Baseline Performance Research Articles

Beneficial effects of imagination of successful action after an actual error on baseline performances in non-expert young tennis players.

The aim of this study was to evaluate the effects of motor imagery (MI: imagining the success or failure of a forehand or backhand shot) training according to an internal visual modality centred on the movement and the target to be reached on tennis performance. 66 young (Mage = 12.1 years) players were randomly divided into three groups: control, failure MI or success MI, and performed 3 experimental phases. The pre-test consisted of performing 6 blocks of 5 forehand and backhand groundstrokes (sent randomly by a ball launcher towards the baseline) and a super tie-break. The acquisition phase consisted of 12 sessions, each including a standardized warm-up followed by 15min of background rally in pairs. The participants of the MI group were instructed, after unprovoked errors on their part, to imagine performing the previous shot correctly (positive MI) or missing (failure MI). The post-test was identical to the pre-test. The efficiency score of shots and the number of errors committed at the pre- and post-test served as dependent variables. The results of this study indicate that participants in the success MI group performed better than the control and failure MI groups at post-test. The success MI, performed after errors, has positive effects on the quality of the shot and reduces the number of unforced errors of tennis players, while failure MI induces negative outcomes. The use of success MI, integrated in training session, is recommended.

The effect of questioning gender stereotype threat on girl's standing long jump performance.

Over the past few years, the sport psychology literature has established that gender stereotype threat (ST) is one of the factors that can impair girls' performance. However, few studies have attempted to annihilate these negative effects. The purpose of the current study was to investigate whether questioning gender ST can mitigate the classical decline in girls' standing long jump (SLJ) performance. The participants were 120 girls (Mage = 10.74 ± 0.85 years), selected through convenience sampling and randomly assigned to three groups: the gender ST group (n = 40), the questioning group (n = 40), and the control group (n = 40). For all groups, baseline performance (i.e., SLJ) was measured by a female researcher following a warm-up period. In the experimental phase, the control group repeated the baseline conditions; the gender ST group completed the same test but was evaluated by a male examiner (i.e., implicit stereotype induction), while participants in the questioning group were assessed after receiving questioning statements while performing the task in front of a male examiner. The results of the present study showed that the induction of a gender ST leads to a decrease in SLJ in girls. Additionally, if these inducing conditions of gender ST are accompanied by a questioning condition, the negative effects of gender ST can be reduced, and SLJ in girls does not decline. Based on our findings, this intervention is recommended as a simple, inexpensive, and quick solution for mitigating the negative effects of gender ST on girl's motor performance.

Gastric ultrasound performance time and difficulty: a prospective observational study.

Point-of-care gastric ultrasound is an emerging tool in peri-operative practice. However, data on the technical challenges of gastric ultrasound, which are essential for optimised training, remain scarce. We analysed gastric ultrasound examinations performed after basic training to identify factors associated with difficulty. This was an analysis of data from a prospective observational study evaluating the potential impact of routine pre-operative gastric ultrasound on peri-operative management in adult patients undergoing elective or emergency surgery at a single centre. Before initiation, physicians received extensive structured training with at least 30 supervised gastric sonograms before independent practice. We then used regression models to identify factors associated with deviation from a predefined sonography algorithm, performance time and scan difficulty. Seventy-three trained physicians performed 2003 ultrasound scans. Median (IQR [range]) performance time was 5 (4-6 [1-20]) min, which was achieved after 20-27 scans following structured training. Patient characteristics associated with more difficult and longer duration scans were: increase in BMI per 5 kg.m-2 (odds ratio (95%CI) 1.57 (1.35-1.83), p < 0.001 for difficulty and percentage change coefficient (95%CI) 1.03 (1.02-1.05), p < 0.001 for duration); and male sex (odds ratio (95%CI) 3.31 (2.28-4.88), p < 0.001 for difficulty and percentage change coefficient (95%CI) 1.08 (1.04-1.12), p < 0.001, for duration). Trauma surgery (odds ratio (95%CI) 3.26 (1.88-5.68), p < 0.001), ASA physical status of 3 or 4 (odds ratio (95%CI) 1.86 (1.21-2.88), p = 0.0049) and emergency surgery (odds ratio (95%CI) 1.86 (1.20-2.89), p = 0.006) were associated with deviation from the predefined sonography algorithm. Approximately 50 scans are required to achieve a baseline performance of 5 min per gastric ultrasound. Future training programmes should focus on patients with obesity, male sex, higher ASA physical status and trauma.

