Length Variability Research Articles

Locally Defined Seasonal Rainfall Characteristics within the Horn of Africa Drylands from Rain Gauge Observations

Abstract Seasonal rainfall is critical to lives and livelihoods within the Horn of Africa drylands (HAD), but it is highly variable in space and time. The main HAD rainfall seasons are typically defined as March–May (MAM) and October–December (OND). However, these 3-month periods are only generalized definitions of seasonality across the HAD, and local experience of rainfall may depart from these substantially. Here, we use daily rain gauge data with a duration of at least 10 years from 69 stations across the drylands of Kenya, Somalia, and Ethiopia to locally delineate key rainfall seasons. By calculating local seasonal rainfall timings, totals, and extremes, we obtain more accurate estimates of the spatial variability in rainfall delivery across the HAD, as well as climatological patterns. Results show high spatial variability in season onset, cessation, and length across the region, indicating that a homogenous classification of rainfall seasons across the HAD (e.g., MAM and OND) is inadequate for representing local rainfall characteristics. Our results show that the “long rains” season is not significantly longer than the “short rains” season over the period of study. This could be related to the previously documented decline of the “long rains” seasonal totals over recent decades. Several rainfall metrics also vary spatially between seasons, and the rainfall on the most extreme days can accumulate to double the local mean seasonal total. The locally defined rainfall seasons better capture the bulk of the rainfall during the season, giving improved characterization of rainfall metrics, consistent with the aim of a better understanding of rainfall impacts on local communities.

CRISPR Diagnostics for Quantification and Rapid Diagnosis of Myotonic Dystrophy Type 1 Repeat Expansion Disorders.

Repeat expansion disorders, exemplified by myotonic dystrophy type 1 (DM1), present challenges in diagnostic quantification because of the variability and complexity of repeat lengths. Traditional diagnostic methods, including PCR and Southern blotting, exhibit limitations in sensitivity and specificity, necessitating the development of innovative approaches for precise and rapid diagnosis. Here, we introduce a CRISPR-based diagnostic method, REPLICA (repeat-primed locating of inherited disease by Cas3), for the quantification and rapid diagnosis of DM1. This method, using in vitro-assembled CRISPR-Cas3, demonstrates superior sensitivity and specificity in quantifying CTG repeat expansion lengths, correlated with disease severity. We also validate the robustness and accuracy of CRISPR diagnostics in quantitatively diagnosing DM1 using patient genomes. Furthermore, we optimize a REPLICA-based assay for point-of-care-testing using lateral flow test strips, facilitating rapid screening and detection. In summary, REPLICA-based CRISPR diagnostics offer precise and rapid detection of repeat expansion disorders, promising personalized treatment strategies.

Gait variability predicts real-life falls in high-functioning stroke survivors

BackgroundWhile over 60 % of adults with stroke fall each year, the risk is greatest in high-functioning individuals with mild motor impairments and greater physical mobility. We lack sensitive predictors of falls in this population. Therefore, our study aimed to determine the relative contribution of gait variability and widely used tests of balance and mobility in predicting real-life falls in high-functioning adults with stroke. MethodsTwenty-four adults with stroke who had the ability to walk independently, Fugl-Meyer lower-extremity score of ≥19/34, and Frenchay Activities Index ≥16/45 performed overground walking, Timed-up and go, and Berg balance scale. We quantified the gait speed, and gait variability for stride length and stride time. We recorded the history of falls in the past one year. FindingsThe incidence rate of past falls was 50 %. Stride length variability and Berg balance scale score were associated with previous falls in univariate analyses and were subsequently included in the multivariate model. Multivariate analyses showed that only stride length variability significantly predicted past falls (OR = 2.73, 95 % CI 1.05–7.08, p = 0.03). A cut-off of 3.98 % for stride length variability had 75 % sensitivity and 91.7 % specificity in predicting previous falls (AUC = 0.83, 95 % CI 0.64–1.00, p < 0.001). InterpretationIn high-functioning adults with stroke, stride length variability during overground walking is a strong predictor of the past incidence of falls compared with traditional balance and mobility tests. Our findings highlight the importance of gait variability in accurately determining fall risk among high-functioning post-stroke individuals.

