Bio-inspired Synthetic Ivory as a Sustainable Material for Piano Keys

Natural ivory is no longer readily or legally available, as it is obtained primarily from elephant tusks, which now enjoy international protection. Ivory, however, is the best material known for piano keys. We present a hydroxylapatite-gelatin biocomposite that is chemically identical to natural ivory but with functional properties optimized to replace it. As this biocomposite is fabricated from abundant materials in an environmentally friendly process and is furthermore biodegradable, it is a sustainable solution for piano keys with the ideal functional properties of natural ivory.Comment: Published in Sustainability, open acces

Effect of Brief Biofeedback via a Smartphone App on Stress Recovery: Randomized Experimental Study.

BACKGROUND:Smartphones are often vilified for negatively influencing well-being and contributing to stress. However, these devices may, in fact, be useful in times of stress and, in particular, aid in stress recovery. Mobile apps that deliver evidence-based techniques for stress reduction, such as heart rate variability biofeedback (HRVB) training, hold promise as convenient, accessible, and effective stress-reducing tools. Numerous mobile health apps that may potentially aid in stress recovery are available, but very few have demonstrated that they can influence health-related physiological stress parameters (eg, salivary biomarkers of stress). The ability to recover swiftly from stress and reduce physiological arousal is particularly important for long-term health, and thus, it is imperative that evidence is provided to demonstrate the effectiveness of stress-reducing mobile health apps in this context. OBJECTIVE:The purpose of this research was to investigate the physiological and psychological effects of using a smartphone app for HRVB training following a stressful experience. The efficacy of the gamified Breather component of the Happify mobile health app was examined in an experimental setting. METHODS:In this study, participants (N=140) underwent a laboratory stressor and were randomly assigned to recover in one of three ways: with no phone present, with a phone present, with the HRBV game. Those in the no phone condition had no access to their phone. Those in the phone present condition had their phone but did not use it. Those in the HRVB game condition used the serious game Breather on the Happify app. Stress recovery was assessed via repeated measures of salivary alpha amylase, cortisol, and self-reported acute stress (on a 1-100 scale). RESULTS:Participants in the HRVB game condition had significantly lower levels of salivary alpha amylase during recovery than participants in the other conditions (F2,133=3.78, P=.03). There were no significant differences among the conditions during recovery for salivary cortisol levels or self-reported stress. CONCLUSIONS:These results show that engaging in a brief HRVB training session on a smartphone reduces levels of salivary alpha amylase following a stressful experience, providing preliminary evidence for the effectiveness of Breather in improving physiological stress recovery. Given the known ties between stress recovery and future well-being, this study provides a possible mechanism by which gamified biofeedback apps may lead to better health

Mothers’ Domestic Responsibilities and Well-Being During the COVID-19 Lockdown: The Moderating Role of Gender Essentialist Beliefs About Parenthood

The present work investigates how the increased domestic responsibilities created by the Spring 2020 lockdown of the COVID-19 pandemic in Norway and gender ideologies relate to the well-being of mothers with elementary school children. In June 2020, we conducted a cross-sectional online study including current and retrospective measures with 180 mothers (Mage = 39.96 years, SD = 6.11) of elementary school children across Norway. First, in line with earlier research on the strain of the pandemic on parents, and especially mothers, we found that Norwegian mothers’ well-being during the lockdown significantly declined compared to before the lockdown (both measured retrospectively). Furthermore, mothers’ well-being after the Spring 2020 lockdown did not immediately return to pre-lockdown levels. Finally, we predicted that gender ideologies (i.e., essentialist beliefs about parenthood) would exacerbate the negative impact of increased domestic responsibilities (i.e., childcare and housework) on mothers’ well-being (i.e., higher standard-higher stress hypothesis). As predicted, for mothers who more strongly endorsed the belief that mothers are instinctively and innately better caretakers than fathers, perceptions of increased domestic responsibilities were associated with lower well-being post-lockdown. These findings point to the specific challenges mothers face in times of crisis, and the importance of addressing and confronting seemingly benevolent ideologies about motherhood that place additional burdens on women

Effectiveness of Therapeutic Positioning on Preterm Infants in the NICU

Indiana University Purdue University IndianapolisIn this systematic review, we examine the potential positive impacts that positioning techniques and devices can have on physiological, neurological, and developmental outcomes in preterm infants in the Neonatal Intensive Care Unit (NICU). This paper describes the reasoning behind the beneficial effects of positioning strategies and how they can lead to healthy development. Due to the stress-inducing, high intensity environment of the NICU, non-invasive interventions that promote healthy physiological and neurological responses are undeniably necessary. Positioning techniques such as skin-to-skin contact, the use of different devices, and varying positions all have evidence supporting the effectiveness of positioning on developmental responses and outcomes. Occupational therapy (OT) practitioners are positioning professionals, making their role in the NICU very valuable.Occupational Therap

Who cares? Effects of gendered self-perceptions on dropout intentions in communal degree programs

Global population aging trends create an increased need for educated workers in the health domain. At the same time, communal degree programs (i.e., health care and early education [HEE]) show high dropout rates—particularly for men. Extending person-environment fit theory and the lack of fit model, we investigate whether students' (gendered) self-perceptions relate to perceived fit and whether fit is associated with their sense of belonging to the degree program and dropout intentions. We conducted an online experiment with 298 Norwegian students enrolled in HEE degree programs (66 men, 232 women; Mage = 25.32, SD = 6.08). We experimentally manipulated the importance of communal versus neutral traits in communal occupations. The manipulation showed no effects on students' perceived fit or sense of belonging. However, students' gender was significantly related to their communal self-perceptions. Male students perceived themselves as less communal, and this perception was associated with lower perceived fit. Lower perceived fit was associated with a lower sense of belonging and higher dropout intentions. Our findings indicate that gender differences in communal self-perceptions exist even among students in communal degree programs, and that this difference in perceived communality may contribute to the higher dropout rates of male students

