We report on two patients with ectopic infraorbital nerve and canal located in a maxillary sinus septum. This very rare anatomic variation may possibly generate complications during sinus surgery if ...it passes unnoticed during the preoperative CT work-up.
We report the case of a 28-year-old man who presented at the emergency department with recent left painful scrotal swelling, without history of genitourinary infection or trauma. On physical ...examination, left scrotal swelling with nodular palpation was noted. Contrast enhanced sonography demonstrated nodular vascularized thickening of the tunica vaginalis. Surgical exploration revealed multiples solid nodules of the vaginal wall, with, at frozen section analysis, fibroblastic tissue, vessels and chronic inflammation without malignity, suggestive of fibrous pseudotumor of the tunica vaginalis. We discuss the sonographic aspect of this rare entity and the difficulty to establish a diagno- sis of benignity without surgical exploration.
We report mutimodal imaging findings of an extraskeletal chondroma of the Hoffa's fat pad. Plain radiographic or CT scan studies demonstrate a large soft tissue mass with calcifications and central ...ossification, characteristic features of these tumors. Magnetic resonance (MR) imaging shows heterogeneous signal due to polymorphic histopathological appearance. Correlation between MR imaging and plain film or CT findings is essential to restrict differential diagnosis. The knowledge of this particular pathology is the key to the diagnosis.
We demonstrate a new type of analysis for the DRIFT-IId directional dark matter detector using a machine learning algorithm called a Random Forest Classifier. The analysis labels events as signal or ...background based on a series of selection parameters, rather than solely applying hard cuts. The analysis efficiency is shown to be comparable to our previous result at high energy but with increased efficiency at lower energies. This leads to a projected sensitivity enhancement of one order of magnitude below a WIMP mass of 15 GeV c\(^{-2}\) and a projected sensitivity limit that reaches down to a WIMP mass of 9 GeV c\(^{-2}\), which is a first for a directionally sensitive dark matter detector.
Prolonged disability resulting from road traffic injuries (RTIs) contributes significantly to morbidity and disease burden. A good understanding of the prevalence and the level of disability of ...orthopaedic injuries in developing countries is crucial for improvement; however, such data are currently lacking in Rwanda.
To determine the prevalence and levels of disability of 2 years post-road traffic orthopaedic injuries in Rwanda.
A multicentre, cross-sectional study from five Rwandan referral hospitals of 368 adult RTI victims' sustained from accidents in 2019. Between 02 June 2022, and 31 August 2022, two years after the injury, participants completed the World Health Organization Disability Assessment Schedule (WHODAS 2.0) Questionnaire for the degree of impairment and the Upper Extremity Functional Scale and Lower-Extremity Functional Scale forms for limb functional evaluation. Descriptive, inferential statistics Chi-square and multinomial regression models were analysed using R Studio.
The study's mean age of the RTOI victims was 37.5 (±11.26) years, with a sex ratio M: F:3: 1. The prevalence of disability following road traffic orthopedic injury (RTOI) after 2 years was 36.14%, with victims having WHODAS score > 25.0% and 36.31% were still unable to return to their usual activities. Age group, Severe Kampala Trauma Score and lack of rehabilitation contributed to disability. The most affected WHODAS domains were participation in society (33%) and life activities (28%).
The prevalence and levels of disability because of RTOI in Rwanda are high, with mobility and participation in life being more affected than other WHODAS domains. Middle-aged and socio-economically underprivileged persons are the most affected.
This study showed that a good rehabilitation approach and economic support for the RTI victims would decrease their disabilities in Rwanda.
Economists originally developed methods to assess financial catastrophe using total or aggregate out-of-pocket health spending. Aggregate out-of-pocket health spending is financially catastrophic ...when it exceeds a fixed proportion (i.e., threshold) of a household's total income or expenditure in a given period. However, these methods are now applied to assess financial catastrophe in disease- or service-specific rather than aggregate out-of-pocket health spending without using disease- or service-specific thresholds. This paper argues that not using disease- or service-specific thresholds for such assessments is misleading and underestimates the burden of financial catastrophe, especially among households from poorer backgrounds. It then proposed disease- or service-specific catastrophic payment thresholds, applied them to Nigeria and found that financial catastrophe was underestimated for the five service groups considered. The paper stresses the importance of using disease- or service-specific thresholds and avoiding unadjusted thresholds, which may leave poorer households behind as financially protected.
Nowadays, as the availability of tiny, low-cost microcomputer increases at a high level, mobile robots are experiencing remarkable enhancements in hardware design, software performance, and ...connectivity advancements. In order to control Turtlebot 2, several algorithms have been developed using the Robot Operating System(ROS). However, ROS requires to be run on a high-cost computer which increases the hardware cost and the power consumption to the robot. Therefore, design an algorithm based on low-cost hardware is the most innovative way to reduce the unnecessary costs of the hardware, to increase the performance, and to decrease the power consumed by the computer on the robot. In this paper, we present a path-finding algorithm for TurtleBot 2 based on low-cost hardware. We implemented the algorithm using Raspberry pi, Windows 10 IoT core, and RPLIDAR A2. Firstly, we used Raspberry pi as the alternative to the computer employed to handle ROS and to control the robot. Raspberry pi has the advantages of reducing the hardware cost and the energy consumed by the computer on the robot. Secondly, using RPLIDAR A2 and Windows 10 IoT core which is running on Raspberry pi, we implemented the path-finding algorithm which allows TurtleBot 2 to navigate from the starting point to the destination using the map of the area. In addition, we used C# and Universal Windows Platform to implement the proposed algorithm.
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