Survey and Comparative Study of LoRa-Enabled Simulators for Internet of Things and Wireless Sensor Networks.

The Internet of Things (IoT) is one of the most important emerging technologies, spanning a myriad of possible applications, especially with the increasing number and variety of connected devices. Several network simulation tools have been developed with widely varying focuses and used in many research fields. Thus, it is critical to simulate the work of such systems and applications before actual deployment. This paper explores the landscape of available IoT and wireless sensor networks (WSNs) simulators and compares their performance using the Low Power Wide Area Network (LPWAN) communication technology called LoRa (Long Range), which has recently gained a lot of interest. Using a systematic approach, we present a chronological survey of available IoT and WSNs simulation tools. With this, we categorized and content-analyzed published scientific papers in the IoT and WSNs simulation tools research domain by highlighting the simulation tools, study type, scope of study and performance measures of the studies. Next, we present an overview of LoRa/LoRaWAN technology by considering its architecture, transmission parameters, device classes and available simulation tools. Furthermore, we discussed three popular open-source simulation tools/frameworks, namely, NS-3, OMNeT++ (FLoRa) and LoRaSim, for the simulation of LoRa/LoRaWAN networks. Finally, we evaluate their performance in terms of Packet Delivery Ratio (PDR), CPU utilization, memory usage, execution time and the number of collisions.

Voices from the COVID-19 frontline: Nurses' trauma and coping.

AIM: To describe the experiences of frontline nurses who are working in critical care areas during the COVID-19 pandemic with a focus on trauma and the use of substances as a coping mechanism. DESIGN: A qualitative study based on content analysis. METHODS: Data were collected from mid-June 2020 to early September 2020 via an online survey. Nurses were recruited through the research webpage of the American Association of Critical Care Nurses as well as an alumni list from a large, public Midwest university. Responses to two open-ended items were analysed: (1) personal or professional trauma the nurse had experienced; and (2) substance or alcohol use, or other mental health issues the nurse had experienced or witnessed in other nurses. RESULTS: For the item related to psychological trauma five themes were identified from 70 nurses' comments: (1) Psychological distress in multiple forms; (2) Tsunami of death; (3) Torn between two masters; (4) Betrayal; and (5) Resiliency/posttraumatic growth through self and others. Sixty-five nurses responded to the second item related to substance use and other mental health issues. Data supported three themes: (1) Mental health crisis NOW!!: 'more stressed than ever and stretched thinner than ever'; (2) Nurses are turning to a variety of substances to cope; and (3) Weakened supports for coping and increased maladaptive coping due to ongoing pandemic. CONCLUSIONS: This study brings novel findings to understand the experiences of nurses who care for patients with COVID-19, including trauma experienced during disasters, the use of substances to cope and the weakening of existing support systems. Findings also reveal nurses in crisis who are in need of mental health services. IMPACT: Support for nurses' well-being and mental health should include current and ongoing services offered by the organization and include screening for substance use issues.

Power Consumption Modeling of Discontinuous Reception for Cellular Machine Type Communications.

Machine-type communication (MTC) is an emerging communication trend where intelligent machines are capable of communicating with each other without human intervention. Mobile cellular networks, with their wide range, high data rates, and continuously decreasing costs, offer a good infrastructure for implementing them. However, power consumption is a great issue, which has recently been addressed by 3GPP (3rd Generation Partnership Project) by defining power-saving mechanisms. In this paper, we address the problem of modeling these power-saving mechanisms. Currently existing modeling schemes do not consider the full range of states in the discontinuous reception (DRX) mechanism in LTE-A networks. We propose a semi-Markov based analytical model, which closes this gap and shows very good results in terms of predicting performance evaluation metrics, such as the power-saving factor and wake-up latency of MTC devices compared to simulation experiments. Furthermore, we offer an evaluation of the DRX parameters and their impact on power consumption of MTC devices.

Optimized Clustering Algorithms for Large Wireless Sensor Networks: A Review.

