Control Process Research Articles

Acute contractile activity induces the activation of the mitochondrial integrated stress response and the transcription factor ATF4.

Skeletal muscle relies on mitochondria to produce energy and support its metabolic flexibility. The function of the mitochondrial pool is regulated by quality control (MQC) processes. The integrated stress response (ISR), a MQC pathway, is activated in response to various cellular stressors. The transcription factor ATF4, the main effector of the ISR, ameliorates cellular stress by upregulating protective genes, such as CHOP and ATF5. Recent literature has shown that the ISR is activated upon mitochondrial stress, however, whether this includes acute exercise-induced stress is poorly defined. To investigate this, a mouse in situ hindlimb protocol was utilized to acutely stimulate muscles at 0.25, 0.5 and 1 tetanic contraction/per second for 9 mins, followed by a 1-hour recovery period. CAMKII and JNK2 were robustly activated 6-fold immediately following the protocol. ISR activation, denoted as the ratio of phosphorylated to total-eIF2a protein levels, was also elevated following recovery. Downstream, contractile activity induced an increase in the nuclear localization of ATF4. Robust 2-fold increases in the mRNA expression of ATF4 and CHOP were also observed following the recovery period. Changes in ATF4 mRNA were independent of transcriptional activation, as assessed using an ATF4 promoter-reporter plasmid. Instead, mRNA decay assays revealed an increase in ATF4 mRNA stability post-contractile activity, as a result of enhanced stabilization by the RNA binding protein, HuR. Thus, acute contractile activity is sufficient to induce mitochondrial stress and activate the ISR, corresponding to the induction of ATF4 with potential consequences for mitochondrial phenotype adaptations in response to repeated exercise.

Characterization of adeno-associated virus capsid proteins using denaturing size-exclusion chromatography coupled with mass spectrometry

Recombinant adeno-associated viruses (AAVs) are a highly effective platform for gene delivery for the treatment of many human diseases. Characterization of AAV viral protein attributes (VP), such as serotype identity, VP stoichiometry, and VP post-translational modifications, is essential to ensure product and process consistency. While size-exclusion chromatography (SEC) coupled with mass spectrometry (MS) is commonly used in the biopharmaceutical industry for analyzing protein therapeutics, its application to intact AAV VP components has not gained traction, presumably due to difficulties in achieving adequate resolution of VP(1−3) monomers. Herein, we describe the development of a denaturing SEC method and optimization of SEC parameters, including stationary phase pore size, column temperature, and mobile phase composition, to achieve effective chromatographic separation of VP(1−3). We demonstrate that an optimized dSEC-MS method featuring MS-compatible formic acid, can effectively separate VP(1−3) across AAV1, 2, 5, 6, 8, and 9 serotypes using a single column and mobile phase condition. A case study was included to showcase successful application of the dSEC-MS method in analyzing changes across different AAV production processes, yielding similar conclusions to an orthogonal approach, such as hydrophilic interaction chromatography (HILIC)- MS. Additionally, dSEC integrated with fluorescence (FLR) and ultraviolet (UV) detection can be used to semi-quantitatively identify both AAV DNA and VP components from empty and full AAV samples. Overall, this robust and MS-friendly methodological advancement could greatly streamline the development and analytical quality control processes for AAV-based gene therapies, providing a highly sensitive method for intact VP characterization.

Software Change Request in Software Development Project : Factors and Methods (Scoping Review Methods)

Software development is dynamic by nature, often requiring changes in software requirements through Software Change Requests (SCRs). This research aims to identify and analyze the key factors that influence SCRs in software development projects and evaluate the methods used to effectively manage these changes. This research uses the Scoping Review Method to systematically review and synthesize existing literature on SCRs, aiming to provide a comprehensive understanding of current practices, challenges, and strategies for managing software change requests. The review includes an extensive search of academic databases to identify relevant studies that address SCR factors and management methods. Key factors that influence SCR include project size, complexity, stakeholder involvement, and clarity of initial requirements. Methods for managing SCR are categorized into formal approaches, such as structured change control processes and tools, and informal approaches, which rely on ad-hoc communication and collaboration. The results underscore the importance of a well-defined change management process to mitigate the risks associated with SCR. Effective SCR management can improve project outcomes by improving software quality, increasing stakeholder satisfaction, and minimizing project delays. This research has practical implications for software development professionals by providing insight into effective SCR management techniques. This research also identifies gaps in the literature, recommending future research on the impact of agile methodologies and the use of automated tools in facilitating change management. Understanding these factors and methods enables practitioners to better navigate the complexities of software change, ensuring successful project delivery and maintaining high software quality.

