cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10846961
title: MIMOSA: dataset behind the interactive tool for selection of nut harvesting machinery in agroforestry context (MachInes en Methodes voor de OogSt van noten in Agroforestry)

description: This dataset contains all the information which is used to run the calculations in the interactive decision support tool "MIMOSA" (MachInes en Methodes voor de OogSt van noten in Agroforestry), intended to select nut harvesting machinery in an agroforestry context. This tool is developed for use in Belgium and The Netherlands, and is currently only available in Dutch.

In recent years, a growing interest in agroforestry systems combined with nut production has been observed in Belgium and the Netherlands. Thereby, it is important to also pay sufficient attention to the harvesting method, even before the trees are planted. For example, grouped planting of varieties according to harvest time is recommended, or the distance between tree rows also determines the possibility of being able to access the field with certain machines. The use of harvesting machines usually also requires an almost perfectly even surface. But the harvesting method itself can also save a lot of time and money.

When harvesting, one can wait until the green husk bursts and the nut falls down naturally or use shaking machines to make the nuts fall faster and at the same time. A choice also has to be made on whether to use nets under the trees or not. If nets are not used, consideration should be given to what other method of harvesting can be used: manually for smaller plots or with different types of pick-up machines or a suction system for larger plantings.

The objective of MIMOSA is to support making the right choices considering scale and farm specific preferences, labour availability, etc.

Based on your personal data, this interactive calculation tool gives you targeted advice for cost-efficient harvesting of your acreage of nuts. Together with the fixed parameters (working width, harvesting speed, fuel consumption, purchase price, depreciation period and machine loading capacity), it then calculates the cost price of harvesting your acreage with different machines for your specific situation (both with and without shaker). Of course, we do want to stress that this is a proposal based on theoretical calculations and only a limited number of machines are included in this calculation tool. It therefore remains important to check for yourself whether the proposed machines are suitable for your farming system.

The use of the MIMOSA tool is free, and it can be accessed through this link https://bdbnet.bdb.be/pls/apex/f?p=147:10

The background info sheet can be read here: https://www.agroforestryvlaanderen.be/nl/nieuws/oogst-van-noten-welke-methodes-en-machines (in Dutch).

More info? Contact us through info@agroforestryvlaanderen.be
DOI: 10.6084/m9.figshare.25298710
title: Development and validation of modified Liaoning score for predicting the prognosis of liver cirrhosis: a retrospective, international multicenter, observational study

description: Liaoning score has been developed and validated to predict the risk of esophageal varices in liver cirrhosis. This study aimed to further modify the Liaoning score by combining clinical and laboratory parameters to predict the long-term outcome of cirrhotic patients. First, 474 cirrhotic patients were retrospectively enrolled from Shenyang, China as the training cohort. Independent predictors for death were identified by competing risk analyses, and then a new prognostic model, called as modified Liaoning score, was developed. Its performance was externally validated at three centers from Fuzhou, China (<i>n</i> = 1944), Jinan, China (<i>n</i> = 485), and São Paulo, Brazil (<i>n</i> = 221). Age, total bilirubin (TBIL), albumin (ALB), serum creatinine (SCr), and Liaoning score were independently associated with death in the training cohort. Modified Liaoning score = 0.159×Liaoning score + 0.010×TBIL(µmol/L)+0.029×age(years)+0.011×SCr(µmol/L)-0.037×ALB(g/L). The area under curve of modified Liaoning score was 0.714 (95%CI = 0.655–0.773), which was higher than that of Child-Pugh score (0.707, 95%CI = 0.645–0.770), MELD score (0.687, 95%CI = 0.623–0.751), and Liaoning score (0.583, 95%CI = 0.513–0.654). A modified Liaoning score of ≥ 1.296 suggested a higher cumulative incidence of death in liver cirrhosis (<i>p</i> &lt; 0.001). Modified Liaoning score still had the highest prognostic performance in Chinese and Brazilian validation cohorts. Modified Liaoning score can be considered for predicting the long-term outcome of cirrhotic patients.
DOI: 10.6084/m9.figshare.25298710.v1
title: Development and validation of modified Liaoning score for predicting the prognosis of liver cirrhosis: a retrospective, international multicenter, observational study

