The evolution of fifth-generation (5G) networks needs to support the latest use cases, which demand robust network connectivity for the collaborative performance of the network agents, such as multirobot systems and vehicle-to-anything (V2X) communication. Unfortunately, the user device’s limited communication range and battery constraint confirm the unfitness of known robustness metrics suggested for fixed networks, when applied to time-switching communication graphs. Furthermore, the calculation of most of the existing robustness metrics involves nondeterministic polynomial (NP)-time complexity, and hence are best fitted only for small networks. Despite a large volume of works, the complete analysis of a low-complexity temporal robustness metric for a communication network is absent in the literature, and the present work aims to fill this gap. More in detail, our work provides a stochastic analysis of network robustness for a massive machine-type communication (mMTC) network. The numerical investigation corroborates the exactness of the proposed analytical framework for the temporal robustness metric. Along with studying the impact on network robustness of various system parameters, such as cluster head (CH) probability, power threshold value, network size, and node failure probability, we justify the observed trend of numerical results probabilistically.

Background: The gene encoding the extracellular matrix (ECM) protease ADAMTS-7 was associated with coronary artery disease (CAD) in genome-wide association studies. ADAMTS-7 is expressed at all stages in human plaques and mice lacking Adamts-7 displayed reduced atherosclerotic plaque formation. While these findings render ADAMTS-7 a promising therapeutic target, the underlying mechanisms remain unknown. Methods and Results: Here, we sought to identify downstream mechanisms of ADAMTS-7 in atherosclerotic plaque formation. Targets of Adamts-7 were identified by high-resolution mass spectrometry of atherosclerotic plaques in Apoe-/- and Apoe-/-Adamts7-/- mice. ECM proteins were identified using solubility profiling. The endogenous inhibitor of matrix metalloproteinases (MMP) Timp-1 was identified as a novel target of Adamts-7. Adamts-7 and Timp-1 were found to be co-localized in atherosclerotic plaques and co-immunoprecipitation (Co-IP) studies revealed TIMP-1 as the first putative target to bind to the catalytic domain of ADAMTS-7. In vitro degradation assays demonstrated that ADAMTS-7 degrades TIMP-1. Co-IP furthermore revealed less binding of TIMP-1 to its canonical target MMP-9 when ADAMTS-7 was present. In line, scaffolding and degradation of TIMP-1 by ADAMTS-7 impaired TIMP-1-mediated inhibition of MMP-9 in vitro. As a downstream mechanism, we investigated collagen content in atherosclerotic plaques of Apoe-/- and Apoe-/- Adamts7-/- mice after Western diet. Collagen stainings of the aortic root revealed less collagen as a readout of higher MMP-9 activity in Apoe-/- as compared to Apoe-/- Adamts7-/- mice. Since ADAMTS-7 might exert its pro-atherogenic effects through interaction with TIMP-1, we established a TIMP-1-ADAMTS-7-interaction assay based on Förster resonance energy transfer (FRET) to identify inhibitors of this protein-protein interaction. Conclusion and Outlook: TIMP-1 represents a novel downstream target of ADAMTS-7 that can explain the role of this novel risk factor in CAD. Our FRET-based protein-protein interaction assay may be used for high-throughput screening to identifiy inhibitors and prevent the initiation or slow the progression of atherosclerosis.

Studies focusing on affective factors/emotions in learning are a mainstay in second language (L2) research. L2 teacher-focused research has also made advances in this domain and established the importance of affective factors for both learners and teachers. Despite the field’s understanding of the emotional complexity of L2 teaching, much remains undiscovered. The aim of this qualitative research was to investigate L2 teachers’ (N = 21) emotional experiences in the classroom. Specifically, by using a teacher diary we set out to document: (1) the emotions teachers reported in their place of work and during their interactions with learners, (2) the classroom activities teachers were engaged in when they experienced specific emotions, and (3) the regulatory practices they engaged in when dealing with both pleasant and unpleasant emotions. Our findings show that L2 teachers most frequently experienced pleasant emotions such as satisfaction, joy, and pride. In regard to unpleasant emotions, they primarily revealed frustration, irritability, and disappointment. Both types of emotions were mostly instigated by their learners and were related to L2 classroom activities in the areas of grammar, speaking, and reading. The teachers admitted to regulating both pleasant and unpleasant emotions. Finally, teachers revealed that they used down-regulation, reappraisal, deep breathing, and suppression as the most frequent emotion regulation strategies.