The Impact of COVID-19-Induced Changes at Schools on Elementary Students' School Engagement

In spring 2020, the COVID-19 pandemic led to the shutdown of schools in many countries. Emerging research documents the negative effects of the pandemic and particularly of the shutdown of schools on children's well-being. The present research extends this research by investigating how structural changes made in schools upon reopening to align with COVID-19 restrictions were related to children's emotional school engagement and subjective well-being. An online questionnaire with elementary school children and their parents conducted in Norway in June 2020 (N = 93 parent–child dyads; 46 boys, 47 girls; mean age children = 9.70 years, SD = 1.81) assessed structural changes in schools and children's coping with these changes, emotional school engagement, subjective well-being, self-reported performance in school, and demographics. Results showed that neither receiving a new teacher nor being assigned to a new (smaller) group were associated with negative outcomes. However, children who did not like their new group showed reduced emotional school engagement and subjective well-being, indicating that specific students particularly suffered from the pandemic-induced restrictions. The relationship between liking one's group and SWB was mediated by emotional school engagement. Applied and theoretical implications are discussed

Impact of skeletal heterogeneity and treatment method on interpretation of environmental variability from the proteinaceous skeletons of deep-sea gorgonian octocorals

The stable isotope geochemistry of gorgonian octocoral skeletons facilitates detailed time series reconstructions of nutrient biogeochemistry. However, comparisons among reconstructions from different locations require realistic estimates of the uncertainty surrounding each measured geochemical value. Here, we determine quantitative uncertainties related to 1) standard skeletal pretreatment in preparation for stable isotopic analysis and 2) biological variability associated with a heterogeneous isotopic composition of the gorgonin skeleton. We found that the 5% HCl pretreatment required for the δ13C measurements does not significantly impact the δ15N values of the skeleton nor the reproducibility of the δ15N measurements. In contrast, while 5% HCl pretreatment significantly altered bulk δ13C values via removal of CaCO3, it did not change amino acid δ13C values in the organic skeleton. We found that the variance of repeat measurements of skeleton samples formed contemporaneously and homogenized skeleton for both δ13C and δ15N exceeded that of instrumental uncertainty of an acetanilide standard. This indicates that instrumental uncertainty underestimates the true precision of an isotopic measurement of the organic skeleton. Furthermore, measurements of contemporaneous skeleton around the circumference of an octocoral colony yielded variability exceeding that of homogenized skeleton. Based on these results, we find that 1) both δ13C and δ15N values can be measured simultaneously in pretreated skeleton, 2) growth bands should be homogenized prior to analysis, and 3) reported error should include uncertainty due to biological effects determined from repeat analysis of homogenized skeleton and not just instrument error to reduce false significant differences. Our results present an important protocol for processing proteinaceous octocoral skeletons and propagating uncertainty to more accurately reconstruct nutrient dynamics from proteinaceous deep-sea octocoral skeletons

Multi-Dimensional Damage Detection for Surfaces and Structures

Current designs for inflatable or semi-rigidized structures for habitats and space applications use a multiple-layer construction, alternating thin layers with thicker, stronger layers, which produces a layered composite structure that is much better at resisting damage. Even though such composite structures or layered systems are robust, they can still be susceptible to penetration damage. The ability to detect damage to surfaces of inflatable or semi-rigid habitat structures is of great interest to NASA. Damage caused by impacts of foreign objects such as micrometeorites can rupture the shell of these structures, causing loss of critical hardware and/or the life of the crew. While not all impacts will have a catastrophic result, it will be very important to identify and locate areas of the exterior shell that have been damaged by impacts so that repairs (or other provisions) can be made to reduce the probability of shell wall rupture. This disclosure describes a system that will provide real-time data regarding the health of the inflatable shell or rigidized structures, and information related to the location and depth of impact damage. The innovation described here is a method of determining the size, location, and direction of damage in a multilayered structure. In the multi-dimensional damage detection system, layers of two-dimensional thin film detection layers are used to form a layered composite, with non-detection layers separating the detection layers. The non-detection layers may be either thicker or thinner than the detection layers. The thin-film damage detection layers are thin films of materials with a conductive grid or striped pattern. The conductive pattern may be applied by several methods, including printing, plating, sputtering, photolithography, and etching, and can include as many detection layers that are necessary for the structure construction or to afford the detection detail level required. The damage is detected using a detector or sensory system, which may include a time domain reflectometer, resistivity monitoring hardware, or other resistance-based systems. To begin, a layered composite consisting of thin-film damage detection layers separated by non-damage detection layers is fabricated. The damage detection layers are attached to a detector that provides details regarding the physical health of each detection layer individually. If damage occurs to any of the detection layers, a change in the electrical properties of the detection layers damaged occurs, and a response is generated. Real-time analysis of these responses will provide details regarding the depth, location, and size estimation of the damage. Multiple damages can be detected, and the extent (depth) of the damage can be used to generate prognostic information related to the expected lifetime of the layered composite system. The detection system can be fabricated very easily using off-the-shelf equipment, and the detection algorithms can be written and updated (as needed) to provide the level of detail needed based on the system being monitored. Connecting to the thin film detection layers is very easy as well. The truly unique feature of the system is its flexibility; the system can be designed to gather as much (or as little) information as the end user feels necessary. Individual detection layers can be turned on or off as necessary, and algorithms can be used to optimize performance. The system can be used to generate both diagnostic and prognostic information related to the health of layer composite structures, which will be essential if such systems are utilized for space exploration. The technology is also applicable to other in-situ health monitoring systems for structure integrity