Subprocesses

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Marcello La Rosa - One of the best experts on this subject based on the ideXlab platform.

  • beyond tasks and gateways discovering bpmn models with Subprocesses boundary events and activity markers
    2014
    Co-Authors: Raffaele Conforti, Marlon Dumas, Luciano Garciabanuelos, Marcello La Rosa
    Abstract:

    Existing techniques for automated discovery of process models from event logs generally produce flat process models. Thus, they fail to exploit the notion of subprocess, as well as error handling and repetition constructs provided by contemporary process modeling notations, such as the Business Process Model and Notation (BPMN). This paper presents a technique for automated discovery of BPMN models containing Subprocesses, interrupting and non-interrupting boundary events and activity markers. The technique analyzes dependencies between data attributes attached to events in order to identify Subprocesses and to extract their associated logs. Parent process and subprocess models are then discovered using existing techniques for flat process model discovery. Finally, the resulting models and logs are heuristically analyzed in order to identify boundary events and markers. A validation with one synthetic and two real-life logs shows that process models derived using the proposed technique are more accurate and less complex than those derived with flat process discovery techniques.

  • beyond tasks and gateways discovering bpmn models with Subprocesses boundary events and activity markers
    2014
    Co-Authors: Raffaele Conforti, Marlon Dumas, Luciano Garciabanuelos, Marcello La Rosa
    Abstract:

    Existing techniques for automated discovery of process models from event logs largely focus on extracting flat process models. In other words, they fail to exploit the notion of subprocess, as well as structured error handling and repetition constructs provided by contemporary process modeling notations, such as the Business Process Model and Notation (BPMN). This paper presents a technique for automated discovery of BPMN models containing Subprocesses, interrupting and non-interrupting boundary events, and loop and multi-instance markers. The technique analyzes dependencies between data attributes associated with events, in order to identify Subprocesses and to extract their associated logs. Parent process and subprocess models are then discovered separately using existing techniques for flat process model discovery. Finally, the resulting models and logs are heuristically analyzed in order to identify boundary events and markers. A validation with one synthetic and two real-life logs shows that process models derived using the proposed technique are more accurate and less complex than those derived with flat process model discovery techniques.

Wenchang Xiang - One of the best experts on this subject based on the ideXlab platform.

  • inclusive diffractive heavy quarkonium photoproduction including quark Subprocesses
    2021
    Co-Authors: Yanbing Cai, Wenchang Xiang
    Abstract:

    To test the contributions of the quark Subprocesses to the inclusive diffractive heavy quarkonium photoproduction, we first investigate the inclusive nondiffractive direct and resolved photoproduction of $J/\mathrm{\ensuremath{\Psi}}$ in the framework of nonrelativistic quantum chromodynamics (NRQCD). We find that the theoretical total cross section of heavy quarkonium productions are in good agreement with the data available at HERA, once the $\ensuremath{\gamma}q$, $qg$, and $qq$ Subprocesses in the heavy quark pair productions are taken into account. Then we predict the inclusive diffractive rapidity and transverse momentum distributions of $J/\mathrm{\ensuremath{\Psi}}$, $\mathrm{\ensuremath{\Psi}}(2S)$, and $\mathrm{\ensuremath{\Upsilon}}(1S)$ in $pp$, $p\mathrm{Pb}$, and $\mathrm{PbPb}$ collisions at the CERN Large Hadron Collider by using our quark improved NRQCD model. We find that the contributions from the quark involved Subprocesses to quarkonium photoproduction are about $6%\text{--}15%$. The numerical results show that the contributions from quark involved Subprocesses are significant modification in inclusive diffractive heavy quarkonium photoproduction.

  • inclusive diffractive heavy quarkonium photoproduction including quark Subprocesses
    2020
    Co-Authors: Yanbing Cai, Wenchang Xiang
    Abstract:

    The inclusive $J/\Psi$, $\Psi(2S)$ and $\Upsilon(1S)$ direct and resolved photoproduction are investigated by including the quark Subprocesses in the framework of non-relativistic quantum chromodynamics (NRQCD). We find that the theoretical total cross section of heavy quarkonium productions are in good agreement with the data available at HERA, once the $\gamma q$, $qg$ and $qq$ Subprocesses in the heavy quark pair productions are taken into account. The inclusive diffractive rapidity and transverse momentum distributions of $J/\Psi$, $\Psi(2S)$ and $\Upsilon(1S)$ in $pp$, $pPb$ and $PbPb$ collisions at LHC are also studied by our quark improved NRQCD model combined with the resolved pomeron model. We find that the contributions from the quark involved Subprocesses can reach to $8\%$ in the rapidity distribution and $6\%$ in the transverse momentum distribution. The numerical results show that the contributions from quark involved Subprocesses are significant in heavy quarkonium photoprodution.

Adam R Aron - One of the best experts on this subject based on the ideXlab platform.

