Total Span Research Articles

Eye-tracking training improves visuospatial working memory of children with attention-deficit/hyperactivity disorder and autism spectrum disorder.

Given the close connection between eye movement and frontal lobe functions and some evidence supporting the effect of eye-tracking training on enhancing cognitive performance mediated by the frontal lobe, this study aimed to explore if after-school eye-tracking training can improve the visuospatial working memory (VSWM) and cognitive flexibility performance in children with attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). This study is a non-randomized cluster trial. Forty children from eight primary schools were selected, half receiving eye-tracking training for 20 sessions over 9 months, while the other half served as a waitlist control. They were matched on demographic characteristics and baseline cognitive performance. Their VSWM and cognitive flexibility were assessed at the beginning and end of the study. Results showed that children who received eye-tracking training, but not those on a waitlist, exhibited significant improvements in the total score and working memory span of the VSWM tests, and the correct responses in cognitive flexibility tests. Specifically, VSWM performance at higher span levels (5 or above) yielded a greater improvement. The findings suggest that eye-tracking training can be a feasible and effective after-school program for improving working memory and cognitive flexibility performance in children with ADHD and ASD. This study was prospectively registered at ClinicalTrials.gov (https://clinicaltrials.gov/, trial number: NCT05428657).

The GAPS Programme at TNG

Context. Due to observational biases, a large fraction of known exoplanets are short-period objects. However, the search for planets began more than 20 yr ago, and so it is already possible – with the use of a suitable dataset – to begin exploring a wider range of the parameter space, such as that encompassing long-period planets. Aims. The aim of this paper is to investigate the presence of long-period giant companions in two systems where one or more planets are already known and for which a long-term trend in the radial velocities (RVs) was noted in previous works. Methods. Over the last 11 yr, we have collected 122 spectra of HD 75898 and 72 spectra of HD 11506 with the High Accuracy Radial velocity Planet Searcher for the Northern hemisphere (HARPS-N) in the framework of the Global Architecture of Planetary Systems (GAPS) project, from which we derived precise RV and activity indicator measurements. Additional RV data from the High-Resolution Echelle Spectrometer (HIRES) are also used here to increase the total time span. For our RV analysis, we used PyORBIT, an advanced Python tool for the simultaneous Bayesian analysis of RVs and stellar activity indicators. In addition, we used astrometric (Gaia DR3) and imaging archive data to complete our analysis. In particular, we combined RVs and astrometry to better constrain the mass and period of the new long-period companions. Results. We find evidence for one additional long-period companion (gas giant planet or brown dwarf) in both systems considered. The new candidate for HD 75898 has a period of roughly 18 yr and a true mass of around 8.5 Mj. For HD 11506, we confirm the new object (planet d) recently announced using HIRES data but we find that the period and true mass are both almost double the values based on HIRES results (Pd ~ 72 yr, Md ~ 13 Mj). In addition, for HD 75898, we also find evidence of an activity cycle affecting RVs with a period of one order of magnitude lower than found in the literature.

Research on Construction Risk Assessment of Long-Span Cantilever Casting Concrete Arch Bridges Based on Triangular Fuzzy Theory and Bayesian Networks

Considering the complex construction processes involved, there are significant risks during the construction of long-span cantilever casting arch bridges. In this study, a risk assessment method for the construction process of cantilever casting concrete arch bridges was developed. The compositional elements and characteristics of safety risks in the construction of cantilever casting concrete arch bridges were clarified, and a safety risk source list that includes seven major risk sources and thirty-three minor risk sources was formed. Then, a Bayesian model for the risk analysis of cantilever casting concrete arch bridge construction was established, and a method was proposed to determine the prior and posterior probabilities of the Bayesian network using triangular fuzzy numbers. This method fully utilizes the experience of experts while avoiding the subjectivity of expert opinions. A cantilever casting concrete open spandrel arch bridge (Bridge A) with a total span length of 287 m was taken as an example, and a safety risk assessment was conducted during its construction process. The calculation results show that the construction safety risk level of Bridge A was level III. This engineering application verified the feasibility of determining key node parameters of the Bayesian network using triangular fuzzy numbers.

