Journal articles: 'Comparison assessment models'

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Gibson, Gavin J., George Streftaris, and David Thong. "Comparison and Assessment of Epidemic Models." Statistical Science 33, no. 1 (February 2018): 19–33. http://dx.doi.org/10.1214/17-sts615.

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Cristescu, Marian Pompiliu, Eduard Alexandru Stoica, and Laurenţiu Vasile Ciovică. "The Comparison of Software Reliability Assessment Models." Procedia Economics and Finance 27 (2015): 669–75. http://dx.doi.org/10.1016/s2212-5671(15)01047-3.

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Shinn, Mark R., Sylvia Rosenfield, and Nancy Knutson. "Curriculum-Based Assessment: A Comparison of Models." School Psychology Review 18, no. 3 (September 1, 1989): 299–316. http://dx.doi.org/10.1080/02796015.1989.12085428.

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Vaššová, D. "Comparison of rainfall-runoff models for design discharge assessment in a small ungauged catchment." Soil and Water Research 8, No. 1 (February 6, 2013): 26–33. http://dx.doi.org/10.17221/36/2012-swr.

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Design discharges in a small experimental catchment in Žaro&scaron;ice (Czech Republic) were evaluated using various methods for peak discharge assessment applying 24-h storm rainfalls reduced to short duration. Rainfall-runoff models HEC-HMS based on standard Natural Resources Conservation Service hydrologic methods and KINFIL, which combines the Morel-Seytoux infiltration and kinematic wave direct runoff transformation, were used to compute runoff hydrographs. The approach of technical standard and Froehlich’s method determined the peak discharges only. The aim of this study was to assess the ability of these methods to predict design peak discharge in comparison with the data obtained from the Czech Hydrometeorological Institute (CHMI), which is the authority for providing hydrological data in the Czech Republic. The results demonstrate that the peak discharges computed by Froehlich’s method are mostly closest to the data provided by CHMI. For the 100-year flood, HEC-HMS based on the Curve Number method showed the best agreement.

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Baleva, Milena V. "SELF AND OTHER: ASSESSMENT AND SOCIAL COMPARISON MODELS." RSUH/RGGU Bulletin. Series Psychology. Pedagogics. Education, no. 1 (2020): 54–76. http://dx.doi.org/10.28995/2073-6398-2020-1-54-76.

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Floros, Georgios D., Ariadni Stogiannidou, Ioannis Giouzepas, and Georgios D. Garyfallos. "Comparison of Alternate Personality Models in Psychopathology Assessment." Psychological Reports 115, no. 2 (October 2014): 499–514. http://dx.doi.org/10.2466/02.03.pr0.115c21z0.

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This study assessed the results from the parallel application of two alternate personality models, the Zuckerman-Kuhlman trait model and Bond's Defense Styles, in a sample of 268 Greek medical students (172 women, M age = 22.0 yr., SD = 1.1; 95 men, M age = 22.3 yr., SD = 1.2) in relation to psychopathological symptoms, so as to clarify whether this practice yielded accurate results while avoiding shared variance. Data from both models are cross-checked with canonical correlation analysis to validate whether there was significant conceptual overlap between them that would mean that their parallel use is an ineffective research practice. Following this analysis, factors from both models are utilized to predict variance in sample psychopathology, so as to compare their relative usefulness. Results indicated that the two models did not share a significant amount of variance, while a combination of personality aspects from both models, including Impulsive Sensation-Seeking, Neuroticism-Anxiety, Aggression-Hostility, and Sociability traits and Maladaptive Action, Image Distorting, and Adaptive Action defense styles, predicted high variance in psychopathology symptoms.

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Panchal, S., M. Ennis, H. Yee, V. Contiga, and L. J. Bordeleau. "A comparison of BRCA1 and BRCA2 risk assessment models." Journal of Clinical Oncology 24, no. 18_suppl (June 20, 2006): 10034. http://dx.doi.org/10.1200/jco.2006.24.18_suppl.10034.

