Autonomic Profile Research Articles

Pre-pandemic autonomic function as a predictor of the COVID clinical course in young adults.

Long coronavirus disease (COVID) is emerging as a common clinical entity in the current era. Autonomic dysfunction is one of the frequently reported post-COVID complications. We hypothesize a bi-directional relationship between the autonomic function and the COVID course. This postulation has been inadequately addressed in the literature. A retrospective cohort (pre and post-comparison) study was conducted on 30 young adults whose pre-COVID autonomic function test results were available. They were divided into case and control groups based on whether they tested reverse transcription polymerase chain reaction positive for COVID-19. Autonomic function tests were performed in both the case and control groups. COVID infection in healthy young adults shifts the sympatho-vagal balance from the pre-disease state. Postural orthostatic tachycardia syndrome was present in 35% of the COVID-affected group. COVID course parameters were found to be associated with parasympathetic reactivity and the baroreflex function. Baseline autonomic function (parasympathetic reactivity represented by Δ heart rate changes during deep breathing and 30:15 ratio during lying-to-standing test) was also associated with the COVID course, the post-COVID symptoms and the post-COVID autonomic function profile. Additionally, multiple regression analysis found that the baseline parasympathetic reactivity was a very important determinant of the clinical course of COVID, the post-COVID symptoms and the post-COVID autonomic profile. Sympatho-vagal balance shifts to parasympathetic withdrawal with sympathetic predominance due to COVID infection in healthy young adults. There is a bi-directional relationship between the autonomic function and the COVID course.

Transtheoretical model of behavior change and motivational profiles among University of Baguio students using fitness applications

Introduction: This study aims to determine how the motivational profile affects the behavior change of fitness application users in terms of adopting regular physical activity. Methods: The study utilized a descriptive correlation method design to determine the variations of the motivational regulations of fitness application users. A total of 204 college students were respondents, wherein 57 were male, and 147 were female. Respondents were of legal age, undergraduates, and have used or are using physical fitness applications. Respondents answered the questionnaire online in their free time. Data collected were subjected to tabulation, averaging, and Fisher’s Exact Test. Results: The study found no noticeable difference between genders in terms of the motivational regulations comprising their motivational profile and the distribution of users along the stages of the Transtheoretical Model of Behavior Change. Intrinsic and identified regulations were found to be high amongst the respondents (Intrinsic = 5.62; Identified = 5.31), while their external regulation was low (External = 2.51). Data suggest that the motivational profile of fitness application users is found to be autonomous. Moreover, there is a highly significant relationship between identified regulation and exercise behavior change along the preparation or action stages (p = 0.001). A significant relationship between intrinsic regulation and the preparation or action stage of exercise behavior change is also established (Fisher’s Exact Test, p = 0.016). Discussion: The motivational profiles of fitness application users are favorable in adopting regular physical activity. Promotion and encouragement of the established autonomous motivational profile can help people seriously consider starting exercise as it increases one’s likelihood of sustaining interest and motivation to achieve and maintain higher stages of exercise behavior.

Cardiac autonomic control in Rett syndrome: Insights from heart rate variability analysis.

Rett syndrome (RTT) is a rare and severe neurological disorder mainly affecting females, usually linked to methyl-CpG-binding protein 2 (MECP2) gene mutations. Manifestations of RTT typically include loss of purposeful hand skills, gait and motor abnormalities, loss of spoken language, stereotypic hand movements, epilepsy, and autonomic dysfunction. Patients with RTT have a higher incidence of sudden death than the general population. Literature data indicate an uncoupling between measures of breathing and heart rate control that could offer insight into the mechanisms that lead to greater vulnerability to sudden death. Understanding the neural mechanisms of autonomic dysfunction and its correlation with sudden death is essential for patient care. Experimental evidence for increased sympathetic or reduced vagal modulation to the heart has spurred efforts to develop quantitative markers of cardiac autonomic profile. Heart rate variability (HRV) has emerged as a valuable non-invasive test to estimate the modulation of sympathetic and parasympathetic branches of the autonomic nervous system (ANS) to the heart. This review aims to provide an overview of the current knowledge on autonomic dysfunction and, in particular, to assess whether HRV parameters can help unravel patterns of cardiac autonomic dysregulation in patients with RTT. Literature data show reduced global HRV (total spectral power and R-R mean) and a shifted sympatho-vagal balance toward sympathetic predominance and vagal withdrawal in patients with RTT compared to controls. In addition, correlations between HRV and genotype and phenotype features or neurochemical changes were investigated. The data reported in this review suggest an important impairment in sympatho-vagal balance, supporting possible future research scenarios, targeting ANS.

