Execution State Research Articles

Development of a Process Digital Twin in Camunda Modeler

Business process modeling is one of the most important steps in managing the lifecycle of a business process. A digital twin of a business process is a virtual model of a business process designed to replicate the behavior of a real business process. The difference between a digital twin and a business process simulation is that the simulation does not require real-time data, while a digital twin is created based on real-time data. A digital twin comprises a physical entity in the real world, a software-based digital counterpart, and the data that links them both. When a created process communicates in real time with IoT devices and adapts its execution based on the information received in real time, this is referred to as a process digital twin. As the field of digital twins becomes increasingly popular, the challenge is to investigate how the process digital twin communicates with IoT devices in real time and updates its execution state.

HSESR: Hierarchical Software Execution State Representation for Ultralow-Latency Threat Alerting Over Internet of Things

HSESR: Hierarchical Software Execution State Representation for Ultralow-Latency Threat Alerting Over Internet of Things

Clinical usefulness of the Verbal Fluency Index (VFI) in amyotrophic lateral sclerosis.

This study aimed at assessing the clinical utility of the Verbal Fluency Index (VFI) over a classical phonemic verbal fluency test in Italian-speaking amyotrophic lateral sclerosis (ALS) patients. N = 343 non-demented ALS patients and N = 226 healthy controls (HCs) were administered the Verbal fluency - S task from the Edinburgh Cognitive and Behavioural ALS Screen (ECAS). The associations between the number of words produced (NoW), the time to read words aloud (TRW) and the VFI (computed as [(60"-TRW)/NoW]) on one hand and both bulbar/respiratory scores from the ALS Functional Rating Scale - Revised (ALSFRS-R) and the ECAS-Executive on the other were tested. Italian norms for the NoW and the VFI were derived in HCs via the Equivalent Score method. Patients were classified based on their impaired/unimpaired performances on the NoW and the VFI (NoW-VFI-; NoW-VFI+; NoW + VFI-; NoW + VFI+), with these groups being compared on ECAS-Executive scores. The VFI, but neither the NoW nor the TRW, were related to ALSFRS-Bulbar/-Respiratory scores; VFI and NoW measures, but not the TRW, were related to the ECAS-Executive (p < .001). The NoW slightly overestimated the number of executively impaired patients when compared to the VFI (31.1% vs. 26.8%, respectively). Patients with a defective VFI score - regardless of whether they presented or not with a below-cutoff NoW - reported worse ECAS-Executive scores than NoW + VFI + ones. The present reports support the use of the Italian VFI as a mean to validly assess ALS patients' executive status by limiting the effect of motor disabilities that might undermine their speech rate.

Multi-UAVs task allocation method based on MPSO-SA-DQN

Multi-UAVs play an important role in the battlefield. Although many methods are proposed to solve the Multi-UAV task allocation, there still existing the problems of complex time constraints and uncertain solution space. The reason is that multi-UAVs usually face changing environmental factors. Aiming at solving such problem, this paper proposes a multi-UAV task assignment method based on Deep Q-based evolutionary reinforcement learning algorithms (MPSO-SA-DQN). Specifically, this method builds a multi-agent training framework based on the deep evolutionary reinforcement learning mechanism and SA-DQN. Its aim is to improve the global exploration and optimization capabilities of multi-agents. At the same time, the multi-dimensional particle swarm optimization algorithm is introduced to optimize the state space. Based on task priority mapping, the MPSO-SA-DQN algorithm framework is proposed. As a result, multi-agents can optimize the execution state in real time in the environment interaction. Besides, it also has the ability to reach optimal state and maximum reward. According to the characteristics of multi-UAV global task assignment, this paper designs a priority state space autoencoder strategy and global task feature. A multi-UAVs tasks allocation and iterative optimization method based on MPSO-SA-DQN algorithm is proposed, so as to continuously optimize the task allocation scheme. The simulation results show that the multi-UAV task allocation method based on MPSO-SA-DQN can effectively solve the problem of uncertainty in the optimal solution space of task allocation. At the same time, the algorithm achieves faster convergence result, and a good prospect of promotion in the field of UAV swarm cooperative task planning.

