Execution Speed Research Articles

Risk Polymorphisms of FNDC5, BDNF, and NTRK2 and Poor Education Interact and Aggravate Age-Related Cognitive Decline.

Cognitive abilities tend to decline with aging, with variation between individuals, and many studies seek to identify genetic biomarkers that more accurately anticipate risks related to pathological aging. We investigated the influence of BDNF, NTRK2, and FNDC5 single nucleotide polymorphisms (SNPs) on the cognitive performance of young and older adults with contrasting educational backgrounds. We addressed three questions: (1) Is education associated with reduced age-related cognitive decline? (2) Does the presence of SNPs explain the variation in cognitive performance observed late in life? (3) Is education differentially associated with cognition based on the presence of BDNF, NTRK2, or FNDC5 polymorphisms? We measured the cognitive functions of young and older participants, with lower and higher education, using specific and sensitive tests of the Cambridge Automated Neuropsychological Test Assessment Battery. A three-way ANOVA revealed that SNPs were associated with differential performances in executive functions, episodic memory, sustained attention, mental and motor response speed, and visual recognition memory and that higher educational levels improved the affected cognitive functions. The results revealed that distinct SNPs affect cognition late in life differentially, suggesting their utility as potential biomarkers and emphasizing the importance of cognitive stimulation that advanced education early in life provides.

Cognitive improvement following endovascular embolization in patients with intracranial dural arteriovenous fistula: The Neuropsychology in dural ArterIal Fistula (NAIF) Study.

Cognitive improvement after endovascular embolization of an intracranial dural arteriovenous fistula (dAVF) remains unexplored. We aim to investigate cognitive changes following endovascular embolization of dAVFs. Neuropsychology in dural ArterIal Fistula (NAIF) was a prospective multicentric study including patients with an angiographic diagnosis of dAVF who underwent endovascular embolization over the course of 4 years. A complete neuropsychological evaluation comprising five cognitive domains (attention and executive functions, memory, language, praxis, gnosis) was performed at baseline and 3 months follow-up. Mean Z scores for cognitive tests were compared pre- and post-treatment using paired sample t-tests, where higher Z scores indicate better cognition. Effect sizes were computed as Cohen's d. A total of 32 patients (mean age 61.1±15.4 years, 10 (31.3%) females) were included. Patients exhibited improved performance in attention and executive functions: executive functions-attention (+0.282, P=0.009, d=0.29), executive functions-fluencies (+0.283, P=0.029, d=0.4), and executive functions-processing speed (+0.471, P=0.039, d=0.41). There was an increase in memory: verbal learning and verbal delayed recall scores (+0.513, P<0.001, d=0.55, and +0.385, P=0.001, d=0.41, respectively), while verbal recognition parameters (+0.839, P=0.086, d=0.37) and visual memory (delayed recall) (+0.430, P=0.060, d=0.35) displayed trends toward improved performance. Regarding language, there was significant overall improvement (+0.300, P=0.014, d=0.24), but neither praxis nor gnosis changed significantly. These cognitive outcomes were independent of the severity (measured as Cognard classification), and no patient experienced cognitive worsening. This study suggests that endovascular embolization confers cognitive benefits on dAVF patients undergoing endovascular embolization and may be beneficial even for patients with a low risk of hemorrhage.

Low area and high throughput hardware implementations for the LILLIPUT cipher

SummaryThe widespread use of Internet of Things devices has increased the demand for lower cost and more efficient lightweight ciphers. However, there is a difficult trade‐off between cost and efficiency for lightweight block ciphers. The optimizations of area and throughput are important for some constrained environments. This paper proposes two novel hardware architectures for the LILLIPUT cipher. In the novel low area structure, a new permutation layer is provided for LILLIPUT. The relationship between encryption algorithm and key scheduling algorithm is utilized to achieve optimal sharing among components, which significantly reduces hardware area. The experimental results show that the number of XOR gates and S‐boxes required for low area optimization is reduced by 52 and 8, respectively. The total area is reduced by about 18%. For high throughput structure, this paper provides 2‐round, 5‐round, and 15‐round loop unrolling designs for LILLIPUT to improve throughput. The experimental results show that the throughput of the 5‐round loop unrolling structure reaches a good level, which is relatively the most cost‐effective. In practical application, ciphers can be unrolled implementations according to the needs of devices to improve the execution speed, which can greatly reduce the execution time and complexity of the algorithm.