Passive acoustic exploration of the ocean

Encoded in the spectral density, spatial variability, and directionality (spatial coherence) of the ambient sound field is information on the generation mechanisms of sound and the properties of the ocean propagation environment and its boundaries. Through field and observatory measurements, and analytical and computational models of the underwater sound field, a research program has been pursued that asks, “What can we learn about the ocean by listening?” Large acoustic data sets have been exploited to develop an estimate of the effective source level per unit area of surface generated noise. In complement, a methodology for precisely partitioning the sound field into ship generated and wind generated components by exploiting the vertical noise directionality has been demonstrated. Models of the spatial properties of wind driven and ship generated sound have further been used to estimate the geoacoustic properties of the seabed, the depth of mix layer, depth-averaged pH, and localize a source in bearing and azimuth using only a pair of vertically oriented omnidirectional hydrophones. An autonomous passive acoustic profiler, The Deep Acoustic Lander (DAL), recently made measurements of the ambient sound field from the surface to the bottom of the Challenger Deep, Mariana Trench, precisely determining the mixing of a locally- and distantly generated contributions to the sound field. Meanwhile, DAL measurements at the Endeavour hydrothermal vent field have revealed components of the sound field generated by vent activity.

Scripps Argo Trajectory-Based Velocity Product: Global Estimates of Absolute Velocity Derived from Core, Biogeochemical, and Deep Argo Float Trajectories at Parking Depth

Abstract Global estimates of absolute velocities can be derived from Argo float trajectories during drift at parking depth. A new velocity dataset developed and maintained at Scripps Institution of Oceanography is presented based on all Core, Biogeochemical, and Deep Argo float trajectories collected between 2001 and 2020. Discrepancies between velocity estimates from the Scripps dataset and other existing products including YoMaHa and ANDRO are associated with quality control criteria, as well as selected parking depth and cycle time. In the Scripps product, over 1.3 million velocity estimates are used to reconstruct a time-mean velocity field for the 800–1200 dbar layer at 1° horizontal resolution. This dataset provides a benchmark to evaluate the veracity of the BRAN2020 reanalysis in representing the observed variability of absolute velocities and offers a compelling opportunity for improved characterization and representation in forecast and reanalysis systems. Significance Statement The aim of this study is to provide observation-based estimates of the large-scale, subsurface ocean circulation. We exploit the drift of autonomous profiling floats to carefully isolate the inferred circulation at the parking depth, and combine observations from over 11 000 floats, sampling between 2001 and 2020, to deliver a new dataset with unprecedented accuracy. The new estimates of subsurface currents are suitable for assessing global models, reanalyses, and forecasts, and for constraining ocean circulation in data-assimilating models.

A turbulence data reduction scheme for autonomous and expendable profiling floats

Abstract. Autonomous and expendable profiling-float arrays such as those deployed in the Argo Program require the transmission of reliable data from remote sites. However, existing satellite data transfer rates preclude complete transmission of rapidly sampled turbulence measurements. It is therefore necessary to reduce turbulence data on board. Here we propose a scheme for onboard data reduction and test it with existing turbulence data obtained with a modified SOLO-II profiling float. First, voltage spectra are derived from shear probe and fast-thermistor signals. Then, we focus on a fixed-frequency band that we know to be unaffected by vibrations and that approximately corresponds to a wavenumber band of 5–25 cpm. Over the fixed-frequency band, we make simple power law fits that – after calibration and correction in post-processing – yield values for the turbulent kinetic energy dissipation rate ϵ and thermal-variance dissipation rate χ. With roughly 1 m vertical segments, this scheme reduces the necessary data transfer volume 300-fold to approximately 2.5 kB for every 100 m of a profile (when profiling at 0.2 m s−1). As a test, we apply our scheme to a dataset comprising 650 profiles and compare its output to that from our standard turbulence-processing algorithm. For ϵ, values from the two approaches agree within a factor of 2 87 % of the time; for χ, they agree 78 % of the time. These levels of agreement are greater than or comparable to that between the ϵ and χ values derived from two shear probes and two fast thermistors, respectively, on the same profiler.

