Process Execution Research Articles

Association of Changes in C-Reactive Protein Level Trajectories Through Early Adulthood With Cognitive Function at Midlife: The CARDIA Study.

Late-life inflammation has been linked to dementia risk and preclinical cognitive decline, but less is known about early adult inflammation and whether this could influence cognition in midlife. We aimed to identify inflammation levels through early adulthood and determine association of these trajectories with midlife cognition. We used data from the Coronary Artery Risk Development in Young Adults study to identify inflammation trajectories (C-reactive protein [CRP] level <10 mg/L) over 18 years through early adulthood (age range 24-58) in latent class analysis and to assess associations with cognition 5 years after the last CRP measurement (age range 47-63). Six cognitive domains were evaluated from tests of verbal memory, processing speed, executive function, verbal and category fluency, and global cognition; poor cognitive performance was defined as a decline of ≥1 SD less than the mean on each domain. The primary outcome was poor cognitive performance. Logistic regression was used to adjust for demographics, smoking, alcohol use, physical activity, and APOE 4 status. Among 2,364 participants, the mean (SD) age was 50.2 (3.5) years; 55% were female, and 57% were White. Three CRP trajectories emerged over 18 years: lower stable (45%), moderate/increasing (16%), and consistently higher (39%). Compared with lower stable CRP, both consistently higher (adjusted odds ratio [aOR] 1.67, 95% CI 1.23-2.26) and moderately/increasing (aOR 2.04, 95% CI 1.40-2.96) CRP had higher odds of poor processing speed; consistently higher CRP additionally had higher odds of poor executive function (aOR 1.36, 95% CI 1.00-1.88). For memory (moderately/increasing aOR 1.36, 95% CI 1.00-1.88; consistently higher aOR 1.18, 95% CI 0.90-1.54), letter fluency (moderately/increasing aOR 1.00, 95% CI 0.69-1.43; consistently higher aOR 1.05, 95% CI 0.80-1.39), category fluency (moderately/increasing aOR 1.16, 95% CI 0.82-1.63; consistently higher aOR 1.11, 95% CI 0.85-1.45), or global cognition (moderately/increasing aOR 1.16, 95% CI 0.82-1.63; consistently higher aOR 1.11, 95% CI 0.85-1.45), no association was observed. Consistently higher or moderate/increasing inflammation starting in early adulthood may lead to worse midlife executive function and processing speed. Study limitations include selection bias due to loss to follow-up and reliance on CRP as the only inflammatory marker. Inflammation is important for cognitive aging and may begin much earlier than previously known.

On a dynamic and decentralized energy-aware technique for multi-robot task allocation

In the real world, multi-robot systems need to deal with on-the-fly (runtime) arrivals of new sets of tasks. This entails repeated adjustments of their current task allocations to include the newer ones while also ensuring that the overall performance does not degrade. This paper proposes a decentralized and distributed dynamic task allocation algorithm to handle this issue in a multi-robot scenario. The proposed work provides a conflict-free allocation of a set of tasks constituting a job to robots and minimizes the total execution time. These jobs can comprise multiple independent and/or dependent tasks or a combination thereof, which are injected on-the-fly into a network of robots. The dependent tasks of a job are related by precedence constraints that specify the ordering or dependencies between pairs of tasks. The work also describes a decentralized adaptive energy threshold mechanism for determining whether or not a robot needs to visit a battery stockpile after the execution of a task. Conflicting task selections among the robots in this decentralized set-up are resolved using mobile agents during runtime. Apart from allocating tasks to the robots, these mobile agents exploit the benefits of centralized and decentralized systems and provide an advantage over auction-based task allocation algorithms. The proposed algorithm takes into consideration the energy requirements, both during the task allocation process and actual execution. The proposed algorithm also caters to strategies to deal with delays caused by obstacles and congestion during the actual execution of the tasks. Experiments conducted using Webots, an open-source robot simulator, and Tartarus, a multi-agent platform, authenticate the efficacy of the proposed algorithm compared to other prominent task allocation algorithms in terms of minimization of average waiting time, total task allocation time, total job allocation time, and total execution time of an experiment.

