cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13981631
title: PRODUCTIVITY IMPROVEMENT MODELS IN CONSTRUCTION PROJECT MANAGEMENT

description: The relevance of the research topic is due to the increasing complexity of construction projects, stricter requirements for deadlines, quality of work, as well as increased competition in the relevant industry. In the current conditions, traditional management methods often turn out to be ineffective, which leads to deadlines, budget overruns, and a significant decrease in the quality of construction.

The purpose of the study is to analyze and systematize ideas about modern models of productivity improvement in construction project management, as well as to assess their potential impact on key performance indicators of projects. Special attention is paid to the formulation of the author's view of the advantages and limitations of specific models.

The study revealed contradictions between the need to introduce innovative approaches to working with projects and the conservative practices that have developed in the industry. In addition, it is advisable to point out the discrepancy between the pace of development of digital technologies and the speed of their adaptation in the construction sector.

It is concluded that integrated models combining elements of flexible methodologies, digital developments, and Lean approaches are the most effective. The role of digital twins, predictive analytics, and blockchain in improving productivity in this area is particularly emphasized.
DOI: 10.5281/zenodo.13981632
title: PRODUCTIVITY IMPROVEMENT MODELS IN CONSTRUCTION PROJECT MANAGEMENT

description: The relevance of the research topic is due to the increasing complexity of construction projects, stricter requirements for deadlines, quality of work, as well as increased competition in the relevant industry. In the current conditions, traditional management methods often turn out to be ineffective, which leads to deadlines, budget overruns, and a significant decrease in the quality of construction.

The purpose of the study is to analyze and systematize ideas about modern models of productivity improvement in construction project management, as well as to assess their potential impact on key performance indicators of projects. Special attention is paid to the formulation of the author's view of the advantages and limitations of specific models.

The study revealed contradictions between the need to introduce innovative approaches to working with projects and the conservative practices that have developed in the industry. In addition, it is advisable to point out the discrepancy between the pace of development of digital technologies and the speed of their adaptation in the construction sector.

It is concluded that integrated models combining elements of flexible methodologies, digital developments, and Lean approaches are the most effective. The role of digital twins, predictive analytics, and blockchain in improving productivity in this area is particularly emphasized.
DOI: 10.7910/dvn/4nlgyn
title: A11_19236.JPG

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/0ceccb05-e2b1-4e28-809e-bbdab8701693'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/0ceccb05-e2b1-4e28-809e-bbdab8701693
DOI: 10.7910/dvn/qnggeg
title: A11_19238.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/a1f7a1c4-9681-4b5f-862a-ed28fa178b46'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/a1f7a1c4-9681-4b5f-862a-ed28fa178b46
DOI: 10.7910/dvn/srwxww
title: A11_19239.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/55c0c1a6-a94e-4a54-a9d2-dc8cc34c05b2'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/55c0c1a6-a94e-4a54-a9d2-dc8cc34c05b2
DOI: 10.7910/dvn/phnmx2
title: A11_19240.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/87259cad-3b3f-43fc-9836-772afe50b9e0'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/87259cad-3b3f-43fc-9836-772afe50b9e0
DOI: 10.7910/dvn/ww7qy2
title: A11_19241.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/35fb76c5-2644-404a-813d-0df84b3e7951'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/35fb76c5-2644-404a-813d-0df84b3e7951
DOI: 10.7910/dvn/mijzuj
title: A11_19242.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/a1102ae4-a2bc-46a5-b5d0-563be4e26acc'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/a1102ae4-a2bc-46a5-b5d0-563be4e26acc
DOI: 10.15468/dl.gnbm76
title: Occurrence Download

description: A dataset containing 59081 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Boletus edulis Bull."
 ]
}

