EP Model Research Articles

A theoretical model of emotional processing in visual artmaking and art therapy

Current theoretical models of emotional processing rely mainly on detecting emotional processing through verbal, conscious, and cognitive processes. However, artmaking can potentially reveal embodied and implicit processes that may otherwise remain hidden in verbal expression. This paper attempts to close the scholarly gap by introducing a novel art-based emotional processing model that integrates emotional processing and art therapy literature, incorporating emotional meaning-making, awareness, acceptance, and memory consolidation. The art-based EP model explains the processes through which art creation may benefit emotional processing. It also elucidates the ways in which art therapy can be used to enhance therapeutic outcomes.

Assessment of Halogen Off-Center Point-Charge Models Using Explicit Solvent Simulations.

Compounds containing halogens can form halogen bonds (XBs) with biological targets such as proteins and membranes due to their anisotropic electrostatic potential. To accurately describe this anisotropy, off-center point-charge (EP) models are commonly used in force field methods, allowing the description of XBs at the molecular mechanics and molecular dynamics level. Various EP implementations have been documented in the literature, and despite being efficient in reproducing protein-ligand geometries and sampling of XBs, it is unclear how well these EP models predict experimental properties such as hydration free energies (ΔGhyd), which are often used to validate force field performance. In this work, we report the first assessment of three EP models using alchemical free energy calculations to predict ΔGhyd values. We show that describing the halogen anisotropy using some EP models can lead to a slight improvement in the prediction of the ΔGhyd when compared with the models without EP, especially for the chlorinated compounds; however, this improvement is not related to the establishment of XBs but is most likely due to the improvement of the sampling of hydrogen bonds. We also highlight the importance of the choice of the EP model, especially for the iodinated molecules, since a slight tendency to improve the prediction is observed for compounds with a larger σ-hole but significantly worse results were obtained for compounds that are weaker XB donors.

A Combined EP & HF APRN Model Can Identify Opportunities In Post-CRT Management

A Combined EP & HF APRN Model Can Identify Opportunities In Post-CRT Management

Influence of image artifacts on image-based computer simulations of the cardiac electrophysiology.

Myocardial infarct patients have an increased risk of scar-based ventricular tachycardia. Late gadolinium enhanced magnetic resonance (MR) imaging provides the geometric extent of myocardial infarct. Computational electrophysiological models based on such images can provide a personalized prediction of the patient's tachycardia risk. In this work, the effect of respiratory slice alignment image artifacts on image-based electrophysiological simulations is investigated in two series of models. For the first series, a clinical MR image is used in which slice translations are applied to artificially induce and correct for slice misalignment. For the second series, computer simulated MR images with and without slice misalignments are created using a mechanistic anatomical phantom of the torso. From those images, personalized models are created in which electrical stimuli are applied in an attempt to induce tachycardia. The response of slice-aligned and slice-misaligned models to different interval stimuli is used to assess tachycardia risk. The presented results indicate that slice misalignments affect image-based simulation outcomes. The extent to which the assessed risk is affected is found to depend upon the geometry of the infarct area. The number of unidirectional block tachycardias varied from 1 to 3 inducible patterns depending on slice misalignment severity and, along with it, the number of tachycardia inducing stimuli locations varied from 2 to 4 from 6 different locations. For tachycardias sustained by conducting channels through the scar core, no new patterns are induced by altering the slice alignment in the corresponding image. However, it affected the assessed risk as tachycardia inducing stimuli locations varied from 1 to 5 from the 6 stimuli locations. In addition, if the conducting channel is not maintained in the image due to slice misalignments, the channel-dependent tachycardia is not inducible anymore in the image-based model.