Cognitive functioning predicts learning and performance of syncopated rhythms in healthy aging adults

AbstractBackgroundRhythmic music making may be beneficial for maintenance of healthy executive functioning and processing speed throughout the aging process. However, little is known about how engagement with rhythmic music making associates with healthy executive functioning and processing speed. This study aimed to determine the predictive potential of learning and performance of rhythms upon performance in executive functioning and processing speed tasks.MethodThis study involved a cross‐sectional, non‐randomized within subjects design, defined by a rhythmic musical activity (RMA), and executive functioning (EF) and processing speed (PS) tasks. The RMA involved thirty progressively syncopated rhythms, operationalized via three learning trials and a performance trial. The EF and PS tasks included multiple subtests of the Weschler Adult Intelligence Scale (WAIS) Working Memory and Processing Speed Indices (WMI &amp; PSI), and Trail Making Parts A&amp;B.ResultHealthy younger (ages 18‐35) and elderly (ages 55‐89) individuals provided informed consent and participated (N = 60; 46 female; 78.3% Caucasian). Learning and performance of syncopated rhythms between age groups significantly predicted scores on the WAIS PSI (t = 2.227/2.101, p = 0.030/0.040) and Trails A&amp;B (t = ‐3.431/‐4.155, p = 0.003/&lt;0.001; t = ‐3.636/‐4.256, p = &lt;0.001/&lt;0.001). Only rhythm learning predicted scores on WAIS WMI (t = 2.821, p = 0.007), with a trend shown for rhythm performance (t = 1.934, p = 0.059).ConclusionThis study is one of few to show relationships between rhythm perception and executive functioning in healthy aging. The results suggest the potential value of rhythmic music making upon maintenance of healthy executive functioning and processing speed throughout the aging process. A longitudinal study involving a control group and a larger sample size may enhance the findings of this study. Additionally, application to the Alzheimer’s disease and related dementias populations may provide comparative evidence to the healthy aging population.

Preliminary evaluation of the digital maze test in relation to neuropsychological tests and AD biomarkers

AbstractBackgroundDigital cognitive tools may provide unique opportunities to detect subtle changes in preclinical Alzheimer’s disease (AD). Here, a maze test using a digital pen was evaluated in relation to AD pathological changes measured by amyloid‐β and tau burden.Method172 participants (CN = 161, MCI = 6, dementia = 5) completed the digital maze test, which included multiple “no‐choice” (NC; i.e., no decisions required to complete maze) or “choice” (CH) conditions (i.e., problem‐solving required to complete maze). Maze composite scores were calculated using the total test duration, total number of strokes, and total pen‐off‐page time for the NC and CH conditions separately. Global amyloid‐β PET was quantified with [11C]Pittsburgh‐Compound‐B (PiB) in available participants (n = 171). Entorhinal and inferior temporal tau were quantified with [18F]Flortaucipir (FTP) in available participants (n = 135). Participants completed a battery of traditional neuropsychological tests, with domain factor scores calculated for Executive Functioning (EF), Processing Speed (PS), and Memory (Mem). The associations between maze composite scores, global amyloid‐β, entorhinal tau, and inferior temporal tau were evaluated in separate linear regression models for both the total sample and CN only, correcting for age and education.ResultIn the total sample, CH‐ and NC‐composites were moderately correlated with PS and EF factor scores (r’s = .41‐.46) and less so with Mem factor scores (r’s = 0.2‐0.35). In the total sample, higher PiB was significantly associated with worse performance in NC‐composite (β = 0.543, SE = 0.249, p &lt;.05), but not for CH‐composite (β = 0.467, SE = 0.259, p = .07). Similar results were observed in the CN only sample (NC‐composite: β = 0.468, SE = 0.237, p &lt;.05; CH‐composite: β = 0.469, SE = 0.278, p = .09). PiB was not associated with EF or PS factor scores in the total sample or CN only. Entorhinal and inferior temporal tau were not significantly associated with any maze composites.ConclusionIn a largely cognitively normal sample, performance on the digital maze test was associated with global amyloid‐β burden, particularly in the no‐choice condition, but not with tau. Digitally captured, nuanced performance in EF and PS may be related to early amyloid‐β pathology, but less so with downstream effects of tau.

Exercise training mitigates the deleterious effects of experimental bed rest on intraindividual variability of executive functioning in older adults: A randomised controlled trial

AbstractBackgroundIn older adults, bed rest can occur because of chronic conditions, injury, surgery, or hospitalization. Extreme levels of physical inactivity due to bed rest initiate a downward spiral in several body systems. Exercise is a countermeasure to many of these changes; nonetheless, little is known about the effect of exercise on older adults’ cognition during bed rest. We thus examined the effects of exercise on the intraindividual variability (IIV) of cognitive performance in older adults exposed to 14 days of experimental 6° head‐down bed rest (HDBR) and whether sex moderates its effects. We chose IIV as our outcome measure because it is more sensitive than traditional summary scores of cognitive performance, albeit no studies have explored exercise effects on older adults’ IIV submitted to bed rest.MethodA non‐blinded, parallel‐group, randomised controlled trial. Twenty‐three healthy older adults aged 55‐65 were randomised to: 1) 14 days of HDBR (CON); or 2) 14 days of HDBR with daily aerobic and strength exercise (EX). Data were collected at baseline, HDBR completion, and end of seven‐day‐recovery. The National Institutes of Health Toolbox Cognitive Battery assessed executive function (Flanker Incongruent and Congruent and Dimensional Change Card Sort) and processing speed (Pattern Comparison). IIV was indexed by intraindividual coefficient of variation (ICV) and residual intraindividual standard deviation (R‐ISD), with R‐ISD as our primary measure of interest. Linear mixed models assessed group differences and the moderator role of sex.ResultAt HDBR completion, EX had significantly lower (better) Flanker incongruent ICV (Estimated mean difference = ‐0.10, 95%CI ‐0.19;‐0.003, p = 0.022) and R‐ISD (Estimated mean difference = ‐3.63, 95%CI ‐6.10;‐1.17, p = 0.005) vs. CON. Sex moderated the effect of exercise; females in EX had significantly lower Flanker incongruent ICV vs. CON (Estimated mean difference = ‐0.23; 95%CI ‐0.34;‐0.12, p&lt;0.001). At the end of the seven‐day recovery, EX had significantly lower Flanker incongruent R‐ISD vs. CON (Estimated mean difference = ‐3.11, 95%CI ‐5.70;‐0.052, p = 0.019). Summary scores and processing speed IIV changes were not statistically significant (ps&gt;0.05).ConclusionExercise during HDBR preserved executive functioning, especially in females. Our findings support the delivery of exercises to older adults during bed rest to preserve their cognitive function.