During the past few years, Wireless Sensor Networks (WSNs) have become widely used due to their large amount of applications. The use of WSNs is an imperative necessity for future revolutionary areas like ecological fields or smart cities in which more than hundreds or thousands of sensor nodes are deployed. In those large scale WSNs, hierarchical approaches improve the performance of the network and increase its lifetime. Hierarchy inside a WSN consists in cutting the whole network into sub-networks called clusters which are led by Cluster Heads. In spite of the advantages of the clustering on large WSNs, it remains a non-deterministic polynomial hard problem which is not solved efficiently by traditional clustering. The recent researches conducted on Machine Learning, Computational Intelligence, and WSNs bring out the optimized clustering algorithms for WSNs. These kinds of clustering are based on environmental behaviors and outperform the traditional clustering algorithms. However, due to the diversity of WSN applications, the choice of an appropriate paradigm for a clustering solution remains a problem. In this paper, we conduct a wide review of proposed optimized clustering solutions nowadays. In order to evaluate them, we consider 10 parameters. Based on these parameters, we propose a comparison of these optimized clustering approaches. From the analysis, we observe that centralized clustering solutions based on the Swarm Intelligence paradigm are more adapted for applications with low energy consumption, high data delivery rate, or high scalability than algorithms based on the other presented paradigms. Moreover, when an application does not need a large amount of nodes within a field, the Fuzzy Logic based solution are suitable.

Ca2+/calmodulin-dependent protein kinase II and protein kinase A differentially regulate sarcoplasmic reticulum Ca2+ leak in human cardiac pathology.

BACKGROUND: Sarcoplasmic reticulum (SR) Ca(2+) leak through ryanodine receptor type 2 (RyR2) dysfunction is of major pathophysiological relevance in human heart failure (HF); however, mechanisms underlying progressive RyR2 dysregulation from cardiac hypertrophy to HF are still controversial. METHODS AND RESULTS: We investigated healthy control myocardium (n=5) and myocardium from patients with compensated hypertrophy (n=25) and HF (n=32). In hypertrophy, Ca(2+)/calmodulin-dependent protein kinase II (CaMKII) and protein kinase A (PKA) both phosphorylated RyR2 at levels that were not different from healthy myocardium. Accordingly, inhibitors of these kinases reduced the SR Ca(2+) leak. In HF, however, the SR Ca(2+) leak was nearly doubled compared with hypertrophy, which led to reduced systolic Ca(2+) transients, a depletion of SR Ca(2+) storage and elevated diastolic Ca(2+) levels. This was accompanied by a significantly increased CaMKII-dependent phosphorylation of RyR2. In contrast, PKA-dependent RyR2 phosphorylation was not increased in HF and was independent of previous ß-blocker treatment. In HF, CaMKII inhibition but not inhibition of PKA yielded a reduction of the SR Ca(2+) leak. Moreover, PKA inhibition further reduced SR Ca(2+) load and systolic Ca(2+) transients. CONCLUSIONS: In human hypertrophy, both CaMKII and PKA functionally regulate RyR2 and may induce SR Ca(2+) leak. In the transition from hypertrophy to HF, the diastolic Ca(2+) leak increases and disturbed Ca(2+) cycling occurs. This is associated with an increase in CaMKII- but not PKA-dependent RyR2 phosphorylation. CaMKII inhibition may thus reflect a promising therapeutic target for the treatment of arrhythmias and contractile dysfunction.

Nursing students' perceptions of adoption: educational preparation needed.

Adoption is a worldwide practice; most know someone who has been adopted, has adopted a child, or has relinquished a child for adoption. Healthcare professionals will have contact with patients who have a connection to adoption. This study examined the overall perceptions, current knowledge, and gaps in a nursing curriculum as reported by undergraduate nursing students and offers insight into caring for those impacted by adoption.

CN+: Vehicular Dataset at Traffic Light Regulated Intersection in Bremen, Germany.

