cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zwatas
title: Occurrence Download

description: A dataset containing 848 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Habenaria dentata (Sw.) Schltr."
 ]
}

 The dataset includes 848 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015097-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysqnxb
title: Occurrence Download

description: A dataset containing 1960 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Podarcis sicula Sehnal & Schuster, 1999"
 ]
}

 The dataset includes 1960 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026073-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehmny8
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chiococca pinetorum Britton ex Millsp."
 ]
}

 The dataset includes 90 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011256-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rf5gtw
title: Occurrence Download

description: A dataset containing 409 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ochotona dauurica (Pallas, 1776)"
 ]
}

 The dataset includes 409 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019371-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmnjyf
title: Occurrence Download

description: A dataset containing 2639 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Chaetocnema hortensis (Geoffroy, 1785)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 2639 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019372-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10039819
title: soil carbon data

description: Soil carbon storage data
DOI: 10.5281/zenodo.10039820
title: soil carbon data

description: Soil carbon storage data
DOI: 10.5281/zenodo.13943297
title: Communities in global tourism network and related data

description: 1995-2021 Communities within Global Tourism Network and Population, Urban population, GDP, GDP per capita, Exports of goods and services, Air passengers carried, Number of world heritage, Number of representative intangible cultural heritage, War and conflict, Political violence and protest events, Geographical proximity.
DOI: 10.5281/zenodo.13943298
title: Communities in global tourism network and related data

description: 1995-2021 Communities within Global Tourism Network and Population, Urban population, GDP, GDP per capita, Exports of goods and services, Air passengers carried, Number of world heritage, Number of representative intangible cultural heritage, War and conflict, Political violence and protest events, Geographical proximity.
DOI: 10.15468/dl.xknf36
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Platystomus albinus (Linnaeus, 1758)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019373-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9tahbf
title: Occurrence Download

description: A dataset containing 30256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Megaptera Gray, 1846",
 "Year 1994-2004"
 ]
}

 The dataset includes 30256 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019374-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3wsnb
title: Occurrence Download

description: A dataset containing 1153 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Anthribus nebulosus J.R.Forster, 1770",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1153 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019376-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sq2aup
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pselaphorhynchites aequatus (Linnaeus, 1767)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019378-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5he86
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Apion aeneum (Fabricius, 1775)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019379-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kuyu2
title: Occurrence Download

description: A dataset containing 287 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Apion fulvipes (Geoffroy, 1785)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 287 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019381-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57703/ce-6b7w2
title: A74

description: The Surface-Topography Challange
DOI: 10.15468/dl.pfbhgw
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Apion apricans Herbst, 1797",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 31 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019382-241007104925546/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.26947508.v1
title: Immune landscape in the glomerular transcriptome of nephrotic syndrome and anca-associated vasculitis

description: ANCA-associated vasculitis (AAV), and nephrotic syndrome encompassing diseases including minimal change disease (MCD), focal and segmental glomerulosclerosis (FSG), membranous nephropathy (MN), remain a challenge due to their varied immunological characteristics. Recent therapeutic advancements have highlighted the importance of understanding these diseases’ immunological landscapes. This study analyzed transcriptomics data from renal glomerular tissues of patients with AAV, FSG, MCD, MN, and normal controls. Utilizing an immune-related gene set of 883 genes, methods including Gene Set Variation Analysis (GSVA), LASSO regression, and Weighted Correlation Network Analysis (WGCNA) were used. Predictions of immune cell compositions were made through CIBERSORT, TIMER, MCPcounter, and quanTIseq algorithms. The study revealed distinct immunogenetic pathways enriched in each disease: hematopoietic cell lineage in ANCA, linoleic acid metabolism in FSG, PPAR signaling in MCD, and drug metabolism in MN. Classifiers based on immune gene expression showed high accuracy (AUC: ANCA 0.812, FSG 0.99, MCD 1, MN 0.888). Co-expression modules and PPI networks highlighted unique pathways for each disease. Predictions of immune cell composition showed elevated macrophages in FSG and MN, with Treg levels elevated across all four diseases compared to normal controls and highest in FSG. Correlation analyses demonstrated significant associations between classifier scores and immune cell types. This study offers accurate classifiers for AAV, FSG, MCD, and MN, and reveals distinct immunological pathways. These findings advance personalized treatments and highlight potential therapeutic targets in AAV and nephrotic syndrome. Further research should validate these results for clinical applications.
DOI: 10.6084/m9.figshare.27210894.v1
title: Current urinalysis practices in Belgian laboratories towards the 2023 EFLM European urinalysis guideline