Technological Interventions to Implement Prevention and Health Promotion in Cardiovascular Patients.

Background/Objectives: The aim of the narrative review is to identify information on the impact of technological interventions (such as telehealth and mobile health) on the health promotion of cardiac patients from diverse populations. Methods: The online databases of PubMed and the Cochrane Library were searched for articles in the English language regarding technological interventions for health promotion in cardiac patients. In addition, a methodological quality control process was conducted. Exclusion was based on first reading the abstract, and then the full manuscript was scanned to confirm that the content was not related to cardiac patients and technological interventions. Results: In all, 11 studies were included in this review after quality control analysis. The sample size reported in these studies ranged from 12 to 1424 subjects. In eight studies mobile phones, smartphones, and apps were used as mHealth interventions with tracking and texting components; two studies used videoconferencing as a digital intervention program, while three studies focused on using physical activity trackers. Conclusions: This review highlights the positive aspects of patient satisfaction with the technological interventions including, but not limited to, accessibility to health care providers, sense of security, and well-being. The digital divide becomes apparent in the articles reviewed, as individuals with limited eHealth literacy and lack of technological knowledge are not motivated or able participate in these interventions. Finding methods to overcome these barriers is important and can be solved to some extent by providing the technology and technical support.

Spanish-English Code-Switching and Cognitive Control

Code-switching is the act of alternating between multiple languages within a conversation, common amongst bilingual speakers. The Control Process Model claims that different types of language contexts like code-switching involve different levels of engagement of cognitive control. In studying this phenomenon, prior research has demonstrated that reading code-switched sentences enhanced cognitive control (conflict resolution) on non-verbal trials compared to one-language contexts. The current study investigates how code-switching affects conflict resolution similar to that of the previous study but using more ecologically valid auditory stimuli (speech). Participants are Spanish-English bilinguals in the US who learned both languages before the age of 12. The experiment alternates one-language spoken sentences and Spanish-English sentences. Sentences are interleaved with Flanker trials, congruent or incongruent. Participants respond to the direction of the middle arrow. The prediction made is that both the presence of a code-switch and the type of code-switch modulates the conflict effect. Results show that the presence of a switch and the type of switch matters in modulating cognitive control in bilingual individuals.

MONITORING ACTIVITY IN THE RISK-ORIENTED INTERNAL AUDIT: A MODEL PROPOSAL

The purpose of this article is to make a proposal for process development for monitoring activities in a way that includes experiences gained from audits conducted in order to achieve the goal of risk-oriented internal audit function in institutions and to contribute a guiding study on the subject to the literature. In this study, first of all, the risk-oriented internal audit approach and monitoring process are explained with the document analysis method, and then a model for the monitoring process is presented and conclusions and recommendations are made. By using the document analysis method and the features of the risk-oriented internal audit approach, an original application process was compiled to test the risk and control processes for the internal audit activities required for an effectively functioning monitoring system. It is suggested that risk- oriented internal audit will be an important tool in increasing the added value for institutions with the monitoring system designed for risk- oriented internal audit activity, which examines the processes and offers suggestions for areas of development in order to ensure that all financial and non-financial resources are used effectively, economically and efficiently and to add value to the work of the organization.

AI-Driven Quality Control in PCB Manufacturing: Enhancing Production Efficiency and Precision

This paper investigates the application of Artificial Intelligence (AI) in enhancing quality control within Printed Circuit Board (PCB) manufacturing processes, focusing on how AI-driven technologies improve production efficiency and precision. The research addresses traditional quality control methods, such as manual inspection and Automated Optical Inspection (AOI), highlighting their limitations in keeping up with the complexities and demand for high-precision PCBs in modern electronics. The study delves into how AI technologies, particularly machine learning, computer vision, and predictive analytics, are being leveraged to overcome these limitations. By automating defect detection, improving accuracy, and enabling real-time analysis, AI systems not only streamline the quality control process but also significantly reduce human error and production costs. AI-driven quality control systems are shown to increase defect detection rates, reduce inspection times, and enhance overall production throughput. The paper includes a comparative analysis between traditional and AI-based quality control methods, revealing a notable improvement in both detection accuracy and production speed when AI systems are employed. Additionally, cost efficiency is explored, demonstrating how AI systems reduce waste, minimize rework, and lower operational costs. The potential challenges of AI implementation, such as the high initial costs, data requirements, and integration with legacy systems, are also discussed. The paper concludes that despite these challenges, AI offers a transformative solution to the growing demands of the PCB manufacturing industry, with the ability to scale effectively and adapt to future technological advancements. Ultimately, this research underscores the significant role of AI in revolutionizing PCB quality control by providing a more efficient, precise, and cost-effective approach, paving the way for further innovation in the electronics manufacturing sector.