Vehicular Ad-Hoc Networks (VANETs) were introduced to avoid vehicular-related accidents and to improve the safety of both vehicular passengers and other road users. In VANETs, the vehicles are expected to communicate with neighbouring vehicles to increase awareness about the surrounding by using V2V (vehicle-to-vehicle) communication links. Since the introduction of VANETs, much research has focused on developing state-of-the-art algorithms to increase safety. However, real-world testing of these developed algorithms has become challenging due to the required high cost and multiple practical reasons. Therefore, simulation-based testing is commonly used for VANETs related applications. Using real datasets inside a simulation can significantly increase the results' accuracy and help to achieve realistic results. In this study, we present a dataset called 'CN+', which consists of more than 25,000 vehicles collected over 32 hours at a signalized intersection in Bremen, Germany. paper.

Optimal 2D audio features estimation for a lightweight application in mosquitoes species: Ecoacoustics detection and classification purposes.

Mosquitoes are the vector of diseases that kill more than one million people per year worldwide. Surveillance systems are essential for understanding their complex ecology and behaviour. This is fundamental for predicting disease risk caused by mosquitoes and formulating effective control strategies against mosquito-borne diseases such as malaria, dengue, and Zika. Mosquito populations vary heterogeneously in urban and rural landscapes, fluctuating with seasonal and climatic trends and human activity. Several approaches provide environmental data for mosquito mapping and risk prediction. However, they rely traditionally upon labour-intensive techniques such as manual traps. This paper presents the optimal audio features for mosquito identification using ecoacoustics signals to automatically identify different mosquito species from their wingbeat sounds based on popular audio features. The audio selection method uses Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Silhouette coefficient to evaluate the clusters in the data through the optimal-combined audio features. To classify the mosquito species and distinguish them from environmental-urban noise, the method comprises the Gaussian Mixture Model (GMM) and Gibbs approach for Aedes aegypti, and Culex quinquefasciatus, using the acoustic recordings of their wingbeat signals. Finally, comparing GMM and Gibbs, the two have very similar accuracy, but the classification time is much faster for Gibbs sampling, making it a good candidate for a lightweight solution. These are essential when deploying the described models to monitor mosquito vectors in the wild with Internet of Things (IoT) technologies.

Positive Affect and Physical Activity Associations in Women and Their Spouses.

BACKGROUND: Only 21% of U.S. women meet the recommended physical activity guidelines, placing them at increased risk for long-term conditions such as heart disease and diabetes. Physical activity is influenced by individual and interpersonal factors (e.g., romantic partners). Individual factors, such as positive affect, are associated with lower mortality risk and improved health behaviors. OBJECTIVES: This secondary data analysis, guided by Fredrickson's Broaden and Build Theory, aims to examine the relationship between positive affect of married women (n = 115 couples) and their physical activity behavior on the same- and next- day, while also considering their spouses' positive affect. METHODS: Two population average models assessed the relationship of calm and happy (positive affect) to physical activity. Physical activity was assessed as the sum of the minutes of moderate-to-vigorous physical activity (MVPA) over the prior 24 hours. Covariates of age, baseline activity frequency, education, marital quality, and race/ethnicity were also included. RESULTS: Women's happiness (ß = 0.15, p < .005), not calmness (ß = -0.03, p = .60), was found to have a significant association with same-day MVPA. Spouses' happiness (ß = 0.11, p = .045) was significantly associated with women's next-day MVPA while their calmness (ß = -0.04, p = .44) was not. CONCLUSIONS: The results of this study support that incorporating positive affect could be valuable for improving physical activity behaviors. Spouse reports provide additional context to consider in physical activity promotion research.

Predictors of Substance Use Risk in Nurse Anesthetists.