Influence of regional anesthesia on fall risk in adults over 60 years

BackgroundAge-related changes can influence gait and contribute to a higher fall risk. Other influencing factors might be certain anesthetic procedures which affect therapeutic decisions. The study's goal was to evaluate whether brachial plexus blockade impacts the postoperative fall risk in adults ≥60 years. Methods40 adults ≥60 years without predisposing fall risk factors receiving brachial plexus blockade were included. Gait parameters during single- and dual-task conditions were assessed using the GAITRite® walkway at three measurement points: preoperatively, within 24 h, and two weeks postoperatively. Additionally, a geriatric assessment including Berg Balance Scale, Timed Up and Go test and Montreal Cognitive Assessment was conducted, alongside pain intensity via Numeric Rating Scale. Statistical analysis involved ANOVA with repeated measures. FindingsAll gait parameters showed a performance reduction within 24 h. Significant changes occurred during single-task in stride length (P = 0.018) and stride width variability (P < 0.01), further during dual-task in stride width (P = 0.015) and velocity (P = 0.039). Notable changes were also observed in the Berg Balance Scale (P < 0.0001), the Timed Up and Go test (P < 0.001), and Montreal Cognitive Assessment (P = 0.037). After two weeks the study parameters returned to the performance prior to surgery. Performance declined with increasing age. Pain intensity remained low. InterpretationWhile brachial plexus blockade offers various advantages for patients due to its tolerability and controllability an increased gait instability and thus fall risk within the first postoperative day must be considered especially in older adults.

Wavelet-based time-frequency intermuscular beta-band coherence decreases with age but increases after mental fatigue in ankle muscles during gait independent of age

Mental fatigue can affect cognitive function and interfere with motor performance. We examined if mental fatigue affected gait through age-specific modulation of wavelet-based time–frequency intermuscular beta-band coherence in muscles while walking on a treadmill at 1.2 m·s-1. The Psychomotor Vigilance Task, and the AX-Continuous Performance and the Stroop tests were used to induce mental fatigue in groups of healthy young and older participants. Mental fatigue reduced stance time, stride length, and marginally step width and increased cadence, stride length and stance time variability. In older compared with young participants before the induction of mental fatigue, wavelet-based time–frequency intermuscular beta-band coherence measured during walking was lower in the tibialis-peroneus and tibialis-gastrocnemius muscle pairs in specific phases of the gait cycle. In both age groups, after induction of mental fatigue, selected clusters of wavelet-based time–frequency intermuscular beta-band coherence measured during walking increased in the biceps-semitendinosus, rectus-vastus, tibialis-peroneus, gastrocnemius-soleus, and tibialis-gastrocnemius muscle pairs. In conclusion, age and mental fatigue seem to induce different effects on wavelet-based time–frequency intermuscular beta-band coherence measured during gait in healthy young and older adults’ ankle muscles.

Do sensorimotor insoles improve gait safety in patients with Parkinson’s disease on a short scale?

IntroductionParkinson’s disease (PD) often leads to gait abnormalities, increasing the risk of falls and affecting daily life. Sensorimotor insoles aim to enhance foot sensitivity, potentially improving gait stability. MethodsThis study examined whether there are short-term effects of sensorimotor insoles on neural activation (measured by EEG), kinematic gait parameters (speed, cadence, step length, and step-length variability), and subjective gait stability in PD patients. Sixteen individuals suffering from PD completed a gait task while wearing sensorimotor and placebo insoles, respectively. ResultsThe results showed no significant changes in kinematic parameters with the sensorimotor insoles. Subjective ratings of gait stability and attentional control of gait improved on average with the sensorimotor insoles, but again did not reach statistical significance. There was no significant reduction in alpha-band activity, indicating no improvement in sensorimotor processing. ConclusionThe immediate impact of sensorimotor insoles on sensorimotor processing and gait characteristics in PD patients remains inconclusive. The small sample size limited the statistical power, highlighting the need for larger studies to comprehensively assess efficacy. Further research should investigate the long-term effects and potential benefits on disability measures in PD patients.

