Balancing Domain Research Articles

Balanced Domain Randomization for Safe Reinforcement Learning

Balanced Domain Randomization for Safe Reinforcement Learning

Short physical performance battery in aerobic capacity and physical activity evaluation of individuals with peripheral artery disease: An exploratory study

BackgroundPeripheral artery disease (PAD) negatively affects functional ability. Persons with PAD experience gait limitation, and changes in mobility, muscle strength, and balance. Assessing individuals with PAD with tests of lower limb performance during activities other than walking may provide information about aerobic capacity. ObjectiveTo evaluate whether the Short Physical Performance Battery (SPPB) can discriminate aerobic capacity and level of physical activity in individuals with PAD. MethodsThe SPPB, Incremental Shuttle Walking Test (ISWT), and the Human Activity Profile (HAP) were completed by 42 volunteers with PAD. The sample was stratified into tertiles by the distance walked in the ISWT and the Adjusted Activity Score (AAS) of HAP. One-way analysis of variance with a post-hoc least significant difference was used to compare the SPPB values between tertiles of ISWT and AAS of HAP. P-value < 0.05 was considered significant. ResultsThe mean age was 65 ± 7.7 years, the walking distance was 259.29 ± 115.28 m, and AAS of HAP was 68.36 ± 9.04. There was a significant difference in the total SPPB score and scores for gait speed and sit-to-stand for groups stratified by ISWT and AAS of HAP(p = 0.01). The balance domain was different only for groups stratified into tertiles by AAS of HAP(p = 0.04). ConclusionThe results of this study have clinical relevance for the evaluation of individuals with PAD at different aerobic and physical activity levels. The SPPB is a viable alternative in the practice of the specialty of vascular nursing and other areas of health to assess patients whose ability to perform walking tests is often limited.

Exploring Responsiveness to Highly Challenging Balance and Gait Training in Parkinson's Disease.

Exercise potentially improves gait, balance, and habitual physical activity in Parkinson's disease (PD). However, given the heterogeneous nature of the disease, it is likely that people respond differently to exercise interventions. Factors determining responsiveness to exercise interventions remain unclear. To address this uncertainty, we explored the responsiveness to our highly challenging balance and gait intervention (HiBalance) in people with PD. Thirty-nine participants with mild-moderate PD who underwent the HiBalance intervention from our randomized controlled trial were included. We defined response in three domains: (1) balance based on Mini-BESTest, (2) gait based on gait velocity, and (3) physical activity based on accelerometry-derived steps per day. In each domain, we explored three responsiveness levels: high, low, or non-responders according to the change from pre- to post-intervention. Separate Random Forests for each responder domain classified these responsiveness levels and identified variable importance. Only the Random Forest for the balance domain classified all responsiveness levels above the chance level indicated by a Cohen's kappa of "slight" agreement. Variable importance differed among the responsiveness levels. Slow gait velocity indicated high responders in the balance domain but showed low probabilities for low and non-responders. For low and non-responders, fall history or no falls, respectively, were more important. Among three responder domains and responsiveness levels, we could moderately classify responders in the balance domain, but not for the gait or physical activity domain. This can guide inclusion criteria for balance-targeted, personalized intervention studies in people with PD.

On-site extraction of benzophenones from swimming pool water using hybrid tapes based on the integration of hydrophilic-lipophilic balance microparticles and an outer magnetic nanometric domain

An on-site extraction device is presented consisting of scotch tape modified with concentric domains of micrometric hydrophilic-lipophilic balance (HLB) particles surrounded by a ring of nanometric magnetic ones. On the one hand, HLB microparticles are readily available at the surface of the tape, exposed to interact with the target analytes, being responsible for the extraction capacity of the sorptive phase. On the other hand, the presence of magnetic nanoparticles enables the attachment of the modified tape onto a metallic screw via a magnet, which is then coupled to a wireless drill, enabling the stirring of the microextraction device. Both are simply fixed to the cost-effective, flexible, and versatile support, i.e., scotch tape, owing to their adhesive properties. The microextraction device has been applied to the determination of six benzophenones in swimming pool water samples. The variables that may affect the extraction process have been evaluated. Under the optimum conditions and using liquid chromatography-tandem mass spectrometry as the instrumental technique, the method provided a limit of detection of 0.03 µg L−1. The intra-day precision, evaluated at three different concentration levels and expressed as relative standard deviation, was lower than 10%, which also comprises the variability within single-use sorptive tapes. The accuracy, calculated with spiked samples and expressed as relative recovery, ranged from 71 to 138%. The method was applied to the analysis of swimming pool water, revealing the presence of such compounds.Graphical

Textured insoles may improve some gross motor balance measures but not endurance measures in children with motor coordination issues. A randomised controlled feasibility trial.