Investigation of post-injection strategies for diesel engine Catalyst Heating Operation using a vapor-liquid-equilibrium-based spray model

Most multidimensional engine simulations spend much time solving for non-equilibrium spray dynamics (atomization, collision, vaporization). However, their accuracy is limited by significant grid dependency, and the need for extensive calibration. This is critical for modeling cold-start diesel fuel post injections, which occur at low temperatures and pressures, far from typical model validation ranges. At the same time, resolving micron-scale spray phenomena would render full Eulerian multiphase calculations prohibitive. In this study, an improved phase equilibrium based approach was implemented and assessed for simulating diesel catalyst heating operation strategies. A phase equilibrium solver based on the model by Yue and Reitz [1] was implemented: a fully multiphase CFD solver is employed with an engineering-size engine grid, and fuel injection is modeled using the standard Lagrangian parcels approach. Mass and energy from the liquid parcels are released to the Eulerian multiphase mixture according to an equilibrium-based liquid jet model. An improved phase equilibrium solver was developed to handle large real-gas mixtures such as those from accurate chemical kinetics mechanisms. The liquid-jet model was improved such that momentum transfer to the Eulerian solver better reproduces the physical spray jet structure. Validation of liquid/vapor penetration predictions showed that the model yields accurate results with very limited tuning and low sensitivity to the few calibration constants. In-cylinder simulations of diesel catalyst heating operation strategies showed that capturing spray structure is paramount when short, transient injection pulses and low temperatures are present. Furthermore, the EP model provides improved predictions of post-injection spray structure and ignitability, while conventional spray modeling does not capture the increase of liquid penetration during the expansion stroke. Finally, the only important EP model calibration constant, Cliq, does not affect momentum transfer, but it changes the local charge cooling distribution through the local energy transfer, which makes it candidate to additional research. The results confirm that non-equilibrium spray processes do not need to be resolved in engineering simulations of high-pressure diesel sprays.

Microscopic optical potentials including breakup effects for elastic scattering

Abstract We construct a microscopic optical potential including breakup effects for the elastic scattering of weakly binding projectiles within the Glauber model, in which a nucleon–nucleus potential is derived using the $g$-matrix folding model. The derived microscopic optical potential is referred to as the eikonal potential. For $d$ scattering, calculation with the eikonal potential, i.e., the EP model, reasonably reproduces the result of the exact calculation with the continuum-discretized coupled-channels method at intermediate energies. From the properties of the EP model, the inaccuracy of the eikonal approximation used in the Glauber model is partially excluded. Also analyzed with the eikonal potential is the scattering of $^6$He from $^{12}$C, and its applicability to scattering with many-body projectiles is shown.

РОЗРОБКА МОДЕЛЕЙ ОЦІНКИ ЯКОСТІ ІНФРАСТРУКТУРИ ПІДПРИЄМСТВА ТА ІНФРАСТРУКТУРИ ІНФОРМАЦІЙНОЇ СИСТЕМИ

The article deals with the evaluation of the quality infrastructure information system (IIS) and enterprise infrastructure (EI). The model of IIS is based on the use of the process approach. IIS is regarded as a set of interconnected IT-processes. This set was decomposed into groups, making it possible to place the responsibility for the operation of a specific IT-process on specific employees. Also based on ISO 9004: 2012 EP model was developed. It was supplemented with the necessary components to meet the requirements put forward by IIS

A bioenergetic and protein flux model to simulate fish growth in commercial farms: Application to the gilthead seabream

A model for fish growth simulation based on the bioenergetic factorial approach is presented. This work presents a novel approach that extends the traditional bioenergetic model by explicitly including the Energy and Protein fluxes (EP model). This is a valuable feature that allows the dynamic simulation of fish proximate composition. For the aquaculture industry it represents a trade-off between detailed process simulation and feasibility of model implementation, namely regarding data gathering on an operational setting. The EP model is targeted to simulate fish production in commercial farms. Farm data for feed intake, feed composition (energy and protein content), temperature over time and the initial fish body weight are the only required data to run the model. Furthermore, apparent digestibility coefficient (ADC) values of the feed used in the farm must be known or else ADC values of feeds with similar composition can be used. The EP model implementation is illustrated for the gilthead seabream (Sparus aurata) based on published experimental data. The model was validated (r = 0.997, p < 0.05, n = 12) using a published experimental data set for gilthead seabream reared in a range of temperatures that reproduce the conditions in most countries producing this species. For the entire growth period (488 days) the estimated mean absolute error (MAE) is 8.8 g.fish−1 and the mean absolute percentage error (MAPE) is 8.3%. Simulation of fish growth in real operational conditions is evaluated with three datasets from a commercial farm that operates in earthen ponds with temperatures ranging between 12.6 °C and 24.8 °C. Overall the model outputs match well with the production data in the 3 batches. Initial weight ranged between 2.8 g and 3.7 g. The deviation between the data and simulated final weights is below 15 g, for a final weight around 435 g. The maximum absolute error is 21.1 g per fish (MAE) and in percentage 8.3% (MAPE).