Gait performance in older adults across the cognitive spectrum: Results from the GAIT cohort.

Gait performance can provide valuable insights into cognitive functioning in older adult and may be used to screen for cognitive impairment. However, the optimal test condition and spatiotemporal parameter for accuracy have not yet been determined. This study aims to determine the gait measure with the highest accuracy identifying cognitive decline. A total of 711 participants were recruited, including 332 cognitively healthy individuals, 264 with mild cognitive impairment (MCI), and 115 with dementia, with a mean age of 72 years (interquartile range 69-76), and 43% (n = 307) of women. The participants underwent gait assessment in three different conditions, including a single task and dual tasks of counting backward by ones and naming animals. Gait performance was deteriorated as cognitive impairment progressed. The gait test performed during naming animals condition was the most accurate in differentiating between cognitive groups. Specifically, the naming animals gait speed was more accurate in discriminating control participants from those with cognitive impairment (area under the curve [AUC] = 76.9% for MCI and 99.7% for people with dementia with control group as reference). The coefficient of stride length variability while naming animals was the most effective parameter in discriminating between MCI and dementia groups (AUC = 96.7%). The naming animals dual-task gait test can be a valuable assessment for screening cognitive impairment in older adults, regardless of their cognitive abilities. The test is useful in clinical settings for subjects with a range of cognitive profiles.

A Brief Review of Hemp Fiber Length Measurement Techniques

Accurate fiber length measurement is essential for the processing and quality management of textile products. This article reviews the current methods used to measure fiber length, including manual, photoelectric, capacitive, and optical techniques. Existing sample preparation processes for natural fiber characterization have been primarily developed for cotton and wool fibers. However, hemp fibers present unique challenges due to their greater length variability, high strength, and low elongation, making some traditional sample preparation methods less effective. Image processing offers a promising approach for scalable and precise measurement of hemp fiber length. Nevertheless, current image processing techniques are limited by the inability to effectively handle overlapping fibers, which increases both the time and cost of testing. Continued research into developing more advanced segmentation algorithms could lead to more widely adopted commercial methods for fiber measurement.

Relationship of body height to thoracic aortic length: implications for sex differences and normative values

Abstract Introduction The scaling of organ to body size is highly variable and can affect organ function in individuals of different sizes. Despite the relationship between aortic length and body size, to our knowledge, its scaling relationship has not been assessed. We assessed the allometric relationship between thoracic aortic length and body height and generated normative data for this important structural parameter. Methods Using a convolutional neural network (U-Net) we segmented the thoracic aorta among 49,282 UKBB participants who underwent magnetic resonance imaging. To define normal allometric relationships, we included a highly selected subgroup (n=3,856) without cardiovascular risk factors or prevalent cardiovascular disease. Allometric relations were estimated using sex-adjusted log-log models. Results The mean thoracic aorta centerline length was 31.68 (SD=2.50) cm. Males exhibited longer thoracic aortas than females (32.93 vs. 31.15 cm; P&amp;lt;0.0001). In log-log models, body height accounted for 13.4% of the population variability in thoracic aortic length (R2=0.134; P&amp;lt;0.0001). The allometric power relating thoracic aortic length to body height was highly sublinear (power point estimate=0.44; 95% CI:0.37, 0.50). Sex was a predictor of thoracic aortic length (β=0.02; 95%CI=0.014, 0.029; P&amp;lt;0.0001), indicating that for any given body height, females had slightly shorter thoracic aortas compared to males. Among males, the 5th, 25th, 50th, 75th and 95th percentiles of allometrically scaled aortic length were 2.69, 3.20, 3.36, 3.53, and 3.96, respectively. Among females, the corresponding percentiles were 2.69, 3.11, 3.29, 3.46, 4.01. Conclusions The thoracic aorta exhibits a highly sublinear length relationship with body height, suggesting that disproportionate length relationships at the extremes of body height may have an important impact on pulsatile hemodynamics. Females exhibit slightly shorter thoracic aortas than males even after accounting for body height in an allometric fashion.aorta length vs height

Risk factors for Relative and Absolute Hypoglycemia in Patients Treated for Diabetic Ketoacidosis and Hyperosmolar Hyperglycemic Syndrome.

