End-to-End Machine Learning Applications Framework for Earth Science

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Image Labeler: Label Earth Science Images for Machine Learning

The application of machine learning for image-based classification of earth science phenomena, such as hurricanes, is relatively new. While extremely useful, the techniques used for image-based phenomena classification require storing and managing an abundant supply of labeled images in order to produce meaningful results. Existing methods for dataset management and labeling include maintaining categorized folders on a local machine, a process that can be cumbersome and not scalable. Image Labeler is a fast and scalable web-based tool that facilitates the rapid development of image-based earth science phenomena datasets, in order to aid deep learning application and automated image classification/detection. Image Labeler is built with modern web technologies to maximize the scalability and availability of the platform. It has a user-friendly interface that allows tagging multiple images relatively quickly. Essentially, Image Labeler improves upon existing techniques by providing researchers with a shareable source of tagged earth science images for all their machine learning needs. Here, we demonstrate Image Labelers current image extraction and labeling capabilities including supported data sources, spatiotemporal subsetting capabilities, individual project management and team collaboration for large scale projects

Design and Construction of a NASA Airborne and Field Investigation Inventory

NASA conducts airborne and field investigations that produce a wealth of valuable research data. Unfortunately, this data is often scattered across individual scientist hard drives or NASA Distributed Active Archive Centers and it can be difficult to locate and retrieve. Although satellite data has been successfully consolidated by tools such as EarthData Search, airborne and field investigation data present unique challenges stemming from the variability of temporal, spatial, platform, and instrument metadata. To address these difficulties with data retrieval and metadata variability, the Interagency Implementation and Concepts Team established an Airborne Data Management Group to improve airborne data search, understanding, access, and use. Surveys have been conducted of end users in order to build query lists that will drive the augmentation and standardization of existing metadata. Detailed metadata was then laboriously compiled from present and historic airborne and field investigations to build a database that will enable intelligent data search and retrieval. The inventory structure and function will be described and demonstrated. The purpose of this presentation is to bring awareness to this effort, to highlight and describe the issues and complications in development, and to increase user interest prior to public release in 2020

Peripheral Ameloblastoma of Acanthomatous Variant: A Case Report

Ameloblastoma is an uncommon benign epithelial neoplasm of odontogenic origin that accounts for about 18% of the odontogenic tumour. It is a slow-growing, locally invasive but rarely metastatic tumour. Extraosseously occurring peripheral ameloblastoma is a rare variant that comprises about 2-10% of all ameloblastoma. We report a case of peripheral ameloblastoma in a 43-years old male patient affecting the mandibular canine-premolar region with a histopathological diagnosis of acanthomatous ameloblastoma. This case report emphasises the clinical, radiographic, and histological features of a rare variant that distinguishes it from the other similar appearing lesion on gingiva along with its various treatment modalities

Executive Summary: Understanding the lives of adolescents and young adults (UDAYA) in Uttar Pradesh, India (2015–16)

A program of research titled, “Understanding the lives of adolescents and young adults (UDAYA) in Bihar and Uttar Pradesh,” implemented by the Population Council, aimed to understand the factors that determine healthy transitions from childhood to adolescence and adulthood. The goal of UDAYA is to establish the levels, patterns, and trends in the situation of younger (10–14) and older (15–19) adolescents and assess factors that influence the quality of transitions they make. The specific objectives of UDAYA are: 1) to explore the situation of adolescents, with a focus on assessing the extent to which both younger and older adolescents have acquired a set of assets that can help them make a healthy, safe, and successful transition from adolescence to young adulthood in the states of Bihar and Uttar Pradesh; 2) to describe the extent to which the situation of adolescents has changed over time; and 3) to assess factors that determine the accumulation or loss of assets and the quality of transitions from adolescence to young adulthood. This report presents findings from Uttar Pradesh

Understanding the lives of adolescents and young adults (UDAYA) in Uttar Pradesh, India (2015–16)

The goal of the program of research titled “Understanding the lives of adolescents and young adults (UDAYA) in Bihar and Uttar Pradesh” is to establish the levels, patterns, and trends in the situation of younger (10–14) and older (15–19) adolescents and to assess factors that influence the quality of transitions they make. The study is designed to provide robust insights on how investments in adolescents influence their life course by the time they reach young adulthood; enable evidence-based decisions on the types of programs worthy of scale-up; and furnish important baseline indicators against which the long-term impact of programs can be measured. This report focuses on the findings from the first round of cross-sectional surveys of adolescents conducted in Uttar Pradesh, which confirm that adolescents are a heterogeneous group with correspondingly diverse needs. The findings of UDAYA show that adolescents face numerous challenges in making the transition to adulthood. The report identifies and discusses several programmatic areas for action to improve the situation of adolescents

Real-Time Traffic Management in Smart Cities: Insights from the Traffic Management Simulation and Impact Analysis

