cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24958485.v1
title: Supplementary Material for: Transarterial Chemoembolization Combined with Lenvatinib for Hepatocellular Carcinoma: A Systematic Review and Meta-analysis of Randomized Controlled Trials

description: Introduction: The treatment of hepatocellular carcinoma (HCC) with transarterial chemoembolization (TACE) and lenvatinib individually has shown favorable outcomes, but there is currently no meta-analysis based on randomized controlled trials (RCTs) to investigate the efficacy and safety of this combined treatment for HCC. The aim of this study is to identify the efficacy and safety of TACE plus lenvatinib for the treatment of HCC. 
Methods: A systematic search of MEDLINE (via PubMed), the Cochrane Library, EMBASE, and the Web of Science was conducted on July 31, 2023. RCTs evaluating the efficacy and safety of TACE in combination with lenvatinib for the treatment of HCC were included. The risk of bias in the included studies was assessed using the Risk of Bias 2 tool. Outcome measures such as objective response rate (ORR), CR (complete remission), progression-free survival (PFS), overall survival (OS), and safety parameters were extracted from the included studies. Binary outcomes were analyzed using odds ratio (OR), risk ratio (RR), or hazard ratio (HR), while continuous variables were analyzed using mean difference (MD) or standardized MD (SMD) in Rstudio. The quality of the evidence was graded using the GRADE approach. Heterogeneity was considered significant when the I-squared was 50% or less. 
Results: Five RCTs involving 638 patients were included. The meta-analysis revealed that patients in the TACE plus lenvatinib group had a significantly higher mean ORR compared to the control group (OR: 3.65, 95% CI: 2.50–5.32, fixed effects model; OR: 3.58, 95% CI: 2.45–5.24, random effects model, I2 = 0, moderate quality). Specifically, 40.9% of patients in the TACE plus lenvatinib group achieved a PR, which was significantly higher than the control group (OR: 3.51, 95% CI: 2.41–5.13, fixed effects model; OR: 3.46, 95% CI: 2.36–5.07, random effects model, I2 = 0, moderate quality). The HR for OS was 0.47 (95% CI: 0.35–0.62, fixed effects model and random effects model, I2 = 0, moderate quality). The meta-analysis revealed that the TACE plus lenvatinib group had a significantly higher total adverse effects rate than the control group (OR: 1.86, 95% CI: 1.01–3.43, fixed effects model; OR: 1.85, 95% CI: 1.00–3.43, random effects model, I2 = 0, moderate quality).
Conclusion: Our study suggests that the combination of TACE and lenvatinib in the treatment of HCC has shown promising results, with extended OS and improved ORR.
DOI: 10.17632/m2mpmvn3p7.1
title: Machine Learning-assisted Floor Plan Generation in Old-style Residential Buildings: Macau Tong Lau (Training set for machine learning)

description: Machine Learning-assisted Floor Plan Generation in Old-style Residential Buildings: Macau Tong Lau (Training set for machine learning)
DOI: 10.17632/nshsn5kr27.1
title: Episodic_foresight CPS_involved children

description: Data colected within the research project that aims at describing cognitive abilities of children followed by the Child Protection Services in Portugal.
DOI: 10.17632/3ty6mnp2ph.1
title: Data analytics

description: Data from the spatial correlation analysis between LST and NDVI in the urban influence area of Joinville. This database contains information relating to the pixels of the images used in my course conclusion work, which include the Earth's surface temperature (LST) and the Normalized Difference Vegetation Index (NDVI). However, in this database, it is possible to verify the spatial correlation between the variables and better understand the influence of soil permeability on surface temperature.
DOI: 10.17632/3ty6mnp2ph.2
title: Dados estatísticos das amostras de LST e NDVI

description: Dados das análises estatísticas relacionadas as variáveis LST e NDVI na área de influência urbana de Joinville. Este banco de dados contém informações relativas aos valores de pixels das imagens utilizadas em meu trabalho de conclusão de curso, que incluem resultados das amostras de temperatura de superfície terrestre (Land Surface Temperature) (LST) e do Índice de Vegetação por Diferença Normalizada (Normalized Difference Vegetation Index) (NDVI). Nesta base de dados é possível verificar a correlação linear entre as variáveis e estimar, com base nas amostras, valores de LST na perspectiva dos valores de NDVI. A base contém um arquivo .xlsx com dados das análises estatísticas de ambas as datas e dois arquivos .csv para utilização nos arquivos notebook .ipynb com o código utilizado em python para produção do gráfico de dispersão.
DOI: 10.17632/w4vtszdytb.1
title: JAAD Dermatology Images-Herpes Simplex Supplementary Images