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10034 Background: A number of models of varying complexity are available to calculate the risk of carrying a BRCA1 or BRCA2 mutation causing hereditary breast and ovarian cancer. A >10% risk of carrying a BRCA1 or BRCA2 mutation is commonly used to establish testing eligibility in North America (testing threshold). We have compared these risk assessment models to ascertain their utility in patients from a large breast cancer program in our tertiary referral center. Methods: Risk assessment calculations were performed using the BRCAPRO, Myriad, Manchester, and UPennII models for all new probands referred to our clinic at Mount Sinai Hospital, Toronto (Canada), between May and October 2005. Individuals with a known familial mutation were excluded. Pearson correlation coefficients and pairwise scatterplots were performed for each pair of models. Regression analyses were developed to explore how well the BRCAPRO model can be predicted by other models. Results: 103 probands were included in our analyses (97% female, mean age: 50 yrs, 22% of Ashkenazi Jewish descent, 52.4% affected with breast cancer, 67% with ≥ one 1st degree relative affected with breast or ovarian cancer). The proportion of probands meeting the testing threshold based on each model was: BRCAPRO (34.0%), Myriad (33.0%), Manchester (55.3%), and UPennII (46.6%). Correlations calculated for each pair of models were large (range: 0.48–0.86). In comparing two of the most clinically relevant models (BRCAPRO and UPennII), the proportion of probands meeting the testing threshold was significantly higher using the UPennII model (p=0.0036). Between these two models, a higher correlation was observed for BRCA1 than for BRCA2 (R=0.76, R=0.58, respectively). The UPennII model was the strongest univariate predictor of the BRCAPRO results. Conclusions: All risk assessment models predicted a substantial proportion of patients referred to our clinic to be eligible for testing (≥ 33% of probands). A significantly higher proportion of probands were eligible for testing when using the UPennII model compared to the BRCAPRO model. This difference is in part due to the differential inclusion of prostate/pancreatic cancers and of third degree relatives with cancer in these models. An exploration of the sensitivity and specificity of these models will be presented. No significant financial relationships to disclose.

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de Ruiter, Marleen C., Philip J. Ward, James E. Daniell, and Jeroen C. J. H. Aerts. "Review Article: A comparison of flood and earthquake vulnerability assessment indicators." Natural Hazards and Earth System Sciences 17, no. 7 (July 20, 2017): 1231–51. http://dx.doi.org/10.5194/nhess-17-1231-2017.

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Abstract. In a cross-disciplinary study, we carried out an extensive literature review to increase understanding of vulnerability indicators used in the disciplines of earthquake- and flood vulnerability assessments. We provide insights into potential improvements in both fields by identifying and comparing quantitative vulnerability indicators grouped into physical and social categories. Next, a selection of index- and curve-based vulnerability models that use these indicators are described, comparing several characteristics such as temporal and spatial aspects. Earthquake vulnerability methods traditionally have a strong focus on object-based physical attributes used in vulnerability curve-based models, while flood vulnerability studies focus more on indicators applied to aggregated land-use classes in curve-based models. In assessing the differences and similarities between indicators used in earthquake and flood vulnerability models, we only include models that separately assess either of the two hazard types. Flood vulnerability studies could be improved using approaches from earthquake studies, such as developing object-based physical vulnerability curve assessments and incorporating time-of-the-day-based building occupation patterns. Likewise, earthquake assessments could learn from flood studies by refining their selection of social vulnerability indicators. Based on the lessons obtained in this study, we recommend future studies for exploring risk assessment methodologies across different hazard types.

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Zhang, Juan, James F. Campbell, Donald C. Sweeney II, and Andrea C. Hupman. "Energy consumption models for delivery drones: A comparison and assessment." Transportation Research Part D: Transport and Environment 90 (January 2021): 102668. http://dx.doi.org/10.1016/j.trd.2020.102668.

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Goineau, Sonia, and Vincent Castagné. "Comparison of three preclinical models for nausea and vomiting assessment." Journal of Pharmacological and Toxicological Methods 82 (November 2016): 45–53. http://dx.doi.org/10.1016/j.vascn.2016.07.006.

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Crispino, Gaetano, Corrado Gisonni, and Michele Iervolino. "Flood hazard assessment: comparison of 1D and 2D hydraulic models." International Journal of River Basin Management 13, no. 2 (June 25, 2014): 153–66. http://dx.doi.org/10.1080/15715124.2014.928304.

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Radanović, Marko, and Tomislav Bašić. "Accuracy assessment and comparison of interpolation methods on geoid models." Geodetski vestnik 62, no. 01 (2018): 68–78. http://dx.doi.org/10.15292/geodetski-vestnik.2018.01.68-78.

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Tassin, Alan, Nicolas Jacques, Aboulghit El Malki Alaoui, Alain Nême, and Bruno Leblé. "Assessment and Comparison of Several Analytical Models of Water Impact." International Journal of Multiphysics 4, no. 2 (July 2010): 125–40. http://dx.doi.org/10.1260/1750-9548.4.2.125.

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Fremes, Stephen E., Robert D. Furukawa, Ren-Ke Li, Richard D. Weisel, Donald A. G. Mickle, and Laura C. Tumiati. "Comparison of two experimental models for assessment of cardiac preservation." Annals of Thoracic Surgery 55, no. 1 (January 1993): 144–50. http://dx.doi.org/10.1016/0003-4975(93)90492-z.