description: Liaoning score has been developed and validated to predict the risk of esophageal varices in liver cirrhosis. This study aimed to further modify the Liaoning score by combining clinical and laboratory parameters to predict the long-term outcome of cirrhotic patients. First, 474 cirrhotic patients were retrospectively enrolled from Shenyang, China as the training cohort. Independent predictors for death were identified by competing risk analyses, and then a new prognostic model, called as modified Liaoning score, was developed. Its performance was externally validated at three centers from Fuzhou, China (<i>n</i> = 1944), Jinan, China (<i>n</i> = 485), and São Paulo, Brazil (<i>n</i> = 221). Age, total bilirubin (TBIL), albumin (ALB), serum creatinine (SCr), and Liaoning score were independently associated with death in the training cohort. Modified Liaoning score = 0.159×Liaoning score + 0.010×TBIL(µmol/L)+0.029×age(years)+0.011×SCr(µmol/L)-0.037×ALB(g/L). The area under curve of modified Liaoning score was 0.714 (95%CI = 0.655–0.773), which was higher than that of Child-Pugh score (0.707, 95%CI = 0.645–0.770), MELD score (0.687, 95%CI = 0.623–0.751), and Liaoning score (0.583, 95%CI = 0.513–0.654). A modified Liaoning score of ≥ 1.296 suggested a higher cumulative incidence of death in liver cirrhosis (<i>p</i> &lt; 0.001). Modified Liaoning score still had the highest prognostic performance in Chinese and Brazilian validation cohorts. Modified Liaoning score can be considered for predicting the long-term outcome of cirrhotic patients.
DOI: 10.6084/m9.figshare.25245146
title: Impact of the COVID-19 pandemic on hospitalizations with hepatocellular carcinoma in the United States

description: We studied the temporal trends of hepatocellular carcinoma (HCC)-related hospitalizations and potential predictors of in-hospital mortality around the COVID-19 pandemic. Using the International Classification of Diseases code, we used the National Inpatient Sample 2019–2020 and defined HCC and its underlying etiology. To assess the impact of the COVID-19 pandemic on hospitalization and in-hospital mortality, the study period was divided into the pre-COVID-19 era (2019 Q1–2020 Q1) and the COVID-19 era (2020 Q2–2020 Q4). Quarterly trends in etiology-based hospitalizations with HCC and predictors of in-hospital mortality among hospitalizations with HCC were determined. Hospitalization rates for HCC, as well as viral hepatitis-related HCC hospitalization rates, remained stable, while hospitalizations with alcohol-related liver disease (ALD, quarterly percentage change [QPC]: 2.1%; 95% confidence interval [CI]: 0.1%-4.2%) increased steadily. Hospitalization related to nonalcoholic fatty liver disease (NAFLD)-related HCC increased significantly steeper in the COVID-19 era (QPC: 6.6%; 95% CI: 4.0%-9.3%) than in the pre-COVID-19 era (QPC: 0.7%; 95% CI: 0.2%-1.3%). COVID-19 infection was independently associated with in-hospital mortality among hospitalizations with HCC (odds ratio: 1.94, 95% CI: 1.30–2.88). Hospitalization rates for viral hepatitis-related HCC remained stable, while those for HCC due to ALD and NAFLD increased during the COVID-19 pandemic.
DOI: 10.6084/m9.figshare.25245146.v1
title: Impact of the COVID-19 pandemic on hospitalizations with hepatocellular carcinoma in the United States

description: We studied the temporal trends of hepatocellular carcinoma (HCC)-related hospitalizations and potential predictors of in-hospital mortality around the COVID-19 pandemic. Using the International Classification of Diseases code, we used the National Inpatient Sample 2019–2020 and defined HCC and its underlying etiology. To assess the impact of the COVID-19 pandemic on hospitalization and in-hospital mortality, the study period was divided into the pre-COVID-19 era (2019 Q1–2020 Q1) and the COVID-19 era (2020 Q2–2020 Q4). Quarterly trends in etiology-based hospitalizations with HCC and predictors of in-hospital mortality among hospitalizations with HCC were determined. Hospitalization rates for HCC, as well as viral hepatitis-related HCC hospitalization rates, remained stable, while hospitalizations with alcohol-related liver disease (ALD, quarterly percentage change [QPC]: 2.1%; 95% confidence interval [CI]: 0.1%-4.2%) increased steadily. Hospitalization related to nonalcoholic fatty liver disease (NAFLD)-related HCC increased significantly steeper in the COVID-19 era (QPC: 6.6%; 95% CI: 4.0%-9.3%) than in the pre-COVID-19 era (QPC: 0.7%; 95% CI: 0.2%-1.3%). COVID-19 infection was independently associated with in-hospital mortality among hospitalizations with HCC (odds ratio: 1.94, 95% CI: 1.30–2.88). Hospitalization rates for viral hepatitis-related HCC remained stable, while those for HCC due to ALD and NAFLD increased during the COVID-19 pandemic.
DOI: 10.6084/m9.figshare.25334239
title: Endoscopic ultrasound-guided radiofrequency ablation of pancreatic insulinoma: a state of the art review