  • temporal cascade of frontal motor and muscle processes underlying human action stopping
    2020
    Co-Authors: Sumitash Jana, Ricci Hannah, Vignesh Muralidharan, Adam R Aron
    Abstract:

    Action-stopping is a canonical executive function thought to involve top-down control over the motor system. Here we aimed to validate this stopping system using high temporal resolution methods in humans. We show that, following the requirement to stop, there was an increase of right frontal beta (~13 to 30 Hz) at ~120 ms, likely a proxy of right inferior frontal gyrus; then, at 140 ms, there was a broad skeletomotor suppression, likely reflecting the impact of the subthalamic nucleus on basal ganglia output; then, at ~160 ms, suppression was detected in the muscle, and, finally, the behavioral time of stopping was ~220 ms. This temporal cascade supports a physiological model of action-stopping, and partitions it into Subprocesses that are isolable to different nodes and are more precise than the behavioral latency of stopping. Variation in these Subprocesses, including at the single-trial level, could better explain individual differences in impulse control.

  • temporal cascade of frontal motor and muscle processes underlying human action stopping
    2019
    Co-Authors: Sumitash Jana, Ricci Hannah, Vignesh Muralidharan, Adam R Aron
    Abstract:

    Abstract Action-stopping is a canonical executive function thought to involve top-down control over the motor system. Here we aimed to validate this stopping system using high temporal resolution methods in humans. We show that, following the requirement to stop, there was an increase of right frontal beta (∼13 to 30 Hz) at ∼120 ms, likely a proxy of right inferior frontal gyrus; then, at 140 ms, there was a broad skeletomotor suppression, likely reflecting the impact of the subthalamic nucleus on basal ganglia output; then, at ∼160 ms, suppression was detected in the muscle, and, finally, the behavioral time of stopping was ∼220 ms. This temporal cascade confirms a detailed model of action-stopping, and partitions it into Subprocesses that are isolable to different nodes and are more precise than the behavioral speed of stopping. Variation in these Subprocesses, including at the single-trial level, could better explain individual differences in impulse control.

Christian Beste - One of the best experts on this subject based on the ideXlab platform.

  • Perception-action integration in young age—A cross-sectional EEG study
    2021
    Co-Authors: Roxane Dilcher, Christian Beste, Adam Takacs, Annet Bluschke, Eszter Tóth-fáber, Maximilian Kleimaker, Alexander Münchau
    Abstract:

    Humans differ in their capacity for integrating perceived events and related actions. The “Theory of event coding” (TEC) conceptualizes how stimuli and actions are cognitively bound into a common functional representation (or “code”), known as the “event file”. To date, however, the neural processes underlying the development of event file coding mechanisms across age are largely unclear. We investigated age-related neural changes of event file coding from late childhood to early adulthood, using EEG signal decompositions methods. We included a group of healthy participants (n = 91) between 10 and 30 years, performing an event file paradigm. Results of this study revealed age-related effects on event file coding processes both at the behavioural and the neurophysiological level. Performance accuracy data showed that event file unbinding und rebinding processes become more efficient from late childhood to early adulthood. These behavioural effects are reflected by age-related effects in two neurophysiological Subprocesses associated with the superior parietal cortex (BA7) as revealed in the analyses using EEG signal decomposition. The first process entails mapping and association processes between stimulus and response; whereas, the second comprises inhibitory control Subprocesses subserving the selection of the relevant motor programme amongst competing response options

  • dissociable electrophysiological Subprocesses during response inhibition are differentially modulated by dopamine d1 and d2 receptors
    2016
    Co-Authors: Christian Beste, Annkathrin Stock, Jorg T Epplen, Larissa Arning
    Abstract:

    Action control is achieved through a multitude of cognitive processes. One of them is the ability to inhibit responses, for which the dopaminergic systems is known to play an important role. Many lines of psychophysiological research substantiate that two distinct response inhibition Subprocesses exist, but it has remained elusive whether they can be attributed to distinct neurobiological factors governing the dopaminergic system. We, therefore, investigated this question by examining the effects of DRD1 (rs4532) and DRD2 (rs6277) receptor polymorphisms on electrophysiological correlates of response inhibition Subprocesses (i.e., Nogo-N2 and Nogo-P3) in 195 healthy human subjects with a standard Go/Nogo task. The results show that response inhibition performance at a behavioral level is affected by DRD1 and DRD2 receptor variation. However, from an electrophysiological point of view these effects emerge via different mechanisms selectively affected by DRD1 and DRD2 receptor variation. While the D1 receptor system is associated with pre-motor inhibition electrophysiological correlates of response inhibition processes (Nogo-N2), the D2 receptor system is associated with electrophysiological correlates of outcome evaluation processes. Dissociable cognitive-neurophysiological Subprocesses of response inhibition are hence attributable to distinct dopamine receptor systems.

