Standard Measures Research Articles

Advances in mechanotransduction and sonobiology: effects of audible acoustic waves and low-vibration stimulations on mammalian cells

AbstractIn recent decades, research on mechanotransduction has advanced considerably, focusing on the effects of audible acoustic waves (AAWs) and low-vibration stimulation (LVS), which has propelled the field of sonobiology forward. Taken together, the current evidence demonstrates the influence of these biosignals on key cellular processes, such as growth, differentiation and migration in mammalian cells, emphasizing the determining role of specific physical parameters during stimulation, such as frequency, sound pressure level/amplitude and exposure time. These mechanical waves interact with various cellular elements, including ion channels, primary cilia, cell–cell adhesion receptors, cell–matrix and extracellular matrix proteins, and focal adhesion complexes. These components connect with the cytoskeletal fibre network, enabling the transmission of mechanical stimuli towards the nucleus. The nucleus, in turn, linked to the cytoskeleton via the linkers of the nucleoskeleton and cytoskeleton complex, acts as a mechanosensitive centre, not only responding to changes in cytoskeletal stiffness and nuclear tension but also regulating gene expression through the transcriptional co-activator YAP/TAZ and interactions between chromatin and the nuclear envelope. This intricate chain of mechanisms highlights the potential of sonobiology in various fields, including dentistry, regenerative medicine, tissue engineering and cancer research. However, progress in these fields requires the establishment of standardized measurement methodologies and biocompatible experimental setups to ensure the reproducibility of results.

A microsimulation study of COVID-19‘s impact on household welfare in Ethiopia

ABSTRACT Our study aims to analyze and learn from the unanticipated economic shocks caused by the COVID-19 pandemic. We examine the ramifications of the pandemic on household well-being in Ethiopia, uncovering the layers of socio-economic impact through a rigorous microsimulation exercise. Drawing on robust data from the 2018/19 Living Standards Measurement Study – Integrated Surveys on Agriculture, we assess the significant disruptions caused by the pandemic. Our findings reveal a 2 to 4 percentage point increase in the poverty rate within the first three months, driven largely by shifts in direct incomes and food prices. The analysis highlights differential impacts across rural and urban areas, as well as between male- and female-headed households. Moreover, the study underscores the vital role of social protection programs in mitigating the effects of such shocks.

EXPLORING THE RELATIONSHIP BETWEEN RAINFALL AND CROP YIELD AND BEST PRACTICES ADOPTION USING PARTICIPATORY APPROACH.

Crop yield is a standard measurement for the amount of agricultural production. Sustainable agriculture demands an increase in crop yield. This study deals with rainfed agriculture; hence, precipitation becomes the driving factor for crop yield. Heat maps are used to examine the rainfall and crop yield correlations. ML is an essential tool in decision-making, and many ML algorithms are available for prediction. This study uses the ML algorithms to predict whether the crop yield will increase with increased rainfall. Logistic regression, Decision tree classifier, Random Forest classifier, and XGBoost classifier are the algorithms chosen for analysis. Altogether this region consists of forty crops but focuses on five predominant annual crops. Implementation-based results are the universal goal of every research which society needs. The chances of implementation are associated with two major components: the reliability of the results and society's willingness. Analysis of these components needs ground truthing and Participatory Rural Appraisal, respectively. Farmers and villagers filled out a questionnaire about the details required for this study. The survey was an active approach to collecting necessary information from the participants. The survey showed positive results among one hundred and fifty samples from six blocks. Finally, cashew nut, sugarcane, and turmeric showed good dependency on the precipitation, and around 88% of villagers are ready to implement the results derived from ML algorithms.

An alternate to accumulated oxygen deficit (AOD) for measuring anaerobic contribution: 'AOD_alt' is valid in normoxia and hypoxia.