Smartphone-Based Task Scheduling in UAV Networks for Disaster Relief

Earthquake disasters are usually very destructive and pose a great threat to human life and property. Based on the relatively mature technology of unmanned aerial vehicles (UAVs) and their high flexibility, these devices are widely used for information collection and processing in post-disaster relief operations. However, UAVs are limited by their battery capacity, which makes it hard for them to perform both large-scale information gathering and data processing at the same time. Nowadays, smartphones (SPs), which have become portable devices for people, have the characteristics of strong computing power, rich communication means and wide distribution. Therefore, in this study, we developed SPs to assist UAVs in computation incentive-based task execution. To balance the cost of UAVs and the execution utility of SPs during the task execution process, a multi-objective optimization problem was established, and the Multi-Objective Mutation-Immune Bat (MOMIB) algorithm was developed to optimize the proposed problem. Additionally, considering the diversity of tasks in real-world scenarios, Quality of Service (QoS) coefficients were introduced to ensure the performance requirements of different types of tasks. A large number of simulation experiments show that the task-offloading scheme that we propose is effective.

Predictive associations of executive functions and oppositional defiant problems and obsessive-compulsive problems in preschoolers

ABSTRACT Oppositional defiant problems (ODP) and obsessive-compulsive problems (OCP) may co-occur in children, though the way they interact is not known. The aim of the study was to examine longitudinal associations between executive functions at age 3 and ODP, ODP dimensions, and OCP at age 6. The sample consisted of 622 preschoolers (50% were boys) from the general population. Executive functions were assessed by teachers using the Behavior Rating Inventory of Executive Functioning – Preschool version questionnaire when children were 3 years old, and ODP and OCP were informed by parents and teachers at the age of 6 years. Multiple linear regression analyses indicated that higher Inhibit and Emotional Control and lower Shift deficits were associated with higher ODP reported by teachers, while higher Shift but lower Inhibit deficits were related to higher OCP. Moreover, ODP and OCP shared difficulties on the Flexibility Index, which means that the capacity to modulate emotions and behavior according to contextual and environmental demands is compromised in both disorders. The findings inform etiology and prevention, pointing out not only the executive function specificities related to each problem, but also common cognitive challenges related to Flexibility. Young children could benefit from training and programs designed to improve executive function processes at an early age to prevent later behavioral difficulties.

Prevalence and characteristics of vascular cognitive impairment in a European cohort of adult patients with Moyamoya angiopathy

IntroductionMoyamoya angiopathy (MMA) is associated with a high risk of stroke, but it is also increasingly recognized as leading to cognitive impairment. The aim of this study was to determine the prevalence, nature, and severity of vascular cognitive impairment no dementia (VCIND) in adults with MMA and to identify clinical and imaging factors associated with VCIND.MethodsWe conducted a retrospective study of consecutive adult patients with MMA followed in two tertiary hospitals (Toulouse and Paris Lariboisiere). All patients underwent neuropsychological assessment and brain magnetic resonance imaging (MRI). VCIND was defined as at least two variables of the same cognitive process with z-scores of < 2 standard deviations, regardless of the cognitive domain, that do not interfere in everyday life. Baseline demographic, clinical, and imaging data were compared between patients with and without VCIND.ResultsA total of 102 patients (mean age 43 years; 65% women) were included. Thirty-four patients (33.3%) had VCIND. VCIND was mild in 20/34 (59%), moderate in 8/34 (23%), and severe in 6/34 (18%) patients. Executive function was the most widely affected (25.5%), followed by attention and processing speed (24.8%). In univariable analyses, VCIND was associated with ischemic stroke at diagnosis and the presence of ischemic lesions on MRI.ConclusionsVCIND is highly prevalent in adults with MMA. Executive functions and processing speed are predominantly affected. These findings may guide clinicians in their evaluation of patients with MMA. Further research should assess the effect of revascularization therapies on cognitive functions.