Railway security checks at the border: between intrusive security technologies and fundamental traveller rights.

European railway borders are facing a particular exposure to security threats and need a delicate balance between securitization and free movement, especially amid globalisation, the current geopolitical landscape and increased migrant flows. For example, the war in Ukraine illustrated the challenges experienced at the Eastern EU borders by the refugee migration surge in early 2022. This exploratory focuses on the European border security control process from the rail border perspective. It encompasses a descriptive synthesis of the lessons learned from the UIC Refugee Task Force as well as insights from the ongoing EU-funded Horizon Europe project ODYSSEUS (Unobtrusive Technologies for Secure and Seamless Border Crossing for Travel Facilitation). Project ODYSSEUS aims to support the security and integrity of the European space, reduce illegal movements of people and goods across EU borders, facilitate travelling for citizens all while protecting fundamental rights of travellers. The project will test a combination of multi-behavioural and General Data Protection Regulation (GDPR) compliant biometric user identity verification tools, allowing, when possible, citizens to cross EU border without any interruption or queue. Further, novel luggage and baggage checks will allow citizens' vehicles and cargos to be remotely checked at land borders to speed up the border check processes in a secure and reliable manner. The project will run three pilot tests at road, rail and water borders. In this paper, we analyse the implementation of project's technologies in the rail border crossing pilot test and discuss the implications for the actors involved in the process of railway border crossing (e.g., border authorities, railway operators and railway travellers).

Ensuring medication safety on the case of a multidisciplinary hospital

The article discusses the process of management and control in matters of ensuring medication safety at the Republican Clinical Hospital of the Ministry of Health of the Republic of Tatarstan. Registration of adverse drug reactions is a mandatory measure for monitoring the safety of pharmacotherapy.

ZnO Nanorods Aligned in a Vertical Configuration for Targeted Electrochemical Detection of Aniline.

This study demonstrates the synthesis of 1D surface vertically aligned nanorods of ZnO on the fluorine-doped tin oxide-coated glass substrate (ZnO-VANRs/FTOs) synthesized via a chemical route for the targeted electrochemical sensing of aniline. The ZnO-VANRs/FTOs were 1.57 ± 0.03 μm in length with excellent crystallinity and high density (1.52 × 1013 rod no./m2). ZnO-VANRs formation increased surface roughness by 2.4- and 4.7-fold compared to the bare FTOs and seeded FTOs (ZnO-seed/FTOs), respectively. The ZnO-VANRs/FTOs electrodes could increase the effective surface area from 0.154 to 0.384 cm2 with about 86.85% reduction in charge transfer resistance compared to the bare FTOs. The peak current response (at 0.281 V vs Ag/AgCl) of aniline deposition was boosted by 81.52% with the rise in temperature from 15 to 45 °C. The reduction of aniline at ZnO-VANRs/FTOs involved a reversible two-electron diffusion control process with a heterogeneous reaction rate constant (k0) of 1.82 s-1 and a formal potential (E0) of 0.289 V vs Ag/AgCl. The ZnO-VANRs/FTOs electrode showed limits of detection of 0.193 μM (sensitivity 0.198 μA·μM-1·cm-2) and 0.588 μM (sensitivity of 0.065 μA·μM-1·cm-2) between the working ranges of 0-20 and 20-160 μM, respectively. The fabricated sensor was unprecedently selective toward aniline sensing, and p-nitroaniline, chlorobenzene, chlorpyrifos, Cu2+, Pb2+, Ni2+, Cd2+, albumin bovine, Escherichia coli, and ciprofloxacin could not interfere with aniline sensing and its sensitivity. However, the peak current was marginally decayed by 2.63% up to the 6th cycle. Moreover, ZnO-VANRs/FTOs catalyzed the sensing of aniline spiked in the environmental matrices, conforming well to liquid chromatography.

