cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24512059
title: Supplementary Material for: Two pediatric patients with acute acquired comitant esotropia as the first symptom of brainstem tumor: A Case Report

description: Introduction Acute acquired comitant esotropia (AACE) is an acquired strabismus with uncrossed sudden-onset diplopia due to esodeviation, comitant esotropia without accommodation factor, or paretic eye movement. The diagnosis of AACE entails differentiation from incomitant esotropia caused by abnormalities in the central nervous system. We present two pediatric patients with AACE as the first symptom of brainstem tumor. Case presentation The two patients were aware of their diplopia and had no other neurological abnormalities. There were no special findings in the anterior segment, ocular media, or fundus. Esotropia with a difference of no more than 10Δ between distant and near fixations was observed. Eye movements were normal, and Hess red-green test under prism neutralization did not reveal abduction restriction. The presumed cause of AACE in both patients was excessive use of digital displays, and brain magnetic resonance imaging (MRI) was performed to confirm the absence of neurological abnormality. Using MRI, a definitive diagnosis of AACE was made based on comitant esotropia associated with diffuse median glioma and medullary pilocytic astrocytoma without abducens nerve palsy. Conclusion Although the incidence of AACE caused by brainstem tumors may be low, it is necessary to perform head imaging to confirm etiology. Furthermore, Hess red-green test under prism neutralization is considered important for the differentiation of abducens nerve palsy.
DOI: 10.7916/awxr-br84
title:  Data for Tables 1 and 2 in A Scaffold Containing Zinc Oxide for Schwann Cell Mediated Axon Growth
DOI: 10.6084/m9.figshare.24278749
title: Supplementary Material for: Hepatocellular Carcinoma Subtyping and Prognostic Model Construction Based on Chemokine-Related Genes

description: Background: Chemokines not only regulate immune cells but also play significant roles in development and treatment of tumors and patient prognoses. However, these effects have not been fully explained in hepatocellular carcinoma (HCC). Materials and Methods: We conducted a clustering analysis of chemokine-related genes. We then examined the differences in survival rates and analyzed immune levels using single sample gene set enrichment analysis (ssGSEA) for each subtype. Based on chemokine-related genes of different subtypes, we built a prognostic model in The Cancer Genome Atlas (TCGA) dataset using the survival package and glmnet package and validated it in the Gene Expression Omnibus (GEO) dataset. We used univariate and multivariate regression analyses to select independent prognostic factors and used R package rms to draw a nomogram reflecting patient survival rates at 1, 3, and 5 years. Results: We identified two chemokine subtypes, and after screening, found that Cluster1 had higher survival rates than Cluster2. In addition, in terms of immune evaluation, stromal evaluation, ESTIMATE evaluation, immune abundance, immune function, and expressions of various immune checkpoints, immune levels of Cluster1 were significantly better than those of Cluster2. The immunophenoscore (IPS) of HCC patients in Cluster1 was significantly higher than that in Cluster2. Furthermore, we established a prognostic model consisting of 9 genes, which correlated with chemokines. Through testing, RiskScore was revealed as an independent prognostic factor, and the model could effectively predict HCC patients’ prognoses in both TCGA and GEO datasets. Conclusion: This study resulted in the development of a novel prognostic model related to chemokine genes, providing new targets and theoretical support for HCC patients.
DOI: 10.6084/m9.figshare.24278749.v1
title: Supplementary Material for: Hepatocellular Carcinoma Subtyping and Prognostic Model Construction Based on Chemokine-Related Genes