CTNI-54. RESPONSE BY RANO2.0 CRITERIA IN ONC201 (DORDAVIPRONE)-TREATED PATIENTS WITH RECURRENT H3 K27M-MUTANT DIFFUSE MIDLINE GLIOMA

Abstract PURPOSE Response assessment in neuro-oncology (RANO) 2.0 is a recently established response assessment for glial tumors that is agnostic to WHO grade. This updated response assessment includes quantitative evaluation of enhancing and non-enhancing disease and recommendations to account for pseudoprogression. This analysis evaluated response to ONC201 by RANO2.0 in recurrent, H3K27M-mutant diffuse midline glioma (DMG), which was previously assessed by RANO-HGG/RANO-LGG (Arrillaga-Romany, JCO, 2024). METHODS Fifty patients with recurrent H3 K27M-mutant DMG were selected based on criteria designed with input from regulators to evaluate objective response to ONC201 monotherapy. Patients had contrast-enhancing, measurable, progressive disease, and were ≥90 days from radiation, with adequate washout from other anti-cancer therapies. Diffuse intrinsic pontine glioma, primary spinal tumors, leptomeningeal spread, or CSF-disseminating tumors were ineligible. Response was assessed using RANO2.0 criteria by two-party blinded independent central review. RESULTS Best response by RANO2.0 included one complete response (CR, 2.0%), nine partial responses (PR, 18.0%), and four minor responses (MR, 8.0%). Overall response rate (CR+PR+MR) by RANO2.0 criteria was 28.0% (n=14; 95%CI, 16-42). Disease control rate (CR+PR+MR+SD) was 40.0% (n=20; 26-55). Median duration of response was 10.4 months (95%CI, 7.4-15.4). Median time to response was 4.6 months (range, 1.6-15.9). 6- and 12-month progression free survival rates were 32.0% (95%CI, 19-47) and 27.0% (15-41), respectively. RANO2.0 response as a time-varying covariate was significantly associated with overall survival in a multivariate analysis considering baseline performance score, multiple enhancing target lesions, enhancing tumor size, and number of prior recurrences (HR [95%CI], 0.22 [0.08–0.58]; p=0.0023). Patients with an objective response by RANO2.0 were more likely to be alive at 12 (100%) and 24 (86%) months, have reduced corticosteroid usage, and have improved performance status. Responses occurred at a higher rate among patients with a higher performance score and fewer target lesions. CONCLUSIONS RANO2.0 assessment of ONC201-treated patients suggests durable and clinically meaningful efficacy in recurrent H3K27M-mutant DMG.

RADT-07. HYPOFRACTIONATED RADIOTHERAPY IN BRAINSTEM GLIOMAS- EXPERIENCE FROM A TERTIARY CARE CENTRE IN INDIA

Abstract Brainstem Gliomas have limited therapeutic options and poor outcomes. Radiation forms the cornerstone of management but data is lacking. We performed an audit of brainstem glioma patients treated with hypofractionated radiation between July 2021 to May 2024. Diagnostic MRI was co-registered with planning CT to delineate GTV with an isotropic 5 mm margin for CTV and 3mm for PTV. Baseline clinical and imaging details, radiation details, acute toxicities, steroid usage, progression, and overall survival data were recorded. PFS and OS were defined from the date of diagnosis to progression and death respectively. This study included 31 Brainstem glioma patients. The median age at presentation was 14 years (2–80 years). Majority of patients were male (67.7%). The baseline performance status assessed by ECOG/Lansky was 0-2 in 83.9%. The most common presenting complaint was motor weakness in 51.6% followed by cerebellar symptoms in 29%. Baseline neurological deficit was seen in 90.3%. The most common epicenter of the disease was pons (67.7%). Biopsy was available in only 9.7% (2 patients: Diffuse Midline Glioma H3k27 altered,1: High-Grade Glioma). VP shunting was done in 29%. All patients were planned via VMAT technique. Median GTV volume 34.3cc (4.9-109.5cc). Median PTV volume was 95.1 cc (7.9-363.1 cc). Most frequently used regimen was 40Gy/15#/3 weeks in 74.3% of patients. Median PTV coverage D95% was 98.7% (90.5-99%). Only one patient received concurrent Temozolamide. Median Radiation treatment time was 22.5 days (-46 days). Steroid usage during radiation was seen in 41.9% of the patients. Naso-gastric tube was required in 12.9% patients. During radiation, aspiration and raised ICT were seen in in 12.9% each. At a median follow-up of 6.42 months, the median PFS was 6.42 months (3-9.83 months) and OS was 7.18 months (3-11.37 months). Hypofractionation seems a feasible approach in brainstem gliomas. International collaborative efforts are required.