Chromosome-level genome assembly and annotation of the black sea urchin Arbacia lixula (Linnaeus, 1758).

The black sea urchin (Arbacia lixula) is a keystone species inhabiting the coastal shallow waters of the Mediterranean Sea, which is a key driver of littoral communities' structure. Here, we present the first genome assembly and annotation of this species, standing as the first Arbacioida genome, including both nuclear and mitochondrial genomes. To obtain a chromosome-level assembly, we used a combination of PacBio high fidelity (HiFi) reads and chromatin capture reads (Omni-C). In addition, we generated a high-quality nuclear annotation of both coding and non-coding genes, by using published RNA-Seq data from several individuals of A. lixula and gene models from closely related species. The nuclear genome assembly has a total span of 607.91 Mb, being consistent with its experimentally estimated genome size. The assembly contains 22 chromosome-scale scaffolds (96.52% of the total length), which coincides with its known karyotype. A total of 72,767 transcripts were predicted from the nuclear genome, 24,171 coding, and 48,596 non-coding that included lncRNA, snoRNA, and tRNAs. The circularized mitochondrial genome had 15,740 bp comprising 13 protein-coding genes, 2 rRNA, and 22 tRNA. This reference genome will enhance ongoing A. lixula studies and benefit the wider sea urchin scientific community.

The GAPS Programme at TNG

Context. Planets in binary systems are a fascinating and yet poorly understood phenomenon. Since there are only a few known large-separation systems in which both components host planets, characterizing them is a key target for planetary science. Aims. In this paper, we aim to carry out an exhaustive analysis of the interesting XO-2 system, where one component (XO-2N) appears to be a system with only one planet, while the other (XO-2S) has at least three planets. Methods. Over the last 9 yr, we have collected 39 spectra of XO-2N and 106 spectra of XO-2S with the High Accuracy Radial velocity Planet Searcher for the Northern emisphere (HARPS-N) in the framework of the Global Architecture of Planetary Systems (GAPS) project, from which we derived precise radial velocity (RV) and activity indicator measurements. Additional spectroscopic data from the High Resolution Echelle Spectrometer (HIRES) and from the High Dispersion Spectrograph (HDS), and the older HARPS-N data presented in previous papers, have also been used to increase the total time span. We also used photometric data from TESS to search for potential transits that have not been detected yet. For our analysis, we mainly used PyORBIT, an advanced Python tool for the Bayesian analysis of RVs, activity indicators, and light curves. Results. We found evidence for an additional long-period planet around XO-2S and characterized the activity cycle likely responsible for the long-term RV trend noticed for XO-2N. The new candidate is an example of a Jovian analog with m sin i ~ 3.7 MJ, a ~ 5.5 au, and e = 0.09. We also analyzed the stability and detection limits to get some hints about the possible presence of additional planets. Our results show that the planetary system of XO-2S is at least one order of magnitude more massive than that of XO-2N. The implications of these findings for the interpretation of the previously known abundance difference between components are also discussed.