Satellite‐Based Estimation of Particulate Organic Carbon Export in the Northern South China Sea

AbstractKnowledge of particulate organic carbon export flux (EP) is the key to understanding the marine biological carbon pump. In this study, a satellite remote sensing algorithm based on the food‐web model established by Siegel et al. (2014; https://doi.org/10.1002/2013GB004743) was used to estimate EP in the northern South China Sea (NSCS), which consists of direct sinking flux of large phytoplankton and associated aggregates by gravity and flux of zooplankton feces by grazing. This is the first time that fine spatiotemporal variation of satellite‐derived EP in the NSCS is unveiled. Compared with the results on 1° spatial scale products, the model results based on the satellite products with 1/3° and 1/12° resolutions showed better consistency with the observations. Validation with in situ EP showed that the model exhibited a good performance in the NSCS basin, but the predicted EP in the shelf regions were smaller compared with measurements. The satellite‐derived annual‐mean EP in the shelf areas was 8.47 and 5.56 mmol C·m−2·d−1 in the NSCS basin, on the 1/3° spatial scale, with relative differences from observations were about −50% and −15% for the shelf and basin, respectively. The flux of feces from zooplankton grazing, especially that from microzooplankton grazing, might account for the major fraction of the EP in the NSCS. Accurate products of ocean net primary production and empirical coefficients in the food web (e.g., export efficiency of zooplankton grazing and specific mortality rate of nongrazing phytoplankton) suitable for the NSCS, are essential for performance improvement of the satellite‐based EP model.

Extending Class A pan evaporation for a shallow lake to simulate the impact of littoral sediment and submerged macrophytes: a case study for Keszthely Bay (Lake Balaton, Hungary)

Class A pan evaporation rate, Ep with sediment cover (S) and submerged aquatic macrophytes (Ps) was analysed in a temperate freshwater shallow lake at Keszthely (Hungary), over three growing seasons between 2014 and 2016. The aim was to identify the importance of this water body’s natural components (S and Ps) on Ep. Measured Ep together with reference E of Shuttleworth (E0) and the FAO-56 equation ET were also derived. Pan coefficient, Ka for filled in pans with S and Ps were computed as the ratio of Ep of the planted pan (Ps/S) and Ep. Ka values determined on-site were tested in the estimation of E for an open water body, namely Keszthely Bay of Lake Balaton. Overall seasonal mean evaporation rate was lower for Ep (3.2 ± 1.05 mm day−1) than the seasonal daily average Ep of S (3.7 ± 1.16 mm day−1) and the Ep of Ps (4.0 ± 1.28 mm day−1). Interannual variation of Ep was controlled by variations in seasonal air temperature, Ta. Data of the wet 2014 season showed a significant suppression of Ep, and this was related to humid and cooler weather conditions causing late emergence and early senescence of the submerged macrophytes (Potamogeton perfoliatus L., Myriophyllum spicatum L. and Najas marina L.) at Keszthely Bay. Overall seasonal mean Ka was greater than 1.0 as determined for the three-season time period in pans with S and Ps (Kas: 1.14 ± 0.04; Kap: 1.20 ± 0.05). Except for a previous study from our group (Anda et al., 2016, J Hydrol 542: 615–626) over a two-season period, no such ratio or coefficients have been published, until now. The dominant component of the energy balance was latent heat flux, which accounted for more than 60% of net radiation in Keszthely Bay, depending on Class A pan filling (S and Ps). Diurnal variation in heat storage of the pan also changed due to the occurrence of sediment cover and macrophytes inside the evaporimeters. The most important daily meteorological variables were used to develop the Ep model and to validate S and Ps. Our results show that linear models, even with more input variables, performed better than tree-based models with respect to mean absolute errors (MAE), root mean square errors (RMSE) and determination coefficient (R2) in predicting daily Ep of S and Ps. The use of pan coefficients Kas and Kap increased seasonal E of Keszthely Bay by 4.2, 14.4 and 17.1% during the 2014–2016 seasons, respectively. Total seasonal increments for Keszthely Bay (surface area is about 39 km2) accounted for 0.97, 4.31 and 3.91 million m3 throughout 2014–2016, respectively. In the warmer seasons, an increasing trend in the growth of Keszthely Bay’s E was detected. These results indicate that Class A pan Ep rates need to be modified to take into account sediment cover and submerged macrophytes to derive open water E. This approximation may lend additional credit to the estimation of E in lakes. Given that appropriate estimation of E can effectively impact the management of an ecologically functional lake’s water, maintaining the proper water level and quality can contribute to the sustainability of lakes in the long run.

