cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26067901.v1
title: Supplementary Material for: Serum B-Cell Maturation Antigen Reflects Disease Status in a Patient who Developed Nonsecretory Multiple Myeloma: A Case Report

description: ABSTRACT 
INTRODUCTION
Multiple myeloma (MM) is an incurable bone marrow-based cancer involving clonal plasma cells. Most patients show elevated levels of serum monoclonal protein (sMP) and kappa or lambda serum free light chains (sFLC) at diagnosis. However, around 1-2% of patients, termed nonsecretory, do not produce these biomarkers. As the disease progresses, more patients may become unevaluable using conventional markers, requiring invasive and expensive procedures like BM biopsies and PET CT scans for assessment and highlighting the need for alternative methods to monitor disease progression.
CASE PRESENTATION
We present a case report of a multiple myeloma (MM) patient who developed nonsecretory disease during his second line of treatment when he complained of new rib pain; progressive disease was then confirmed on a positron emission tomography computed tomography (PET CT) scan. The patient showed an increase in his serum B-cell maturation antigen (sBCMA) levels whereas his conventional myeloma markers did not detect disease activity (serum M-protein remained undetectable and involved serum lambda free light chain level was normal). After starting a new treatment regimen, his rib pain disappeared, PET CT scan improved, and sBCMA levels decreased. Upon relapse, he developed increased rib pain with a rising sBCMA level; his conventional myeloma markers did not detect disease activity. After changing to a new regimen, his rib pain improved and this was accompanied by a decrease in his sBCMA levels. 
CONCLUSION
Thus, this case exemplifies the potential for sBCMA to provide a non-invasive method for monitoring MM patients who develop nonsecretory disease.
DOI: 10.15468/dl.bpzj7y
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aegiphila cephalophora Standl.)"
 ]
}

 The dataset includes 218 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087789-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12180077
title: Replication Data for: Boolean Circuits in Colloidal Mixtures of ZnO and Proteinoids

description: Replication Data for: Boolean Circuits in Colloidal Mixtures of ZnO and Proteinoids
DOI: 10.5281/zenodo.12180078
title: Replication Data for: Boolean Circuits in Colloidal Mixtures of ZnO and Proteinoids

description: Replication Data for: Boolean Circuits in Colloidal Mixtures of ZnO and Proteinoids
DOI: 10.15468/dl.ggmdgr
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypnea variabilis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 457 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087790-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asbspw
title: Occurrence Download

description: A dataset containing 599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aegiphila costaricensis Moldenke)"
 ]
}

 The dataset includes 599 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087791-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxnb4k
title: Occurrence Download

description: A dataset containing 152437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, Svalbard and Jan Mayen, Portugal, Spain, France, Germany, Belgium, Netherlands, Denmark, Estonia, Latvia, Lithuania, Italy, Greece, Cyprus, Türkiye, Russian Federation, Ukraine, Romania, Bulgaria, Albania, Croatia, Austria, Slovakia, Poland)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Luzula multiflora (Ehrh.) Lej."
 ]
}

 The dataset includes 152437 records from 906 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087785-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4g848k
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypnea esperi Bory)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 143 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087792-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12173942
title: Dataset of Binary Cations Minimize Energy Loss in the Wide Bandgap Perovskite towards Efficient All-perovskite Tandem Solar Cells
DOI: 10.5281/zenodo.12173943
title: Dataset of Binary Cations Minimize Energy Loss in the Wide Bandgap Perovskite towards Efficient All-perovskite Tandem Solar Cells
DOI: 10.5281/zenodo.12180288
title: Innovative 3D Cone Point Cloud Fitting via Landweber Iteration

description: Cone surface fitting is essential in various fields, including computer graphics, computer vision, and robotics.  However, factors such as noise, initial parameter selection, and the varying distribution of point clouds can significantly impact fitting accuracy and stability.  To address these challenges, we propose a novel optimization method based on Landweber iteration.  This method solves an objective function that includes the cone vertex.  Initially, Landweber iteration is used to calculate high-precision initial values for the conical surface by leveraging all point cloud data.  Subsequently, the RANSAC algorithm filters the point cloud data based on these initial values, eliminating points that do not meet the distance threshold.  Finally, an error equation is formulated, and the cone surface parameters are further refined using an optimization algorithm based on Landweber iteration.  Simulation experiments validate the feasibility and robustness of our approach, demonstrating superior accuracy and stability in 3D cone surface fitting.
DOI: 10.5281/zenodo.12180287
title: Innovative 3D Cone Point Cloud Fitting via Landweber Iteration

