Process Execution Research Articles

Timed Genetic Process Mining for Robust Tracking of Processes under Incomplete Event Log Conditions

In process mining, an event log is a structured collection of recorded events that describes the execution of processes within an organization. The completeness of event logs is crucial for ensuring accurate and reliable process models. Incomplete event logs, which can result from system errors, manual data entry mistakes, or irregular operational patterns, undermine the integrity of these models. Addressing this issue is essential for constructing accurate models. This research aims to enhance process model performance and robustness by transforming incomplete event logs into complete ones using a process discovery algorithm. Genetic process mining, a type of process discovery algorithm, is chosen for its ability to evaluate multiple candidate solutions concurrently, effectively recovering missing events and improving log completeness. However, the original form of the genetic process mining algorithm is not optimized for handling incomplete logs, which can result in incorrect models being discovered. To address this limitation, this research proposes a modified approach that incorporates timing information to better manage incomplete logs. By leveraging timing data, the algorithm can infer missing events, leading to process tracking and reconstruction which is more accurate. Experimental results validate the effectiveness of the modified algorithm, showing higher fitness and precision scores, improved process model comparisons, and a good level of coverage without errors. Additionally, several advanced metrics for conformance checking are presented to further validate the process models and event logs discovered by both algorithms.

A multi-objective model for integrated supplier order allocation and supply chain network transportation planning decision-making

Effective supplier order allocation (SOA) and transportation planning (TP) are critical for the smooth operation of supply chains, especially in dynamic markets with evolving customer demands. While previous research has made significant strides in addressing these areas individually, studies that integrate both aspects while considering a comprehensive set of objectives are limited. This study introduces an innovative multi-objective model that concurrently addresses total operational costs, supplier defect rates, sustainability performance, and supply chain network disruption risks. The model applies an augmented max–min approach of fuzzy multiple objective linear programming (AMM-FMOLP), which enhances overall utility while ensuring balanced performance across all objectives. The inclusion of all five objectives in the model is essential for a holistic evaluation of supply chain performance. The model’s effectiveness and practicality are validated through a case study involving a computer numerical control (CNC) machine tool assembly company, under various scenarios. Additionally, sensitivity analysis reveals how adjustments in supply chain structure can further improve performance. Moreover, the execution process of this study does not require expert intervention, making it a unique data-driven decision model particularly suitable for intelligent supply chain management and decision-support systems. This approach enhances the flexibility and resilience of supply chains, enabling them to effectively respond to unforeseen events and minimize their impact on business operations, especially in volatile global markets.

From task-general towards task-specific cognitive operations in a few minutes? Working memory performance as an adaptive process.

Measurement of cognitive functions is typically based on the implicit assumption that the mental architecture underlying cognitive task performance is constant throughout the task. In contrast, skill learning theory implies that cognitively demanding task performance is an adaptive process that progresses from initial heavy engagement of effortful and task-general metacognitive and executive control processes towards more automatic and task-specific performance. However, this hypothesis is rarely applied to the short time spans of traditional cognitive tasks such as working memory (WM) tasks. We utilised longitudinal structural equation models on two well-powered data sets to test the hypothesis that the initial stages of WM task performances load heavily on a task-general g-factor and then start to diverge towards factors specific to task structure. In line with the hypothesis, data from the first experiment (N = 296) were successfully fitted in a model with task-initial unity of the WM paradigm-specific latent factors, after which their intercorrelations started to diverge. The second experiment (N = 201) replicated this pattern except for one paradigm-specific latent factor. These preliminary results suggest that the processes underlying WM task performance tend to progress rapidly from more task-general towards task-specific, in line with the cognitive skill learning framework. Such task-internal dynamics has important implications for the measurement of complex cognitive functions.