Clinical Manifestations.

Apathy is defined as the lack of motivation and has been found to be associated with incident dementia in western populations (Dalen, 2018). Little is known about the impact of apathy in Asians. Apathy is a prevalent behavioural symptom of pre dementia and current literature shows that apathy increases the risk of dementia (Bock, 2020). Apathy is also linked to an increased risk of frailty(Ayers, 2018) and found to impair executive function and processing speed(Lohner, 2017). We aim to evaluate the association of apathy with cognitive function, frailty and lifestyle factors in a pre-dementia community population in Singapore. We recruited 534 participants from the community who completed a detailed neuropsychological assessment. Apathy was measured using the mild behavioural impairment checklist (MBI-C). To test for the association of apathy with the different variables, we performed a multiple generalized linear model controlling for covariates age, sex and education. The study population included 186 participants with subjective cognitive decline and 348 mild cognitive impairment participants from Dementia Research Centre (Singapore). Mean age of the cohort was 62.55, SD = 9.55, mean education years was 13.97, SD = 3.45 and majority were women (57.1%). The prevalence of apathy among our cohort was 23.5%. Compared to participants without apathy, those with apathy had poorer cognitive scores in processing speed (test of coding) (β = -4.60, p<0.001), executive function (colour trails 2) (β = 9.71, p = 0.020), episodic memory on the RAVLT Delayed (β = -0.738, p = 0.026), RCFT Delayed (β = -1.941, p = 0.009) and FCSRT delayed (β = -0.616, p = 0.030). Participants with apathy were also more frail (β = 0.316, p<0.001) on the Fried Phenotype frailty assessment test and had poorer quality of life (β = -12.49, p<0.001), had lower levels of physical activity (β = 0.163, p = 0.017), and had poorer sleep (β = 2.25, p<0.001). Apathy is associated with worse cognitive performance, higher frailty, lower physical performance and poorer sleep in an Asian pre-dementia community cohort. Screening for apathy and appropriate early intervention could reduce incidence of dementia and frailty.

Poor Diet and Lower Neuropsychological Performance in a rural setting: The Bogalusa Heart Study

AbstractBackgroundPoor diet has been associated with insidious onset dementia. The Alternate Healthy Eating Index (AHEI) can capture overall nutrient quality and individual/population eating behaviors. Higher adherence to AHEI has been associated with a lower risk of incident dementia and better cognitive function in late life. However, most evidence comes from high‐income populations from urban areas. Here, we examined the adherence to AHEI and its association with cognitive function in midlife among Black and White individuals from a community cohort in the rural, low SES area of Bogalusa, Louisiana.MethodThis cross‐sectional analysis considered 1,040 participants from the Bogalusa Heart Study (mean age 48.1 ± 61% female, 31% Black) with a complete neuropsychological (NP) assessment and food frequency questionnaires. (AHEI‐2010 score, range 0‐110). Regression models using GEE accounted for clustering effects of neighborhood factors/SES using census‐track level codes and estimated the association between quintiles (Q1‐Q5) of AHEI‐2010 and a global cognitive z‐score (GCS) and cognitive domains.ResultIndividuals in Q5 (healthiest) tended to be female (68%, p = 0.03), significantly older (49.3 ± 5, p&lt;0.001), with higher education (³ college 56%, p&lt;0.001), and AHEI‐2010 scores from 53.38‐79.2. Compared with participants in Q1. Those in Q5 had higher GCS [ß (95% CI):1.71 (0.85, 2.57); p&lt;0.001] after adjusting for age, sex, race, and the ACS‐Index of concentration at the extremes (to account for neighborhood‐level SES). Similarly, those with the healthiest diet had higher NP z‐scores within the domains of executive function, attention and speed processing information, and episodic memory. However, these associations were not significant after adjusting for education. (Table 1) For episodic memory, individuals in quintile 4 had higher NP z‐scores after adjusting for education [0.36 (0.07, 0.65); p = 0.01], and the trend across quintiles was also significant in all models and after adjusting for education [p = 0.03].ConclusionAs early as midlife, Black and White individuals from rural settings with greater adherence to healthy dietary patterns have better NP performance across different neurocognitive domains. These results strengthen previous evidence suggesting that diet quality may be a potential avenue of intervention to prevent cognitive decline and aid health disparities.