Introduction: Glycemic management in the intensive care unit is an evolving practice area. This evolution has included the refinement of blood glucose targets, matching glycemic management to premorbid status, and investigations into the impact of glycemic variability and relative hypoglycemia on ICU outcomes. The interplay between these phenomena and absolute hypoglycemia has yet to be investigated in hyperglycemic emergencies. Objectives: To examine the incidence of and risk factors for relative hypoglycemia and absolute hypoglycemia in patients admitted to an intensive care unit for the management of hyperglycemic emergencies. Methods: This was a retrospective, single-center, exploratory analysis of adults admitted to the medical intensive care unit for diabetic ketoacidosis or hyperosmolar hyperglycemic syndrome. The primary outcome was the incidence of relative hypoglycemia, defined as a blood glucose level 30% lower than baseline. The baseline was determined by the estimated average blood glucose calculated from hemoglobin A1c within 3 months of index admission. Secondary outcomes were ICU length of stay, glycemic variability, and incidence of absolute hypoglycemia.Results: Relative hypoglycemia was observed in 60% of patients in the cohort. Longer insulin infusion duration and higher hemoglobin A1c levels were found to statistically increase the risk of developing relative hypoglycemia. Higher glycemic variability and longer ICU length of stay were associated with the risk of developing absolute hypoglycemia. Conclusions: Relative hypoglycemia is a frequent occurrence in this patient population. Hemoglobin A1c and duration of the insulin infusion statistically influenced the risk of developing relative hypoglycemia. Higher glycemic variability and longer ICU stay were significantly associated with developing absolute hypoglycemia. While relative hypoglycemia is common in hyperglycemic emergencies, the clinical impact remains uncertain and warrants additional investigation.

Environmental effects on abundance and size of harvested bivalve populations in intertidal shellfish grounds

Clams, razor clams and cockle are intertidal bivalve species collected on foot in the shellfish grounds of the Rías Altas (NW Spain). Spatio-temporal distribution of these bivalves are typically at the expenses of the environmental conditions of the region; however, the responses to the abiotic conditions are poorly understood. Using data from 6 species (Ruditapes decussatus, Venerupis corrugata, Ruditapes philippinarum, Cerastoderam edule, Donax trunculus and Solen marginatus) sampled in 51 intertidal shellfish grounds during 2007 and 2008, we characterized the influence of the environment (temperature, salinity, nutrient salts, suspended organic matter, or sediment granulometry and composition) on the distribution and size of these species through a comparative statistical analysis. Shellfish grounds were grouped according to their sediment and water characteristics revealing a land-ocean gradient and the influence of the geological imprint that separates bivalve grounds from West to East. Statistical models showed that R. decussatus, V. corrugata and R. philippinarum together with C. edule were more abundant in sites combining a strong marine influence with organic-rich finer sediments. However, each of those species also had different environmental niches mostly related to their particular sediment affinities, the proximity to the river mouth, and their physiological tolerances to temperature and salinity. D. trunculus was only found in outer exposed shellfish grounds, while S. marginatus abundance increased in muddy sediments. River distance was a sound descriptor of individual shell length and length variability with contrasting effects on the different species. Furthermore, slopes of length-weight relationships were steeper in autumn than in spring, and this allometry tended to be more positive in sites located closer to the rivers’ mouth, which had a higher organic matter C/N ratio. Overall, harvested intertidal bivalves had identifiable environmental preferences that influence their spatial distribution in abundance, body size, and allometric growth.

Crowder Chain Length Variability and Excluded Volume Effect on the Phase Separation Behavior of Mucin.