An adaptive method of multi-scale edge detection for underwater image

This paper presents a new approach for underwater image analysis using the bi-dimensional empirical mode decomposition (BEMD) technique and the phase congruency information. The BEMD algorithm, fully unsupervised, it is mainly applied to texture extraction and image filtering, which are widely recognized as a difficult and challenging machine vision problem. The phase information is the very stability feature of image. Recent developments in analysis methods on the phase congruency information have received large attention by the image researchers. In this paper, the proposed method is called the EP model that inherits the advantages of the first two algorithms, so this model is suitable for processing underwater image. Moreover, the receiver operating characteristic (ROC) curve is presented in this paper to solve the problem that the threshold is greatly affected by personal experience when underwater image edge detection is performed using the EP model. The EP images are computed using combinations of the Canny detector parameters, and the binaryzation image results are generated accordingly. The ideal EP edge feature extractive maps are estimated using correspondence threshold which is optimized by ROC analysis. The experimental results show that the proposed algorithm is able to avoid the operation error caused by manual setting of the detection threshold, and to adaptively set the image feature detection threshold. The proposed method has been proved to be accuracy and effectiveness by the underwater image processing examples.

Cardiology consultation reduces provocative testing rates in an ED observation unit

BackgroundIn evaluating patients with chest pain, emergency department observation units (EDOUs) may use a staffing model in which emergency physicians determine patient testing (EP model) or a model similar to a chest pain unit (CPU) in which cardiologists determine provocative testing (CPU model). MethodsWe performed a prospective study with 30-day telephone follow-up for all chest pain patients placed in our EDOU. Halfway through the study period, our EDOU transitioned from an EP model to a CPU model. We compared provocative testing rates and outcomes between the 2 models. ResultsOver the 34-month study period, our EDOU evaluated 1190 patients for chest pain. Patients placed in the EDOU during the 17-month CPU model were more likely to be moderate risk (Thrombolysis in Myocardial Infarction score 3-5) than those during the 17-month EP model: 24.9% vs 18.8%, P = .011. Despite this difference, rates of provocative testing (stress testing or coronary computed tomography) were lower during the CPU model: 47.1% vs 56.5%, P = .001. This reduction was particularly evident among low-risk patients (Thrombolysis in Myocardial Infarction score 0-2): 49.8% vs 58.1%, P = .011. Rates of myocardial infarction, percutaneous coronary intervention, or coronary artery bypass graft were similar between the 2 groups (2.8% vs 3.2%, P = .140). We noted no significant events or missed diagnoses in either group during the 30-day follow-up. ConclusionAn EDOU model that used mandatory cardiology consultation resulted in decreased provocative testing, particularly among low-risk chest pain patients. Future research should explore the cost-effectiveness of this model.