The curious genealogy of the “executive state”: A critical review of the latest administrative reform in Greece

Abstract This article critically discusses the latest reform of the Greek administration system, which took the form of an Act establishing an “executive state.” It intends to make two contributions to the existing literature. First, it offers a critique of the executive state. Existing critiques generally focus on the bureaucratic concentration of powers in the office of the Prime Minister or the abandonment of positive elements found in previous reform attempts. However, they largely accept the reform as a technical response to the crisis. In contrast, this article presents a comprehensive critique that fully addresses the historic origins and contemporary significance of the notion and institutional forms of the executive state, revealing it as a political, rather than technical, measure that reflects deeper views about the relationship between the state, the economy, and society. Additionally, the article assesses the two main effects of this administrative reform—the centralization and depoliticization of policymaking—as manifestations of an authoritarian shift. The second contribution concerns the literature on authoritarian liberalism, which examines the authoritarian tendencies inherent in liberal forms and ideals. While several authors have explored the authoritarian tendencies of institutional reform in the face of crisis, this article seeks to explore the authoritarian phenomenon as part of a process of market capture and to examine its effects specifically on administrative law and structures. Ultimately, this article argues that administrative reform in Greece follows a rather sinister genealogy, and must be understood as an essential counterpart to the generalized and sustained attack on social and political rights following the dictates of the market.

PECULIARITIES OF INFORMATION AND ANALYTICAL SUPPORT IN DECISION-MAKING WITHIN GOVERNMENT BODIES

The modern world is increasingly entering the era of an information society, where the role of information becomes ever more significant. Information is accumulating rapidly and in large volumes, so quickly that people struggle to process and thoroughly comprehend the incoming information flow, leading to an overall reduction in usable information. In order to process relevant data effectively in the context of professional or other activities today, it is no longer sufficient to rely solely on traditional administrative experience to make informed management decisions. It is essential to incorporate scientific knowledge, comprehensive awareness, analytical and forecasting skills, as well as socio-political responsibilities, with an appropriate recognition of these processes. This is particularly relevant for public administration bodies—both central and regional levels of executive state power—and increasingly for local government authorities, which are gaining more authority as part of the decentralization process. In Ukraine, in particular, the ideology and framework for interaction between the state and society are changing, with an increased use of decentralization mechanisms that delegate specific functions and powers from state bodies (to varying degrees) to the level of territorial communities and even to civil society. The purpose of this article is to define the peculiarities of information and analytical support in the decision-making process within government bodies. The article systematizes approaches to information and analytical support in public administration. It identifies the subjects and objects of the information and analytical support system in state management processes and specifies the goals of such support. It justifies the need to highlight the key elements of the information and analytical support system for public administration. The article also outlines the principles guiding information and analytical activities conducted by government and local authorities. Levels of information and analytical work are established, taking into account the temporal dimension. Furthermore, the article identifies issues with information and analytical support in government bodies in Ukraine and suggests ways to address these challenges.

Adaptive scheduling-based fine-grained greybox fuzzing for cloud-native applications

Coverage-guided fuzzing is one of the most popular approaches to detect bugs in programs. Existing work has shown that coverage metrics are a crucial factor in guiding fuzzing exploration of targets. A fine-grained coverage metric can help fuzzing to detect more bugs and trigger more execution states. Cloud-native applications that written by Golang play an important role in the modern computing paradigm. However, existing fuzzers for Golang still employ coarse-grained block coverage metrics, and there is no fuzzer specifically for cloud-native applications, which hinders the bug detection in cloud-native applications. Using fine-grained coverage metrics introduces more seeds and even leads to seed explosion, especially in large targets such as cloud-native applications. Therefore, we employ an accurate edge coverage metric in fuzzer for Golang, which achieves finer test granularity and more accurate coverage information than block coverage metrics. To mitigate the seed explosion problem caused by fine-grained coverage metrics and large target sizes, we propose smart seed selection and adaptive task scheduling algorithms based on a variant of the classical adversarial multi-armed bandit (AMAB) algorithm. Extensive evaluation of our prototype on 16 targets in real-world cloud-native infrastructures shows that our approach detects 233% more bugs than go-fuzz, achieving an average coverage improvement of 100.7%. Our approach effectively mitigates seed explosion by reducing the number of seeds generated by 41% and introduces only 14% performance overhead.