description: Supplemental images for JAAD Dermatology Images - Herpes Simplex
DOI: 10.17632/rbh4wb86j6.1
title: Food Safety Profile of University Food Handlers in Bangladesh: A Multicenter Cross-Sectional Study

description: The XLSX file contains raw data on food safety knowledge, attitude, and practice of university food handlers in Bangladesh and The DOCX file contains study questionnaire and coding information.
DOI: 10.17632/2yydm8jx3n.1
title: Universal Biophysical Synthesis

description: Finding God in Nature.

Natural Theology (also catholic moral realism.)

2021.

All rights reserved.
Safe Creative Code: 2110309664846
DOI: 10.17632/4wph4b4bbw.1
title: Supplementary Material to Treatment for Central Centrifugal Cicatricial Alopecia - Delphi Consensus Recommendations

description: This dataset includes one supplemental figure and three supplemental tables for the manuscript entitled "Treatment for Central Centrifugal Cicatricial Alopecia - Delphi Consensus Recommendations".
DOI: 10.17632/ksf6njpynh.1
title: DataAndCode_CornerBeadGeometryPrediction

description: This folder contains the supplementary material for the paper "Bead geometry prediction and optimization for corner structures in WAAM using Machine Learning"
Marwin Gihr*, Asif Rashid, Shreyes N. Melkote
Contact: *Tel.: +49 15737922958; E-mail address: mgihr@gmx.de

For the study three sets of experiments werde conducted. Within one experiment the travel speed and the corner angle of the beads is varied. The three experiments differ in the selected WFS. The folder Data contains the preprocessed data from the conducted experiments. 
For experiment 1 a WFS of 3.6 m/sec was chosen, experiment 2 was conducted with a WFS of 4.2 m/sec and experiment 3 with 5 m/sec.
In the following the dataset is explained.
- Each row contains the geometrical information of one bead layer cross-section and the process parameters that were used for its manufacturing
- Layer contains the layer number of the particular cross-section
- Group is fully correlated with the utilized TS and is used for indexing
- BeadArm contains the information on which side of the corner tip the cross-section is located and is also used for indexing
- Cross-section is also used for indexing. The combination of Layer, Group, BeadArm, Cross-section and experiment number creates a unique Identifier for all cross-sections
- BW containts the information on the measured BW of the cross-section
- OverlapRegion, CalculatedVolume, InitialTemperature, VolMeanLayerBelow, BHmax and Volume are obsolete for this study
- DistanceToCorner contains the euclidean distance of the cross-section to the tip of the corner
- Angle describes the corner of the bead on which the cross-section is located
- WFS contains the information on the utilized WFS in manufacturing the bead on which the cross-section is located
- TS contains the information on the utilized TS in manufacturing the bead on which the cross-section is located
- BH0-4 contain the BH descriptors that describe the geometry of the Bead in combination with the BW


1_ExtendedBeadGeometryStudy_ModelTraining contains the code to train the Multilayer Perceptron on the collected data.
2_ExtendedBeadGeometryStudy_FeatureStudy contains the code to analyze the model through a feature study.
3_ExtendedBeadGeometryStudy_InverseModel contains the code to use the model inversively to retrieve suggestions for optimized PM and TS combinations

beadwiseStudy_5points_tol20 contains the hystory of the hyperparameter optimization study conducted with the help of the Optuna library

model_5Points_tol20_noOR-R2-0.71 and scaler_5Points_tol20-R2-0.71 contain the trained MLP and the scaler used to preprocess the training and testing data.


