Inhibition of SARS-CoV-2 infection by Porphyromonas gingivalis and the oral microbiome.

The COVID-19 pandemic persists despite the availability of vaccines, and it is therefore crucial to develop new therapeutic and preventive approaches. In this study, we investigated the potential role of the oral microbiome in SARS-CoV-2 infection. Using an in vitro SARS-CoV-2 pseudovirus infection assay, we found a potent inhibitory effect exerted by Porphyromonas gingivalis on SARS-CoV-2 infection mediated by known P. gingivalis compounds such as phosphoglycerol dihydroceramide (PGDHC) and gingipains as well as by unknown bacterial factors. We found that the gingipain-mediated inhibition of infection is likely due to cytotoxicity, while PGDHC inhibited virus infection by an unknown mechanism. Unidentified factors present in P. gingivalis supernatant inhibited SARS-CoV-2 likely via the fusion step of the virus life cycle. We addressed the role of other oral bacteria and found certain periodontal pathogens capable of inhibiting SARS-CoV-2 pseudovirus infection by inducing cytotoxicity on target cells. In the human oral cavity, we observed the modulatory activity of oral microbial communities varied among individuals in that some saliva-based cultures were capable of inhibiting while others were enhancing infection. These findings contribute to our understanding of the complex relationship between the oral microbiome and viral infections, offering potential avenues for innovative therapeutic strategies in combating COVID-19.

Recommendations for the Use of Telepsychology in Psychology-Law Practice and Research: A Statement by American Psychology-Law Society (APA Division 41).

In response to the COVID-19 pandemic and subsequent impact on psychological work, Division 41 of the American Psychological Association convened a taskforce to provide guidance to its membership regarding the use of technology for practice and research at the intersection of psychology and law. Drawing from existing research in psychology-law and beyond, as well as the first-hand experience of taskforce members, this document outlines foundational guidance to apply technology to forensic and correctional work while acknowledging these settings provide unique challenges to ethical practice. The recommendations provide support for psychologists involved in assessment, treatment, training, and research. However, these recommendations may not exhaustively apply to all areas of psycholegal practice or all forms of technology. Further, these recommendations are intended to be consulted in conjunction with other professional practice guidelines, emerging research, and policy changes that impact the integration of technologies into this work.

A Comparison of Deep Neural Networks for Monocular Depth Map Estimation in Natural Environments Flying at Low Altitude.

Currently, the use of Unmanned Aerial Vehicles (UAVs) in natural and complex environments has been increasing, because they are appropriate and affordable solutions to support different tasks such as rescue, forestry, and agriculture by collecting and analyzing high-resolution monocular images. Autonomous navigation at low altitudes is an important area of research, as it would allow monitoring parts of the crop that are occluded by their foliage or by other plants. This task is difficult due to the large number of obstacles that might be encountered in the drone's path. The generation of high-quality depth maps is an alternative for providing real-time obstacle detection and collision avoidance for autonomous UAVs. In this paper, we present a comparative analysis of four supervised learning deep neural networks and a combination of two for monocular depth map estimation considering images captured at low altitudes in simulated natural environments. Our results show that the Boosting Monocular network is the best performing in terms of depth map accuracy because of its capability to process the same image at different scales to avoid loss of fine details.

Community-based participatory research with police: Development of a tech-enhanced structured suicide risk assessment and communication smartphone application.

OBJECTIVE: Police officers initiate psychiatric holds following determination of suicide risk. Such referrals constitute direct decriminalization of mental illness at the single most efficient criminal justice system diversion point. However, system-level problems with this process highlight a need to further understand and improve this service connection juncture. The goal of the present study was to inform the development of a smartphone application designed to enhance police referrals of individuals experiencing suicide crises into treatment via culturally responsive structured professional judgment. HYPOTHESES: Given the developmental and qualitative nature of this study, there were no formal hypotheses tested. Research questions included the following: Would police officers broadly endorse concerns about the care referral process? Would officers support the use of technology to assist with those concerns? And would officers raise concerns about the demands on time and expertise that would be placed on them to conduct thorough risk assessments? METHOD: Researchers used community-based participatory research (CBPR) methods to obtain police stakeholder-driven data through four focus groups with 47 police officers (76.6% male, 59.6% White, with a mean of 10.7 years of police employment) sampled from patrol and hostage negotiation units. Participants shared information about specific problems arising in the process through which police refer people to medical care, and they gave feedback on the beta version of a culturally responsive mobile app designed to streamline officers' evidence-based and culturally informed determinations of suicide risk. RESULTS: Results, qualitatively coded using grounded theory methodology, yielded key considerations for police use of culturally responsive apps to divert individuals in suicidal crisis into treatment, including the need to maintain a balance between risk assessment and communication, allow for variance in time constraints, allow for flexibility in response and report options, account for inaccurate reports of suicide risk factors, maximize utility of the app's risk report output, incorporate sensitivity around cultural questions, and consider officers' safety in their use of the app in the field. CONCLUSIONS: The results illustrate a theoretically based (CBPR) approach to cross-disciplinary technology development to facilitate evidence-based assessments by law enforcement. (PsycInfo Database Record (c) 2021 APA, all rights reserved).