Events In Process Research Articles

Estimating soil hydraulic properties from oven-dry to full saturation using shortwave infrared imaging and inverse modeling

To minimize uncertainty related to soil processes in extreme events, we need accurate soil hydraulic properties across the entire range of soil water content. However, conventional methods are time-consuming and limited to specific ranges. To estimate soil hydraulic properties throughout the entire range, we conducted inverse modeling using upward infiltration experiments, where a shortwave infrared imaging camera was used to obtain high-resolution soil moisture data in space and time. Because the commonly used van Genuchten–Mualemmodel is unsuitable for describing soil hydraulic properties for dry conditions, we tested an alternative model, the Peters-Durner-Iden model, which considers both capillary and film water. The inverse modeling successfully estimated soil hydraulic properties for sandy loam and loam soils, and we demonstrated that the Peters-Durner-Iden model captured soil moisture dynamics better than the van Genuchten–Mualemmodel for dry conditions. However, both models could not adequately describe the soil moisture data for the other soils. The direct observation of the water flow via shortwave infrared images clarified that the reduced success was because of violating the one-dimensional flow assumption for coarse-textured soils and the micro-heterogeneity in soil hydraulic properties for soils with fine silt and clay materials.

Thermodynamics of doxorubicin - bile salt association: An investigation based on isothermal titration calorimetry

Association of doxorubicin (DOX), a positively charged anthracycline, with bile salts (sodium cholate, NaC; sodium deoxycholate, NaDC, and sodium taurodeoxy cholate, NaTDC) has been studied by isothermal titration calorimetry (ITC). These bile salts form micelles in physiological conditions, and subsequent micellization parameters vary in accordance to their hydrophobicity. In this study, we show that thermodynamics of micellization of bile salts can be modulated via incorporation of DOX and changes in solution temperature. DOX incorporation was accompanied with reduction in critical micelle concentration (CMC) of bile salts. This was mediated through expulsion of structured water from the hydrophobic part of bile salt, and it was verifiable from the appearance of additional thermodynamic events in demicellization process. Interestingly, free energy of bile salts increased upon adding DOX which is suggestive of loss in the spontaneity of their micellization following this association. We assert that micelle formation in case of bile salt – DOX complex may not have occurred instantly. Instead, it was preceded by a bile salt - DOX equilibrium as a result of changes in the interfacial characteristics of bile salts in question.

Inference for New Environmental Contours Using Extreme Value Analysis

AbstractEnvironmental contours are often used in engineering applications to describe risky combinations of variables according to some definition of an exceedance probability. These contours can be used to both understand multivariate extreme events in environmental processes and mitigate against their effects, e.g. in the design of structures. Such ideas are also useful in other disciplines, with the types of extreme events of interest depending on the context. Despite clear connections with extreme value modelling, much of this methodology has so far not been exploited in the estimation of environmental contours; in this work, we provide a way to unify these areas. We focus on the bivariate case, introducing two new definitions of environmental contours. We develop techniques for their inference which exploit a non-standard radial and angular decomposition of the variables, building on previous work for estimating limit sets. Specifically, we model the upper tails of the radial distribution using a generalised Pareto distribution, with adaptable smoothing of the parameters of this distribution. Our methods work equally well for asymptotically independent and asymptotically dependent variables, so do not require us to distinguish between different joint tail forms. Simulations demonstrate reasonable success of the estimation procedure, and we apply our approach to an air pollution data set, which is of interest in the context of environmental impacts on health.Supplementary materials accompanying this paper appear online.

A Process Mining Method for Inter-organizational Business Process Integration

Business process integration (BPI) allows organizations to connect and automate their business processes in order to deliver the right economic resources at the right time, place, and price. BPI requires the integration of business processes and their supporting systems across multiple autonomous organizations. However, such integration is complex and can face coordination complexities that occur during the resource exchanges between the partners’ processes. This article proposes a new method called Process Mining for Business Process Integration (PM4BPI) that helps process designers to perform BPI by creating new process models that cross the boundaries of multiple organizations from a collection of process event logs. PM4BPI uses federated process mining techniques to detect incompatibilities before the integration of the partners’ processes. Then, it applies process adaptation patterns to solve detected incompatibilities. Finally, organizations’ processes are merged to build a collaborative process model that crosses the organizations’ boundaries. Adapt WF_Net , an extension of a Petri net, is used to design inter-organizational business processes and adaptation patterns. An integrated care pathway is used as a case study to assess the applicability and effectiveness of the proposed method.