The GRAVITY young stellar object survey

Context. Temporal variability in the photometric and spectroscopic properties of protoplanetary disks is common in young stellar objects. However, evidence pointing toward changes in their morphology over short timescales has only been found for a few sources, mainly due to a lack of high-cadence observations at high angular resolution. Understanding this type of variation could be important for our understanding of phenomena related to disk evolution. Aims. We study the morphological variability of the innermost circumstellar environment of HD 98922, focusing on its dust and gas content. Methods. Multi-epoch observations of HD 98922 at milliarcsecond resolution with VLTI/GRAVITY in the K-band at low (R = 20) and high (R = 4000) spectral resolution are combined with VLTI/PIONIER archival data covering a total time span of 11 yr. We interpret the interferometric visibilities and spectral energy distribution with geometrical models and through radiative transfer techniques using the code MCMax. We investigated high-spectral-resolution quantities (visibilities and differential phases) to obtain information on the properties of the HI Brackett-γ (Brγ)-line-emitting region. Results. Comparing observations taken with similar (u,v) plane coverage, we find that the squared visibilities do not vary significantly, whereas we find strong variability in the closure phases, suggesting temporal variations in the asymmetric brightness distribution associated to the disk. Our observations are best fitted by a model of a crescent-like asymmetric dust feature located at ~1 au and accounting for ~70 % of the near-infrared (NIR) emission. The feature has an almost constant magnitude and orbits the central star with a possible sub-Keplerian period of ~12 months, although a 9 month period is another, albeit less probable, solution. The radiative transfer models show that the emission originates from a small amount of carbon-rich (25%) silicates, or quantum-heated particles located in a low-density region. Among different possible scenarios, we favor hydrodynamical instabilities in the inner disk that can create a large vortex. The high spectral resolution differential phases in the Brγ line show that the hot-gas compact component is offset from the star and in some cases is located between the star and the crescent feature. The scale of the emission does not favor magnetospheric accretion as a driving mechanism. The scenario of an asymmetric disk wind or a massive accreting substellar or planetary companion is discussed. Conclusions. With this unique observational data set for HD 98922, we reveal morphological variability in the innermost 2 au of its disk region. This property is possibly common to many other protoplanetary disks, but is not commonly observed due to a lack of high-cadence observation. It is therefore important to pursue this approach with other sources for which an extended dataset with PIONIER, GRAVITY, and possibly MATISSE is available.

Care workers’ practices in oral healthcare for the elderly : Mediating role of elderly oral healthcare education and behavioral needs

Objectives: This study aimed to assess the impact of care workers’ knowledge of elderly oral health, education on elderly oral healthcare and behavioral needs, awareness of elderly oral healthcare, and actual practices in elderly oral healthcare. Furthermore, it explores the mediating effects of elderly oral healthcare education and behavioral needs on the relationship between awareness and practice. Methods: Data were collected from October 11 to December 29, 2023, from 172 certified care workers employed in nursing hospitals and other workplaces. For analyzing the data, t-test, one-way ANOVA, Pearson’s correlation, and hierarchical regression were conducted using SPSS Statistics 21.0. Results: Elderly oral health knowledge, education and behavioral needs, awareness, and practice were significantly higher among: those aged 51 years and older, female, primarily working in nursing hospitals, with a total career span of 10 years, higher job satisfaction, in organizations prioritizing elderly oral healthcare, and with superior education in elderly oral health. Elderly oral healthcare education and behavioral needs had partial mediating effects on the relationship between care workers’ awareness and practice of elderly oral healthcare. Conclusions: The current practices and challenges in care workers’ oral healthcare for the elderly will be analyzed, and recommendations and strategies for improving practices will be formulated.

Variation in body size and weight status among Hindu and Muslim Indian males born in the 1890s through the 1950s

Hindus and Muslims represent the two largest religions in India, and also differ in nutritional status, health-related habits and standard of living associated with economic disparities. In this context, the present study considered estimated secular changes in body size, proportions, and weight status among Hindu and Muslim Indian men. The data are from anthropological surveys in the 1970s which included measurements of height, weight and sitting height of 43,950 males 18–84 years (birth years 1891–1957). Leg length was estimated; the BMI and sitting height/height ratio were calculated. Heights of men 35 + years were adjusted for estimated height loss with age. Weight status was also classified relative to WHO criteria for the BMI. Anthropometric characteristics of the two groups were compared with MANCOVA with age and geographic region as covariates. Linear regression of height on year of birth was also used to estimate secular change in each group. Heights, weights, and BMIs tended to be, on average, greater among Muslim than Hindu men at most ages, while distributions by weight status between groups were negligible. Sitting height was greater among Muslim men but estimated leg length did not differ between groups; the sitting height/height ratio thus suggested proportionally shorter legs among Muslim men. Results of the regression analyses indicated negligible differences in secular change between groups across the total span of birth years but indicated a decline in adjusted heights of men in both groups born between 1891 through 1930s and little secular change among those born in the 1930s through 1957. The variation in heights, weights and BMIs between Muslim and Hindu men at most ages suggested variation in socio-economic status and dietary habits between the groups, whereas the negligible estimated secular changes in height between groups likely reflected economic, social, and nutritional conditions during the interval of British rule and the transition to independence.