Modeling Infrared Spectroscopy of Nucleic Acids: Integrating Vibrational Non-Condon Effects with Machine Learning Schemes.

Vibrational non-Condon effects, which describe how molecular vibrational transitions are influenced by a system's rotational and translational degrees of freedom, are often overlooked in spectroscopy studies of biological macromolecules. In this work, we explore these effects in the modeling of infrared (IR) spectra for nucleic acids in the 1600-1800 cm-1 region. Through electronic structure calculations, we reveal that the transition dipole moments of the C═O and C═C stretching modes in nucleobases are highly sensitive to solvation, hydrogen bonding, and base stacking conditions. To incorporate vibrational non-Condon effects into spectroscopy modeling, we use local electric fields on chromophore atoms as collective coordinates and leverage experimental IR spectra of oligonucleotides to develop deep neural network-based transition dipole strength (TDS) maps for the C═O and C═C chromophores. By integrating molecular dynamics simulations with a mixed quantum/classical treatment of the line shape theory, we apply the TDS maps to calculate the IR spectra of nucleoside 5'-monophosphates, DNA double helices and yeast phenylalanine tRNA. The resulting theoretical spectra show quantitative agreement with experimental measurements. While the predictions for nucleoside 5'-monophosphates are comparable to baseline performance, the TDS maps yield significantly improved IR peak intensities across all oligonucleotides. This theoretical framework effectively bridges atomistic simulations and IR spectroscopy experiments, offering molecular insights into how vibrational non-Condon effects impact the observed spectral features.

Diverse paths, stable differences – role of prior knowledge in learning biology over undergraduate years

ABSTRACT Undergraduate students enrol at university with diverse levels of prior knowledge and intuitive conceptions about essential biological topics. This longitudinal study explored the development of a conceptual understanding about three topics and how domain-specific prior knowledge affects this development. Undergraduate students (N = 50) of biological and environmental sciences participated in three measurement points – baseline (2019), follow-up 1 (2020), and follow-up 2 (2021) – where the same questionnaire with open-ended tasks was given. A mixed-methods approach was used for quantitative scoring of the answers and qualitative thematic analysis to describe the development of individual students’ conceptual understanding. The effect of prior knowledge was studied by dividing the students into two groups based on the baseline performance. The topic of evolution showed the most significant differences in prior knowledge and in knowledge gains. Students with lower prior knowledge experienced desirable shifts in their explanatory models about evolutionary processes, but an equal amount exhibited fragmented learning trajectories. Students with a more robust prior understanding of such an emergent phenomenon can more likely integrate scientific concepts in their knowledge framework. Implications for teaching in higher education are discussed.

Predictive Utility of Four Instrumental Activities of Daily Living Assessments and Cognitive Status Changes Among Cognitively In-Tact Older Adults.

To examine the factor structure and predictive utility of four instrumental activities of daily living (IADL) measures to identify cognitive status changes among older adults enrolled in the ACTIVE Trial. Extracted factors represented IADL instruments. Baseline performance on the Everyday Problems Test (EPT) predicted 5-year MMSE scores (est. = .08, p < .001), adjusting for demographic and health covariates, baseline MMSE, self-reported IADL function, and the performance-based Observed Tasks of Daily Living and Timed Instrumental Activities of Daily Living assessments. For each 1-point increase in baseline EPT financial performance, the odds of cognitive impairment decreased by 26%. IADL functional domains were not interchangeable across instruments. The EPT demonstrated better predictive utility compared to other instruments for detecting subsequent cognitive decline/impairment. This is a useful step in developing effective tools to detect early functional deficits indicating subsequent clinical impairment. Advanced Cognitive Training for Independent and Vital Elderly Trial (ACTIVE), NCT00298558, https://clinicaltrials.gov/study/NCT00298558.

The effect of fampridine on working memory: a randomized controlled trial based on a genome-guided repurposing approach.