The popular gene of hot event: A hot event propagation mechanism based on information coupling and information energy interaction

Recently, the research on the propagation of hot events has received widespread attention. By analyzing the data of hot events and the data of the common events in the same period on the network, we found that hot events usually break out quickly and opinion leaders and cluster behaviors exist in their propagation process. At the same time, the media public opinion fields of reporting hot events overlap and promote each other. Based on the common factors that drive an event to become a hot event, we used the heat calculation formula and entropy method to put forward the propagation model of hot events based on information coupling and information energy interaction. In the model, the coupling values of different event information are quantified based on the information fragment coupling effect. The heat calculation formula is used to dynamically adjust the propagation probability of different individuals in the propagation process of hot event, and the sensational effect threshold is introduced based on the overall energy value of the event. Finally, we used the real social relationship networks to simulate the evolution propagation process of the hot events, and compared it with the crawling real propagation curve of the events. The proposed model provides a good supplement for the study of the hot events.

Sampling business process event logs with guarantees

SummaryEvent log sampling has emerged as a key research focus in the field of process mining, aiming to enhance the efficiency of various process mining tasks, including model discovery, conformance checking, and process prediction. However, current log sampling techniques often fail to ensure high‐quality sample logs. This paper introduces a novel framework to support efficient event log sampling without compromising the quality of the sample log compared to the original one. The approach revolves around the consideration of directly‐follows relation (DFR) among business tasks as the fundamental behavior unit of an event log. By ensuring the DFR equivalence between the original and sample logs, the proposed technique addresses the challenge of sample log quality from the model discovery point of view. The framework is instantiated by seven distinct sampling strategies each has its own specialty and is fully implemented in the open‐source process mining tool platform ProM. To validate its effectiveness, we conducted a comprehensive experimental evaluation using 12 publicly available real‐life event logs against state‐of‐the‐art sampling techniques. The results clearly demonstrate that our technique significantly improves model discovery efficiency while upholding high quality of the discovered models.

Energy budget characteristics of the subseasonal Scandinavian pattern

Based on daily Japanese 55-year reanalysis data, this study analysed the daily energy budget characteristics of 94 Scandinavian (SCA) events in the positive phase during 62 winters from 1958 to 2020. Low-frequency circulation anomalies characterize the SCA events. The maintenance of low-frequency anomalies mainly comes from the extraction of both available potential energy (APE) and kinetic energy (KE) from the background field during both the developing stage and the decaying stage. This energy conversion characteristic is related to the “locking” effect of the background field. During the developing stage, the interactions among the low-frequency circulation anomalies continuously generate KE, which is the main source for initiating the primary circulation anomalies around western Europe and the Scandinavian Peninsula. Meanwhile, the horizontal KE advection maintains the KE of the circulation anomalies around Lake Baikal. The decay process of the SCA events is mainly related to the damping effect on the APE due to diabatic heating and the interactions among the low-frequency circulation anomalies. The SCA event is a type of atmospheric internal dynamic pattern.

Intermittent Criticality Multi‐Scale Processes Leading to Large Slip Events on Rough Laboratory Faults

AbstractWe discuss data of three laboratory stick‐slip experiments on Westerly Granite samples performed at elevated confining pressure and constant displacement rate on rough fracture surfaces. The experiments produced complex slip patterns including fast and slow ruptures with large and small fault slips, as well as failure events on the fault surface producing acoustic emission bursts without externally‐detectable stress drop. Preparatory processes leading to large slips were tracked with an ensemble of ten seismo‐mechanical and statistical parameters characterizing local and global damage and stress evolution, localization and clustering processes, as well as event interactions. We decompose complex spatio‐temporal trends in the lab‐quake characteristics and identify persistent effects of evolving fault roughness and damage at different length scales, and local stress evolution approaching large events. The observed trends highlight labquake localization processes on different spatial and temporal scales. The preparatory process of large slip events includes smaller events marked by confined bursts of acoustic emission activity that collectively prepare the fault surface for a system‐wide failure by conditioning the large‐scale stress field. Our results are consistent overall with an evolving process of intermittent criticality leading to large failure events, and may contribute to improved forecasting of large natural earthquakes.