Lower serum ferritin levels are associated with worse cognitive performance in aging

ObjectivesIron is important for neurogenesis, synaptic development, and neurotransmitter synthesis. Serum ferritin (SF) is a reliable marker for assessing iron stores. Therefore, we evaluated the cognitive function associated with SF levels. We also assessed brain iron content using R2* Magnetic Resonance Imaging (MRI) and its association with SF levels. DesignData from three cross-sectional observational studies were used. Aging Imageomics (n = 1030) was conducted on aged subjects. Health Imageomics (n = 971) and IR0NMET (n = 175) were conducted in middle-aged subjects. Setting and participantsParticipants were enrolled at Dr. Josep Trueta University Hospital facilities. The three cohorts included a total of 2176 subjects (mean age, 52 years; 48% men). MeasurementsSF levels were measured by standard laboratory methods. Total Digits Span (TDS), and Phonemic Verbal Fluency (PVF) were used to assess executive function. Language function was assessed by semantic verbal fluency (SVF), attention by the Symbol Digit Modalities Test, and memory by the Memory Binding Tests - Total Free Recall and Total Delayed Free Recall. MRI was used to assess the iron content of the brain by R2*. ResultsIn subjects aged 65 years or older, SF levels were associated with increased TDS (β = 0.003, p = 0.02), PVF (β = 0.004, p = 0.01), and SVF (β = 0.004, p = 0.002) scores. After stratification by sex, these findings were significant only in men, where SF was associated with increased TDS (β = 0.003, p = 0.01), PVF (β = 0.004, p = 0.03), and SVF (β = 0.004, p = 0.009) scores. In middle-aged subjects, SF was also associated with increased SVF scores (β = 0.005, p = 0.011). Lastly, in men, SF levels were negatively associated with R2*, a surrogate marker of brain iron content, in both the left frontal inferior opercular area (r = −0.41, p = 0.005) and the right frontal inferior opercular area (r = −0.44, p = 0.002). ConclusionsSF is significantly and positively associated with cognition. In older people with low SF levels, iron supplementation may be a promising therapy to improve cognition.

Distributed Online Constrained Optimization With Feedback Delays.

We investigate multiagent distributed online constrained convex optimization problems with feedback delays, where agents make sequential decisions before being aware of the cost and constraint functions. The main purpose of the distributed online constrained convex optimization problem is to cooperatively minimize the sum of time-varying local cost functions subject to time-varying coupled inequality constraints. The feedback information of the distributed online optimization problem is revealed to agents with time delays, which is common in practice. Every node in the system can interact with neighbors through a time-varying sequence of directed communication topologies, which is uniformly strongly connected. The distributed online primal-dual bandit push-sum algorithm that generates primal and dual variables with delayed feedback is used for the presented problem. Expected regret and expected constraint violation are proposed for measuring the performance of the algorithm, and both of them are shown to be sublinear with respect to the total iteration span T in this article. In the end, the optimization problem for the power grid is simulated to justify the proposed theoretical results.

Distributed Online Stochastic-Constrained Convex Optimization With Bandit Feedback.

This article studies the distributed online stochastic convex optimization problem with the time-varying constraint over a multiagent system constructed by various agents. The sequences of cost functions and constraint functions, both of which have dynamic parameters following time-varying distributions, are unacquainted to the agent ahead of time. Agents in the network are able to interact with their neighbors through a sequence of strongly connected and time-varying graphs. We develop the adaptive distributed bandit primal-dual algorithm whose step size and regularization sequences are adaptive and have no prior knowledge about the total iteration span T . The adaptive distributed bandit primal-dual algorithm applies bandit feedback with a one-point or two-point gradient estimator to evaluate gradient values. It is illustrated in this article that if the drift of the benchmark sequence is sublinear, then the adaptive distributed bandit primal-dual algorithm exhibits sublinear expected dynamic regret and constraint violation using both two kinds of gradient estimator to compute gradient information. We present a numerical experiment to show the performance of the proposed method.