Extending the Natural Neighbour Radial Point Interpolation Meshless Method to the Multiscale Analysis of Sandwich Beams with Polyurethane Foam Core

This work investigates the mechanical behaviour of sandwich beams with cellular cores using a multiscale approach combined with a meshless method, the Natural Neighbour Radial Point Interpolation Method (NNRPIM). The analysis is divided into two steps, aiming to analyse the efficiency of NNRPIM formulation when combined with homogenisation techniques for a multiscale computational framework of large-scale sandwich beam problems. In the first step, the cellular core material undergoes a controlled modification process in which circular holes are introduced into bulk polyurethane foam (PUF) to create materials with varying volume fractions. Subsequently, a homogenisation technique is combined with NNRPIM to determine the homogenised mechanical properties of these PUF materials with different porosities. In this step, NNRPIM solutions are compared with high-order FEM simulations. While the results demonstrate that RPIM can approximate high-order FEM solutions, it is observed that the computational cost increases significantly when aiming for comparable smoothness in the approximations. The second step applies the homogenised mechanical properties obtained in the first step to analyse large-scale sandwich beam problems with both homogeneous and functionally graded cores. The results reveal the capability of NNRPIM to closely replicate the solutions obtained from FEM analyses. Furthermore, an analysis of stress distributions along the beam thickness highlights a tendency for some NNRPIM formulations to yield slightly lower stress values near the domain boundaries. However, convergence towards agreement among different formulations is observed with mesh refinement. The findings of this study show that NNRPIM can be used as an alternative numerical method to FEM for analysing sandwich structures.

Development and characterization of novel fast-dissolving pentobarbital suppositories for pediatric procedural sedation and comparison with lipophilic formulations

For pediatric radiological procedures (RP), pentobarbital sodium (PNa) can be used orally or rectally to replace intravenous anesthesia. Since no commercial PNa suppositories exist, they must be prepared by compounding pharmacies. This study aims to develop fast-dissolving PNa suppositories for fast pharmacological activity during RP. We prepared gelatin (G), gelatin/polyethylene glycol 4000 (GP), and polyethylene glycol 4000 (P) suppositories, with and without pH adjustment, and assessed their dosage uniformity (DU), softening time, rupture resistance, and in-vitro dissolution. An optimal formulation was selected, and PNa release was compared to that of fat-based suppositories using dissolution tests. Additionally, the quality control process (analytical performance, safety/eco-friendliness and productivity/practical effectiveness) of these formulas were compared using a RGB method. All hydrophilic formulas (HF) met the DU requirement (AV < 8 %) except for P (AV 15.62 ± 4 %). pH adjustment enhanced G and GP suppositories resistance to 2.2 ± 0.2 kg and 2.0 ± 0.3 kg, respectively, and allowed 100 % release of PNa in under 10 min. In contrast, lipophilic formulas released less than 80 % of PNa at best after 120 min. These results show the biopharmaceutical suitability of HF for RP compared to lipophilic ones, but a pharmacokinetic study is needed to confirm data.

Modeling and Simulation of Fractional PID Controller for Under-actuated Inverted Pendulum Mechanical System

The stabilization of the non-linear inverted pendulum system requires a robust control strategy, as this system is inherently unstable and sensitive to disturbances. This research utilizes Lagrangian mechanics, a powerful technique in analytical dynamics, to derive the mathematical representation of the system. By applying the principles of Lagrangian dynamics, we can accurately model the energies involved and derive the equations of motion that govern the pendulum’s behavior. Following this, state-space feedback is employed to determine the Proportional, Integral, and Derivative (PID) values essential for effective control. This control strategy is particularly useful due to its ability to minimize error over time and ensure stability. To further enhance the control process, a comprehensive mathematical model is developed to establish the transfer function that correlates the pendulum&amp;apos;s angle with the displacement of the cart. This relationship is crucial for understanding how changes in the cart&amp;apos;s position affect the pendulum&amp;apos;s stability. To validate the proposed control law, extensive simulations are conducted, allowing for comparative analysis against an Integer Order Controller. These simulations not only highlight the effectiveness of the PID controller but also provide insights into the dynamic behavior of the system under various conditions. The results demonstrate significant improvements in settling time and overshoot, showcasing enhanced performance metrics for the selected objective functions. This research contributes to the broader field of control systems engineering, suggesting that advanced control strategies can effectively manage complex, non-linear systems.

