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143 results for “constructive modeling”
PRODUCTIVITY IMPROVEMENT MODELS IN CONSTRUCTION PROJECT MANAGEMENT
<p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p>
Code and initial metapopulation data for model construction and simulation analyses for: Genetic rescue from protected areas is modulated by migration, hunting rate and timing of harvest
<p>Migrants from protected areas may buffer the risk of harvest-induced evolutionary changes in exploited populations that face strong selective harvest pressures in both terrestrial and marine ecosystems. Understanding the mechanisms favouring genetic rescue through migration could help ensure sustainable harvest outside protected areas and conserve genetic diversity inside those areas. We developed a stochastic individual-based metapopulation model to evaluate the potential for migration from protected areas to mitigate the evolutionary consequences of selective harvest. We parameterized the model with detailed data from individual monitoring of two populations of bighorn sheep subjected to trophy hunting. We tracked horn length through time in a metapopulation including large protected and trophy-hunted populations connected through male breeding migrations. We quantified and compared declines in horn length and rescue potential under various combinations of migration rate, hunting rate in hunted areas and temporal overlap in timing of harvest and migrations, which affects the migrants' survival and chances to breed within exploited areas. Our simulations suggest that the effects of size-selective harvest on male horn length in hunted populations can be dampened or avoided if harvest pressure is low, migration rate is substantial, and migrants have a low risk of being shot. Intense size-selective harvest impacts the phenotypic and genetic diversity in horn length, and population structure through changes in proportions of large-horned males, sex ratio and age structure. When hunting pressure is high and overlaps with male migrations, effects of selective removal also emerge in the protected population, so that instead of a genetic rescue of hunted populations, our model predicts undesirable effects inside protected areas. Our results stress the importance of a metapopulational approach to management, to promote genetic rescue from protected areas and limit ecological and evolutionary impacts of harvest on both harvested and protected populations.</p>
Code and initial metapopulation data for model construction and simulation analyses for: Genetic rescue from protected areas is modulated by migration, hunting rate and timing of harvest
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Model for String Construction of Ellipsoids
* This white plaster model shows an ellipsoid and a hyperboloid. The visible part of the ellipsoid is the thickening around the hyperboloid. There are thin metal rods extending from the lower right and the underside of the upper left. The model was manufactured by the Darmstadt publishing company of Ludwig Brill. The model is listed in Brill's 1892 catalog as "Model of Staude's string construction of the ellipse from two confocal second order surfaces." * Гисовая модель изображает эллипсоид и гиперболоид. Видимая часть эллипсоида - утолщение вокруг гиперболоида. Из поверхности выступают два тонких металлических стержня с проушинами на концах, предназначенные для натягивания нити вокруг модели. Присутствует бирка (Modelle fur Fadenconstructionen des Ellipsoids. Verl. v. L. Brill. 10. Ser. 1. Nachtr. Nr. 2b.), которая позволяет предположить, что модель была изготовлена дармштадтским издательством Людвига Брилла под руководством немецкого математика Отто Штауде. * *(метка Р67)* Source: Objaverse 1.0 / Sketchfab
Data from: Genetic susceptibility, Mendelian randomization and nomogram model construction of gestational diabetes mellitus
<p>The dataset contains subjects' basic information, including the Identification number of the test sample, fasting plasma glucose (FPG), oral glucose tolerance test 1h plasma glucose (1hPG), oral glucose tolerance test 2h plasma glucose (2hPG), glycated hemoglobin (HbA1c), Systolic blood pressure (SBP), Diastolic blood pressure (DBP), triglyceride (TG), total cholesterol (TC), High-density lipoprotein cholesterol (HDL-c), Low-density lipoprotein cholesterol (LDL-c), and also involves subjects' genetic variant information used for analysis of the association of functional polymorphisms and GDM. The variables including SBP_M, DBP_M, FPG_M, 1hPG_M, 2hPG_M, HbA1c_M, TG_M represent the mean value of SBP, DBP, FPG, 1hPG, 2hPG, HbA1c, TG, which are used for the stratification analysis. This study has obtained the support from the Ethics Committee of Guilin Medical University. All included subjects signed the informed consent.</p>
A literature-based business process meta-model: construction and ontological clarifications
<h1><strong>A literature-based business process meta-model: construction and ontological clarifications</strong></h1> <div> <div> <div> <h3>Greta Adamo, Chiara Di Francescomarino, Chiara Ghidini</h3> </div> </div> </div> <p>This folder contains all the relevant additional documents that have been produced and analysed for this work, e.g. sources, evaluation criteria, and tables, and that have not been included in the paper for a reason of space.</p> <p> </p>