The Greek Executive State Model: A Paradigm for Better Legislation

Abstract This paper presents and critically assessed the implementation of the executive state model in Greek law-making, and identifies the elements of the model that are transferable elsewhere. The first four years of extensive legislative reforms in application of the executive state model have produced tangible innovations fertile to better law-making. But the real challenge, the change of legislative mentality, resists.

HOW THE IMPACT OF FINANCIAL PERFORMANCE OF SMEs ON BANK CREDIT ACCESS DIFFER DEPENDING ON EXECUTIVE-LEVEL CHARACTERISTICS?

Financial performance of SMEs (small and medium-sized enterprises) plays a crucial role in bank credit access of these enterprises and the economies of countries where they operate. However, firm’ executives' Resource-based View (RBV) characteristics can differently affect financial performance of SMEs that they manage, therefore, credit access of SMEs can differ. In this regard, this paper purposes to analyze whether the impact of financial performance on bank access to finance differs depending on executives’ educational status, gender and sectoral experience or not. In line with this aim, this research collects data from 479 randomly selected respondents by directing an online questionnaire. After that, the research data is analyzed by employing a Binary Logistic Regression Test. According to the results, the impact of financial performance on credit access differs depending on gender and sectoral experience of firms’ executives. However, educational status of firm executives does not play any role in the impact of financial performance on access to finance.

Better Regulation and the Secretariat General for Legal and Parliamentary Affairs of the Presidency of the Hellenic Government: A Considerable Work Already in Progress

Abstract This paper article scrutinizes the initiatives for Better Regulation implemented in Greece, set against the backdrop of a globalized world that is persistently grappling with sporadic, and occasionally dramatic and chaotic, challenges. A significant proportion of these initiatives are designed to mitigate the enduring adverse effects on Greece economy, environment, and society, which are the consequences of a flawed legislative process. This process has been criticized in numerous studies and reports for its bureaucratic red tape, inefficiency, fragmentation, and lack of a culture promoting better regulation. The handbooks and methodologies examined in this article originate from the law on the Executive State and were executed under the auspices of the European Commission (DG REFORM) Technical Support Action, which was implemented by Expertise France and is titled: “Support Public Administration Reform and its Digital Transformation.” Most of these initiatives have been successfully completed and implemented, while the completion of others is imminent. In conclusion, the author suggests several additional measures for implementation, which are intended to enhance the reforms that are already in place.

Decabinetisation as a presidentialisation strategy: a process-tracing analysis of the executive state law in Greece

ABSTRACT This paper develops and empirically tests the novel concept of ‘decabinetisation’, a type of depoliticisation reform that affects the advisory and support offices of executive politicians. Reforms that restrict and constrain the work of ministerial advisers and reduce the political resources of ministers are puzzling, even more so when pressure to reform ministerial offices is absent. To understand why governments undermine a system that has been put in place to serve them, this paper investigates the provisions of Law 4622/2019 on the Executive State in Greece, using ‘theory-building process-tracing’ based on data collected from government documents and 23 elite interviews. Initially selected as an extreme case of second-order decabinetisation in the absence of pressure to reform, the study morphed into a more typical case that exemplifies how ministerial office reforms can be the result of strategic forms of presidentialisation. Decabinetisation can be triggered by the Prime Minister’s intention to ‘presidentialise’ the core executive in face of centre-of-government dysfunctionalities; policy entrepreneurs couple the problem and politics stream with the decabinetisation policy; but the reform becomes possible only in the presence of a critical juncture during which the power asymmetry between the head of government and other members of government is big.