Contesting the Prescriptibility of Emotion through Affective Encounters in Lucy Prebble’s The Effect (2012)

This paper explores how Lucy Prebble’s The Effect (2012) dramatises the subversive potentialities of affective encounters as an antidote to the isolating, profit-minded forms of posthumanisation prescribed by modern psychiatry. It argues that the play poignantly unveils how the convergence of the psychopharmaceutical industry with advanced capitalism and neoliberal ideology shape popular discourse around mental illnesses and the necessity of medically induced (self-)regulation of emotion. It also investigates how Prebble mingles crisis with hope in the piece by portraying the autonomy and unpredictability of affective bodily responses, which evade being translated into bio-data and destabilise biopsychiatry’s totalizing view of emotions as utterly controllable through the brain. My analysis utilises Rosi Braidotti’s theorisation of the posthuman subject as both susceptible to exploitation and control and as the site of resistance and ongoing transformation, as presented in her work The Posthuman (2013). It also employs Stefan Herbechter’s theories, as expressed in his book Posthumanism: A Critical Analysis (2013), on how biotechnological developments, advanced capitalism and ideology converge, facilitating new forms of self-governmentality. Finally, it refers to Brian Massumi’s conceptualisation of affect, prevalent in his work “The Autonomy of Affect” (1995) as an intense autonomic bodily response which resists processes of control and manipulation. Ultimately, I argue that The Effect highlights the transformative potential of affective encounters and interconnectedness, functioning as resistance to modern psychiatry’s isolating prescription of emotional self-governance through self-medication.

The Global Dam Watch database of river barrier and reservoir information for large-scale applications.

There are millions of river barriers worldwide, ranging from wooden locks to concrete dams, many of which form associated impoundments to store water in small ponds or large reservoirs. Besides their benefits, there is growing recognition of important environmental and social trade-offs related to these artificial structures. However, global datasets describing their characteristics and geographical distribution are often biased towards particular regions or specific applications, such as hydropower dams affecting fish migration, and are thus not globally consistent. Here, we present a new river barrier and reservoir database developed by the Global Dam Watch (GDW) consortium that integrates, harmonizes, and augments existing global datasets to support large-scale analyses. Data curation involved extensive quality control processes to create a single, globally consistent data repository of instream barriers and reservoirs that are co-registered to a digital river network. Version 1.0 of the GDW database contains 41,145 barrier locations and 35,295 associated reservoir polygons representing a cumulative storage capacity of 7,420 km3 and an artificial terrestrial surface water area of 304,600 km2.

ОСОБЛИВОСТІ АУДИТУ ДОХОДІВ, ВИТРАТ І ФІНАНСОВИХ РЕЗУЛЬТАТІВ ВІТЧИЗНЯНОГО СІЛЬСЬКОГОСПОДАРСЬКОГО ПІДПРИЄМСТВА В УМОВАХ ВОЄННОГО СТАНУ

The article is devoted to the study of the audit of income, expenses, and financial results of agricultural enterprises in Ukraine during the martial law. The main problems of the domestic agricultural industry, caused by the specifics of the industry, are identified: deterioration of economic conditions, economic difficulties, competition problems, infrastructural limitations, personnel problems, difficulty in obtaining permits and certification, limited access to modern technologies. It is substantiated that the problems of the organization of accounting and management of agricultural enterprises are represented by insufficient automation of accounting and control processes, insufficient investment attractiveness of these enterprises in reporting, the complexity of accounting for supply processes, production and formation of costs, the complexity of obtaining loans, the complexity of tax accounting. The identified problems of the functioning of domestic enterprises in the conditions of martial law: the threat of security for workers and resources, the complication and increase in the price of the supply and implementation process, the loss of qualified labor, economic difficulties, the instability of legislation, the cancellation of benefits. It was established that the state of war in Ukraine causes additional problems for auditing: changes in the conditions of audit activity and audit risks, the complication of forecasting and assessment of financial results, the need to assess the impact on financial reporting of changes in accounting policies and management strategies, the need for additional audit procedures to determine and settlement of new risks. The work analyzes the peculiarities of the audit process of financial reporting of an agricultural enterprise, its income, expenses, and results of activity. The study showed that the main factor influencing the quality of the audit is the use of effective audit procedures. The work presents directions for optimizing the audit due to its digitalization, identifies problems that may arise, and suggests ways to solve them.

