cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19389500
title: Supplementary Material for: Anaemia Is Associated with an Increased Risk of Fractures, a Systematic Review, and Meta-Analysis

description: <b><i>Background:</i></b> Anaemia and osteoporotic fractures are both major health problems among older adults worldwide. <b><i>Objectives:</i></b> Previous studies suggest that anaemia may be associated with elevated fracture risk among older adults; however, the exact relationship between them is unknown. We aimed to investigate the association between anaemia and fracture risk. <b><i>Methods:</i></b> A comprehensive literature search was performed in four medical databases. We included articles that were published from inception to February 18, 2021. Odds ratios (ORs), hazard ratios (HRs) with 95% confidence intervals (CIs), and original raw incidences from studies comparing fracture rates in anaemic versus non-anaemic patients were extracted and pooled with the random-effects model. <i>I</i><sup>2</sup> test was used to assess heterogeneity. Risk of bias assessment was performed using the Quality of Prognostic Studies tool. PROSPERO: CRD42021241109. <b><i>Results:</i></b> A total of 13 studies were identified; 8 of them were included in the quantitative synthesis. Anaemia was found to be a risk factor for fracture compared to non-anaemia. Anaemia increased hip fracture risk in both older men (HR = 1.71; CI: 1.46–2.00, <i>p</i>&lt; 0.001, <i>I</i><sup>2</sup> = 83.2%) and women (HR = 1.31; CI: 1.13–1.52, <i>p</i>&lt; 0.001), but the fracture risk was more increased among men. There was also an increased chance of hip fracture in the presence of anaemia in populations, including both older men and women (OR = 1.64; CI: 1.35–2.01, <i>p</i>&lt; 0.001, <i>I</i><sup>2</sup> = 61.1%). Anaemia was also associated with increased vertebral (HR = 1.21; CI: 1.04–1.40, <i>p</i> = 0.012) and all-type (HR = 1.49; CI: 1.19–1.86, <i>p</i>&lt; 0.001) fracture risk in older men. <b><i>Conclusion:</i></b> Our results suggest that there is a significant relationship between anaemia and fracture risk in older adults. This association is stronger among older men than women and differs in the different types of fractures.
DOI: 10.21227/09a4-yn86
title: Activated Sludge Phase-contrast Microscopic Image

description: Activated Sludge Phase-contrast Microscopic Image
DOI: 10.34820/fk2/da8els/ghflov
title: data link aja syariah dataverse.xlsx

description: Data Primer
DOI: 10.34820/fk2/da8els
title: PENGARUH KUALITAS LAYANAN DALAM KEPUASAN PELANGGAN DAN LOYALITAS PELANGGAN PADA LINKAJA SYARIAH DI JAWA BARAT