BACKGROUND: Certified registered nurse anesthetists (CRNAs) are exposed daily to highly addictive substances and stressful work environments, placing them at risk for substance use disorders (SUDs). Previous research, which is scarce, indicated that drugs of choice were opioids and propofol. Therefore, the purpose of this study was to investigate predictors of SUD risk using the World Health Organization Alcohol, Smoking and Substance Involvement Screening Test. METHOD: From June to July 2020, an online survey was sent via the American Association of Nurse Anesthesiology Research Survey Service to 3,000 CRNAs with a response of approximately 225 members. RESULTS: CRNAs were found to be at a moderate risk for SUDs in the following categories: 10.27% for tobacco, 23.56% for alcohol, and 6.28% for cannabis. Regression analysis by substance category includes robust, differing models in this homogeneous sample. Predictors for all three models include a collection of demographic variables, religiosity, anxiety, difficulties due to anxiety, depression, substance use history, contact with the American Association of Nurse Anesthesiology Peer Assistance Program, and organizational support. CONCLUSION: Over 10% of CRNAs are at risk for developing tobacco use disorder, and almost one quarter of those surveyed are at a moderate risk for developing alcohol use disorder. These data are of concern and may indicate a shift of preferred substances used by CRNAs from controlled substances to alcohol.

Nurses' Psychological Trauma and Cognitive Control in the COVID-19 Pandemic.

Introduction: During the COVID-19 pandemic, nurses have faced various nurse-specific traumas in their workplaces, but there is limited understanding of the resulting outcomes and factors that contribute to them. Objective: To address this gap, the study employed the middle-range theory of nurses' psychological trauma (NPT) to examine these relationships among frontline nurses working in critical care areas. Methods: In a quantitative cross-sectional study, the study compared nurses identified as probable cases of posttraumatic stress disorder (PTSD) with those identified as not probable cases. The study investigated the nurse-specific traumas they experienced, their individual personality traits, and the buffers they possessed. The study also sought to identify specific types of nurse-specific traumas that could be associated with negative outcomes, such as alcohol and drug use. Results: It was found that PTSD-probable nurses reported higher levels of trauma from disasters and system/medically induced trauma compared to not-probable nurses. They also experienced more nonwork-related humankind traumas and displayed lower resilience. Furthermore, PTSD-probable nurses identified with trait urgency and trait avoidance motivation. Additionally, trauma from disasters was associated with alcohol use. Conclusion: The study highlights the elevated levels of trauma, lower resilience, and specific psychological traits associated with PTSD-probable nurses, emphasizing the need for targeted interventions and support to mitigate the negative outcomes experienced by frontline nurses.

Impact of risk for severe COVID-19 illness on physical activity during the pandemic.

BACKGROUND: Precautions to mitigate spread of COVID-19 such as the closing of exercise facilities impacted physical activity behaviors. Varied risks for severe COVID-19 may have influenced participation in regular physical activity to maintain precautions. OBJECTIVE: Describe differences in the amount and intensity of physical activity between adults at high versus low risk for severe COVID-19 illness during the pandemic. We hypothesized that over 13 months, 1) high-risk adults would have greater odds of inactivity than low-risk adults, and 2) when active, high-risk adults would have lower metabolic equivalent of task minutes (MET-min) than low-risk adults. METHODS: This longitudinal observational cohort study surveyed U.S. adults' demographics, health history, and physical activity beginning March 2020 using REDCap. Using self-report, health history was assessed with a modified Charlson Comorbidity Index and physical activity with the International Physical Activity Questionnaire. Repeated physical activity measurements were conducted in June, July, October, and December of 2020, and in April of 2021. Two models, a logistic model evaluating physical inactivity (hypothesis 1) and a gamma model evaluating total MET-min for physically active individuals (hypothesis 2), were used. Models were controlled for age, gender, and race. RESULTS: The final sample consisted of 640 participants (mean age 42.7 ± 15.7, 78% women, 90% white), with n = 175 categorized as high-risk and n = 465 as low-risk. The odds of inactivity for the high-risk adults were 2.8 to 4.1 times as high than for low-risk adults at baseline and 13 months. Active high-risk adults had lower MET-min levels than low-risk adults in March (28%, p = 0.001), June (29%, p = 0.002), and July of 2020 (30%, p = 0.005) only. CONCLUSIONS: Adults at high risk of severe COVID-19 illness were disproportionately more likely to be physically inactive and exhibit lower MET-min levels than adults at low risk during the early months of the COVID-19 pandemic.