description: Background: Chemokines not only regulate immune cells but also play significant roles in development and treatment of tumors and patient prognoses. However, these effects have not been fully explained in hepatocellular carcinoma (HCC). Materials and Methods: We conducted a clustering analysis of chemokine-related genes. We then examined the differences in survival rates and analyzed immune levels using single sample gene set enrichment analysis (ssGSEA) for each subtype. Based on chemokine-related genes of different subtypes, we built a prognostic model in The Cancer Genome Atlas (TCGA) dataset using the survival package and glmnet package and validated it in the Gene Expression Omnibus (GEO) dataset. We used univariate and multivariate regression analyses to select independent prognostic factors and used R package rms to draw a nomogram reflecting patient survival rates at 1, 3, and 5 years. Results: We identified two chemokine subtypes, and after screening, found that Cluster1 had higher survival rates than Cluster2. In addition, in terms of immune evaluation, stromal evaluation, ESTIMATE evaluation, immune abundance, immune function, and expressions of various immune checkpoints, immune levels of Cluster1 were significantly better than those of Cluster2. The immunophenoscore (IPS) of HCC patients in Cluster1 was significantly higher than that in Cluster2. Furthermore, we established a prognostic model consisting of 9 genes, which correlated with chemokines. Through testing, RiskScore was revealed as an independent prognostic factor, and the model could effectively predict HCC patients’ prognoses in both TCGA and GEO datasets. Conclusion: This study resulted in the development of a novel prognostic model related to chemokine genes, providing new targets and theoretical support for HCC patients.
DOI: 10.6084/m9.figshare.24166137
title: Supplementary Material for: Extraction of interoperable data from healthcare documents by identifying Common Data Elements: an analysis of Radiation Therapy Planning CT Physician Order Entry records

description: Introduction: Documentation as well as IT-based management of medical data is of ever-increasing relevance in modern medicine. As radiation oncology is a rather technical, data-driven discipline, standardization and data exchange are in principle possible. We examined electronic healthcare documents to extract structured information. Planning CT order entry documents were chosen for the analysis, as this covers a common and structured step in radiation oncology, for which standardized documentation may be achieved. Aim was to examine the extent to which relevant information may be exchanged among different institutions. Materials and Methods: We contacted representatives of nine radiation oncology departments. Departments using standardized electronic documentation for planning CT were asked to provide templates of their records, which were analyzed in terms of form and content. Structured information was extracted by identifying definite common data elements, containing explicit information. Relevant common data elements were identified and classified. A quantitative analysis was performed to evaluate the possibility of data exchange. Results: We received data of seven documents that were heterogeneous regarding form and content. 181 definite common data elements considered relevant for the planning CT were identified and assorted into five semantic groups. 139 data elements (76.8%) were present in only one document. The other 42 data elements were present in two to six documents, while none was shared among all seven documents. Conclusion: Structured and interoperable documentation of medical information can be achieved using common data elements. Our analysis showed that a lot of information recorded with healthcare documents can be presented with this approach. Yet, in the analyzed cohort of planning CT order entries, only a few common data elements were shared among the majority of documents. A common vocabulary and consensus upon relevant information is required to promote interoperability and standardization.
DOI: 10.6084/m9.figshare.24166137.v1
title: Supplementary Material for: Extraction of interoperable data from healthcare documents by identifying Common Data Elements: an analysis of Radiation Therapy Planning CT Physician Order Entry records

description: Introduction: Documentation as well as IT-based management of medical data is of ever-increasing relevance in modern medicine. As radiation oncology is a rather technical, data-driven discipline, standardization and data exchange are in principle possible. We examined electronic healthcare documents to extract structured information. Planning CT order entry documents were chosen for the analysis, as this covers a common and structured step in radiation oncology, for which standardized documentation may be achieved. Aim was to examine the extent to which relevant information may be exchanged among different institutions. Materials and Methods: We contacted representatives of nine radiation oncology departments. Departments using standardized electronic documentation for planning CT were asked to provide templates of their records, which were analyzed in terms of form and content. Structured information was extracted by identifying definite common data elements, containing explicit information. Relevant common data elements were identified and classified. A quantitative analysis was performed to evaluate the possibility of data exchange. Results: We received data of seven documents that were heterogeneous regarding form and content. 181 definite common data elements considered relevant for the planning CT were identified and assorted into five semantic groups. 139 data elements (76.8%) were present in only one document. The other 42 data elements were present in two to six documents, while none was shared among all seven documents. Conclusion: Structured and interoperable documentation of medical information can be achieved using common data elements. Our analysis showed that a lot of information recorded with healthcare documents can be presented with this approach. Yet, in the analyzed cohort of planning CT order entries, only a few common data elements were shared among the majority of documents. A common vocabulary and consensus upon relevant information is required to promote interoperability and standardization.
DOI: 10.6084/m9.figshare.24287359
title: Supplementary Material for: Simple scoring system for esophagogastric varices prediction in hepatocellular carcinoma patients without liver stiffness evaluation