Dynamic functional network connectivity in patients with a mismatch between white matter hyperintensity and cognitive function.

White matter hyperintensity (WMH) in patients with cerebral small vessel disease (CSVD) is strongly associated with cognitive impairment. However, the severity of WMH does not coincide fully with cognitive impairment. This study aims to explore the differences in the dynamic functional network connectivity (dFNC) of WMH with cognitively matched and mismatched patients, to better understand the underlying mechanisms from a quantitative perspective. The resting-state functional magnetic resonance imaging (rs-fMRI) and cognitive function scale assessment of the patients were acquired. Preprocessing of the rs-fMRI data was performed, and this was followed by dFNC analysis to obtain the dFNC metrics. Compared the dFNC and dFNC metrics within different states between mismatch and match group, we analyzed the correlation between dFNC metrics and cognitive function. Finally, to analyze the reasons for the differences between the mismatch and match groups, the CSVD imaging features of each patient were quantified with the assistance of the uAI Discover system. The 149 CSVD patients included 20 cases of "Type I mismatch," 51 cases of Type I match, 38 cases of "Type II mismatch," and 40 cases of "Type II match." Using dFNC analysis, we found that the fraction time (FT) and mean dwell time (MDT) of State 2 differed significantly between "Type I match" and "Type I mismatch"; the FT of States 1 and 4 differed significantly between "Type II match" and "Type II mismatch." Correlation analysis revealed that dFNC metrics in CSVD patients correlated with executive function and information processing speed among the various cognitive functions. Through quantitative analysis, we found that the number of perivascular spaces and bilateral medial temporal lobe atrophy (MTA) scores differed significantly between "Type I match" and "Type I mismatch," while the left MTA score differed between "Type II match" and "Type II mismatch." Different mechanisms were implicated in these two types of mismatch: Type I affected higher-order networks, and may be related to the number of perivascular spaces and brain atrophy, whereas Type II affected the primary networks, and may be related to brain atrophy and the years of education.

Executive Ability of Online Learning of Educational Masters: Findings from 249 Postgraduates in Northeast China

The purpose of this study is to describe the Chinese postgraduate students of education major on their learning executive ability in the process of online teaching, especially with the circumstance of COVID-19 spreading around the world, resulting in the temporary fully online learning to almost all the universities. The study does not involve the use of teachers' network teaching, the management of schools' network teaching, the network or technology or platform. Based on the data, this analysis aims to objectively reflect the comprehensive views of first-year students of the Ed.M on their own learning execution in the current online teaching process.

Juridical Analysis of Implementation of Multi-Purpose Financing Agreements at PT. Sinarmas Mataram Branch

This research aims to analyze the implementation of multipurpose financing at the Mataram branch of Sinarmas Multifinance, as well as to analyze the settlement in the event of a debtor defaulting in a multipurpose financing agreement at Sinarmas Multifinance Mataram branch. By using empirical legal research methods. The results of this research show that the implementation of multi-purpose financing agreements in multi-finance companies begins with good intentions between the two parties entering into the agreement. Settlement of disputes if the debtor defaults on the financing agreement, in this case PT. Sinarmas Multifinance has made its own rules in accordance with the provisions for the execution of fiduciary guarantees in PT multipurpose financing agreements. Sinarmas Multifinance is stated in the terms and conditions of the multipurpose financing agreement providing funding facilities in the provisions of Article 6. Multipurpose agreement made by PT. Sinarmas Multi Finance Mataram Branch is legally strong enough to protect its interests and conversely its protection for consumers is very weak, however the practice/procedure or mechanism of the multipurpose agreement implemented by PT. Sinarmas Multi Finance Mataram Branch has created a weak position for debtors. Apart from that, the execution process at PT. Sinarmas Multifinance Mataram Branch does not wait for the Court's Decision, which according to the rules in the execution process must first wait for the competent Court's Decision. multipurpose agreement, the parties, both creditors and debtors, should understand their respective rights and obligations and be responsible for implementing the agreement as agreed in good faith and complying with the prohibitions contained in the agreement so as not to cause disputes that cause losses to the parties.