What Works and for Whom? Outcome Evaluation of an E-mail Walking Program Delivered Through Cooperative Extension.

INTRODUCTION: Get WalkIN' is a 12-week, e-mail-based walking promotion program. The purpose of this study was to (1) compare sociodemographics of participants who enrolled versus completed the program; and (2) evaluate program feasibility/acceptability from perspectives of program participants and county-based Extension Educators who implemented the program. METHODS: Participants (N = 875), recruited by county-based Extension Educators, were asked Likert-scale questions (eg, ease of reading the e-mails and frequency of e-mails) to assess program acceptability and open-ended questions regarding improvements. Educators (N = 55) were asked Likert-scale and open-ended questions regarding program training, recruitment, strengths, and areas for improvement. Descriptive statistics summarized participant characteristics, acceptability, and feasibility data. Open-ended responses were analyzed using thematic analysis. RESULTS: There were no significant sociodemographic differences between participants (N = 875) who started the program and completed the program (n = 438). Participants reported intervention e-mails were easy to read (mean = 4.5 ± 0.7), understand (mean = 4.5 ± 0.7), and encouraged more walking (mean = 4.1 ± 0.9). Participants would like to connect/interact with other participants/Educators, have more monitoring tools for accountability, and more visuals/videos embedded within e-mails. Educators reported program training was adequate, e-mail messages were helpful and easy to use, and requested more visuals (eg, videos) to help with recruitment. Educators thought adding a social component (eg, kick-off walk or walking group) would be helpful. CONCLUSIONS: This Extension-delivered walking program is acceptable to participants and feasible to deliver. However, participants and Educators reported they would like more interaction, even if virtual. Future e-mail-based programs should consider ways to incorporate social interaction among users as well as provide a wide variety of recruitment resources.

Is Marital Quality Related to Physical Activity Across the Life Course for Men and Women?

OBJECTIVES: Although physical activity is linked to multiple health outcomes, a majority of Americans do not meet physical activity guidelines, often with precipitous declines among older adults. Marital quality is a less-explored, but important, factor that may influence physical activity, as spouses often influence each other's health behaviors. METHODS: We use nationally representative panel data to investigate whether positive and negative dimensions of marital quality influence physical activity, and whether age and gender moderate these relationships. RESULTS: We find that both marital support and strain are related to higher odds of more frequent active exercise and walking, pointing to the complex influence of marital quality. Marital support became increasingly important to higher levels of walking frequency as men aged. DISCUSSION: This study provides new information on the ways in which both positive and negative dimensions of marital quality may contribute to trajectories of physical activity across the life course.

Changes to gait speed when romantic partners walk together: Effect of age and obstructed pathway.

BACKGROUND: Walking at a brisk pace is widely recommended to promote health. When partners walk together, walking activity is increased and maintained due to enhanced social support and accountability, but at least one person must adjust their gait speed. Decreased gait speed could compromise health benefits, which may be especially relevant for the aging population. RESEARCH QUESTION: Do adults change gait speed when walking with their romantic partner, relative to walking alone, and is the change in speed affected by age or pathway conditions? METHODS: Participants were 141 individuals from 72 romantic couples; age range 25-79 years. The three couple conditions were walking alone, walking with their partner, and walking while holding hands with their partner. The two pathway conditions were clear pathway and pathway with obstacles. Gait speed was modeled as a function of the couple conditions, pathway conditions, and covariates (gender, age, relationship duration, and physical activity) using mixed-effects (3-level) regression. RESULTS: In both pathway conditions, both partners reduced speed when walking together (p < 0.001), and reduced speed further while holding hands (p < 0.001), when compared to walking alone. These effects were unchanged when covariates were included in the model. Further, speed was slower on the obstructed pathway for all participants, but the magnitude of slowing was greater with increasing age (p < 0.001) and in females (p=0.03). SIGNIFICANCE: Across the adult lifespan, when walking together, both partners decreased gait speed by a clinically meaningful amount (≥0.05 m/s). While walking with a partner may increase walking activity due to social support, reduced speed when walking together may unintentionally reduce health benefits and gait quality in both partners. Future research should identify how health is impacted by the trade-off between increased walking activity and reduced gait speed when romantic partners walk together.