description: Era digitalisasi ini, semua kegiatan sudah didominasi oleh teknologi yang canggih apalagi kita sudah memasuki era 4.0 dimana perusahaan terus mengembangkan teknologi yang canggih. Teknologi memudahkan pengguna untuk mencari informasi dengan cepat dan mudah dan komunikasi pun dapat cepat dan mudah. Teknologi yang dianggap dapat memenuhi kebutuhan bagi manusia dengan efektif dan efisien saat ini adalah internet dan smartphone. Internet sendiri merupakan wujud dari teknologi yang mendorong pelaku ekonomi untuk menyediakan fasilitas berbasis internet kebutuhan manusia yang dengan lebih praktis. Penelitian ini dilakukan pada perusahaan LinkAja Syariah. Link Aja Syariah adalah perusahaan yang bergerak dibidang dompet digital dan memiliki fasilitas Layanan yang dicakup di antaranya adalah transfer ke uang, bayar beli melalui smartphone, belanja online, dan berbagi uang. Meskipun LinkAja Syariah merupakan perusahaan teknologi terbesar dan cukup dikenal oleh masyarakat luas, namun belum dapat dipastikan hal tersebut dapat menjamin kepuasan pelanggan dan juga loyalitas pelanggan terhadap LinkAja Syariah. Oleh karena itu penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh Kualitas Layanan yang diberikan oleh LinkAja Syariah untuk meningkatkan kepuasan pelanggan dan loyalitas pelanggan LinkAja Syariah. Tujuan dari penelitian ini adalah untuk mengetahui apakah ada pengaruh Kualitas Layanan dalam Kepuasan Pelanggan dan Loyalitas pelanggan pada LinkAja Syariah. Untuk mengumpulkan data pada penelitian ini, penulis melakukan penyebaran kuesioner melalui Google Forms. Total responden pada penelitian ini sebanyak 400 responden yang merupakan pelanggan aktif LinkAja Syariah. Untuk mencapai tujuan penelitian, teknik analisis data yang digunakan dalam penelitian ini adalah dengan perangkat lunak Smart PLS. Selain itu metode yang digunakan dalam menganalisis data pada penelitian ini adalah analisis statistik deskriptif, Structural Equation Modeling dengan perangkat lunak Smart PLS yang terdiri dari analisis outer model dan inner model serta melakukan pengujian hipotesis. Berdasarkan hasil pengujian ditemukan sebuah hasil yaitu Kualitas Layanan berpengaruh secara signifikan dan positif terhadap Kepuasan Pelanggan, Kualitas Layanan berpengaruh secara signifikan dan positif terhadap Loyalitas Pelanggan, Kepuasan Pelanggan berpengaruh secara signifikan dan positif terhadap Loyalitas Pelanggan. Selain itu, berdasarkan hasil R2 yang didapatkan, pada Kepuasan Pelanggan memiliki hasil sebesar 0.527 atau 52,7% dan Loyalitas Pelanggan memiliki hasil sebesar 0.565 atau 56,5% yang dipengaruhi oleh Kualitas Layanan. Sedangkan sisanya yaitu 47,3% dan 43,5% lainnya dipengaruhi oleh faktor lain yang tidak dikaji dalam penelitian ini.
DOI: 10.6084/m9.figshare.19130045
title: Supplementary Material for: Transjugular intrahepatic portosystemic shunt for portal vein cavernous transformation: a systematic review and single-arm meta-analysis

description: Background: Transjugular intrahepatic portosystemic shunt (TIPS) is technically challenging in the treatment of portal vein cavernous transformation (PVCT), and there is no high-quality evidence regarding whether it is an option for patients with PVCT. We carried out a systematic review and meta-analysis to assess the feasibility and safety of TIPS for PVCT. Methods: Systematic search of PubMed, Chinese National Knowledge Infrastructure Database (CNKI), Cochrane Library, Embase and Wanfang database through December 2021 for appropriate studies reporting efficacy and safety in patients with PVCT undergoing TIPS. The main outcome included the technical successful rate, postoperative rebleeding rate, postoperative hepatic encephalopathy rate, stent patency rate, preoperative and postoperative portal pressure. Results: Ten studies including 292 patients were included. Our results showed that TIPS was technically successful in 82.97% [95% confidence interval (CI): 77.14%-88.41%, P=0.297] with low heterogeneity (I2=18.39%, P=0.279). Postoperative rebleeding occurred in 9.56% (95% CI: 4.55%-16.77%, P=0.073) with moderate heterogeneity (I2=46.45%, P=0.06). Postoperative hepatic encephalopathy occurred in 18.55% (95%CI: 9.23%-27.05%, P=0.343) with moderate heterogeneity (I2=48.62%, P=0.049). Stent patency during follow-up was in 78.43% (95%CI: 70.74%-85.20%, P=0.805) with low heterogeneity (I2=0%, p=0.654). Postoperative portal pressure significantly reduced (WMD=12.79mm Hg, 95% CI: 12.09-13.48mm Hg, P＜0.00001) with high heterogeneity (I2 = 61.4%, P=0.02). Both Begg test and funnel plot showed that there was no significant publication bias. Conclusions: TIPS is feasible and safe in patients with PVCT and PVCT should not be considered an absolute contraindication to TIPS.
DOI: 10.17608/k6.auckland.19388636
title: fasta_files

