Contrary to the visible Latinx population growth in rural America, rural Latinx households have experienced far greater economic disparities compared to Whites. Family economic stress predicts parents’ emotional distress, lower family functioning, and places children at high risk for behavior problems. However, few studies have examined the combined effects of economic and acculturative stress on rural Latinx child behaviors, nor the family stress process among rural Latinx immigrant families in the Midwest, a new settlement area for Latinx and other immigrants (Kandel & Cromartie, 2004). Guided by the family stress model (FSM), we examined the relationships among economic pressure, parent acculturative stress, maternal depressive symptoms, parenting competence and child internalizing and externalizing behaviors using a sample of 148 rural low-income Latinx immigrant mothers in a Midwestern state. Structural equation modeling was performed to test these relationships. Results revealed that higher levels of economic pressure and parent acculturative stress were related to higher levels of maternal depressive symptoms, which in turn were associated with lower parenting competence and eventually linking to higher levels of child externalizing behaviors. Maternal depressive symptoms were positively associated with child internalizing behaviors. Parent acculturative stress was also found to be directly linked to child internalizing and externalizing behaviors. Intervention programs that aim to promote health and well-being among rural Latinx immigrant mothers and their children may find it beneficial to incorporate information and strategies that lessen parent acculturative stress and depression, promote parenting competence, and connect families to resources to help reduce economic pressure.Graphical-design-based symptomatic techniques in pandemics perform a quintessential purpose in screening hit causes that comparatively render better outcomes amongst the principal radioscopy mechanisms in recognizing and diagnosing COVID-19 cases. The deep learning paradigm has been applied vastly to investigate radiographic images such as Chest X-Rays (CXR) and CT scan images. These radiographic images are rich in information such as patterns and clusters like structures, which are evident in conformance and detection of COVID-19 like pandemics. This paper aims to comprehensively study and analyze detection methodology based on Deep learning techniques for COVID-19 diagnosis. Deep learning technology is a good, practical, and affordable modality that can be deemed a reliable technique for adequately diagnosing the COVID-19 virus. Furthermore, the research determines the potential to enhance image character through artificial intelligence and distinguishes the most inexpensive and most trustworthy imaging method to anticipate dreadful viruses. This paper further discusses the cost-effectiveness of the surveyed methods for detecting COVID-19, in contrast with the other methods. Several finance-related aspects of COVID-19 detection effectiveness of different methods used for COVID-19 detection have been discussed. Overall, this study presents an overview of COVID-19 detection using deep learning methods and their cost-effectiveness and financial implications from the perspective of insurance claim settlement.We review the results for stochastic learning strategies, both classical (one-shot and iterative) and quantum (one-shot only), for optimizing the available many-choice resources among a large number of competing agents, developed over the last decade in the context of the Kolkata Paise Restaurant (KPR) Problem. Apart from few rigorous and approximate analytical results, both for classical and quantum strategies, most of the interesting results on the phase transition behavior (obtained so far for the classical model) uses classical Monte Carlo simulations. All these including the applications to computer science [job or resource allotments in Internet-of-Things (IoT)], transport engineering (online vehicle hire problems), operation research (optimizing efforts for delegated search problem, efficient solution of Traveling Salesman problem) will be discussed.Critical, time-bounded, and high-stress tasks, like incident response, have often been solved by teams that are cohesive, adaptable, and prepared. Although a fair share of the literature has explored the effect of personality on various other types of teams and tasks, little is known about how it contributes to teamwork when teams of strangers have to cooperate ad-hoc, fast, and efficiently. This study explores the dynamics between 120 crowd participants paired into 60 virtual dyads and their collaboration outcome during the execution of a high-pressure, time-bound task. Results show that the personality trait of Openness to experience may impact team performance with teams with higher minimum levels of Openness more likely to defuse the bomb on time. An analysis of communication patterns suggests that winners made more use of action and response statements. The team role was linked to the individual’s preference of certain communication patterns and related to their perception of the collaboration quality. Highly agreeable individuals seemed to cope better with losing, and individuals in teams heterogeneous in Conscientiousness seemed to feel better about collaboration quality. Our results also suggest there may be some impact of gender on performance. As this study was exploratory in nature, follow-on studies are needed to confirm these results. We discuss how these findings can help the development of AI systems to aid the formation and support of crowdsourced remote emergency teams.Modern crowdsourcing offers the potential to produce solutions for increasingly complex tasks requiring teamwork and collective labor. However, the vast scale of the crowd makes forming project teams an intractable problem to coordinate manually. To date, most crowdsourcing collaborative platforms rely on algorithms to automate team formation based on worker profiling data and task objectives. As a top-down strategy, algorithmic crowd team formation tends to alienate workers causing poor collaboration, interpersonal clashes, and dissatisfaction. In this paper, we investigate different ways that crowd teams can be formed through three team formation models namely bottom-up, top-down, and hybrid. By simulating an open collaboration scenario such as a hackathon, we observe that the bottom-up model forms the most competitive teams with the highest teamwork quality. Furthermore, we note that bottom-up approaches are particularly suitable for populations with high-risk appetites (most workers being lenient toward exploring new team configurations) and high degrees of homophily (most workers preferring to work with similar teammates). Our study highlights the importance of integrating worker agency in algorithm-mediated team formation systems, especially in collaborative/competitive settings, and bears practical implications for large-scale crowdsourcing platforms.Intimate partner violence (IPV) is a major concern across the world, and its prevalence assessment has been a priority in numerous countries. However, data about IPV prevalence in Portugal is scarce and not up-to-date. This study aims to estimate IPV prevalence in Portugal. A community sample of 1392 adults (77.4% female, mean age = 34.95 years, SD = 12.80) was collected through a web-based survey, between March and June of 2020. Participants completed a sociodemographic questionnaire and the Conflict Tactic Scales-2 (CTS-2). Accounting for all forms of IPV, a past-year prevalence of 64.4% and 64.6% were found, for victimization and perpetration, respectively. Regarding gender or sexual orientation, no significant differences were found in the past-year or the lifetime prevalence, neither concerning frequency. Directionality and dyadic concordance types were analyzed and showed that most violence was bidirectional. Having perpetrated violence in previous intimate relationships was the most influential factor when predicting past-year perpetration or victimization. Other significant predictors were age, being victimized before 15 years old, cohabitation with the intimate partner, and drug use, but the last two were only significant for victimization. Findings support the idea that IPV is a relevant phenomenon, regardless of gender and sexual orientation. It is the first nationwide, gender-inclusive study to do so in Portugal. Studies based on different samples might provide important evidence to prevent hasty conclusions about IPV prevalence and patterns and to guide empirically driven policies.Recent technological advances have helped scientists understand early human development. However, scientists’ ability to fully explore their potential comes in conflict with national and state-level policies in the USA. In 2016, for the first time, researchers were able to grow human embryos in culture up to 14 days but stopped because of scientific and legal limits. Other researchers have used stem cells in culture to create organized models of early human development, known as embryoids or cell-based embryo models. In this paper, we review federal and state laws that affect US human embryo and embryoid research. While federal policies focus on funding, state laws are often associated with human embryonic stem cells, abortion, fetal tissue research, and reproductive cloning. Of the 29 states with laws impacting human embryo research, only 11 states ban it, and none address embryoids directly, although five states limit aspects of this research. Overall, this complicated landscape suggests that additional national guidance would help scientists and the public navigate these controversial areas of research, however, it is unlikely to happen, considering the lack of past progress determining embryo research policy.

