemic wave compared to the first (aOR 0.35, 95% CI 0.29–0.43). Fewer COVID-19 patients received antibiotics compared to influenza patients admitted to the two local hospitals one year earlier. The antibiotic prescription rate was lower during the second pandemic wave, possibly due to increased clinical experience and published evidence refuting the efficacy of antibiotics in treating COVID-19 pneumonia.
DOI: 10.6084/m9.figshare.16699096.v1
title: All-cause gastroenteritis hospitalisations of children decreased after the introduction of rotavirus vaccine in Stockholm

description: In Stockholm, Sweden, rotavirus vaccination was offered to children born after 1 March 2014. Our aim was to describe rates of hospitalisation due to community-acquired gastroenteritis before and after the introduction of the vaccine, and aetiology, underlying medical conditions and complications in admitted children. We retrospectively included patients from our catchment area hospitalised with a diagnosis of gastroenteritis during ten infection seasons 2008/2009–2017/2018, whereof six seasons prevaccination and four seasons postvaccination. We studied virus detection data and the patients’ medical records. We included 3718 episodes in 3513 children. In 2967 (80%), stools were tested with virus isolation, ELISA, PCR, or bacterial culture; 479 (16%) tested negative. The incidence rates, with 95% confidence intervals, for children &lt;5 years hospitalised for rotavirus gastroenteritis were 2.9 (2.8–3.1) per 1000 person-years prevaccination and 0.65 (0.56–0.74) postvaccination, for a rate ratio (RR) of 0.22 (0.19–0.26, <i>p</i> p p p Rotavirus vaccination reduced the number of children &lt;5 years requiring hospital care for gastroenteritis. We saw no replacement of rotavirus by other viruses.
DOI: 10.6084/m9.figshare.16752313
title: Mortality in hospitalized COVID-19 patients was associated with the COVID-19 admission rate during the first year of the pandemic in Sweden

description: Studies from the first pandemic wave found associations between COVID-19 hospital load and mortality. Here, we aimed to study if mortality of hospitalized COVID-19 patients was associated with the COVID-19 admission rate during a full year of the pandemic in Sweden. Observational review of all patients admitted to hospital with COVID-19 in Sweden between March 2020 and February 2021 (<i>n</i> = 42,017). Primary outcome was 60-day all-cause mortality related to number of COVID-19 hospital admissions per month/100,000 inhabitants. Poisson regression was used to estimate the relative risk for death by month of admission, adjusting for pre-existing factors. The overall mortality was 17.4%. Excluding March 2020, mortality was clearly correlated to the number of COVID-19 admissions per month (coefficient of correlation ρ=.96; <i>p</i>p=.02). Patients admitted in December (high admission rate and high mortality) had more comorbidities and longer hospital stays, and patients treated in intensive care units (ICU) had longer pre-ICU hospital stays and worse respiratory status on ICU admission than those admitted in July to September (low admission rate and low mortality). Mortality in hospitalized COVID-19 patients was clearly associated with the COVID-19 admission rate. Admission of healthier patients between pandemic waves and delayed ICU care during wave peaks could contribute to this pattern. The study supports measures to flatten-the-curve to reduce the number of COVID-19 patients admitted to hospital.
DOI: 10.6084/m9.figshare.16627196.v1
title: Lower antibiotic prescription rates in hospitalized COVID-19 patients than influenza patients, a prospective study

description: COVID-19 patients are extensively treated with antibiotics despite few bacterial complications. We aimed to study antibiotic use in hospitalized COVID-19 patients compared to influenza patients in two consecutive years. Furthermore, we investigated changes in antibiotic use from the first to second pandemic wave. This prospective study included both patients from two referral hospitals in Bergen, Norway, admitted with influenza (<i>n</i> = 215) during the 2018/2019 epidemic and with COVID-19 (<i>n</i> = 82) during spring/summer 2020, and national data on registered Norwegian COVID-19 hospital admissions from March 2020 to January 2021 (<i>n</i> = 2300). Patient characteristics were compared, and logistic regression analysis was used to identify risk factors for antibiotic use. National and local COVID-19 patients received significantly less antibiotics (53% and 49%) than influenza patients (69%, <i>p</i> 90% of antibiotic prescriptions in the two local hospitals, and &gt;70% of prescriptions nationally. When adjusted for age, comorbidities, symptom duration, chest X-ray infiltrates and oxygen treatment, local COVID-19 patients still had significantly lower odds of antibiotic prescription than influenza patients (aOR 0.21, 95%CI 0.09–0.50). At the national level, we observed a significant reduction in antibiotic prescription rates in the second pandemic wave compared to the first (aOR 0.35, 95% CI 0.29–0.43). Fewer COVID-19 patients received antibiotics compared to influenza patients admitted to the two local hospitals one year earlier. The antibiotic prescription rate was lower during the second pandemic wave, possibly due to increased clinical experience and published evidence refuting the efficacy of antibiotics in treating COVID-19 pneumonia.
DOI: 10.34740/kaggle/dsv/2990410
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.6084/m9.figshare.17707445
title: GAToRS validation data and script