description: fasta files output from Stacks, with the sequence of the short fragments in which SNPs were identified for NZ-wide, Southern specific, NI specific and SI specific datasets. Each locus name is based on the CHROM ID of the vcf file.
DOI: 10.17608/k6.auckland.19388666.v1
title: ID_Chrom_Loci

description: Excel spreadsheets with four sheets, each one for a vcf file (NZ-wide, Southern specific, NI specific and SI specific), containing the Chrom ID of the corresponding locus ID in vcf files.
DOI: 10.17608/k6.auckland.19388603
title: Vcf_files

description: All filtered vcf files used in the analyses. File names correspond to Table S2 in the supplementary material of Salloum et al. 2022.<br>
DOI: 10.17608/k6.auckland.19388582.v1
title: RDA_imputed_datasets

description: Contains the datasets used for RDA, imputed using the most common genotype within a clade NZ-wide scale (NZ.gen.imp.csv), or the most common genotype among all individuals in the Southern scale (S.gen.imp.csv), North Island scale (NI.ge.imp.csv) and South Island scale (SI.gen.imp.csv)<br>
DOI: 10.17608/k6.auckland.19388666
title: ID_Chrom_Loci

description: Excel spreadsheets with four sheets, each one for a vcf file (NZ-wide, Southern specific, NI specific and SI specific), containing the Chrom ID of the corresponding locus ID in vcf files.
DOI: 10.17608/k6.auckland.19388582
title: RDA_imputed_datasets

description: Contains the datasets used for RDA, imputed using the most common genotype within a clade NZ-wide scale (NZ.gen.imp.csv), or the most common genotype among all individuals in the Southern scale (S.gen.imp.csv), North Island scale (NI.ge.imp.csv) and South Island scale (SI.gen.imp.csv)<br>
DOI: 10.17608/k6.auckland.19388579.v1
title: Raw_fastq_and_keys

description: Contains the raw fastq files resulting from sequencing (SQ0742_S5_L006_R1_001.fastq.gz and SQ0858_CD32AANXX_s_5_fastq.txt.gz), and tables with sequencing identifiers for each sample (translation_table.csv and key.txt).<br>
DOI: 10.17608/k6.auckland.19380407
title: qvalues_RDA-BayeScEnv

description: Contains the resulting q-values for RDA and BayeScEnv analysis individually, and the corresponding combined q-values using the geometric mean method proposed in Salloum et al. 2022, both with environmental variables and random variables.<br>
DOI: 10.17608/k6.auckland.19380407.v1
title: qvalues_RDA-BayeScEnv

description: Contains the resulting q-values for RDA and BayeScEnv analysis individually, and the corresponding combined q-values using the geometric mean method proposed in Salloum et al. 2022, both with environmental variables and random variables.<br>
DOI: 10.17608/k6.auckland.19388636.v1
title: fasta_files

description: fasta files output from Stacks, with the sequence of the short fragments in which SNPs were identified for NZ-wide, Southern specific, NI specific and SI specific datasets. Each locus name is based on the CHROM ID of the vcf file.
DOI: 10.17608/k6.auckland.19380395
title: q-values_PCAdapt-Bayescan

description: Contains the PCAdapt and Bayescan resulting q-values for each analysis individually, and the corresponding combined q-values using the geometric mean method proposed in Salloum et al. 2022.
DOI: 10.17608/k6.auckland.19380389
title: Population_maps

description: Files defining populations for SNP calling and for later analyses. - population_clade_key_man3.txt has all individuals assigned to their populations and clades - population_map_NZ-wide_byClade_forStacks.txt was specifically used for calling SNPs NZ-wide - Remaining filenames correspond to Table S2 in the supplementary material.
DOI: 10.17608/k6.auckland.19380383
title: Random_southern