Working memory (WM), a key component of cognitive functions, is often impaired in psychiatric disorders such as schizophrenia. Through a genome-guided drug repurposing approach, we identified fampridine, a potassium channel blocker used to improve walking in multiple sclerosis, as a candidate for modulating WM. In a subsequent double-blind, randomized, placebo-controlled, crossover trial in 43 healthy young adults (ClinicalTrials.gov, NCT04652557), we assessed fampridine's impact on WM (3-back d-prime, primary outcome) after 3.5 days of repeated administration (10 mg twice daily). Independently of baseline cognitive performance, no significant main effect was observed (Wilcoxon P = 0.87, r = 0.026). However, lower baseline performance was associated with higher working memory performance after repeated intake of fampridine compared to placebo (rs = -0.37, P = 0.014, n = 43). Additionally, repeated intake of fampridine lowered resting motor threshold (F(1,37) = 5.31, P = 0.027, R2β = 0.01), the non-behavioral secondary outcome, indicating increased cortical excitability linked to cognitive function. Fampridine's capacity to enhance WM in low-performing individuals and to increase brain excitability points to its potential value for treating WM deficits.

Acute kidney injury in hematological patients treated with CAR-T cells: risk factors, clinical presentation and impact on outcomes.

Chimeric antigen receptor T-cell (CAR-T) therapy has revolutionized the treatment of hematologic malignancies, yet it carries significant risks, including acute kidney injury (AKI). In this study, we investigated the risk factors and clinical impact of AKI in patients undergoing CAR-T cell therapy. This retrospective study involved hematologic patients treated with CAR-T therapy. Clinical and laboratory data were collected, and clinical outcomes were monitored during follow-up after CAR-T infusion. AKI was defined according to KDIGO criteria. The outcome measures included early mortality, overall survival (OS), and disease-free survival (DFS). Among the 48 patients analyzed, 14 (29%) developed AKI, with a mean onset of 6 days after CAR-T infusion. The risk of AKI was associated with baseline performance status (OR 8.65, IC95% 6.2-12, p = 0.032) and the development of severe cytokine release syndrome post-therapy (OR 16.4 95%CI 1.9-138.5, p = 0.01). Patients with AKI more frequently required intensive care. Furthermore, severe AKI was independently associated with worse clinical outcomes, including reduced OS and DFS (HR 18.2, 95%CI 2.6-27.3, p = 0.003). Additionally, patients who developed AKI post-CAR-T therapy were more likely to progress to chronic kidney disease during follow-up. In conclusion, frail patients undergoing CAR-T therapy are at an increased risk of developing AKI, which can significantly affect both short- and long-term outcomes. Preventive strategies and early recognition of AKI are essential in these patients.

Cross-Modal Cues Improve the Detection of Synchronized Targets during Human Foraging

Abstract In two experiments, we explored whether cross-modal cues can be used to improve foraging for multiple targets in a novel human foraging paradigm. Foraging arrays consisted of a 6 × 6 grid containing outline circles with a small dot on the circumference. Each dot rotated from a random starting location in steps of 30°, either clockwise or counterclockwise, around the circumference. Targets were defined by a synchronized rate of rotation, which varied from trial-to-trial, and there were two distractor sets, one that rotated faster and one that rotated slower than the target rate. In Experiment 1, we compared baseline performance to a condition in which a nonspatial auditory cue was used to indicate the rate of target rotation. While overall foraging speed remained slow in both conditions, suggesting serial scanning of the display, the auditory cue reduced target detection times by a factor of two. In Experiment 2, we replicated the auditory cue advantage, and also showed that a vibrotactile pulse, delivered to the wrist, could be almost as effective. Interestingly, a visual-cue to rotation rate, in which the frame of the display changed polarity in step with target rotation, did not lead to the same foraging advantage. Our results clearly demonstrate that cross-modal cues to synchrony can be used to improve multitarget foraging, provided that synchrony itself is a defining feature of target identity.