Study on Chemical Activity of Electroless Copper Plating

Electroless copper plating of insulating substrates typically requires the pre-deposition of Pd/Sn catalyst layer onto the surface to initiate the chemical reactions; Accordingly, it’s high-profile process to achieve efficient Pd/Sn cluster adhesion and good copper plating performance. This paper showed copper thickness and dimple hole depth of the electroless plating were affected by chemicals following different activation times. The composition, microstructure, size and roughness evolution were characterized using Transmission Electron Microscope (TEM). The structural studies revealed that copper particle size depends not only on the size and coverage of the Pd/Sn cluster, but also on the degree of activation of the chemicals. In order to make deposition copper more compact and uniform to decrease dimple hole depth, dummy boards are generally used to enhance the potion activity before electroless copper plating. This paper will provide chemical activity and plating efficiency relationship to avoid poor activity impact plating quality and process event.

The Role of Transglutaminase 2 in Cancer: An Update.

Transglutaminase type 2 (TG2) is the most ubiquitously expressed and well characterized member of the transglutaminase family. It is a ubiquitous multifunctional enzyme implicated in the regulation of several cellular pathways that support the survival, death, and general homeostasis of eukaryotic cells. Due to its multiple localizations both inside and outside the cell, TG2 participates in the regulation of many crucial intracellular signaling cascades in a tissue- and cell-specific manner, making this enzyme an important player in disease development and progression. Moreover, TG2 is capable of modulating the tumor microenvironment, a process of dynamic tissue remodeling and biomechanical events, resulting in changes which influence tumor initiation, growth, and metastasis. Even if generally related to the Ca2+-dependent post-translational modification of proteins, a number of different biological functions have been ascribed to TG2, like those of a peptide isomerase, protein kinase, guanine nucleotide binder, and cytosolic-nuclear translocator. With respect to cancer, TG2's role is controversial and highly debated; it has been described both as an anti- and pro-apoptotic factor and is linked to all the processes of tumorigenesis. However, numerous pieces of evidence support a tissue-specific role of TG2 so that it can assume both oncogenic and tumor-suppressive roles.

Alternative polyadenylation profiles of susceptible and resistant rice (Oryza sativa L.) in response to bacterial leaf blight using RNA-seq.

Alternative polyadenylation (APA) is an important pattern of post-transcriptional regulation of genes widely existing in eukaryotes, involving plant physiological and pathological processes. However, there is a dearth of studies investigating the role of APA profile in rice leaf blight. In this study, we compared the APA profile of leaf blight-susceptible varieties (CT 9737-613P-M) and resistant varieties (NSIC RC154) following bacterial blight infection. Through gene enrichment analysis, we found that the genes of two varieties typically exhibited distal poly(A) (PA) sites that play different roles in two kinds of rice, indicating differential APA regulatory mechanisms. In this process, many disease-resistance genes displayed multiple transcripts via APA. Moreover, we also found five polyadenylation factors of similar expression patterns of rice, highlighting the critical roles of these five factors in rice response to leaf blight about PA locus diversity. Notably, the present study provides the first dynamic changes of APA in rice in early response to biotic stresses and proposes a possible functional conjecture of APA in plant immune response, which lays the theoretical foundation for in-depth determination of the role of APA events in plant stress response and other life processes.

Statistical Depth in Spatial Point Process

Statistical depth is widely used as a powerful tool to measure the center-outward rank of multivariate and functional data. Recent studies have introduced the notion of depth to the temporal point process, which exhibits randomness in the cardinality as well as distribution in the observed events. The proposed methods can well capture the rank of a point process in a given time interval, where a critical step is to measure the rank by using inter-arrival events. In this paper, we propose to extend the depth concept to multivariate spatial point process. In this case, the observed process is in a multi-dimensional location and there are no conventional inter-arrival events in the temporal process. We adopt the newly developed depth in metric space by defining two different metrics, namely the penalized metric and the smoothing metric, to fully explore the depth in the spatial point process. The mathematical properties and the large sample theory, as well as depth-based hypothesis testings, are thoroughly discussed. We then use several simulations to illustrate the effectiveness of the proposed depth method. Finally, we apply the new method in a real-world dataset and obtain desirable ranking performance.