description: Cone surface fitting is essential in various fields, including computer graphics, computer vision, and robotics.  However, factors such as noise, initial parameter selection, and the varying distribution of point clouds can significantly impact fitting accuracy and stability.  To address these challenges, we propose a novel optimization method based on Landweber iteration.  This method solves an objective function that includes the cone vertex.  Initially, Landweber iteration is used to calculate high-precision initial values for the conical surface by leveraging all point cloud data.  Subsequently, the RANSAC algorithm filters the point cloud data based on these initial values, eliminating points that do not meet the distance threshold.  Finally, an error equation is formulated, and the cone surface parameters are further refined using an optimization algorithm based on Landweber iteration.  Simulation experiments validate the feasibility and robustness of our approach, demonstrating superior accuracy and stability in 3D cone surface fitting.
DOI: 10.5281/zenodo.12180555
title: Innovative 3D Cone Point Cloud Fitting via Landweber Iteration

description: Cone surface fitting is essential in various fields, including computer graphics, computer vision, and robotics.  However, factors such as noise, initial parameter selection, and the varying distribution of point clouds can significantly impact fitting accuracy and stability.  To address these challenges, we propose a novel optimization method based on Landweber iteration.  This method solves an objective function that includes the cone vertex.  Initially, Landweber iteration is used to calculate high-precision initial values for the conical surface by leveraging all point cloud data.  Subsequently, the RANSAC algorithm filters the point cloud data based on these initial values, eliminating points that do not meet the distance threshold.  Finally, an error equation is formulated, and the cone surface parameters are further refined using an optimization algorithm based on Landweber iteration.  Simulation experiments validate the feasibility and robustness of our approach, demonstrating superior accuracy and stability in 3D cone surface fitting.
DOI: 10.15468/dl.7ew3b6
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhodophysema georgei Batters, 1900)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 128 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087793-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ch7yy7xbgz.2
title: 7. Connecting CHEMCAD to a Machine Learning Model on the Wolfram Cloud

description: We previuosly provided examples of connecting Mathematica to CHEMCAD or Aspen Plus. In References 1-3, we showed how to connect CHEMCAD to Mathematica using Link for Excel, with all software running locally on the desktop computer. References 4 and 5 explain how to deploy Mathematica models to the cloud. Once deployed to the cloud, functions can be accessed over the internet from Excel, which in turn is connected to CHEMCAD through data mapping. Reference 6 extends the procedure to Aspen Plus. This data set further extends the study to supervised machine learning models.

As an example problem, we chose a membrane model for an air separation process [7-8]. The membrane unit is well-mixed on the retentate and permeate sides of the membrane. The feed to the membrane unit is fully specified and split by the membrane into retentate and permeate streams. There are many ways to develop a machine-learning model for this problem, and five different methods are provided here, described below.

Method 1 (Proof of concept): Supervised learning with single variable linear regression applied separately to each output. The method in Mathematica uses the “Predict” function, which accepts a list of associations between one input and one output. For example, {{a1➝b1}, {a2➝b2}, etc.}. Because of this input-output structure, “Predict” was used five times to generate five output functions, one for each output. Only one input was varied, the others being held constant, as shown here, with only area changing. For example, for output x1 (retentate mole fraction), the input-output structure changes as follows: 

{{nF1, PR1, PR1, A1} ➝ x1}, {nF2, PR2, PR2, A2} ➝ x2}, etc.} ⇨ {{A1 ➝ x1}, {A2 ➝ x2}, etc.}

This creates the input-output structure needed by “Predict.” We used the model in Ref. 5 to generate a table of data that was then entered into Mathematica to train the model. The training data are provided in the Excel data map worksheet. The trained functions were then deployed to the cloud and called from CHEMCAD.

