cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wz6nhr84pc.1
title: ASSESSING ACCEPTANCE OF AI NURSES FOR INPATIENTS AND OUTPATIENTS IN HEALTHCARE FROM NURSES’ PERSPECTIVE

description: The research model has been designed according to the unified theory of acceptance and the use of technology to understand the acceptance and use of AI nurses for inpatients and outpatients. The analysis of the study has been made using the data collected from 297 nurses. The perceived task technology ft (PTTF), perceived usefulness (PU), perceived ease of use (PEU), information and resource sharing (IRS), social influence (SI), price value (PV), behavioral intention to use (for inpatients and outpatients). A five-point Likert scale on a rating of 1 (strongly disagree) to 5 (strongly agree) was used to evaluate each indicator used in this study.
DOI: 10.17632/wz6nhr84pc.2
title: Assessing Acceptance of Artificial Intelligence Nurses for Outpatients with Chronic Diseases: From Nurses’ Perspective

description: The primary objective of this article is to investigate and forecast nurses' intention to utilize AI nurses for outpatients with chronic diseases. AI technology, which is used in hospitals as disease-centric, is desired to be used in an individual-centric and holistic manner by health sector regulators. The research model was developed per the unified theory of acceptance and usage of technology. To determine the causes and consequences of nurses' attitudes, actions, ideas, and beliefs, the causal comparison screening technique has been used. Research data was collected from registered nurses who work in research hospitals and use smart health technologies for inpatients. The study utilized a hybrid analysis methodology combining two-phase analysis using Partial Least Squares Structural Equation Modeling and evolving artificial intelligence named deep learning (Artificial Neural Network) on 297 usable responses. According to the results, nurses are convinced that AI technology is suitable for their nursing duties and increases their efficiency and productivity. It has been determined that nurses have high intentions to use AI nurses for outpatients with chronic diseases, and nurses have concerns about the reliability of outpatients’ data. The policies and strategies of industry regulators will affect the acceptance of AI technology, not only for nurses but for all healthcare professionals and patients.
DOI: 10.17632/wz6nhr84pc.4
title: Shifting from Disease-Centric to Patient-Centric Healthcare: Evaluating the Acceptance of AI Doctors among Physicians for Data Collection, Diagnosis, Treatment Planning, and Follow-Up Patients 

description: This study examines physicians' attitudes toward the acceptance to use AI doctors in healthcare. Currently, physicians use smart health technologies, health data, and AI in disease-focused research hospitals, and it is aimed by industry regulators that AI technology will be used extensively for outpatients which means a shift from diseases-centric to individual-centric healthcare. The research model has been designed according to the UTAUT. To understand physicians' acceptance to use of AI doctors for data collecting, diagnosis, treatment planning, and patient follow-up. To determine the causes and consequences of physicians' attitudes, behaviors, ideas, and beliefs, the causal comparison screening technique has been used. 478 physicians' replies have been evaluated using structural equation modeling and deep learning (artificial neural network). It was found that physicians have the intention of using AI technology for all phases of the patient-doctor relationship. However, no significant relationship was found between the perceived task-technology fit and data collection constructs. According to the results, performance expectancy, perceived task technology fit, high-tech habit, and hedonic motivation are the main constructs.
DOI: 10.17632/z5m4tw7f5b.1
title: CL316,243 induced thermogenesis in adipose tissue of C57Bl/6J mice