First-principles NMR of oxide glasses boosted by machine learning.

Solid-state NMR has established itself as a cutting-edge spectroscopy for elucidating the structure of oxide glasses thanks to several decades of methodological and instrumental progress. First-principles calculations of NMR properties combined with molecular-dynamics (MD) simulations provides a powerful complementary approach for the interpretation of NMR data, although they still suffer from limitations in terms of size, time and high consumption of computational resources. We address this challenge by developing a machine-learning framework to boost predictive modelling of NMR spectra. We use kernel ridge regression techniques (least-squares support vector regression and linear ridge regression) combined with smooth overlap of atomic position (SOAP) atom-centered descriptors to efficiently predict NMR interactions: the isotropic magnetic shielding and the electric field gradient (EFG) tensor. As illustrated in this work, this approach enables the simulation of magic-angle spinning (MAS) and multiple-quantum magic-angle spinning (MQMAS) NMR spectra of very large models (more than 10 000 atoms) and an efficient averaging of NMR properties over MD trajectories of nanoseconds for incorporating finite-temperature effects, at the computational cost of classical MD simulations. We illustrate these advances for sodium silicate glasses (SiO2-Na2O). NMR parameters (isotropic chemical shift and electric field gradient) could be predicted with an accuracy of 1 to 2% in terms of the total span of the NMR parameter values. To include vibrational effects, an approach is proposed of scaling the EFG tensor in NMR simulations with a factor obtained from the time auto-correlation functions computed on MD trajectories.

Biodiesel from Bark and Black Liquor—A Techno-Economic, Social, and Environmental Assessment

A techno-economic assessment and environmental and social sustainability assessments of novel Fischer–Tropsch (FT) biodiesel production from the wet and dry gasification of biomass-based residue streams (bark and black liquor from pulp production) for transport applications are presented. A typical French kraft pulp mill serves as the reference case and large-scale biofuel-production-process integration is explored. Relatively low greenhouse gas emission levels can be obtained for the FT biodiesel (total span: 16–83 g CO2eq/MJ in the assessed EU countries). Actual process configuration and low-carbon electricity are critical for overall performance. The site-specific social assessment indicates an overall positive social effect for local community, value chain actors, and society. Important social aspects include (i) job creation potential, (ii) economic development through job creation and new business opportunities, and (iii) health and safety for workers. For social risks, the country of implementation is important. Heat and electricity use are the key contributors to social impacts. The estimated production cost for biobased crude oil is about 13 €/GJ, and it is 14 €/GJ (0.47 €/L or 50 €/MWh) for the FT biodiesel. However, there are uncertainties, i.e., due to the low technology readiness level of the gasification technologies, especially wet gasification. However, the studied concept may provide substantial GHG reduction compared to fossil diesel at a relatively low cost.

The Performance of Bamboo Truss with Gapit Form Under Vertical Loads

The connection in bamboo construction is frequently the weakest point. This research discusses the performance of the gapit form on bamboo truss that effectively optimises the bamboo's inherent strength and can sustain vertical loads. Gapit is a connection form where a member is located between two members which also serves as a construction reinforcement. This truss optimizes the strength of whole bamboo with a total span of 4 meters and height of 2 meters. The gapit form applied at the top chord member, bracing member, and "V" support and column connections which are strengthen with bolts on the bamboo node. This research uses a quantitative method where data collection is taken through an experiment. To test the strength of the truss, a vertical hydraulic compression test was conducted. It was found that the truss can withstand a maximum load of up to 8.72 kN, with a truss decline of 7.27 cm, and a shift of 2 cm. As a result, the use of the gapit form on the truss is considered effective in withstanding large vertical loads.

