Overcoming Cloud Concerns with Trusted Execution Environments? Exploring the Organizational Perception of a Novel Security Technology in Regulated Swiss Companies

Trusted execution environments are a new approach for isolating data, specific parts of code, or an entire application within untrusted cloud environments. This emerging security technology could also enable the migration to cloud infrastructures for organizations working with highly sensitive data. As current research does not address the organizational perception of trusted execution environments (TEEs), we conducted an explorative study to clarify the technological, environmental, and organizational views on this technology by health care, life sciences, and banking companies in Switzerland. The interview findings show that in these industries, missing technological knowledge as well as privacy and process regulation are perceived to be the most critical driver for organizational adoption of TEEs. The identified low intrinsic motivation to adopt novel technologies permits us to conclude that clarifying the regulatory impact of TEEs could drive future adoption by organizations

Denying bogus skepticism in climate change and tourism research

This final response to the two climate change denial papers by Shani and Arad further highlights the inaccuracies, misinformation and errors in their commentaries. The obfuscation of scientific research and the consensus on anthropogenic climate change may have significant long-term negative consequences for better understanding the implications of climate change and climate policy for tourism and create confusion and delay in developing and implementing tourism sector responses

Critical overview of Nitinol surfaces and their modifications for medical applications

Nitinol, a group of nearly equiatomic shape memory and superelastic NiTi alloys, is being extensively explored for medical applications. Release of Ni in the human body, a potential problem with Nitinol implant devices, has stimulated a great deal of research on its surface modifications and coatings. In order to use any of the developed surfaces in implant designs, it is important to understand whether they really have advantages over bare Nitinol. This paper overviews the current situation, discusses the advantages and disadvantages of new surfaces as well as the limitations of the studies performed. It presents a comprehensive analysis of surface topography, chemistry, corrosion behavior, nickel release and biological responses to Nitinol surfaces modified mechanically or using such methods as etching in acids and alkaline solutions, electropolishing, heat and ion beam treatments, boiling in water and autoclaving, conventional and ion plasma implantations, laser melting and bioactive coating deposition. The analysis demonstrates that the presently developed surfaces vary in thickness from a few nanometers to micrometers, and that they can effectively prevent Ni release if the surface integrity is maintained under strain and if no Ni-enriched sub-layers are present. Whether it is appropriate to use various low temperature pretreatment protocols (≤ 160 °C) developed originally for pure titanium for Nitinol surface modifications and coatings is also discussed. The importance of selection of original Nitinol surfaces with regard to the performance of coatings and comparative performance of controls in the studies is emphasized. Considering the obvious advantages of bare Nitinol surfaces for superelastic implants, details of their preparation are also outlined.status: publishe

Recent observations of particulates in Nitinol

In spite of 40 years of history of Nitinol, the issues regarding its inclusions have been poorly explored. In our brief studies, conducted within the projects on surface design using Auger, energy-dispersive X-ray spectroscopy and scanning electrons microscopy, we discovered that particulates in NiTi medical alloys were always based on Ti: either ∼Ti₂NiO oxide, titanium dioxide, titanium carbide or oxidized titanium carbide. Nonmetallic particles were rather brittle, had various shapes and sizes, and revealed different solubility in chemical solutions. The matrix material surrounding inclusions showed a tendency to localized corrosion. It was hypothesized that release of inclusion debris in the human body due to corrosion might compromise biocompatibility of Nitinol.status: publishe

Fair enough? Decreased equity of dyadic coping across the transition to parenthood associated with depression of first-time parents

The transition to parenthood (TTP) is a stressful life event for most couples. Therefore, the way both partners jointly cope with stress (i.e., dyadic coping) is important for the prevention of individual adjustment problems (e.g., depression). For dyadic coping to be effective in reducing depressive symptoms, efforts of both partners should be equal. However, many couples experience a decrease of equity in task division within the domestic sphere across the TTP. The current study investigates the equity of a specific skill within the 'relationship sphere', because similarly to a decreased equity in household and childcare, a decreased equity of dyadic coping is likely to be associated with poorer individual adjustment. We collected longitudinal self-report data on dyadic coping and depressive symptoms from 104 mixed-gender first-time parents (n = 208 individuals) from pregnancy until 40 weeks postpartum. We created an equity score for men and women that measured their perceived difference between received and provided dyadic coping. On average, women reported providing more and receiving less dyadic coping than men. While both genders agreed on this distribution, men did perceive a higher equity of dyadic coping than women. Furthermore, the decrease of equity perceived by women across TTP was not visible in men. In line with our assumptions based on the equity theory, perceived equity of dyadic coping was associated with depressive symptoms in a curvilinear manner: Decreases in women's perceived equity in either direction (over- or underbenefit) were associated with more depressive symptoms in women and their male partners. This association was found above and beyond the beneficial effect of dyadic coping itself. This implies that not only how well partners support each other in times of stress, but also how equal both partners' efforts are, is important for their individual adjustment across TTP