A Digital Twin System for Adaptive Aligning of Large Cylindrical Components

Most large aerospace cylindrical components still adopt a manual aligning method with low automation, large manual intervention, and heavy dependence on operator workers, resulting in the low quality and efficiency of large component aligning, which seriously prolongs the manufacturing time of aerospace products. To cope with this issue, based on closed-loop adaptive control and digital twin (DT) technologies, an adaptive aligning system for large cylindrical components, i.e., the DT aligning system, is proposed in this study. For the DT aligning system, through the DT multi-dimensional modeling, i.e., geometric modeling, physical modeling, functional modeling, and data modeling, it can be divided into a physical space, a virtue space, and twin data. Note that the association, mapping, and interaction between physical space and virtual space of the aligning system can be realized via the twin data, thereby realizing real-time virtual display, monitoring, and control of the large component aligning. In addition, based on the measured pose data, aligning stress, and predicted aligning error, an adaptive force/position control method for large component aligning is proposed, and it can achieve real-time decision-making and precise execution of the aligning process. Finally, through application validation, the DT process system can realize the real-time status perception and process execution decision during the large component aligning. Finally, through experimental validation, it is found that the proposed system, i.e., the DT aligning system, can improve the quality and efficiency of the large aerospace cylindrical component aligning, as well as the automation and intelligent level of the aligning system.

A - 105 Impact of COVID-19 on Executive Functioning and Processing Speed in Older Adults with Mild Cognitive Impairment

Abstract Objective COVID-19 can cause dopaminergic neuron senescence. Importantly, dopamine is instrumental in executive functioning (EF) and processing speed (PS). The current study investigated the impact of COVID-19 on EF and PS in older adults with mild cognitive impairment (MCI). It was hypothesized that older adults would have significantly worsened EF and PS post-COVID-19 infection. Methods Participants were drawn from a larger study of late-life brain health. The current sample included nine older males with MCI, ages 57–90 years (M = 77.78 ± 9.89). Participants were predominantly White (78%) and well-educated (55.5% had a bachelor’s degree or higher). The Stroop Color Word Test (SCWT) measured EF and PS at baseline (T1) and six months later (T2). All participants contracted COVID-19 between T1 and T2. Changes in cognition were assessed using paired sample t-tests. Results Post-COVID-19 infection, participants experienced a statistically significant decline on the SCWT color word trial (t = 3.15, p = 0.02). Participants evidenced nonsignificant change on the SCWT word trial (t = 1.70, p = 0.13) and the SCWT color trial (t = 1.94, p = 0.100). Conclusions In a sample of older adults with MCI, contracting COVID-19 potentially contributed to a significant decline in EF but not PS. Research has consistently highlighted the negative impact of Long COVID on EF. Current findings suggest that the COVID-19 infection negatively impacts EF, even in those without Long-COVID. Findings highlight the importance of monitoring cognitive function post-COVID infection in older adults with pre-existing cognitive impairment.

A - 96 Cognitive Profiles of Patients with Essential Tremor and Parkinson’s Disease: a Comparative Study

Abstract Objective Essential tremor (ET) is traditionally thought of as a pure motor condition1 defined by isolated action tremor. However, research suggests cognitive decline is more prevalent in ET than originally proposed2. Movement Disorder Society guidelines recommend patients with ET and cognitive decline be classified “ET-Plus3”. ET-related cognitive decline may occur through breakdown of prefrontal integrity via frontocerebellar networks. This is similar to frontosubcortical dysfunction in PD, which may result in similar cognitive changes. The present study compared cognitive profiles of patients with ET to PD and healthy controls (HC). Method Data was obtained through Baylor College of Medicine’s Neuropsychology Repository. 51 ET patients were compared to 190 PD patients and 189 age-matched HC. Group differences were assessed with one-way ANOVAs and post-hoc t-tests. Results ET performed worse than HC on multiple cognitive measures including executive functioning, processing speed, and memory. Largest effects were observed on Trailmaking B (p < 0.001, d = 0.93) and Stroop Word Reading (p < 0.001, d = 1.15). ET performed similarly to PD across most measures, although PD performed worse on Logical Memory I & II (p < 0.001, d = 0.57), and Clock Drawing (p = 0.001, d = 0.49). Rates of mild cognitive impairment were similar in ET (45%) and PD (44%). Conclusion(s) Findings suggest cognitive deficits in ET occur in a similar pattern and at a similar rate as in PD. The findings are consistent with research exploring the phenotypic heterogeneity of ET and provide evidence against the prevailing belief that ET is monosymptomatic.