Analysis of body composition and autonomic function of the heart of schools from northern Mexico by gender

Normative values of body composition (CC) and autonomic profile of Mexican schoolchildren are presented. The design corresponds to a study with a quantitative, descriptive approach. The CC was determined using the Poortmans and Slaughter equation, the HRV was in records of short duration. Significant differences were found in muscle mass when comparing: 13.13 ± 3.57kg for women vs 15.79 ± 3.50kg for men with a significance of p = .01. The autonomic profile did not show significant differences, the mean of the mean R-R intervals (MRR) was 616.16 ± 81.52 ms in girls and 611 ± 72.27 ms in boys.

Uncharted pathways of the Southern Ocean’s sink of carbon dioxide

Uncharted pathways of the Southern Ocean’s sink of carbon dioxide The Southern Ocean sequesters vast amounts of carbon and heat from the atmosphere, thereby mitigating climate warming. This exchange occurs mainly during winter when intense mixing brings large volumes of deep water into contact with the atmosphere. SO-CUP investigates the magnitude and drivers of carbon uptake with novel wintertime observations made available recently with the deployment of autonomous profiling floats.

Twenty years of ocean observations with China Argo.

The international Argo program, a global observational array of nearly 4 000 autonomous profiling floats initiated in the late 1990s, which measures the water temperature and salinity of the upper 2 000 m of the global ocean, has revolutionized oceanography. It has been recognized one of the most successful ocean observation systems in the world. Today, the proposed decade action "OneArgo" for building an integrated global, full-depth, and multidisciplinary ocean observing array for beyond 2020 has been endorsed. In the past two decades since 2002, with more than 500 Argo deployments and 80 operational floats currently, China has become an important partner of the Argo program. Two DACs have been established to process the data reported from all Chinese floats and deliver these data to the GDACs in real time, adhering to the unified quality control procedures proposed by the Argo Data Management Team. Several Argo products have been developed and released, allowing accurate estimations of global ocean warming, sea level change and the hydrological cycle, at interannual to decadal scales. In addition, Deep and BGC-Argo floats have been deployed, and time series observations from these floats have proven to be extremely useful, particularly in the analysis of synoptic-scale to decadal-scale dynamics. The future aim of China Argo is to build and maintain a regional Argo fleet comprising approximately 400 floats in the northwestern Pacific, South China Sea, and Indian Ocean, accounting for 9% of the global fleet, in addition to maintaining 300 Deep Argo floats in the global ocean (25% of the global Deep Argo fleet). A regional BGC-Argo array in the western Pacific also needs to be established and maintained.

Fine Structure of Vertical Density Distribution in the Black Sea and Its Relationship with Vertical Turbulent Exchange

This paper is concerned with the analysis of the long-term regular time series of current velocity and conductivity, temperature, and depth (CTD) profiles, measured with the moored autonomous profiler Aqualog over the upper part of the continental slope at a fixed geographical location in the Northeastern Black Sea. This study focuses on the fine structure of the density profiles to show that the fine-structure Cox number (C) is a power function of the Richardson number (Ri). A similar inverse power relationship with the same exponent was found earlier for the coefficient of vertical turbulent mass exchange (Kρ) and Ri. Based on those results, the analysis indicated a statistically significant correlation between C and Kρ, which suggests that the estimations of Kρ could be conducted from the CTD data only.