CAN ORGANISATION CAPITAL IMPROVE CORPORATE PERFORMANCE THROUGH DIRECT PATH OR MEDIATING EFFECT SURVEILLANCE OF BOARD FUNCTION: EVIDENCE FROM TAIWAN?

This paper examines whether board function is associated with improved corporate performance. Path analysis is used to investigate the direct and indirect links between four performance variables and organization capital. A hypothesis is developed based upon the incorporation of knowledge-based resources. The idea is that the board of directors has monitoring and consultation functions, propelling organizational development. We use panel data with random effects for 1,355 firms listed on the Taiwan Stock Exchange from 2001 to 2012. The two-stage leastsquares method is used to explore the mediating effect among board function, organization capital and corporate performance. Both an aggregated model and the EP model are investigated specifying both a direct link and a mediated link with organization capital. It is concluded that the governance effect has a direct influence in the relationship between board function and corporate governance, and that organization capital is significantly associated with the performance variables. In terms of the counselling function of the board, inside directors are significantly related to dynamic capacity, which improves corporate performance for the long run.

Estimating Potential Transpiration of Apple Trees Using Theoretical Non-Water-Stressed Baselines

AbstractTo maximize irrigation efficiency, applied water has to be precisely adjusted to the crop water use. This study develops a method based on the energy balance of a single apple leaf to calculate potential transpiration (Ep) for the whole apple tree. The Ep model was based on two main submodels predicting canopy temperature (Tc) and total canopy conductance (gT). The gT model was derived by simplifying the energy budget to rely on only climatic data and an empirical coefficient. These submodels were evaluated using the canopy temperature data collected in a Fuji apple orchard during the 2007, 2008, and 2013 growing seasons. The applicability of the Ep model was examined on (1) well-watered, young Fuji apple trees, and (2) well-irrigated, older apple trees bearing little fruit. Predicted potential transpiration rates at both scenarios were compared with those predicted by the ASCE standardized Penman–Monteith values for alfalfa (ETr). Daily average weather data collected during the three growing seas...

Soft-Sensor Modeling for Separation Performance of Dense-Medium Cyclone by Field Data

Four measurable parameters, that is, density of dense-medium suspension (d), inlet pressure of dense-medium suspension (p), content of magnetic substance (c), and coal feed rate (r) were adopted to build a soft-sensor model for calculating the two performance index of a dense-medium cyclone in a Taixi plant. Uniform design was adopted to reduce the number of experiments. The models of actual separation density (δp) and probable error (Ep) obtained by genetic algorithm and regression were proved to be basically right by the 12 training records and another test result. The accuracy of the δp model was 0.7% for the training set and 0.63% for the test data while that of the Ep model was 9.41% and 13.54%, respectively. The behavior of the models were in accordance with field experiences, which showed that p had the most significant effect on Ep and c affected δp most prominently in daily operation.

Extraperitoneal and intraperitoneal behavior of several biological meshes currently used to repair abdominal wall defects.

This study compares the behavior of several cross- and noncrosslinked biomeshes (Permacol®, CollaMend®, Surgisis®, Tutomesh®, and Strattice®) currently used for abdominal wall repair when implanted intraperitoneally and extraperitoneally. Material and Methods. Intraperitoneal (IP) implants were fixed on the parietal peritoneum and partial abdominal wall defects (EP) were repaired using each of the biomeshes, in the rabbit abdominal wall. After 90 days of implant, the biomeshes were examined to assess biomesh degradation, collagen I and III expression (Sirius red staining) and the host macrophage response (immunohistochemistry). Results. Following implant, the thinner noncrosslinked biomeshes Tutomesh and Surgisis, were almost fully degraded in both models. In contrast, Strattice behavior was similar to crosslinked biomeshes, showing negligible degree of degradation. This mesh also showed high expression of collagen I, similar to the crosslinked. The noncrosslinked materials elicited lower macrophage counts, significantly so for Strattice. In IP and EP models, Permacol showed similarly high macrophages while counts were lower for CollaMend and Surgisis in the EP model. Conclusions. The intra or extraperitoneal implant of the different meshes did not affect host tissue incorporation or mesh degradation. The crosslinked biomeshes induced a more intense macrophage response regardless of their IP or EP location.