Do changes in cerebral blood flow modulate the amplitudes of P300 during cognitive task?

A single session of aerobic or resistance training transiently enhances cognitive function, making it a valuable strategy for dementia prevention in the older people. Despite its acknowledged benefits, the precise mechanism behind exercise-induced cognitive improvement remains controversial. In the present study, we investigated the impact of altered cerebral blood flow (CBF) on brain neural activity originating from motor executive and inhibitory processing using electroencephalographic event-related potentials (EEG-ERPs). Sixteen healthy subjects participated in four sessions, with EEG-ERPs measured during somatosensory Go/No-go tasks. The sessions were conducted under four distinct respiratory conditions presented in random order: normal breathing (NB) and rapid breathing (RB) with room air, normal breathing with hypercapnic gas (5% CO2, 21% O2, and balanced N2) (NB+Gas), and rapid breathing with the same gas (RB+Gas). Changes in CBF were evaluated based on the middle cerebral artery mean blood velocity (MCA Vmean) using transcranial Doppler. PETCO2 was decreased under the RB condition but increased under the NB+Gas condition, thereby decreasing and increasing MCA Vmean, respectively. Under the NB+Gas condition, MCA Vmean significantly increased, but it had no effect on either the executive or inhibitory function. In contrast, the reduction in MCA Vmean induced by RB decreased the peak amplitudes of Go-P300 and No-go-P300. However, even under the RB+Gas condition while MCA Vmean increased, the peak amplitudes of both also decreased. These findings suggest that neither increases nor decreases in CBF affected cognitive function.

Early High-Dose Erythropoietin and Cognitive Functions of School-Aged Children Born Very Preterm

Children born very preterm are at risk for long-term neurodevelopmental sequelae. Prophylactic high-dose recombinant human erythropoietin (rhEpo) shortly after birth has not been shown to improve cognitive, motor, and behavioral development at 2 and 5 years. To investigate whether early high-dose rhEpo is associated with better executive functions and processing speed-late-maturing cognitive functions-in school-aged children born very preterm. This single-center cohort study was a prospective, observational follow-up study of a multicenter neonatal clinical trial; 365 children born very preterm (mean gestational age, 29.3 weeks [range, 26.0-31.9 weeks]) who had been enrolled in the Swiss EPO Neuroprotection Trial at birth between 2005 and 2012, and who were included in the primary outcome analyses at 2 years, were eligible to be recruited for the EpoKids study between 2017 and 2021 when they were at school age. Term-born children were additionally recruited and included in a control group. Data were analyzed between May and September 2022. Administration of rhEpo (3000 IU/kg) or placebo (saline, 0.9%) intravenously 3 times within the first 2 days of life as part of the Swiss EPO Neuroprotection Trial. A comprehensive neuropsychological test battery assessed executive functions and processing speed, and parents reported on their child's executive functions in everyday life to test the hypothesis that early high-dose rhEpo administration is associated with better cognitive outcomes at school age. In the EpoKids study, 214 children born very preterm (58.6% of 365 children in eligible cohort) were assessed at a mean age of 10.4 years (range, 6.9-13.4 years); 117 (54.7%) were boys. There was no evidence that the 117 children who had received rhEpo differed from the 97 children who had received placebo in any of the 15 executive function and processing speed tests, nor in parent-rated executive functions (estimates ranged from -0.138 to 0.084, all 95% CIs included 0). Irrespective of rhEpo or placebo allocation, children born very preterm scored lower on 11 of 15 executive function and processing speed tests than term-born peers (estimates ranged from 0.112 to 0.255, 95% CIs did not include 0). This study found no evidence for a positive association between prophylactic early high-dose rhEpo administration and long-term neurodevelopmental outcomes after very preterm birth. These results suggest that a comprehensive approach, including pharmacological and nonpharmacological prevention and intervention strategies, is needed to support these children's neurodevelopmental outcome.