The gold standard measure of anaerobic contribution is accumulated oxygen deficit (AOD). The purpose of this study was to investigate the validity of an alternate measure, AOD_alt. AOD_alt is the sum of the phosphocreatine and glycolytic contributions, which are estimated from post-exercise oxygen uptake and blood lactate concentration, respectively. In Study One, six women and three men performed 6-min bouts of heavy intensity cycle ergometer exercise, once in normoxia (FIO2 ~ 21%) and twice under hypoxic conditions (FIO2 ~ 15% and ~ 12%). In Study Two, four women and two men performed severe intensity tests to exhaustion, once in normoxia (~ 10min) and twice in hypoxia (FIO2 ~ 15% and ~ 10%). Physiological responses were measured during exercise and 7min of recovery. In 6min of heavy exercise, Study One, the alternate and criterion measures of anaerobic contribution (AOD_alt and AOD) were correlated, in normoxia and in hypoxia. In exhaustive severe exercise, Study Two, AOD_alt and AOD were correlated (r = 0.77) and similar, in normoxia and at FIO2 ~ 15%. However, AOD_alt and AOD values were neither correlated (r = 0.27) nor similar (57 ± 5mL·kg-1 vs 51 ± 7mL·kg-1) at FIO2 ~ 10%. These results confirm the validity of AOD_alt as a measure of anaerobic capacity in severe intensity exercise, demonstrate its validity in heavy exercise, and assert its validity in conditions of hypoxia (FIO2 ~ 12%).

Investigation and comparison of heat pump noise in the lab and field

The presentation covers a contribution from the publicly funded HP-QUEEN MENESA project on the characterisation of a heat pump in the laboratory with comparisons in the field at comparable operation conditions. The data in the lab are obtained from a hemi-anechoic chamber that is equipped with temperature control to allow standardized measurements at -7 °C and 7 °C, for example. In this environment spherical sound radiation pattern are determined on a movable hemi-circle microphone arrangement allowing the assessment of source location and radiation contribution as well as sound power determination at the different operation points of the heat pump. These data are compared and analysed to measurements with the same heat pump in the field at model houses at the Fraunhofer-IBP location in Holzkirchen. Furthermore, we are also investigating the transmission path from the noise of the heat pump outdoors into the building taking sound reduction index of i.e., windows into account. It is planned to connect a psychoacoustic analysis together with a questionnaire to these investigations that allows assessment of the final sound characteristics inside the building.

Design, optimization and validation of a small cabin for standardized objective measurements of earmuffs and earplugs on artificial head (ATF) according to ISO4869-3

The attenuation of hearing protection devices is currently mainly measured using the REAT (ISO 4869-1) standardized subjective method. However, during the development step, manufacturers need to carry out a numerous tests quickly making the REAT method unsuitable due to its need of a large number of subjects with associated training time and represents a significant cost. As an alternative, the standardized objective method (ISO 4869-3) uses an artificial head (ATF) in a controlled acoustic environment. Delta Plus called on CTTM to provide a test facility compliant with the 4869-3 standard, and designed with reduced dimensions to fit easily into its test laboratory. The presented work describes the steps of design, development and validation of a measuring cabin meeting these requirements. The search for a suitable geometry for the cabin volume is based on numerical modeling using boundary elements. The cabin, built using this initial approach, is then empirically optimized using different types of diffusers to meet sound field homogeneity criteria. Comparisons of measurements made using both subjective (ISO 4869-1) and objective (ISO 4869-3) methods are presented at the end.

Sound Source Localization at the Rolling Tire

A vehicle's tire rolling on pavement causes complex noise generating mechanisms which are a dominant sub-source of vehicle traffic noise. For the quantification of noise levels due to these tire-pavement interactions, standardized acoustic measurement methods exist, such as the Close-Proximity (CPX) method. These methods require microphones mounted near a rolling tire. However, they do not provide insight in the distribution and amplitudes of present sound sources. In this contribution, we aim at identifying the dominant sound sources of the rolling tire at discrete frequencies. This is accomplished by an inverse method combining microphone array measurements and Finite Element (FE) simulations. The microphone measurements were recorded on Austrian highways with a large measurement trailer built for research purposes. With the considered inverse method, not only the amplitudes of the dominant sound sources but also their phases can be identified. With these identified sources and a validated FE model of the measurement trailer, the sound pressure field within the trailer may be computed. The thereby calculated sound pressure is compared to measurements at the CPX microphone positions and other locations within the trailer.