Power play in carbon trading market: How status of executives with R&D background incentives companies’ low-carbon innovation

Utilizing the phased initiation of carbon trading pilot projects in eight provinces and municipalities in China from 2013 to 2016 as a quasi-natural experiment, this study matches micro-level data on low-carbon patents and financial information of publicly listed companies from 2009 to 2019. Employing a staggered difference-in-differences framework, it assesses the impact and mechanisms through which the distribution of executive power, among those with R&D backgrounds, influences firms' low-carbon innovation capabilities against the backdrop of a carbon emission trading scheme. The status of executives with R&D backgrounds is characterized by their relative ranking within the team, as denoted in the companies' financial statements. Findings indicate that the carbon emission trading significantly fosters the output of low-carbon patents by firms, with executives possessing R&D backgrounds further enhancing the level of low-carbon innovation. This effect is more pronounced in privately-owned and small to medium-sized enterprises. Further analysis suggests that increasing R&D investment and personnel ratios, correcting managerial overconfidence and myopia, and enhancing corporate attention to green strategies are channels through which R&D-oriented executives lead to an improvement in firms' low-carbon innovation capabilities. The paper proposes government tax incentives and funds for R&D staff, stricter ESG standards for executive accountability, and regulations mandating green goals in company planning.

Expectation versus reality: How crisis statement essentials are evaluated by Gen Z stakeholders and crisis communication practitioners

AbstractAt the onset of a crisis, an initial organizational statement sets the tone for subsequent discussion. While existing literature provides strategic guidance, it offers limited insight into the message‐level execution of such statements. This study synthesizes insights from literature and trade publications to complement strategic literature by proposing a practical set of ‘crisis essentials’ which practitioners can leverage in composing an initial crisis statement. Upon identification of these elements from scholarly and industry literature, two online surveys presenting a hypothetical crisis scenario are released to Gen Z stakeholders and crisis communication practitioners in the United States; respondents rate the relative importance of each element. Gen Z was selected as the stakeholder population of interest due to their high activity on social media, their role as the talent which will be entering the workforce and eventually leadership roles, and the more limited existing analysis of this segment. Comparative analysis is conducted, based on two online surveys among adult individuals from these two populations, to evaluate whether gaps exist in stakeholder expectations and practitioner approaches. Findings reveal: the proposed elements (e.g., statement of the crisis, attribution, expert quote; 11 in total) were of nonzero importance to both Gen Z stakeholder respondents and crisis communication practitioner respondents, essentials related to the assuring stakeholders (e.g., action steps) were rated more highly than informational essentials (e.g., timeline), and importance ratings across survey samples were generally consistent. Practitioners should consider each of these proposed essentials when developing communication materials, and that while stakeholders expect sufficient information to understand a crisis event, they ultimately care about what the crisis means for the future of the organization. This study, grounded in crisis communication theory, provides a relevant, practical contribution to the implementation of effective strategic crisis communication in situations concerning Gen Z stakeholders.

PaCHNOC: Packet and Circuit Hybrid Switching NoC for Real-Time Parallel Stream Signal Processing.

Real-time heterogeneous parallel embedded digital signal processor (DSP) systems process multiple data streams in parallel in a stringent time interval. This type of system on chip (SoC) requires the network on chip (NoC) to establish multiple symbiotic parallel data transmission paths with ultra-low transmission latency in real time. Our early NoC research PCCNOC meets this need. The PCCNOC uses packet routing to establish and lock a transmission circuit, so that PCCNOC is perfectly suitable for ultra-low latency and high-bandwidth transmission of long data packets. However, a parallel multi-data stream DSP system also needs to transmit roughly the same number of short data packets for job configuration and job execution status reports. While transferring short data packets, the link establishment routing delay of short data packets becomes relatively obvious. Our further research, thus, introduced PaCHNOC, a hybrid NoC in which long data packets are transmitted through a circuit established and locked by routing, and short data packets are attached to the routing packet and the transmission is completed during the routing process, thus avoiding the PCCNOC setup delay. Simulation shows that PaCHNOC performs well in supporting real-time heterogeneous parallel embedded DSP systems and achieves overall latency reduction 65% compared with related works. Finally, we used PaCHNOC in the baseband subsystem of a real 5G base station, which proved that our research is the best NoC for baseband subsystem of 5G base stations, which reduce 31% comprehensive latency in comparison to related works.