description: Validation dataset<br>
DOI: 10.6084/m9.figshare.17707445.v1
title: GAToRS validation data and script

description: Validation dataset<br>
DOI: 10.13012/b2idb-6268941_v1
title: Effects of tick surveillance education on knowledge, attitudes, and practices of local health department employees

description: We developed and delivered in-person training at local health department offices in six of the seven Illinois Department of Public Health “health regions” between April-May of 2019. Pre-, post-, and six-month follow-up questionnaires on knowledge, attitudes, and practices with regards to tick surveillance were administered to training participants.
DOI: 10.6084/m9.figshare.15027975
title: Finger Grip Enhancer for the Elderly: Facts, Comparisons, Preliminary Results, Data and Discussions

description: Contains data and information on:1) Palm Assembly2) Control System: Facts and Comparisons3) Material Selection: Facts and Comparisons4) FEA Preliminary Results of Initial Design5) Experimental Method5.1) Facts on Pinching and Age5.2) Facts on Flexiforce Sensor Reliability5.3) Experiment Validity: Justifications5.4) Procedures: COVID-19 Precautions and Test Order6) Some Data, Results and Discussions6.1) Effect Size (Pinch Force)6.2) Effect Size (Pinch Force Steadiness)6.3) Object Shape Discussion6.4) Verbal Feedback
DOI: 10.6084/m9.figshare.15027975.v1
title: Finger Grip Enhancer for the Elderly: Facts, Comparisons, Preliminary Results, Data and Discussions

description: Contains data and information on:1) Palm Assembly2) Control System: Facts and Comparisons3) Material Selection: Facts and Comparisons4) FEA Preliminary Results of Initial Design5) Experimental Method5.1) Facts on Pinching and Age5.2) Facts on Flexiforce Sensor Reliability5.3) Experiment Validity: Justifications5.4) Procedures: COVID-19 Precautions and Test Order6) Some Data, Results and Discussions6.1) Effect Size (Pinch Force)6.2) Effect Size (Pinch Force Steadiness)6.3) Object Shape Discussion6.4) Verbal Feedback
DOI: 10.5281/zenodo.5811870
title: Antarctic Circumnavigation Expedition sample log: samples collected in the Southern Ocean during the austral summer of 2016/17.

description: <strong>Dataset abstract</strong> The Antarctic Circumnavigation Expedition (ACE) spent 90 days circumnavigating Antarctica on the R/V Akademik Tryoshnikov during the austral summer of 2016/17. This dataset provides a record of the samples that were collected during the expedition. <strong>Dataset contents</strong> ace_sample_log.csv, data file, comma-separated values README.txt, metadata, text data_file_header.txt, metadata, text <strong>Dataset license</strong> This sample log is made available under a Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/
description: The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals.
DOI: 10.5281/zenodo.5811869
title: Antarctic Circumnavigation Expedition sample log: samples collected in the Southern Ocean during the austral summer of 2016/17.

description: <strong>Dataset abstract</strong> The Antarctic Circumnavigation Expedition (ACE) spent 90 days circumnavigating Antarctica on the R/V Akademik Tryoshnikov during the austral summer of 2016/17. This dataset provides a record of the samples that were collected during the expedition. <strong>Dataset contents</strong> ace_sample_log.csv, data file, comma-separated values README.txt, metadata, text data_file_header.txt, metadata, text <strong>Dataset license</strong> This sample log is made available under a Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/
description: The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals.
DOI: 10.5281/zenodo.5806911
title: Dataset and additional files/softwares required for the paper "LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents"

description: This dump contains all files and softwares required for running the codes for the paper "LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents". Specifically, these codes are available at https://github.com/Law-AI/LeSICiN. LeSICiN is a deep neural network for the task of Legal Statute Identification which also uses graphical properties of the document-statute citation network for training and predictions. We have three datasets --- train, dev and test. These are all .jsonl files with each instance dict per line; each instance dict contains the unique id, list of sentences and cited labels of the particular instance. Also, there is a fourth file --- secs.jsonl, which stores the text of all the statutes in similar format. schemas.json list out the metapath schemas for fact and section type nodes, while type_map.json maps the id of each node to its type (Act/Chapter/Topic/Section/Fact). label_tree.json and citation_network.json list out the edges for the two parts of the network in the format of a 3-tuple ('source id', 'relationship type', 'target id') "ils2v.bin" is the pretrained sent2vec vectorizer that can generate a 200-dim vector for each sentence
DOI: 10.5281/zenodo.5337513
title: CNN

description: Code