Controlling the Balance of Fibroblast Proliferation and Differentiation: Impact of Thy-1

Fibroblasts provide matrix and regulatory mediators to the microenvironment and thereby contribute to maintenance of tissue homeostasis, wound healing, and tumor progression. In the present study, we addressed the functional relevance of Thy-1 for fibroblast functions in vitro and in vivo. Using fibroblasts from Thy-1(-/-) and wild-type mice, recombinant expression of Thy-1, and analysis of the interaction of fibroblasts with immobilized Thy-1, we showed that Thy-1 has a crucial role in the control of cell growth by suppressing proliferation and promoting apoptosis and differentiation of dermal fibroblasts. Function-blocking studies revealed that Thy-1 mediates the control of apoptosis and proliferation via modulation of beta 3 integrin function. Interestingly, Thy-1-mediated growth control appears to be a more general mechanism because it also regulates growth of tumor cells of different origin dependent on their beta 3 integrin expression. In summary, our findings point to an important role of Thy-1 in controlling the balance between proliferation and differentiation in dermal fibroblasts

Assessing the relationship between a web application-based load and recovery score and training load, considering the menstrual cycle: A longitudinal observational study in elite women’s soccer

Introduction Recovery monitoring is a fundamental component for continuous performance enhancement in sports and exercise (Bourdon et al., 2017). Given that recovery is considered a multifaceted restorative process, various physiological and psychological measures should be tracked daily (Heidari et al., 2018). Digital applications can aid in effortlessly collecting, integrating, and summarizing this data. In a collaborative research project, a web application was developed to monitor the load and recovery of athletes engaged in team sports. This study assesses the relationship between the web-application-based Load and Recovery Score (LRS) and training load among elite female soccer players in Switzerland. Furthermore, it explores the potential influence of the menstrual cycle on the individual training responses of these players. Methods A total of 49 female soccer players (age: 19 ± 2 years, height: 166 ± 5 cm, body mass: 59 ± 5 kg) were recruited for this 6-week longitudinal observational study. The LRS was recorded daily using a web application, and players recorded their basal temperature each morning. Training load was assessed based on trainer-intended ratings of perceived exertion. Linear mixed models were employed, accounting for individual responses as random effects in the analysis. Results A significant negative relationship was found between training load and players' LRS (Est. = -0.009, 95% CI -0.011, -0.007, p < .001). When controlling for training load, no significant effect of the menstrual cycle on players' LRS was found (F = 1.274, p = .283). Variance explained by the residual factor of both models was 46.59% and 50.07%, respectively, with a high proportion of variance attributed to random effects (43.67%, and 47.43% respectively). Discussion/Conclusion The LRS appears to be a practical tool for monitoring load and recovery status in women's soccer. Its ability to depict training load at an individual and multifactorial level can assist coaches in recognizing players' responses to training. However, further studies that determine the relationship between the LRS and other load and recovery parameters are highly warranted. The menstrual cycle did not show a significant effect on the LRS. Hence, the sensitivity of the LRS to menstrual cycle phases and its overall influence on recovery processes remains questionable. Nonetheless, we recommend systematic monitoring of the menstrualcycle as an extension of the LRS, as irregularities or the absence of menstrual bleeding may indicate serious health issues. References Bourdon, P. C., Cardinale, M., Murray, A., Gastin, P., Kellmann, M., Varley, M. C., Gabbett, T. J., Coutts, A. J., Burgess, D. J., Gregson, W., & Cable, N. T. (2017). Monitoring athlete training loads: Consensus statement. International Journal of Sports Physiology and Performance, 12(Suppl 2), S2161–S2170. https://doi.org/10.1123/IJSPP.2017-0208 Heidari, J., Beckmann, J., Bertollo, M., Brink, M., Kallus, W., Robazza, C., & Kellmann, M. (2019). Multidimensional monitoring of recovery status and implications for performance. International Journal of Sports Physiology and Performance, 14(1), 2-8. https://doi.org/10.1123/ijspp.2017-066

Load and recovery monitoring in Swiss top-level youth soccer players: Exploring the associations of a new web application-based score with recognised load measures