Motor coordination concerns are estimated to affect 5%-6% of school-aged children. Motor coordination concerns have variable impact on children's lives, with gait and balance often affected. Textured insoles have demonstrated positive impact on balance and gait in adults with motor coordination disorders related to disease or the ageing process. The efficacy of textured insoles in children is unknown. Our primary aim was to identify the feasibility of conducting a randomised controlled trial involving children with motor control issues. The secondary aim was to identify the limited efficacy of textured insoles on gross motor assessment balance domains and endurance in children with movement difficulties. An assessor-blinded, randomised feasibility study. We advertised for children between the ages of 5-12years, with an existing diagnosis or developmental coordination disorder or gross motor skill levels assessed as 15th percentile or below on a norm-referenced, reliable and validated scale across two cities within Australia. We randomly allocated children to shoes only or shoes and textured insoles. We collected data across six feasibility domains; demand (recruitment), acceptability (via interview) implementation (adherence), practicality (via interview and adverse events), adaptation (via interview) and limited efficacy testing (6-min walk test and balance domain of Movement ABC-2 at baseline and 4weeks). There were 15 children randomised into two groups (eight received shoes alone, seven received shoes and textured insoles). We experienced moderate demand, with 46 potential participants. The insoles were acceptable, however, some parents reported footwear fixture issues requiring modification. The 6-min walk test was described as problematic for children, despite all but one child completing. Social factors impacted adherence and footwear wear time in both groups. Families reported appointment locations and parking impacting practicality. Underpowered, non-significant small to moderate effect sizes were observed for different outcome measures. Improvement in balance measures favoured the shoe and insole group, while gait velocity increase favoured the shoe only group. Our research indicates that this trial design is feasible with modifications such as recruiting with a larger multi-disciplinary organisation, providing velcro shoe fixtures and using a shorter timed walk test. Furthermore, progressing to a larger well-powered randomised control trial is justified considering our preliminary, albeit underpowered, efficacy findings. This trial was retrospectively registered with the Australian and New Zealand Clinical Trial Registration: ACTRN12624000160538.

Legislation for advancing women’s leadership in the health sector in India and Kenya: a ‘law cube’ approach to identify ways to strengthen legal environments for gender equality

ObjectivesThis paper examines the availability of legal provisions, or the lack thereof, that support women to progress equitably into leadership positions within the health workforce in India and Kenya.MethodsWe adapted...

Integrating Domain Knowledge in Multi-Source Classification Tasks

This work presents an extended investigation into multi-domain learning techniques within the context of image and audio classification, with a focus on the latter. In machine learning, collections of data obtained or generated under similar conditions are referred to as domains or data sources. However, the distinct acquisition or generation conditions of these data sources are often overlooked, despite their potential to significantly impact model generalization. Multi-domain learning addresses this challenge by seeking effective methods to train models to perform adequately across all domains seen during the training process. Our study explores a range of model-agnostic multi-domain learning techniques that leverage explicit domain information alongside class labels. Specifically, we delve into three distinct methodologies: a general approach termed Stew, which involves mixing all available data indiscriminately; and two batch domain-regularization methods: Balanced Domains and Loss Sum. These methods are evaluated through several experiments conducted on datasets featuring multiple data sources for audio and image classification tasks. Our findings underscore the importance of considering domain-specific information during the training process. We demonstrate that the application of the Loss Sum method yields notable improvements in model performance (0.79 F1-Score) compared to conventional approaches that blend data from all available domains (0.62 F1-Score). By examining the impact of different multi-domain learning techniques on classification tasks, this study contributes to a deeper understanding of effective strategies for leveraging domain knowledge in machine learning model training.