Changes in lifestyle, a carbohydrate-rich diet, and decreased physical activity are part of the context that led to an obesity pandemic. Treating obesity is a task that requires multidisciplinary care; however, in many cases, conventional therapy has no effect, requiring surgical intervention. This, in turn, is not without risks and causes important changes in lung function. Therefore, the aim of this study is to evaluate the effect of electroanalgesia through conventional transcutaneous electrical nerve stimulation (TENS) on the pain and lung function in the postoperative period of bariatric surgery.

This is a controlled and blinded clinical trial with 66 subjects who underwent bariatric surgery. The participants were randomized into 2 groups as follows an intervention group treated with TENS (

= 33) and a placebo group (

= 33). The participants underwent 4 TENS sessions, and the effect on pain was assessed using a visual analogue scale (VAS pain). Lung function was measured by spirometry.

There weariatric surgery. Importantly, in these patients, the MIP is maintained between the preoperative and postoperative periods. Amino acid transporter inhibitor However, electroanalgesia does not contribute to improvements in spirometric data. This trial is registered with NCT04800640.Background and study aims  Esophageal strictures (ES) occur frequently after semi-circumferential endoscopic submucosal dissection (ESD) for the eradication of superficial esophageal neoplasms and negatively impact a patient’s quality of life. Oral corticosteroids have been shown to be clinically effective, but the most appropriate drug, dose and duration is yet to be determined. The aim of the study was to investigate the clinical effectiveness and safety of 30 mg prednisone with a shortened tapering schedule on ES after semi-circumferential ESD. Patients and methods  This was a retrospective observational study that analyzed consecutive patients with esophageal neoplasms who underwent semi-circumferential ESD with a resection defect greater than 75 % of the circumference that received a protocol of oral steroids for stricture prevention. On postoperative day 3, 30 mg prednisone was prescribed, tapering weekly to 20 mg/10 mg/5 mg over 4 weeks. Follow-up included clinic consultation and endoscopic review at weeks 2 and 4.