SmartExecutor: Coverage-Driven Symbolic Execution Guided via State Prioritization and Function Selection

Symbolic execution of smart contracts suffers from sequence explosion. Some existing tools limit the sequence length, thus being unable to adequately evaluate some functions. In this paper, we propose a symbolic execution approach without limiting the sequence length. In our approach, the symbolic execution process is a two-phase model that maximizes code coverage while reducing the number of sequences to be executed. The first phase executes all sequences up to a length limit to identify the not-fully covered functions while the second attempts to cover these functions according to state evaluation and a function graph structure. We have developed a tool called SmartExecutor and conducted an experimental evaluation on the SGUARD dataset. The experimental results indicate that compared with state-of-the-art tools, SmartExecutor achieves higher code coverage with less time. It also detects more vulnerabilities than Mythril, a state-of-the-art symbolic execution tool.

Exploring virtual facilitation of co-development

PurposeThe purpose of this study is to investigate facilitator’s tools and actions in promoting interaction in virtual co-development.Design/methodology/approachIn virtual environments, facilitation plays a crucial role. However, research does not provide many examples of tools and practices of virtual facilitation of co-development. To collect data, two virtual co-development processes were conducted. The data consisted of discussions during virtual workshops and was analyzed using both theory- and data-driven content analysis.FindingsThe discussions during the virtual co-development processes related on the topic and script of co-development and the use of digital technology. In co-development, both the facilitators and the participants take responsibility on the topic and the progression of the session. The facilitator needs to balance between offering the participants tools, supporting interaction and leaving empty space for the participants’ initiatives to enhance their agency.Originality/valueThe study underlines the importance of the script and tools in virtual facilitation as well as flexibility in the execution of co-development processes.

Childhood motor difficulties and cognitive impairment in midlife: A 40-year cohort study.

We aimed to examine the association of childhood motor difficulties (MD) with cognitive impairment in midlife. We studied 357 participants from a cohort born in 1971-1975. At age 9, they had completed the Test of Motor Impairment, which classified them into three groups: childhood MD (cMD), borderline cMD (bcMD), or no cMD. Participants with attention-deficit/hyperactivity disorder were excluded. At age 40, participants comprised 18 (5.0%) with cMD, 43 (12.0%) with bcMD, and 296 (82.9%) with no cMD. They underwent neuropsychological assessment covering six domains: executive functions, processing speed, attention and working memory, learning and memory, verbal symbolic abilities, and visuoperceptual and visuospatial abilities. A participant was considered to have an impairment if their performance was in the 15th percentile of a normative group. Participants with cMD were more likely than those with no cMD to have an impairment in executive functions (OR = 6.73, p < .01), processing speed (OR = 3.85, p < .05), attention and working memory (OR = 4.79, p < .01), and a cross-domain impairment (OR = 3.62, p < .01). These differences remained significant after adjusting for parents' occupation, sex, and low birth weight and after multiple imputation. No consistent difference emerged between participants with bcMD and no cMD. Childhood MD are associated with midlife cognitive impairment, which underscores their long-term implications. In the neuropsychological assessment of an adult patient, information on childhood motor development is of value. The assessment may help adapt the patient's physical or occupational therapy to the patient's cognitive profile. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

IMPLEMENTATION OF CHARACTER FORMATION FOR STUDENTS THROUGH EXTRACURRICULAR ACTIVITY MANAGEMENT AT INTEGRATED ISLAMIC ELEMENTARY SCHOOL BANDAR LAMPUNG