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Seemann, Marcus D., Martin Heuschmid, Joachim Vollmar, Axel Küttner, Wolfgang Schöber, Jürgen F. Schäfer, Michael Bitzer, and Claus D. Claussen. "Virtual Bronchoscopy: Comparison of Different Surface Rendering Models." Technology in Cancer Research & Treatment 2, no. 3 (June 2003): 273–79. http://dx.doi.org/10.1177/153303460300200310.

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The aim of this study was to compare different representation models of surface-rendered virtual bronchoscopy. 10 consecutive patients with inoperable primary lung tumors underwent thin-section spiral computed tomography. The structures of interest, the tracheobronchial system and anatomical and pathological thoracic structures were segmented using an interactive threshold interval volume-growing segmentation algorithm and visualized with the aid of a color-coded surface rendering method. For virtual bronchoscopy, the tracheobronchial system was visualized using a triangle-surface rendering model, a shaded-surface rendering model and a transparent shaded-surface rendering model. The triangle-surface rendering model allowed optimum detailed spatial representation of the dimensions of extraluminal anatomical and pathological mediastinal structures. As the lumen of the tracheobronchial system was less well defined, the rendering model was of limited use for depiction of the airway surface. The shaded-surface rendering model facilitated an optimum assessment of the airway surface, but the mediastinal structures could not be depicted. The transparent shaded-surface rendering model provides simultaneous adequate to optimum visualization and assessment of the intraluminal airway surface and the extraluminal mediastinal structures as well as a quantitative assessment of the spatial relationship between these structures. Fast data acquisition with a multi-slice detector spiral computed tomography scanner and the use of virtual bronchoscopy with the transparent shaded-surface rendering model obviate the need for time consuming detailed analysis and presentation of axial source images by providing improved the diagnostic imaging of endotracheal and endobronchial diseases and offering a useful alternative to fiberoptic bronchoscopy.

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Gucma, Stanisław. "The Width of a Fairway - Comparison of Models." Journal of Konbin 13, no. 1 (January 1, 2010): 177–86. http://dx.doi.org/10.2478/v10040-008-0146-z.

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The Width of a Fairway - Comparison of Models This article presents probabilistic and deterministic methods of safe waterway width assessment. The models were used to obtain optimal parameters of different type waterways. An analysis of results will be conducted to determine possible applications of the proposed methods.

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Wirth, Joachim, and Detlev Leutner. "Self-Regulated Learning as a Competence." Zeitschrift für Psychologie / Journal of Psychology 216, no. 2 (January 2008): 102–10. http://dx.doi.org/10.1027/0044-3409.216.2.102.

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Lively research on self-regulated learning has produced a great number of models of self-regulated learning competence and it is still a challenge to integrate them within a single coherent framework. However, such a framework is necessary for, among other reasons, the development of valid assessment methods. We argue that one common characteristic of all models is that they consider the competence to make solid comparisons as a key competence of self-regulated learning. However, the kind of comparisons and the kind of standards used for these comparisons differ between models. The same is true for assessment methods. Valid assessment methods also have implemented comparisons and they also differ concerning the kind of comparison and the kind of standards used for assessment. In order to categorize both, models as well as assessment methods, we propose to distinguish between component models and process models of self-regulated learning. Component models imply the use of offline standards for assessment whereas process models imply the use of online standards. Both offline and online standards can be either quantitative or qualitative. We show that using qualitative standards leads to a higher validity of the assessment than using quantitative standards. This advantage of qualitative standards can be shown for both offline standards as well as online standards.

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Andrade, FXC, JMA César de Sá, and FM Andrade Pires. "Assessment and comparison of non-local integral models for ductile damage." International Journal of Damage Mechanics 23, no. 2 (July 4, 2013): 261–96. http://dx.doi.org/10.1177/1056789513493103.

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Zhu, Xiaowen, and Clement A. Stone. "Bayesian Comparison of Alternative Graded Response Models for Performance Assessment Applications." Educational and Psychological Measurement 72, no. 5 (March 22, 2012): 774–99. http://dx.doi.org/10.1177/0013164411434638.

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Talasiewicz, K., P. Ozdowska, B. Milanowska, K. Gepner, and B. Jagielska. "Comparison of venous thromboembolism risk assessment models in patients receiving chemotherapy." Annals of Oncology 29 (October 2018): viii615—viii616. http://dx.doi.org/10.1093/annonc/mdy300.040.

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McCrea, Rachel S., Byron J. T. Morgan, and Thomas Bregnballe. "Model comparison and assessment for multi-state capture–recapture–recovery models." Journal of Ornithology 152, S2 (December 1, 2010): 293–303. http://dx.doi.org/10.1007/s10336-010-0611-z.

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Wilkerson, Jordan T., Benjamin D. Leibowicz, Delavane D. Turner, and John P. Weyant. "Comparison of integrated assessment models: Carbon price impacts on U.S. energy." Energy Policy 76 (January 2015): 18–31. http://dx.doi.org/10.1016/j.enpol.2014.10.011.