description: Brown adipose tissue (BAT) thermogenesis confers beneficial effects on metabolic diseases such as obesity and type 2 diabetes. Nevertheless, the mechanism and lipid driving the process that evokes this response have not been investigated yet. Here, utilizing a multi-omics approach of integrative transcriptomic and lipidomic to explore the mechanism of regulating thermogenesis in BAT and providing promising lipid biomarkers and biomarker genes for thermogenic activators as anti-obesity drugs. Lipidomics analysis demonstrated that a high abundance of glycerophospholipids and sphingolipids was more significant in BAT than WAT. Enrichment analysis of upregulated DEGs between WAT and BAT screened suggested the differences were mainly involved in lipid metabolism. Besides, β3-adrenergic agonist stimulation reduced the levels of TAG and DAG, increased the content of PC, PE, CL, and LPC, and expression of genes involved in thermogenesis, fatty acid elongation, and glycerophospholipids metabolism in BAT. In this study, based on interpretating the inherent characterization of BAT as thermogenic tissue through comparison with WAT as fat storage tissue, adrenergic stimulation-induced BAT thermogenesis further identified specific lipid biomarkers (7 TAG species, 10 PC species, 1 LPC species, and 1 CL species), and Elovl3 and Crat gene biomarkers which may provide targets for combating obesity by boosting BAT thermogenesis.
DOI: 10.17632/pd98k55tz8.1
title: Supplementary materials for "Triangular well-bound state-driven high Tunneling Electro-Resistance in composite barrier Ferroelectric Tunnel Junction"

description: A MATHEMATICA program to compute charge density, Potential profile, transmission coefficient and current density in the ON state (negative polarization state) of the composite barrier Ferroelectric Tunneling Junction (SRO/STO/BTO/Pt) using Airy and Bessel function as wave functions in Transfer matrix approach. The explanation with example is provided in the attached word file [ftjprogexpl.docx].
DOI: 10.17632/cn7zyh39d8.1
title: Critical appraisal of methodological quality of case-control studies assessing the relationship between giftedness and physiological, neurological or biochemical fatcrors, though a nine-points score.

description: The Table presents a ritical appraisal of methodological quality of case-control studies assessing the relationship between giftedness and physiological, neurological or biochemical fatcrors, though a nine-points score.
DOI: 10.17632/8m9crk7j6p.1
title: Scheme of an Event-Related Potentials (ERPs) assessment of cognitive function

description: This original figure represents the scheme of an Event-Related Potentials (ERPs) assessment of cognitive function, accroding to the results from the review by Serpa et al., 2023.
DOI: 10.17632/g365yrt6c3.1
title: Supplementary material for "Perifollicular linear projections: A dermoscopic criterion for the diagnosis of lentigo maligna on the face."

description: Supplementary material for JAAD article entitled: "Perifollicular linear projections: A dermoscopic criterion for the diagnosis of lentigo maligna on the face."
DOI: 10.17632/n57mxwmzx2.1
title: Androgen action in altering the transcription of neuronal genes. 

description: Figure schematizing evidence of androgen action in altering the transcription of neuronal genes, according to the data collected by SERPA et al., 2023.
DOI: 10.17632/x2rxtpzg4v.1
title: Polish adaptation of Physician’s Trust in the Patient Scale (PTPS) – psychometric properties and validation

description: This repository contains the raw data of Polish adaptation of Physician’s Trust in the Patient Scale (PTPS) – psychometric properties and validation.
The purpose of the study was to adapt into Polish the Physician's Trust in the Patient Scale (PTPS) (Thom et al., 2011) and to determine its internal structure and psychometric properties: reliability and theoretical, criterion, convergent, and discriminant validity.
The data was gathered by the survey in the form of a questionnaire conducted online with the use of Qualtrics platform. 
The method of recruiting the respondents: invitations were sent by email directly to medical facilities, hospitals, and outpatient clinics, as well as to medical universities in Poland.
307 medical doctors representing 51 various medical specialties participated in the study.  This number included: 168 women, 138 men, and one person not identifying with any of the above - mentioned genders. Participants came from 26 various cities in Poland. In order to avoid the possibility of identifying the participants, we decided to remove from the dataset the following sociodemographic data: gender, residence, marital status, information about having children, workplace, employment duration and length of professional experience. 