Redesign of The Overpass Bridge Structure at Km 839+450 Toll Road Pasuruan-Probolinggo Using Parker Type Truss Bridge

The Overpass Bridge Km 839+450 Pasuruan - Probolinggo Toll Road which is located in Leces District, Probolinggo Regency, East Java has a total span length of 144 meters with a Girder I bridge type. This bridge has 5 spans with 4 pillars. The writer want to redesign the bridge into 2 spans to increase the free space under the bridge overpass. The Parker truss bridge type was chosen because it has the lightest self-weight compared to other types of steel truss bridges. This parker type steel truss bridge is planned with a length of 72 m, a width of 12 m, and a height of 13 m. The bridge is designed for 1 lane which has 2 main lanes and 1 emergency lane. From the analysis carried out, the thickness of the vehicle floor plate is 20 cm with concrete fc 30 MPa and reinforcement Fy 410 MPa. The steel structure uses BJ 41 steel quality with profile dimensions on longitudinal girders WF 300.300.10.15, transverse girder profile dimensions using WF 700.300.13.24, main frame girder dimensions using WF 552.500.50.50 & WF 552.475.25.30, transverse wind ties using WF 294.200.8.12, as well as cross wind ties using the L 250.250.35. For the connection, high-strength bolts of type A325 with Fy 820 MPa are used with a diameter of 24 mm and a connection plate which is L 100.100.10, L 120.120.12, and a 25 mm thick plate. on the main frame connection. The placement of the bridge uses the placement of Typer Elastomeric Bearings coated with steel plates with dimensions of 600x600x150 mm. Steel truss bridge parker type has the advantage that the upperstructure's own weight is lighter than the existing bridge, the difference in weight reaches 33,07 %.

Gut microbiota links to serum ferritin and cognition

ABSTRACT Iron is required for the replication and growth of almost all bacterial species and in the production of myelin and neurotransmitters. Increasing clinical studies evidence that the gut microbiota plays a critical role in iron metabolism and cognition. However, the understanding of the complex iron-microbiome-cognition crosstalk remains elusive. In a recent study in the Aging Imageomics cohort (n = 1,030), we identified a positive association of serum ferritin (SF) with executive function (EF) as inferred from the semantic verbal fluency (SVF,) the total digit span (TDS) and the phonemic verbal fluency tests (PVF). Here, we explored the potential mechanisms by analyzing the gut microbiome and plasma metabolome using shotgun metagenomics and HPLC-ESI-MS/MS, respectively. Different bacterial species belonging to the Proteobacteria phylum (Klebsiella pneumoniae, Klebsiella michiganensis, Unclassified Escherichia) were negatively associated both with SF and executive function. At the functional level, an enrichment of microbial pathways involved in phenylalanine, arginine, and proline metabolism was identified. Consistently, phenylacetylglutamine, a metabolite derived from microbial catabolism of phenylalanine, was negatively associated with SF, EF, and semantic memory. Other metabolites such as ureidobutyric acid and 19,20-DiHDPA, a DHA-derived oxylipin, were also consistently and negatively associated with SF, EF, and semantic memory, while plasma eicosapentaenoic acid was positively associated. The associations of SF with cognition could be mediated by the gut microbiome through microbial-derived metabolites.

Clinical Characterization of Hepatic Light Chain Amyloidosis in the Chinese Population: A Single-Center Retrospective Analysis