Women in acute forensic psychiatric care: comparison of clinical, sociodemographic, and detention-related characteristics in pretrial detention, sentence execution, and court-ordered treatment

Compared to men inmates, women display decreased prevalence of severe mental disorder but increased occurrence of substance use disorders (SUD) and higher rates of previous contacts with mental health services. The group of women in detention is highly heterogeneous according to the status of incarceration (pre-trial detention (PTD), sentence execution (SE) and court ordered treatments (COT)). Studies focusing on the comparison of sociodemographic patterns, detention-related and clinical variables between these groups are still lacking. We explored these parameters in 136 women admitted for acute psychiatric care in the sole Geneva forensic unit during a nine year period (2014–2023). Sociodemographic and detention-related data included age, nationality, marital status, presence of children, education attainment, most frequently speaking language, social support, employment before conviction and type of offenses. Clinical variables included the main ICD-10 diagnosis, presence of concomitant SUD, type of personality disorders, presence of suicidal thoughts and attempts at admission, as well as number and mean duration of stays. PTD and SE women had at least 9 years of formal education in 38.9% and 30.3% of cases. Most women in PTD (77.7%), SE (56.6%) and COT (56.2%) groups were Swiss or European citizens. The level of French knowledge was excellent in most of the cases. 43.8% of COT women had at least one child and this percentage is even higher for PTD and SE cases. The employment rate before conviction was also quite high, mainly for PTD and SE (61.1% and 60.6%) and, in a lesser degree, for COT (43.8%) women. Significant social support was present in the vast majority of women without any significant group difference. The distribution of type of offenses did not differ between the three types of detention with a predominance of physical violence, and drug trafficking. The number of stays during the period of reference was significantly higher in COT compared to both SE and PTD women. History of previous inpatient care was also significantly more frequent in COT that SE and PTD women. Adjustment and affective disorders were more often found in SE and PTD cases, these diagnoses were absent in the COT group. In contrast, a main diagnosis of psychotic disorders was found in 62.5% of COT cases compared to only 21.2% in SE and 24.1% in PTD cases. The number of stays, history of inpatient care and diagnosis of psychosis were independent predictors of COT status. In conclusion, the present data reveal the good social integration and emotional support of women needing acute psychiatric care in prison independently of the type of detention. Clinically, women in PTD and SE display more often emotional distress whereas those in COT suffer from acute psychotic symptoms with previous history of psychiatric care and multiple inpatient stays.

Earnings management detection through budget execution. Insights from Greek municipalities

PurposeThis study examines specific budget execution items (as proxies of vulnerability and sustainability) along with political factors to identify earnings management (EM) practices in Greek municipalities.Design/methodology/approachThe study employs a sample of 1,831 financial and budget execution statements for the period 2011–2019. EM is proxied by unsigned discretionary accruals that are assessed through the performance-matched modified-Jones model and the modified-Jones model.FindingsThe findings provide evidence that the municipality’s dependence on subsidies (or its self-sufficiency) affects EM, especially during the pre-election year. Municipalities that maintain their financial autonomy engage less in EM in pre-election years. Lastly, it is proven that electoral cycles, weak opposition and other variables exert an effect on the size of EM. Sensitivity analysis confirms the results.Originality/valueThis paper contributes to the literature on EM by analyzing for the first time budget execution items (as proxies of vulnerability and sustainability) and their impact on the size of unsigned discretionary accruals.