Development of acoustic impedance tube system using 3D printing and finite element analysis

This study aims to demonstrate and provide a practical guide on correctly designing, fabricating, and verifying the acoustic impedance tube system. Many parts required to build this tube system were uniquely designed and 3D printed, such as the driver case, specimen holder, microphone holder, etc. In addition, this acoustic tube is designed to meet three functions: standard sound absorption measurement, in-situ measurement, and microphone mismatch measurement. Various types of specimens are tested to verify the accuracy of the measurement and how it compares to the poroelastic theoretical models and FEM models. To estimate the poroelastic parameters, measurement and FEM models were used to run the optimization process. The validation study shows good agreement in all three cases: measurement, the poroelastic model, and the FEM model.

Application scenarios and opportunities of autonomous pass-by measurements

Traditionally, pass-by measurements of vehicles were performed manually along the roadside. Recent developments allow for such measurements to be performed autonomously. Without the labour-intensive need of a measurement engineer at the spot, a variety of new applications for pass-by measurements become apparent. Beyond the application of the standardized SPB-measurement, a continuous and autonomous measurement of single vehicles can be used to detect high noise emitters. E.g., so-called posers or motorcycles increase the annoyance of inhabitants significantly. The detection of these single events is an important step to advance noise protection. Furthermore, the steady collection of data leads to numerous opportunities to describe and categorize vehicle and road noise. It can be used to further investigate the change of the acoustic properties of the roads in detail as well as those of the vehicles. The ongoing electrification of the vehicle fleet and the resulting changes in the noise behaviour can be scientifically tracked in real time. This progression affects next to the engine type (and sound) also the driving behaviour, the used tyres on the vehicle, and more. A continuous collection of pass-by measurements will deliver an increased understanding of the different influential factors of the vehicle-road-interaction.

Wall sound insulation measurement in laboratory according to iso 10140-2 standard and sound insulation measurement on the same wall with electrical and telephone sockets

Study related to the measurement of acoustic insulation R to sand and cement block wall with flattening on both sides, which was built inside a Transmission Chamber in accordance with the ISO 10140-2 standard. Subsequently this wall is slotted, placing Conduits, accessories for illumination, electrical and telephone sockets on both sides, finally covering all these installations with products that make it appear that the wall is intact, then the measurement of its acoustic insulation R and Rw is carried out. The results indicate variations that can be very annoying for residents on both sides of the wall, highlighting the lack of sealing into the Conduits, the choice of materials, location of sockets and construction procedures, etc.

Microaggressions among staff in higher education: Examining differences by social identities, and the association with job satisfaction

Microaggressions are everyday slights or insults directed toward members of marginalized groups; microaggressions are harmful, even if unintentional, and they occur in various contexts including the workplace. However, there is limited research on microaggressions among staff in higher education. The first aim of this study was to obtain systematic reports of experiences of microaggressions and other forms of discrimination among staff at a large public university. The second aim was to test for differences in these experiences as a function of staff members’ race/ethnicity, gender identity, sexual orientation, and disability status. A third aim was to examine whether microaggression and discrimination predicted job satisfaction. Web-based survey data were collected from a diverse sample of 680 university staff members. The survey included adapted versions of two scales on microaggressions and standard measures of everyday and workplace discrimination. Results indicated that experiences of microaggressions and discrimination were common among staff, and differed by race/ethnicity, gender identity, sexual orientation, and disability status, with those of marginalized identities reporting significantly more negative experiences. Finally, more frequent experiences of microaggressions and workplace discrimination predicted lower job satisfaction. These findings indicate a need for education on microaggressions pertaining to campus climate improvement in institutions of higher education.

Consideration on the efficient calibration method for low-cost microphones

Current microphone calibration methods in the international standards are basically targeting laboratory and working standard microphones specified in the IEC 61094-2 and IEC 61094-4, respectively. These methods are promising to ensure the reliability however there are many difficulties in applying it to low-cost acoustic sensors such as MEMS microphones, which are rapidly becoming widespread, with aspects of time and cost. Moreover, since the installation conditions for these low-cost microphones are different from those of standardized measurement microphones, calibration methods that take these usage conditions into consideration are required. As potential methods to overcome the problems, the feasibility of the active coupler method applicable to surface mounted condition and the bulk calibration method in the reverberation room are investigated. Both proposed methods can be applied under actual installation conditions and enable rapid and cost-efficient calibration. In this study, methods and procedures for securing traceability are proposed, and uncertainty evaluation is conducted.

