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It has been shown that the formation of calcium phosphate crystals can be detected in patient blood using a polymer microchip manufactured by ultrasonic processing. Ultrasonic processing is recently evolving for the fabrication of low-cost microfluidic devices from thermoplastic polymers. The formation of calcium phosphate crystals can be measured in the blood serum of a patient both optically from a change in turbidity or in electrical resistance.

The growing demand for language mediation across different domains of public service interpreting (PSI) poses a challenge for policymakers, stakeholders (institutional representatives, clients), and traditional interpreter education institutions. Alongside university-based interpreter education, different training formats have emerged internationally to meet the increased need for training. Based on a systematic review of extra-university training formats in Austria, this contribution presents the results of a qualitative follow-up study drawing upon data from semi-structured interviews with providers. The aim was to investigate whether entrance assessment procedures are employed by course providers when selecting course participants, and, if so, which they are and what motives lie behind providers' decisions for particular admission procedures. Our study shows that while there is considerable commitment to offering customer-tailored courses to heterogeneous groups of trainees, the training formats differ and there seems to be little communication among providers regarding the establishment and adequacy of different formats for student selection.

Promising independence in old age, smart home technologies are increasingly being mobilized as a solution to the care crisis in western industrialized societies. A widely accepted concept, “ageing in place” promotes ageing and care at home, with technologies ensuring implementation and reducing healthcare costs. However, images of ageing that promote active ageing and problematize old age are inscribed in the development process of smart home technologies. Based on an ethnographic investigation of technically mediated promises and use cases and interviews with technology developers and exhibitors, we show how smart home technologies construct images of self-responsible, active age on the one hand, and dependent old age on the other. Drawing on a social constructivist notion of ageing and extending feminist STS influenced conceptions of the co-construction of technology and ageing, we show that images of ageing are also spatial constructions that idealize the home as a place of the “third age” and devalue the nursing home as a place of the “fourth age”.

PURPOSE: To (1) prospectively characterize the incidence of decision regret among women considering planned oocyte cryopreservation (planned OC), comparing those who pursued treatment vs those who did not freeze eggs, and (2) to identify baseline predictors for future decision regret. METHODS: A total of 173 women seen in consultation for planned OC were followed prospectively. Surveys were administered at (1) baseline ( 25. We also examined predictors of regret. RESULTS: The incidence of moderate-to-severe regret over the decision to freeze eggs was 9% compared to 51% over the decision not to pursue treatment. Among women who froze eggs, adequacy of information at baseline to decide about treatment (aOR 0.16, 95% CI 0.03, 0.87) and emphasis on future parenthood (aOR 0.80, 95% CI 0.66, 0.99) were associated with reduced odds of regret. Forty-six percent of women who froze eggs regretted not doing so earlier. Among women who did not freeze eggs, the primary reasons were financial and time constraints, correlating with increased odds of decision regret in an exploratory analysis. CONCLUSIONS: Among women undergoing planned OC, the incidence of decision regret is low compared to the regret confronting women seen in consultation for planned OC but who do not pursue treatment. Provider counseling is key to offset the regret risk.

Abstract Autonomous recording units (ARUs) paired with signal classification software can be used to detect species‐specific calls, making them useful for evaluating patterns in avian occurrence and activity. However, classification of target signals is not always reliable and may be especially challenging for species that vocalize infrequently. We assessed the use of ARUs to identify and monitor habitat for a cryptic and federally threatened distinct population segment, the western yellow‐billed cuckoo (Coccyzus americanus) in mountainous xeroriparian drainages. Using Kaleidoscope Pro, we developed a call‐classifier and processed acoustic data collected in sites also surveyed using traditional human‐observer methods, applying the same spatial and temporal detection criteria to estimate breeding territories for each method. The classifier detected a total of 4,061 true positive calls at 4 sites, had an overall precision score of 0.07, recall score of 0.09, and F‐score (beta = 1) of 0.08, indicating high false positive and false negative classification rates. Our results were, however, consistent with other ARU studies of rare and cryptic species and ARUs estimated occupancy as effectively as human surveys with as little as 2 hours of daily recording. Total detections varied among sites, likely due to differences in cuckoo population densities and the interaction between topography and ARU detection space. Our results suggest that despite performance shortcomings of call‐classifiers, ARUs can be effective for monitoring cuckoos, with potential for providing higher resolution temporal and spatial information on activity and habitat use and may be particularly effective in remote locations where cuckoos often occur.