description: We aimed to investigate routine urinalysis practices in Belgian laboratories and verify these findings against the 2023 European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) European Urinalysis Guideline. A questionnaire was developed to collect information on pre- to postanalytical aspects of urine test strip and particle analysis. The questionnaire was distributed by Sciensano to all Belgian laboratories, licensed to perform urine particle analysis. Sixty-six percent of the Belgian laboratories (75/113) participated. The responding laboratories served physicians in private (25%), hospital (60%) and university hospital (15%) setting. All laboratories performed test strip and particle analysis, predominantly automatically (97% and 96%, respectively). In addition, most laboratories (87%) used intelligent verification criteria to optimize diagnostic accuracy. Almost all laboratories (≥90%) screened and reported a minimal biochemistry panel (glucose, protein, pH, ketones) and particle count (red and white blood cells). Independent of the technology, a notable variability was observed regarding medical cut-off values and advanced particle differentiation and reporting. Internal quality control was extensively performed for urine test strip (91%) and particle analysis (96%), while external QC was less common (32% and 36%, respectively). Consequently, only few laboratories were ISO15189 accredited for urine test strip (15%) and particle analysis (17%). There is considerable variability in current urinalysis performed in Belgian laboratories. The 2023 EFLM urinalysis guideline has the potential to guide clinical laboratories towards improving their urinalysis practices. Additional efforts are required to implement these recommendations into clinical practice in Belgium.
DOI: 10.6084/m9.figshare.26947508
title: Immune landscape in the glomerular transcriptome of nephrotic syndrome and anca-associated vasculitis

description: ANCA-associated vasculitis (AAV), and nephrotic syndrome encompassing diseases including minimal change disease (MCD), focal and segmental glomerulosclerosis (FSG), membranous nephropathy (MN), remain a challenge due to their varied immunological characteristics. Recent therapeutic advancements have highlighted the importance of understanding these diseases’ immunological landscapes. This study analyzed transcriptomics data from renal glomerular tissues of patients with AAV, FSG, MCD, MN, and normal controls. Utilizing an immune-related gene set of 883 genes, methods including Gene Set Variation Analysis (GSVA), LASSO regression, and Weighted Correlation Network Analysis (WGCNA) were used. Predictions of immune cell compositions were made through CIBERSORT, TIMER, MCPcounter, and quanTIseq algorithms. The study revealed distinct immunogenetic pathways enriched in each disease: hematopoietic cell lineage in ANCA, linoleic acid metabolism in FSG, PPAR signaling in MCD, and drug metabolism in MN. Classifiers based on immune gene expression showed high accuracy (AUC: ANCA 0.812, FSG 0.99, MCD 1, MN 0.888). Co-expression modules and PPI networks highlighted unique pathways for each disease. Predictions of immune cell composition showed elevated macrophages in FSG and MN, with Treg levels elevated across all four diseases compared to normal controls and highest in FSG. Correlation analyses demonstrated significant associations between classifier scores and immune cell types. This study offers accurate classifiers for AAV, FSG, MCD, and MN, and reveals distinct immunological pathways. These findings advance personalized treatments and highlight potential therapeutic targets in AAV and nephrotic syndrome. Further research should validate these results for clinical applications.
DOI: 10.6084/m9.figshare.27210894
title: Current urinalysis practices in Belgian laboratories towards the 2023 EFLM European urinalysis guideline

