 area for that matter.
What could be causing this?

A: Have you tried GestureDetector.GestureListener.pan?
@Override
public boolean pan(float x, float y, float deltaX, float deltaY) {
    camera.translate(deltaX, -deltaY, 0);
    camera.update();
    return false;
}

You still need to work with your zoom levels but if it's 1:1 this should drag the exact amount as the drag itself. However, it takes a bit of time/movement till pan is actually triggered.
I want our shoppers to be comfortable, because that is why we use the gas furnace and the cooling system.
Every one of us all want to be more comfortable. If I can give that comfort, then our business name will be synonymous with being cozy and cheerful. That’s a enjoyable way for our shoppers to remember our name. It’s the reason why I have the word comfort in the name of our business; Right now, our top priority is assuring our shoppers that we are open for business and practicing safe social distancing and enjoyable hand washing practices. Every one of us also have all of our heating and cooling professionals wear masks, gloves, and shoebooties inside homes, we’re taking the coronavirus seriously. Every one of us command having ductwork cleaned and sanitized and we are running a major savings special on all indoor air cleaning services. I have seen a sizable spike in the amount of media whole-house air purifier sales. It’s been hard to gain media whole-house air purifiers from the manufacturer in less than a day or 2. Most orders are taking 4 or 5 afternoons. A few of our shoppers have been unhappy about waiting that long for an indoor media whole-house air purifier, however the reality of the situation is that all the people is distraught about their indoor air safety. Air filtration equipment sales are up across the country by 55% and that’s clearly due to the modern problem. Every one of us all need to work together to stay safe and that might mean waiting a day or 2 longer for some things.
Sub-Kolmogorov droplet dynamics in isotropic turbulence using a multiscale lattice Boltzmann scheme

The deformation and dynamics of a single droplet in isotropic turbulence is studied using a Lattice Boltzmann diffuse interface model involving exact boundary flow conditions to allow for the creation of an external turbulent flow. We focus on a small, sub-Kolmogorov droplet, whose scale is much smaller than the Kolmogorov length scale of the turbulent flow. The external flow field is obtained via pseudo-spectral simulation data describing the trajectory of a passive tracer in isotropic turbulence. In this way we combine the microscopic scale of the droplet and the macroscopic scale of the turbulent flow. The results obtained from this fully resolved model are compared to previous studies on sub-Kolmogorov droplet dynamics in isotropic turbulent flows, where an analytical model, which assumes the droplet shape to be an ellipsoid at all times, is used to describe the droplet deformation. Our findings confirm, that the hybrid pseudo-spectral Lattice Boltzmann algorithm is able to study droplet deformation and breakup in a regime well beyond the ellipsoidal approximation.