Electrochemical low-cost sensors, suitable for the monitoring of different air quality parameters such as carbon monoxide or nitrogen dioxide levels, are viable tools for creating affordable handheld devices for short-term or dense air quality monitoring networks for long-term measurements and IoT applications. However, most devices that utilize such sensors are based on proprietary hardware and software and, therefore, do not offer users the ability to replace sensors or interact with the hardware, software, and data in a meaningful way. Initiatives that focus on an open framework for air quality monitoring, such as the AirSensEUR project, offer competitive open source alternatives. In this study, we examined the feasibility of the application of such devices. Five AirSensEUR units equipped with chemical sensors were placed next to a reference air quality measuring station in Vienna, Austria. During co-location, concentrations of 0.20 ± 0.06 ppm, 7.14 ± 8.66 ppb, and 17.58 ± 9.90 ppb were measured for CO, NO, and NO2, respectively. The process of evaluating the performance of the low-cost sensors was carried out and compared to similar studies. Data analysis was carried out with the help of the basic functions in MS Excel. We investigated the linear correlation between the sensor and reference data and thus calculated the coefficient of determination, the average and maximum residuals, and the correlation coefficient. Furthermore, we discuss sensor properties in regard to selectivity and long-term stability.

This book presents a critique of current English as a Business Lingua Franca (BELF) practices using research conducted in Bosnia and Herzegovina. The authors identify English communication behaviours that hinder or promote success in the workplace, and trace these back to curricula and teaching practices.

Abstract COVID-19 both creates and complicates public health challenges. Yet the pandemic also provides a unique lens for dissecting complex issues in global health that could benefit society in the long run. In this paper, we discuss the underlying reasons that can help explain the divergent COVID-19 control outcomes between Beijing and Shanghai—two advanced metropolitans that are similar in their municipal capacity, administrative capability and pandemic strategy. We hope insights of this investigation contribute to the development of disease prevention systems, such as context-specific and data-driven public health strategies that could yield optimal pandemic control outcomes with minimal unintended consequences, both amid and beyond COVID-19.

BACKGROUND: Medical devices (MDs) represent the backbone of the modern healthcare system. Considering their importance in daily medical practice, the process of manufacturing, marketing and usage has to be regulated at all levels. Harmonized evidence-based conformity assessment of MDs during PMS relying on traceability of medical device measurements can contribute to higher reliability of MD performance and consequently to higher reliability of diagnosis and treatments. OBJECTIVE: This paper discusses issues within MD post-market surveillance (PMS) mechanisms in order to set a path to harmonization of MD PMS. METHODS: Medline (1980–2021), EBSCO (1991–2021), and PubMed (1980–2021) as well as national and international legislation and standard databases along with reference lists of eligible articles and guidelines of relevant regulatory authorities such as the European Commission and the Food and Drug Administration were searched for relevant information. Journal articles that contain information regarding PMS methodologies concerning stand-alone medical devices and relevant national and international legislation, standards and guidelines concerning the topic were included in the review. RESULTS: The search strategy resulted in 2282 papers. Out of those only 24 articles satisfied the eligibility criteria and were finally included in the review. Papers were grouped per categories: medical device registry, medical device adverse event reporting, and medical device performance evaluation. In addition to journal articles, national and international legislation, standards, and guidelines were reviewed to assess the state of PMS in different regions of the world. CONCLUSION: Although the regulatory framework prescribes PMS of medical devices, the process itself is not harmonized with international standards. Particularly, conformity assessment of MDs, as an important part of PMS, is not measured and managed in a traceable, evidence-based manner. The lack of harmonization within PMS results in an environment of increased adverse events involving MDs and overall mistrust in medical device diagnosis and treatment results.

Abstract Limited evidence exists on the link between inflammation and epigenetic aging. We aimed to (a) assess the cross-sectional and prospective associations of 22 inflammation-related plasma markers and a signature of inflammaging with epigenetic aging and (b) determine whether epigenetic aging and inflammaging are independently associated with mortality. Blood samples from 940 participants in the Melbourne Collaborative Cohort Study collected at baseline (1990–1994) and follow-up (2003–2007) were assayed for DNA methylation and 22 inflammation-related markers, including well-established markers (eg, interleukins and C-reactive protein) and metabolites of the tryptophan–kynurenine pathway. Four measures of epigenetic aging (PhenoAge, GrimAge, DunedinPoAm, and Zhang) and a signature of inflammaging were considered, adjusted for age, and transformed to Z scores. Associations were assessed using linear regression, and mortality hazard ratios (HR) and 95% confidence intervals (95% CI) were estimated using Cox regression. Cross-sectionally, most inflammation-related markers were associated with epigenetic aging measures, although with generally modest effect sizes (regression coefficients per SD ≤ 0.26) and explaining altogether between 1% and 11% of their variation. Prospectively, baseline inflammation-related markers were not, or only weakly, associated with epigenetic aging after 11 years of follow-up. Epigenetic aging and inflammaging were strongly and independently associated with mortality, for example, inflammaging: HR = 1.41, 95% CI = 1.27–1.56, p = 2 × 10−10, which was only slightly attenuated after adjustment for 4 epigenetic aging measures: HR = 1.35, 95% CI = 1.22–1.51, p = 7 × 10−9). Although cross-sectionally associated with epigenetic aging, inflammation-related markers accounted for a modest proportion of its variation. Inflammaging and epigenetic aging are essentially nonoverlapping markers of biological aging and may be used jointly to predict mortality.