Comparing Clinical Diagnosis of Domains of Impairment in individuals with Mild Cognitive Impairment with the NIH Toolbox‐Cognitive Battery Performance

AbstractBackgroundMild Cognitive Impairment (MCI) represents the phase between age‐associated cognitive decline and Alzheimer’s disease and related dementias. Examination of these individuals may be especially important through computer‐based batteries such as the NIH Toolbox‐Cognition Battery (NIHTB‐CB). To inform NIHTB‐CB validity, we compared MCI patients’ performance against categories of cognitive impairment defined by the consensus‐based clinical diagnosis form of the National Alzheimer’s Disease Coordinating Center (NACC) Unified Data Set UDS3. We expected a correspondence between MCI consensus‐based clinical deficit areas and specific NIHTB‐CB task performance.MethodRetrospective data analysis was conducted on 65 MCI participants from the Michigan Alzheimer’s Disease Research Center, with a mean age of 74±8.3, 65% female, who completed UDS3 and NIHTB‐CB measures. The UDS3 forms consist of interviews, medical/neurological examinations, and neuropsychological testing, with a clinical consensus‐based diagnosis form listing domains of cognitive impairment representing memory, language, attention, executive, and visuospatial functioning. Four domain impairment groupings with a minimum of 10 participants each were established (Executive Functioning, n = 10; Memory, n = 27; Memory+Executive Functioning, n = 17; and Memory+Language n = 11) and compared to NIHTH‐CB performance. ANOVAs adjusted for demographics and post hoc tests were conducted to differentiate across clinical consensus categories for the MCI participants.ResultTwo NIHTB‐CB measures yielded significant differences across the clinical grouping: Picture Sequence Memory (PSM, F = 3.3, p = 0.03) and Pattern Comparison (PC, F = 4.1, p = 0.01). For PSM, post hoc tests demonstrated higher scores for the Executive compared to Memory+Executive (PSM: p&lt;0.02) groups with a trend for Executive versus Memory groups (p&lt;.07). For PC, the Memory group performed better than both the Memory+Executive (p&lt;.02) and Memory+Language (p&lt;.04).ConclusionThe better memory performance on PSM of the MCI Executive group compared to the two groups with memory impairment is consistent with expectation. PC, as a measure of executive ability and processing speed was sensitive to clinically diagnosed executive impairment. Lower scores for the Memory+Language group on PC were unexpected. Efficient language functioning may be necessary for complex pattern comparison as dimensions shift. Findings support the validity of NIHTB‐CB. They also suggest the need for additional research on language demands for executive measures.

The Mobile Toolbox for assessing cognition in older adults: associations with standardized cognitive testing and amyloid and tau PET

AbstractBackgroundRemote, smartphone‐based cognitive assessments such as the Mobile Toolbox (MTB) can improve our ability to detect subtle, yet meaningful cognitive changes that are affected early on by Alzheimer’s disease (AD) pathology. The goal of our study was to investigate which MTB tests are sensitive to subtle cognitive deficits due to early amyloid and tau deposition.MethodThe MTB will be administered to N = 100 clinically normal (CN) older adults who have retrospective and prospective clinical, cognitive and AD biomarker data from three well‐characterized prospective cohort‐studies of CN older adults: the Harvard Aging Brain Study and the affiliated Subjective Cognitive Decline and Instrumental Activities of Daily Living cohorts. The MTB includes six measures of fluid cognition, including episodic memory (Picture Sequence Memory and Face‐Name Associations), executive functions (Dimensional Change Card Sort, Flanker), working memory (Memory for Sequence), processing speed (Number‐Symbol Match), and two measures of crystallized cognition (Spelling and Vocabulary). Using confirmatory factor analysis, MTB baseline data will be used to determine which MTB tests are most strongly associated with established clinical assessments (i.e., measures included in the Preclinical Alzheimer’s Cognitive Composite‐5 [PACC5]) as well as amyloid and tau biomarkers on positron emission tomography (PET) imaging.ResultPreliminary MTB data was available on 15 participants (age 74.3±8.2, 63% female, 16.6±2.9 years of education, MMSE 29±1.5). Table 1 shows exploratory correlation analyses, revealing that both MTB crystallized measures were associated with education but not age or sex. As expected, worse performance on MTB memory measures were associated with lower PACC5 scores, and greater amyloid and tau burden, albeit at trend‐level. Executive function and processing speed measures were not related to amyloid but did show associations with entorhinal tau.ConclusionWhile preliminary, these findings suggest that the MTB may help elucidate the subtle cognitive deficits that are associated with early AD pathology. In addition to memory measures, the MTB fluid measures capture various aspects of cognitive function that are also relevant to preclinical AD. Data collection is ongoing, and next steps include examining which (combination of) MTB measures are most sensitive for detecting emerging AD pathology and to track cognitive change over time.