Functional Connectivity Profiles of Ten Sub-Regions within the Premotor and Supplementary Motor Areas: Insights into Neurophysiological Integration.

Objectives: This study aimed to comprehensively investigate the functional connectivity of ten sub-regions within the premotor and supplementary motor areas (Right and Left Premotor 6d1, 6d2, 6d3, and Right and Left pre-Supplementary Motor (presma) and SMA). Using advanced magnetic resonance imaging (MRI), the objective was to understand the neurophysiological integrative characteristics of these regions by examining their connectivity with eight distinct functional brain networks. While previous studies have largely treated these areas as homogeneous entities, there is a significant gap in our understanding of the specific roles and connectivity profiles of their distinct sub-regions. The goal was to uncover the roles of these regions beyond conventional motor functions, contributing to a more holistic understanding of brain functioning. Methods: The study involved 198 healthy volunteers, with the primary methodology being functional connectivity analysis using advanced MRI techniques. Ten sub-regions within the premotor and supplementary motor areas served as seed regions, and their connectivity with eight distinct brain regional functional networks, including the Sensorimotor, Dorsal Attention, Language, Frontoparietal, Default Mode, Cerebellar, Visual, and Salience networks, was investigated. This approach allowed for the exploration of synchronized activity between these critical brain areas, shedding light on their integrated functioning and relationships with other brain networks. Results: The study revealed a nuanced landscape of functional connectivity for the premotor and supplementary motor areas with the main functional brain networks. Despite their high functional connectedness within the motor network, these regions displayed diverse functional integrations with other networks. There was moderate connectivity with the Sensorimotor and Dorsal Attention networks, highlighting their roles in motor execution and attentional processes. However, connectivity with the Language, Frontoparietal, Default Mode, Cerebellar, Visual, and Salience networks was generally low, indicating a primary focus on motor-related tasks. Conclusions: This study emphasized the multifaceted roles of the sub-regions of the premotor and supplementary motor areas. Beyond their crucial involvement in motor functions, these regions exhibited varied functional integrations with different brain networks. The observed disparities, especially in the Sensorimotor and Dorsal Attention networks, indicated a nuanced and specialized involvement of these regions in diverse cognitive functions. By delineating the specific connectivity profiles of these sub-regions, this study addresses the existing knowledge gap and suggests unique and distinct roles for each brain area in sophisticated cognitive tasks beyond their conventional motor functions. The results suggested unique and distinct roles for each brain area in sophisticated cognitive tasks beyond their conventional motor functions. This study underscores the importance of considering the broader neurophysiological landscape to comprehend the intricate roles of these brain areas, contributing to ongoing efforts in unravelling the complexities of brain function.

EASY: Energy-Efficient Analysis and Control Processes in the Dynamic Edge-Cloud Continuum for Industrial Manufacturing

AbstractAccording to the guiding principles of Industry 4.0, edge computing enables the data-sovereign and near-real-time processing of data directly at the point of origin. Using these edge devices in manufacturing organization will drive the use of industrial analysis, control, and Artificial Intelligence (AI) applications close to production. The goal of the EASY project is to make the added value of edge computing available by providing an easily usable Edge-Cloud Continuum with a runtime environment and services for the execution of AI-based Analysis and Control processes. Within this continuum, a dynamic, distributed, and optimized execution of services is automated across the entire spectrum from centralized cloud to decentralized edge instances to increase productivity and resource efficiency.

Architecture and anatomy of executive processes: evidence from verbal fluency and Trail Making Test in 2009 stroke patients.