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CASTILLO, E., A. RAMOS, R. KOLLER, M. LOPEZAENLLE, and A. FERNANDEZCANTELI. "A critical comparison of two models for assessment of fatigue data." International Journal of Fatigue 30, no. 1 (January 2008): 45–57. http://dx.doi.org/10.1016/j.ijfatigue.2007.02.014.

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Yeo, S. H., W. Kurnia, and P. C. Tan. "Critical assessment and numerical comparison of electro-thermal models in EDM." Journal of Materials Processing Technology 203, no. 1-3 (July 2008): 241–51. http://dx.doi.org/10.1016/j.jmatprotec.2007.10.026.

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Tan, Can Ozan, Uygar Özesmi, Meryem Beklioglu, Esra Per, and Bahtiyar Kurt. "Predictive models in ecology: Comparison of performances and assessment of applicability." Ecological Informatics 1, no. 2 (April 2006): 195–211. http://dx.doi.org/10.1016/j.ecoinf.2006.03.002.

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Antoniou, Fani. "Delay Risk Assessment Models for Road Projects." Systems 9, no. 3 (September 17, 2021): 70. http://dx.doi.org/10.3390/systems9030070.

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Significant universal research regarding causes of delay in road projects has been carried out based on expert opinion. This study classifies and standardizes all road construction delay factors found in the literature by developing a common risk breakdown structure (RBS) to allow for comparison between real project delay factors, and the study also proposes two delay risk assessment models (DRAMs) based on delay information from 120 real projects constructed in a similar environment with akin procurement and contract policies. The first calculates the risk priority number (RPN) and the second applies the Technique for Order Preference by Similarity to Ideal Situation (TOPSIS) multi-criteria decision-making method (MCDM). The results showed that four specific delay factors dominate in Greek road construction for which relevant mitigation proposals are made. The proposed DRAMs, while calibrated for application in Greece, can be adapted to any construction environment for which real project data is available to provide a tool for transferring experience from past projects to future projects and from accomplished to novice public client decision makers.

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Brooks, Kevin, Derik le Roux, Yuri A. W. Shardt, and Chris Steyn. "Comparison of Semirigorous and Empirical Models Derived Using Data Quality Assessment Methods." Minerals 11, no. 9 (August 31, 2021): 954. http://dx.doi.org/10.3390/min11090954.

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With the increase in available data and the stricter control requirements for mineral processes, the development of automated methods for data processing and model creation are becoming increasingly important. In this paper, the application of data quality assessment methods for the development of semirigorous and empirical models of a primary milling circuit in a platinum concentrator plant is investigated to determine their validity and how best to handle multivariate input data. The data set used consists of both routine operating data and planned step tests. Applying the data quality assessment method to this data set, it was seen that selecting the appropriate subset of variables for multivariate assessment was difficult. However, it was shown that it was possible to identify regions of sufficient value for modeling. Using the identified data, it was possible to fit empirical linear models and a semirigorous nonlinear model. As expected, models obtained from the routine operating data were, in general, worse than those obtained from the planned step tests. However, using the models obtained from routine operating data as the initial seed models for the automated advanced process control methods would be extremely helpful. Therefore, it can be concluded that the data quality assessment method was able to extract and identify regions sufficient and acceptable for modeling.

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Arrington, Leticia, Sebastian Ueckert, Malidi Ahamadi, Sreeraj Macha, and Mats O. Karlsson. "Performance of longitudinal item response theory models in shortened or partial assessments." Journal of Pharmacokinetics and Pharmacodynamics 47, no. 5 (July 2, 2020): 461–71. http://dx.doi.org/10.1007/s10928-020-09697-x.

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Abstract This work evaluates the performance of longitudinal item response (IR) theory models in shortened assessments using an existing model for part II and III of the MDS-UPDRS score. Based on the item information content, the assessment was reduced by removal of items in multiple increments and the models’ ability to recover the item characteristics of the remaining items at each level was evaluated. This evaluation was done for both simulated and real data. The metric of comparison in both cases was the item information function. For real data, the impact of shortening on the estimated disease progression and drug effect was also studied. In the simulated data setting, the item characteristics did not differ between the full and the shortened assessments down to the lowest level of information remaining; indicating a considerable independence between items. In contrast when reducing the assessment in a real data setting, a substantial change in item information was observed for some of the items. Disease progression and drug effect estimates also decreased in the reduced assessments. These changes indicate a shift in the measured construct of the shortened assessment and warrant caution when comparing results from a partial assessment with results from the full assessment.

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Sekhar, Aluru Praveen, Supriya Nandy, Kalyan Kumar Ray, and Debdulal Das. "Comparative Assessment of Strength Models for AA6063 Alloy." Materials Science Forum 880 (November 2016): 83–89. http://dx.doi.org/10.4028/www.scientific.net/msf.880.83.