Qualitative study of knowledge and attitudes of husbands in dealing with wives who have nausea and vomiting in the first trimester at PMB D

Background: Predisposing factors in the occurrence of emesis gravidarum are psychosocial factors. During pregnancy, attention from family members is needed by the mother, especially the attention of the husband. Small things that husbands do have significant meaning in improving psychological health in a better direction. Purpose of Writing: To obtain in-depth information about the husband's knowledge and attitudes in dealing with a wife who has nausea and vomiting in the first trimester at PMB D. Research Methods: This study used a qualitative method by conducting in-depth interviews (depth interviews) and FGD (Focus Group Discussion), namely to obtain in-depth information about the knowledge and attitudes of husbands in dealing with wives who have nausea and vomiting in the first trimester, so that it is possible to obtain implicit information (insight). Research Results: Knowledge of husbands in dealing with wives who have nausea and vomiting in the first trimester shows that there are still many informants who have poor knowledge about the causes, symptoms and complications of nausea and vomiting in pregnancy. The husband's attitude in dealing with his wife who had nausea and vomiting in the first trimester showed that most of the informants had a positive attitude as shown by paying attention, namely buying food such as fruit to relieve nausea, encouraging mothers to avoid spicy/sour foods, always accompanying mothers to check their pregnancy and being more understanding of what pregnant women feel. Conclusions and Suggestions: The results of this study are expected to provide health education about nausea and vomiting in pregnancy, especially husbands who are involved in the counseling process and outreach events for pregnant women classes.

Machine Learning-Supported Designing of Human–Machine Interfaces

The design and functionality of the human–machine interface (HMI) significantly affects operational efficiency and safety related to process control. Alarm management techniques consider the cognitive model of operators, but mainly only from a signal perception point of view. To develop a human-centric alarm management system, the construction of an easy-to-use and supportive HMI is essential. This work suggests a development method that uses machine learning (ML) tools. The key idea is that more supportive higher-level HMI displays can be developed by analysing operator-related events in the process log file. The obtained process model contains relevant data on the relationship of the process events, enabling a network-like visualisation. Attributes of the network allow us to solve the minimisation problem of the ideal workflow–display relation. The suggested approach allows a targeted process pattern exploration to design higher-level HMI displays with respect to content and hierarchy. The method was applied in a real-life hydrofluoric acid alkylation plant, where a proposal was made about the content of an overview display.

Modeling Parking Choice Behavior Using Cumulative Prospect Theory

In order to capture the driver’s attitude and preference towards risk during the decision-making process, this paper establishes a parking choice model considering driver heterogeneity based on the cumulative prospect theory. This research innovatively considers the influence of the unreliability of cruise time on drivers’ parking choice behavior and adds the psychological cost of drivers’ anxiety caused by lateness into the model. At the same time, according to the driver’s parking preference for parking, the latent category model is used to divide the driver into time-sensitive and money-sensitive categories. This paper analyzes the influence of unreliable cruising time on drivers’ parking choice behavior and finds that drivers have the characteristics of overestimating high-probability events and underestimating low-probability events in the decision-making process. By comparing the parking choice results of rational and irrational drivers, it is found that the model considering the risk attitude of drivers in the decision-making process is more in line with reality.

A classification and recognition algorithm of key figures in public opinion integrating multidimensional similarity and K-shell based on supernetwork

In online public opinion events, key figures are crucial to the formation and diffusion of public opinion, to the evolution and dissemination of topics, and to the guidance and transformation of the direction of public opinion. Based on the four-dimensional public opinion communication supernetwork (social-psychology-opinion-convergent), this study proposes a classification and recognition algorithm of key figures in online public opinion that integrates multidimensional similarity and K-shell to identify the key figures with differentiation in online public opinion events. The research finds that the evolutionary process of public opinion events is the joint action of key figures with different roles. The opinion leader is the key figure in the global communication of public opinion. The focus figure is the core figure that promotes the dissemination of public opinion on local subnetworks. The communication figure is the “bridge” node in the cross-regional communication of public opinion. Through the algorithm verification of the case “China Eastern Airlines Passenger Plane Crash Event”, we find that the algorithm proposed in this paper has advantages in feasibility, sensitivity, and effectiveness, compared with traditional algorithms such as CI, forwarding volume, degree centrality, K-shell, and multidimensional similarity. The classification and recognition algorithm proposed in this study can not only identify multirole key figures simultaneously but also improve the recognition granularity and eliminate the interference of core-like nodes.

Untangling the complex implementation process of community-based health promotion: a multiple-case study in the Netherlands.