Few-shot multi-domain text intent classification with Dynamic Balance Domain Adaptation Meta-learning

User intents are ever-changing, which requires deep learning models to have the ability to classify unknown intents. Meta-learning aims to solve this problem by improving the model’s generalization ability to unknown intent. However, learning on a small amount of text can easily lead to overfitting of the model. Domain adaptation can help us train a more robust model. However, most existing methods only focus on global feature alignment and ignore alignment in subdomains. Therefore, in this study, we first consider the case where the model can maintain robustness with a small amount of data and then explore and mine the higher quality transferable features. Based on these ideas, we propose Dynamic Balance Domain Adaptation Meta-learning (DBDAML), which adaptively learns higher quality transferable features in both the global domain and subdomains.11in this paper, each subdomain represents the domain under a separate class. At the same time, we define a dynamic balance factor to enable DBDAML to dynamically focus on the global domain and subdomains. This allows the model to give different attention to different domain adaptations and prevents it from overfitting of a domain feature alignment. The dynamic balance factor is estimated by the contribution of different domain discriminators to the loss, which also makes it easy to calculate and accurate. Finally, we use the meta-learning framework to model the entire theoretical idea. Extensive experiments demonstrate that our approach achieves better performance than state-of-the-art baseline methods.

Latent Profiles of Acute Symptoms, Cognitive Performance, and Balance in Sport-Related Concussions

Background: A sport-related concussion (SRC) is a common injury that affects multiple clinical domains such as cognition, balance, and nonspecific neurobehavioral symptoms. Although multidimensional clinical assessments of concussion are widely accepted, there remain limited empirical data on the nature and clinical utility of distinct clinical profiles identified by multimodal assessments. Purpose: Our objectives were to (1) identify distinct clinical profiles discernible from acute postinjury scores on the Sport Concussion Assessment Tool (SCAT), composed of a symptom checklist, a cognitive assessment (Standardized Assessment of Concussion), and a balance assessment (Balance Error Scoring System), and (2) evaluate the clinical utility of the identified profiles by examining their association with injury characteristics, neuropsychological outcomes, and clinical management–related outcomes. Study Design: Cohort study (Prognosis); Level of evidence, 2. Methods: Up to 7 latent profiles were modeled for 1885 collegiate athletes and/or military cadets who completed the SCAT at 0 to 12 hours after an injury. Chi-square tests and general linear models were used to compare identified profiles on outcomes at 12 to 72 hours after the injury. Kaplan-Meier analysis was used to investigate associations between clinical profiles and time to return to being asymptomatic and to return to play. Results: There were 5 latent profiles retained: low impairment (65.8%), high cognitive impairment (5.4%), high balance impairment (5.8%), high symptom severity (16.4%), and global impairment (6.5%). The latent profile predicted outcomes at 12 to 72 hours in expectable ways (eg, the high balance impairment profile demonstrated worse balance at 12 to 72 hours after the injury). Time to return to being asymptomatic and to return to play were different across profiles, with the high symptom severity and global impairment profiles experiencing the longest recovery and the high balance impairment profile experiencing an intermediate-length recovery (vs low impairment profile). Conclusion: An SRC is a heterogeneous injury that presents in varying ways clinically in the acute injury period and results in different recovery patterns. These data support the clinical prognostic value of diverse profiles of impairment across symptom, cognitive, and balance domains. By identifying distinct profiles of an SRC and connecting them to differing outcomes, the findings support more evidence-based use of accepted multimodal clinical assessment strategies for SRCs.

Chemotherapy-Induced Peripheral Neuropathy and Falls in Cancer Survivors Relate to Digital Balance and Gait Impairments.

Chemotherapy-induced peripheral neuropathy (CIPN) and falls can be persistent side effects of cancer treatment. Standing postural sway and gait tests with body-worn, inertial sensors provide objective digital balance and gait measures that represent several different domains controlling mobility. Specific domains of balance and gait that related to neuropathy and falls are unknown. The aim of this study was to determine which domains of balance and gait differed between cancer survivors who report (1) CIPN symptoms versus no symptoms, (2) a history of falls in the past 6 months versus no falls, and (3) prospective falls over 12 months versus no falls. Postural sway during 30 seconds of quiet standing and gait characteristics from a 7-m timed up and go test were recorded with six synchronized inertial sensors (Opals by APDM Wearable Technologies, a Clario Company) in 425 older, female cancer survivors (age: 62 ± 6 years). A principal component analysis (PCA) approach was used to identify independent domains of mobility from 15 balance and gait measures. PCA analysis revealed five independent domains (PC1 = sway amplitude, PC2 = gait pace, PC3 = sway frequency, PC4 = gait spatial-temporal, and PC5 = turning) that accounted for 81% of the variance of performance. Cancer survivors who reported CIPN symptoms had significantly higher sway frequency (PC3) than asymptomatic survivors. Past fallers had significantly larger sway area (PC1) and slower gait pace (PC2) than nonfallers. Prospective fallers showed a significantly smaller stride length (PC4) than nonfallers. Digital balance and gait measures using wearable sensors during brief standing and walking tests provide objective metrics of CIPN-related mobility impairment and fall risk that could be useful for oncology clinical trials.