The dataset contains all the other data that allows to replicate the results and carry out all the calculations that we have implemented in our original research. This includes the results of the following measures: 
1) Physician's Trust in the Patient Scale (referred to as PTPS) (Thom et al., 2011); 
2) The Disposition to Trust & Trusting Beliefs Measure (referred to as DtT and TBM) (McKnight et al., 2002); 
3) General Trust Scale (referred to as GTS) (Yamagishi & Yamagishi, 1994); 
4) Oldenburg Burnout Inventory (referred to as OLBI) (Demerouti & Bakker, 2007); 
5) Self-efficacy subscale from the Copenhagen Psychosocial Questionnaire COPSOQ II (referred to as S_E) (Pejtersen et al., 2010); 
6) Job Satisfaction subscale from the Copenhagen Psychosocial Questionnaire COPSOQ II (referred to as JS) (Pejtersen et al., 2010); 
7) Ten-Item Personality Inventory (referred to as TIPI) (Gosling et al., 2003). 
All measures used in the study were previously validated Polish versions with satisfying psychometric properties. 

The variables signed with R in the end, means that they are reversed, accordingly to the appropriate measure key. 
The numbers of variables are in accordance with the number of questions in the given tools.
The missing data is signed with the 9 (all items), 99 (for medical specialty), or 999 (for age). 

The repository contains also the PDF file (Appendix A.) with the legend of the numbers representing particular medical specialties (the list is in accordance with the specialties currently operating in Poland).
DOI: 10.6084/m9.figshare.21500979
title: Neurofeedback Tinnitus Dataset

description: This is the data set that all primary, secondary and explorartory analyses for our study are based on.
DOI: 10.6084/m9.figshare.21500979.v2
title: Neurofeedback Tinnitus Dataset

description: This is the data set that all primary, secondary and explorartory analyses for our study are based on.
DOI: 10.17632/zxcntf6ks9.1
title: FENOMENA KEBOCORAN EMOSI ORANG TUA KEDUA BERPERAN MENGHAMBAT PROSES PEMBELAJARAN DAN TUMBUH KEMBANG ANAK

description: Peran orang tua yang mengalami kelelahan bisa dirasakan oleh anaknya yang dalam kasus ini adalah anak didiknya, yang lebih dikenal dengan fenomena kebocoran emosi. Jika dibiarkan terus dapat memicu tindakan yang tanpa disadari merupakan salah satu tipe perundungan, kemudian diikuti oleh para saksi dalam merundung korban.
DOI: 10.5517/ccdc.csd.cc1pkz8h
title: CCDC 1566407: Experimental Crystal Structure Determination

description: Related Article: Sanil Rajak, Midhun Mohan, Alexandre A. Tremblay, Thierry Maris, Silvano Leal do Santos, Everaldo Carlos Venancio, Sydney Ferreira Santos, Adam Duong
|2019|ACS Omega|4|2708|doi:10.1021/acsomega.8b03517
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2487rf
title: CCDC 1974134: Experimental Crystal Structure Determination

description: Related Article: Julia A. Eremina, Elizaveta V. Lider, Taisiya S. Sukhikh, Lyubov S. Klyushova, Maria L. Perepechaeva, Dmitriy G. Sheven', Alexey S. Berezin, Alevtina Y. Grishanova, Vladimir I. Potkin|2020|Inorg.Chim.Acta|510|119778|doi:10.1016/j.ica.2020.119778
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2487sg
title: CCDC 1974135: Experimental Crystal Structure Determination

description: Related Article: Julia A. Eremina, Elizaveta V. Lider, Taisiya S. Sukhikh, Lyubov S. Klyushova, Maria L. Perepechaeva, Dmitriy G. Sheven', Alexey S. Berezin, Alevtina Y. Grishanova, Vladimir I. Potkin|2020|Inorg.Chim.Acta|510|119778|doi:10.1016/j.ica.2020.119778
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2487th
title: CCDC 1974136: Experimental Crystal Structure Determination

description: Related Article: Julia A. Eremina, Elizaveta V. Lider, Taisiya S. Sukhikh, Lyubov S. Klyushova, Maria L. Perepechaeva, Dmitriy G. Sheven', Alexey S. Berezin, Alevtina Y. Grishanova, Vladimir I. Potkin|2020|Inorg.Chim.Acta|510|119778|doi:10.1016/j.ica.2020.119778
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/bgwn2m3hbj.1
title: ParallelCoDiff