Education seeks to build students' moral character and personalities as well as their ability to collaborate with others, be responsible, autonomous, and have high moral standards. It does not merely concentrate on academic success. Participating in extracurricular activities helps students develop positive character traits. Utilizing a case study methodology and a descriptive qualitative approach, this study examines how extracurricular activities shape students' personalities and how they are managed. According to the study's findings, extracurricular activities help kids grow in their social skills, leadership, feeling of accountability, self-assurance, and academic prowess. The purpose of evaluating extracurricular activities is to find out how well they help kids develop desirable character traits. It is possible to develop extracurricular activities by offering a greater range of options, encouraging student participation in the planning and execution process, training managers, and providing suitable infrastructure and facilities. Good extracurricular activity management is essential to developing students' good character traits and equipping them for life's difficulties.

A - 46 Putting Together “Puzzle Pieces” of the Game: Executive Functions in Athletes with Sports-Related Concussion History

Abstract Purpose While previous quantitative research has explored the malleability of executive functions in sports, there’s a gap in understanding athletes’ descriptions and utilization of executive functions during gameplay. Understanding these processes from athletes’ perspectives is crucial for developing relevant assessments, particularly following sports-related concussion (SRC), as well as using accessible athlete-driven language to describing executive function in sports neuropsychology. Thus, our study aimed to explore how athletes deploy executive functions during games and identify the most crucial executive function components for success. Method 19 Canadian collegiate athletes (ages 18–25; 37% female) with a history of SRC across various sports (soccer, volleyball, rugby, and basketball) were recruited. Participants completed semi-structured interviews via Zoom with a focus on identifying their executive function processes in their respective sports. Thematic analysis, following Braun and Clarke’s (2006) approach, was used to analyze the interview transcripts. Results We generated three themes: 1) Planning, organizing, and deciding action before actively involved in the play; 2) Problem solving when the contingencies for the pre-planned play changes; 3) Processing and evaluating performance immediately after a play. Conclusions These results provide nuance to our understanding of executive functions in sport by gaining insight into how athletes think while playing, information that neither tasks nor questionnaires offer. Through qualitative interviews, we discovered athletes engage in various executive processes throughout the game, including strategic planning and problem-solving. Overall, this study highlights specific executive processes employed throughout a game, which may become areas of focus for assessment, interventions, and follow-up for athletes following SRC.

A multi-modal context-aware sequence stage validation for human-centric AR assembly

Augmented reality (AR) has demonstrated its superior performance to benefit manual assembly tasks by delivering intuitive guidance on the workbench directly, alleviating the mental load while leading to time-saving operations. Nevertheless, current AR-assisted assembly mainly focuses on superimposing visual instructions onto real scenarios and assumes that the worker performs correctly as instructed, ignoring the confirmation of the actual assembly execution processes, and it is still difficult to avoid operating errors on the shop floor. To this end, this paper aims to propose a multi-modal context-aware on-site assembly stage recognition for human-centric AR assembly. Firstly, a sim-real point cloud-based semantic understanding method for assembly stage identification is presented, which can recognize the current sequence stage during the AR assembly process even when encountering weakly textured workpieces. In addition, a 2D image-based semantic recognition for on-site images is applied as compensation from the RGBD camera, resulting in a robust multi-modal context-aware assembly stage validation for the ongoing AR assembly tasks. Followed by a context-aware closed-loop AR assembly system that provides actual assembly result confirmation automatically, relieving the mental load for workers to activate the next assembly instruction, as well as confirm the current status during the actual operation. Finally, extensive experiments are carried out, and the results illustrate that the proposed context-aware AR assembly system can monitor the on-site sequence stage while providing a human-centric AR assembly action.

How Much Is an Idea Worth?

