A Taxonomy of Deep Convolutional Neural Nets for Computer Vision

Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features. However, of late, deep learning techniques have offered a compelling alternative -- that of automatically learning problem-specific features. With this new paradigm, every problem in computer vision is now being re-examined from a deep learning perspective. Therefore, it has become important to understand what kind of deep networks are suitable for a given problem. Although general surveys of this fast-moving paradigm (i.e. deep-networks) exist, a survey specific to computer vision is missing. We specifically consider one form of deep networks widely used in computer vision - convolutional neural networks (CNNs). We start with "AlexNet" as our base CNN and then examine the broad variations proposed over time to suit different applications. We hope that our recipe-style survey will serve as a guide, particularly for novice practitioners intending to use deep-learning techniques for computer vision.Comment: Published in Frontiers in Robotics and AI (http://goo.gl/6691Bm

Effect of antibiotic pack on hard palate after fistula closure on nasal airflow and reoccurrence rate

This parallel blocked randomized controlled trial was done in two groups of 30 patients each to determine if placement of an antibiotic oral pack on the hard palate after hard palatal fistula repair reduces nasal air emission and fistula re-occurrence. Group A had an oral pack on the hard palate for 5 days post-operatively while group B did not. In group A, percentage of nasal air emission was tested using nasometry with and without pack. Paired t-tests were performed to compare nasal emissions for patients with and without pack. Recurrence of fistulas after 6 months between group A and B was tested using odds ratio. Effect of nasal air emission on fistula rates was tested using paired t-tests. There was a significant increase (p < 0.0001) in nasal emission after removal of the pack in group A. Fistula re-occurrence tended to be higher in group B (no pack) than group A but this was not significant (p = 0.242). There was no correlation between nasal air emission and fistula rates. In patients with recurrent fistulae, placement of an oral pack after fistula repair diminishes nasal air emission. Whether this has an impact on re-occurrence of fistulae needs to be investigated further

FORMULATION AND EVALUATION OF VILDAGLIPTIN SUSTAINED RELEASE MATRIX TABLETS

Vildagliptin belongs to a class of orally active anti-diabetic drug which inhibits dipeptidyl peptidase-4(DPP-4) and to potentiate the secretion of insulin in the β-cells, there by decreasing blood glucose level. Vildagliptin is a short half life drug so it needs to formulate into sustained release dosage form to reduce dose frequency for patient compliance. Among various techniques, formulation of matrix tablets using matrix formers is a simple and industrially useful technique in the design of sustained release drug delivery systems. In the present study, an attempt has been made to develop sustained release matrix tablets of Vildagliptin using hydrophilic polymers like HPMC (k15M, K100M) and Carbapol by using wet granulation method. Dissolution study was done by using type-II dissolution apparatus gave good results with combination of HPMC K100 M and Carbapol. Drug release from the formulation follows zero order, first order, Higuchi's equation, and korsemeyer's equation

Leadless Cardiac Pacemakers Back to the Future

AbstractDespite significant advances in battery longevity, lead performance, and programming features since the first implanted permanent pacemaker was developed, the basic design of cardiac pacemakers has remained relatively unchanged over the past 50 years. Because of inherent limitations in their design, conventional (transvenous) pacemakers are prone to multiple potential short- and long-term complications. Accordingly, there has been intense interest in a system able to provide the symptomatic and potentially lifesaving therapies of cardiac pacemakers while mitigating many of the risks associated with their weakest link—the transvenous lead. Leadless cardiac pacing represents the future of cardiac pacing systems, similar to the transition that occurred from the use of epicardial pacing systems to the familiar transvenous systems of today. This review summarizes the current evidence and potential benefits of leadless pacing systems, which are either commercially available (in Europe) or under clinical investigation

Real-Time Tracking of Wildlife with IoT Solutions in Movement Ecology

Movement ecology has grown increasingly significant in the backdrop of global environmental changes, emphasizing the importance of understanding animal mobility patterns. The integration of Internet of Things (IoT) technology offers transformative potential for real-time wildlife tracking, addressing limitations of traditional methods like radio telemetry. Through IoT devices, researchers can acquire immediate, high-resolution datasets spanning vast distances, capturing multiple data points such as environmental conditions and physiological parameters. Existing implementations range from monitoring elephant movements in Africa to observing bird migrations. However, while promising, challenges like battery longevity, device weight, data management, and animal safety persist. As technological advances emerge, future prospects include more efficient, integrated solutions combining IoT with other technologies, poised to reshape and enrich our understanding of wildlife movement

Structural basis for bending of organic crystals

Bending is observed in organic crystals when the packing is anisotropic in such a way that strong and weak interaction patterns occur in nearly perpendicular directions

Impacts of Brownian Motion, Thermophoresis and Ohmic Heating on Chemically Reactive Pulsatile MHD Flow of Couple Stress Nanofluid in a Channel

354-366In this study, the magnetohydrodynamic pulsatile flow of a couple stress nanofluid in a channel has been discussed in detail by adopting Buongiorno’s nanofluid model. The impacts of Brownian motion, thermophoresis, Ohmic heating, viscous dissipation and chemical reaction on heat, and mass transfer of blood based nanofluid are considered. The current concept is significant in the field of nano-drug supply, dynamics of physiological fluids, and biomedicines. The governing partial differential equations are converted into a set of ODEs (ordinary differential equations) by employing a perturbation scheme. The resulting non-dimensional system is numerically interpreted to determine the impact of various emerging parameters on flow variables by utilizing the shooting technique with the support of the Runge-Kutta procedure. The outcomes reveal that the temperature rises with the magnifying viscous dissipation, Brownian motion, and thermophoresis parameters, whereas the opposite trend can be seen with an escalation in the couple stress parameter. Heat transfer rate is an accelerating function of Brownian motion and thermophoresis parameters while it is a decelerating function of couple stress parameter and Hartmann number. Mass transfer rate declines with increasing values of thermophoresis parameter and Lewis number