839 research outputs found

    SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars

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    In this paper, we address the challenging problem of data association for underwater SLAM through a novel method for sonar image correspondence using learned features. We introduce SONIC (SONar Image Correspondence), a pose-supervised network designed to yield robust feature correspondence capable of withstanding viewpoint variations. The inherent complexity of the underwater environment stems from the dynamic and frequently limited visibility conditions, restricting vision to a few meters of often featureless expanses. This makes camera-based systems suboptimal in most open water application scenarios. Consequently, multibeam imaging sonars emerge as the preferred choice for perception sensors. However, they too are not without their limitations. While imaging sonars offer superior long-range visibility compared to cameras, their measurements can appear different from varying viewpoints. This inherent variability presents formidable challenges in data association, particularly for feature-based methods. Our method demonstrates significantly better performance in generating correspondences for sonar images which will pave the way for more accurate loop closure constraints and sonar-based place recognition. Code as well as simulated and real-world datasets will be made public to facilitate further development in the field

    The Paradox of Chocolate.

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    If any man has drunk a little too deeply from the cup of physical pleasure; if he has spent too much time at his desk that should have been spent asleep ; if his fine spirits have become temporarily dulled; if he finds the air too damp, the minutes too slow, and the atmosphere too heavy to withstand; if he is obsessed by a fixed idea which bars him from any freedom of thought: if he is any of these poor creatures, we say, let him be given a good pint of amber-flavoured chocolate and marvels will be performed” — Anthelme Brillat-Savarin (1755–1826) Scientifically proven to be a mood elevator due to its ability to promote serotonin in the brain, chocolate is popular for it s aphrodisiac, relaxing, euphoric and stimulating characteristics. Renowned as a universally craved food, a majority of chocolate cravers, or chocoholics, have failed to find any close substitutes that can replace this divine invention (Parker, Parker and Brotchie, 2006). Chocolate holds the ability to transcend beyond merely a food, stimulating irrational behavioural tendencies within people even turning them into addicts. The history of chocolate dates back to approximately 600 AD when the cocoa beans were discovered in the lowlands of south Yucatan in the Maya. It was initially consumed as a beverage known as chocolate only by the emperors until it was developed as edible chocolate. Chocolate had an unpleasant taste and its transformation to a desirable flavour is an interesting historical mystery. Chemically, chocolate is composed of cocoa mass, cocoa butter and added sugar. Cocoa mass forms the base product which is obtained by processing the cocoa bean while cocoa butter is the natural fat fro m the cocoa bean which melts at room temperature to provide the creamy “melt in the mouth” sensation. Sugar was added as a primary ingredient by Europeans to appeal to their palate when chocolate was introduced from America (Parker, Parker and Brotchie, 2006). The present day chocolate industry is a mature and vibrant one consistently generating sale

    Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping

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    Underwater robots typically rely on acoustic sensors like sonar to perceive their surroundings. However, these sensors are often inundated with multiple sources and types of noise, which makes using raw data for any meaningful inference with features, objects, or boundary returns very difficult. While several conventional methods of dealing with noise exist, their success rates are unsatisfactory. This paper presents a novel application of conditional Generative Adversarial Networks (cGANs) to train a model to produce noise-free sonar images, outperforming several conventional filtering methods. Estimating free space is crucial for autonomous robots performing active exploration and mapping. Thus, we apply our approach to the task of underwater occupancy mapping and show superior free and occupied space inference when compared to conventional methods.Comment: 7 pages, 13 figures. This paper is published at 2023 IEEE International Conference on Robotics and Automation (ICRA

    Determining the osmolality of seminal fluid aids in the rapid diagnosis of the fertilizing potential of spermatozoa

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    Multi-Radar Inertial Odometry for 3D State Estimation using mmWave Imaging Radar

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    State estimation is a crucial component for the successful implementation of robotic systems, relying on sensors such as cameras, LiDAR, and IMUs. However, in real-world scenarios, the performance of these sensors is degraded by challenging environments, e.g. adverse weather conditions and low-light scenarios. The emerging 4D imaging radar technology is capable of providing robust perception in adverse conditions. Despite its potential, challenges remain for indoor settings where noisy radar data does not present clear geometric features. Moreover, disparities in radar data resolution and field of view (FOV) can lead to inaccurate measurements. While prior research has explored radar-inertial odometry based on Doppler velocity information, challenges remain for the estimation of 3D motion because of the discrepancy in the FOV and resolution of the radar sensor. In this paper, we address Doppler velocity measurement uncertainties. We present a method to optimize body frame velocity while managing Doppler velocity uncertainty. Based on our observations, we propose a dual imaging radar configuration to mitigate the challenge of discrepancy in radar data. To attain high-precision 3D state estimation, we introduce a strategy that seamlessly integrates radar data with a consumer-grade IMU sensor using fixed-lag smoothing optimization. Finally, we evaluate our approach using real-world 3D motion data