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This report presents a comparative assessment of the suitability of two existing physical models for predicting yield strength of artificially aged AA6063 Al-alloy. One model is based on the modified Orowan mechanism of dislocation by-pass for non-shearable rod shaped precipitates rejuvenated by Zhu and Stark, and the other model is based on classical dislocation-particle interaction that incorporates both cutting and by-pass mechanisms for spherical shaped precipitates developed by Deschamps and Brechet. Using these models, simulation of yield strength values have been performed considering nucleation-growth as well as nucleation-growth-coarsening of precipitates during the entire period of ageing. Comparison of experimental and simulated results reveals that the model by Deschamps and Brechet predicts yield strength more accurately when nucleation-growth-coarsening of precipitates are incorporated.

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El Zahaby, Khalid M., and M. S. Rahman. "Liquefaction Risk Assessment: Evaluation of Three Statistical Models." Transportation Research Record: Journal of the Transportation Research Board 1526, no. 1 (January 1996): 79–85. http://dx.doi.org/10.1177/0361198196152600110.

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One approach to liquefaction risk assessment is based on a comparison of the earthquake and soil parameters for the site under study to those known to have either caused or not caused liquefaction at other sites during earlier earthquakes. In this study, three statistical models for liquefaction risk assessment are evaluated and compared. Both linear and nonlinear discriminant analyses are performed on the same set of historical data. It is found that the model with an energy-based formulation for the development of pore water pressure results in the least number of misclassified cases of liquefaction and nonliquefaction. The main conclusion derived from this study is that the use of an integral measure of seismic action, viz., dissipated energy, may result in a better assessment of liquefaction risk.

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Shammout, Maisa’a W. "Comparison and Assessment of Success of Models in Watershed Simulation and Management." Journal of Water Resource and Protection 06, no. 06 (2014): 599–608. http://dx.doi.org/10.4236/jwarp.2014.66058.

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Khabbazbashi, Nahal, and Evelina D. Galaczi. "A comparison of holistic, analytic, and part marking models in speaking assessment." Language Testing 37, no. 3 (January 24, 2020): 333–60. http://dx.doi.org/10.1177/0265532219898635.

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This mixed methods study examined holistic, analytic, and part marking models (MMs) in terms of their measurement properties and impact on candidate CEFR classifications in a semi-direct online speaking test. Speaking performances of 240 candidates were first marked holistically and by part (phase 1). On the basis of phase 1 findings—which suggested stronger measurement properties for the part MM—phase 2 focused on a comparison of part and analytic MMs. Speaking performances of 400 candidates were rated analytically and by part during that phase. Raters provided open comments on their marking experiences. Results suggested a significant impact of MM; approximately 30% and 50% of candidates in phases 1 and 2 respectively were awarded different (adjacent) CEFR levels depending on the choice of MM used to assign scores. There was a trend of higher CEFR levels with the holistic MM and lower CEFR levels with the part MM. Although strong correlations were found between all pairings of MMs, further analyses revealed important differences. The part MM was shown to display superior measurement qualities particularly in allowing raters to make finer distinctions between different speaking ability levels. These findings have implications for the scoring validity of speaking tests.

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Gugliani, Gaurav Kumar. "Comparison of different multi-parameters probability density models for wind resources assessment." Journal of Renewable and Sustainable Energy 12, no. 6 (November 2020): 063303. http://dx.doi.org/10.1063/5.0024052.

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Bennett, James S., Charles E. Feigley, Jamil Khan, and Mohamed H. Hosni. "Comparison of Mathematical Models for Exposure Assessment With Computational Fluid Dynamic Simulation." Applied Occupational and Environmental Hygiene 15, no. 1 (January 2000): 131–44. http://dx.doi.org/10.1080/104732200301953.

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Ducceschi, Michele, and Stefan Bilbao. "Linear stiff string vibrations in musical acoustics: Assessment and comparison of models." Journal of the Acoustical Society of America 140, no. 4 (October 2016): 2445–54. http://dx.doi.org/10.1121/1.4962553.

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Yang, Chao, Jing Guo, Tao Geng, Qile Zhao, Kecai Jiang, Xin Xie, and Yifei Lv. "Assessment and Comparison of Broadcast Ionospheric Models: NTCM-BC, BDGIM, and Klobuchar." Remote Sensing 12, no. 7 (April 9, 2020): 1215. http://dx.doi.org/10.3390/rs12071215.