Executive function performance depends on hypertension in individuals with sub‐threshold total Hachinski score

AbstractBackgroundThe Hachinski Ischemia Scale (HIS) differentiates AD and vascular dementia and is used to include individuals with minimal vascular risk factors in ADNI i.e., HIS ≤ 4. HIS score includes history of hypertension (HMHYPERT), a known risk for mild cognitive impairment (MCI) and vascular dementia. Cerebrovascular disease affects performance on tasks involving executive function, such as, planning and processing speed more than memory. Here, we determined if HMHYPERT scores influences executive functioning in all ADNI3 participants with normal cognition (CN) and MCI even with minimal vascular risks.MethodWe included a total of 272 participants (102 MCI, age = 74± 8 [42F, 50 HMHYPERT&gt;0], MoCA = 23 ±3 and 170 CN, age = 73 ±6, [109F, 62 HMHYPERT&gt;0], MoCA = 26 ±3), who underwent HIS, Trails Making Test B, Clock Drawing and Copy scores for executive function, and The Rey Auditory Verbal Learning Test (RAVLT) and Logical Memory Test (LOGMEM) scores for memory performance within 12 months. We converted both memory tests into z‐scores and created a composite memory score. Similarly, we created a composite executive function score. To determine if HMHYPERT was associated particularly with executive function, we ran the linear regression analyses twice for the two composite cognitive scores. The following model was used: Composite score ∼ Normalized Age + Sex + Cognitive status * HMHYPERT.Result Executive function: Fig. 1 A shows scores for Trails B, Clock Draw and Clock Copy. The regression analysis showed that executive function was associated with only sex and HYMHYPERT (p&lt;0.05).Memory function Fig. 1 B shows scores for Logical Memory and RAVLT tests in CN and MCI. As expected, MCI groups demonstrate the lowest averages compared to CN groups. As expected, regression analysis showed that memory performance was strongly determined by diagnostic status (p&lt;0.001). Age was significantly associated with memory performance (p&lt;0.05). HMHYPERT was only marginally significantly associated with memory performance (p = 0.08).ConclusionUsing HMHYPERT score as a measure of vascular risk, we observed notable differences in executive function. Although HIS scores ≤ 4 minimize vascular pathology in ADNI3, cognitive performance is still associated with these scores.

Tolerance to ridiculous impacts in school children with a great range of psychological well-being

The impact of the psychological well-being level of high school seniors on their tolerance for cognitive load was analyzed. The study involved 93 students: 45 males and 48 females – 11th-grade students from Dnipro (Ukraine), who were categorized into three groups based on their level of psychological well-being: I – individuals with a high level of psychological well-being, II – individuals with an average level of psychological well-being, and III – individuals with a low level of psychological well-being. To determine the level of psychological well-being, the "Scales of Psychological Well-Being" (SPWB) questionnaire was used, adapted by T.D. Shevelenkova and P.P. Fesenko. Cognitive load was assessed using the correction test by V.Ya. Anfimov and arithmetic tasks, allowing the evaluation of the ability to perceive significant information. Task performance efficiency was determined by the number of correctly solved tasks in 5 minutes (accuracy) and the total number of tasks completed (speed of execution). The level of tolerance to cognitive load was assessed using E.P. Il'in's tapping test modified by G.V. Okhromiy. Tolerance to cognitive load was evaluated based on the difference in the lability of the nervous system before and after the test. Statistical processing was conducted using the Statistica 6.0 application program for Windows. It was found that students with average and high levels of psychological well-being demonstrated better tolerance to cognitive load than students with a low level of psychological well-being. At a low level of psychological well-being, males exhibited a moderate-low type of nervous system and average lability of nervous system processes, while females showed a weak type of nervous system and low lability of nervous system processes.

The impact of frontal lesions after mild to moderate traumatic brain injury on frontal network measures.

To investigate the impact of frontal macro-structural lesions on intrinsic network measures, we examined brain network function during resting-state fMRI in patients with frontal lesions in the subacute phase after mild to moderate traumatic brain injury. Additionally, network function was related to neuropsychological performances. 17 patients with frontal lesions, identified on admission CT after mild to moderate trauma, were compared to 30 traumatic brain injury patients without frontal lesions and 20 healthy controls. Three months post-injury, we acquired fMRI scans and neuropsychological assessments (measuring frontal executive functions and information processing speed). Using independent component analysis, the activity of and connectivity between network components (largely located in the prefrontal cortex) and relations with neuropsychological measures were examined and compared across groups. The analysis yielded five predominantly frontal components: anterior and posterior part of the default mode network, left and right frontoparietal network and salience network. No significant differences concerning fMRI measures were found across groups. However, the frontal lesions group performed significantly worse on neuropsychological tests than the other two groups. Additionally, the frontal lesions group showed a significant positive association of stronger default mode network-salience network connectivity with better executive performances. Our findings suggest that, on fMRI level, frontal network measures are not largely affected by frontal lesions following a mild to moderate traumatic brain injury. Yet, patients with damage to the frontal structures did show poorer executive abilities which might to some degree be related to altered frontal network connectivity between the default mode network and salience network.