Data to support plankton model construction
<p>This work provides a database of references supportive of modelling targeted at developing plankton digital twins.</p> <p>The database, containing over 120 entries, can be explored using multi-level sort functions. </p> <p>Additional contributions are welcome, and the published database will be re-published to make such additions available on open access.</p>
Constructing stable 3D hydrodynamical models of giant stars
<p>MESA inlist associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017A&A...599A...5O">Ohlmann et al. (2017)</a>. MESA version 6208.</p> <p>Publication DOI: <a href="https://doi.org/10.1051/0004-6361/201629692">10.1051/0004-6361/201629692</a></p>
Supplementary Data for "A framework for the construction of generative models for mesoscale structure in multilayer networks"
<p>Supplementary Data for "A framework for the construction of generative models for mesoscale structure in multilayer networks"</p>
Construction of an evapotranspiration model and analysis of spatiotemporal variation in Xilin River Basin, China
<p>The publication for this dataset will be published in plos one journal, and can be accessed here:https://doi.org/10.1371/journal.pone.0256981. Please cite this when using the dataset.</p>
Supporting Information for the Journal Article "Automated Construction of Quantum–Classical Hybrid Models"
<p>This dataset contains the supporting information published together with the article "Automated Construction of Quantum–Classical Hybrid Models" (<a href="https://doi.org/10.1021/acs.jctc.1c00178"><em>J. Chem. Theory Comput.</em>, <strong>2022</strong>, <em>17</em>, 3797</a>).</p>
Constructing a 3-D radially anisotropic crustal velocity model for Oklahoma by using full waveform inversion
<p>The OK3D_Vp_Ani.csv and OK3D_Vs_Ani.csv is inverted 3-D compressive and shear velocity model proposed in the publication.</p> <p>Each file contains horizontally and vertically polarized velocity components and their relative perturbation with respect to the averaged 1-D velocity profile, as well as the RA defined in the paper, at each location (longitude, latitude, depth).</p> <p>These two files are stored in CSV format, and can be easily readed by pandas module in python environment.</p>
Construction of a Predictive Model of Gangrenous Cholecystitis Based on Machine Learning
ClinicalTrials.gov study NCT06399081. IPD Sharing: NO. Countries: 1. Publications: 3.
Constructing a Model to Identify Markets for Rooftop Solar on Multifamily Housing
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The construction of small-scale, quasi-mechanistic spatial models of insect energetics in habitat restoration: a case study of beetles in Western Australia
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Data from: Genetic susceptibility, Mendelian randomization and nomogram model construction of gestational diabetes mellitus
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Data from: Biomechanical evaluation of peak reverse torque (PRT) in a dynamic compression plate-screw construct used in a goat tibia segmental defect model
Background Peak reverse torque (PRT) is a valid method to evaluate implants' secondary stability in the healing bone. The secondary stability is achieved by the implant over time and it has been positively correlated with the implants' osseointegration level. In other words, peak reverse torque is the force required to break the bone-implant interface. The purpose of this study was to compare the peak reverse torque for the self-tapping and non-self-tapping screws used in a dynamic compression plate–screw–bone construct after 60 days of loading when used to stabilize 2.5-cm defects in the tibia of goats. The second objective was to compare the peak removal torque of the screws placed in the different positions to evaluate the impact of construct biomechanics on implants osseointegration. Results In total, 176 non-self-tapping screws and 66 self-tapping screws were used to fix the 8-holes dynamic compression plates to the bones. The screws were placed in the tibiae from proximal (position sites 1,2, 3) to distal (position sites 4,5,6) and were removed 60 days post-implantation. The animals remained weight-bearing throughout the study period. The screws placed in the proximal diaphysis had significantly less peak reverse torque than screws placed in the distal diaphysis in both groups (p < 0.05). The peak reverse torque resistance was also significantly less for the non-self-tapping screws as compared with the self-tapping screws (p < 0.05). The intracortical fractures in the trans-cortex occurred significantly more frequently during the placement of non-self-tapping screws (p < 0.05) as compared with self-tapping screws (p < 0.05). Conclusions Based on these results, we concluded that self-tapping screws may be expected to maintain a more stable bone-implant interface during the first 60 days of loading as compared with non-self-tapping screws. This should be a consideration for orthopedic surgeons and scientists using bone plates to stabilize non-load sharing fractures when a stable plate-screw-bone interface is needed to ensure prolonged stability.