The unprocessed, raw data of the study can be provided upon request.
DOI: 10.17632/ksf6njpynh.2
title: DataAndCode_CornerBeadGeometryPrediction

description: This folder contains the supplementary material for the paper "Bead geometry prediction and optimization for corner structures in WAAM using Machine Learning"
Marwin Gihr*, Asif Rashid, Shreyes N. Melkote
Contact: *Tel.: +49 15737922958; E-mail address: mgihr@gmx.de

For the study three sets of experiments werde conducted. Within one experiment the travel speed and the corner angle of the beads is varied. The three experiments differ in the selected WFS. The folder Data contains the preprocessed data from the conducted experiments. 
For experiment 1 a WFS of 3.6 m/sec was chosen, experiment 2 was conducted with a WFS of 4.2 m/sec and experiment 3 with 5 m/sec.
In the following the dataset is explained.
- Each row contains the geometrical information of one bead layer cross-section and the process parameters that were used for its manufacturing
- Layer contains the layer number of the particular cross-section
- Group is fully correlated with the utilized TS and is used for indexing
- BeadArm contains the information on which side of the corner tip the cross-section is located and is also used for indexing
- Cross-section is also used for indexing. The combination of Layer, Group, BeadArm, Cross-section and experiment number creates a unique Identifier for all cross-sections
- BW containts the information on the measured BW of the cross-section
- OverlapRegion, CalculatedVolume, InitialTemperature, VolMeanLayerBelow, BHmax and Volume are obsolete for this study
- DistanceToCorner contains the euclidean distance of the cross-section to the tip of the corner
- Angle describes the corner of the bead on which the cross-section is located
- WFS contains the information on the utilized WFS in manufacturing the bead on which the cross-section is located
- TS contains the information on the utilized TS in manufacturing the bead on which the cross-section is located
- BH0-4 contain the BH descriptors that describe the geometry of the Bead in combination with the BW


1_ExtendedBeadGeometryStudy_ModelTraining contains the code to train the Multilayer Perceptron on the collected data.
2_ExtendedBeadGeometryStudy_FeatureStudy contains the code to analyze the model through a feature study.
3_ExtendedBeadGeometryStudy_InverseModel contains the code to use the model inversively to retrieve suggestions for optimized PM and TS combinations

beadwiseStudy_5points_tol20 contains the hystory of the hyperparameter optimization study conducted with the help of the Optuna library

model_5Points_tol20_noOR-R2-0.71 and scaler_5Points_tol20-R2-0.71 contain the trained MLP and the scaler used to preprocess the training and testing data.


The unprocessed, raw data of the study can be provided upon request.
DOI: 10.17632/ppxymz9bd8.1
title: A literature review of MCDA methods and matching groups - Università Telematica degli Studi IUL

description: A literature review of MCDA methods and matching groups created for ODLEP project, that aims to boost the distance educational programs in Greece, Romania, Italy and Serbia.
More specifically ODLEP aims at:
- Creating an innovative and effective framework for selecting the most suitable instructor for a given group of students for a competent and successful online distance learning program
- Recording the context of distance learning with a focus on partners’ countries and all the required characteristics for selecting the most suitable instructor/educator for every online class/course
- Establishing a theoretical framework and a procedure for assessing and scoring all aspects of the instructors’ profile
- Evaluating desired characteristics for each candidate instructor
- Based on the synthesis of the course/class students, the proposed framework will facilitate the ranking of available instructors, based on multicriteria analysis, in order to select the optimum one
- Delivering an online platform that will put into practice the ODLEP’s methodological approach for facilitating an effective and successful procedure of selecting instructors/educators
- Recording the students’ experience, satisfaction and responses and discussing the results with an emphasis on identifying the best practices
Identifying approaches to improve the instructors’ performance.
- Proposing policy recommendations related to the assignment of the proper instructor to a given class.

Project Coordinator: George Aretoulis - garet@civil.auth.gr
Project general inquiries: ODLEP.project@gmail.com
https://websites.auth.gr/odlep/
DOI: 10.17632/79f2wmdpmr.1
title: Vineyard Leaf Scab (Eriophyes Vitis Pagst.) Damage

description: This dataset consists of images of leaf damage caused by the Vineyard Leaf Scab (Eriophyes Vitis Pagst.) pest, which causes damage in vineyard areas.
DOI: 10.17632/ymgv99j8ww.2
title: Data for: 4433157

description: Peer Review Journal Publication
DOI: 10.17632/33g44f9gbv.1
title: Effect of different contents of FNAT on the phase composition of SmCo5 ribbons

description: refinement results of XRD
DOI: 10.5281/zenodo.10467868
title: Formulation of Natural Hair Oil by Propagation of Fenugreek Seed in Aloe Vera Leaf