BackgroundSystemic sclerosis (SSc) is a complex auto-immune disease characterized by vascular damage, inflammation, fibrosis and calcinosis, where pulmonary involvement is the leading cause of mortality. Calciprotein particles (CPPs) are increasingly formed upon disbalance of the physiological mineral buffering system and induce pro-inflammatory effects. This exploratory study investigated whether functional indicators of the endogenous mineral buffering system are dysregulated in SSc and linked to disease activity.MethodsT50 (calciprotein crystallization test or serum calcification propensity) and hydrodynamic radius of secondary CPPs (CPP2) were determined in serum samples from 78 SSc patients and 44 controls without SSc, and were associated with disease activity markers of SSc.ResultsT50 was reduced and CPP2 radius was increased in SSc patients as compared to controls, indicating a deranged mineral buffering system. This was accompanied by slightly higher serum phosphate and PTH levels in SSc patients, while iFGF23 was not significantly modified. Longitudinally, all parameters remained unchanged over time in SSc patients, only iFGF23 increased. While the modified Rodnan skin score showed some inconsistent correlations with mineral buffering indicators, their association was not independent of other factors. However, lower T50 was significantly correlated to reduced lung diffusion capacity and this association remained significant in a multivariate linear regression model.ConclusionThis study provides indications for a disturbed mineral buffering system in SSc. Increased serum calcification propensity (lower T50) is correlated with impaired lung diffusion capacity, suggesting a possible role of deranged mineral buffering in disease progression. Further studies are required to confirm these observations in larger cohorts and to investigate a putative functional relevance.

Abstract Introduction Since during the COVID-19 pandemic nail psoriasis was evaluated exclusively with teledermatology, dermatologists started to face the difficulty in rating it concurrent with other onycopathies (i.e., onychotillomania and onychophagy). Thus, we aimed to improve the existing severity scores and verify the value in different clinical settings (i.e., in person vs. teledermatology (video or picture)). Methods This multicenter prospective observational study evaluated patients with nail psoriasis and screened them for onychophagy or onychotillomania in telemedicine from May 2020 to January 2021. For therapeutic purposes patients with nail psoriasis were followed and rated with the Nijmegen-Nail psoriasis Activity Index tooL (N-NAIL) for 9 months; at the same time, N-NAIL and a new dedicated index that monitor also the changes in nail dimension (Galeazzi-(G) N-NAIL) were tested for accuracy. We assessed inter- and intraobserver agreement for the three different settings (in person, video, and pictures). Results In our cohort of 382 patients with nail psoriasis after a clinical and dermatoscopic assessment we found 20 (5.24%) patients with onychophagy and 17 (4.45%) patients with onychotillomania. Analysis of the impact of nail psoriasis on patients revealed that onycholysis and crumbing, followed by subungual hyperkeratosis, were the clinical signs that prevalently bothered patients. N-NAIL score displayed moderate intra- and interobserver agreement. Over the 9 months follow-up, N-NAIL vs. GN-NAIL displayed a solid correlation at all the examined time points, i.e., baseline and after 3, 6, and 9 months. Conclusion We created a new tool, the GN-NAIL capable of efficiently scoring nail psoriasis severity in complex cases, such as patients with onychotillomania and onychophagy, and monitor response to treatment during the COVID-19 pandemic.