description: We propose a parallel cooperative diffusion model for joint optic disc and cup segmentation.  The proposed model is evaluated on publicly available datasets including DrishtiGS, RIM-ONE (r3),  and REFUGE.
DOI: 10.17632/n9dvxgncsm.1
title: Optineurin tunes outside-in signaling to regulate lysosome biogenesis and phagocytic clearance in the retina

description: Blots 1 and 2: Immunoblot of outer segment phagocytosis (rhodopsin) in primary RPE pre-treated or not with 2,4,6-triiodophenol (TIP) (40µM, 30 min or 60 min as indicated) followed by outer segment feeding (~40 OS/cell, 30 min, in the presence of TIP). Loading control: β-tubulin. Lanes 1-3: No treatment, Lanes 4-6: 30 min TIP, Lanes 7-9: 60 min TIP.

Blot 3: NativePAGE of RPE lysates immunoblotted for optineurin. Cells were either untreated (Lanes 1-3) or fed with outer segments (~40 OS/cell, 30 min) (Lanes 4-6), or treated with either mitoChlorodinitrobenzoic acid (MC, 5 µM, 30 min) (Lanes 7-9) or Urolithin A (UA, 100 µM, 24 h) (Lanes 10-12). Arrowhead: ~420 kD optineurin hexamers.
DOI: 10.17632/n9dvxgncsm.2
title: Optineurin tunes outside-in signaling to regulate lysosome biogenesis and phagocytic clearance in the retina

description: Blots 1 and 2: Immunoblot of outer segment phagocytosis (rhodopsin) in primary RPE pre-treated or not with 2,4,6-triiodophenol (TIP) (40µM, 30 min or 60 min as indicated) followed by outer segment feeding (~40 OS/cell, 30 min, in the presence of TIP). Loading control: β-tubulin. Lanes 1-3: No treatment, Lanes 4-6: 30 min TIP, Lanes 7-9: 60 min TIP.

Blot 3: NativePAGE of RPE lysates immunoblotted for optineurin. Cells were either untreated (Lanes 1-3) or fed with outer segments (~40 OS/cell, 30 min) (Lanes 4-6), or treated with either mitoChlorodinitrobenzoic acid (MC, 5 µM, 30 min) (Lanes 7-9) or Urolithin A (UA, 100 µM, 24 h) (Lanes 10-12). Arrowhead: ~420 kD optineurin hexamers.
DOI: 10.17632/mn3xyg2gh6.1
title: Neurophysiological parameters obtained after walking on a treadmill in different conditions

description: This data set comprises 142 txt files containing independent variables from experiments consisting in walking in different conditions over a treadmill, such as parameters from H-reflex recruitment curve, presynaptic inhibition, speed, intensity of stimulation, mean arterial pressure, heart rate, and subjective perceived exertion.
DOI: 10.17632/wwwb8whm9n.1
title: DESARROLLO DE UNA ESTRATEGIA DE COMUNICACIÓN PARA LA TIENDA VIRTUAL @SANDIA.COL

description: Anteproyecto de grado sobre comunicación estratégica para pequeños emprendimientos que están empezando en el mundo digital donde desean trabajar principalmente e iniciar como tienda virtual.
DOI: 10.17632/8yh48b4w47.1
title: Dataset E-Readiness for Majalengka District Government

description: This Dataset describes research data obtained through field surveys related to the level of e-readiness for the implementation of Information and communication technology. The dataset can also be used to explore variables based on the COBIT 5 Framework, which variables have an influence on e-readiness conditions.
DOI: 10.17632/8yh48b4w47.2
title: Dataset E-Readiness for Majalengka District Government

description: This Dataset describes research data obtained through field surveys related to the level of e-readiness for the implementation of Information and communication technology. The dataset can also be used to explore variables based on the COBIT 5 Framework, which variables have an influence on e-readiness conditions.
DOI: 10.17632/8yh48b4w47.3
title: Dataset E-Readiness for Majalengka District Government

description: This Dataset describes research data obtained through field surveys related to the level of e-readiness for the implementation of Information and communication technology. The dataset can also be used to explore variables based on the COBIT 5 Framework, which variables have an influence on e-readiness conditions.
DOI: 10.17632/2s47yznh4k.1
title: significance of social media communication