    Sexual Well-being Among Medical Residents at a Community-Based Academic Institution

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    Introduction: Medical residency training is demanding, with challenging workloads, long hours, and excessive stress that impact residents’ physical, mental, and emotional health. Although the concept of health and wellness in residency has become more widespread across programs, few studies have explored the sexual health of medical residents during training. Methods: To better understand the current state of sexual health and well-being of resident physicians, physicians in training across Internal Medicine, Pediatrics, Family Medicine, OB/GYN, Transitional Year, and General Surgery completed anonymous surveys that incorporated validated questionnaires, including the International Index of Erectile Function (IIEF) and the Index of Premature Ejaculation (IPE) for males, and the female Sexual Function Inventory (FSFI) for females. Results: A total of 69 out of the potential 100 respondents completed the survey. Most respondents (63.8%) reported a negative impact of medical residency training on their sexual wellness, with married respondents experiencing more dissatisfaction than single respondents (77.8% versus 46.7%; p = 0.02). Higher satisfaction with frequency of intercourse was seen among residents who work less than 60 hours per week (35.7% versus 12.5%; p = 0.02). Moreover, cis males endorsed a lesser impact of sexual wellness on relationship satisfaction compared to cis females (6.9% versus 33.3%; p = 0.01). Compared to their heterosexual counterparts, non-heterosexual respondents reported a larger impact of sexual well-being on relationship satisfaction (75.0% versus 15.5%; p = 0.001). Single respondents displayed greater dissatisfaction (30.0%) with the number and/or type of sexual partners than their counterparts who were married (0.0%; p \u3c 0.001) or in committed relationships (0.0%; p = 0.001). Sexually inactive respondents reported little impact of their sexual well-being on work performance (37.5% versus 0.0%; p = 0.004) compared to their sexually active colleagues, but a higher level of dissatisfaction with the frequency of intercourse (75.0% versus 12.3%; p = 0.007). Conclusion: Recent studies have demonstrated negative impacts of medical training on physical, emotional, and mental well-being. This study demonstrates additional negative impacts on sexual well-being. Multi-institutional, large cohort studies are needed to further assess physician in-training sexual wellness and develop appropriate interventions

    ANTI-CANCER POTENTIAL OF POLYSACCHARIDE ISOLATED FROM METHANOLIC EXTRACT OF TINOSPORA CORDIFOLIA STEM BARK

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    Objective: The exploration of the anticancer potential of polysaccharide isolated from the methanolic extract of Tinospora cordifolia (T. cordifolia) stem bark against breast cancer in DMBA-induced female albino Wistar rat models were examined by various hematological parameters. Methods: Analysis of Red blood cell (RBC), White blood cell (WBC) and platelet level, Tumor markers Carcino Embryonic Antigen (CEA) and Cancer Antigen 15.3 (CA 15.3) in the serum, was done in the normal, cancer and compound treated rats using specific kits. Histological studies were performed to examine the changes in the tissue morphology and cell patterns in breast tissue. Results: The decreased levels of RBC, WBC and platelets in 7,12-Dimethylbenz [a] anthracene (DMBA)-induced breast cancer (Group III) animals were revived to the normal conditions in polysaccharide treated breast cancer (Group IV) animals as that of normal (Group I). The level of tumor markers CEA and CA 15.3, was found elevated in serum of DMBA-induced breast cancer groups (Group III) when compared to their levels in the normal groups (Group I) whereas polysaccharide treatment (Group IV) prevented this rise in the levels of tumor markers. The histological studies on the breast tissue samples of all the groups showed the appropriate features where the normal (Group I) animals were characterized with normal cells uniformly arranged without any change in orientation and morphology, DMBA-induced cancer (Group III) animals showed an improper orientation of cells arranged as glandular structures, as nest, or cords of various sizes or as solid sheets foci of necrosis in some areas with margins infiltrating, pushing, circumcised or mixed and the polysaccharide treated (Group IV) animals showed results resembling that of the normal (Group I) animals. Conclusion: Thus, polysaccharide is proved as an effective chemo preventive agent against breast cancer

    Beliefs and practices of Malaysian Indians on the concept of the divine

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    A belief system is a subpart of the cultural elements of society. It is divided into a number of types. One type of belief shared universally is the one relating to the concept of the divine. Even though this is a universal belief, its practice differs from one group to another, until it forms a type of identity unique to that community. This phenomenon also occurs among Malaysian Indians, where the belief principles and practices relating to the concept of the divine are unique. This is seen in current study, based on Malaysian Tamil dramas shown on the Astro Vaanavil channel. This study will most likely contribute to existing literature on the belief system of Malaysian Indians relating to the concept of the divin
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