CONCLUSION Hepatic light chain amyloidosis is caused by malignant plasma cells that abnormally secrete immunoglobulin light chains, which undergo a conformational change to a β-pleated sheet configuration and are deposited in the liver. The amyloid fibrils are deposited mainly in the hepatic sinusoids, the space of Disse and the walls of blood vessels. Previous autopsy studies have shown that the proportion of systemic light chain amyloidosis with liver involvement is extremely high; however, there are fewer systematic analyses of the clinical features in the Chinese population. Therefore, this study retrospectively analysed the clinical data of patients with hepatic lightchain amyloidosis in our center to further explore the clinical characteristics of this disease. A total of 40 patients with hepatic light chain amyloidosis were included in the analysis from 2007 to 2022. Inclusion criteria were positive liver tissue biopsy or positive biopsy of other organs with alkaline phosphatase (AKP) greater than 1.5 times the upper limit of normal or total liver span >15 cm in the absence of heart failure. The median age of these patients was 58±10 years and 80% were male. Of these 40 patients, 66% had light-chain amyloidosis secondary to myeloma and the remainder had primary amyloidosis. The proportion of patients with symptoms related to liver injury as the initial clinical presentation was 33%. Symptoms included malaise, abdominal distention, or jaundice. 40% of patients with symptoms related to abnormal heart function, such as chest tightness, severe shortness of breath, and dizziness. 25% of the patients were first seen for symptoms related to impaired renal function, such as proteinuria with lower limb edema or hypourocrinia. κ-type was found in 28% of the patients and λ-type in 73%. All patients had other sites of involvement, 95% with cardiac involvement (72.9%, Mayo 2004 stage III) and 48% with renal involvement. AKP was elevated in 100% of patients, r-GT in 95%, liver enzymes in 33%, total bilirubin in 44%, and the maximum anteroposterior diameter of the right lobe of the liver was 16.6±1.7 cm (upper limit of normal was 10 cm). In this cohort of patients, 80% received a 2- to 3-drug combination regimen based on proteasome inhibitors and 5% received a 2-drug combination regimen based on melphalan, with a median survival time of 6.5±31.3 months, and patients with a normal total bilirubin level had an overall survival time 2.4 times longer than those with an elevated level (p< 0.05,Figure 1). Contrary to previous reports of hepatic light chain amyloidosis, λ light chain amyloidosis was predominant in our center; elevated total bilirubin was an independent risk factor for survival.

33 Depressive Symptoms Drive the Underutilization of Cognitive Reappraisal in Veterans with PTSD

Objective:Adaptive emotional regulation strategies, such as cognitive reappraisal, are related to better neuropsychological functioning in the general population. Individuals with PTSD demonstrate difficulty with both emotional regulation and cognitive performance that contribute to clinical presentation (e.g., negative mood, irritability). However the extent to which neuropsychological functioning is associated with emotion regulation, alone and in concert with common comorbid symptoms like depression, remains understudied in this population. Better understanding how specific neuropsychological functions relate to cognitive reappraisal could point to novel treatment targets given preliminary evidence that certain cognitive training techniques can improves neuropsychological and affective outcomes. The present study aims to investigate the relationship between clinical symptoms of PTSD and depression, working memory capacity, and cognitive reappraisal in Veterans with PTSD. We hypothesized that clinical symptoms and working memory capacity would interact to predict cognitive reappraisal, such that elevated depression would relate to worse cognitive reappraisal, particularly for individuals with poor working memory capacity.Participants and Methods:Measures of working memory (symmetry span task), mental health symptomatology (Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) and Beck Depression Inventory-II (BDI-II), and emotional regulation (Emotion Regulation Questionnaire (ERQ)) were collected in 38 Veterans. A regression analysis was conducted with total CAPS score, total BDI score, total symmetry span score, and the interaction between BDI score and symmetry span score as the independent variables and total ERQ cognitive reappraisal score as the dependent variable.Results:When examining each predictor independently, cognitive reappraisal was not associated with working memory (t=1.42, p=.165), but was significantly associated with PTSD (t=-3.17, p<.003) and depressive (t=-4.15, p<.001) symptom severity. The multiple regression model (F(4, 35)=4.45, p<.005, R2=.26) did not support the hypothesized relationship between working memory and depressive symptoms (t=0.56, p=.579). Depression independently predicted utilization of cognitive reappraisal in veterans with PTSD (t=2.43, p=.020) but PTSD symptom severity and working memory scores did not. However, additional investigation revealed that independently, greater PTSD symptom severity did predict less utilization of cognitive reappraisal (t=-3.17, p<.005).Conclusions:While depressive symptoms did not moderate the relationship between working memory and cognitive reappraisal, depressive symptoms did best predict utilization of cognitive reappraisal in a population with PTSD. Contrary to the hypothesized outcome, neither working memory nor PTSD symptoms were significant predictors of cognitive reappraisal when controlling for depressive symptoms. This suggests that the phenomenon of lower cognitive reappraisal rates in individuals with PTSD may be due to the presence of depressive symptoms rather than traumatic stress symptoms or neuropsychological ability. Due to the sample size and homogeneous diagnosis of the current study it is possible that the predicted relationship between working memory, PTSD severity, and cognitive reappraisal was not observed due to low power or a restricted range. Further investigation specifically in clinical populations on factors that predict utilization of cognitive reappraisal could expand on these findings in populations experiencing other stress-based disorders.