Supplementary Material for "Cost-Efficient Construction of Performance Models"
<p><strong>Overview</strong></p> <p>The main contribution of the paper is a novel approach to ease the performance modeling process by introducing a pre-processing step that automatically determines performance-irrelevant configuration options and removes them from the remaining modeling process. We show that our identification process can accurately identify performance-irrelevant options using Pace3D, a multi-physics simulation, as case study. </p> <p>As Pace3D is proprietary software to which we are granted access to, we cannot provide an executable. Therefore, it is not possible to repeat measurements of the software. We do, however, provide our collected measurement data, including logs of our conducted experiments and inputs used, as well as performance models created. The measurement data can be used to reproduce the learning of models using DECART. Furthermore, the evaluation data shows the runtime difference between configurations. </p> <p>DECART is available for download here: https://github.com/jmguo/DECART/</p> <p><strong>Structure</strong></p> <p>- training-data: Input configurations and measurement data used for training models.<br>- models: DECART models.<br>- evaluation-data: Input configurations and measurement data for evaluating the models.<br>- questionnaire: Filled questionnare by the Pace3D developer.</p>
Data from: A statistical mechanics framework for constructing non-equilibrium thermodynamic models
<p><span>Far-from-equilibrium phenomena are critical to all natural and engi</span><span>neered systems, and essential to biological processes responsible </span><span>for life. For over a century and a half, since Carnot, Clausius, Maxwell, </span><span>Boltzmann, and Gibbs, among many others, laid the foundation for </span><span>our understanding of equilibrium processes, scientists and engineers </span><span>have dreamed of an analogous treatment of non-equilibrium systems. </span><span>But despite tremendous efforts, a universal theory of non-equilibrium </span><span>behavior akin to equilibrium statistical mechanics and thermodynam</span><span>ics has evaded description. Several methodologies have proved their </span><span>ability to accurately describe complex non-equilibrium systems at </span><span>the macroscopic scale, but their accuracy and predictive capacity is </span><span>predicated on either phenomenological kinetic equations fit to mi</span><span>croscopic data, or on running concurrent simulations at the particle </span><span>level. Instead, we provide a framework for deriving stand-alone macro</span><span>scopic thermodynamics models directly from microscopic physics </span><span>without fitting in overdamped Langevin systems.</span> <span>The only neces</span><span>sary ingredient is a functional form for a parameterized, approximate </span><span>density of states, in analogy to the assumption of a uniform density </span><span>of states in the equilibrium microcanonical ensemble. We highlight </span><span>this framework's effectiveness by deriving analytical approximations </span><span>for evolving mechanical and thermodynamic quantities in a model of </span><span>coiled-coil proteins and double stranded DNA, thus producing, to the </span><span>authors' knowledge, the first derivation of the governing equations for </span><span>a phase propagating system under general loading conditions without </span><span>appeal to phenomenology. The generality of our treatment allows </span><span>for application to any system described by Langevin dynamics with </span><span>arbitrary interaction energies and external driving, including colloidal </span><span>macromolecules, hydrogels, and biopolymers.</span></p>
Plasmid database (Gradient Boosting model construction)
<p>Plasmid database used for the training and testing of the Gradient Boosting model. Plasmids present in the samples used for this step were removed from the database.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.