Phenotypes based on respiratory drive and effort to identify the risk factors when P0.1 fails to estimate ∆PES in ventilated children.

Monitoring respiratory effort and drive during mechanical ventilation is needed to deliver lung and diaphragm protection. Esophageal pressure (∆PES) is the gold standard measure of respiratory effort but is not routinely available. Airway occlusion pressure in the first 100ms of the breath (P0.1) is a readily available surrogate for both respiratory effort and drive but is only modestly correlated with ∆PES in children. We sought to identify risk factors for P0.1 over or underestimating ∆PES in ventilated children. Secondary analysis of physiological data from children and young adults enrolled in a randomized controlled trial testing lung and diaphragm protective ventilation in pediatric acute respiratory distress syndrome (PARDS) (NCT03266016). ∆PES (∆PES-REAL), P0.1 and predicted ∆PES (∆PES-PRED = 5.91*P0.1) were measured daily to identify phenotypes based upon the level of respiratory effort and drive: one passive (no spontaneous breathing), three where ∆PES-REAL and ∆PES-PRED were aligned (low, normal, and high effort and drive), two where ∆PES-REAL and ∆PES-PRED were mismatched (high underestimated effort, and overestimated effort). Logistic regression models were used to identify factors associated with each mismatch phenotype (High underestimated effort, or overestimated effort) as compared to all other spontaneous breathing phenotypes. We analyzed 953 patient days (222 patients). ∆PES-REAL and ∆PES-PRED were aligned in 536 (77%) of the active patient days. High underestimated effort (n = 119 (12%)) was associated with higher airway resistance (adjusted OR 5.62 (95%CI 2.58, 12.26) per log unit increase, p < 0.001), higher tidal volume (adjusted OR 1.53 (95%CI 1.04, 2.24) per cubic unit increase, p = 0.03), higher opioid use (adjusted OR 2.4 (95%CI 1.12, 5.13, p = 0.024), and lower set ventilator rate (adjusted OR 0.96 (95%CI 0.93, 0.99), p = 0.005). Overestimated effort was rare (n = 37 (4%)) and associated with higher alveolar dead space (adjusted OR 1.05 (95%CI 1.01, 1.09), p = 0.007) and lower respiratory resistance (adjusted OR 0.32 (95%CI 0.13, 0.81), p = 0.017). In patients with PARDS, P0.1 commonly underestimated high respiratory effort particularly with high airway resistance, high tidal volume, and high doses of opioids. Future studies are needed to investigate the impact of measures of respiratory effort, drive, and the presence of a mismatch phenotype on clinical outcome. NCT03266016; August 23, 2017.

Resonant frequencies of multi-layer building constructions: Estimation by measurement of acceleration amplitudes

The Austrian building regulation requirements for impact sound insulation are based on the weighted standardized impact sound pressure level as single-number specification. In recent years, it has become apparent that not only the single-number specification, but the extended frequency range and frequency characteristics of impact sound insulation of constructions can have noticeable influence on the perceived acoustic performance of a construction. Therefore, the Austrian Classification Standard ÖNORM B 8115-5: 2021-04 includes extended requirements on impact sound insulation. It provides two ways for verification of the sound insulation classes A to C. One way is the verification via the resonance frequency of multi-layer constructions. However, there exist as yet no standardized measurement methods for the estimation of the resonance frequency of multi-layer building constructions. In response, in course of this study a new measurement method for the estimation of the resonance frequencies of multi-layer constructions was developed. For this development acceleration measurements were carried out on both surfaces of particularly double-layer building constructions, that were excited with a rubber hammer. From these measurement results, in conjunction with an analytical model, it was possible to derive a measurement method for estimating the resonant frequency via the frequency characteristics of the acceleration amplitudes.

Vibration reduction index improvement by adding resilient strips: influence of junction properties

Resilient strips can be used to decrease the structural transmission in junctions and thus limit the flanking sound transmission in buildings. In the standard ISO 12354-1, the efficiency of a resilient strip is characterized by the vibration reduction index improvement. To evaluate the vibration reduction improvement, a standardized measurement method is needed. However, the vibration reduction improvement is not an intrinsic material parameter of the resilient strip and can depend on the mounting conditions and junction geometry. In this paper, the vibration reduction index improvement is evaluated by means of numerical simulations carried out with a statistical model for junctions with resilient strips. The model was first validated by laboratory measurements. While the influence of the junction type (L, T or X) and transmission path (straight on or around the corner) is limited, the influence of the plate properties (mass and bending stiffness) cannot be neglected, with differences in vibration reduction improvement of up to 20 dB.