A Lyapunov Theory-Based SEIG–STATCOM Voltage Regulation Control Strategy

To improve the voltage regulation of asynchronous generators during load switching, a Lyapunov-based control strategy has been proposed to stabilize the generator’s voltage by connecting a static synchronous compensator. By constructing a Lyapunov function from the mathematical model, the error tracking problem is transformed into a global asymptotic stability problem of the Lyapunov function at the equilibrium point. The outer loop linearizes the direct current (DC) voltage control process, while the inner loop replaces integral terms with differential terms. The proposed Lyapunov method achieves linearized voltage control with a quadratic outer loop structure and the inner loop differential structure exhibits a shorter transient process, outperforming traditional methods. Simulation and experimental tests were then used, where the latter was a down-scale laboratory prototype experiment. Compared to traditional (voltage-oriented control) VOC, the outer loop (Lyapunov-function-based control) LBC reduces the DC voltage transient processes by approximately 9.4 milliseconds, while the inner loop LBC reduces both alternating current (AC) and DC voltage transient processes by approximately 2.6 ms and 8.7 ms, respectively.

О субоптимальном решении задачи быстродействия для линейной дискретной системы в случае несимметричных ограничений на управления

&lt;p&gt;The paper considers a linear discrete system with bounded control. The speed-in-action problem is solved for the system, that is, it is required to construct a control process that transfers the system from the initial state to the origin in a minimum number of steps. If the set of acceptable control values has a superellipse structure, then the problem of calculating optimal control can be reduced to solving a system of algebraic equations. A superellipsoidal approximation method has been developed for sets of arbitrary structure, and the case of asymmetric sets has been considered. Examples are given.&lt;/p&gt;

Hyperspectral Imaging Combined with Machine Learning Can Be Used for Rapid and Non-Destructive Monitoring of Residual Nitrite in Emulsified Pork Sausages

The non-destructive and rapid monitoring system for residual nitrite content in processed meat products is critical for ensuring food safety and regulatory compliance. This study was performed to investigate the application of hyperspectral imaging in combination with machine learning algorithms to predict and monitor residual nitrite concentrations in emulsified pork sausages. The emulsified pork sausage was formulated with 1.5% (w/w) sodium chloride, 0.3% (w/w) sodium tripolyphosphate, 0.5% (w/w) ascorbic acid, and sodium nitrite at concentrations of 0, 30, 60, 90, 120, and 150 mg/kg, based on total sample weight. Hyperspectral imaging measurements were conducted by capturing images of the cross-sections and lateral sides of sausage samples in a linescan mode, covering the spectral range of 1000–2500 nm. The analysis revealed that higher nitrite concentrations could influence the protein matrix and hydrogen-bonding capacities, which might cause increased reflectance at approximately 1080 nm and 1280 nm. Machine learning models, including XGBoost, CATboost, and LightGBM, were employed to analyze the hyperspectral data. XGBoost demonstrated the best performance, achieving an R2 of 0.999 and a root mean squared error of 0.095, highlighting its high predictive accuracy. This integration of hyperspectral imaging with advanced machine learning algorithms offers a non-destructive and real-time method for monitoring residual nitrite content in processed meat products, noticeably improving quality control processes in the meat industry. Additionally, real-time implementation in industrial settings could further streamline quality control and enhance operational efficiency. Further research should focus on validating these findings with larger sample sizes and more diverse datasets to ensure robustness.

Nightmares in the elderly: Associations with self-reported executive functions

Study objectivesTo describe nightmare phenomenology among community dwelling elderly and to test the hypothesis that reduction in cognitive control is associated with nightmare-related phenomenology including nightmare frequency and severity, greater emotional reactivity, imagery immersion, and dream enactment behaviors (DEBs). MethodsStudy 1: Survey with multiple regression and ANOVAs on N = 56 people with frequent nightmares plus N = 62 age- and gender-matched controls to quantify the strength of the association between cognitive control variables and nightmare phenomenology. Study 2: Computational simulation of nightmare phenomenology in relation to cognitive control to simulate the empirical findings and to assess the underlying causal theory through computationally supported causal inference. ResultsStudy 1: Regressions demonstrated a strong association between reduction in cognitive control and more extreme nightmare phenomenology, including severity, frequency, daytime effects, and DEBs. Study 2: The computational simulation of nightmare phenomenology in relation to cognitive control is validated relative to regressions from study 1 and offers computational support for the causal theory explaining the associations in study 1. ConclusionsIn aging people, decline in executive cognitive functions, cognitive control, and inhibitory processes reduce cognitive control over emotions, thus contributing to unusual nightmare activity, including more extreme nightmare phenomenology such as more severe nightmares, greater emotional reactivity, deeper imagery immersion, and DEBs.