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For single-frequency Global Navigation Satellite Systems (GNSSs) users, ionospheric delay is the main error source affecting the accuracy of positioning. Applying a broadcast ionospheric correction model to mitigate the ionospheric delay is essential for meter-to-decimeter-level accuracy positioning. To provide support for real-time single-frequency operations, particularly in the China area, we assessed the performance of three broadcast ionospheric correction models, namely, the Neustrelitz total electron content (TEC) broadcast model (NTCM-BC), the BeiDou global broadcast ionospheric delay correction model (BDGIM), and the Klobuchar model. In this study, the broadcast coefficients of Klobuchar and BDGIM are obtained from the navigation data files directly. Two sets of coefficients of NTCM-BC for China and global areas are estimated. The slant total electron contents (STEC) data from more than 80 validation stations and the final vertical TEC (VTEC) data of the Center for Orbit Determination in Europe (CODE) are used as independent benchmarks for comparison. Compared to GPS STEC during the period of Day of Year (DOY) 101~199, 2019, the ionospheric correction ratio of NTCM-BC, BDGIM, and Klobuchar are 79.4%, 64.9%, and 57.7% in China, respectively. For the global area, the root-mean-square (RMS) errors of these three models are 3.67 TECU (1 TECU = 1016 electrons/m2), 5.48 TECU, and 8.92 TECU, respectively. Compared to CODE VTEC in the same period, NTCM-BC, BDGIM, and Klobuchar can correct 72.6%, 69.8%, and 61.7% of ionospheric delay, respectively. Hence, NTCM-BC is recommended for use as the broadcast ionospheric model for the new-generation BeiDou satellite navigation system (BDS) and its satellite-based augmentation system.

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Schafer, Katherine, Kyle B. Enfield, Wendy Novicoff, Tracey Hoke, and Jonathon D. Truwit. "RISK ASSESSMENT IN CRITICAL CARE: COMPARISON OF APACHE IV AND UHC MODELS." Chest 134, no. 4 (October 2008): 112P. http://dx.doi.org/10.1378/chest.134.4_meetingabstracts.p112004.

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Michielutte, Robert, J. M. Ernest, Mary Lou Moore, Paul J. Meis, Penny C. Sharp, H. Bradley Wells, and Paul A. Buescher. "A comparison of risk assessment models for term and preterm low birthweight." Preventive Medicine 21, no. 1 (January 1992): 98–109. http://dx.doi.org/10.1016/0091-7435(92)90009-7.

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Lüdecke, Daniel, Mattan Ben-Shachar, Indrajeet Patil, Philip Waggoner, and Dominique Makowski. "performance: An R Package for Assessment, Comparison and Testing of Statistical Models." Journal of Open Source Software 6, no. 60 (April 21, 2021): 3139. http://dx.doi.org/10.21105/joss.03139.

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RAMAN KUMAR, Umamaheswaran, Inge COUDRON, Steven PUTTEMANS, and Patrick VANDEWALLE. "Quality assessment for 3D reconstruction of building interiors." Electronic Imaging 2020, no. 17 (January 26, 2020): 36–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.17.3dmp-036.

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Applications ranging from simple visualization to complex design require 3D models of indoor environments. This has given rise to advancements in the field of automated reconstruction of such models. In this paper, we review several state-of-the-art metrics proposed for geometric comparison of 3D models of building interiors. We evaluate their performance on a real-world dataset and propose one tailored metric which can be used to assess the quality of the reconstructed model. In addition, the proposed metric can also be easily visualized to highlight the regions or structures where the reconstruction failed. To demonstrate the versatility of the proposed metric we conducted experiments on various interior models by comparison with ground truth data created by expert Blender artists. The results of the experiments were then used to improve the reconstruction pipeline.

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Mateu, José M., and Isidre March-Chorda. "Searching for better business models assessment methods." Management Decision 54, no. 10 (November 21, 2016): 2433–46. http://dx.doi.org/10.1108/md-07-2015-0325.

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Purpose The purpose of this paper is to provide a more useful business models assessment method than the traditional intuitive one. The paper also compares both methods, in order to display what does the intuitive assessment method really assess. Design/methodology/approach An experimental approach allows the authors to generate a set of business models, in order to assess them and to compare alternative assessment methods in a quantitative manner. Findings The work proposes a scale for ex ante business models assessment consisting on eight indicators. This provides an ex ante assessment that takes into consideration a wider range of factors than the traditional intuitive assessment. The comparison between both methods shows which factors are intuitively taken into account and which are not. Research limitations/implications The research contributes to expand the business model creation framework. Practical implications A more accurate assessment will show the most promising business models that will result in higher chances of success of new business ventures. Social implications As companies and entrepreneurs hardly have the possibility to implement more than one business model, to choose the best option becomes essential. This selection could mark the threshold between success and failure, and between wealth creation and destruction. Originality/value Little research has been conducted in a field that might be really fruitful, the field of business model ex ante assessment. The work faces the challenge using an experimental methodology that allows to broaden the range of situations to study.