Using simulation and empirical data analysis, this research examines the efficacy of real-time traffic control in smart cities. Traffic data collected in real time from strategically placed sensors shows that traffic volume was reduced by 8.33% on Main Street after a traffic light timing change was implemented. Traffic volume at Highway Junction was also significantly reduced by 5.56% as a result of traffic sign updates. On the other hand, interventions result in a relatively small decrease in traffic volume (2.78%) in the City Center. The influence of these actions is shown by the traffic simulation models, which show average vehicle speeds rising from 25 to 28 mph on Main Street, 45 to 50 mph at Highway Junction, and 30 to 32 mph in the Residential Area. The aforementioned research highlights the crucial function of data-driven decision-making in traffic management, guaranteeing effective distribution of resources and quantifiable enhancements in urban mobility. Urban planners and legislators may use these discoveries to build smart cities that are more accessible, sustainable, and efficient

A longitudinal multi-centric cohort study assessing infant neurodevelopment delay among women with persistent postpartum depression in Nepal.

BACKGROUND: Infant neurodevelopment in the first years after birth is determined by multiple factors, including parental care and maternal mental wellbeing. In this study, we aim to assess the impact of persistent maternal depressive symptoms during the first 3 months postpartum on infant neurodevelopment at 6 months. METHODS: Using a longitudinal cohort design, 1253 mother-infant pairs were followed up at 7, 45, and 90 days to assess postpartum depressive symptoms using the Edinburgh Postnatal Depression Scale (EPDS); infants were followed up at 6 months to assess neuro-developmental status using the WHO's Infant and Young Child Development (IYCD) tool. A generalized linear regression model was used to assess the association between persistent postpartum depressive symptoms and infant neurodevelopmental delay at 6 months. A generalized linear mixed model (GLMM) with a hospital as a random intercept was used to assess the persistent postpartum depressive symptoms with an IYCD score. Linear regression was used to compare the IYCD scores between exposure groups. RESULTS: In the study population, 7.5% of mothers had persistent depressive symptoms, and 7.5% of infants had neurodevelopmental delay. Infants born to mothers with persistent depressive symptoms had a higher proportion of neurodevelopmental delay than infants born to women without persistent symptoms (48.6% vs 5.1%; p < 0.001). In the adjusted regression model, infants whose mothers had persistent depressive symptoms at 7, 45, and 90 days had a 5.21-fold increased risk of neurodevelopmental delay (aRR, 5.21; 95% CI, 3.17, 8.55). Mean scores in the motor domain (12.7 vs 15.2; p < 0.001) and language domain (6.4 vs 8.5; p < 0.001) were significant when a mother had persistent depression vs. no depression. Mean scores in the general behavioral domain (5.9 vs 10.4, p < 0.001) and the socio-emotional domain (15.4 vs 17.7; p < 0.001) were significantly different when a mother had persistent depression vs no persistent depression. CONCLUSIONS: Our results suggest that 6-month-old infants are at higher risk for neurodevelopment delays if their mother reports persistent symptoms of depression from 7 to 90 days postpartum. The neurodevelopmental delay can be observed in all functional domains. Preventive intervention to reduce maternal postpartum depression may reduce the impact on infant developmental delay

Understanding the lives of adolescents and young adults (UDAYA) in Bihar, India

The goal of the “Understanding the lives of adolescents and young adults (UDAYA) in Bihar and Uttar Pradesh” program is to establish the levels, patterns, and trends in the situation of younger (10–14) and older (15–19) adolescents and to assess factors that influence the quality of transitions they make. The study is designed to provide robust insights on how investments in adolescents influence their life course by the time they reach young adulthood; enable evidence-based decisions on the types of programs worthy of scale-up; and furnish important baseline indicators against which the long-term impact of programs can be measured. This report focuses on the findings from the first round of cross-sectional surveys of adolescents conducted during January–July 2016 in Bihar, which confirm that adolescents are a heterogeneous group with correspondingly diverse needs. While large proportions of adolescents are healthy and have been to school, our findings confirm that they face numerous challenges in making the transition to adulthood. The report identifies and discusses several programmatic areas for action to improve the situation of adolescents

Executive Summary—Understanding the lives of adolescents and young adults (UDAYA) in Bihar, India

A program of research titled, “Understanding the lives of adolescents and young adults (UDAYA) in Bihar and Uttar Pradesh,” implemented by the Population Council, aimed to understand the factors that determine healthy transitions from childhood to adolescence and adulthood. The goal of UDAYA is to establish the levels, patterns, and trends in the situation of younger (10–14) and older (15–19) adolescents and assess factors that influence the quality of transitions they make. The specific objectives of UDAYA are: 1) to explore the situation of adolescents, with a focus on assessing the extent to which both younger and older adolescents have acquired a set of assets that can help them make a healthy, safe, and successful transition from adolescence to young adulthood in the states of Bihar and Uttar Pradesh; 2) to describe the extent to which the situation of adolescents has changed over time; and 3) to assess factors that determine the accumulation or loss of assets and the quality of transitions from adolescence to young adulthood. This report presents findings from Bihar