description: We aimed to investigate routine urinalysis practices in Belgian laboratories and verify these findings against the 2023 European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) European Urinalysis Guideline. A questionnaire was developed to collect information on pre- to postanalytical aspects of urine test strip and particle analysis. The questionnaire was distributed by Sciensano to all Belgian laboratories, licensed to perform urine particle analysis. Sixty-six percent of the Belgian laboratories (75/113) participated. The responding laboratories served physicians in private (25%), hospital (60%) and university hospital (15%) setting. All laboratories performed test strip and particle analysis, predominantly automatically (97% and 96%, respectively). In addition, most laboratories (87%) used intelligent verification criteria to optimize diagnostic accuracy. Almost all laboratories (≥90%) screened and reported a minimal biochemistry panel (glucose, protein, pH, ketones) and particle count (red and white blood cells). Independent of the technology, a notable variability was observed regarding medical cut-off values and advanced particle differentiation and reporting. Internal quality control was extensively performed for urine test strip (91%) and particle analysis (96%), while external QC was less common (32% and 36%, respectively). Consequently, only few laboratories were ISO15189 accredited for urine test strip (15%) and particle analysis (17%). There is considerable variability in current urinalysis performed in Belgian laboratories. The 2023 EFLM urinalysis guideline has the potential to guide clinical laboratories towards improving their urinalysis practices. Additional efforts are required to implement these recommendations into clinical practice in Belgium.
DOI: 10.15468/dl.7nfbhh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Apion meieri Desbrochers des Loges, 1901",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019383-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/ktndpw/1go2ji
title: Settembre_1883_Pagina_086.jpg

description: Bulletin of 1883/09/22
DOI: 10.13130/rd_unimi/ktndpw/vadayy
title: Settembre_1883_Pagina_085.jpg

description: Bulletin of 1883/09/22
DOI: 10.13130/rd_unimi/ktndpw/e7lni1
title: Settembre_1883_Pagina_087.jpg

description: Bulletin of 1883/09/22
DOI: 10.13130/rd_unimi/ktndpw/ottw2l
title: Settembre_1883_Pagina_088.jpg

description: Bulletin of 1883/09/22
DOI: 10.13130/rd_unimi/ktndpw/7frx2f
title: Settembre_1883_Pagina_089.jpg

description: Bulletin of 1883/09/23
DOI: 10.13130/rd_unimi/ktndpw/bleogr
title: Settembre_1883_Pagina_090.jpg

description: Bulletin of 1883/09/23
DOI: 10.13130/rd_unimi/ktndpw/h9re3v
title: Settembre_1883_Pagina_091.jpg

description: Bulletin of 1883/09/23
DOI: 10.13130/rd_unimi/ktndpw/2cwrsi
title: Settembre_1883_Pagina_092.jpg

description: Bulletin of 1883/09/23
DOI: 10.13130/rd_unimi/ktndpw/x6n0ik
title: Settembre_1883_Pagina_093.jpg

description: Bulletin of 1883/09/24
DOI: 10.13130/rd_unimi/ktndpw/gyx1uc
title: Settembre_1883_Pagina_094.jpg

description: Bulletin of 1883/09/24
DOI: 10.13130/rd_unimi/ktndpw/8jg3wh
title: Settembre_1883_Pagina_096.jpg

description: Bulletin of 1883/09/24
DOI: 10.13130/rd_unimi/ktndpw/ivxfqs
title: Settembre_1883_Pagina_095.jpg

description: Bulletin of 1883/09/24
DOI: 10.13130/rd_unimi/ktndpw/0zhm1y
title: Settembre_1883_Pagina_097.jpg

description: Bulletin of 1883/09/25
DOI: 10.13130/rd_unimi/ktndpw/l0sy7a
title: Settembre_1883_Pagina_098.jpg

description: Bulletin of 1883/09/25
DOI: 10.13130/rd_unimi/ktndpw/bmabsd
title: Settembre_1883_Pagina_099.jpg

description: Bulletin of 1883/09/25
DOI: 10.13130/rd_unimi/ktndpw/if2cli
title: Settembre_1883_Pagina_100.jpg

description: Bulletin of 1883/09/25
DOI: 10.13130/rd_unimi/ktndpw/icfebx
title: Settembre_1883_Pagina_101.jpg

description: Bulletin of 1883/09/26
DOI: 10.13130/rd_unimi/ktndpw/yybwbj
title: Settembre_1883_Pagina_102.jpg