description: Insulinomas are the most common functional pancreatic neuroendocrine tumors (PNETs) that lead to incapacitating hypoglycemia. Guidelines recommend surgical resection as the mainstay of management. However, surgery is fraught with complications, causing significant peri/post-operative morbidity. Since insulinomas are usually benign, solitary, small (&lt;2 cm), and do not need lymphadenectomy, hence, in this regard, endoscopic ultrasound-guided radiofrequency ablation (EUS-RFA) is now being increasingly performed, to circumvent these adverse events and impairment of pancreatic function. A comprehensive literature search was undertaken across various databases (PubMed/MEDLINE, Embase, Scopus), with no language restriction, for relevant articles (case series, reviews, case reports) pertaining to EUS-RFA for insulinoma and PNETs, till October 2023. In this review, we have explicated the role of EUS-RFA for insulinoma management, detailing thoroughly its mechanism of action, EUS-RFA devices with data on its safety and efficacy, and an algorithmic approach for its management. EUS-RFA is being advocated as a ‘mini-invasive’ option with the potential to replace surgery as a first-line approach for benign, sporadic, solitary, and small (&lt;2 cm) insulinomas. Under real-time guidance, EUS-RFA has immense precision, is safe, predictable, with acceptable safety profile. Presently, it is being frequently performed for high-risk or inoperable candidates. Current need-of-the-hour is a randomized controlled trial to substantiate its role in the therapeutic algorithm for insulinoma management.
DOI: 10.6084/m9.figshare.25334239.v1
title: Endoscopic ultrasound-guided radiofrequency ablation of pancreatic insulinoma: a state of the art review

description: Insulinomas are the most common functional pancreatic neuroendocrine tumors (PNETs) that lead to incapacitating hypoglycemia. Guidelines recommend surgical resection as the mainstay of management. However, surgery is fraught with complications, causing significant peri/post-operative morbidity. Since insulinomas are usually benign, solitary, small (&lt;2 cm), and do not need lymphadenectomy, hence, in this regard, endoscopic ultrasound-guided radiofrequency ablation (EUS-RFA) is now being increasingly performed, to circumvent these adverse events and impairment of pancreatic function. A comprehensive literature search was undertaken across various databases (PubMed/MEDLINE, Embase, Scopus), with no language restriction, for relevant articles (case series, reviews, case reports) pertaining to EUS-RFA for insulinoma and PNETs, till October 2023. In this review, we have explicated the role of EUS-RFA for insulinoma management, detailing thoroughly its mechanism of action, EUS-RFA devices with data on its safety and efficacy, and an algorithmic approach for its management. EUS-RFA is being advocated as a ‘mini-invasive’ option with the potential to replace surgery as a first-line approach for benign, sporadic, solitary, and small (&lt;2 cm) insulinomas. Under real-time guidance, EUS-RFA has immense precision, is safe, predictable, with acceptable safety profile. Presently, it is being frequently performed for high-risk or inoperable candidates. Current need-of-the-hour is a randomized controlled trial to substantiate its role in the therapeutic algorithm for insulinoma management.
DOI: 10.6084/m9.figshare.16915946.v1
title: Construction of a multiepitope vaccine candidate against <i>Fasciola hepatica</i>: an <i>in silico</i> design using various immunogenic excretory/secretory antigens