A benchmark for domain adaptation and generalization in smartphone-based human activity recognition

Human activity recognition (HAR) using smartphone inertial sensors, like accelerometers and gyroscopes, enhances smartphones’ adaptability and user experience. Data distribution from these sensors is affected by several factors including sensor hardware, software, device placement, user demographics, terrain, and more. Most datasets focus on providing variability in user and (sometimes) device placement, limiting domain adaptation and generalization studies. Consequently, models trained on one dataset often perform poorly on others. Despite many publicly available HAR datasets, cross-dataset generalization remains challenging due to data format incompatibilities, such as differences in measurement units, sampling rates, and label encoding. Hence, we introduce the DAGHAR benchmark, a curated collection of datasets for domain adaptation and generalization studies in smartphone-based HAR. We standardized six datasets in terms of accelerometer units, sampling rate, gravity component, activity labels, user partitioning, and time window size, removing trivial biases while preserving intrinsic differences. This enables controlled evaluation of model generalization capabilities. Additionally, we provide baseline performance metrics from state-of-the-art machine learning models, crucial for comprehensive evaluations of generalization in HAR tasks.

Efficacy and safety of first-line high-dose cytarabine in patients with primary CNS lymphoma ineligible for high-dose methotrexate: a case series

Abstract Introduction Despite recent significant advances, the treatment of elderly patients with primary central nervous system lymphoma (PCNSL) is still challenging due to comorbidities, poor baseline performance status (PS), and drug toxicities. There are proposals to use high-dose cytarabine (HD-araC) in these patients. Results Our retrospective study aimed to assess the efficacy and toxicity of HD-araC as an upfront treatment for patients with PCNSL who are ineligible for high-dose methotrexate (HD-MTX). Methods We identified 12 consecutive patients with newly diagnosed PCNSL (out of a total of 68) who received first-line treatment with HD-araC, with or without rituximab (R). Most of them had poor PS and relevant comorbidities. Six patients received this treatment upfront, while the other six received it after discontinuing HD-MTX-(based) therapy. Treatment with HD-araC resulted in poor outcome, limited response, and severe hematological and infectious complications. Patients who had previously received at least one cycle of HD-MTX appeared to have slightly better outcomes, highlighting the importance of HD-MTX in the treatment of PCNSL. Conclusion Our case series showed limited efficacy and substantial toxicity of (R)-HD-araC in patients with PCNSL ineligible for HD-MTX. This treatment should be omitted in elderly/frail patients to avoid further compromising their quality of life.

Sleep Disruption Impairs Sustained Attention in Food-Restricted Rats Using a Food-Reinforced Rodent Psychomotor Vigilance Test.

Sleep disruption (SD) impairs sustained attention, and impairment is quantified with the psychomotor vigilance test (PVT) in humans. In rats, food restriction attenuates SD's effects on sustained attention, limiting translation of rodent vigilance tests. The goal of the current study was to determine if a rodent PVT (rPVT) requiring high baseline performance using food restriction and reinforcement is sensitive to the effects of SD. Male Long-Evans rats (n=4) were trained on the rPVT using food reinforcement. Once baseline acquisition criteria were achieved, rats experienced acute SD using an automated sweep bar that moved across the home cage. Rats were tested in the rPVT the day following SD to assess performance-impairing effects. SD significantly increased lapses, and this effect was specific to shorter response-stimulus intervals. Decreased percent correct responses and increased slow reaction times were also found. These data suggest that many of the performance-impairing effects of SD are not attenuated by food restriction in this procedure. The rPVT is sensitive to the performance impairing effects of SD in food restricted rats, a common methodology used to train and maintain performance on operant behavioral tests. Thus, food restriction does not appear to attenuate the effects of SD in all attention-related behavioral procedures.

Do gender stereotype threats have a spillover effect on motor tasks among children? A mixed-model design investigation

ObjectivesThe stereotype threat effect has captivated social and sports psychology researchers for over two decades. However, many questions remain unanswered. This research was designed to explore the spillover effects of stereotype threat in motor tasks. DesignA mixed model design with within-between-subjects was utilized, with soccer performance and throwing scores serving as the dependent variables. MethodForty-two 10-year-old girls without mental or physical disabilities participated in the study and were randomly assigned into two groups: stereotype threat (ST) and nullified stereotype threat (NST). After measuring baseline performance in throwing and soccer tasks, the participants in the ST group received soccer-based stereotype induction. Afterwards, they performed 20 trials of soccer shooting. Half an hour later, the children were asked to perform 10 throws with the non-dominant hand. ResultsOur results indicated that inducing soccer-based stereotypes towards girls led to underperformance in soccer, however, this negative effect did not spill over onto subsequent task (i.e., throwing) which was unrelated to the induced stereotype. ConclusionsOur finding regarding the stereotype threat spillover effect is novel and provides more insight into the range of effects of stereotype threat within the motor domain. The findings encourage the researcher to practice caution regarding the generalizability of the stereotype threat spillover effect, especially in motor tasks.

