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670 results for “Influence factors”
Factors influencing open government data post-adoption in the public sector: The perspective of data providers
Providing access to non-confidential government data to the public is one of the initiatives adopted by many governments today to embrace government transparency practices. The initiative of publishing non-confidential government data for the public to use and re-use without restrictions is known as Open Government Data (OGD). Nevertheless, after several years after its inception, the direction of OGD implementation remains uncertain. The extant literature on OGD adoption concentrates primarily on identifying factors influencing adoption decisions. Yet, studies on the underlying factors influencing OGD after the adoption phase are scarce. Based on these issues, this study investigated the post-adoption of OGD in the public sector, particularly the data provider agencies. The OGD post-adoption framework is crafted by anchoring the Technology–Organization–Environment (TOE) framework and the innovation adoption process theory. The data was collected from 266 government agencies in the Malaysian public sector. This study employed the partial least square-structural equation modeling as the statistical technique for factor analysis. The results indicate that two factors from the organizational context (top management support, organizational culture) and two from the technological context (complexity, relative advantage) have a significant contribution to the post-adoption of OGD in the public sector. The contribution of this study is threefold: theoretical, conceptual, and practical. This study contributed theoretically by introducing the post-adoption framework of OGD that comprises the acceptance, routinization, and infusion stages. As the majority of OGD adoption studies conclude their analysis at the adoption (decisions) phase, this study gives novel insight to extend the analysis into unexplored territory, specifically the post-adoption phase. Conceptually, this study presents two new factors in the environmental context to be explored in the OGD adoption study, namely, the data demand and incentives. The fact that data providers are not influenced by data requests from the agency's external environment and incentive offerings is something that needs further investigation. In practicality, the findings of this study are anticipated to assist policymakers in strategizing for long-term OGD implementation from the data provider's perspective. This effort is crucial to ensure that the OGD initiatives will be incorporated into the public sector's service thrust and become one of the digital government services provided to the citizen.
Dataset for manuscript "Host-related and environmental factors influence long-term ectoparasite infestation dynamics of mouse lemurs in northwestern Madagascar" to be published in the American Journal of Primatology
<p>This Excel-file contains three datasets, corresponding to the initial raw dataset resulting from all ectoparasite inspections (n = 2,241), the merged dataset used for host-related and temporal modeling (n = 1940), and the even more condensed dataset with one datapoint per individual used for climatic modeling (n = 583), respectively.</p>
Factors influencing surface carbon contamination in ambient-pressure X-ray photoelectron spectroscopy experiments - Published data
<p>Collection of data used in the publication in title. Data sorted according to figures. Additional data has been acquired, but was not utilized in the publication.</p>
Mitochondrial genome evolution in Annelida: A systematic study on conservative and variable gene orders and the factors influencing its evolution
<p><span>The mitochondrial genomes of Bilateria are relatively conserved in their protein-coding, rRNA and tRNA gene complement, but the order of these genes can range from very conserved to very variable depending on the taxon. The supposedly conserved gene order of Annelida has been used to support the placement of some taxa within Annelida. Recently, authors have cast doubts on the conserved nature of the annelid gene order. Various factors may influence gene-order variability including, among others, increased substitution rates, base composition differences, structure of non-coding regions, parasitism, living in extreme habitats, short generation times and biomineralization. However, these analyses were neither done systematically, nor based on well-established reference trees. Several focused on only a few of these factors and biological factors were usually explored ad-hoc without rigorous testing or correlation analyses. Herein, we investigated the variability and evolution of the annelid gene order and the factors that potentially influenced its evolution, using a comprehensive and systematic approach. The analyses were based on 170 genomes, including 33 previously unrepresented species. Our analyses included 706 different molecular properties, 20 life-history and ecological traits and a reference tree corresponding to recent improvements concerning the annelid tree. The results showed that the gene order with and without tRNAs is generally conserved. However, individual taxa exhibit higher degrees of variability. None of the analyzed life-history and ecological traits explained the observed variability across mitochondrial gene orders. In contrast, the combination and interaction of the best predicting factors for substitution rate and base composition explained up to 30% of the observed variability. Accordingly, correlation analyses of different molecular properties of the mitochondrial genomes showed an intricate network of direct and indirect correlations between the different molecular factors. Hence, gene order evolution seems to be driven by molecular evolutionary aspects rather than by life history or ecology. On the other hand, gene order variability does not predict difficulty in placing certain taxa within molecular phylogenetic studies. We also discuss the molecular properties of annelid mitochondrial genomes considering canonical views on gene evolution and potential reasons why they do not always fit to the observed patterns without nuisance.</span></p>
Development Gateway shisha study qualitative data: Understanding factors influencing Shisha smoking in Nigeria