The value of an idea in the world of investing is often overestimated, as investors are more interested in the team’s ability to turn the idea into a product or service that meets customers’ needs and wants. While an idea is the starting point, it holds no value until it faces market realities, competitors, regulations, and other factors that shape its worth. Investors look for startups with a robust execution plan, a resilient team, scalability, adaptability, early validation, and a compelling pitch. Scientific results also hold value as a starting point for potential therapies or products, but their ultimate worth depends on successful translation. The key lesson for startups and investors alike is to not overestimate the value of raw ideas or scientific results without considering the execution process’s challenges and requirements.

Open streets in Pelotas: Logical model and description of the planning and execution process

O objetivo do estudo foi desenvolver o modelo lógico do projeto Ruas de Lazer na cidade de Pelotas em 2022, assim como descrever os processos de planejamento, pactuação e execução. Trata-se de um estudo qualitativo, que utilizou a técnica de observação participante e o emprego de modelo lógico. O projeto possui características de gestão compartilhada que demarcam potencial relevante na criação de vínculo entre universidade, gestão pública e população local. Em 2022, sete eventos foram realizados com proposição de atividades culturais com música e dança, atividades físicas e esportivas e de educação em saúde. O projeto está em permanente construção e evolução, apostando na ampliação de investimentos para atingir os objetivos imediatos de oferta de atividades de lazer e de ampliação da democratização de acesso aos espaços públicos para o uso da população.

Analysis of High-Performance Parallel Computing using TOPSIS Method

High-performance parallel computing involves the simultaneous execution of multiple tasks or processes, orchestrated to achieve improved computational speed and efficiency. This approach leverages the power of parallelism, exploiting both multi-core CPUs and GPUs, distributed computing clusters, and specialized hardware accelerators. The fundamental idea is to divide a task into smaller sub-tasks that can be executed concurrently, thereby reducing processing time and enhancing overall performance. High-performance parallel computing is a transformative approach that enables us to tackle computationally intensive tasks efficiently. This abstract highlight its significance in contemporary computing and sets the stage for further exploration of the intricacies and innovations within this dynamic field. Researchers and practitioners continue to push the boundaries of what is achievable, making high-performance parallel computing a cornerstone of modern computational science and technology. High-performance parallel computing research is of paramount significance due to its transformative impact across diverse fields. It empowers scientists to tackle complex problems that were once computationally intractable, unlocking new frontiers in scientific discovery. It drives innovation in engineering and design, optimizing product development and manufacturing processes across industries. In healthcare, it accelerates genomics research and drug discovery, offering hope for improved medical treatments. Financial institutions rely on it for data analysis and risk assessment, shaping the global economy. Weather forecasting and environmental modelling are enhanced, aiding disaster preparedness and conservation efforts. In the digital age, parallel computing underpins artificial intelligence, enabling advancements in natural language processing and machine learning. Furthermore, it has vital applications in national security, space exploration, and materials science. In essence, high-performance parallel computing research serves as the backbone of technological progress, fostering innovation, efficiency, and problem-solving across a wide spectrum of disciplines, ultimately shaping the future of our world. TOPSIS, this method involves evaluating the geometric distance between each alternative solution and two reference solutions: the positive ideal solution and the negative ideal solution. The underlying principle of TOPSIS assumes that the criteria being assessed are of an ascending nature, where larger values represent better performance. To account for disparate dimensions or scales among the criteria, normalization is often employed within the TOPSIS framework. From the result Scatter- free imaging is got the first rank and object-scatter imaging is having the lowest rank.

Impact of Childhood Maltreatment on Cognitive Function and Its Relationship With Emotion Regulation in Young Adults.

