Loweryrosenkilde0412

The online version contains supplementary material available at 10.1007/s10888-022-09539-5.

The online version contains supplementary material available at 10.1007/s10888-022-09539-5.The current health care system incorporates multidimensional strategies of improving patients' care experiences, promoting the health of populations, and reducing per capita cost of health care. These strategies include reducing readmission rates by keeping patients in the community and out of the skilled nursing facilities. Unfortunately, patients' outcomes were severely threatened during the coronavirus disease 2019 pandemic due to staff burnout. This project evaluates the effectiveness of the BREATHE program on the perceived stress level of nurse practitioners during the coronavirus disease 2019 pandemic. Emotional exhaustion and depersonalization decreased 1 month after nurse practitioners completed the program.Since the 1930s, street vending in Los Angeles has been classified as a misdemeanor, punishable by jail time and fines. The Los Angeles Street Vendor Campaign (LASVC)-a coalition of Brown and Black street vendors and social justice organizations-succeeded in decriminalizing street vending. Drawing on data collected from 2013 to 2020 and utilizing ethnographic and digital humanities methods, this paper spotlights fifteen Black and Brown street-vendor leaders of the LASVC. Combined street-vendor leader narratives reveal how laws and enforcement practices undermined their ability to stay free, remain housed, and keep families and vending communities together. This paper differentiates between state-sanctioned legal violence, which led to dispossession and family separation, and community-sanctioned legal violence to demonstrate how laws that criminalize street vendors make them targets for other forms of violence, namely surveillance by co-ethnics. Legal violence often occurs simultaneously and cumulatively adds extra levels of precarity for street vendors.Gingival inflammation is one of the main causes that can be related to various periodontal diseases. Human gingival fibroblast (HGF) is the major constituent in periodontal connective tissue and secretes various inflammatory mediators, such as nitric oxide (NO) and prostaglandin E2 (PGE2), upon lipopolysaccharide stimulation. This study is aimed at investigating the anti-inflammatory mechanism of chlorogenic acid (CGA) on Porphyromonas gingivalis LPS- (LPS-PG-) stimulated HGF-1 cells. ATG-017 inhibitor The concentration of NO and PGE2, as well as their responsible enzymes, inducible NO synthase (iNOS), and cyclooxygenase-2 (COX-2), was analyzed by Griess reaction, ELISA, and western blot analysis. LPS-PG sharply elevated the production and protein expression of inflammatory mediators, which were significantly attenuated by CGA treatment in a dose-dependent manner. CGA treatment also suppressed activation of Toll-like receptor 4 (TLR4)/myeloid differentiation primary response gene 88 (MyD88) and nuclear factor- (NF-) κB in LPS-PG-stimulated HGF-1 cells. Furthermore, LPS-PG-induced phosphorylation of extracellular regulated kinase (ERK) and Akt was abolished by CGA treatment, while c-Jun N-terminal kinase (JNK) and p38 did not have any effect. Consequently, these results suggest that CGA ameliorates LPS-PG-induced inflammatory responses by attenuating TLR4/MyD88-mediated NF-κB, phosphoinositide-3-kinase (PI3K)/Akt, and MAPK signaling pathways in HGF-1 cells.In Nigeria, the rapid population increase and the overreliance on fossil fuel have created significant environmental, health, political, and economic consequences leading to severe socio-economic drawbacks. These factors have developed a wide gap between energy demand and supply due to insufficient local production, necessitating a clean energy supply for all. The photovoltaic device's economic and environmental merits have made it the most suitable clean energy alternative to help developing countries such as Nigeria achieve the SDG-7. However, apart from the device's low efficiency, which is undergoing intensive study globally, other factors affect the penetration of the technology in developing countries, particularly Nigeria. This report systematically reviews the literature on the country's energy crisis and renewable energy potential, leading to an overview of solar energy potential and penetration. The potential of the technology and its penetration in the country were provided. A list highlighting challenges hindering technology penetration was also provided, and a solution for each was recommended.This paper analyzes the impact of methane emissions taxation on the recovery of the investments required for implementing technologies that use biogas energy in small wastewater treatment plants (WWTPs) in Brazil. It is based on the hypothesis that the adoption of a national methane emission tax policy would encourage small WWTPs to become sustainable power plants. The procedure involved 173 anaerobic plants to analyze (a) methane production; (b) available useful energy; (c) investments and avoided costs for implementing STHIL system (thermal drying sludge) and motor generator (electricity generation); (d) financial impact for two scenarios (C1 no emissions tax; C2 with tax). Positive environmental and financial results were observed for WWTPs, varying according to the period of time analyzed for both technologies. Investments must be made in cogeneration in anaerobic WWTPs for achieving satisfactory results. Taxation must not be viewed simply as a punitive instrument; on the contrary, it should be seen as a tool to encourage continuous process improvement. The circular economy may support the enlargement of the wastewater collection and treatment system, guaranteeing widespread sanitation conditions in urban areas. However, the actual implementation of a methane emission tax in Brazil still requires many rounds of discussion among sanitation companies, government, and civil society, to establish emission limits, and unit taxes, as well as to consolidate a carbon trade to follow through with this decision in the sanitation sector.This study focuses on the perception of music performances when contextual factors, such as room acoustics and instrument, change. We propose to distinguish the concept of "performance" from the one of "interpretation", which expresses the "artistic intention". Towards assessing this distinction, we carried out an experimental evaluation where 91 subjects were invited to listen to various audio recordings created by resynthesizing MIDI data obtained through Automatic Music Transcription (AMT) systems and a sensorized acoustic piano. During the resynthesis, we simulated different contexts and asked listeners to evaluate how much the interpretation changes when the context changes. Results show that (1) MIDI format alone is not able to completely grasp the artistic intention of a music performance; (2) usual objective evaluation measures based on MIDI data present low correlations with the average subjective evaluation. To bridge this gap, we propose a novel measure which is meaningfully correlated with the outcome of the tests. In addition, we investigate multimodal machine learning by providing a new score-informed AMT method and propose an approximation algorithm for the p-dispersion problem.In this paper we review a wide spectrum of techniques which have been proposed in literature to enable acceptable recognition of language and text by machines. We discuss many techniques which have been proposed by researchers in the field of term weighting and explore the mathematical foundations of these methods. Term weighting schemes have broadly been classified as supervised and statistical methods and we present numerous examples from both categories to highlight the difference in approaches between the two broad categories. We pay particular attention to the Vector Space Model and its variants which form the basis of many of the other methods which have been discussed in the paper.Game development is a collective process in which a variety of different professionals from different backgrounds collaborate together not only by means of conversational interaction but also collaborative participation, one of which is programming. While collaborative and pair programming solutions exist for text-based programming languages, visual programming has not enjoyed as much attention. These solutions would not only address advanced forms of business communication among team members but could find their use in distance learning, which would have been useful during the pandemic. In our work, we propose a solution for collaborative behavioral animation of NPCs using behavior trees through synchronous and asynchronous modes of collaboration. We conducted a user study with 12 moderately skilled game development university students who were placed in groups of two and engaged in joint fixed behavior tree development tasks using the synchronous and asynchronous modes and auxiliary features of live preview, access and restoration of previous states from behavior tree history, conflict resolution, and instant messaging. Participants also completed a control task where no collaboration was involved and auxiliary features were not available. Feedback form Creativity Support Index, a self-developed questionnaire, and a semi-structured interview were collected. Additionally, task completion times were logged. The results indicate that the two collaborative modes provide expected improvement over the control condition. No significant differences were found between the two collaborative modes. However, the semi-structed interview revealed that the synchronous mode could be useful for quick prototyping, while the asynchronous mode - for most other situations.