Horus : Accelerating Kernel Fuzzing through Efficient Host-VM Memory Access Procedures

Kernel fuzzing is an effective technique in operating system vulnerability detection. Fuzzers such as Syzkaller and Moonshine frequently pass highly structured data between fuzzer processes in guest virtual machines and manager processes in the host operating system to synchronize fuzzing-relevant data and information. Since the guest virtual machines’ and the host operating system’s memory spaces are mutually isolated, fuzzers conduct synchronization operations using mechanisms such as Remote Procedure Calls over TCP/IP networks, incurring significant overheads that negatively impact the fuzzer’s efficiency and effectiveness in increasing code coverage and finding vulnerabilities. In this paper, we propose Horus , a kernel fuzzing data transfer mechanism that mitigates the aforementioned data transfer overheads. Horus removes host-VM memory isolation and performs data transfers through copying to and from target memory locations in the guest virtual machine. Horus facilitates such efficient transfers through using fixed stub structures in the guest’s memory space, whose addresses, along with the guest’s RAM contents, are exposed to the host during the fuzzer’s initialization process. When conducting transfers, Horus passes highly-structured non-trivial data between the host and guest instances through copying the data directly to and from the stub structures, reducing the overall overhead significantly compared to that of using a network-based approach. We implemented Horus upon state-of-the-art kernel fuzzers Syzkaller , Moonshine and kAFL and evaluated its effectiveness. For Syzkaller and Moonshine , Horus increased their transfer speeds by 84.5% and 85.8% for non-trivial workloads on average and improved their fuzzing throughputs by 31.07% and 30.62%, respectively. Syzkaller and Moonshine both achieved a coverage speedup of 1.6× through using Horus . For kAFL, Horus improved specifically its Redqueen component’s execution speeds by 19.4%.

Recommending K-Wave Items Tailored for Small-Sized Exporters by Incorporating Dense and Sparse Vectors

As K-wave has been strengthened via recent K-contents, K-wave items such as cosmetics and electronic devices have also gained attention globally. For small-sized export sellers who purchased the items and exported them to different countries, it is significant to discover which K-wave items are trending in specific countries. To do so, we proposed an ensemble recommender system by producing the dense vector, which is generated by a variant of Bidirectional Encoder Representations from Transformers (BERT), and balancing the vector with a sparse vector in order to ensure the efficient execution speed and recommendation accuracy. Based on the data we have collected specifically for potential K-items, our experiment showed that the proposed model outperforms the various baselines, which are used for content-based filtering.

Optimal Radio Propagation Modeling and Parametric Tuning Using Optimization Algorithms

Benchmarking different optimization algorithms is tasky, particularly for network-based cellular communication systems. The design and management process of these systems involves many stochastic variables and complex design parameters that demand an unbiased estimation and analysis. Though several optimization algorithms exist for different parametric modeling and tuning, an in-depth evaluation of their functional performance has not been adequately addressed, especially for cellular communication systems. Firstly, in this paper, nine key numerical and global optimization algorithms, comprising Gauss–Newton (GN), gradient descent (GD), Genetic Algorithm (GA), Levenberg–Marguardt (LM), Quasi-Newton (QN), Trust-Region–Dog-Leg (TR), pattern search (PAS), Simulated Annealing (SA), and particle swam (PS), have been benchmarked against measured data. The experimental data were taken from different radio signal propagation terrains around four eNodeB cells. In order to assist the radio frequency (RF) engineer in selecting the most suitable optimization method for the parametric model tuning, three-fold benchmarking criteria comprising the Accuracy Profile Benchmark (APB), Function Evaluation Benchmark (FEB), and Execution Speed Benchmark (ESB) were employed. The APB and FEB were quantitatively compared against the measured data for fair benchmarking. By leveraging the APB performance criteria, the QN achieved the best results with the preferred values of 98.34, 97.31, 97.44, and 96.65% in locations 1–4. The GD attained the worst performance with the lowest APE values of 98.25, 95.45, 96.10, and 95.70 in the tested locations. In terms of objective function values and their evaluation count, the QN algorithm shows the fewest function counts of 44, 44, 56, and 44, and the lowest objective values of 80.85, 37.77, 54.69, and 41.24, thus attaining the best optimization algorithm results across the study locations. The worst performance was attained by the GD with objective values of 86.45, 39.58, 76.66, and 54.27, respectively. Though the objective values achieved with global optimization methods, PAS, GA, PS, and SA, are relatively small compared to the QN, their function evaluation counts are high. The PAS, GA, PS, and SA recorded 1367, 2550, 3450, and 2818 function evaluation counts, which are relatively high. Overall, the QN algorithm achieves the best optimization, and it can serve as a reference for RF engineers in selecting suitable optimization methods for propagation modeling and parametric tuning.