Childhood maltreatment can negatively impact cognitive development, including executive function, working memory, and processing speed. This study investigated the impact of childhood maltreatment on cognitive function in young adults using various measurements, including computerized tests, and their relationship with emotional dysregulation. We recruited 149 healthy individuals with and without maltreatment experiences and used the Wechsler Adult Intelligence Scale IV (WAIS-IV) and a computerized battery to analyze cognitive function. Both the WAIS-IV and computerized tests revealed that individuals with a history of childhood maltreatment had decreased cognitive function, especially in terms of working memory and processing speed. These individuals tended to employ maladaptive emotion regulation strategies. Among cognitive functions, working memory is negatively related to maladaptive emotion regulation strategies such as catastrophizing. This study highlights the effects of childhood maltreatment on cognitive function in young adulthood. Moreover, the study suggests clinical implications of cognitive interventions for improving emotion regulation and cognitive function in individuals with a history of childhood maltreatment.

Poststroke cognitive outcome is better accounted for by white matter abnormalities automated segmentation than visual analysis

Background and aimsThe association between white matter abnormalities (WMA) and cognitive decline previously reported in poststroke patients has been mainly documented using visual scales. However, automated segmentation of WMA provides a precise determination of the volume of WMA. Nonetheless, it is rarely used in the stroke population and its potential advantage over visual scales is still unsettled. The objective of this study was to examine whether automated segmentation of WMA provides a better account than the visual Fazekas and Wahlund scales of the decline in executive functions and processing speed in stroke patients. MethodsThe analyses were conducted on the 358 patients of the GRECogVASC cohort with an MRI performed at six months poststroke in the Amiens center. WMA were visually analyzed using the Fazekas (subcortical abnormalities) and Wahlund scales. Segmentation was performed using LST (3.0.3). Following preliminary studies to determine the optimal segmentation threshold, we examined the relationship between cognitive status and WMA volume computed at each threshold using receiver operating characteristic (ROC) curves. Finally, we assessed the ability of both Fazekas and Wahlund visual scores and WMA volume to account for cognitive scores by using a bivariate Pearson correlation analysis, comparing correlation coefficients with the Fisher transformation and repeating correlation analysis after adjustment for the lesion volume. ResultsIncreasing the threshold led to an underestimation of WMA (P=0.0001) (significant for a threshold ≥0.2) and an improvement in correct rejection of signal changes in the stroke cavity (P=0.02) (significant for a threshold ≤0.5), susceptibility artifacts (P=0.002) (significant for a threshold ≤0.6), and corticospinal degeneration (P=0.03) (significant for a threshold ≤0.5). WMA volume decreased with increasing threshold (P=0.0001). Areas under the curve (AUC) did not differ according to the threshold (processing speed: P=0.85, executive cognitive functions: P=0.7). Correlation coefficients between cognitive scores and WMA were higher for WMA volume than the Fazekas (processing speed: Z=−3.442, P=0.001; executive functions: Z=−2.751, P=0.006) and Wahlund scores (processing speed: Z=−3.615, P=0.0001; executive functions: Z=−2.769, P=0.006). Adjustment for lesion volume did not alter the correlations with WMA volume (processing speed: r=−0.327 [95%CI: −0.416; −0.223], P=0.0001; executive functions: r=−0.262 [95%CI: −0.363; −0.150], P=0.0001). ConclusionThis study shows that WMA volume assessed by automated segmentation provides a better account of cognitive disorders than visual analysis. This should favor its wider use to refine imaging determinants of poststroke cognitive disorders.

Levantamento documental sobre a vida e obras de pintura mural da artista brasileira Gilda Neuberger (1911-2011)

Gilda Gelmini Neuberger (1911-2011), with a career spanning more than 60 years, was one of the rare artists to produce frescoes in Brazil during the 20th century. She was probably also the only Brazilian artist to experiment this technique on unconventional supports, as well as false frescoes with a still ambiguous meaning for the artistic community. In Brazil, the artist was a pupil of Cândido Portinari and Edson Motta and, in Italy, of Bruno Saetti. This article is based on research of primary and secondary sources, including oral testimonies from people who lived with Gilda Neuberger or knew her work. The aim is to reveal her artistic career and evaluate the potential influences of her peers in her work. The article also details the execution process and highlights the originality of her frescoes in various media, which will be analytically investigated in the future.