ObjectiveTo characterize cognitive performance in relation to hormonal and metabolic factors in women with polycystic ovary syndrome (PCOS).DesignCross-sectional study.SettingTertiary university center.PatientsA total of 48 individuals, aged 21-46 years, with PCOS according to the Rotterdam criteria.InterventionsComplete history and physical examinations, endovaginal ultrasounds, dermatologic assessments, neuropsychological assessments, and metabolic and hormonal serum tests.Main outcome measuresSample-based z-scores on a comprehensive cognitive test battery.ResultsSubjects were defined as having an androgenic (n = 31) or a nonandrogenic (n = 17) PCOS phenotype. Compared with their nonandrogenized counterparts, subjects with hyperandrogenism demonstrated lower relative performance on the tests of executive function (β-coefficient for the executive function composite z-score, -0.44; 95% confidence interval, -0.79 to -0.09), despite similar performance on the tests of memory, verbal reasoning, and perceptual reasoning. These differences were independent of age, years of education, and obesity. In an exploratory analysis in which subjects were stratified by the presence of insulin resistance (IR), subjects with PCOS with both IR and hyperandrogenism showed the lowest performance on a composite score of executive function, followed by those with hyperandrogenism alone.ConclusionsIn this small study, subjects with hyperandrogenic PCOS demonstrated lower performance on the tests of executive function than subjects with nonandrogenic PCOS. Additional research is needed to confirm these findings in larger cohorts and investigate the role of modifiable factors, including IR, on cognitive outcomes.

Abstract Until the end of the 70s of the last century, the major tool for fractionating complex polymers regarding molecular size is gel permeation chromatography (GPC) (more accurately size exclusion chromatography, SEC). A milestone in fractionating polymers with regard to chemical composition is achieved when it is shown that random copolymers can be separated according to copolymer composition using solvent gradient HPLC. Another important step toward selective fractionation is taken when liquid chromatography at the critical point of adsorption is introduced as an efficient way to separate functional polymers with regard to their functionality type distribution. Another milestone is the discovery that temperature gradients can also be used for the selective separation of complex polymers with regard to composition. The combination of different LC methods in comprehensive 2D HPLC setups is another milestone. As of today, a toolbox of HPLC methods is in place that enables the fractionation of complex polymers according to all molecular parameters including tacticity and branching. Here, an overview on the different techniques and some major applications is presented. The most important developments in the field are discussed, and different techniques, experimental protocols, and applications are highlighted. In conclusion, challenges for future developments are outlined.

Cannabis use is common in young adulthood, yet little is known about the prevalence and patterns of multi-modal (i.e., use of more than one mode) cannabis use. Objective: We aimed to (1) determine the past 30-day prevalence of five modes (smoke, vape, edible, dab, other) of cannabis use, (2) describe the prevalence of multi-modal cannabis use (single vs. dual vs. poly-modal), and (3) identify socio-demographic correlates of multi-modal use among young adults. Method: Participants were 764 22–30-year-olds who currently used cannabis from Wave 9 (Spring 2019) of the Marketing and Promotions Across Colleges in Texas Project. Participants were 25.11 years old on average (SD = 1.81), 63.6% female, 38.7% identified as non-Hispanic white, 30.6% as Hispanic/Latino, 13.0% as Asian and 9.4% as Black, and 8.2% identified with two or more races or another race/ethnicity. Bivariate analyses and a multinomial regression were used to examine study questions. Results: Smoking was the most common mode of cannabis use followed by vaping and then edibles. Nearly 43% of participants reported single-modal cannabis use, 33% reported dual-modal use, and 24% reported poly-modal use. Males and those identifying as non-heterosexual were at a greater risk than their counterparts for using multiple modes of cannabis. Participants identifying as Black were at a reduced risk for poly-modal compared to single-modal use. Conclusion: Multi-modal use is common among young adults who currently use cannabis, indicating a need for universal efforts aimed at all young adults. Tailored interventions aimed toward those at elevated risk for multi-modal use also are needed.