The few voxel-wise lesion-symptom mapping (VLSM) studies aimed at identifying the anatomy of executive function are limited by the absence of a model and by small populations. Using Trail Making Test (TMT) and verbal fluency and a model of their architectures, our objective was to identify the key structures underlying two major executive processes, set-shifting and strategic word search. We applied a validated VLSM analysis to harmonized cognitive and imaging data from 2009 ischemic stroke patients as a part of the Meta VCI Map consortium. All contrast analyses used an adjusted threshold with 2000 Freedman-Lane permutations (p ≤ 0.05). The TMT parts A and B were associated with structures involved in visual-spatial processing, the motor system, the frontal lobes, and their subcortical connections. Set-shifting depended on the left dorsomedial frontal region. Both semantic and phonemic fluency tests depended on verbal output abilities and processing speed with similar slopes in different languages. The strategic search process depended on Broca's area, F2 and related tracts, temporal and deep regions. Lastly, the lesion map of set-shifting did not overlap with those of strategic word search processes. Our results identify the anatomical substrates of two main executive processes, revealing that they represent only a specific subpart of previously reported structures. Finally, our results indicate that executive functions depend on several specific, anatomically separable executive processes mainly operating in various parts of the frontal lobes.

How IGA Istanbul Airport leverages IoT and automation for improved efficiency, safety and passenger experience

iGA Istanbul Airport is the first and only airport established with a wireless Internet of Things (IoT). IoT systems offer an effective solution for receiving data from many points with advantages such as fast implementation, low installation costs and long lifetime. In addition to standard products, special wireless IoT sensors designed for specific needs are also used in iGA Istanbul Airport. This infrastructure provides data for the execution, improvement and development of airport processes. The big data and analysis application created with the data collected from IoT devices and system integrations manages efficiency and predictive maintenance activities. With the effective use of IoT systems, iGA Istanbul Airport has achieved significant gains in increasing customer satisfaction, managing predictive maintenance from a more proactive perspective, reducing environmental impacts and increasing operational efficiency. This paper discusses the use of the IoT infrastructure at iGA Istanbul Airport and the benefits it provides.

How Iran’s Hospital Accreditation Program Meets the International Society for Quality in Health Care (ISQua)

Background: Hospital health service quality is a fundamental component of the health system. Hospital accreditation is a key approach to enhancing this quality, necessitating the correct implementation of processes. Objectives: This study aims to investigate the compliance of the executive processes of Iran’s hospital accreditation program with the requirements of the International Society for Quality in Health Care and to provide corrective solutions. Methods: This qualitative study uses an inductive content analysis technique. A checklist with seven axes was established by extracting and interpreting the requirements of the executive processes from the International Society for Quality in Health Care. By examining existing documents at the Ministry of Health’s Accreditation Office and conducting interviews with managers and experts in the field, challenges in the domain of the executive processes of Iran’s hospital accreditation program were identified using the relevant checklist. Corrective solutions were then gathered through semi-structured interviews with 19 experts, managers, and accreditation field specialists, categorized inductively, and presented using MAXQDA software. Results: Challenges in seven areas were identified, including governance; strategic, operational and financial management; risk management; human resources management; information management; survey and client management; and the granting of accreditation approval. Subsequently, solutions were categorized into five groups encompassing 26 concepts, focusing on reforming macro policies, addressing implementation challenges, fostering appropriate interactions, improving human resource management, and promoting evidence-based decision-making. Conclusions: The Iran hospital accreditation program’s adherence to International Society for Quality in Health Care standards is inadequate. Establishing a semi-autonomous, non-profit accreditation body that operates under government control and ensuring the independence of the accreditation office is essential for achieving higher compliance and receiving certification from International Society for Quality in Health Care.

Neuropsychological performance in women at risk of postpartum depression and postpartum psychosis.