description: According to the statistical findings from the sample study, following brands on social networking websites or online blogs and using these platforms for daily engagement with others have a significant impact on consumers' intentions to make a purchase. Additionally, consumers who read user comments and reviews on social networking sites and blogs before making a purchase appear to have a purpose for doing so. In a way, their increased use of social media and frequent tweeting have obliged them to keep themselves informed about the most recent developments in a particular brand's product
DOI: 10.26050/wdcc/ar6.c6acbcbe
title: IPCC DDC: BCC BCC-ESM1 model output prepared for CMIP6 AerChemMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.AerChemMIP.BCC.BCC-ESM1' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The BCC-ESM 1 climate model, released in 2017, includes the following components: atmos: BCC_AGCM3_LR (T42; 128 x 64 longitude/latitude; 26 levels; top level 2.19 hPa), atmosChem: BCC-AGCM3-Chem, land: BCC_AVIM2, ocean: MOM4 (1/3 deg 10S-10N, 1/3-1 deg 10-30 N/S, and 1 deg in high latitudes; 360 x 232 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: SIS2. The model was run by the Beijing Climate Center, Beijing 100081, China (BCC) in native nominal resolutions: atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 50 km, seaIce: 50 km.
DOI: 10.5281/zenodo.8220971
title: Datasets and results from: "Random Forest Classification and Solar Flares Data: Analysis and Validation"

description: <strong>Instructions for the data and code repository</strong> Results, post-processing workflow, and datasets for the research paper titled "Random Forest Classification and Solar Flares Data: Analysis and Validation". The folder contains three .csv files: the complete dataset (dataset.csv), the balanced training dataset (train_dataset.csv), and the testing dataset (test_dataset.csv). The folder also contains the result files from the research (.csv output files with predictions and .html files with evaluation metrics, etc.) exported from the JASP software. The number in each file name corresponds to the number of trees utilized in Random Forest modelling. In addition, the Python script for the post-processing workflow is provided, with comments located in the script. The soft range X-ray irradiance and VLF amplitude data were obtained from:<br> National Centers for Environmental Information (NCEI) Available online: https://www.ncei.noaa.gov/. Accessed on: 24th June 2023. <br> Worldwide archive of low-frequency data and observations (WALDO) Available online: https://waldo.world/. Accessed on: 24th June 2023.
description: {"references": ["National Centers for Environmental Information (NCEI) Available online: https://www.ncei.noaa.gov/. Accessed: 24th June 2023", "Worldwide Archive of Low-Frequency Data and Observations (WALDO) Available online: https://waldo.world/. Accessed: 24th June 2023"]}
DOI: 10.5281/zenodo.8220970
title: Datasets and results from: "Random Forest Classification and Solar Flares Data: Analysis and Validation"

description: <strong>Instructions for the data and code repository</strong> Results, post-processing workflow, and datasets for the research paper titled "Random Forest Classification and Solar Flares Data: Analysis and Validation". The folder contains three .csv files: the complete dataset (dataset.csv), the balanced training dataset (train_dataset.csv), and the testing dataset (test_dataset.csv). The folder also contains the result files from the research (.csv output files with predictions and .html files with evaluation metrics, etc.) exported from the JASP software. The number in each file name corresponds to the number of trees utilized in Random Forest modelling. In addition, the Python script for the post-processing workflow is provided, with comments located in the script. The soft range X-ray irradiance and VLF amplitude data were obtained from:<br> National Centers for Environmental Information (NCEI) Available online: https://www.ncei.noaa.gov/. Accessed on: 24th June 2023. <br> Worldwide archive of low-frequency data and observations (WALDO) Available online: https://waldo.world/. Accessed on: 24th June 2023.
description: {"references": ["National Centers for Environmental Information (NCEI) Available online: https://www.ncei.noaa.gov/. Accessed: 24th June 2023", "Worldwide Archive of Low-Frequency Data and Observations (WALDO) Available online: https://waldo.world/. Accessed: 24th June 2023"]}