The model is not very flexible because the feed flow rate, retentate, and permeate pressures are fixed. However, the results are interesting because a wide range of AI and machine learning tools are available in the Wolfram language that could extend this technique to more general situations.

Neural Net Methods:

Method 2: More general model than Method 1. Neural net trained with 1000 simulations generated from the model of Reference 3. All input variables simultaneously generated from random number generators, set to the range of values tabulated below. The trained neural net is called locally from CHEMCAD with Link.

Input Min Max
nF 3,300 3,400
PR 140 160
PP 14 16
A 18,000 22,000

Method 3: Same as Method 2 but trained with 5000 simulations.

Method 4: Same as Method 2, trained with 1000 simulations, but with result deployed to cloud.\

Method 5: Same as Method 4, trained with 5000 simulations, with result deployed to cloud.
DOI: 10.17632/knt2v85d84.1
title: Interactive model for understanding verification ability to learn in university students

description: Executive functions are a set of mental abilities that allow human beings to consciously regulate their behavior and cognitive processing. In the university context it is vital that these high-level mental processes are active for the student to present an executive learning that allows him to verify if he is showing an effective behavior to learn. In this research we present an innovative explanatory model in which through the interaction of executive functions such as monitoring responsibilities, supervisory attentional system, conscious regulation of behavior, decision making, emotion regulation and management of elements to solve tasks, allow us to explain the ability to verify learning behavior. The study sample consisted of 2465 university students (26.9% Chile, 28.8% Ecuador and 44.30% Cuba) between 17 and 33 years of age (M = 20.3; SD = ±2.09). The proposed model presented adequate reliability values (α = .66 and .83; ω = .66 and .83), correlation (r = .31 and .58) and its adjustment was analyzed by means of the structural equation statistical process and good indicators were obtained CFI = .91, RMSEA = .04 (.04 - .05), SRMR = .04. The theoretical model contributes to the understanding of executive functions in the university context and suggests further research in which to intervene in the executive functions of the proposed model as a means of improving the ability to verify the learning behavior of university students.
DOI: 10.15468/dl.bgqe9b
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aegiphila fluminensis Vell.)"
 ]
}

 The dataset includes 378 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087794-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bzj72b4xmd.1
title: Metabolomics study on fermentation of Lactiplantibacillus plantarum ST-Ⅲ with food grade proliferators in milk

description: Table S1 All expressed metabolites after and before fermentation
DOI: 10.15468/dl.as2txh
title: Occurrence Download

description: A dataset containing 1726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Devaleraea ramentacea (Linnaeus) Guiry, 1982)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1726 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087795-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rcyt27txr9.1
title: Screening of bioactive potential Bacillus thuringiensis strains from Macapá, Amazon Region, Brazil against Musca domestica (Diptera: Muscidae) under laboratory

description: Data from bioassays carried out with Bt strains in M. domestica
DOI: 10.15468/dl.ze3ht3
title: Occurrence Download

description: A dataset containing 422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aeollanthus buchnerianus Briq.)"
 ]
}

 The dataset includes 422 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087797-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8yjtj7dhmm.1
title: Self-healing, biocompatible bioinks from self-assembled peptide and alginate hybrid hydrogels

description: Data for manuscript entitled self-healing, biocompatible bioinks from self-assembled peptide and alginate hybrid hydrogels
DOI: 10.17632/ts79w4s9pg.1
title: High-Precision Elevation Estimation from GEDI Waveforms and Its Impact on Canopy Height and Aboveground Biomass Measurements

description: This repository contains the code and trained data for the ground surface estimation method used in the study "High-Precision Elevation Estimation from GEDI Waveforms and Its Impact on Canopy Height and Aboveground Biomass Measurements."
DOI: 10.17632/v4jxnb9gt3.1
title: Importance of driver mutation assessment and driver-targeted therapy for early-stage NSCLC patients with non-R0 resection

description: This data includes the raw data of EGFR genotyping by MassARRAY MALDI-TOF nucleotide mass spectrometry platform (Agena Bioscience, San Diego, CA) in the recent study.