description: Random variables used in the analyses of the Southern dataset. - *.env: individual random variable files used in BayeScEnv<br>- all_arbitraryS_RDA.csv: same random variables used in BayeScEnv, but in the format to be used in RDA.
DOI: 10.17608/k6.auckland.19380374
title: Random_SI

description: Random variables used in the analyses of the SI dataset.- *.env: individual random variable files used in BayeScEnv- all_arbitrarySI.csv: same random variables used in BayeScEnv, but in the format to be used in RDA.
DOI: 10.17608/k6.auckland.19380377
title: Environmental_southern

description: Environmental data used in the analyses of the Southern dataset.- envDataS_RDA.csv: file with environmental variables used for RDA.- mean___.txt: individual environmental files (scaled and mean centered) used in BayeScEnv.
DOI: 10.17608/k6.auckland.19380395.v1
title: q-values_PCAdapt-Bayescan

description: Contains the PCAdapt and Bayescan resulting q-values for each analysis individually, and the corresponding combined q-values using the geometric mean method proposed in Salloum et al. 2022.
DOI: 10.17608/k6.auckland.19380383.v1
title: Random_southern

description: Random variables used in the analyses of the Southern dataset. - *.env: individual random variable files used in BayeScEnv<br>- all_arbitraryS_RDA.csv: same random variables used in BayeScEnv, but in the format to be used in RDA.
DOI: 10.17608/k6.auckland.19365590
title: Bayescan_imput_format

description: Filtered vcf files were converted to Bayescan and BayeScEnv input file formats (.txt). Filenames correspond to Table S2 in the supplementary material of the published study (Salloum et al. 2022).<br>
DOI: 10.17608/k6.auckland.19380377.v1
title: Environmental_southern

description: Environmental data used in the analyses of the Southern dataset.- envDataS_RDA.csv: file with environmental variables used for RDA.- mean___.txt: individual environmental files (scaled and mean centered) used in BayeScEnv.
DOI: 10.17608/k6.auckland.19365515
title: Random_variables_NI

description: Random variables used in analyses of the NI dataset- *.env: individual random variable files used in BayeScEnv- all_arbitraryNI.csv: same random variables used in BayeScEnv, but in the format to be used in RDA.
DOI: 10.17608/k6.auckland.19365530
title: Environmental_NI

description: Environmental data used in analyses of the NI dataset.envData_NI.csv: file with environmental variables used for RDA.mean___.txt: individual environmental files (scaled and mean centered) used in BayeScEnv.
DOI: 10.17608/k6.auckland.19365608.v1
title: demultiplexed_fastq

description: fastq files originating from GBS were demultiplexed with the Stacks module process_radtags. Here are the individual (demultiplexed) files for each individual. For more details on methodology, see Salloum et al. 2022.
DOI: 10.17608/k6.auckland.19365017
title: Random_variables_NZ-wide

description: Random variables used in analyses of the NZ-wide dataset.- *.env: individual random variable files used in BayeScEnv- all_arbitrary_RDA.csv: same random variables used in BayeScEnv, but in the format to be used in RDA.
DOI: 10.17608/k6.auckland.19365530.v1
title: Environmental_NI

description: Environmental data used in analyses of the NI dataset.envData_NI.csv: file with environmental variables used for RDA.mean___.txt: individual environmental files (scaled and mean centered) used in BayeScEnv.
DOI: 10.17608/k6.auckland.19365020
title: Environmental_NZ-wide

description: Environmental data used in analyses of the NZ-wide dataset.- envData_RDA.csv: file with environmental variables used for RDA.- mean___.txt: individual environmental files (scaled and mean centered) used in BayeScEnv.
DOI: 10.17608/k6.auckland.19365017.v1
title: Random_variables_NZ-wide

description: Random variables used in analyses of the NZ-wide dataset.- *.env: individual random variable files used in BayeScEnv- all_arbitrary_RDA.csv: same random variables used in BayeScEnv, but in the format to be used in RDA.
DOI: 10.17608/k6.auckland.19365515.v1
title: Random_variables_NI