The online version contains supplementary material available at 10.1007/s11042-022-12307-2.

The online version contains supplementary material available at 10.1007/s11042-022-12307-2.Cases of deaths due to COVID-19 (COrona VIrus Disease-19) infection are increasing gradually worldwide. Immense research is ongoing to control this pandemic condition. Continual research outcomes are indicating that therapeutic and prophylactic agents are the possible hope to prevent the pandemic from spreading and to combat this increasing death count. Experience gained from previous coronavirus infections (eg., SARS (Severe Acute Respiratory Syndrome), MERS (Middle Ease Respiratory Syndrome), accumulated clinical knowledge during this pandemic, and research helped to identify a few therapeutic agents for emergency treatment of COVID-19. Thereby, monoclonal antibodies, antivirals, broad-spectrum antimicrobials, immunomodulators, and supplements are being suggested for treatment depending on the stage of the disease. These recommended treatments are authorized under medical supervision in emergency conditions only. Urgent need to control the pandemic condition had resulted in various approaches of repurposing the existing drugs, However, poorly designed clinical trials and associated outcomes do not provide enough evidence to fully approve treatments against COVID-19. So far, World Health Organization (WHO) authorized three vaccines as prophylactic against SARS-CoV-2. Here, we discussed about various therapeutic agents, their clinical trials, and limitations of trials for the management of COVID-19. Further, we have also spotlighted different vaccines in research in combating COVID-19.