Impact of insulin resistance on mild cognitive impairment in type 2 diabetes mellitus patients with non-alcoholic fatty liver disease

AimsInsulin resistance (IR) is a pivotal factor in the pathogenesis of type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD). Nevertheless, the impact of IR on cognitive dysfunction in T2DM patients with NAFLD remains inadequately understood. We aim to investigate the effect of IR on mild cognitive impairment (MCI) in T2DM individuals with NAFLD.Materials and methods143 T2DM individuals were categorized into Non-MCI and MCI groups, as well as Non-NAFLD and NAFLD groups. Clinical parameters and cognitive preference test outcomes were compared. Correlation and regression analyses were executed to explore the interconnections between IR and cognitive details across all T2DM patients, as well as within the subgroup of individuals with NAFLD.ResultsIn comparison to the Non-MCI group, the MCI group displayed elevated HOMA-IR levels. Similarly, the NAFLD group exhibited higher HOMA-IR levels compared to the Non-NAFLD group. Additionally, a higher prevalence of MCI was observed in the NAFLD group as opposed to the Non-NAFLD group. Notably, HOMA-IR levels were correlated with Verbal Fluency Test (VFT) and Trail Making Test-B (TMTB) scores, both related to executive functions. Elevated HOMA-IR emerged as a risk factor for MCI in the all patients. Intriguingly, increased HOMA-IR not only correlated with TMTB scores but also demonstrated an influence on TMTA scores, reflecting information processing speed function in patients with NAFLD.ConclusionIR emerges as a contributory factor to cognitive dysfunction in T2DM patients. Furthermore, it appears to underlie impaired executive function and information processing speed function in T2DM individuals with NAFLD.

30 Exploring the Differential Importance of Modifiable Fitness Variables on Cognitive Performance in Older Adults

Objective:To identify the relative contributions and importance of modifiable fitness and demographic variables to cognitive performance in a cohort of healthy older adults.Participants and Methods:Metrics of modifiable fitness (gait speed, respiratory function, grip strength, and body mass index (BMI)) and cognition (executive function, episodic memory, and processing speed) were assessed in 619 older adults from the Health and Retirement Study 2016 wave (mean age = 74.9, sd = 6.9; mean education = 13.4 years, sd = 2.6; 42% female). General linear models were employed to assess the contribution of modifiable fitness variables in predicting three domains of cognition: executive function, episodic memory, and processing speed. Demographics (age, sex, education, time between appointments, and a chronic disease score) were entered as covariates for each model. Relative importance metrics were computed for all variables in each model using Lindeman, Merenda, and Gold (lmg) analysis, a technique which decomposes a given model’s explained variance to describe the average contribution of each predictor variable, independent of its position in the linear model.Results:When all variables were entered into the general linear model, demographic and modifiable fitness variables explained 35%, 24%, and 26% of the variance in executive function, episodic memory, and processing speed, respectively (all three models were significant, p &lt;0.001). Age, education, respiratory function, and walking speed had higher relative importance values (all lmgs &gt; 1.8) compared to BMI, grip strength, and other covariates in all three models (all lmgs &lt; 1.3). Gender was also relatively important in the executive function (lmg = 4.2) and episodic memory models (lmg = 5.0). Of the modifiable fitness variables, walking speed and respiratory function had the greatest lmg values (5.8 and 6.4 respectively) in the executive function model, similar to demographic variables age (lmg = 6.0) and education (lmg = 8.9). When demographic variables were entered as covariates, modifiable fitness variables collectively accounted for an additional 9.7%, 6.3%, and 6.0% variance in the executive function, episodic memory, and processing speed models respectively (all three models were significant, p &lt;0.001).Conclusions:Our findings indicate that walking speed and respiratory function are of similar importance compared to “traditional” demographic variables such as age and education in predicting cognitive performance in a cohort of healthy older adults. Moreover, modifiable fitness variables accounted for unique variance in executive function, episodic memory, and processing speed after accounting for age and education. Modifiable fitness variables explained the most unique variance in executive function. These results extend the current literature by demonstrating that modifiable fitness variables, even when assessed with brief and relatively coarse measures of physical performance, may be useful in predicting cognitive function. Moreover, the results highlight the need to assess metrics of cognitive reserve, such as education, as well as modifiable fitness variables and their respective roles in accounting for cognitive performance. The data further suggest that relative contributions of physical performance metrics may vary by cognitive domain in healthy older adults.