description: Bulletin of 1883/09/26
DOI: 10.13130/rd_unimi/ktndpw/7kl9ah
title: Settembre_1883_Pagina_103.jpg

description: Bulletin of 1883/09/26
DOI: 10.13130/rd_unimi/ktndpw/nnctx7
title: Settembre_1883_Pagina_104.jpg

description: Bulletin of 1883/09/26
DOI: 10.13130/rd_unimi/ktndpw/b9ur3f
title: Settembre_1883_Pagina_105.jpg

description: Bulletin of 1883/09/27
DOI: 10.13130/rd_unimi/ktndpw/uy1wnu
title: Settembre_1883_Pagina_106.jpg

description: Bulletin of 1883/09/27
DOI: 10.13130/rd_unimi/ktndpw/0tdzkt
title: Settembre_1883_Pagina_107.jpg

description: Bulletin of 1883/09/27
DOI: 10.13130/rd_unimi/ktndpw/5sai7l
title: Settembre_1883_Pagina_108.jpg

description: Bulletin of 1883/09/27
DOI: 10.13130/rd_unimi/ktndpw/r42sos
title: Settembre_1883_Pagina_109.jpg

description: Bulletin of 1883/09/28
DOI: 10.13130/rd_unimi/ktndpw/4ad0vz
title: Settembre_1883_Pagina_110.jpg

description: Bulletin of 1883/09/28
DOI: 10.13130/rd_unimi/ktndpw/ehmunv
title: Settembre_1883_Pagina_112.jpg

description: Bulletin of 1883/09/28
DOI: 10.13130/rd_unimi/ktndpw/yada0r
title: Settembre_1883_Pagina_111.jpg

description: Bulletin of 1883/09/28
DOI: 10.13130/rd_unimi/ktndpw/ixbq24
title: Settembre_1883_Pagina_113.jpg

description: Bulletin of 1883/09/29
DOI: 10.13130/rd_unimi/ktndpw/hwjcc4
title: Settembre_1883_Pagina_114.jpg

description: Bulletin of 1883/09/29
DOI: 10.15468/dl.pza7vj
title: Occurrence Download

description: A dataset containing 1617 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Asplenium rutifolium"
 ]
}

 The dataset includes 1617 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054437-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/ktndpw/lsopgz
title: Settembre_1883_Pagina_116.jpg

description: Bulletin of 1883/09/29
DOI: 10.13130/rd_unimi/ktndpw/udzcoq
title: Settembre_1883_Pagina_115.jpg

description: Bulletin of 1883/09/29
DOI: 10.13130/rd_unimi/ktndpw/rctlrg
title: Settembre_1883_Pagina_117.jpg

description: Bulletin of 1883/09/30
DOI: 10.13130/rd_unimi/ktndpw/uhvt7i
title: Settembre_1883_Pagina_118.jpg

description: Bulletin of 1883/09/30
DOI: 10.13130/rd_unimi/ktndpw/mc7zqm
title: Settembre_1883_Pagina_119.jpg

description: Bulletin of 1883/09/30
DOI: 10.13130/rd_unimi/ktndpw/h2liit
title: Settembre_1883_Pagina_120.jpg

description: Bulletin of 1883/09/30
DOI: 10.5281/zenodo.17946768
title: Tasks and virtual machines dataset for fog computing

description: The task datasets are classified according to priority levels and burst times, while the virtual machine datasets are characterized based on capacity-related parameters. Clustering, load balancing, and proactive fault-tolerance techniques are applied to these datasets to achieve reduced energy consumption, minimized average waiting and turnaround times, and lower failure rates, thereby enhancing overall system reliability.
DOI: 10.5281/zenodo.17946769
title: Tasks and virtual machines dataset for fog computing

description: The task datasets are classified according to priority levels and burst times, while the virtual machine datasets are characterized based on capacity-related parameters. Clustering, load balancing, and proactive fault-tolerance techniques are applied to these datasets to achieve reduced energy consumption, minimized average waiting and turnaround times, and lower failure rates, thereby enhancing overall system reliability.