Introduction Systematic assessment of load and recovery in athletes is essential for effectively adjusting various training demands and their corresponding recovery measures (Kellmann et al., 2018), thereby reducing the risk of nonfunctional overreaching, overtraining, and potential subsequent injuries and illnesses (Bourdon et al., 2017; Kellmann et al., 2018; Taylor et al., 2012). The information obtained from the assessment can support athletes, coaching staff, and their medical teams in the tightrope act between performance optimisation and injury risk reduction. The expert consensus in the field of load and recovery monitoring and other research emphasises the importance of employing a multivariate approach for assessing load and recovery (Bourdon et al., 2017; Kellmann et al., 2018). Various physiological and psychological measures should be used for this purpose (Heidari et al., 2019). In team sports, it is also required that these assessments be carried out quickly, non-invasively, and with minimal added burden on the athletes (Thorpe et al., 2017). In this research project, we developed a web application-based Load and Recovery Score (LRS) and evaluated its relationship with established load parameters. It is assumed that specific training and match load variables correlate negatively with the following day’s LRS when controlled for intra-subject variability. Methods 78 female and male athletes from the U18, U19 and U21 teams of the Swiss soccer club “BSC Young Boys” were selectively recruited. 71 players (32.4% female) with an average age of 17.9 years (SD = 1.2) were monitored over a minimum period of 35 days. A repeated-measure design by means of a five-to-seven-week prospective longitudinal data collection was used in this study. The dependent variable (LRS) and four other independent load variables were repeatedly measured over time in the same athletes. The LRS comprises eight subscales integrated into an interval-scaled score ranging from 0 to 120. A higher score indicates a better recovery state and lower loads. The players recorded values for these eight different subscales daily using the web application. The subscales include questions drawn from various previously validated questionnaires related to the player’s 1) Physical capability, 2) General state of regeneration, 3) Muscular stress, 4) Fatigue, 5) Mood, and 6) Sleep quality, contributing to the recovery component of the score. Additionally, there are two load subscales pertaining to the player’s 7) Heart Rate Variability (HRV) and their 8) Acute:Chronic Workload Ratio (ACWR). The entries are either directly recorded on an ordinal scale (0-6) or are converted to conform to this scale level. Daily logs are incorporated into the different subscale values using a specific algorithm. The algorithm is informed by current research recommendations and is a proprietary business secret. The independent variables included the subjective Player- and Trainer – Session Rating of Perceived Exertion (PSRPE/TSRPE), as well as two GPS and accelerometry-based parameters: Total distance covered (TD) and Total distance > 20km/h (TD20). To examine direction and strength of the relationship between the LRS and the above-mentioned measures of training and match load, various linear mixed-effects models (LMM) were fitted via restricted maximum likelihood (REML). Random intercepts were defined for each player to account for the repeated within-subject measurements (Fisher et al., 2018; Molenaar & Campbell, 2009; Neumann et al., 2021), and the demographic control variables Height, Body mass and Sex were included in the models. Furthermore, the variance explained by the random effects was calculated using Nakagawa’s marginal and conditional R2 for mixed models. Results All training and match load parameters demonstrated significant negative correlations with the subsequent day’s LRS. In the linear mixed-effects model analysis PSRPE and TSRPE showed similar fixed effects (-0.013, 95% CI [-0.017, -0.010], p < .001 versus -0.008, 95% CI [-0.011, -0.006], p < .001), while TD exhibited stronger associations (-0.668, 95% CI [-0.979, -0.355], p < .001) than TD20 (-0.009, 95% CI [-0.012, -0.006], p < .001). The addition of control variables did not significantly influence direction or magnitude of the model’s effects. Variance explained by the residual factor ID (defining each individual) was high (≥ 0.444) in all of the analyses and post-hoc analyses on the influence of the variables Playing position and Sex showed high variation between these subgroups. Discussion/Conclusion The results show that the LRS has significant negative associations when controlled for repeated within-subject measurements with different subjective and objective training and match load measures, such as the PSRPE, the TSRPE, TD, and TD20. Therefore, it can track the effect of those variables whilst also being an indicator of different recovery parameters. All training and match load variables behave according to the a priori assumption and correlate negatively with the following day’s LRS. This is in line with the available literature, where it has already been shown that certain parameters, which are also part of the score, show good moderate to strong evidence for associations with different load indicators. The fact that the variance explained by the residual factor ID and the influence of grouping variables (Playing position/Sex) was high in all the analyses is consistent with current research (Hader et al., 2019; Neumann et al., 2021), where the impact of the different load parameters on recovery varied across groups and individuals. No single marker can provide global information (Temm et al., 2022) regarding an athlete’s recovery. The comprehensive LRS offers a solution to that problem because it can track different load parameters in elite youth soccer players and present multiple accepted recovery and load measures separately and on an individual level so that athletes, coaches and staff can use it to enhance their knowledge of responses (Bourdon et al., 2017) and determine future training and match load as well as suited means of recovery. By doing this, injury risk could be reduced and performance optimised. The ultimate decision of which monitoring tools to work with should remain with the sports professionals. It is essential that the protocol has reasonable practicability and uses an individualised (Temm et al., 2022), and multimodal approach, including biological and social aspects (Heidari et al., 2019). References Bourdon, P. C., Cardinale, M., Murray, A., Gastin, P., Kellmann, M., Varley, M. C., Gabbett, T. J., Coutts, A. J., Burgess, D. J., Gregson, W., & Cable, N. T. (2017). Monitoring athlete training loads: Consensus statement. International Journal of Sports Physiology and Performance, 12(Suppl 2), S2161–S2170. https://doi.org/10.1123/IJSPP.2017-0208 Fisher, A. J., Medaglia, J. D., & Jeronimus, B. F. (2018). Lack of group-to-individual generalizability is a threat to human subjects research. Proceedings of the National Academy of Sciences, 115(27), E6106–E6115. https://doi.org/10.1073/pnas.1711978115 Hader, K., Rumpf, M. C., Hertzog, M., Kilduff, L. P., Girard, O., & Silva, J. R. (2019). Monitoring the athlete match response: Can external load variables predict post-match acute and residual fatigue in soccer? A systematic review with meta-analysis. Sports Medicine - Open, 5(1), Article 48. https://doi.org/10.1186/s40798-019-0219-7 Heidari, J., Beckmann, J., Bertollo, M., Brink, M., Kallus, W., Robazza, C., & Kellmann, M. (2019). Multidimensional monitoring of recovery status and implications for performance. International Journal of Sports Physiology and Performance, 14(1), 2-8. https://doi.org/10.1123/ijspp.2017-0669 Kellmann, M., Bertollo, M., Bosquet, L., Brink, M., Coutts, A. J., Duffield, R., Erlacher, D., Halson, S. L., Hecksteden, A., Heidari, J., Kallus, K. W., Meeusen, R., Mujika, I., Robazza, C., Skorski, S., Venter, R., & Beckmann, J. (2018). Recovery and performance in sport: Consensus statement. International Journal of Sports Physiology and Performance, 13(2), 240–245. https://doi.org/10.1123/ijspp.2017-0759 Molenaar, P. C. M., & Campbell, C. G. (2009). The new person-specific paradigm in psychology. Current Directions in Psychological Science, 18(2), 112–117. https://doi.org/10.1111/j.1467-8721.2009.01619.x Neumann, N. D., Van Yperen, N. W., Brauers, J. J., Frencken, W., Brink, M. S., Lemmink, K. A. P. M., Meerhoff, L. A., & Den Hartigh, R. J. R. (2021). Nonergodicity in load and recovery: Group results do not generalize to individuals. International Journal of Sports Physiology and Performance, 17(3), 391–399. https://doi.org/10.1123/ijspp.2021-0126 Taylor, K.-L., Chapman, D., Cronin, J., Newton, M., & Gill, N. (2012). Fatigue monitoring in high performance sport: A survey of current trends. Journal of Australian Strength and Conditioning, 20, 12–23. Temm, D. A., Standing, R. J., & Best, R. (2022). Training, wellbeing and recovery load monitoring in female youth athletes. International Journal of Environmental Research and Public Health, 19(18), 11463. https://doi.org/10.3390/ijerph191811463 Thorpe, R. T., Atkinson, G., Drust, B., & Gregson, W. (2017). Monitoring fatigue status in elite team-sport athletes: Implications for practice. International Journal of Sports Physiology and Performance, 12(Suppl 2), S227–S234. https://doi.org/10.1123/ijspp.2016-043