2 Validity and Reliability of Mobile Toolbox Cognitive Assessments

Objective:To present validation evidence for the first eight cognitive measures available through Mobile Toolbox (MTB). These measures use a remote self-administered platform to assess language, working memory, episodic memory, executive function, and processing speed.Participants and Methods:We used two separate samples, recruited as part of a larger study, to validate MTB measures. Sample I, comprised of 92 English-speaking adults ages 18-85, was used to assess internal consistency and construct validity. Participants were first administered “gold standard” cognitive measures (Wechsler Memory Scale-IV Verbal Paired Associates I and II; Wechsler Adult Intelligence Scale-IV Symbol Search, Digit Span, Coding, and Letter-Number Sequencing; Delis-Kaplan Executive Function System Color-Word Interference Test, Peabody Picture Vocabulary Test, Wechsler Individual Achievement Test-4 Spelling, and the Wisconsin Card Sorting Test), after which they completed MTB (pre-loaded on a study-provided smartphone) on their own. Internal consistency was evaluated using measure-appropriate indices (split-half reliability, Cronbach’s alpha or IRT-based indices). Pearson correlation coefficients between MTB tests and measures of similar constructs were used to evaluate concurrent validity. For two tests with timing-dependent scores, Arrow Matching and Shape-Color Sorting, separate analyses were performed for iOS and Android devices. Sample II, with 1,120 English-speaking participants ages 18-90, was used to evaluate age-related change. Participants completed MTB measures remotely on their own smartphones, in a preset order, within a 14-day period. Spearman correlation coefficients, corrected for education, were calculated to evaluate relationships between age and test scores.Results:Sample I participants were 67% female, 52% white, 99% non-Hispanic; average age=48 (SD= 17). Education was: &lt; high school (1%); high school (55%); some college (21%); college (15%); graduate degree (8%). Internal consistency estimates ranged from 0.81 to 0.99. Pearson correlations between MTB and external measures ranged from 0.41 to 0.86 (all p &lt; .01). Of the timed tests, only Shape-Color sorting showed significant score differences between Android and iOS devices. Sample II was 57% female, 13% Hispanic, 72% white, mean age = 45 (SD = 21). Education distribution was: &lt; high school (2%); high school (34%); some college (34%), college (20%); graduate degree (11%). Measures of executive function (r = -0.50; r=-0.57) and processing speed (r= -0.61) showed the expected negative correlation with age (all p &lt;0.001). Negative correlations, although weaker, were also seen on measures of working memory (r=-0.2) and episodic memory (r=-0.2, r=-0.37; p.&lt;.001). Vocabulary performance improved with age (r=0.4; p&lt;.001), while spelling scores remained stable (r=0.09).Conclusions:Initial studies support the validity and reliability of the first eight MTB cognitive measures in two diverse samples. MTB tests showed satisfactory construct validity, as demonstrated by the associations between MTB and well-established tests. Furthermore, most MTB measures correlated with age in the expected directions. Executive function, processing speed and memory typically decrease with age and this decrease was reflected in MTB test performance. In contrast, spelling and vocabulary, typically preserved as we age, did not decrease in our sample. Our results support the use of MTB in cognitive aging research.

71 Examining the Psychometric Validity of NeuroScreen to Assess Neurocognition in Hospitalized Psychosis Patients in Uganda

Objective:People with psychotic disorders often experience neurocognitive deficits, such as neurocognitive impairment (NCI), which can negatively affect their daily activities (e.g., performing independent tasks) and recovery. Because of this, the American Psychology Association advocates integrating neurocognitive testing into routine care for people living with psychotic disorders, especially those in their first episode, to inform treatment and improve clinical outcomes. However, in low-and-middle income countries (LMICs), such as Uganda where the current study took place, administering neurocognitive tests in healthcare settings presents numerous challenges. In Uganda there are few resources (e.g., trained clinical staff, and culturally relevant and normed tests) to routinely offer testing in healthcare settings. NeuroScreen is a brief, highly automated, tablet-based neurocognitive testing tool that can be administered by all levels of healthcare staff and has been translated into indigenous Ugandan languages. To examine the psychometric properties of NeuroScreen, we measured convergent and criterion validity of the NeuroScreen tests by comparing performance on them to performance on a traditional battery of neurocognitive tests widely used to assess neurocognition in people with psychotic disorders, the Matric Consensus Cognitive Battery (MCCB).Participants and Methods:Sixty-five patients admitted into Butabika Mental Referral Hospital in Uganda after experiencing a psychotic episode and forty-seven demographically similar control participants completed two neurocognitive test batteries: the MCCB and NeuroScreen. Both batteries include tests measuring the neurocognitive domains of executive functioning, working memory, verbal learning, and processing speed. Prior to completing each battery, patients were medically stabilized and could not exhibit any positive symptoms on the day of testing. On the day of testing, medication dosages were scheduled so that patients would not experience sedative effects while testing. To examine convergent validity, we examined correlations between overall performance on NeuroScreen and the MCCB, as well as tests that measured the same neurocognitive domains. To examine criterion validity, an ROC curve was computed to examine the sensitivity and specificity of NeuroScreen to detect NCI as defined by the MCCB.Results:There was a large correlation between overall performance on NeuroScreen and the MCCB battery of tests, r(110) = .65, p &lt; .001. Correlations of various strengths were found among tests measuring the same neurocognitive domains in each battery: executive functioning [r(110) = .56 p &lt;.001], processing speed [r(110) = .44, p &lt;.001)], working memory [r(110) = .29, p&lt;.01], and verbal learning [r(110) = .22, p &lt; .01]. ROC analysis of the ability of NeuroScreen to detect MCCB defined NCI showed an area under curve of .798 and optimal sensitivity and specificity of 83% and 60%, respectively.Conclusions:Overall test performance between the NeuroScreen and MCCB test batteries was similar in this sample of Ugandans with and without a psychotic disorder, with the strongest correlations in tests of executive functioning and processing speed. ROC analysis provided criterion validity evidence of NeuroScreen to detect MCCB defined NCI. These results provide support for use of NeuroScreen to assess neurocognitive functioning among patients with psychotic disorders in Uganda, however more work needs to be to determine how well it can be implemented in this setting. Future directions include assessing cultural acceptability of NeuroScreen and generating normative data from a larger population of Ugandan test-takers.