Many contemplatives, scientists, and clinicians have pointed to the value of responding to life’s difficulties by accepting experiences as they are. A growing body of research also suggests that acceptance contributes to effective coping with adversity, reduced stress, and improved emotional well-being. Yet within the scientific literature, there is little consensus on what acceptance means or how it should be measured. This makes it nearly impossible to synthesize empirical work on acceptance into a cohesive scientific understanding. Our goal in this paper is to clarify four facets of acceptance that are commonly referenced in research: acknowledging, allowing, non-judging, and non-attachment. We do not propose a specific definition of acceptance or even a set of privileged facets that must be included in future frameworks. We instead offer a vocabulary to facilitate productive communication among researchers that will, in turn, enable a more definitive scientific understanding of this important construct to emerge. After defining and explaining these aspects of acceptance, we further clarify these constructs in two ways. First, we illustrate how the four aspects are dissociable from one another. Second, we analyze their correspondence to related constructs from Acceptance and Commitment Therapy (ACT). Finally, we provide a concept worksheet that scholars can utilize to precisely operationalize acceptance in their own work.

Local weather forecasts in the Arctic outside of settlements are challenging due to the dearth of ground-level observation stations and high computational costs. During winter, these forecasts are critical to help prepare for potentially hazardous weather conditions, while in spring, these forecasts may be used to determine flood risk during annual snow melt. To this end, a hybrid VMD-WT-InceptionTime model is proposed for multi-horizon multivariate forecasting of remote-region temperatures in Alaska over short-term horizons (the next seven days). First, the Spearman correlation coefficient is employed to analyze the relationship between each input variable and the forecast target temperature. The most output-correlated input sequences are decomposed using variational mode decomposition (VMD) and, ultimately, wavelet transform (WT) to extract time-frequency patterns intrinsic in the raw inputs. The resulting sequences are fed into a deep InceptionTime model for short-term forecasting. This hybrid technique has been developed and evaluated using 35+ years of data from three locations in Alaska. Different experiments and performance benchmarks are conducted using deep learning models (e.g., Time Series Transformers, LSTM, MiniRocket), and statistical and conventional machine learning baselines (e.g., GBDT, SVR, ARIMA). All forecasting performances are assessed using four metrics: the root mean squared error, the mean absolute percentage error, the coefficient of determination, and the mean directional accuracy. Superior forecasting performance is achieved consistently using the proposed hybrid technique.

Kartieren ist eine Methode, die seit einigen Jahren in europäischen Städten – insbesondere in vielen deutschen Städten – Konjunktur hat als Medium der öffentlichen Wahrnehmung kolonial geprägter Orte und trägt damit zu einer Diskursverschiebung postkolonialer Erinnerung bei. Die produzierten Karten machen auf die Vielfalt verdrängter oder vergessener Spuren des Kolonialismus im öffentlichen Raum aufmerksam. Sie machen außerdem Orte des Erinnerns an koloniale Gewaltverhältnisse, rassistische Ausbeutung und antikolonialen Widerstand sichtbar. Die Methode des Kartierens bezeichnen viele Autor*innen dieser Karten explizit als Praxis der Gegenerzählung zur eurozentrischen Kolonialgeschichte sowie als eine kollektive und partizipative Praxis herrschaftskritischer Wissensproduktion. Der Beitrag zeigt, in welcher Weise Kartierungsprojekte einerseits Argumente Kritischen Kartierens und andererseits Ansätze dekolonialer Erinnerungspolitik berücksichtigen. Dafür haben wir alle auffindbaren analogen und digitalen postkolonialen Karten deutscher Städte sowie zehn Karten weiterer europäischer Städte vergleichend analysiert und nach der jeweils angewandten Kartierungspraxis typisiert. Für drei identifizierte Kartentypen – Karten mit punktuellen Informationen, Karten mit Informationen zu räumlichen Verflechtungen und Karten mit Visualisierungen multiperspektivischer Erfahrungen – stellen wir jeweils Beispielkarten vor. Wir untersuchen die Umsetzung von Perspektiven kritischer Kartographie sowie postkolonialer Geographie und diskutieren die dekolonialen Potenziale des Kartierens.