description: Background/Aim: For predicting esophagogastric varices (EGV), the Virtual Baveno VII Consensus Workshop has proposed a combination of liver stiffness determination and platelet count measurement using a FibroScan®. However, that is not available at all institutions. The present study aimed to develop a simple method to predict development of EGV using only general blood examination results. Materials/methods: A total of 1090 hepatocellular carcinoma (HCC) patients were enrolled, after excluding 956 with major portal vein tumor thrombus (Vp3/Vp4) or without upper gastrointestinal endoscopy examination results available. Those with EGV (≥grade F2) or a history of treatment for the condition were defined as positive for significant EGV, then clinical factors were retrospectively evaluated to determine indicators of occurrence. Results: Logistic multivariate analysis showed platelet count (≤12 x104/μL) [odds ratio (OR) 3.79, P&lt;0.001], mALBI grade 2a (OR 1.52, P=0.036), and mALBI 2b or 3 (OR 3.46, P&lt;0.001) as significant predictive factors. Based on the OR values, platelet count (≤12 x104/μL) and mALBI grade 2b/3 were each assigned 2 points and mALBI 2a was given 1 point, with the result termed Recommendation for EGV Screening (REGS) score. EGV occurrence was noted in 2.9% (9/311) of the patients with a REGS score 0, 11.0% (13/118) with a score 1, 19.3% (53/274) with a score 2, 29.5% (39/132) with a score 3, and 38.0% (97/255) with a score 4 (P&lt;0.001). Conclusion: The findings indicate that REGS score can provide useful predictive information for development of significant EGV without the need for special equipment such as a FibroScan®.
DOI: 10.6084/m9.figshare.24287359.v1
title: Supplementary Material for: Simple scoring system for esophagogastric varices prediction in hepatocellular carcinoma patients without liver stiffness evaluation

description: Background/Aim: For predicting esophagogastric varices (EGV), the Virtual Baveno VII Consensus Workshop has proposed a combination of liver stiffness determination and platelet count measurement using a FibroScan®. However, that is not available at all institutions. The present study aimed to develop a simple method to predict development of EGV using only general blood examination results. Materials/methods: A total of 1090 hepatocellular carcinoma (HCC) patients were enrolled, after excluding 956 with major portal vein tumor thrombus (Vp3/Vp4) or without upper gastrointestinal endoscopy examination results available. Those with EGV (≥grade F2) or a history of treatment for the condition were defined as positive for significant EGV, then clinical factors were retrospectively evaluated to determine indicators of occurrence. Results: Logistic multivariate analysis showed platelet count (≤12 x104/μL) [odds ratio (OR) 3.79, P&lt;0.001], mALBI grade 2a (OR 1.52, P=0.036), and mALBI 2b or 3 (OR 3.46, P&lt;0.001) as significant predictive factors. Based on the OR values, platelet count (≤12 x104/μL) and mALBI grade 2b/3 were each assigned 2 points and mALBI 2a was given 1 point, with the result termed Recommendation for EGV Screening (REGS) score. EGV occurrence was noted in 2.9% (9/311) of the patients with a REGS score 0, 11.0% (13/118) with a score 1, 19.3% (53/274) with a score 2, 29.5% (39/132) with a score 3, and 38.0% (97/255) with a score 4 (P&lt;0.001). Conclusion: The findings indicate that REGS score can provide useful predictive information for development of significant EGV without the need for special equipment such as a FibroScan®.
DOI: 10.6084/m9.figshare.24310222
title: Supplementary Material for: Cardiac Output Changes during Renal Replacement Therapy: A Scoping Review