A Virtual Breakthrough Series Collaborative for Missed Test Results

Missed test results, defined as test results not followed up within an appropriate time frame, are common and lead to delays in diagnosis and treatment. To evaluate the effect of a quality improvement collaborative, the Virtual Breakthrough Series (VBTS), on the follow-up rate of 2 types of test results prone to being missed: chest imaging suspicious for lung cancer and laboratory findings suggestive of colorectal cancer. This stepped-wedge cluster-randomized clinical trial was conducted between February 2020 and March 2022 at 12 Department of Veterans Affairs (VA) medical centers, with a predefined 3-cohort roll-out. Each cohort was exposed to 3 phases: preintervention, action, and continuous improvement. Follow-up ranged from 0 to 12 months, depending on cohort. Teams at each site were led by a project leader and included diverse interdisciplinary representation, with a mix of clinical and technical experts, senior leaders, nursing champions, and other interdisciplinary team members. Analysis was conducted per protocol, and data were analyzed from April 2022 to March 2024. All teams participated in a VBTS, which included instruction on reducing rates of missed test results at their site. The primary outcome was changes in the percentage of abnormal test result follow-up, comparing the preintervention phase with the action phase. Secondary outcomes were effects across cohorts and the intervention's effect on sites with the highest and lowest preintervention follow-up rates. Previously validated electronic algorithms measured abnormal imaging and laboratory test result follow-up rates. A total of 11 teams completed the VBTS and implemented 47 (mean, 4 per team; range, 3-8 per team; mode, 3 per team) unique interventions to improve missed test results. A total of 40 027 colorectal cancer-related tests were performed, with 5130 abnormal results, of which 1286 results were flagged by the electronic trigger (e-trigger) algorithm as being missed. For lung cancer-related studies, 376 765 tests were performed, with 7314 abnormal results and 2436 flagged by the e-trigger as being missed. There was no significant difference in the percentage of abnormal test results followed up by study phase, consistent across all 3 cohorts. The estimated mean difference between the preintervention and action phases was -0.78 (95% CI, -6.88 to 5.31) percentage points for the colorectal e-trigger and 0.36 (95% CI, -5.19 to 5.9) percentage points for the lung e-trigger. However, there was a significant effect of the intervention by site, with the site with the lowest follow-up rate at baseline increasing its follow-up rate from 27.8% in the preintervention phase to 55.6% in the action phase. In this cluster-randomized clinical trial of the VBTS intervention, there was no improvement in the percentage of test results receiving follow-up. However, the VBTS may offer benefits for sites with low baseline performance. ClinicalTrials.gov Identifier: NCT04166240.

Diagnosis of acute myocardial infarction in patients with renal failure using high-sensitivity cardiac troponin T

Abstract Background Diagnosing myocardial infarction (MI) in patients with chronic kidney disease (CKD) is difficult as these patients often have elevated baseline high-sensitivity cardiac troponin T (hs-cTnT) concentrations. Methods Observational U.S. cohort study of emergency department (ED) patients undergoing hs-cTnT measurement. Cases with &amp;gt;1 hs-cTnT increase &amp;gt;99th percentile were adjudicated following the Fourth Universal Definition of MI. Diagnostic performance of baseline and serial 2- and 6-hour hs-cTnT thresholds for ruling-in acute MI was compared between those without and with CKD (eGFR &amp;lt;60 ml/min/1.73m2). Results The study cohort included 1992 patients, amongst whom 501 (25%) had CKD. There were 701 (82%) patients with myocardial injury, 64 (7.5%) with type 1, and 91 (11%) with type 2 MI. In CKD patients with baseline hs-cTnT thresholds of &amp;gt;52, &amp;gt;100, &amp;gt;200 or &amp;gt;300 ng/L, PPVs for acute MI were 37% [95% CI 28-46], 53% (95% CI 39-67), 73% (95% CI 50-89) and 80% (95% CI 44-98), and in those without CKD, 64% (95% CI 50-77), 69% (95% CI 49-85), 59% (95% CI 33-82) and 54% (95% CI 25-81). In CKD patients with a 2-hour hs-cTnT delta of &amp;gt;10, &amp;gt;20 or &amp;gt;30 ng/L, the corresponding PPVs were 65% (95% CI 50-78), 86% (95% CI 68-96) and 88% (95% CI 68-97), and in those without CKD, 65% (95% CI 51-78), 73% (95% CI 57-86) and 75% (95% CI 58-88) (Figure). Conclusion Diagnostic performance of standard baseline and serial 2-hour hs-cTnT thresholds to rule-in MI is suboptimal in patients with CKD. It significantly improves when using higher baseline thresholds and delta values.