Research the state of local budgets execution of Ukraine during wartime

The article examines the state of local budgets execution of Ukraine in wartime conditions, and finds out the main trends and identifies problematic points in local budgets implementation. The role of local budgets in overcoming challenges in wartime conditions through the financial basis for providing services at the local level, helping internally displaced persons, supporting relocated businesses, arranging shelters, and ensuring the fulfillment of socio-economic tasks at the local level have been characterized. The financial resources of local self-government have been described where the dominant place is occupied by local budget revenues. It was found that there were changes in the budget legislation in the conditions of martial law, which relate to the methods and ways of managing public finances, including local budgets through the simplification of the budget process procedure at the local level and the expansion of both the government and local authority’s powers in terms of management and use of budget funds. The dynamics and structure of local budget's revenues of Ukraine, as well as the implementation percentage of revenue's planned indicators of local budgets for the period 2020– 2022 and for January-August 2023 have been analyzed. The dynamics of local budget’s expenditures of Ukraine and the implementation percentage of expenditures planned indicators for 2020–2022 and for January-August 2023 have been studied. A comparison has been made of the total revenue and total expenditure of local budgets of Ukraine in 2020–2022, as well as for January-August 2023. The state of local budgets execution of Ukraine by general and special funds, as well as in general in 2021–2022 and for January-August 2023 has been studied. It was found out that, despite the war, the local budgets of Ukraine had an excess of revenues over expenditures, i.e., a budget surplus. Budget surplus was observed due to the influence of a number of factors, among which the growth of income from personal income tax and import VAT is significant. Problematic points in the execution of revenues and expenditures of local budgets of Ukraine during the wartime period have been indicated, including the occurrence of imbalances in local budgets and the need for further improvement of the national budget policy.

Legal Status of Execution of Liability Auction Winner through Parate Executie

Legal Status of Execution of Liability Auction Winner through Parate Executie

CanaryExp: A Canary-Sensitive Automatic Exploitability Evaluation Solution for Vulnerabilities in Binary Programs

We propose CanaryExp, an exploitability evaluation solution for vulnerabilities among binary programs protected by StackGuard. CanaryExp devises three novel techniques, namely canary leakage proof of concept generation, canary leaking analysis time exploitation, and dynamic canary-relocation-based exploitability evaluation. The canary leakage proof of concept input generation mechanism first traces the target program’s execution, transforming the execution state into some canary leaking state, from which some canary leaking input is derived. This input can be deemed as proof that some vulnerability that can lead to canary leakage exists. The canary leaking analysis time exploit generation then performs incremental analysis based on the canary leaking input, crafting analysis time exploit that can complete vulnerability exploitation in the analysis time environment. Based on the analysis time exploit, the dynamic canary-relocation-based exploitability evaluation component collects the necessary metadata, on which an exploitation session is automatically constructed that can not only leak the runtime canary and relocate it in the input stream but also evaluate the exploitability of the desired vulnerability. Using a benchmark containing six test programs, eight challenges from some network challenging events and four real-world applications, we demonstrate that CanaryExp can generate canary leaking samples more effectively than existing test case generation methods and automatically evaluate the exploitability for vulnerabilities among programs where the StackGuard protection mechanism is deployed.

Trace matrix optimization for fault localization

Fault localization (FL) techniques gather trace information as input data and analyze it to identify the relationship between program statements and failures. Therefore, the input trace matrix is essential for fault localization. However, the current trace matrix faces two main challenges. Firstly, the occurrences of coincidental correctness (CC), which refer to the execution of faulty statements that lead to correct program output, adversely impact the effectiveness of FL. Secondly, the significant disparity in the number of failing and passing test cases poses a data imbalance problem for fault localization. To overcome these issues, we propose TRAIN: a Two-stage tRace mAtrix optImizatioN method for fault localization. In the first stage of optimization, TRAIN leverages an improved cluster analysis to identify and exclude the CC tests to optimize the trace matrix. Subsequently, in the second stage, TRAIN utilizes data augmentation to enhance the failing test cases to further balance the trace matrix. The optimized trace matrix is then used as input data in the FL pipeline to locate the faulty statements. Through extensive experiments conducted on 330 faulty versions of nine large-sized programs (obtained from Defects4J, ManyBugs, and SIR) using six state-of-the-art FL methods, TRAIN demonstrates remarkable improvements in FL effectiveness.