САМОРЕГУЛЯЦІЯ НАВЧАЛЬНО-ПРОФЕСІЙНОЇ ДІЯЛЬНОСТІ КУРСАНТІВ: ТИПОЛОГІЯ ТА ПСИХОЛОГІЧНІ ОСОБЛИВОСТІ ПРОЯВУ

The purpose is to determine the typological features of academic self-regulation of cadets and their role in the manifestation of the student’s psychological capital, psycho-emotional states, subjective perception of stressors of educational activity. Methods. Theoretical (analysis, synthesis, comparison, abstraction, generalization, systematization of scientific literature on studying the peculiarities of self-regulation of students and cadets); empirical: the method “Psychological capital of the student” (Luthans, Youssef & Avoli, 2007), the method of express evaluation of positive and negative emotionality “Scale of positive affect and negative affect” (SPANA) (is a modification of the English-language method PANAS (Positive and Negative Affect Schedule) D. Watson, L. Clark and A. Telegen, Ukrainian language version L. Zhdanyuk), the technique “Pressings the student’s educational activity” by M. Kuznetsov. Results. Five typological profiles of academic self-regulation of cadets were obtained – “Autonomous”, “Dependent”, “Moderately dependent”, “Introjected” and “Motivated”. There are statistically significant differences in the indicators of psychological capital among cadets with different typological profiles – “Autonomous profile” cadets have the highest psychological capital, “Motivated” – the lowest. Positive affect in classes is characteristic of cadets with the “Dependent profile” to a greater extent, and the least – with “Motivated”. There were no statistically significant differences in the indicators of learning pressures among cadets with different profiles of academic self-regulation. Conclusions. Academic self-regulation is shown as an important condition for the success of the cadets’ educational and professional activities and their psychological well-being during mastering the future profession, which affects the enrichment of psychological capital and the experience of favorable psychoemotional states in classes that coincide with the purpose of educational activities. The dominance of internal self-regulation and identified regulation has a positive effect on the psychological capital of cadets, on the other hand, low motivation for learning predicts a decrease in affect and psychological capital. Unlike students, cadets’ dominance in the regulatory profile of external regulation has a positive effect on psycho-emotional states at work, which is due to the higher role of external reinforcement in the process of self-organization in their educational and professional activities.

Lake stability and anoxia dynamics revealed from high frequency vertical profiling in a eutrophic polymictic reservoir

ABSTRACT High-frequency water quality monitoring is rapidly growing in freshwater research and management. Sensor deployments at fixed depths in naturally formed lakes dominate the current understanding of ecosystem dynamics, with comparatively few studies focusing on reservoirs. Here we examined how environmental parameters affect the water column stability and dissolved oxygen (DO) dynamics in a North Texas eutrophic reservoir. We used an autonomous water quality monitoring profiler that recorded temperature, DO, and pH as well as wind speed, wind direction, and air temperature from an on-platform mounted weather station. Data were collected every 2 h from 25 April to 29 October 2019, with each profile spanning from the surface to 10 m depth at 0.5 m steps. Throughout most of the sampling period, the lake had no distinct thermocline, but we observed an oxycline throughout most of the monitoring period, with multiple mixing events. Near the sediments, periods of anoxia lasting hours to days were first observed in May, and July through September were chronically anoxic. In August and September, DO was frequently <2.0 mg L−1 throughout the entire water column, with 2 periods of total water column anoxia. Surface DO measurements for each 2 h interval were highly synchronous with Schmidt stability. During decreasing and low Schmidt stability or Lake Number, the oxycline destabilized in association with changes in wind direction and speed. Our results indicate that DO can be highly dynamic in polymictic reservoirs, with strong implications for carbon and nitrogen biogeochemical cycles.

Non-photochemical quenching estimates from in situ spectroradiometer measurements: implications on remote sensing of sun-induced chlorophyll fluorescence in lakes.

Quantum yield of fluorescence (ϕF) is key to interpret remote measurements of sun-induced fluorescence (SIF), and whether the SIF signal is governed by photochemical quenching (PQ) or non-photochemical quenching (NPQ). Disentangling PQ from NPQ allows using SIF estimates in various applications in aquatic optics. However, obtaining ϕF is challenging due to its high temporal and physiological variability, and the combined measurements needed to enclose all relevant optical paths. In inland waters, this type of data is scarce and information on diurnal and seasonal ϕF dynamics are almost unknown. Using an autonomous hyperspectral Thetis profiler in Lake Geneva, we demonstrate how to estimate ϕF using an ensemble of in-situ measurements acquired between 2018 to 2021. We use vertical and temporal changes in retrieved ϕF to determine NPQ and PQ conditions. We observed NPQ in 36% of the total daytime profiles used in the ϕF analysis. While downwelling irradiance is a significant contributor to ϕF, its role cannot be easily interpreted. Other factors such as phytoplankton photoregulation and assemblages also likely play significant roles in quenching mechanisms. We conclude that an adapted approach exploiting in-situ data is suitable to determine diurnal and seasonal NPQ occurrence, and helps develop future remote sensing algorithms.