description: Hair plays a vital role in human life. Hair is an epidermal derivative, which is an essential part of increasing the body's overall elegance. Hair fall, dandruff, split ends, and grey hair are a few problems involved with hair faced by humans. To overcome these, human takes many measures by applying cosmetics for each. Hair oil is used to solve almost all of these problems. The present research has been undertaken to formulate and evaluate the pure herbal oil formulation by propagation of dried fenugreek seed (Trigonella foenum-graecum) in Aloe vera leaf ((Aloe barbadensis). In the process of formulating specialized hair oil, fenugreek seeds are subjected to a unique propagation method within the confines of an aloe vera leaf. Then dry sprouted fenugreek seed for 24 hr. After that, it is boiled with coconut oil in a water bath. The developed hair oil evaluated, encompassing key parameters such as pH, specific gravity, viscosity, irritation and sensitivity tests, as well as assessments of acid value, saponification value, and anti-dandruff and anti-fungal properties. Good results of hair growth were seen in the formulation. Herbal hair oil has minimal or no side effects. All the evaluation values showed that they were within the acceptable limit. As well as this hair oil shows satisfactory anti-microbial and anti-fungal activity. the formulated hair oil demonstrates superior efficacy, promoting robust hair growth, offering effective dandruff protection, and imparting a glossy and lustrous appearance, surpassing the effects of the marketed formulation.
DOI: 10.5281/zenodo.10467869
title: Formulation of Natural Hair Oil by Propagation of Fenugreek Seed in Aloe Vera Leaf

description: Hair plays a vital role in human life. Hair is an epidermal derivative, which is an essential part of increasing the body's overall elegance. Hair fall, dandruff, split ends, and grey hair are a few problems involved with hair faced by humans. To overcome these, human takes many measures by applying cosmetics for each. Hair oil is used to solve almost all of these problems. The present research has been undertaken to formulate and evaluate the pure herbal oil formulation by propagation of dried fenugreek seed (Trigonella foenum-graecum) in Aloe vera leaf ((Aloe barbadensis). In the process of formulating specialized hair oil, fenugreek seeds are subjected to a unique propagation method within the confines of an aloe vera leaf. Then dry sprouted fenugreek seed for 24 hr. After that, it is boiled with coconut oil in a water bath. The developed hair oil evaluated, encompassing key parameters such as pH, specific gravity, viscosity, irritation and sensitivity tests, as well as assessments of acid value, saponification value, and anti-dandruff and anti-fungal properties. Good results of hair growth were seen in the formulation. Herbal hair oil has minimal or no side effects. All the evaluation values showed that they were within the acceptable limit. As well as this hair oil shows satisfactory anti-microbial and anti-fungal activity. the formulated hair oil demonstrates superior efficacy, promoting robust hair growth, offering effective dandruff protection, and imparting a glossy and lustrous appearance, surpassing the effects of the marketed formulation.
DOI: 10.34820/fk2/tzkb8f/vlen5t
title: 4 work week mindmap 401722542_1702606820206261_5054185148975006279_n.jpg

description: :unav
DOI: 10.34820/fk2/tzkb8f
title: 4 hour work week mind map

description: mind map for book "4 hour work week"
DOI: 10.17632/yr5tyyk8ds.1
title: The Distributed No-Idle Flowshop Scheduling Problem with Due Windows Dataset

description: "The Distributed No-Idle Flowshop Scheduling Problem with Due Windows (DNIFSPDW)" addresses an extension of the Distributed Permutation Flowshop Scheduling Problem with No-Idle and Due Window constraints. The objective of DNIFSPDW is to determine the optimal sequence of job assignments to factories and the sequence in which they should be performed in each factory. This optimal sequence should ensure the minimum total weighted earliness and tardiness (TWET) penalties while also taking into account the due windows.
The enclosed document comprises three distinct files: Small, Large, and Readme. Within the Small and Large files, you will find the data that was developed and utilized for assessing the problem of distributed no-idle flowshop scheduling with due windows. The Readme file provides a comprehensive account of the contents of both the Small and Large files, including a detailed description of the data that is contained within them.
DOI: 10.17632/yr5tyyk8ds.2
title: The Distributed No-Idle Flowshop Scheduling Problem with Due Windows Dataset