Introduction
The dynamics and breakup behaviour of immiscible droplets in laminar flows have been studied extensively in the literature, from applied studies involving concrete setups [4,5,6,7] to theoretical studies addressing their physical complexity [8,9,10,11,12]. A lot of attention has been dedicated to droplet deformation and breakup in stationary laminar flows [8,13,14,15,16,17,18,19,20,11,10,21,22], but less is known about the dynamics of droplets in homogeneous isotropic turbulent flows, which pose the challenge of solving a multi-physics problem, since the flow properties of the turbulent scales have to be accurately transferred to the scale of the droplet. We can differentiate between two interesting cases for the deformation of droplets in homogeneous and isotropic turbulent flows [23]: On the one hand, there are studies on droplet dynamics on scales larger than the Kolmogorov scale [24,25,26,27,28]. On the other hand, we investigate the dynamics and breakup statistics of sub-Kolmogorov droplets, i.e. droplets whose size is much smaller than the Kolmogorov scale [29,30,31,2,32,33]. The latter case is of particular interest to the authors, since the viscous stresses dominate over the inertial stresses, if the droplet size is smaller than the Kolmogorov scale of the outer flow [29]. In this regime the droplet is deformed similarly to the laminar case and the turbulence is only noticeable via the time-dependency of the solvent flow. Both [2] and [33] make use of the Maffettone-Minale model (MM-model) [3] to model the droplet in homogeneous isotropic turbulence, which only accounts for ellipsoidal deformations and thus can model breakup only via a cut off criteria. Even though there exist several computational studies on sub-Kolmogorov droplet dynamics and breakup in turbulent flows [29,30,31,2,32,33] there exists no experimental evidence of sub-Kolmogorov droplet break up [23], as such experiments are difficult to set up. However, there are experimental studies on breakup in flows through dilute random beds of fixed fibers [34] and breakup of a small single droplet in a chaotic advective flow [35]. These results [34,35] show that small droplets, whose size is comparable to the size of a sub-Kolmogorov droplet in a realistic turbulent flow, can break up in highly unsteady and time-dependent laminar flows, indicating that breakup of sub-Kolmogorov droplets is indeed possible and not merely a computational artefact. Moreover, our studies employ a novel multiscale algorithm, as we not only use the MM-model to measure the deformation of the droplet but compare it with fully resolved LBM (Lattice Boltzmann Method) simulations using a diffuse interface method, the Shan-Chen multicomponent model (SCM) [36,37].
But how can we couple LBM droplet dynamics to fully developed turbulence?
One way in doing so is to use a LBM hybrid boundary scheme, which is able to simulate an exact turbulent flow at the domain boundary. Exact flow boundary conditions for LBM are a very useful tool for multiscale physics simulations, as it is enabling scale separation in its very own nature. Exact flow boundaries for LBM were first developed by [49] for 2D lattices and then extended to 3D flows by [50,51,52] for perpendicular inlet and outlet flows. In [53] it is shown that exact boundary flow conditions can be implemented in 3D LBM simulations for the D3Q19 lattice. Even though the scheme presented in [53] seems rather suitable in modelling a sub-Kolmogorov droplet in homogeneous isotropic turbulence, we use a newly developed ghost boundary flow method. The main reason for this is that the method in [53] cannot determine both the density ρ b (x, t) and the velocity field v(x, t) at the lattice domain boundary. Since we require a constant density ratio of ρ d /ρ s, where the subscripts d and s denote the droplet and solvent phase respectively, for our hybrid simulations, we use the ghost node boundary scheme, which does not set constraints to either the density nor the velocity field at the boundary. Our numerical method can be seen as a novel hybrid approach to the sub-Kolmogorov droplet dynamics: The simulation domain can be of the same order as the droplet's size, see section 4, but should be ideally much larger than the droplet radius R, see section 5. The surrounding turbulent flow is used as an input via an open boundary condi-tion method [1], similar to the setups in [50,53]. This enables us to study the deformation and breakup behaviour of a sub-Kolmogorov droplet in fully developed isotropic turbulence, which we can compare to the results obtained via the widely used MM-model. We find that the fully resolved PS LBM hybrid simulation scheme is crucial to model sub-Kolmogorov droplet breakup in homogeneous isotropic turbulence, since it allows for non-ellipsoidal deformations close to breakup in contrast to the MM-model.

The MM-model and the Lattice Boltzmann algorithm
The phenomenological MM-model describes the coupling of droplet dynamics to a solvent flow. The droplet is always assumed to be ellipsoidal, so that we can describe it via a second rank tensor M ij, which is also referred to as the morphology tensor. Droplet deformation is characterised via the components of M ij (e.g. for an undeformed droplet M ij = δ ij ). The time evolution of M ij due to an external flow field is given by the MM equation [3]: where S ij and Ω ij are the symmetric and anti-symmetric parts of the velocity gradient G ij ≡ ∂ j v i respectively: are the third and second tensor invariants of M ij [3]. The degree of potential droplet deformability is given by the capillary number, which is defined as the ratio of viscous and interfacial forces of the droplet where G(t) ≡ G ij (t) ∞ is the time-dependent shear rate of the solvent flow, R the radius of the initially undeformed droplet, σ the surface tension between the droplet and the solvent and η s the dynamic viscosity of the solvent flow.
Unlike previous analytical approaches to model droplet deformation [9,54]  The droplet deformation in the MM-model is given