User experience in modern content discovery applications critically depends on high-quality personalized recommendations. However, building systems that provide such recommendations presents a major challenge due to massive pool of items, large number users, and requirements for be responsive user actions generated demand real-time. Here we present Pixie, scalable graph-based real-time recommender system developed deployed at Pinterest. Given set user-specific pins as query, Pixie selects...

Abstract We report results from an Astro-Ph Target of Opportunity (ToO) observation 4U 1626-67, performed on May 18, 2023, soon after the discovery torque reversal to spin-down in source. The X-ray emission exhibited significant dependence both energy and state. This work highlights comparison timing features 1626-67 with a previous 2018, when neutron star was spin-up power density spectrum (PDS) 2023 comprised sharp peak corresponding νNS ∼130 mHz pulsations along prominent quasi-periodic...

In this paper, we propose a fully automatic method to register football broadcast video frames on the static top view model of playing surface. Automatic registration has been difficult due difficulty finding sufficient point correspondences. We investigate an alternate approach exploiting edge information from line markings field. formulate problem as nearest neighbour search over synthetically generated dictionary map and homography pairs. The synthetic generation allows us exhaustively...

At the core of Network Functions Virtualization lie (NFs) that run co-resident on same server, contend over its hardware resources and, thus, might suffer from reduced performance relative to running alone hardware. Therefore, efficiently manage and meet SLAs, NFV orchestrators need mechanisms predict contention-induced degradation. In this work, we find prior prediction frameworks poor accuracy modern architectures NFs because they treat memory as a monolithic whole. addition, show that, in...

Abstract Objectives Fundoscopy can be challenging for non-ophthalmologists. For emergency physicians, non-mydriatic fundus photography is superior to other forms of ophthalmoscopy in sensitivity, specificity, and inter-examination agreement. We report on a prospective cross-sectional study evaluating the use as triage telemedicine tool patients with vision loss Canadian setting. Methods Images both eyes were obtained by non-ophthalmologist using handheld, camera shared fellowship-trained...

Air and noise pollution is a rapidly growing issue these days. quality monitoring critical for bright future healthy life all of us. In this paper present an air system that uses the internet things (IoT) to monitor check real-time in specific location smart environment. It detects dangerous poisonous chemicals such as NH <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> , benzene, smoking, CO...

Malabsorptive bariatric surgery is rapidly becoming a major cause of copper deficiency given the increasing prevalence these procedures for morbid obesity. Acquired can present with clinically significant hematologic and neurological manifestations. Although manifestations are reversible, improvement after supplementation therapy unusual many patients remain debilitated may only experience, at best, stabilization Here we case an undiagnosed several years gastric bypass surgery, in patient...

User experience in modern content discovery applications critically depends on high-quality personalized recommendations. However, building systems that provide such recommendations presents a major challenge due to massive pool of items, large number users, and requirements for be responsive user actions generated demand real-time. Here we present Pixie, scalable graph-based real-time recommender system developed deployed at Pinterest. Given set user-specific pins as query, Pixie selects...

The recognition of human activities is one the key problems in video understanding. Action challenging even for specific categories videos, such as sports, that contain only a small set actions. Interestingly, sports videos are accompanied by detailed commentaries available online, which could be used to perform action annotation weakly-supervised setting. For case Cricket we address challenge temporal segmentation and actions with semantic descriptions. Our solution consists two stages. In...

Even though, a lot of research has already been done on Machine Translation, translating complex sentences stumbling block in the process.To improve performance machine translation sentences, simplifying becomes imperative.In this paper, we present rule based approach to address problem by Hindi into multiple simple sentences.The sentence is split using clause boundaries and dependency parsing which identifies different arguments verbs, thus changing grammatical structure way that semantic...

This work proposes a trajectory clustering-based approach for segmenting flow patterns in high density crowd videos. The goal is to produce pixel-wise segmentation of video sequence (static camera), where each segment corresponds different motion pattern. Unlike previous studies that use only vectors, we extract full trajectories so as capture the complete temporal evolution region (block) sequence. extracted are dense, complex and often overlapping. A novel clustering algorithm developed...

Precision sensing through IoT plays an integral role at various stages of crop cultivation to measure the ambient environment and take appropriate action maximise yield. For become pervasive, deployments on farm have overcome multiple limitations around cost, connectivity, flexibility. The solutions be affordable justify their value, transparent flaky connectivity in remote areas, suit modalities associated with different crops. We developed a portable platform edge involving mobile...

The prevalent audio-based Voice Activity Detection (VAD) systems are challenged by the presence of ambient noise and sensitive to variations in type noise. use information from visual modality, when available, can help overcome some problems VAD. Existing visual-VAD however do not operate directly on whole image but require intermediate face detection, landmark detection subsequent facial feature extraction lip region. In this work we present an end-to-end trainable Hierarchical Context...

Large pre-trained language models such as GPT-3, Codex, and Google's model are now capable of generating code from natural specifications programmer intent. We view these developments with a mixture optimism caution. On the optimistic side, large have potential to improve productivity by providing an automated AI pair for every in world. cautionary since do not understand program semantics, they offer no guarantees about quality suggested code. In this paper, we present approach augment...

Abstract Background Ampullary (AMP‐A) and duodenal adenocarcinomas (DA) are rare tumors. The literature regarding treatment outcome is very limited. objective of this project to compare the outcomes AMP‐A DA. Methods records for DA patients between July 1995 2012 at Emory University were reviewed demographics, pathology, treatment, survival. Survival rates estimated by Kaplan–Meier method compared with log‐rank test. A Cox proportional hazard model was fitted estimate adjusted effect versus...