Phase separation within cellular membranes, a critical process underpinning diverse cellular functions, is significantly influenced by transmembrane proteins. Therefore, elucidating the behavior of a transmembrane protein in its phase-separated state is of utmost importance. Our study explores mucin behavior in the cellular milieu, aiming to determine the role of crowder chain length and excluded volume in phase separation. Confocal microscopy images demonstrate the strong partitioning of mucin into the condensed phase influenced by hydrophobic and electrostatic interactions. Fluorescence recovery after photobleaching analysis revealed increased mobility in the presence of shorter chain length crowders, indicating the dynamic behavior of protein within condensed phases. Excluded volume calculation using the theoretical model emphasizes its importance in mucin phase separation under crowded conditions. Our findings underscore the ability of mucin to phase-separate under crowded conditions, highlighting the crucial role of excluded volume and enhancing our understanding of its involvement in cancer progression.

Morphological Evaluation and Phenolic Content of Wild Prunus cerasifera Ehrh. Fruits from Slovenia

Wild fruit species offer significant nutritional, environmental, and economic benefits. Among them, Prunus cerasifera Ehrh. (myrobalan) stands out for its resilience and nutrient-rich fruits, traditionally consumed fresh or dried. This study aimed to assess the morphological and biochemical diversity of 21 wild P. cerasifera accessions from Slovenia, focusing on 18 fruit and stone traits, including size, shape, color, and phenolic compounds such as total monomeric anthocyanins and total phenolic content (TPC). The objective was to identify genotypes with potential for cultivation and food production or as parental components in breeding programs. The results showed variability in fruit length (2.19–2.82 cm), width (2.18–2.99 cm), weight (67.98–150.30 g), firmness, and juiciness, with notable differences in stone characteristics. Phytochemical analysis revealed a wide range of TPC (277–1756 mg/100 g) and anthocyanin levels (0–710 mg/100 g), with higher concentrations in darker fruits. Statistical analysis compared PAM and AGNES clustering methods, finding that PAM with five clusters and AGNES with two clusters provided similar insights. The study emphasized variability in morphological and chemical traits among clusters, with specific accessions showing particularly valuable traits, such as accession RK13, which had high TPC and anthocyanins and a non-adherent stone.

Dorsal fin height is not an effective tool to distinguish hatchery and wild steelhead in the field

AbstractObjectiveTo maximize harvest of hatchery steelhead Oncorhynchus mykiss and Pacific salmon Oncorhynchus spp. while reducing impacts to wild conspecifics, fishery managers rely on the ability of anglers to distinguish between the two. Fin erosion, including dorsal fin erosion, is a common result of hatchery rearing of juvenile salmonids. Since the 1980s, managers in the Pacific Northwest have utilized adult steelhead dorsal fin height as a regulatory control rule, requiring anglers to release steelhead with dorsal fins over a height threshold. This approach assumes that all or most hatchery fish have shorter dorsal fins than their wild counterparts. This study was designed to test this assumption.MethodsWe compared steelhead origin (hatchery or wild) determined using scale analysis and adipose fin clipping (hatchery n = 127, wild n = 71) with origin estimated using dorsal fin height.ResultOverall, a static dorsal fin height threshold (2.25 in, 5.72 cm) correctly identified 90% of hatchery‐origin steelhead but misidentified nearly half (44%) of wild fish as hatchery. Dorsal fin height of known hatchery fish correlated with fish length, indicating a weakness of using a static dorsal height threshold as a management tool. The accuracy of distinguishing wild fish improved, but only marginally (56–76%), using a classification model where dorsal fin height of known origin fish from this study was a continuous predictor of origin. In comparison, adipose fin status correctly identified 97% of unmarked fish as wild.ConclusionThe low accuracy of the classification model and static dorsal fin height thresholds at distinguishing hatchery and wild steelhead due to a strong correlation between dorsal fin height and fork length and the high fork length variability of hatchery origin fish. Given the low cost and accuracy of adipose fin clipping and the potentially high conservation risk associated with misidentification, we recommend discontinuing the use of dorsal fin height as a harvest control rule for steelhead.

Drivers of interlineage variability in mitogenomic evolutionary rates in Platyhelminthes.