73 Do depression, anxiety, or stress moderate the relationship between simple attention, working memory and verbal learning?

Objective:Working memory is a vital construct in efficient verbal memory encoding (Cotton & Ricker, 2021). Working memory is impacted by attentional capacities (Riccio, Cohen, Garrison, & Smith, 2005). Mood symptoms impact efficient information processing and consolidation of memory (Hubbard, 2016; Lukasik, 2019). This study examines self-reported symptoms of depression, anxiety, and stress as possible moderators of the relationship between working memory and a verbal list-learning task.Participants and Methods:Archival data from 415 adults (Mage= 56.10, SD=18.05; Medu= 15.5 SD=2.2; 53% female; 73% white) were collected at an outpatient clinic. Sex and race were not available in a small percentage of cases included in analyses. The Wechsler Adult Intelligence Scale 4th Edition Digit Span subtest was given to assess attention and working memory. Although Digit Span Forward is a measure of simple attention, not working memory, it was included in initial analyses because the subtest was given as a whole. The three components of Digit Span total, Forward, Backward, and Sequencing were also investigated separately, with the two latter scores being better representations of working memory. Learning was assessed via the California Verbal Learning Test (CVLT-II) total T-Score (Trials 1-5). Mood was assessed via the Depression Anxiety and Stress Scales (DASS-42).Results:Results of a hierarchical linear regression showed a significant effect between total Digit Span performance and total learning on the CVLT-II in the Block 1 (F(3, 411)=14.383, p =<.001 , AR2=.095). Standardized beta weights and p-values for Digit Span Forward, Backward, and Sequencing were (ß=-.50, p=.374), (ß= .159, p=.009), and (ß=.210, p<.001) respectively. In Block 2, when the DASS variables were introduced, the model remained significant F(3,408)=2.602, p=.05 , AR2=.017). The DASS anxiety and stress subscales had significant beta weights in the model (ß=-.172, p=.015) and (ß=.144, p=.039) respectively, with depression being insignificant (ß=--.023, p=.724).Conclusions:Mood symptoms have been shown to be an important consideration when assessing working memory and verbal learning performance (Massey, Meares, Batchelor, & Bryant, 2015). Present results demonstrate that when accounting for working memory, anxiety and stress were significant predictors of performance on a measure of verbal learning. Additionally, as the components best representing working memory, Digit Span Sequencing and Backward were significantly correlated with verbal learning, whereas a measure best representing simple attention, Digit Span Forward, was not significantly correlated with verbal learning.

White noise effect on listening effort among patients with chronic tinnitus and normal hearing thresholds

ObjectiveThis study investigated the effects of WN on LE in subjects with chronic tinnitus and normal hearing thresholds. The study was a prospective, non-randomized, before-and-after, intra-participant intervention. MethodsTwenty-five subjects performed the following tests: conventional and high-frequency audiometry, acuphenometry, screening questionnaires for depression and anxiety symptoms, Tinnitus Handicap Inventory (THI), Montreal Cognitive Assessment, and high WM test from the Working Memory Assessment Battery, Federal University of Minas Gerais (WMAB) as the LE measure in two conditions: No Added Noise (NAN) and with Added Noise (AN). ResultsSeventeen participants (68%) performed better on AN condition. Data analysis revealed a 45% improvement in the WMAB total span count on AN setting, with a significant p value (p=0.001). ConclusionThe subgroup of participants without traces of anxiety symptoms, up to mild traces of depressive symptoms, having unilateral tinnitus, and a THI level up to grade 2, had improved WM performance in the presence of WN, which suggests a release of cognitive resources and less auditory effort under these combined conditions. Evidence level4.