Benefits of a light- intensity bout of exercise on attentional networks functioning

The effects of physical exercise on attentional performance have received considerable interest in recent years. Most of previous studies that assessed the effect of an acute bout of exercise on attentional performance have generally been approached by analysing single attentional functions in isolation, thus ignoring the functioning of other attentional functions, which characterizes the real perception-action environmental conditions. Here, we investigated the effect of two different intensities (light vs. vigorous) of acute exercise on attentional performance by using the ANTI-Vea, a behavioral task that simultaneously measures three attentional functions (phasic alertness, orienting, and cognitive control) and the executive and arousal components of vigilance. 30 young (age = 20.93; SD = 1.51 years) physically active participants (21 men and 9 women) completed three experimental sessions: the first one to assess their physical fitness and baseline performance in the ANTI-Vea, and the other two sessions (in counterbalanced order) to assess changes in attentional and vigilance performance after an acute bout of light- intensity vs. vigorous- intensity physical exercise. Beneficial effects on some accuracy scores (i.e., overall higher accuracy in the attentional sub-task and fewer false alarms in the executive vigilance sub-task) were observed in the light- intensity exercise condition compared to baseline and vigorous- intensity. Additionally, the RT score of phasic alertness was increased after the light- intensity exercise in comparison with baseline. The present findings suggest that a bout of acute exercise at light- intensity might induce some short-term beneficial effects on some aspects of attention and vigilance.

Implementation of a Whisper Architecture-Based Turkish Automatic Speech Recognition (ASR) System and Evaluation of the Effect of Fine-Tuning with a Low-Rank Adaptation (LoRA) Adapter on Its Performance

This paper focuses on the implementation of the Whisper architecture to create an automatic speech recognition (ASR) system optimized for the Turkish language, which is considered a low-resource language in terms of speech recognition technologies. Whisper is a transformer-based model known for its high performance across numerous languages. However, its performance in Turkish, a language with unique linguistic features and limited labeled data, has yet to be fully explored. To address this, we conducted a series of experiments using five different Turkish speech datasets to assess the model’s baseline performance. Initial evaluations revealed a range of word error rates (WERs) between 4.3% and 14.2%, reflecting the challenges posed by Turkish. To improve these results, we applied the low-rank adaptation (LoRA) technique, which is designed to fine-tune large-scale models efficiently by introducing a reduced set of trainable parameters. After fine-tuning, significant performance improvements were observed, with WER reductions of up to 52.38%. This study demonstrates that fine-tuned Whisper models can be successfully adapted for Turkish, resulting in a robust and accurate end-to-end ASR system. This research highlights the applicability of Whisper in low-resource languages and provides insights into the challenges of and strategies for improving speech recognition performance in Turkish.

Modelling and evaluating restricted ESNs on single- and multi-timescale problems

AbstractReservoir Computing is a computing model ideal for performing computation on varied physical substrates. However, these physical reservoirs can be difficult to scale up. We propose joining various reservoirs together as an approach to solving this problem, simulating physical reservoirs with Echo State Networks (ESNs). We investigate various methods of combining ESNs to form larger reservoirs, including a method that we dub Restricted ESNs. We provide a notation for describing Restricted ESNs, and use it to benchmark a standard ESN against restricted ones. We investigate two methods to keep the weight matrix density consistent when comparing a Restricted ESN to a standard one, which we call overall consistency and patch consistency. We benchmark restricted ESNs on NARMA10 and the sunspot prediction benchmark, and find that restricted ESNs perform similarly to standard ones. We present some application scenarios in which restricted ESNs may offer advantages over standard ESNs. We then test restricted ESNs on a version of the multi-timescale Multiple Superimposed Sines tasks, in order to establish a baseline performance that can be improved upon in further work. We conclude that we can scale up reservoir performance by linking small homogeneous subreservoirs together without significant loss in performance over a single large reservoir, justifying future work on using heterogeneous subreservoirs for greater flexibility.