Performance assessment of the Surpass Evolve flow diverter for the treatment of intracranial aneurysms: A systematic review and meta-analysis.

The Surpass Evolve (SE) has emerged as a promising alternative treatment from the flow diverter series. The utilization of the SE has gradually increased, however, there is a scarcity of comprehensive data on the solidity of this technology in the endovascular treatment of intracranial aneurysms (IAs). This meta-analysis aimed to evaluate the safety and effectiveness of the SE flow diverter. A systematic literature search from inception to April 2024 was conducted across five databases for studies involving IAs treated with the SE. The primary effectiveness outcome was the proportion of complete aneurysm occlusion at the final follow-up, and the primary safety outcome comprised a composite of early and delayed complications. Subgroup analyses based on aneurysm size, anatomical location, and rupture status were also conducted. Our analysis included nine studies with 645 patients and 722 IAs. Effectiveness outcomes revealed an overall complete aneurysm occlusion rate of 69% (95% confidence interval (CI) = 58%-78%; I2 = 72%) and a favorable aneurysm occlusion rate of 91% (95% CI = 82%-96%; I2 = 49%). Safety outcomes demonstrated an overall complications rate of 6% (95% CI = 3%-12%; I2 = 66%), with an early complications rate of 6% (95% CI = 4%-11%; I2 = 0%), and a delayed complications rate of 0% (95% CI = 0%-7%; I2 = 0%). Our findings suggest a favorable outcome with a high rate of complete aneurysm occlusion at the last follow-up, with acceptable rates of neurological complications. Future research efforts should focus on larger, prospective studies with standardized outcome measures to further elucidate the clinical utility of the SE flow diverter in the management of IAs.

Respiratory Rate Estimation from Thermal Video Data Using Spatio-Temporal Deep Learning.

Thermal videos provide a privacy-preserving yet information-rich data source for remote health monitoring, especially for respiration rate (RR) estimation. This paper introduces an end-to-end deep learning approach to RR measurement using thermal video data. A detection transformer (DeTr) first finds the subject's facial region of interest in each thermal frame. A respiratory signal is estimated from a dynamically cropped thermal video using 3D convolutional neural networks and bi-directional long short-term memory stages. To account for the expected phase shift between the respiration measured using a respiratory effort belt vs. a facial video, a novel loss function based on negative maximum cross-correlation and absolute frequency peak difference was introduced. Thermal recordings from 22 subjects, with simultaneous gold standard respiratory effort measurements, were studied while sitting or standing, both with and without a face mask. The RR estimation results showed that our proposed method outperformed existing models, achieving an error of only 1.6 breaths per minute across the four conditions. The proposed method sets a new State-of-the-Art for RR estimation accuracy, while still permitting real-time RR estimation.

Mitigating the Binary Viewing Angle Bias for Standard Sirens

The inconsistency between experiments in the measurements of the local Universe expansion rate, the Hubble constant, suggests unknown systematics in the existing experiments or new physics. Gravitational-wave standard sirens, a method to independently provide direct measurements of the Hubble constant, have the potential to address this tension. Before that, it is critical to ensure there are no substantial systematics in the standard siren method. A significant systematic has been identified when the viewing angle of the gravitational-wave sources, the compact binary coalescences, was inferred inaccurately from electromagnetic observations of the sources. Such a systematic has led to a more than 10% discrepancy in the standard siren Hubble constant measurements with the observations of binary neutron star merger, GW170817. In this Letter, we develop a new formalism to infer and mitigate this systematic. We demonstrate that the systematic uncertainty of the Hubble constant measurements can be reduced to a level smaller than their statistical uncertainty with 5, 10, and 20 binary neutron star merger observations. We show that our formalism successfully reduces the systematics even if the shape of the biased viewing angle distribution does not follow precisely the model we choose. Our formalism ensures unbiased standard siren Hubble constant measurements when the binary viewing angles are inferred from electromagnetic observations.