description: Random variables used in analyses of the NI dataset- *.env: individual random variable files used in BayeScEnv- all_arbitraryNI.csv: same random variables used in BayeScEnv, but in the format to be used in RDA.
DOI: 10.17608/k6.auckland.19380374.v1
title: Random_SI

description: Random variables used in the analyses of the SI dataset.- *.env: individual random variable files used in BayeScEnv- all_arbitrarySI.csv: same random variables used in BayeScEnv, but in the format to be used in RDA.
DOI: 10.17608/k6.auckland.19364801
title: Environmental_SI

description: Environmental data used in the analyses of the SI dataset.- envData_SI.csv: file with environmental variables used for RDA.- mean___.txt: individual environmental files (scaled and mean centered) used in BayeScEnv.
DOI: 10.17608/k6.auckland.19365590.v1
title: Bayescan_imput_format

description: Filtered vcf files were converted to Bayescan and BayeScEnv input file formats (.txt). Filenames correspond to Table S2 in the supplementary material of the published study (Salloum et al. 2022).<br>
DOI: 10.17608/k6.auckland.19364801.v1
title: Environmental_SI

description: Environmental data used in the analyses of the SI dataset.- envData_SI.csv: file with environmental variables used for RDA.- mean___.txt: individual environmental files (scaled and mean centered) used in BayeScEnv.
DOI: 10.17608/k6.auckland.19365602
title: Env_nc4_datasets

description: Environmental datasets in netcdf version 4 format, focusing on New Zealand and the Chatham Islands, extracted from NOAA (see Salloum et al. 2022 for references).<br>
DOI: 10.17608/k6.auckland.19365602.v1
title: Env_nc4_datasets

description: Environmental datasets in netcdf version 4 format, focusing on New Zealand and the Chatham Islands, extracted from NOAA (see Salloum et al. 2022 for references).<br>
DOI: 10.34820/fk2/urzlgl/wvunlv
title: Data SNM_CE_Brand Loyalty.tab

description: :unav
DOI: 10.34820/fk2/urzlgl
title: Role of Social Network Marketing towards Brand Loyalty with Customer Engagement as Mediator

description: Research data
DOI: 10.6084/m9.figshare.19389680
title: Correlation between relative afferent pupillary defect and visual field defects_raw data.pdf

description: Raw data of the manuscript
DOI: 10.6084/m9.figshare.19389866
title: Supplementary Material for: Assessing Mild Cognitive Impairment in Parkinson’s Disease by Magnetic Resonance Quantitative Susceptibility Mapping Combined Voxel-Wise and Radiomic Analysis

description: <b><i>Background:</i></b> The relationship between iron accumulation in the central nervous system and cognitive decline in Parkinson’s disease (PD) has not been fully elucidated. This study aimed to explore the value of quantitative susceptibility mapping in assessment of mild cognitive impairment (MCI) in PD. <b><i>Methods:</i></b> Sixteen PD patients with MCI (PD-MCI), sixteen normal cognition PD patients (PD-NC), and 28 healthy controls (HCs) were included. The differences in the magnetic susceptibility and Radiomic indicators among groups and their correlations with Montreal Cognitive Assessment-Basic (MoCA-B) scores and Unified Parkinson’s Disease Rating Scale Part III (UPDRS-III) were analyzed. Receiver operating characteristic curves were used to evaluate the diagnostic performance. <b><i>Results:</i></b> Higher iron deposition was observed in the cortical and subcortical structures of the PD patients compared with HCs, including limbic system, orbitofrontal cortex, cuneus, red nucleus, and substantia nigra. Combined magnetic susceptibility and texture index in hippocampus achieved the best diagnostic performance (area under curves: 0.828) in differentiating PD-MCI from PD-NC. The magnetic susceptibilities of the substantia nigra, red nucleus, putamen, globus pallidus, hippocampus, and thalamus were negatively correlated with the MoCA-B scores (all <i>p</i> &lt; 0.05), and of the putamen and amygdala were positively correlated with the UPDRS-III scores (both <i>p</i> &lt; 0.05). <b><i>Conclusion:</i></b> Higher iron deposition was observed in the cortical and subcortical structures of the PD-MCI and PD-NC groups. The susceptibility values of vulnerable brain subregions shown significant correlation with MoCA-B and UPDRS-III. Together with the texture index, magnetic susceptibility values could provide robust performance in distinguishing PD-MCI patients from PD-NC.
DOI: 10.6084/m9.figshare.19389866.v1
title: Supplementary Material for: Assessing Mild Cognitive Impairment in Parkinson’s Disease by Magnetic Resonance Quantitative Susceptibility Mapping Combined Voxel-Wise and Radiomic Analysis