description: "The Distributed No-Idle Flowshop Scheduling Problem with Due Windows (DNIFSPDW)" addresses an extension of the Distributed Permutation Flowshop Scheduling Problem with No-Idle and Due Window constraints. The objective of DNIFSPDW is to determine the optimal sequence of job assignments to factories and the sequence in which they should be performed in each factory. This optimal sequence should ensure the minimum total weighted earliness and tardiness (TWET) penalties while also taking into account the due windows.
The enclosed document comprises three distinct files: Small, Large, and Readme. Within the Small and Large files, you will find the data that was developed and utilized for assessing the problem of distributed no-idle flowshop scheduling with due windows. The Readme file provides a comprehensive account of the contents of both the Small and Large files, including a detailed description of the data that is contained within them.
DOI: 10.17632/yr5tyyk8ds.3
title: The Distributed No-Idle Flowshop Scheduling Problem with Due Windows Dataset

description: "The Distributed No-Idle Flowshop Scheduling Problem with Due Windows (DNIFSPDW)" addresses an extension of the Distributed Permutation Flowshop Scheduling Problem with No-Idle and Due Window constraints. The objective of DNIFSPDW is to determine the optimal sequence of job assignments to factories and the sequence in which they should be performed in each factory. This optimal sequence should ensure the minimum total weighted earliness and tardiness (TWET) penalties while also taking into account the due windows.
The enclosed document comprises three distinct files: Small, Large, and Readme. Within the Small and Large files, you will find the data that was developed and utilized for assessing the problem of distributed no-idle flowshop scheduling with due windows. The Readme file provides a comprehensive account of the contents of both the Small and Large files, including a detailed description of the data that is contained within them.
DOI: 10.17632/yr5tyyk8ds.4
title: The Distributed No-Idle Flowshop Scheduling Problem with Due Windows Dataset

description: "The Distributed No-Idle Flowshop Scheduling Problem with Due Windows (DNIFSPDW)" addresses an extension of the Distributed Permutation Flowshop Scheduling Problem with No-Idle and Due Window constraints. The objective of DNIFSPDW is to determine the optimal sequence of job assignments to factories and the sequence in which they should be performed in each factory. This optimal sequence should ensure the minimum total weighted earliness and tardiness (TWET) penalties while also taking into account the due windows.
The enclosed document comprises four distinct files: Small, Large, Readme, and Supplementary Material. Within the Small and Large files, you will find the data that was developed and utilized for assessing the problem of distributed no-idle flowshop scheduling with due windows. The Readme file provides a comprehensive account of the contents of both the Small and Large files, including a detailed description of the data that is contained within them. The Supplementary Material Excel file contains all instances, along with the best complete solutions found, and their objective value.
DOI: 10.17632/22b79z9kr6.1
title: Cryo-EM structures of the plant plastid-encoded RNA polymerase

description: Raw data of paper “Cryo-EM structures of the plant plastid-encoded RNA polymerase”
DOI: 10.17632/22b79z9kr6.2
title: Cryo-EM structures of the plant plastid-encoded RNA polymerase

description: Raw data of paper “Cryo-EM structures of the plant plastid-encoded RNA polymerase”
DOI: 10.17632/dpj8rvx68r.1
title: Risk of Secondary Immune Thrombocytopenia following Alemtuzumab Treatment for Multiple Sclerosis: A Systematic Review and Meta-analysis

description: Immune thrombocytopenia is a significant adverse reaction secondary to multiple sclerosis. To evaluate the risk of secondary Immune thrombocytopenia in multiple sclerosis patients treated with alemtuzumab, we conducted a meta-analysis with subgroup and sensitivity analyses to assess the impact of relevant variables, such as region and study type. A total of 15 studies were included, encompassing 1,729 multiple sclerosis patients.This study found that there was a certain incidence of Immune thrombocytopenia in multiple sclerosis patients after treatment with alemtuzumab, and alemtuzumab may have some interference with platelet levels.Before initiating alemtuzumab, clinical physicians should perform a comprehensive assessment of the patient's benefit-to-risk ratio.
DOI: 10.17632/ykkvmmrx5n.1
title: Radiocarbon entropy of organic matter in marine sediment: Implications on the global marine carbon cycle

description: This dataset contains data of all experiments presented in the study "Radiocarbon entropy of organic matter in marine sediment: Implications on the global marine carbon cycle", submitted to Earth and Planetary Science Letters.
DOI: 10.17632/zbsz2sz8n3.1
title: Entrepreneurial Innovation dataset

description: The data set consists of three folders First, the combined file of Web of Science and Scopus data; second, the analysed table dataset folder; and lastly, the analysed figures dataset folder.