description: <i>Fasciola hepatica</i> is an important pathogen that causes liver fluke disease in definitive hosts such as livestock animals and humans. Various excretory/secretory products have been used in serological diagnosis and vaccination studies targeting fasciolosis. There are no commercial vaccines against fasciolosis yet. Bioinformatic analysis based on computational methods have lower cost and provide faster output compared to conventional vaccine antigen discovery techniques. The aim of this study was to predict B- and T-cell specific epitopes of four excretory/secretory antigens (Kunitz-type serine protease inhibitor, cathepsin L1, helminth defense molecule, and glutathione S-transferase) of <i>Fasciola hepatica</i> and to construct a multiepitope vaccine candidate against fasciolosis. Initially, nonallergic and the highest antigenic B- and T- cell epitopes were selected and then, physico-chemical parameters, secondary and tertiary structures of designed multiepitope vaccine candidate were predicted. Tertiary structure was refined and validated using online bioinformatic tools. Linear and discontinuous B-cell epitopes and disulfide bonds were determined. Finally, molecular docking analysis for MHC-I and MHC-II receptors was performed. This multi-epitope vaccine candidate antigen, with high immunological properties, can be considered as a promising vaccine candidate for animal experiments and wet lab studies.
DOI: 10.6084/m9.figshare.16915946
title: Construction of a multiepitope vaccine candidate against <i>Fasciola hepatica</i>: an <i>in silico</i> design using various immunogenic excretory/secretory antigens

description: <i>Fasciola hepatica</i> is an important pathogen that causes liver fluke disease in definitive hosts such as livestock animals and humans. Various excretory/secretory products have been used in serological diagnosis and vaccination studies targeting fasciolosis. There are no commercial vaccines against fasciolosis yet. Bioinformatic analysis based on computational methods have lower cost and provide faster output compared to conventional vaccine antigen discovery techniques. The aim of this study was to predict B- and T-cell specific epitopes of four excretory/secretory antigens (Kunitz-type serine protease inhibitor, cathepsin L1, helminth defense molecule, and glutathione S-transferase) of <i>Fasciola hepatica</i> and to construct a multiepitope vaccine candidate against fasciolosis. Initially, nonallergic and the highest antigenic B- and T- cell epitopes were selected and then, physico-chemical parameters, secondary and tertiary structures of designed multiepitope vaccine candidate were predicted. Tertiary structure was refined and validated using online bioinformatic tools. Linear and discontinuous B-cell epitopes and disulfide bonds were determined. Finally, molecular docking analysis for MHC-I and MHC-II receptors was performed. This multi-epitope vaccine candidate antigen, with high immunological properties, can be considered as a promising vaccine candidate for animal experiments and wet lab studies.
DOI: 10.5281/zenodo.10792768
title: Artificial intelligence-generated patient safety checklists for musculoskeletal injections

description: Musculoskeletal disorders significantly impact global health, necessitating effective management strategies.  Musculoskeletal injections are critical for managing pain, inflammation, and mobility in these conditions. As their adoption by physicians is increasing, the need for safety protocols intensifies. 

This study will evaluate the capability of conversational artificial intelligence (AI) platforms, specifically ChatGPT-3.5 and ChatGPT-4, to generate patient safety checklists for specific musculoskeletal injections. It aims to assess the efficiency of AI in enhancing safety procedures. 

A quantitative analysis will be conducted as the AI-generated checklists were scored according to a preformed checklist derived from reputable medical sources. The adherence of the generated checklists to the preformed checklist will be calculated and scored. Additionally Wilcoxon Signed Rank Test will be used to assess the differences between the versions of ChatGPT.
DOI: 10.5281/zenodo.10792769
title: Artificial intelligence-generated patient safety checklists for musculoskeletal injections

description: Musculoskeletal disorders significantly impact global health, necessitating effective management strategies.  Musculoskeletal injections are critical for managing pain, inflammation, and mobility in these conditions. As their adoption by physicians is increasing, the need for safety protocols intensifies. 

This study will evaluate the capability of conversational artificial intelligence (AI) platforms, specifically ChatGPT-3.5 and ChatGPT-4, to generate patient safety checklists for specific musculoskeletal injections. It aims to assess the efficiency of AI in enhancing safety procedures. 

