Virtual reality (VR) technology is perfect with the help of pc, laptop and virtual world integration awareness. The current analysis argues on the application of VR technology inclinic, especially in medical training, panic controlling, any phobia like eating, flying, height phobia etc. therapeutic cure of mental disorder. This research gives a short survey in the field of VR, emphasizing application fields, technological necessities, and present solutions. This research offers the first signal toward the incoming hypnotic virtual atmosphere can be help like a powerful tool, no pharmacologic pain killer. With the use of VR environment, they distract them from pain during panic medication, like chemotherapy, burn medication is so much panic treatment when sterile gauze dressing change we need to distract the attention of patient. These initial conclusions recommended that immersive Virtual Reality more care as a potentially feasible form of therapy forcritical pain. Flying phobia is extremely prevailing nervousness illness, which causes patients suffering and lifeinterfering. VR provide effectiveness treatment of flying phobia, small animal phobia, Claustrophobia etc. By distracting the attention from actual world. Virtual Reality experience treatment is compared by “Imagine experience treatment” (i.e. virtual reality experience treatment completes by imagination). Aim of this paper recourses documentation process, lecturer interview and mathematical measurements to research the use of VR technology scientific development in virtual reality technology. Our present conclusion shows how intellectual factors essential in operator can impact the feature of the human-computer interface (using VR). Therapy authorizations reduced individuals to discover worlds not otherwise accessible to them, permits exact valuation and treatment for their injury and helps their serious requirements in community or personal. And to help these progressive technologies, the operation theater and hospital of the future will be first designed and verified in virtual reality, connecting the full power of the virtual medical doctor. In almost every field we can treat with Virtual Reality simulators, investigators have attained at the same result that both specialists and sufferer gain advantage from this technology. Furthermore, benefits the utilization of Virtual Reality technology in every field were review. Virtual reality is use to distract the attention.

The analysis of liability aspects facing Artificial Intelligence (‘AI’)-generated outputs under copyright and related rights has been overlooked compared to other issues connected to the development and use of AI. This study fills this gap by exploring pertinent questions under international, EU and UK law. Specifically, the study tackles actionable reproduction, allocation of liability, and availability of defences. The analysis ultimately shows that, while it is clear that each case will need to be decided on its own merits, the generative AI output phase raises several profiles of liability under copyright law. If the goal of policymakers and relevant stakeholders is to ensure the balanced and sustainable development of AI, then the issues related to the generation and dissemination of AI outputs need to be given ample attention and a greater role in the debate than what has been the case so far, whether it is in the context of risk assessment and compliance, licensing initiatives, or in contentious scenarios.

This study aims to quantify how turbulence in a channel flow mixes momentum in the mean sense. We applied the macroscopic forcing method (Mani & Park, Phys. Rev. Fluids, 2021, 054607) to direct numerical simulation (DNS) of a turbulent channel flow at $Re_\tau =180$ using two different forcing strategies that are designed to separately assess the anisotropy and non-locality of momentum mixing. In the first strategy, the leading term of the Kramers–Moyal expansion of the eddy viscosity is quantified, revealing all 81 tensorial coefficients that essentially characterise the local-limit eddy viscosity. The results indicate the following: (1) the eddy viscosity has significant anisotropy, (2) Reynolds stresses are generated by both the mean strain rate and mean rotation rate tensors associated with the momentum field and (3) the local-limit eddy viscosity generates asymmetric Reynolds stress tensors. In the second strategy, the eddy viscosity is quantified as an integration kernel revealing the non-local influence of the mean momentum gradient at each wall-normal coordinate on all nine components of the Reynolds stresses over the channel width. Our results indicate that while the shear component of the Reynolds stress is reasonably reproduced by the local mean gradients, other components of the Reynolds stress are highly non-local. These results provide an understanding of anisotropy and non-locality requirements for closure modelling of momentum transport in attached wall-bounded turbulent flows.

The heart of prospect theory is the value function, proposing that the carriers of value are positive or negative changes from a reference point. Daniel Kahneman observed that if prospect theory had a flag, the value function would be drawn on it. The function is nonlinear, reflecting diminishing sensitivity to magnitude. When describing how human lives are valued, the function exposes profound incoherence. An individual life is highly valued and thus vigorously protected if it is the only life at risk. But that life loses its value when it is one of many endangered by a larger tragedy. Beyond this insensitivity, the function may actually decline when many lives at risk become mere numbers. The more who die, the less we care. Implications of this deadly ‘arithmetic of compassion’ for understanding and managing the risk from nuclear weapons are briefly discussed.

To what extent can the harms of misinformation be mitigated by relying on nudges? Prior research has demonstrated that non-intrusive ‘accuracy nudges’ can reduce the sharing of misinformation. We investigate an alternative approach. Rather than subtly reminding people about accuracy, our intervention, indebted to research on the bystander effect, explicitly appeals to individuals' capacity to help solve the misinformation challenge. Our results are mixed. On the one hand, our intervention reduces the willingness to share and believe in misinformation fact-checked as false. On the other hand, it also reduces participants' willingness to share information that has been fact-checked as true and innocuous, as well as non-fact-checked information. Experiment 1 offers proof of concept; Experiment 2 tests our intervention with a more realistic mix of true and false social media posts; Experiment 3 tests our interventions alongside an accuracy nudge. The effectiveness of our intervention at reducing willingness to share misinformation remains consistent across experiments; meta-analysis reveals that our treatment reduced willingness to share false content across experiments by 20% of a scale point on a six-point scale. We do not observe the accuracy nudge reducing willingness to share false content. Taken together, these results highlight the advantages and disadvantages of accuracy nudges and our more confrontational approach.

Qualitative research methods, defined as the collection and analysis of non-numerical data to understand concepts and experiences, are often used to inform mental health practice and policies. When utilising qualitative research methods, it is important that the researcher uses an explicit theoretical framework to guide the study. A theoretical framework informs how researchers engage with a topic or problem, report on their work with participants, describe key concepts and address assumptions within the research questions and procedures. In this article, we describe the basic concepts underpinning three of the most commonly used frameworks in mental health research: positivism, interpretivism and critical realism. We also describe how these theoretical frameworks may guide the qualitative process, including the theoretical and methodological approaches chosen and the ways in which these theoretical frameworks can be applied in practice. To enhance understanding of these frameworks, we include examples of how such frameworks can be used in qualitative mental health research.

During the COVID-19 pandemic, governors preempted local governments at unprecedented levels. A rich literature examines state preemption of local governments, but gubernatorial preemption – and the strategies governors use to do so – remain understudied. This paper examines what institutional and political factors influenced governors’ preemption style during the pandemic by analyzing a dataset of over 1,200 COVID-19 executive orders, classified by their style of preemption: ceiling, floor, or vacuum. Governors in states with high local autonomy rely on ceiling and floor preemptions. Republican governors are likelier to issue ceiling preemptions that bind local governments’ hands. Governors in states with ideologically dissimilar local governments tend to issue vacuum preemptions. When non-preempting previsions are dropped from the analysis, local autonomy does not significantly affect issuing one type of preemption over another. On the other hand, Republican governors are more likely to issue both ceiling and floor preemptions over vacuum preemptions. Governors in states with high ideological asymmetry are less likely to issue ceiling and floor preemptions over vacuum preemptions. These findings provide insight into gubernatorial behavior, interactions between state and local governments, and how theories of federalism can teach us more about how governments respond to crises.