Evaluation of adaptogenic activity of Neurotip capsules by swimming endurance and chronic stress model

Stress is the disturbed homeostatic condition of the organism, and it is represented by non-specific response of the body to any demand imposed on it. Stress brings various changes in physiological condition of the organism, but various mechanism of the body will counteract to maintain homeostasis. Neurotip capsule is effective Ayurvedic treatment for stress related disorders. Neurotip capsules have unique combination of herbs like Jatamansi, Guduchi, Shankapushpi, Ashwagandha, and Probiotics. These herbs are known to sooth the mind, promote calmness and act as a stress buster. In present research study Neurotip formulation was screened for acute toxicity study and sub chronic oral toxicity study on adult albino mice. Animals were observed for behavioural changes, neurological changes and autonomic profile changes. There was no noticeable toxicity and death observed in animals when treated with highest dose of 5000mg/ kg of the formulation. Neurotip was tested on swimming endurance of mice. The results were compared with standard group treated with Geriforte. Test formulation was evaluated by chronic stress model in rats using Omeprazole as standard drug. Assessment of ulcer induction was done to check adaptogenic potential of Neurotip. Ulcer protection by test formulation was found to be 68.44% showing good antistress effects.

International financial integration and economic growth in developing and emerging economies: an empirical investigation

This paper explores the relationship between international financial integration (IFI), external vulnerability and economic growth. It proposes a taxonomy of typical IFI profiles and applies it to a sample of 90 developing and emerging economies (DEEs) for the 1992–2016 period using a dynamic panel data model. Drawing from a Post Keynesian and Structuralist analytical framework, it argues that what matters for economic growth is less the degree of IFI per se and more the profile, or “quality,” of this integration. The results suggest that DEEs which succeed in integrating into global financial markets under a more balanced and autonomous profile may experience, at best, negligible benefits for economic growth, while a more financially dependent and vulnerable profile exacerbates the risks of financial globalization, undermining growth in the long run. Moreover, the growth path in the latter tends to be more affected by external financial shocks, even though systemic shocks also impact the former.

What makes a student feel vital? Links between teacher-student relatedness and teachers’ engaging messages

Recent studies suggest that teacher messages can affect students’ well-being. Using a multilevel, variable, and person-centred approach, this study aimed to identify profiles of students according to their teachers’ use of engaging messages and analyse the relation among these profiles and teacher-student relatedness and students’ subjective vitality. A total of 1209 students participated in the study. At the student-level, profile analysis indicated the existence of four different profiles: the few messages profile, the autonomous motivational appeals profile, the loss-framed messages profile, and the gain-framed messages profile. At the teacher level, profile analysis indicated the existence of two profiles: the variant and the invariant profiles. Results showed that overall, at both levels of analysis, teachers’ engaging messages related with teacher-student relatedness (either positively or negatively) with clear differences among profiles. Moreover, also at both levels of analysis, teacher-student relatedness related with students’ subjective vitality. Main findings and implications for practice are discussed.

The Ocean's Biological Pump: In Situ Oxygen Measurements in the Subtropical Oceans

AbstractThe magnitude and distribution of the ocean's biological pump (the downward flux of organic carbon (OC) from the ocean surface) influences the pCO2 of the atmosphere and the O2 content of the deep sea, but has not been well quantified. We determine this flux in the ocean's five subtropical gyres using upper‐ocean oxygen mass balance and measurements of T, S, and pO2 by autonomous profiling floats. Our results suggest that the biological OC pump is not globally uniform among the subtropical gyres: values in the North Pacific and Atlantic indicate distinct autotrophy (1–2 mol C m−2 yr−1) while near zero values in the S. Indian Ocean suggest the possibility of net heterotrophy. There is a correlation between the surface water iron/nitrate ratio and the magnitude of the biological pump suggesting an important role for nitrogen fixation in controlling the global distribution.