 The dataset includes 59081 records from 431 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032034-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/hjmmfp
title: A11_19243.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/6c754ae7-425a-44b0-b0c6-a6122d73e36f'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/6c754ae7-425a-44b0-b0c6-a6122d73e36f
DOI: 10.7910/dvn/fhgzmz
title: A11_19244.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/7be31b23-7cfd-4583-a226-6d0bcb14e4da'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/7be31b23-7cfd-4583-a226-6d0bcb14e4da
DOI: 10.7910/dvn/qdugml
title: A11_19245.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/75678f67-e152-4cf3-929f-7d8fe48e7313'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/75678f67-e152-4cf3-929f-7d8fe48e7313
DOI: 10.7910/dvn/fa5vcw
title: A11_19246.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/5d018df1-1264-493c-b207-460f3caaa471'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/5d018df1-1264-493c-b207-460f3caaa471
DOI: 10.7910/dvn/feu236
title: A11_19249.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/cd92f5d4-2f00-4a1f-b387-bae5a68ee8d0'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/cd92f5d4-2f00-4a1f-b387-bae5a68ee8d0
DOI: 10.7910/dvn/86coep
title: A11_19250.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/7194a012-fb1e-4fe3-ba4a-e6084940e6ac'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/7194a012-fb1e-4fe3-ba4a-e6084940e6ac
DOI: 10.7910/dvn/xdcwsg
title: A11_19252.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/1a855b0e-95c4-4739-983f-1a80be353556'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/1a855b0e-95c4-4739-983f-1a80be353556
DOI: 10.7910/dvn/kk79eo
title: A11_19253.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/5db4dc9b-41ce-4af9-9ad1-d9e8a6fef140'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/5db4dc9b-41ce-4af9-9ad1-d9e8a6fef140
DOI: 10.7910/dvn/nijlfl
title: A11_19255.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/cc429f96-f52c-4f33-bf3b-bda96edc9635'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/cc429f96-f52c-4f33-bf3b-bda96edc9635
DOI: 10.7910/dvn/p2erxj
title: A11_19256.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/c84223dc-2f6d-46fe-bbb3-58e816e0c1c8'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/c84223dc-2f6d-46fe-bbb3-58e816e0c1c8
DOI: 10.5281/zenodo.13981643
title: Braunschweig Hagenmarkt Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.7910/dvn/scyxbq
title: A11_19257.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/a36fae91-3fd4-4603-8b65-0531374a138e'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/a36fae91-3fd4-4603-8b65-0531374a138e
DOI: 10.7910/dvn/zhwwou
title: A11_19258.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/8afd4f82-bc71-436d-9068-38788f8b48b7'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/8afd4f82-bc71-436d-9068-38788f8b48b7
DOI: 10.15468/dl.k5tgfv
title: Occurrence Download

description: A dataset listing the 605 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cotoneaster Medik."
 ]
}

 The dataset's 605 records were derived from 1384 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032029-241007104925546/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.28226252
title: Additional file 9 of TRIM8 inhibits porcine epidemic diarrhoea virus replication by targeting and ubiquitinately degrading the nucleocapsid protein

description: Additional file 9. Differentially expressed genes between PEDV-infected TRIM8 overexpression and wild-type groups.
DOI: 10.6084/m9.figshare.28226258
title: Additional file 11 of TRIM8 inhibits porcine epidemic diarrhoea virus replication by targeting and ubiquitinately degrading the nucleocapsid protein

description: Additional file 11. GO annotation for differentially expressed genes between PEDV-infected and uninfected control groups.
DOI: 10.6073/pasta/5c5a384f27891b6f523c47d009995714
title: Monitoring juvenile Chinook salmon outmigration using rotary screw traps on Feather River

description: California Department of Water Resources (DWR) currently operates
 multiple eight-foot rotary screw traps (RSTs) in both the Low Flow
 Channel (LFC) and High Flow Channel (HFC) of the upper 21.5 river
 miles of the Lower Feather River. The LFC extends from the Fish
 Barrier Dam at river mile (RM) 67.2 to the Thermalito Outlet (RM
 59). The HFC extends from the Thermalito Outlet to the confluence
 with the Sacramento River. This survey has been ongoing since 1997
 with the objective of documenting general salmonid emigration
 attributes, such as timing, abundance and composition of salmon and
 investigating the influence of environmental factors thought to
 initiate emigration, such as flow, turbidity and water temperature.
 Data from this monitoring will also be used to inform the
 development of a juvenile production estimate (JPE) for spring-run
 Chinook salmon in the Sacramento River Watershed as required by
 Incidental Take Permit No. 2081-2019-006-00 issued by CA Department
 of Fish and Wildlife (CDFW) to DWR for the long-term operation of
 the State Water Project. Data within the current year’s monitoring
 season are considered provisional.
DOI: 10.6084/m9.figshare.28225544
title: <b>S4 Table </b><b>SNP</b><b> </b><b>calling</b><b> </b><b>score</b><b> </b><b>from individual sequencing data.</b><b> </b><b>score</b><b> </b><b>from individual sequencing data</b>