Immediate Effects of High-Cadence Cycling on Core Outcomes in Individuals With Parkinson's Disease.

Despite a strong body of evidence supporting benefits of exercise to reduce severity of motor symptoms of Parkinson's Disease (PD) over time, research on the immediate impact of exercise as an adjunctive therapy for nonpharmacologic management of motor symptoms and mobility performance in people with PD is limited. The purpose of this study was to examine immediate effects of a single bout of high-cadence cycling on motor symptoms of PD and performance-based outcomes. Twenty individuals with idiopathic PD participated in a pretest/posttest study investigating immediate impacts of a single high-cadence cycling session on performance-based outcomes across multiple domains of motor function, mobility, and balance. Outcomes were analyzed based on time since last dose of levodopa/carbidopa medication. Immediate improvements were observed in motor symptoms of PD with significant improvements in performance across multiple balance systems, dynamic gait, and upper-extremity coordination following a cycling intervention.

Improving Motor Proficiency in Children with Developmental Delays: A Meta-Analysis Evaluating the Impact of Motor Skills Interventions

This study investigated the impact of motor skill interventions in improving motor proficiency among children with developmental delays following Preferred Reporting Items for Systematic Reviews and Meta-analysis “PRISMA” recommendations. The included studies were searched on four databases: Google Scholar, PEDro, MEDLINE, and Cochrane Library. Studies published during the year 2012 to 2022 were selected. The data was extracted by defining the publication year, type of study design, targeted population, and type of physical therapy intervention. The outcome measures included four components of motor proficiency: bilateral coordination, balance, speed and agility, and strength. The results revealed statistically significant findings and a large effect size for bilateral coordination (SMD=1.003, CI=95%) and speed and agility (SMD=0.854, CI=95%). However, a smaller effect size with significant findings was observed in the balance domains (SMD=0.333, CI=95%) and strength (SMD=0.337, CI=95%). Despite the promising results of the analyzed interventions, some of the included studies observed a high risk of bias. However, it is evident from the analysis that protocols directed toward advanced approaches have shown more promising results than traditional physical exercise regimens.

Hybrid augmented network with balance domain window for few-shot fault diagnosis under sharp speed variation

In engineering practice, the operation of mechanical equipment under conditions of sharp speed variation can result in domain shift in the distribution of samples. Moreover, the presence of data deficiencies in engineering poses significant challenges for intelligent diagnostic techniques. To address these issues, this paper proposes a network called Hybrid Augmented network with Balance Domain Window (BW-HAN). The BW-HAN network utilizes convolution operations to segment samples into infinitesimal patches while extracting their underlying features, and then embeds these patches into attention computational mechanism for invariant domain feature extraction. To handle domain shift, a novel partitioning method is designed based on data restructuring and data flow. This method aims to suppress domain shift within windows while establishing global connectivity between windows. Furthermore, a semi-dense connection method with multi-level residual fusion has been developed based on the principles of feature reuse and parameter sharing to address the issue of overfitting caused by limited samples, thereby enhancing model stability. Comparative studies are conducted with other networks on three variable-speed cases to demonstrate the superiority of the BW-HAN network. The experimental results show that the proposed BW-HAN network performs well in all three cases and effectively addresses the problem of insufficient data under sharp speed variation in mechanical fault diagnosis.

Quality of life after revision mastoidectomy with mastoid obliteration

AimsTo evaluate the postoperative quality of life (QoL) after revision canal wall down mastoidectomy with mastoid obliteration (rCWD). Material and methodsA retrospective analysis was conducted on patients treated by rCWD for cholesteatoma between 2016 and 2019. A control group including all patients treated by primary canal wall down with mastoid obliteration (pCWD) for cholesteatoma between 2009 and 2014 was used for the comparison of the postoperative QoL, assessed by the COMQ-12. ResultsThe rCWD and pCWD groups respectively counted 38 and 78 patients with an average follow-up of 30 and 62 months respectively. No significant difference was found in terms of QoL between the two groups. An intra-group analysis among rCWD patients, showed that patients treated by canal wall down (CWD) at the primary surgery had a significantly worse post-revision QoL compared to those initially treated by canal wall up (CWU), specifically in the hearing and balance domains of the questionnaire. ConclusionsRevision mastoid obliteration leads to similar QoL results to those obtained after primary CWD with obliteration. Patients who had undergone a CWD as primary surgery complain worse hearing and balance problems compared to those primarily submitted to CWU, even after revision surgery.