description: Introduction: Renal Replacement Therapy (RRT) is associated with hypotension. However, its impact on cardiac output (CO) is less understood. We aimed to describe current knowledge of CO monitoring and changes during RRT. Methods: We searched Medline, Embase and Cochrane from 01/01/2000 to 31/01/2023 using Covidence for studies of intermittent hemodialysis (IHD) and continuous RRT (CRRT) with at least three CO measurements during treatment. Two independent reviewers screened citations and a third resolved disagreements. The findings did not allow meta-analysis and are presented descriptively. Results: We screened 3285 articles and included 48 (37 during IHD, nine during CRRT, and two during both). Non-invasive devices (electrical conductivity techniques and finger cuff pulse contour) were the most common CO measurement techniques (21 studies). The median baseline cardiac index in IHD studies was 3 L/min/m2 (95% CI, 2.7 to 3.39). Among the 88 patient cohorts studied, a decrease in CO occurred in 63 (72%). In 16 cohorts, the decrease was severe (&gt; 25%). Changes in blood pressure (BP) were not concordant in extent or direction with changes in CO. The decrease in CO correlated weakly with ultrafiltration rate (r = - 0.3, p = 0.05) and strongly with changes in systemic vascular resistance (SVR) (r = - 0.6, p &lt; 0.001). Discussion/Conclusion: There are limited data on CO changes during RRT. However, a decrease in CO appeared common and was marked in one of five patient cohorts. Such decreases often occurred without BP changes and were associated with increased SVR.
DOI: 10.6084/m9.figshare.24487111
title: Supplementary Material for: Removal of α1-microglobulin using post-dilution online hemodiafiltration with polymethylmethacrylate membrane: an open-label, single-arm study

description: Introduction: The removal of low and medium-molecular-weight proteins has been improved with online hemodiafiltration (OL-HDF) and hemodialysis using high-flux membranes; however, the outcomes of patients with end-stage kidney disease (ESKD) undergoing dialysis treatment are still worse than in the general population. Alpha-1-microglobulin (α1-m), a molecular weight of 33,000 Da, may contribute to dialysis-related disorders and mortality. However, the removal is insufficient even with current OL-HDF using the polysulfone (PS) membrane, which is common in Japan. Polymethylmethacrylate (PMMA) membranes can remove medium- to high-molecular-weight proteins by adsorption. This study aimed to assess the efficacy of removing medium- to high-molecular-weight proteins, such as α1-m and β2-microglobulin (β2-m), through post-dilution OL-HDF with PMMA (Post-PMMA). The assessment was conducted in comparison to pre-dilution OL-HDF with PS (Pre-PS), using an open-label, single-arm study. Methods: Seven patients with ESKD on Pre-PS underwent Post-PMMA with replacement volume of 30 ml/min (low flow) and 50 ml/min (high flow). Clearance and removal rates of α1-m, β2-m, small molecules, inflammatory cytokines, and albumin were measured at 60 and 240 min of treatment. Results: The clearances of α1-m at 60 min were -2.8 ± 5.2 ml/min with Pre-PS, -0.4 ± 2.6 ml/min with Post-PMMA (low), and 0.6 ± 3.4 ml/min with Post-PMMA (high). The removal rate of α1-m was higher in Post-PMMA than in Pre-HDF-PS [Post-PMMA (high) 17.7 ± 5.9%, Post-PMMA (low) 15.0 ± 5.6%, and Pre-PS 4.1 ± 5.5%]. The adsorption clearance of β2-m was increased with Post-PMMA. Albumin leakage in Post-PMMA was not higher than in Pre-PS. Discussion/Conclusion: The removal rate of α1-m with Post-PMMA was higher than that with Pre-PS. PMMA membrane adsorbed β2-m, suggesting the removal effect of medium- to high-molecular-weight proteins by the adsorption method. Since Post-PMMA effectively removes α1-m without excessive albumin leakage, it will be useful for patients with ESKD, especially those with poor nutritional state.
DOI: 10.6084/m9.figshare.24525028.v1
title: Table S4.1 Prevalence of dominant aac(6’)-class genes among gram-negative species of interest, analyzed by the Comprehensive Antibiotic Resistance Database

description: This file contains the ARG prevalence data used to generate Fig. 4-1 in Chapter 4, and the aac(6')-class gene prevalence data by CARD version 3.0.8.
DOI: 10.6084/m9.figshare.24525028
title: Table S4.1.xlsx

description: Thesis Table S4.1 Prevalence of dominant aac(6’)-class genes among gram-negative species of interest, analyzed by the Comprehensive Antibiotic Resistance DatabaseThis file contains the ARG prevalence data used to generate Fig. 4-1 in Chapter 4, and the aac(6')-class gene prevalence data by CARD version 3.0.8.
DOI: 10.6084/m9.figshare.24525028.v3
title: Table S4.1.xlsx

description: Thesis Table S4.1 Prevalence of dominant aac(6’)-class genes among gram-negative species of interest, analyzed by the Comprehensive Antibiotic Resistance DatabaseThis file contains the ARG prevalence data used to generate Fig. 4-1 in Chapter 4, and the aac(6')-class gene prevalence data by CARD version 3.0.8.
DOI: 10.6084/m9.figshare.24525028.v2
title: Table S4.1