A quantitative analysis will be conducted as the AI-generated checklists were scored according to a preformed checklist derived from reputable medical sources. The adherence of the generated checklists to the preformed checklist will be calculated and scored. Additionally Wilcoxon Signed Rank Test will be used to assess the differences between the versions of ChatGPT.
DOI: 10.5281/zenodo.10846831
title: Artificial intelligence-generated patient safety checklists for musculoskeletal injections

description: Musculoskeletal disorders significantly impact global health, necessitating effective management strategies.  Musculoskeletal injections are critical for managing pain, inflammation, and mobility in these conditions. As their adoption by physicians is increasing, the need for safety protocols intensifies. 

This study will evaluate the capability of conversational artificial intelligence (AI) platforms, specifically ChatGPT-3.5 and ChatGPT-4, to generate patient safety checklists for specific musculoskeletal injections. It aims to assess the efficiency of AI in enhancing safety procedures. 

A quantitative analysis will be conducted as the AI-generated checklists were scored according to a preformed checklist derived from reputable medical sources. The adherence of the generated checklists to the preformed checklist will be calculated and scored. Additionally Wilcoxon Signed Rank Test will be used to assess the differences between the versions of ChatGPT.
DOI: 10.18112/openneuro.ds005034.v1.0.1
title: The effect of theta tACS on working memory
DOI: 10.6084/m9.figshare.25449673.v1
title: Supplementary Material for: Utility of echocardiogram in neutropenic patients with gram positive bacteremia – a retrospective study

description: Introduction: Hemato-oncology patients are vulnerable to bloodstream infections due to immunocompromised state and use of intravascular catheters. Data regarding risk of infective endocarditis (IE) among those with gram positive bacteremia is limited.
We aimed to evaluate the incidence of IE among neutropenic hemato-oncology patients, and to explore the yield of echocardiogram in this population. 
Methods: we conducted a single retrospective study of all hospitalized hemato-oncology neutropenic patients with gram positive blood cultures between 2007 and 2021. Data regarding Patients’ characteristics, blood cultures and echocardiogram was collected.
Results: Study included 241 patients, with 283 isolates. Coagulase negative staphylococcus (CONS) were the most commonly isolates found, followed by streptococcus viridans. Trans thoracic echocardiography (TTE) was performed in 45% of patients overall, of which 5.8% had additional Trans esophageal echocardiogram (TEE). 
Only a single case of IE was identified; 47 y/o multiple myeloma patient with neutropenic fever, streptococcus viridans bacteremia, and stroke caused by septic emboli. TTE and TEE failed to demonstrate valvular pathology consistent with IE.
Conclusion In our experience, the yield of echocardiogram in hemato-oncological neutropenic patients with bacteremia is extremely low, owing to reduced probability of IE in this population, and thus could be avoided in most cases.
DOI: 10.5281/zenodo.8433836
title: Filtered Diviner Regolith Temperature Datasets for: A Microphysical Thermal Model for the Lunar Regolith: Investigating the Latitudinal Dependence of Regolith Properties

description: Related Publication: Bürger, J., Hayne, P. O., Gundlach, B., Läuter, M., Kramer, T., & Blum, J. (2024). A microphysical thermal model for the lunar regolith: Investigating the latitudinal dependence of regolith properties. Journal of Geophysical Research: Planets, 129, e2023JE008152. https://doi.org/10.1029/2023JE008152

Dataset: Filtered Diviner regolith temperature data for maria and highlands. The filter is based on albedo, rock abundance and local slope (details see related publication). The Diviner regolith temperatures as a function of local time are collected for every latitude \(\pm \)0.5° at the pixels selected by the above described filter. The arrays contain the binned and averaged values.File Description: Each array contains the mean local time (expressed in hours after noon), mean regolith temperature and corresponding latitude

Data_array_Highlands_individual_latitudes.npy: Dataset for the highlands containing local time (expressed in hours after noon) and mean regolith temperature for every latitude \(\pm \)0.5° between -79° and +79°.

Data_array_Highlands_combined_latitudes.npy: Assuming that the regolith properties are the same in the northern and southern hemispheres, the data for negative and positive latitudes are combined.

Data_array_Maria_individual_latitudes.npy: Dataset for the maria containing local time (expressed in hours after noon) and mean regolith temperature for every latitude \(\pm \)0.5° between -60° and +60°.

Data_array_Maria_combined_latitudes.npy: Assuming that the regolith properties are the same in the northern and southern hemispheres, the data for negative and positive latitudes are combined.