CME-EPC: A coarse-mechanism embedded error prediction and compensation framework for robot multi-condition tasks

While industrial robots are widely used in various fields owing to their large workspace and high flexibility, significant errors constrain their application in high-precision scenarios. Though there have been notable achievements in mechanism modeling for different working conditions, they are complex, work-dependent, and difficult to apply conveniently to multiple operating conditions. Therefore, a coarse-mechanism embedded error prediction and compensation (CME-EPC) framework for robot multi-condition tasks is proposed, combining knowledge-rich coarse mechanism models and intelligent algorithms. These modules are proposed in CME-EPC, including coarse mechanism embedded simulation domain construction, active learning-based labeling of few-shots, and clustering-guided balanced domain adaptation transfer learning. These modules perform jointly to achieve accurate prediction and reliable compensation of errors. The proposed framework is experimentally validated in four tasks under three conditions, achieving superior performance compared to the other six methods with a conventional coarse-mechanism model and 10 % of the labeled samples. The compensated error is significantly reduced compared with other methods, with a maximum reduction of 94.31 %. Further analysis revealed that the CME-EPC is efficient, stable, and robust against the uncertainty of the mechanism model, thus highlighting the future potential of the robot's high-precision applications.

Heterogeneity of Functional Improvement in Patients with Spinal Tetraplegia: a Retrospective Observational Longitudinal Study

INTRODUCTION. The prevalence of severe spine and spinal cord injuries worldwide is increasing, while the structure and nature of recovery of lost functions remain poorly understood.&#x0D; AIM. To study the variability of functional activities during continued rehabilitation to distinguish pure rehabilitation goals&#x0D; MATERIAL AND METHODS. 190 patients with C4D1 tetraplegia 1860 years old whose were under clinical and functional follow up over a period for 57 years after spinal cord injury were examined. They were examed using the motor section of the FIM scale (FIMm), the VLT scale. The rehabilitation program was standardized and based on the National Clinical Guidelines for physical rehabilitation in spinal cord injured patients.&#x0D; RESULTS. At admission, the age of the patients was 31 (24.0; 43.0) years, the proportion of patients with DU C4C6 was 117 (62 %), with complete damage types A and B was 134 (70 %) patients, men 151 (79 %). Functional improvement was 19 (12.0; 28.0) points on the VLT scale; 14 (5.0; 21.0) points on the FIMm scale over the entire observation period, and was predominantly noted in the first rehabilitation cycle. The proportion of patients completely independent increased on FIMm activities: eating by 25 %, dressing the upper body by 33 %, dressing the lower body by 20 %, self-care domain by +34 %, wheelchair transfer by 21 %, walking by 5 %, and the proportion of patients completely dependent decreased: eating by 9 %, upper dressing by 13 %, lower dressing by 12 %, self-care domain by 7 %, wheelchair transfer by 21 %, wheelchair mobility by 11 %, and walking by 4.5 %. Changes on the VLT scale domains were balance domain 14 %, 1 finger 18 %, hand 26 %, and manipulation 11 %. The gain in food intake activity (FIM) was higher in patients with DU C6C8 (4050 %) and incomplete motor damage (43 %), on the VLT scale domains similar to C6C8 (1218 %), and incomplete motor damage (20 %).&#x0D; CONCLUSION. The most significant functional recovery occurred in self-care and transfer activities, as well as hand and pinch grasping.

Factors associated with balance impairments in the community-dwelling elderly in urban China