description: <i>Bromus auleticus</i>, a valuable forage grass native to the Pampa biome, is currently suffering genetic erosion. Therefore, it is central to assess the appropriate methodologies for developing population genomic studies and contributing to the conservation of this plant genetic resource. This study evaluated five accessions using two genotyping strategies: individual sequencing (ind-seq) and pooled sequencing (pool-seq). To compare their efficacy, was investigated the correlation between allele frequencies calculated using each approach. Geneticdiversity and population structure were also analyzed using both methods. These comparisons explicitly accounted for the potential effects of one or more of the following parameters: sample size, missing data, sequencing depth, and minor allele frequencies. Notably, the highest concordance and percentage of common SNPs between ind-seq and pool-seq was achieved using 30 to 60 plants per accession, with a maximum missing data threshold of 10% and a more tolerant minimum allele frequency threshold for pool-seq (0.01) compared to ind-seq (0.05). Reaching maximum similarity in allele frequencies also required a higher sequencing depth for pool-seq (4.8 million reads-Mr) than for ind-seq (0.9 Mr). Pools of 50 individuals yielded the highest number of polymorphic sites, averaging over 9,000 across all accessions at a sequencing depth of 4.8 Mr. Under these conditions, pool-seq consistently yielded a means across all accessions of 0.09 higher expected heterozygosity and 0.24 lower allelic richness compared to ind-seq across all accessions. The population structure detected with both methodologies showed agreement, aligning with the outcrossing nature of <i>B. auleticus</i> and the geographical origin of each accession. The average inbreeding coefficient of 0.2 indicates signs of inbreeding, highlighting the importance of conservation efforts of this valuable plant genetic resource. Based on these findings, two workflows were proposed to carry out population genomics studies of <i>Bromus auleticus</i>.
DOI: 10.6084/m9.figshare.28225544.v1
title: <b>SNP calling</b><b> </b><b>score</b><b> </b><b>from individual sequencing data</b>

description: <i>Bromus auleticus</i>, a valuable forage grass native to the Pampa biome, is currently suffering genetic erosion. Therefore, it is central to assess the appropriate methodologies for developing population genomic studies and contributing to the conservation of this plant genetic resource. This study evaluated five accessions using two genotyping strategies: individual sequencing (ind-seq) and pooled sequencing (pool-seq). To compare their efficacy, was investigated the correlation between allele frequencies calculated using each approach. Geneticdiversity and population structure were also analyzed using both methods. These comparisons explicitly accounted for the potential effects of one or more of the following parameters: sample size, missing data, sequencing depth, and minor allele frequencies. Notably, the highest concordance and percentage of common SNPs between ind-seq and pool-seq was achieved using 30 to 60 plants per accession, with a maximum missing data threshold of 10% and a more tolerant minimum allele frequency threshold for pool-seq (0.01) compared to ind-seq (0.05). Reaching maximum similarity in allele frequencies also required a higher sequencing depth for pool-seq (4.8 million reads-Mr) than for ind-seq (0.9 Mr). Pools of 50 individuals yielded the highest number of polymorphic sites, averaging over 9,000 across all accessions at a sequencing depth of 4.8 Mr. Under these conditions, pool-seq consistently yielded a means across all accessions of 0.09 higher expected heterozygosity and 0.24 lower allelic richness compared to ind-seq across all accessions. The population structure detected with both methodologies showed agreement, aligning with the outcrossing nature of <i>B. auleticus</i> and the geographical origin of each accession. The average inbreeding coefficient of 0.2 indicates signs of inbreeding, highlighting the importance of conservation efforts of this valuable plant genetic resource. Based on these findings, two workflows were proposed to carry out population genomics studies of <i>Bromus auleticus</i>.
DOI: 10.6084/m9.figshare.28226270
title: Additional file 15 of TRIM8 inhibits porcine epidemic diarrhoea virus replication by targeting and ubiquitinately degrading the nucleocapsid protein

description: Additional file 15. GO annotation for the intersected differentially expressed genes between different groups.
DOI: 10.6084/m9.figshare.28226264.v1
title: Additional file 13 of TRIM8 inhibits porcine epidemic diarrhoea virus replication by targeting and ubiquitinately degrading the nucleocapsid protein

description: Additional file 13. GO annotation for differentially expressed genes between PEDV-infected TRIM8 overexpression and wild-type groups.
DOI: 10.5281/zenodo.14676403
title: US Semiconductor Adhesives Market 2024 To 2033

description: US Semiconductor Adhesives Market Size, Trends and Insights By Application (Die Attach Adhesives, Surface Mount Adhesives, Wafer Bonding Adhesives, Encapsulation and Potting Adhesives), By Product Type (Electrically Conductive Adhesives, Thermally Conductive Adhesives, UV Curing Adhesives, Epoxy-based Adhesives), By Technology (Solvent-based Adhesives, Hot Melt Adhesives, Radiation-curable Adhesives), By End-use Industry (Consumer Electronics, Automotive Electronics, Industrial Electronics, Telecommunications), By Material Composition (Epoxy, Acrylic, Silicone, Polyurethane), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the US Semiconductor Adhesives Market is expected to record a CAGR of 6.2% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 1.49 Billion. By 2033, the valuation is anticipated to reach USD 2.67 Billion.

The U.S. semiconductor adhesives market is growing due to technological advancements and high demand in various sectors. The growth of consumer electronics and electric vehicles increases the demand for high-performance adhesives in the semiconductor industry.

High-performance adhesives are necessary to ensure electronic devices’ efficient and reliable functioning. The key trend in the market revolves around developing innovative adhesive solutions to improve thermal management and durability in electronic devices.

