Understanding Software in Research: Initial Results from Examining Nature and a Call for Collaboration

This lightning talk paper discusses an initial data set that has been gathered to understand the use of software in research, and is intended to spark wider interest in gathering more data. The initial data analyzes three months of articles in the journal Nature for software mentions. The wider activity that we seek is a community effort to analyze a wider set of articles, including both a longer timespan of Nature articles as well as articles in other journals. Such a collection of data could be used to understand how the role of software has changed over time and how it varies across fields.Comment: lightning talk submitted to WSSSPE5.2 (http://wssspe.researchcomputing.org.uk/wssspe5/

MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization

Memes are a powerful tool for communication over social media. Their affinity for evolving across politics, history, and sociocultural phenomena makes them an ideal communication vehicle. To comprehend the subtle message conveyed within a meme, one must understand the background that facilitates its holistic assimilation. Besides digital archiving of memes and their metadata by a few websites like knowyourmeme.com, currently, there is no efficient way to deduce a meme's context dynamically. In this work, we propose a novel task, MEMEX - given a meme and a related document, the aim is to mine the context that succinctly explains the background of the meme. At first, we develop MCC (Meme Context Corpus), a novel dataset for MEMEX. Further, to benchmark MCC, we propose MIME (MultImodal Meme Explainer), a multimodal neural framework that uses common sense enriched meme representation and a layered approach to capture the cross-modal semantic dependencies between the meme and the context. MIME surpasses several unimodal and multimodal systems and yields an absolute improvement of ~ 4% F1-score over the best baseline. Lastly, we conduct detailed analyses of MIME's performance, highlighting the aspects that could lead to optimal modeling of cross-modal contextual associations.Comment: 9 pages main + 1 ethics + 3 pages ref. + 4 pages app (Total: 17 pages

A study of skin closure of surgical wound by subcuticular sutures with polyglactin 910 fast (rapide vicryl) in planned surgery

Background: The skin is the largest and among the most complex organs of the body. Although the skin functions simply as a protective barrier to interface with our environment, its structure and physiology are complex. Suturing is commonly used today as a mean by which wounds are closed to prevent infection and fasten healing with minimal scarring. Cosmetic results of healed wound are also important and as awareness is increasing among general population, they are more concerned with cosmetic scar. Various techniques are developed to give cosmetically better scar, like subcuticular suture, adhesive tapes, staplers, etc.Methods: Study was randomized, prospective, observational and longitudinal including 100 patients, selected according to inclusion criteria.Results: Cosmetic result of the study were good; 87% patients were having good to excellent cosmetic results. And 13% patients were having scar which was cosmetically not good (scar was either hypertrophied or thickened). complication was not significant (only 3% having on post-operative day 5).Conclusions: Surgical wound closure with subcuticular suture with absorbable suture material gives excellent cosmetic results, cheaper and cost-effective compare to other technique of wound closure having similar cosmetic result. As the removal of suture is not required, no follow up visit needed, and it saves the extra time and expenditure of patient

Role of triple assessment modalities in diagnosis of palpable breast lump

Background: One fourth of women suffer from breast disease in their lifetime. Carcinoma of breast is the second most common cancer in the world. Timely and accurate diagnosis of breast lump with early intervention can be life saving. There are various modalities for the diagnosis of breast lump such as USG, FNAC and Mammography, MRI etc. but none of them is perfect. There are numerous reports suggesting that if the results of clinical assessment, mammography and FNAC are all combined, the diagnostic accuracy is nearly 100%. Furthermore, these techniques also provide information about tumor size, number, extent and grade preoperatively.Methods: Study was randomized, prospective, observational and longitudinal including 100 patients, selected according to inclusion criteria.Results: The sensitivity, specificity and accuracy of triple test in present study were 98.68%, 87.5%, and 96% respectively. Out of 100, 76 patients were confirmed as having benign lesion and 24 patients having malignant lesion by histopathology examination.Conclusions: Results of triple assessment are same as the results by histopathology examination in majority of cases. It is highly accurate, can be used as a confirmatory diagnostic tool for breast lump, thus there is no need to perform diagnostic open biopsy for breast lump

Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images

Autonomous driving requires efficient reasoning about the location and appearance of the different agents in the scene, which aids in downstream tasks such as object detection, object tracking, and path planning. The past few years have witnessed a surge in approaches that combine the different taskbased modules of the classic self-driving stack into an End-toEnd(E2E) trainable learning system. These approaches replace perception, prediction, and sensor fusion modules with a single contiguous module with shared latent space embedding, from which one extracts a human-interpretable representation of the scene. One of the most popular representations is the Birds-eye View (BEV), which expresses the location of different traffic participants in the ego vehicle frame from a top-down view. However, a BEV does not capture the chromatic appearance information of the participants. To overcome this limitation, we propose a novel representation that captures various traffic participants appearance and occupancy information from an array of monocular cameras covering 360 deg field of view (FOV). We use a learned image embedding of all camera images to generate a BEV of the scene at any instant that captures both appearance and occupancy of the scene, which can aid in downstream tasks such as object tracking and executing language-based commands. We test the efficacy of our approach on synthetic dataset generated from CARLA. The code, data set, and results can be found at https://rebrand.ly/APP OCC-results

Spontaneous intravesical knotting of infant feeding tube: a rare case report

Infant Feeding tube is universally used in Paediatric Patients for many diagnostic as well as therapeutic purposes. Intravesical knotting of IFT is rare but having significant morbidity. We here present such a rare case report in 6 month old patient treated endoscopically. Sometimes it is very difficult to remove knotting with various techniques discussed later, but it may cause more trauma to urethra. There are only few reported cases worldwide about it in few journals. But Endoscopic removal being safe among all. In such Urological Emergency, always early Identification is most important to prevent further complications. As neonate and infant’s urethra is small compared to the available smallest Foley catheter (8Fr), a 5 Fr and 8 Fr feeding tubes are practical alternatives to drain urine from the bladder. Intravesical catheter knotting of small feeding tubes placed as urinary diversion from the bladder is rare. The first case of catheter knotting in a pediatric patient was reported in 1976

Giant prostatic hyperplasia: surgical treatment a rare case

We report a rare case of giant prostatic hyperplasia in an 80-year-old male patient. MRI revealed a markedly enlarged prostate measuring 814gm.We have performed suprapubic open prostatectomy (Transvesical). The adenoma was completely enucleated in one piece which was 11cm×16cm in size and weighed 504gm