description: Thesis Table S4.1 Prevalence of dominant aac(6’)-class genes among gram-negative species of interest, analyzed by the Comprehensive Antibiotic Resistance DatabaseThis file contains the ARG prevalence data used to generate Fig. 4-1 in Chapter 4, and the aac(6')-class gene prevalence data by CARD version 3.0.8.
DOI: 10.5281/zenodo.10082657
title: Works of Colombian publisher taken from OpenAlex
DOI: 10.5281/zenodo.10082656
title: Works of Colombian publisher taken from OpenAlex
DOI: 10.5281/zenodo.10083048
title: THE IMPORTANCE OF USING INTERNET TECHNOLOGIES IN EDUCATION.
DOI: 10.5281/zenodo.10083049
title: THE IMPORTANCE OF USING INTERNET TECHNOLOGIES IN EDUCATION.
DOI: 10.5281/zenodo.10083056
title: SUN'IY NEYRON TARMOQ YORDAMIDA VIDEO FAYLDAGI INSON HARAKATLARI ANIQLASH ALGORITMLARI TAHLILI.
DOI: 10.5281/zenodo.10083057
title: SUN'IY NEYRON TARMOQ YORDAMIDA VIDEO FAYLDAGI INSON HARAKATLARI ANIQLASH ALGORITMLARI TAHLILI.
DOI: 10.5281/zenodo.10083081
title: МЕТОДЫ ИЗМЕРЕНИЯ ТЕПЛОВЫХ И ЭНЕРГЕТИЧЕСКИХ ХАРАКТЕРИСТИК ПАРАБОЛОЦИЛИНДРИЧЕСКИХ КОНЦЕНТРАТОРОВ
DOI: 10.5281/zenodo.10083082
title: МЕТОДЫ ИЗМЕРЕНИЯ ТЕПЛОВЫХ И ЭНЕРГЕТИЧЕСКИХ ХАРАКТЕРИСТИК ПАРАБОЛОЦИЛИНДРИЧЕСКИХ КОНЦЕНТРАТОРОВ
DOI: 10.5281/zenodo.10012245
title: CBS - Charging Behavior Survey

description: Two online surveys, one for BEV, and one for truck drivers, were set up and yielded a total of 348 responses, which are all included in this data set. For the BEV survey, stickers with QR codes linking to the respective online survey were attached to 56 charging stations in Munich and its surroundings. The truck survey was sent to professional truck drivers known to the Chair of Automotive Technology of the Technical University of Munich. 
The data repository available contains three data file types, all in CSV format:

The surveys' complete results are provided in both German (original) and English (translated) language (bev_survey_ger.csv, bev_survey_eng.csv, truck_survey_ger.csv, truck_survey_eng.csv).
Question encodings are given by bev_question_encoding.csv and truck_question_encoding.csv. These encoding files contain the original question texts, their English translations, the corresponding column name mapping to column names in the survey data CSV, and the data type per question.
bev_response_translation.csv and truck_response_translation.csv comprise all original response options and their English translations.
Additionally, we provide two Python files for an easy import of the data sets. 
The data was collected from December 2022 to February 2023.
DOI: 10.5281/zenodo.10012246
title: CBS - Charging Behavior Survey

description: Two online surveys, one for BEV, and one for truck drivers, were set up and yielded a total of 348 responses, which are all included in this data set. For the BEV survey, stickers with QR codes linking to the respective online survey were attached to 56 charging stations in Munich and its surroundings. The truck survey was sent to professional truck drivers known to the Chair of Automotive Technology of the Technical University of Munich. 
The data repository available contains three data file types, all in CSV format:

The surveys' complete results are provided in both German (original) and English (translated) language (bev_survey_ger.csv, bev_survey_eng.csv, truck_survey_ger.csv, truck_survey_eng.csv).
Question encodings are given by bev_question_encoding.csv and truck_question_encoding.csv. These encoding files contain the original question texts, their English translations, the corresponding column name mapping to column names in the survey data CSV, and the data type per question.
bev_response_translation.csv and truck_response_translation.csv comprise all original response options and their English translations.
The data was collected from December 2022 to February 2023.