  • the impact of mental workload on inhibitory control Subprocesses
    2015
    Co-Authors: Witold X Chmielewski, Annkathrin Stock, Moritz Muckschel, Christian Beste
    Abstract:

    The inhibition of inappropriate responses is a function known to rely on prefrontal cortex (PFC) functioning. Similarly, working memory processes are known to rely on the PFC. Even though these processes are usually closely intertwined and the functional neuroanatomy underlying these processes is largely overlapping, the influence of working memory load on inhibitory control process has remained largely elusive. In the current study, we therefore examine how response inhibition processes are modulated by working memory load. For this, we systematically increased the working memory load of participants by integrating mental rotation processes in a Go/NoGo paradigm. To examine the system neurophysiology of these processes in detail, and to examine whether there are differential effects of working memory load on distinct response inhibition Subprocesses, we applied event-related potentials (ERPs) in combination with source localization techniques. The data shows that after exceeding a certain threshold, inhibitory control processes are aggravated by working memory load. The neurophysiological data paralleled the behavioral data. However, it suggests that distinguishable response inhibition Subprocesses are differentially modulated by working memory load: Changes were evident in the NoGo-P3 amplitude but not in the NoGo-N2 amplitude. On a system level, this distinctive modulation of response inhibition Subprocesses was related to differences in neural activity in the left inferior and middle frontal gyri. We show that inhibitory control processes are impaired when the working memory load surpasses a certain threshold. This, however only applies to situations in which the necessity of inhibitory control processes cannot be easily detected on the basis of perceptual factors.

  • Response inhibition Subprocesses and dopaminergic pathways: Basal ganglia disease effects
    2010
    Co-Authors: Christian Beste, Rita Willemssen, Carsten Saft, Michael Falkenstein
    Abstract:

    Response inhibition is a component of executive functions, which can be divided into distinct Subprocesses by means of event-related potentials (ERPs). These Subprocesses are (pre)-motor inhibition and inhibition monitoring, which are probably reflected by the Nogo-N2 and Nogo-P3, respectively. Here we ask, if these Subprocesses may depend on distinct basal ganglia subsystems. We examined response inhibition processes in an extended sample of young and elderly subjects, patients with Parkinson's disease (PD) and Huntington' disease (HD). This combination of groups also allow us to study whether, and to what degree, pathological basal ganglia changes and healthy aging have similar and/or different effects on these processes. We show that Subprocesses of response inhibition are differentially modulated by distinct basal ganglia circuits. Processes related to (pre)-motor inhibition appear to be modulated by the nigrostriatal system, and are sensitive to aging and age-related basal ganglia diseases (i.e. PD). Parkinson's disease induces additive effects of aging and pathology. In contrast, inhibition monitoring is most likely modulated by the mesocortico-limbic dopamine system. These processes are equally affected in healthy aging and both basal ganglia diseases (i.e. PD, HD).

Sumitash Jana - One of the best experts on this subject based on the ideXlab platform.

  • temporal cascade of frontal motor and muscle processes underlying human action stopping
    2020
    Co-Authors: Sumitash Jana, Ricci Hannah, Vignesh Muralidharan, Adam R Aron
    Abstract:

    Action-stopping is a canonical executive function thought to involve top-down control over the motor system. Here we aimed to validate this stopping system using high temporal resolution methods in humans. We show that, following the requirement to stop, there was an increase of right frontal beta (~13 to 30 Hz) at ~120 ms, likely a proxy of right inferior frontal gyrus; then, at 140 ms, there was a broad skeletomotor suppression, likely reflecting the impact of the subthalamic nucleus on basal ganglia output; then, at ~160 ms, suppression was detected in the muscle, and, finally, the behavioral time of stopping was ~220 ms. This temporal cascade supports a physiological model of action-stopping, and partitions it into Subprocesses that are isolable to different nodes and are more precise than the behavioral latency of stopping. Variation in these Subprocesses, including at the single-trial level, could better explain individual differences in impulse control.

  • temporal cascade of frontal motor and muscle processes underlying human action stopping
    2019
    Co-Authors: Sumitash Jana, Ricci Hannah, Vignesh Muralidharan, Adam R Aron
    Abstract:

    Abstract Action-stopping is a canonical executive function thought to involve top-down control over the motor system. Here we aimed to validate this stopping system using high temporal resolution methods in humans. We show that, following the requirement to stop, there was an increase of right frontal beta (∼13 to 30 Hz) at ∼120 ms, likely a proxy of right inferior frontal gyrus; then, at 140 ms, there was a broad skeletomotor suppression, likely reflecting the impact of the subthalamic nucleus on basal ganglia output; then, at ∼160 ms, suppression was detected in the muscle, and, finally, the behavioral time of stopping was ∼220 ms. This temporal cascade confirms a detailed model of action-stopping, and partitions it into Subprocesses that are isolable to different nodes and are more precise than the behavioral speed of stopping. Variation in these Subprocesses, including at the single-trial level, could better explain individual differences in impulse control.