While neuropsychological deficits are commonly observed in affective and psychotic disorders, this remains unexplored in these disorders when they occur during pregnancy and the postpartum period. A neuropsychological test battery was administered to women defined at risk of postpartum depression (PD, N = 53) because having either a current or past diagnosis of major depressive disorder, women at risk of postpartum psychosis (PP, N = 43) because of a diagnosis of bipolar disorder or schizoaffective disorder and/or a previous episode of PP and women not at risk (NR, N = 48) in the third trimester of pregnancy. Generalized and specific cognitive abilities were compared between groups. Women at risk of PP presented worse executive functions and processing speed compared to NR and worse performance compared to women at risk of PD across all cognitive domains. In addition, women at risk of PP who developed a psychiatric relapse in the first four weeks post-partum showed worse verbal learning and memory, visual memory, executive functions and processing speed in pregnancy compared to NR, whereas women at risk of PP who remained well presented neuropsychological performance that was intermediate between that of the women NR and those at risk of PP who developed symptoms. There were no differences in performance between women at risk of PD and the NR women, even if 31 women at risk of PD presented depressive symptoms at the time of cognitive assessment. Our findings in women at risk of PP align with neuropsychological findings in individuals with, or at risk of psychosis unrelated to pregnancy. In addition, initial evidence that women at risk of PP who develop a psychiatric relapse in the postpartum show a particularly poor neuropsychological performance in pregnancy suggests that this could be considered part of a phenotype for the disease and help guiding future preventive strategies in this clinical population. In women at risk of PD, the presence of depressive symptoms did not influence cognitive performance.

Higher striatal dopamine is related with lower physical performance fatigability in community-dwelling older adults.

Fatigability in community-dwelling older adults is highly prevalent and disabling, but lacks a treatment. Greater nigrostriatal dopaminergic signaling can ameliorate performance fatigability in healthy young adults, but its role in community-dwelling older adults is not known. We hypothesized that higher nigrostriatal dopaminergic integrity would be associated with lower performance fatigability, independent of cardiopulmonary and musculoskeletal energetics and other health conditions. In 125 older adults participating in the Study of Muscle, Mobility and Aging, performance fatigability was measured as performance deterioration during a fast 400 meter walk (% slowing down from the 2nd to the 9th lap). Nigrostriatal DA integrity was measured using (+)-[11C] dihydrotetrabenazine (DTBZ) PET imaging. The binding signal was obtained separately for the subregions regulating sensorimotor (posterior putamen), reward (ventral striatum) and executive control processes (dorsal striatum). Multivariable linear regression models of performance fatigability (dependent variable) estimated the coefficients of dopamine integrity in striatal subregions, adjusted for demographics, comorbidities, and cognition. Models were further adjusted for skeletal muscle energetics (via biopsy) and cardiopulmonary fitness (via cardiopulmonary exercise testing). Higher [11C]-DTBZ binding in the posterior putamen was significantly associated with lower performance fatigability (demographic-adjusted standardized Beta = -1.08, 95% CI: -1.96, -0.20); results remained independent of adjustment for other covariates, including cardiopulmonary and musculoskeletal energetics. Associations with other striatal subregions were not significant. Dopaminergic integrity in the sensorimotor striatum may influence performance fatigability in older adults without clinically overt diseases, independent of other aging systems.

Experimental investigation of a new defrosting technique for sustainable refrigeration system

Defrosting can have a detrimental impact on the functioning of regularly used refrigeration systems. The primary objective of this study is to enhance the cooling efficiency by resolving the defrost process, which impacts the cooling performance due to the heat received from the system. A new solar PVT-assisted system, which includes a cold chamber, was created and tested for this specific purpose. Furthermore, a sophisticated automation scenario has been devised to function in five distinct modes, ensuring the successful execution of the defrost process. Two experiments, Experiment 1 and Experiment 2, were conducted. The average coefficient of performance (COP) and exergy values obtained were 2.29 and 2.25, and 25.74 % and 24.45 %, respectively. The maximum temperature change measured in the cold room during defrosting was 2 °C. In Experiment 1, the PVT collector produced a total energy of 2.85 kWh; Experiment 2 generated 2.79 kWh. Consequently, the defrosting procedure was effectively executed by directing hot air into the chilly chamber using the proposed sustainable method. This system is highly recommended because of its innovative defrosting mechanism, which guarantees optimal solar energy utilization.