Abstract
Objective: Non-small cell lung cancer patients with incomplete resection have a worse outcome. We aim to identify the risk factors for disease progression and death. Methods: Between August 2011 and December 2020, early-stage NSCLC patients who underwent operation but had a non-R0 resection were included. We analyzed their clinicopathological features and driver mutation status. Results: A total of 65 patients were included for analysis. The median follow-up time was 36.2 months. Thirty-nine patients (60.0%) had experienced disease progression and 3 patients (4.6%) died. Twenty-two patients (33.8%) harbored driver mutation. In multivariate analysis, the presence of driver mutation predicted a higher risk of progression (adjusted OR 24.08 [95% CI 2.77-209.01], P = 0.004). ECOG PS 2 (adjusted HR 3.49 [95% CI 1.10-11.03], P = 0.033), higher tumor stage (adjusted HR 2.55 [95% CI 1.06-6.17], P = 0.037), and the presence of driver mutation (adjusted HR 3.28 [95% CI 1.55-6.94], P = 0.002) all predicted a shorter progression-free survival (PFS). Driver-targeted therapy was associated with a longer post-progression survival when patients were documented to have disease progression (adjusted HR 0.38 [95% CI 0.16-0.91], P = 0.030). There was no significant impact of driver mutation status on overall survival. Conclusions: Although the presence of driver mutation was associated with a higher risk of disease progression and a shorter PFS, patients with disease progression can benefit from driver-targeted therapy, which led to a similar overall survival with that of driver negative or unknown population; hence, comprehensive and earlier analyses of driver mutation are recommended.
DOI: 10.17632/5zb6nptz95.1
title: sediment texture

description: This is a file of sediment textural properties, mean grain size(Mz), sorting (SD), Skewness(Sk), and kurtosis(KG). Sediments were samples in the western Korean coast, including Gangwha, Garolim, Geunso and Nakdong tidal flats which are easily found in the Google map.
DOI: 10.15468/dl.4ampr5
title: Occurrence Download

description: A dataset containing 4802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bonnemaisonia asparagoides (Woodward) C.Agardh)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4802 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087798-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/wq83c
title: Generative preparation tasks in digital collaborative learning

description: Actor and partner effects of constructive preparation activities on deep comprehension: data for the actor-partner model, including the analysis syntax and an Excel spreadsheet that we created for the analysis
DOI: 10.15468/dl.um3raa
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aeollanthus engleri Briq.)"
 ]
}

 The dataset includes 238 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087799-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.539t9w
title: Occurrence Download

description: A dataset containing 7697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bonnemaisonia hamifera Hariot)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7697 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087800-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/rrbuqd
title: Orthorexic tendency and its association with weight control methods, and eating behaviors among adults

description: Database from the study titled: "Orthorexic tendency and its association with eating behaviors and weight control methods among adults". This is a cross-sectional quantitative survey, which was carried out from February to March 2019. Participant recruitment and data collection were conducted by a professional market research agency—ARC Market and Opinion (Warsaw, Poland). Data were collected using the computer-assisted web interviewing technique (CAWI). The database involved 936 participants.
DOI: 10.15468/dl.6cwrcb
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aeollanthus neglectus (Dinter) Launert)"
 ]
}

 The dataset includes 93 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087802-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4ekv4
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aeollanthus rehmannii Gürke)"
 ]
}

 The dataset includes 279 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087804-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86sva8
title: Occurrence Download

description: A dataset containing 26917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphagnum subnitens Russow & Warnst.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26917 records from 301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087803-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28692515.v5
title: <b>Molecular mechanism of phenol 2-monooxygenase (FgPhm)</b><b>in regulating virulence and DON biosynthesis in </b><b><i>Fusarium graminearum</i></b>

description: this study has demonstrated that FgPhm1 is crucial for the growth and development of F. graminearum and the production of Deoxynivalenol (DON), and plays an important role in the pathogenicity and stress response processes of F. graminearum. Through depth research on phenol2-monooxygenase, it lays a foundation for fundamentally revealing the mechanism of action of phenol2-monooxygenase during the growth and development process of F. graminearum, and reveals the relationship between phenol metabolism and the pathogenic mechanism in F. graminearum. Thiswill provides a theoretical basis for the development of new pesticides and the prevention and control of Fusarium head blight of wheat.