High-Sensitivity MEMS Shear Probe for Autonomous Profiling Observation of Marine Turbulence

Autonomous profiling observation of full-depth marine turbulence is very important for ocean research. Anisotropic turbulence near the boundary layer needs to be observed well. However, there is lack of high-spatial-resolution and high-sensitivity methods to fulfill vector turbulence observation. Hence, a highly sensitive bullet-headed MEMS shear probe for observing ocean vector turbulence is developed in this manuscript. The sensing mechanism, design and fabrication are demonstrated in detail. In order to meet the bandwidth requirements for observing ocean turbulence, we perform wet-mode simulations of probe structure to achieve an eigenfrequency of 490 Hz. Through sensitivity calibration experiments, it achieves a sensitivity of 4.84 × 10−2 V·m·s2/kg, which is much higher than those of shear probes reported previously. In addition, the vector test validates that the probe can measure ocean vector turbulence. The results show that the proposed probe is promising in autonomous profiling observation of marine turbulence.

The Relationship between Daily Physical Activity, Psychological Factors, and Vegetative Symptoms in Women with Fibromyalgia: A Cross-Sectional Observational Study.

Nowadays, there is evidence that relates the amount of physical activity, as well as the impact of psychological factors, to the intensity of symptoms present in patients with fibromyalgia (FM). However, there are no studies which correlate the level of association of physical activity, psychological factors and vegetative symptoms in the FM population. The study has a cross-sectional observational design with 41 participants being recruited from a private clinic and rehabilitation service. The Autonomic Symptom Profile (Compass-31) to assess vegetative symptoms, the GODIN questionnaire to evaluate the level of leisure activity, and the pain catastrophizing scale, Tampa Kinesiophobia Scale and Self-Efficacy Scale to assess psychological factors, were used. A low and significant level of association was found between pain catastrophizing (PCS) and Kinesiophobia (r = 0.398; p < 0.01), as well as with catastrophizing and vegetative symptoms (r = 0.428; p < 0.05). Furthermore, a low and significant level of association was also found between self-efficacy and vegetative symptoms (r = 0.397; p < 0.05). No association was found between the level of daily physical activity (measured by the Godin Leisure questionnaire) and vegetative symptoms, nor with any psychological factor studied. There is an association between vegetative symptoms and psychological factors. Nevertheless, more research which takes other factors into account, such as lifestyle and nutritional, is needed.

Validation of Remote-Sensing Algorithms for Diffuse Attenuation of Downward Irradiance Using BGC-Argo Floats

Estimates of the diffuse attenuation coefficient (Kd) at two different wavelengths and band-integrated (PAR) were obtained using different published algorithms developed for open ocean waters spanning in type from explicit-empirical, semi-analytical and implicit-empirical and applied to data from spectral radiometers on board six different satellites (MODIS-Aqua, MODIS-Terra, VIIRS–SNPP, VIIRS-JPSS, OLCI-Sentinel 3A and OLCI-Sentinel 3B). The resultant Kds were compared to those inferred from measurements of radiometry from sensors on board autonomous profiling floats (BGC-Argo). Advantages of BGC-Argo measurements compared to ship-based ones include: 1. uniform sampling in time throughout the year, 2. large spatial coverage, and 3. lack of shading by platform. Over 5000 quality-controlled matchups between Kds derived from float and from satellite sensors were found with values ranging from 0.01 to 0.67 m−1. Our results show that although all three algorithm types provided similarly ranging values of Kd to those of the floats, for most sensors, a given algorithm produced statistically different Kd distributions from the two others. Algorithm results diverged the most for low Kd (clearest waters). Algorithm biases were traced to the limitations of the datasets the algorithms were developed and trained with, as well as the neglect of sun angle in some algorithms. This study highlights: 1. the importance of using comprehensive field-based datasets (such as BGC-Argo) for algorithm development, 2. the limitation of using radiative-transfer model simulations only for algorithm development, and 3. the potential for improvement if sun angle is taken into account explicitly to improve empirical Kd algorithms. Recent augmentation of profiling floats with hyper-spectral radiometers should be encouraged as they will provide additional constraints to develop algorithms for upcoming missions such as NASA’s PACE and SBG and ESA’s CHIME, all of which will include a hyper-spectral radiometer.