Analysis of Aliyun-based serverless on MapReduce efficiency

In the context of the current era of big data, traditional Hadoop and cluster-based MapReduce frameworks are unable to meet the demands of modern research. This paper presents a MapReduce framework based on the AliCloud Serverless platform, which has been developed with the objective of optimizing word frequency counting in large-scale English texts. Leveraging AliCloud's dynamic resource allocation and elastic scaling, we have created an efficient and flexible text data processing system. This paper details the design and implementation of the Map and Reduce phases and analyses the impact of vCPU and memory specifications, as well as parallel resource allocation on system performance. Experimental results show that increasing vCPU specifications significantly improves processing capacity and execution efficiency. While the impact of memory specifications is relatively minor, it can positively influence performance in specific scenarios. Parallel processing markedly enhances system performance. Experiments on "Harry Potter and the Sorcerer's Stone" validate the framework's performance across various configurations. This study offers valuable insights for the design and optimization of serverless-based MapReduce frameworks, as well as suggesting future enhancements. These include the implementation of advanced parallel computing strategies, improved error handling, and refined data preprocessing, which collectively aim to boost system performance and stability.

ОСОБЕННОСТИ ПРАВОВОГО ОБЕСПЕЧЕНИЯ ДЕЯТЕЛЬНОСТИ УЧРЕЖДЕНИЙ УГОЛОВНО-ИСПОЛНИТЕЛЬНОЙ СИСТЕМЫ РЕСПУБЛИКИ БЕЛАРУСЬ ПРИ ЧРЕЗВЫЧАЙНЫХ СИТУАЦИЯХ

The article examines the problems of legal regulation of the activities of the institution of the penal system in the event of emergency situations of an anthropogenic, technological and natural nature affecting the process of execution of punishment. Topical proposals have been formulated to improve Article 76 of the Penal Code of the Republic of Belarus, which regulates relations arising from the introduction of a special status regime in a correctional institution.382

تأثير تطبيق منهجية المشاريع الرشيقة "أجايل" على جودة الأداء والمدة الزمنية لمشروع نيوم

This study explores the impact of applying Agile methodology on performance quality and project duration within the NEOM project, which represents one of the largest and most complex projects in Saudi Arabia. The study analyzes the effect of Agile implementation based on data collected through surveys and interviews with a diverse group of project stakeholders. The study was divided into several phases, starting with understanding how Agile methodology was applied in the project and assessing participant satisfaction with the methodology. Analysis of the data revealed that Agile implementation led to significant improvements in performance quality. There was a noticeable reduction in errors and a decrease in the need for ongoing adjustments, which positively impacted customer satisfaction and increased alignment with technical specifications. In terms of project duration, the results showed that Agile methodology contributed to accelerating execution processes and reducing the time required to complete tasks. Flexibility and responsiveness to changes improved significantly, leading to progress within the set timelines. This improvement was supported by incremental delivery and continuous improvement that are hallmarks of Agile methodology. The study also highlighted that successful Agile implementation requires strong support from senior management, adequate resource provision, and sufficient team training. Additionally, the results emphasized the importance of cross-team collaboration and effective communication in achieving shared goals. Based on these findings, the study offers recommendations for enhancing Agile application in similar projects.

Implication of condemnatoir verdict in the case of child custody rights in the legal way of The Denpasar Agency (Case study of case No. 358/PDT. G/2023/PA. DPS)

This study aims to find out the implications of condemnatoir decisions in child custody cases in the jurisdiction of the Denpasar Religious Court, and the obstacles faced in the implementation of the execution of child custody decisions in this jurisdiction. The study employs both normative and empirical approaches, focusing on the norm vacuum regarding the enforcement of Hadhanah (child custody) decisions. The data analysis involves a legal analysis of the normative sources to interpret and evaluate the current laws, complemented by qualitative analysis of empirical data to identify patterns, issues, and challenges in the execution process. The research offers valuable insights into the practical difficulties of enforcing child custody rulings, which could inform legal reforms or improvements in the judicial process to better protect the interests of the child and ensure compliance with judicial decisions.