The rapid growth in smart devices and related digital technologies is also generating demand for advanced adhesives. Furthermore, leading firms have started forming partnerships, acquiring other businesses, and accelerating their product development or market presence.

Investment in medical device manufacturing is also helping the sector grow. The devices must meet safety and performance standards. Additionally, growing environmental awareness is compelling manufacturers to create more eco-friendly adhesives that support sustainability initiatives worldwide.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=60652
DOI: 10.5281/zenodo.14676404
title: US Semiconductor Adhesives Market 2024 To 2033

description: US Semiconductor Adhesives Market Size, Trends and Insights By Application (Die Attach Adhesives, Surface Mount Adhesives, Wafer Bonding Adhesives, Encapsulation and Potting Adhesives), By Product Type (Electrically Conductive Adhesives, Thermally Conductive Adhesives, UV Curing Adhesives, Epoxy-based Adhesives), By Technology (Solvent-based Adhesives, Hot Melt Adhesives, Radiation-curable Adhesives), By End-use Industry (Consumer Electronics, Automotive Electronics, Industrial Electronics, Telecommunications), By Material Composition (Epoxy, Acrylic, Silicone, Polyurethane), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the US Semiconductor Adhesives Market is expected to record a CAGR of 6.2% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 1.49 Billion. By 2033, the valuation is anticipated to reach USD 2.67 Billion.

The U.S. semiconductor adhesives market is growing due to technological advancements and high demand in various sectors. The growth of consumer electronics and electric vehicles increases the demand for high-performance adhesives in the semiconductor industry.

High-performance adhesives are necessary to ensure electronic devices’ efficient and reliable functioning. The key trend in the market revolves around developing innovative adhesive solutions to improve thermal management and durability in electronic devices.

The rapid growth in smart devices and related digital technologies is also generating demand for advanced adhesives. Furthermore, leading firms have started forming partnerships, acquiring other businesses, and accelerating their product development or market presence.

Investment in medical device manufacturing is also helping the sector grow. The devices must meet safety and performance standards. Additionally, growing environmental awareness is compelling manufacturers to create more eco-friendly adhesives that support sustainability initiatives worldwide.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=60652
DOI: 10.6084/m9.figshare.28226165.v1
title: Additional file 2 of Medwakh smoking induces alterations in salivary proteins and cytokine expression: a clinical exploratory proteomics investigation

description: Supplementary Material 2: Table S1: Protein identification table generated by Maxquant
DOI: 10.6084/m9.figshare.28226215
title: Additional file 3 of Designing an intervention to improve cognitive evaluations in primary care

description: Additional file 3. CFIR-ERIC Mapping; this file contains the output of the CFIR-ERIC matching tool for this study.
DOI: 10.6084/m9.figshare.28226261.v1
title: Additional file 12 of TRIM8 inhibits porcine epidemic diarrhoea virus replication by targeting and ubiquitinately degrading the nucleocapsid protein

description: Additional file 12. KEGG enrichment for differentially expressed genes between PEDV-infected and uninfected control groups.
DOI: 10.6084/m9.figshare.28226249.v1
title: Additional file 8 of TRIM8 inhibits porcine epidemic diarrhoea virus replication by targeting and ubiquitinately degrading the nucleocapsid protein

description: Additional file 8. Differentially expressed genes between PEDV-infected and uninfected control groups.
DOI: 10.6084/m9.figshare.28226252.v1
title: Additional file 9 of TRIM8 inhibits porcine epidemic diarrhoea virus replication by targeting and ubiquitinately degrading the nucleocapsid protein

description: Additional file 9. Differentially expressed genes between PEDV-infected TRIM8 overexpression and wild-type groups.
DOI: 10.15468/dl.6sc3uq
title: Occurrence Download

description: A dataset containing 133067811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "Year 2023-2023"
 ]
}

 The dataset includes 133067811 records from 433 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073463-241126133413365/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.28226267
title: Additional file 14 of TRIM8 inhibits porcine epidemic diarrhoea virus replication by targeting and ubiquitinately degrading the nucleocapsid protein

description: Additional file 14. KEGG enrichment for differentially expressed genes between PEDV-infected TRIM8 overexpression and wild-type groups.
DOI: 10.6084/m9.figshare.28226261
title: Additional file 12 of TRIM8 inhibits porcine epidemic diarrhoea virus replication by targeting and ubiquitinately degrading the nucleocapsid protein

description: Additional file 12. KEGG enrichment for differentially expressed genes between PEDV-infected and uninfected control groups.
DOI: 10.6084/m9.figshare.28226270.v1
title: Additional file 15 of TRIM8 inhibits porcine epidemic diarrhoea virus replication by targeting and ubiquitinately degrading the nucleocapsid protein

description: Additional file 15. GO annotation for the intersected differentially expressed genes between different groups.