description: <b><i>Background:</i></b> The relationship between iron accumulation in the central nervous system and cognitive decline in Parkinson’s disease (PD) has not been fully elucidated. This study aimed to explore the value of quantitative susceptibility mapping in assessment of mild cognitive impairment (MCI) in PD. <b><i>Methods:</i></b> Sixteen PD patients with MCI (PD-MCI), sixteen normal cognition PD patients (PD-NC), and 28 healthy controls (HCs) were included. The differences in the magnetic susceptibility and Radiomic indicators among groups and their correlations with Montreal Cognitive Assessment-Basic (MoCA-B) scores and Unified Parkinson’s Disease Rating Scale Part III (UPDRS-III) were analyzed. Receiver operating characteristic curves were used to evaluate the diagnostic performance. <b><i>Results:</i></b> Higher iron deposition was observed in the cortical and subcortical structures of the PD patients compared with HCs, including limbic system, orbitofrontal cortex, cuneus, red nucleus, and substantia nigra. Combined magnetic susceptibility and texture index in hippocampus achieved the best diagnostic performance (area under curves: 0.828) in differentiating PD-MCI from PD-NC. The magnetic susceptibilities of the substantia nigra, red nucleus, putamen, globus pallidus, hippocampus, and thalamus were negatively correlated with the MoCA-B scores (all <i>p</i> &lt; 0.05), and of the putamen and amygdala were positively correlated with the UPDRS-III scores (both <i>p</i> &lt; 0.05). <b><i>Conclusion:</i></b> Higher iron deposition was observed in the cortical and subcortical structures of the PD-MCI and PD-NC groups. The susceptibility values of vulnerable brain subregions shown significant correlation with MoCA-B and UPDRS-III. Together with the texture index, magnetic susceptibility values could provide robust performance in distinguishing PD-MCI patients from PD-NC.
DOI: 10.7925/drs1.duchas_4683363
title: Bacach an Ghleanna - Diarmuid Cam

description: Story collected by a student at Na Gleannta school (Glin South, Co. Kerry) from informant Pádraigh Mac an t- Saoir.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Ss. Ó Conchabhair.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4486563
title: Local Marriage Customs

description: Story collected by Carrie Moore, a student at Glenmaquin school (Glenmaquin, Co. Donegal) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Eilís Bean Uí Leathain.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4945041
title: Fair Field

description: Story collected by D. O Conor, a student at Cnoc na Sná (B.), Mainistir na Féile school (Knocknasna, Co. Limerick) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Dáithí Ó Conchobhair.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4683364
title: Tá cloch in Dún Síon go glaodhtar cloch an t-Sagairt air. Is é an fáth go glaodhtar an t-ainm sin air mar deirtear go bhfuair sagart bás agus ná leigeadh an tiagarna talmhan dos na daoine é do cuir gan cúig púnt...

description: Story collected by Seán Ó Conncubar, a student at Scoil na mBráthar, An Daingean school (Dingle, Co. Kerry) from informant Pádruigh Ó Muircheartaigh.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher An Br. P. Ó h Aragáin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.