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Noor, Ahmed K., and W. Scott Burton. "Assessment of Computational Models for Multilayered Composite Shells." Applied Mechanics Reviews 43, no. 4 (April 1, 1990): 67–97. http://dx.doi.org/10.1115/1.3119162.

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A review is made of the different approaches used for modeling multilayered composite shells. Discussion focuses on different approaches for developing two-dimensional shear deformation theories; classification of two-dimensional theories based on introducing plausible displacement, strain and/or stress assumptions in the thickness direction; first-order shear deformation theories based on linear displacement assumptions in the thickness coordinate; and efficient computational strategies for anisotropic composite shells. Extensive numerical results are presented showing the effects of variation in the lamination and geometric parameters of simply supported composite cylinders on the accuracy of the static and vibrational responses predicted by eight different modeling approaches (based on two-dimensional shear deformation theories). The standard of comparison is taken to be the exact three-dimensional elasticity solutions. The quantities compared include both the gross response characteristics (eg, vibration frequencies and strain energy components); and detailed, through-the-thickness distributions of displacements, stresses, and strain energy densities. Some of the future directions for research on the modeling of multilayered composite shells are outlined.

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Mogle, Jacqueline A., Nikki Hill, and Caroline McDermott. "Subjective Memory in a National Sample: Predicting Psychological Well-Being." Gerontology 63, no. 5 (2017): 460–68. http://dx.doi.org/10.1159/000466691.

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Background: Individual perception of memory performance (i.e., subjective memory) is assessed using a variety of approaches. This article focuses on 2 such approaches: (1) self-comparison assessments that attempt to capture changes in memory ability over a period of time and (2) age-anchored comparisons that assess how an individual perceives their memory in relation to others their age. These different types of assessment may relate to psychological well-being differently due to the underlying mechanisms of assessment. Objective: The purpose of these analyses is to examine 2 measures of subjective memory (i.e., a self-comparison measure and an age-anchored comparison measure) as predictors of psychological well-being among adults in mid- and late life. Methods: Participants (n = 3,434) in the Midlife in the United States Study completed measures of subjective memory, depressive affect, and life satisfaction. Structural equation modeling was used to examine whether the self-comparison and age-anchored comparison measures had differential predictive utility regarding psychological well-being. Results: Higher age-anchored comparison ratings were related to higher life satisfaction scores. There was a significant interaction between the 2 items such that individuals with lower ratings on both subjective memory measures had the poorest outcomes. Additionally, age-anchored comparisons interacted with age: older adults had the poorest outcomes when they reported poorer age-anchored comparisons. Conclusion: These findings highlight the importance of precise measurement in the consideration of subjective memory. How an individual was asked to rate his or her perception of memory influenced the relationships between subjective memory and psychological well-being. This study contributes valuable insight into the importance of the assessment models of subjective memory.

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Alavalapati, Janaki RR, Wiktor L. Adamowicz, and William A. White. "A comparison of economic impact assessment methods: the case of forestry developments in Alberta." Canadian Journal of Forest Research 28, no. 5 (May 1, 1998): 711–19. http://dx.doi.org/10.1139/x98-049.

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Economic impacts of forestry developments in Alberta are estimated using two interindustry approaches. The results suggest that estimates derived from input-output (I-O) models differ from those of computable general equilibrium (CGE) models. Employment and GDP estimates derived from CGE models are much smaller than those of I-O models. Unlike I-O estimates, estimates derived from CGE models are not unidirectional because of general equilibrium effects. The results also indicate that CGE models provide greater flexibility and have more potential for forest policy analysis when compared with I-O models, but they should be used with caution.

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Okamura, Hiroshi, Yuuho Yamashita, Momoko Ichinokawa, and Shota Nishijima. "Comparison of the performance of age-structured models with few survey indices." ICES Journal of Marine Science 75, no. 6 (September 12, 2018): 2016–24. http://dx.doi.org/10.1093/icesjms/fsy126.

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Abstract Age-structured models have played an important role in fisheries stock assessment. Although virtual population analysis (VPA) was once the most widely used stock assessment model for when catch-at-age information is available, (hierarchical) statistical catch-at-age analysis (SCAA) is about to take that position. However, the estimation performance of different age-structured models has not been evaluated sufficiently, especially in cases where there are few available abundance indices. We examined the performance of VPA and SCAA using simulation data in which only the abundance indices of spawning stock biomass and recruitment were available. The simulation demonstrated that VPA with the ridge penalty selected by minimizing retrospective bias provided near-unbiased abundance estimates without catch-at-age error and moderately biased estimates with catch-at-age error, whereas SCAA with random-walk selectivity suffered from problems in estimating parameters and population states. Without sufficient information on abundance trends, naïvely using SCAA with many random effects should be done cautiously, and comparing results from various age-structured models via simulation tests will be informative in selecting an appropriate stock assessment model.