<p>79 qualitative transcripts from semi-structured interviews conducted across 13 states in Nigeria with either six (for Adamawa, Anambra, Ebonyi, Edo, FCT, Gombe, Kaduna, Kogi, Lagos, Oyo, Plateau and Rivers) or seven (Kano) qualitative transcripts per state. The transcripts are from a study exploring the following questions:</p> <ol> <li>What factors (demographic, social, cultural, behavioural, etc.) are associated with the use of shisha in Nigeria?</li> <li>What are the shisha use patterns and behaviours among those who use shisha in Nigeria?</li> </ol> <p>Respondents were self-reported current shisha users identified from public places that are known to provide spaces for use of shisha such as social clubs, night clubs, bars, pubs, cafes, and restaurants. Study participants had to be at least 18 years old to participate in the study.</p> <p>Topics covered in the interviews include respondent’s history of shisha smoking, perceived benefits from smoking shisha, awareness of health implications of smoking shisha, perceptions towards selected health risks of shisha smoking, use of sundry substances and other risky behaviours, and regulations Laws on shisha use in Nigeria.</p> <p>The data was collected between December 2021 and January 2022</p> <p>Also included with the dataset is the interview guide.</p> <p> </p>
Supplementary dataset and scripts to Bastin et al.: Factors influencing the meridional width of the equatorial deep jets (Ocean Science)
<p>Analysis scripts and data necessary to reproduce the findings of our paper "Factors influencing the meridional width of the equatorial deep jets", Ocean Science.</p>
Data set for the publication " Evaluation of the Accuracy and Frequency Response of Medium-Voltage Instrument Transformers under the Combined Influence Factors of Temperature and Vibration"
<p>This is dataset for paper published:</p> <p>Agazar, M.; Istrate, D.; Pradayrol, P. Evaluation of the Accuracy and Frequency Response of Medium-Voltage Instrument Transformers under the Combined Influence Factors of Temperature and Vibration. <em>Energies</em> <strong>2023</strong>, <em>16</em>, 5012. https://doi.org/10.3390/en16135012</p>
Distribution of heavy metals in coastal sediments under the influence of multiple factors: A case study from the south coast of an industrialized harbor city (Tangshan, China)
<p><span>This research investigated the spatial distribution of heavy metals, including mercury (Hg), cadmium (Cd), copper (Cu), arsenic (As), nickel (Ni), lead (Pb), chromium (Cr), and zinc (Zn), in surface sediments from the coastal area near to an industrial harbor (the Tangshan Harbor, China) with 161 sediment samples. The results showed that the distribution patterns of Cr, Cu, Zn, Ni, and Pb were similar to each other, high in the northwest, southeast, and southwest regions of the study area and low in the northeast region, which corresponded well with components of sedimental sizes. The uncontaminated specimen proportions for Hg, Cd, Cu, As, Ni, Pb, Cr, and Zn were 6.8%, 4.3%, 31.1%, 28.6%, 42.9%, 64.6%, 44.7%, and 50.3%, respectively. Based on principal component analysis (PCA) and positive matrix factorization (PMF), four distinct sources of pollution were quantitatively attributed, including agricultural activities (22.08%), fossil fuel consumption (24.14%), steel production (29.78%), and natural sources (24.00%). Hg (80.29%), Cd (82.31%) and As (65.33%) in the region's coastal sediments were predominantly contributed by fossil fuel, steel production and agricultural</span> <span>sources, respectively. Cr (40.00%), Cu (43.63%), Ni (47.54%), and Zn (38.98%) were primarily of natural lithogenic origin, while Pb mainly came from the mixed sources of agricultural activities (36.63%), fossil fuel (36.86%), and steel production (34.35%). Multiple factors played important roles in the selective transportation of sedimentary heavy metals, especially sediment properties, and hydrodynamic sorting processes in the study area.</span></p>
Geometrical forms and influencing factors of distributive fluvial system
<p>Distributive Fluvial System developed around Sugan Lake Basin is studied by using geographic information software such as Google Earth, Global Mapper and digital elevation model(DEM). The gradient, fan radius,draining basin area and perimeter,the area and perimeter of DFSs around Sugan Lake Basin are analyzed.</p>
Evolution of Endometriosis Lesions Followed by Ultrasound and Quality of Life of Patients: Factors That Influence Disease Progression in a Prospective Cohort
ClinicalTrials.gov study NCT07282990. IPD Sharing: YES. Countries: 1. Publications: 15.
Effect of Risk Factors Likely to Influence Immuno of Combined Hepatitis A & B Vacc vs Monovalent Hepatitis A & B Vacc
ClinicalTrials.gov study NCT00289731. IPD Sharing: YES. Countries: 3. Publications: 1.
Study to Identify Factors Influencing Access of Pregnant Women and Their Infants to Local Healthcare Systems
ClinicalTrials.gov study NCT01734434. IPD Sharing: Not stated. Countries: 4. Publications: 2.
Understanding Parental Stress and Quality of Life in Families of Children With Diplegic Cerebral Palsy: Key Influencing Factors
ClinicalTrials.gov study NCT06516107. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Dynamic Evolution of Pulmonary Nodules and Influence Factors of Its Clinical Decision-making
ClinicalTrials.gov study NCT04857333. IPD Sharing: NO. Countries: 1. Publications: 2.
Data from: Factors influencing nest site selection in a rapidly declining shorebird, the Eurasian curlew
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Data from: Assessing the influence of biotic, abiotic, and social factors on the physiological stress of a large Neotropical primate in Atlantic Forest fragments
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Data from: Differences in subtidal macrobenthic community structures and influencing factors between Jindo and Jeju Islands in South Korea
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Influence of past and current factors on the beta diversity of coastal lagoon fish communities in South America
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Data from: Factors Influencing Productivity of Eastern Wild Turkeys in Northeastern South Dakota
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Data from: Species distribution modeling reveals the influence of climatic and geographic factors on scarab beetle beta diversity along altitudinal gradients
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.