Evaluating cross-sectional forecasting models for implied cost of capital

The computation of implied cost of capital (ICC) is constrained by the lack of analyst forecasts for half of all firms. Hou et al. (J Account Econ 53:504–526, 2012, HVZ) present a cross-sectional model to generate forecasts in order to compute ICC. However, the forecasts from the HVZ model perform worse than those from a naive random walk model and the ICCs show anomalous correlations with risk factors. We present two parsimonious alternatives to the HVZ model: the EP model based on persistence in earnings and the RI model based on the residual income model from Feltham and Ohlson (Contemp Account Res 11:689–732, 1996). Both models outperform the HVZ model in terms of forecast bias, accuracy, earnings response coefficients, and correlations of the ICCs with future returns and risk factors. We recommend that future research use the RI model or the EP model to generate earnings forecasts.

Evaluating Cross-Sectional Forecasting Models for Implied Cost of Capital

The computation of implied cost of capital (ICC) is constrained by the lack of analyst forecasts for half of all firms. Hou, van Dijk, and Zhang (2012, HVZ) present a cross-sectional model to generate forecasts in order to compute ICC. However, the forecasts from the HVZ model perform worse than those from a naive random walk model and the ICCs show anomalous correlations with risk factors. We present two parsimonious alternatives to the HVZ model: the EP model based on persistence in earnings and the RI model based on the residual income model from Feltham and Ohlson (1996). Both models outperform the HVZ model in terms of forecast bias, accuracy, earnings response coefficients, and correlations of the ICCs with future returns and risk factors. We recommend that future research use the RI model or the EP model to generate earnings forecasts.

Gaussian attenuation hybrid scheme applied to the Ernzerhof-Perdew exchange hole model (Gau-PBEh)

Recently, we developed a Gaussian attenuation (Gau) scheme for solid-state bandgap calculation that uses a two-electron Gaussian function operator to include short-range Hartree-Fock exchange and combined it with the long-range Perdew-Burke-Ernzerhof (PBE) exchange correlation functional (Gau-PBE). Here, we apply the Ernzerhof-Perdew exchange hole (EP) model of PBE (PBEh) as a long-range density functional theory (DFT) exchange part to the Gau scheme (Gau-PBEh). We found that applying the EP model to the Gau scheme improves atomization energies and solid-state lattice constants and that the exact exchange included using the Gau scheme plays a critical role in simultaneously reproducing solid-state bandgaps and barrier heights. In addition, Gau-PBEh takes nearly the same computation time for bandgap calculations as Gau-PBE, implying less than 60% of the time taken in Heyd-Scuseria-Ernzerhof hybrid DFT functional calculations.

Permanent Strain Modeling of Recycled Concrete Aggregate for Unbound Pavement Construction

AbstractThis paper presents the development towards a constitutive relationship for permanent strain using repeated load triaxial testing (or RLTT) data under various stress regimes for three granular materials prepared to a single level of compaction and at different levels of moisture content. For each sample investigated, initial permanent strain models were developed. A predictive model (ep model) with seven parameters was then suggested for each material following the general power law based on the permanent strain testing data. The model is capable of estimating the accumulated permanent strain at any number of cycles as a function of number of repetitions, considering the ratio of the mean normal stress to atmospheric pressure, pa, the maximum shear stress ratio, moisture content and maximum dry density corresponded to the optimum, and weighted plasticity index. The ep model was applied on data from multistage permanent strain testing over many cycles to validate the model’s performance in predicti...