BackgroundIdentification of factors relevant to balance performance impairments in the elderly population was critical for developing effective interventions and preventions. However, there have been very limited data available based on large scale studies. The present study identified factors that independently contributed to performance impairments in overall balance, domains of static balance, postural stability, and dynamic balance, and individual items.MethodsA total of 1984 community-dwelling Chinese elderly from urban areas of Shanghai were recruited. Information on demographic characteristic, exercise, and health status were collected with a face-to-face interview. Balance performances were assessed on site by trained investigators based on the X16 balance testing scale. To identify the effectors, ordinal logistic regression analysis was applied for overall balance, static balance, postural stability, and dynamic balance. Binary logistic regression analysis was used for 16 items.ResultsThe community-dwelling elderly residents were aged from 60 to 97 years old. With increases of age, risks of impairments in overall balance increased gradually (ORs from 1.26 to 3.20, all P < 0.01). In the elderly with overweight and obesity, there was higher proportion of balance impairments compared to the elderly with normal BMI (OR = 1.26, P < 0.001). Regular exercise every week was associated with reduced risks of balance impairments (ORs from 0.63 to 0.73, all P < 0.001). Presences with vision lesion (ORs from 1.28 to 1.59, all P < 0.001), moderate hearing impairment (OR = 1.54, P < 0.001), somesthesis dysfunction (ORs from 1.59 to 13.26, all P < 0.001), and cerebrovascular disease (OR = 1.45, P = 0.001) were related to increased risks of balance impairments. Likewise, age, exercise, vision, hearing, somesthesis, and cerebrovascular disease were significantly associated with static balance, postural stability, and dynamic balance. Both overweight and obesity and underweight were associated with higher proportions of dynamic balance impairments. Regular exercise was significantly related to reduced risks of impairments in 15 out of the 16 items.ConclusionsIn the elderly, age, overweight and obesity, exercise, vision, hearing, somesthesia, and cerebrovascular disease were dominant factors associated with impairments in overall balance, domains of static balance, postural stability, and dynamic balance, and most individual items.Trial registrationNot applicable.

Effect of SPARK Training Program on Neuropsychological and Motor Performance of Male Children With Developmental Coordination Disorder

Background and Aims The present study aims to investigate the effect of the SPARK training program on some neuropsychological and motor performance variables in the Movement Assessment Battery for Children - Second Edition (MABC-2) in male children with developmental coordination disorder (DCD). Methods This is a quasi-experimental study with a pre-test/post-test design. Participants were 28 school-aged boys diagnosed with DCD (based on the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders) from elementary schools (1-4th grades) in District 22 of Tehran, Iran. They underwent the MABC-2 tests as a pretest assessment. Then, they were divided randomly assigned to training (n=14, mean age: 8.6±1.39 years) and control (n=14, mean age: 8.11±1.15 years) groups. The training group performed the SPARK training program at 16 sessions of 45 minutes, three sessions per week. At the end of the training sessions, participants completed the posttest assessment. Data analysis was performed using analysis of covariance. Results The training significantly improved motor performance in domains of manual dexterity (Placing pegs, drawing a trail), ball skills (catching with both hands, throwing a bean bag onto mat), and balance (One-board balance, heel-to-toe walking forwards, hopping on mats) (P&lt;0.05), but there was no significant change in manual dexterity test of threading lace (P&gt;0.05). Conclusion It seems that the SPARK training program can improve some neuropsychological and motor performance indices in male children with DCD.

Exploring mobility dysfunction in people with and without impaired cognition in Parkinson disease

IntroductionThe relationship between mobility and cognition has been studied in the aging population and associations have been also reported in people with Parkinson's disease (PD). ObjectiveTo compare different aspects of gait and balance between individuals with PD who have normal cognition and those with impaired cognition, using both clinical and instrumented measures. MethodsOne-hundred forty-three participants with PD were divided into two groups: 1) normal cognition (n = 71) and 2) impaired cognition (n = 72) based on the Montreal Cognitive Assessment (MoCA) cut-off. Groups were compared using instrumented and clinical measures of gait and balance in the following domains: Sensory Orientation, Anticipatory Postural Adjustments, Automatic Postural Responses and Dynamic Balance for Gait. Instrumented measures were obtained via wearable sensors while performing eight different motor tasks and clinical measures were obtained with the Mini-BESTest. ResultsThe total Mini-BESTest score was not different between groups. However, the Dynamic Gait domain was worse in individuals with impaired cognition. Among the instrumented measures across domains, all significant group differences were in the Dynamic Gait domain, specifically, dual-task gait speed, dual-task stride length, stance time, and turn velocity. ConclusionsDynamic balance during gait was more impaired in people with PD who had abnormal cognition than those with normal cognition, for both clinical and instrumented measures. All other balance domains did not differ between groups, for both instrumented and clinical measures.

Refined Bohr inequality for functions in and in complex Banach spaces

In this paper, we first obtain a refined version of the Bohr inequality of norm-type for holomorphic mappings with lacunary series on the polydisk in under some restricted conditions. Next, we determine the refined version of the Bohr inequality for holomorphic functions defined on a balanced domain G of a complex Banach space X and take values in the unit disk . Furthermore, as a consequence of one of these results, we obtain a refined version of the Bohr-type inequality for harmonic functions defined on a balanced domain . All the results are proved to be sharp.