The influence of surface oxides on the distribution and release of nickel from Nitinol wires

The patterns of Ni release from Nitinol vary depending on the type of material (Ni-Ti alloys with low or no processing versus commercial wires or sheets). A thick TiO₂ layer generated on the wire surface during processing is often considered as a reliable barrier against Ni release. The present study of Nitinol wires with surface oxides resulting from production was conducted to identify the sources of Ni release and its distribution in the surface sublayers. The chemistry and topography of the surfaces of Nitinol wires drawn using different techniques were studied with XPS and SEM. The distribution of Ni into surface depth and the surface oxide thickness were evaluated using Auger spectroscopy, TEM with FIB and ELNES. Ni release was estimated using either ICPA or AAS. Potentiodynamic potential polarization of selected wires was performed in as-received state with no strain and in treated strained samples. Wire samples in the as-received state showed low breakdown potentials (200 mV): the improved corrosion resistance of these wires after treatment was not affected by strain. It is shown how processing techniques affect surface topography, chemistry and also Ni release. Nitinol wires with the thickest surface oxide TiO₂ (up to 720 nM) showed the highest Ni release, attributed to the presence of particles of essentially pure Ni whose number and size increased while approaching the interface between the surface and the bulk. The biological implications of high and lasting Ni release are also discussed.status: publishe