Studies of forces driving interlineage variability in the evolutionary rates (both sequence and architecture) of mitochondrial genomes often produce contradictory results. Flatworms (Platyhelminthes) exhibit the fastest-evolving mitogenomic sequences among all bilaterian phyla. To test the effects of multiple factors previously associated with different aspects of mitogenomic evolution, we used mitogenomes of 223 flatworm species, phylogenetic multilevel regression models, and causal inference. Thermic host environment (endothermic vs. ectothermic) had nonsignificant impacts on both sequence evolution and mitogenomic size. Mitogenomic gene order rearrangements (GORR) were mostly positively correlated with mitogenomic size (R2 ≈ 20-30%). Longevity was not (negatively) correlated with sequence evolution in flatworms. The predominantly free-living "turbellaria" exhibited much shorter branches and faster-evolving mitogenomic architecture than parasitic Neodermata. As a result, "parasitism" had a strong explanatory power on the branch length variability (>90%), and there was a negative correlation between GORR and branch length. However, the stem branch of Neodermata comprised 63.6% of the total average branch length. This evolutionary period was also marked by a high rate of gene order rearrangements in the ancestral Neodermata. We discuss how this period of rapid evolution deep in the evolutionary history may have decoupled sequence evolution rates from longevity and GORR, and overestimated the explanatory power of "parasitism". This study shows that impacts of variables often vary across lineages, and stresses the importance accounting for the episodic nature of evolutionary patterns in studies of mitogenomic evolution.

Индивидуальная и географическая изменчивость шишек Picea obovata в российской части ареала в связи с количеством семян в них

The cone length of Picea obovata Ledeb. is closely related to the seeds quantity that causes the importance of full-scale study of this indicator. Studies were carried out in the entire Russian part of the P. obovata range from Murmansk region to Transbaikalia and Yakutia. It was found that geographical variability of cone length is relatively small (44–77 mm) and significantly inferior to individual variability (45–110 mm). The coefficient of a variation is 10 and 14%, respectively. We found that in the total population of Picea abies (L.) H. Karst. and P. obovata determined by their strong introgressive hybridization, cones of P. obovata is the category small and average. It is reasonable to distinguish an additional category of very small cones. The established categories of cones are characterized by the following length: very small 50 (54 mm and less), small 60 (55–64 mm) and medium 70 (65 mm and more). The approximate number of full seeds in them at good yields is 76 (less in extreme conditions of the Far North), 78–92 and 94–108 pieces, respectively. These figures are important for assessing the processes of spruce forest regeneration. Geographical distribution of average cone length in the studied territory it is not clearly expressed. The smallest cones are characteristic of spruce populations along Arctic Circle and in the Polar Regions, while in populations of the southern part of the range they are much larger. The majority of the Russian populations of P. obovata (about 2/3) have cones 65–70 mm long. The content of full seeds in cones is rather small.

The effects of cognitive-motor interference on walking performance in adolescents with low balance

BackgroundChildren with reduced motor competence (MC) have reported differences in their walking performance when compared to their typically developed peers, albeit, with inconsistent results.Research questions:What is the effect of reduced balance on walking performance in adolescent boys and girls under cognitive-motor interference conditions? MethodsThis cross-sectional study assessed motor competence, in adolescents aged 13–14 years, using the Movement Assessment Battery for Children 2nd edition and walking performance from gait parameters derived from an inertial measurement unit placed over the estimated centre of mass. Each participant performed two 10 m straight-line walks at their self-selected speed. These consisted of a walk with no distractions and a cognitive-motor interference walk (reciting the alternate letters of the alphabet out loud). A two-way mixed ANOVA was used to assess for significant interactions. Results365 adolescents, (low balance = 58, typical balance = 307) participated in this study (boys = 204, girls = 161). Significant interactions were reported between MC groups and walking condition for walking speed in boys (F(1,195) = 5.23, p= 0.02, ηp2 = 0.03) and girls (F(1,154) = 4.05, p= 0.046, ηp2 = 0.03). Both sexes with low balance reduced their walking speed to a greater extent than their typically developed peers under cognitive-motor interference conditions compared to the single-task walk. In addition, boys with low balance reported increased stride length variability (F(1,198)= 4.40, p= 0.037, ηp2= 0.02) compared to typically developed peers. SignificanceAdolescents with low balance report altered walking. Our data could support a better understanding of the relationship between balance and gait and may help the development of interventions to support those with difficulties.