Community-based programmes are a widely implemented approach for population health promotion. Due to the context-dependent and dynamic nature of these programmes, evaluating their implementation is challenging. Identifying key events in the implementation process in evaluation could enable us to support future implementation, while acknowledging the complexity of real-world implementation. We studied the nationwide implementation of the Dutch Healthy Youth, Healthy Future (JOGG) approach, a community-based programme for childhood overweight prevention. The aims of our study were (i) to gain insights into the implementation process of the JOGG approach, and (ii) to identify key events that influenced said process. In nine communities, we conducted interviews (n = 24) with coordinators and stakeholders involved in the implementation of the JOGG approach and collected documents on the programme's implementation. We applied the analytical tool 'Critical Event Card' to identify key events in the implementation process. Results showed that in 5-10 years of implementing the JOGG approach, communities have undergone different phases: preparation, upscaling, resource mobilization, integration with other policy initiatives and adaptation of the implementation strategy. Key events influencing the implementation process included national policy developments (e.g. new health programmes), framing of the JOGG approach in local policy, staff turnover and coordination teams' experiences and actions. Furthermore, changes in implementation were often triggered by the destabilization of the implementation process and linked to opportunities for change in the policy process. The identified key events can inform future implementation of the JOGG approach as well as other community-based health promotion programmes.

Recent Advances in Solvent-free Organic Transformation via Iron-doped Nanocatalyst

Abstract: This article highlights current developments in iron-doped nanocatalyst-based solvent-free organic reactions. These catalysts have the potential to speed up processes under safe environmental settings and eliminate the need for hazardous organic solvents. Its application in a variety of fields is mostly due to its superparamagnetic nano diameters, which are affordable, easily separable, reusable, and eco-friendly. Thus, the present review article focuses on the compendious account of various doped iron nanocatalysts reported catalyzing organic transformation, including synthesis of bioactive compounds, condensation, multicomponent, annulation, esterification, coupling, alkylation, acylation reactions. The development of innovative, highly active, and reusable magnetic iron nanocomposite catalysts is crucial for the future of catalysis as it will pave the way for the creation of environmentally friendly and sustainable technology. The review will provide valuable insights for researchers who are designing new functionalized doped iron catalysts or utilizing these catalysts for various organic transformations that promote sustainable development. The development of new precursors and synthesis techniques, as well as recent improvements in the synthesis of these catalysts, are described. The article also emphasizes the significance of comprehending the underlying processes of these catalytic events, as well as the difficulties and possibilities for further study in this field. The potential of iron-doped nanocatalysts as an environmentally friendly and long-lasting method of organic synthesis is emphasized throughout this review.

On some features of the system for forming the cadres of Chinese regional elites during the period from 2007 to 2019

This article is the second part of a large study on the internal policy system of the PRC, continuing the analysis of intra-party struggle in the CCP by classifying details of the biographies and terms of office of individual party officials. The correlations between the implementation of political-administrative power by certain individuals and economic transformations in the regions where they exercised their power are also examined. This research also focuses on the issue of continuity between different systems of organizing political power within the CCP, as well as on crises in this continuity, indirectly raising the question of intra-elite conflicts in the CCP. This issue is addressed by identifying career types of party officials, examining changes in the proportions of these types, and correlating these changes with known events in intra-political struggles and economic processes. The research shows that, despite the claims of some researchers, the political crisis in the PRC generally preceded the global economic crisis of 2008. This crisis reflects a shift in the system of power organization formed at the beginning of the policy of reforms and openness, and may have far-reaching consequences for the domestic and global political landscape.

Altered expression of angiogenic factors in dominant preovulatory follicles of dairy cattle treated with ACTH

Studies in cows have reported that ovulation, steroidogenesis and angiogenesis are affected by stress and consequently fertility decreases. The purpose of this study was to evaluate the effects of ACTH administration during the preovulatory period on the expression of growth factors (CD-31, PDGF-A, PDGF-B, VEGFA-164, VEGFA-164b, VEGF-R1 and VEGF-R2) associated with the angiogenic process by immunohistochemistry in cows (n = 14). Results evidenced the expression of these growth factors in theca and granulosa cells from antral, atretic and dominant preovulatory follicles of ACTH-treated cows, suggesting that, under stress conditions, their expression continues to be required. VEGFA-164, VEGF-R1 and VEGF-R2 expression was greater in theca cells of dominant preovulatory follicles of the ACTH-treated group than in those of the control group. CD-31 protein expression was lower in the dominant preovulatory follicles of the ACTH-treated group than in those of the control group. PDGF-A and PDGF-B expression did not differ between groups, either in granulosa or in theca cells. These results suggest that VEGFA-164, its receptors and CD-31 are actors in the normal cycle of the ovaries and could have greater pathophysiological importance in the altered angiogenic process and other events that occur during anovulation and stress conditions. This dysregulation reinforces the importance of the angiogenic process in the pathophysiology of cystic ovarian disease in cows. This is the first report on the expression and localization of components of the VEGF and PDGF systems and CD-31 in cells from dominant preovulatory follicles after ACTH administration.