Development of a sheep platform and behavioral monitoring methods for assessing deep brain stimulation therapies and devices for movement disorders

Preclinical animal models are essential for successful development of safe and effective commercialized CNS therapies. Objective data from animal models establish proof of concept evidence and provide critical inputs to the design of later phase clinical studies. In medical device development, a large animal with an intact nervous system is preferred because it permits use of human-scaled devices and controlled testing that cannot be replicated with computer modeling or bench-testing. Therefore, we established an in-house sheep platform for early-phase testing of deep brain stimulation (DBS) therapy concepts and devices within the movement disorders space. In twelve animals commercial DBS leads with four active contacts were targeted to the subthalamic nucleus (STN), a common stimulation target in Parkinson disease. Overall, DBS lead implantation was not associated with remarkable neurological or histopathological complications. Assessments of targeting using standard comparisons of pre and post-operative brain images indicated that accuracy was comparable to clinical experience. Methods were developed to quantitatively assess motor behavior of chronically-implanted animals in the awake state. In open and blinded settings, we consistently found that motor behavior responses to STN stimulation significantly depended on the stimulation contact selected and parameters tested, including voltage, pulse width and frequency. Quantitative electromyographic assessments confirmed the motor behavior findings. This work establishes in-house capabilities for controlled testing of emerging DBS therapy concepts and device prototypes. Further work is ongoing to test prototype devices and develop additional objective physiological monitoring methods and biomarkers

Основные вехи деятельности Народного управления религиозными делами мусульман Крыма

В статье рассматривается история создания системы народного управления в Крымской АССР, анализируется деятельность мусульманских съездов и уточняется политика советской власти по отношению к мусульманам в рассматриваемый исторический период

Microstructural analysis of varistors prepared from nanosize ZnO

ZnO nanoparticles were prepared by a solid state pyrolysis reaction of zinc acetate dihydrate and oxalic acid dihydrate at 500uC. The course of reaction at various temperatures was followed by XRD. Subsequently varistors were fabricated from this nano-ZnO material by solid state mixing with various oxide additives and sintering to 1050uC. The microstructure of the sintered material was studied using XRD, field emission SEM (FESEM), and EDX, and ZnO grains, bismuth rich regions and spinel phases were identified. Discs made from oxide doped nano- ZnO show considerably higher breakdown voltage (656¡30 V mm21) compared to those prepared from micrometre sized ZnO (410¡30 V mm21) and commercial varistors (454¡30 V mm21). However, varistors made from the nano-ZnO show very low densification and high leakage current, making them unsuitable for device fabrication

A comparison of baleen whale density estimates derived from overlapping satellite imagery and a shipborne survey

As whales recover from commercial exploitation, they are increasing in abundance in habitats that they have been absent from for decades. However, studying the recovery and habitat use patterns of whales, particularly in remote and inaccessible regions, frequently poses logistical and economic challenges. Here we trial a new approach for measuring whale density in a remote area, using Very-High-Resolution WorldView-3 satellite imagery. This approach has capacity to provide sightings data to complement and assist traditional sightings surveys. We compare at-sea whale density estimates to estimates derived from satellite imagery collected at a similar time, and use suction-cup archival logger data to make an adjustment for surface availability. We demonstrate that satellite imagery can provide useful data on whale occurrence and density. Densities, when unadjusted for surface availability are shown to be considerably lower than those estimated by the ship survey. However, adjusted for surface availability and weather conditions (0.13 whales per km2, CV = 0.38), they fall within an order of magnitude of those derived by traditional line-transect estimates (0.33 whales per km2, CV = 0.09). Satellite surveys represent an exciting development for high-resolution image-based cetacean observation at sea, particularly in inaccessible regions, presenting opportunities for ongoing and future research

Lines, Circles, Planes and Spheres

Let $S$ be a set of $n$ points in $\mathbb{R}^3$, no three collinear and not all coplanar. If at most $n-k$ are coplanar and $n$ is sufficiently large, the total number of planes determined is at least $1 + k \binom{n-k}{2}-\binom{k}{2}(\frac{n-k}{2})$. For similar conditions and sufficiently large $n$, (inspired by the work of P. D. T. A. Elliott in \cite{Ell67}) we also show that the number of spheres determined by $n$ points is at least $1+\binom{n-1}{3}-t_3^{orchard}(n-1)$, and this bound is best possible under its hypothesis. (By $t_3^{orchard}(n)$, we are denoting the maximum number of three-point lines attainable by a configuration of $n$ points, no four collinear, in the plane, i.e., the classic Orchard Problem.) New lower bounds are also given for both lines and circles.Comment: 37 page

Vision-based portuguese sign language recognition system

Vision-based hand gesture recognition is an area of active current research in computer vision and machine learning. Being a natural way of human interaction, it is an area where many researchers are working on, with the goal of making human computer interaction (HCI) easier and natural, without the need for any extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them, for example, to convey information. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. Hand gestures are a powerful human communication modality with lots of potential applications and in this context we have sign language recognition, the communication method of deaf people. Sign lan- guages are not standard and universal and the grammars differ from country to coun- try. In this paper, a real-time system able to interpret the Portuguese Sign Language is presented and described. Experiments showed that the system was able to reliably recognize the vowels in real-time, with an accuracy of 99.4% with one dataset of fea- tures and an accuracy of 99.6% with a second dataset of features. Although the im- plemented solution was only trained to recognize the vowels, it is easily extended to recognize the rest of the alphabet, being a solid foundation for the development of any vision-based sign language recognition user interface system