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Lai, Angela Ka Wai, and Amy C. Y. Lo. "Animal Models of Diabetic Retinopathy: Summary and Comparison." Journal of Diabetes Research 2013 (2013): 1–29. http://dx.doi.org/10.1155/2013/106594.

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Diabetic retinopathy (DR) is a microvascular complication associated with chronic exposure to hyperglycemia and is a major cause of blindness worldwide. Although clinical assessment and retinal autopsy of diabetic patients provide information on the features and progression of DR, its underlying pathophysiological mechanism cannot be deduced. In order to have a better understanding of the development of DR at the molecular and cellular levels, a variety of animal models have been developed. They include pharmacological induction of hyperglycemia and spontaneous diabetic rodents as well as models of angiogenesis without diabetes (to compensate for the absence of proliferative DR symptoms). In this review, we summarize the existing protocols to induce diabetes using STZ. We also describe and compare the pathological presentations, in both morphological and functional aspects, of the currently available DR animal models. The advantages and disadvantages of using different animals, ranging from zebrafish, rodents to other higher-order mammals, are also discussed. Until now, there is no single model that displays all the clinical features of DR as seen in human. Yet, with the understanding of the pathological findings in these animal models, researchers can select the most suitable models for mechanistic studies or drug screening.

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Lampros, Christos, Thomas Simos, Themis P. Exarchos, Konstantinos P. Exarchos, Costas Papaloukas, and Dimitrios I. Fotiadis. "Assessment of optimized Markov models in protein fold classification." Journal of Bioinformatics and Computational Biology 12, no. 04 (August 2014): 1450016. http://dx.doi.org/10.1142/s0219720014500164.

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Protein fold classification is a challenging task strongly associated with the determination of proteins' structure. In this work, we tested an optimization strategy on a Markov chain and a recently introduced Hidden Markov Model (HMM) with reduced state-space topology. The proteins with unknown structure were scored against both these models. Then the derived scores were optimized following a local optimization method. The Protein Data Bank (PDB) and the annotation of the Structural Classification of Proteins (SCOP) database were used for the evaluation of the proposed methodology. The results demonstrated that the fold classification accuracy of the optimized HMM was substantially higher compared to that of the Markov chain or the reduced state-space HMM approaches. The proposed methodology achieved an accuracy of 41.4% on fold classification, while Sequence Alignment and Modeling (SAM), which was used for comparison, reached an accuracy of 38%.

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Kvas, Andreja, Janko Seljak, and Janez Stare. "Training Needs Assessment for Leaders in Nursing Based on Comparison of Competency Models." Organizacija 47, no. 1 (February 1, 2014): 66–75. http://dx.doi.org/10.2478/orga-2014-0006.

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Abstract Background and Purpose: The main purpose behind the formation of leadership competency models must be the improvement of leadership. A competency model should serve as one of the tools for selecting the most suitable leaders, appraising their work, assessing training needs and preparing programmes of functional and formal education. The objective of this research is to assess the training needs of leaders in health care. A comparison of leadership competency models between different professional groups should serve as one of the tools with which to assess the training needs of various levels of leaders. Design/Methodology/Approach: A descriptive study using a survey design was conducted on 141 nurse leaders in Slovenia. Respondents indicated to what extent each of 95 different behaviours was characteristic of a person at their leadership level. Results: The most important competence dimensions (groups of behaviours) for leaders in health care are (1) at the first - top leadership level: strategic thinking, openness to change and responsibility; (2) for leaders at the second - middle leadership level: relations with co-workers, animation, resistance to stress; and (3) for leaders at the third leadership level: realisation skills, execution of procedures, communication. Training needs assessments were done for three leadership levels in nursing care. Conclusions: The greatest need for training of nurse leaders can be observed at the third leadership level. Special training programmes should be organised in the competency areas of realisation skills, execution of procedures, communication, education and ethics

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IWASAKI, Akito, Keisuke KUSUHARA, Yoshihiko ISERI, and Shinjiro KANAE. "DEVELOPMENT AND COMPARISON OF THREE TYPHOON RISK ASSESSMENT MODELS IN WESTERN NORTH PACIFIC." Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 69, no. 4 (2013): I_1585—I_1590. http://dx.doi.org/10.2208/jscejhe.69.i_1585.

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Slifko, Theresa R., Debra E. Huffman, Bertrand Dussert, James H. Owens, Walter Jakubowski, Charles N. Haas, and Joan B. Rose. "Comparison of tissue culture and animal models for assessment of Cryptospridium parvum infection." Experimental Parasitology 101, no. 2-3 (June 2002): 97–106. http://dx.doi.org/10.1016/s0014-4894(02)00100-5.

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Journal articles on the topic 'Comparison assessment models'

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