Walking on different inclines affects gait symmetry differently in the anterior-posterior and vertical directions: implication for future sensorimotor training

A symmetric gait pattern in humans reflects near-identical movement in bilateral limbs during walking. However, little is known about how gait symmetry changes on different inclines. This study aimed to address this knowledge gap using the central pattern generator and internal model hypotheses. Eighteen healthy young adults underwent five 2-minute walking trials (inclines of +15%, +8%, 0%, −8%, and −15%). Dependent variables included step time, step length, step width, maximum heel clearance, time to peaks of maximum heel clearance, their corresponding coefficients of variation (CV), and respective symmetry indices (SI). Significant differences were observed in SI of step length (p = .022), step length variability (p &lt; .001), step width variability (p =.001), maximum heel clearance (p &lt; .001), and maximum heel clearance variability (p = .049). Compared to level walking, walking at −8% and −15% inclines increased SI of step length (p = .011, p = .039 respectively) but decreased SI of maximum heel clearance (p = .025, p = .019 respectively). These observations suggested that incline walking affected gait symmetry differently, possibly due to varied internal models used in locomotion. Downhill walking improved vertical gait symmetry but reduced anterior-posterior symmetry compared to level walking. Downhill walking may be a preferable rehabilitation protocol for enhancing gait symmetry, as it activates internal model controls. Even slight downhill inclines could increase active control loading, beneficial for the elderly and those with impaired gait.

Clustering and Classification of Time Series Sound Data

This scientific article addresses two critical tasks in data analysis—time series classification and clustering, particularly focusing on heart sound recordings. One of the main challenges in analyzing time series lies in the difficulty of comparing different series due to their variability in length, shape, and amplitude. Various algorithms were employed to tackle these tasks, including the Long Short-Term Memory (LSTM), KNN, recurrent neural network for classification and the K-means and DBSCAN methods for clustering. The study emphasizes the effectiveness of these methods in solving classification and clustering problems involving time series data containing heart sound recordings. The results indicate that LSTM is a powerful tool for time series classification due to its ability to retain contextual information over time. In contrast, KNN demonstrated high accuracy and speed in classification, though its limitations became apparent with larger datasets. For clustering tasks, the K-means method proved to be more effective than DBSCAN, showing higher clustering quality based on metrics such as silhouette score, Rand score, and others. The data used in this research were obtained from the UCR Time Series Archive, which includes heart sound recordings from various categories: normal sounds, murmurs, additional heart sounds, artifacts, and extra systolic rhythms. The analysis of results demonstrated that the chosen classification and clustering methods could be effectively used for diagnosing heart diseases. Furthermore, this research opens up new opportunities for further improvement in data processing and analysis methods, particularly in developing new medical diagnostic tools. Thus, this work illustrates the effectiveness of machine learning algorithms for time series analysis and their significance in improving cardiovascular disease diagnosis.

Preliminary Evidence That Design Fluency Is Related to Dual-Task Treadmill Gait Variability in Healthy Adults.

Evidence supporting a link between gait and cognition is accumulating. However, the relation between executive functioning and spatiotemporal gait parameters has received little attention. This is surprising since these gait variables are related to falls. The goal of this preliminary study was to determine whether performance on measures of inhibition, reasoning, and fluency is related to variability in stride length and step width during dual-task treadmill walking in a sample of healthy adults. Nineteen healthy adults averaging 40 years of age were evaluated. Results indicated that processing speed was reduced, t(18) = 6.31, p = 0.0001, step width increased, t(18) = -8.00, p = 0.0001, and stride length decreased, t(18) = 3.06, p = 0.007, while dual tasking, but variability in gait parameters did not significantly change, consistent with a gait/posture-first approach. As hypothesized, better performance on a visual design fluency task which assesses cognitive flexibility was associated with less dual-task stride length variability, rs (17) = -0.43, p = 0.034, and step width variability, r = -0.56, p = 0.006. The results extend previous findings with older adults walking over ground and additionally suggest that cognitive flexibility may be important for gait maintenance while dual tasking.