Measuring Impairment-Specific Gains in Individual Cognitive Rehabilitation Through a Systematic Therapy Protocol.

This study investigated treatment-induced performance gains in memory function following therapy through the Intensive Cognitive Communication Rehabilitation (ICCR) program for young adults with acquired brain injury (ABI). We aimed to determine the utility of a novel approach to measuring memory performance improvement across semesters of therapy using (a) systematic treatment tasks called Individualized Quantitative Protocols (IQPs) as compared to (b) standardized measures of memory function. Retrospective IQP data spanning five consecutive ICCR semesters were collected from patients (N = 13) with ABI. Raw task-accuracy data were scaled to account for task difficulty gradation. Linear mixed-effects models (LMMs) were used to evaluate the degree of memory improvement-measured by scaled IQP scores-as a function of therapy duration, age, time postinjury, and aphasia; pre- to posttreatment effect sizes were also calculated. For comparison, similar LMMs were run using standardized metrics of memory abilities as the outcome measure. Results showed significant treatment-induced improvements, with gains at the session level (β = 2.76; t = 2.23; p = .047), when improvement was measured using IQP scaled scores. Standardized metrics did not show significant improvement as a function of therapy. Effect size analysis mirrored LMM results, with a large (d = 0.92, 95% confidence interval [0.35, 1.49]) pre- to posttreatment effect when change was measured using IQP scaled scores and a small effect for standardized measures. This preliminary study demonstrates the utility of a granular, individualized metric to index significant impairment-based performance gains following ICCR treatment. These results introduce promise for future analysis of complex treatment data. Additionally, they provide another lens with which to assess treatment progress and its significance. https://doi.org/10.23641/asha.27045937.

Hypertension in India: a gender-based study of prevalence and associated risk factors

BackgroundHypertension, a major non-communicable disease, is responsible for a significant number of global deaths, including approximately 17.9 million yearly. The Global Burden of Disease 2019 (GBD 2019) estimates that 19% of global deaths are attributed to elevated blood pressure. India, with a population of over 1.4 billion, is facing a serious challenge in combating this silent killer. This study aims to analyze the gender-based prevalence of hypertension in India and explore its associated risk factors using data from the fifth National Family Health Survey (NFHS-5).MethodsNFHS-5 collected data from 636,699 households across all states and union territories. The study includes standardized blood pressure measurements for 17,08,241 individuals aged 15 and above. The data were analyzed using Stata, employing descriptive statistics for the assessment of the prevalence and binary logistic regression to identify predictors of hypertension.ResultsThe study found the overall prevalence of hypertension in India to be 22.6%, with men (24.1%) having a higher prevalence than women (21.2%). Prevalence increased with age, reaching 48.4% in individuals aged 60 and above. Urban residents had a slightly higher prevalence (25%) than rural residents (21.4%), indicating the rapid spread of hypertension across all populations. Regional variations were observed, with the highest prevalence in Sikkim (37.9%) and the lowest in Rajasthan (16.5%). Increasing age, urban residence, belonging to certain religions (Muslim and other than Hindu or Muslim), and being classified as Scheduled Tribes (ST) were associated with a higher likelihood of hypertension. Conversely, belonging to Scheduled Castes (SC) or Other Backward Classes (OBC), being currently unmarried, and having higher education were associated with a lower likelihood of hypertension. Wealth index analysis revealed that those in the richest quintile were more likely to have hypertension. Behavioural risk factors, such as alcohol consumption, overweight, obesity, increased waist circumference, and high blood glucose levels, are positively associated with hypertension.ConclusionHypertension is a significant health burden in India, affecting both men and women. Age is the strongest non-modifiable predictor for both men and women. However, ageing women have higher odds of hypertension than ageing men, and this distinction becomes much more evident in their older ages. Obese women, based on BMI, have higher odds of hypertension than men. However, hypertension prevalence is slightly higher among men who are overweight or obese compared to women. BMI, waist circumference, random glucose level, alcohol use, and education level emerged as major predictors. Health education and awareness campaigns are critical to control the growing burden of hypertension in India. Policymakers must focus on preventive measures, targeting lifestyle changes and improved healthcare access for both men and women. By addressing these risk factors, India can make significant progress in controlling hypertension and reducing its impact on public health.