Influence of Affect on Physical Activity: An Integrative Review.

Affective states, such as feelings of anger and excitement, are linked to health outcomes and behaviors. The benefits of physical activity for individual affect is known; however, how affect influences physical activity participation is less understood. Using Whittemore and Knafl's framework, this integrative review examines the influence of affect on adult physical activity. using six databases, 19 articles published between 1997 and 2019. Themes found include support for the influence of positive affect on increased physical activity, a temporal aspect of affect, a variety of measurement tools, and varying uses of theoretical frameworks across studies. Advanced practice nurses and registered nurses may improve patient health behaviors, such as physical activity, by incorporating affect-focused assessments. Review findings support consideration of affect in physical activity counseling. Further research using theory-driven methods and consistent affect assessments is needed to test the complex relationship between affect and physical activity.

Developing equine mtDNA profiling for forensic application.

Horse mtDNA profiling can be useful in forensic work investigating degraded samples, hair shafts or highly dilute samples. Degraded DNA often does not allow sequencing of fragments longer than 200 nucleotides. In this study we therefore search for the most discriminatory sections within the hypervariable horse mtDNA control region. Among a random sample of 39 horses, 32 different sequences were identified in a stretch of 921 nucleotides. The sequences were assigned to the published mtDNA types A-G, and to a newly labelled minor type H. The random match probability within the analysed samples is 3.61%, and the average pairwise sequence difference is 15 nucleotides. In a "sliding window" analysis of 200-nucleotide sections of the mtDNA control region, we find that the known repetitive central motif divides the mtDNA control region into a highly diverse segment and a markedly less discriminatory segment.

Statewide Dissemination of an Evidenced-Based Email Walking Program Delivered Through Cooperative Extension.

Using the RE-AIM framework, this study evaluates the statewide dissemination of an evidenced-based, email-delivered physical activity intervention implemented through Cooperative Extension. The Get WalkIN' program is comprised of 16 email messages sent over 12 weeks. Email messages target social cognitive theory constructs of self-efficacy, goal-setting, self-monitoring, and social support. Program reach, effectiveness, adoption, implementation, and maintenance were assessed with quantitative measures in a pre-post design. Findings indicate that within the Extension system, program adoption was high and program maintenance was moderate. Program effectiveness was demonstrated with an increase of 77.1 ± 49.9 min in weekly walking post-program. This increase in walking was maintained 3 months post-program. Capturing data on the implementation process was challenging. Overall, the results indicate success in program adoption and maintenance with further efforts needed to improve follow-up data collection from participants.

The Effect of Timing of Exercise and Eating on Postprandial Response in Adults: A Systematic Review.

Type 2 diabetes is a major public health concern. Management of this condition has focused on behavior modification through diet and exercise interventions. A growing body of evidence has focused on temporality of dietary intake and exercise and potential effects on health. This review summarizes current literature that investigates the question "how does the timing of exercise relative to eating throughout the day effect postprandial response in adults?" Databases PubMed, Scopus, Cochrane Library, CINAHL, and SPORTDiscus were searched between March-May 2019. Experimental studies conducted in healthy adults (≥18 y) and those with type 2 diabetes were included. Full texts were examined by at least two independent reviewers. Twenty studies with a total of 352 participants met the inclusion criteria. The primary finding supports that exercise performed post-meal regardless of time of day had a beneficial impact on postprandial glycemia. There was insufficient evidence regarding whether timing of exercise performed pre- vs. post-meal or vice versa in a day is related to improved postprandial glycemic response due to inherent differences between studies. Future studies focusing on the investigation of timing and occurrence of meal intake and exercise throughout the day are needed to inform whether there is, and what is, an optimal time for these behaviors regarding long-term health outcomes.