Explore a novel approach for detecting credit card fraud using a semi-supervised attribute-driven graph representation. The technique leverages temporal aggregation and attention layers to automatically unify heterogeneous categorical attributes and detect fraudulent transactions without label leaka

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This research focuses on a system, known as ATPP, based on deep marked temporal point processes, designed for predicting mobile app usage patterns. By leveraging deep reinforcement learning frameworks and context-aware modules, the system aims to predict the next app a user will open, along with its

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NASA's Earth Applied Sciences Program updates include discussions on NRT data products and user needs from health and air quality programs. Updates on NISAR, TEMPO, SBG, AOS, and LANCE are highlighted, focusing on real-time data products for monitoring various atmospheric parameters. Future near rea

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The paradox of plankton challenges the theory that the number of species should match available resources, as seen in diverse plankton ecosystems. Explanations include resource partitioning, temporal and spatial heterogeneity, predation, adaptation to disturbance, and evolutionary processes. Biodive

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Understanding context is crucial in discourse analysis as it helps interpret the meaning of words based on physical, social, and psychological factors, as well as the temporal and spatial dimensions of communication. Three key types of context include situational, background knowledge, and co-textua

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Explore the realm of temporal data in TSQL queries, delving into the concepts of valid time and transaction time, different types of relations like snapshot and bi-temporal, and the significance of time dimensions in database management. Learn how temporal databases support time-related queries for

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This content delves into a game play-centric component framework that encompasses various elements such as holistic components, bounding components, temporal components, and structural components. It discusses the setup and execution of game sessions, different modes of play, player goals, events, a

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This paper introduces the Localised Adaptive Spatial-Temporal Graph Neural Network model, focusing on the importance of spatial-temporal data modeling in graph structures. The challenges of balancing spatial and temporal dependencies for accurate inference are addressed, along with the use of distri

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Dive into the world of adverbs of time to enhance chronology in writing. Discover various temporal adverbs, engage in a fun spelling activity, and craft sentences using these words to develop a better understanding of time frames within your writing.

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Phenomenology in social sciences focuses on studying the world as perceived by individuals, emphasizing the active and passive aspects of consciousness. This approach explores how consciousness shapes our perception of the world and highlights the intentional acts and embodied experiences that give

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Margaret, a 61-year-old woman, is exhibiting symptoms suggestive of behavioral variant frontotemporal dementia (FTD). Her changing personality, inappropriate behavior, and memory issues are signs of FTD. This type of dementia involves frontal and temporal lobe degeneration, leading to alterations in

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Studying everyday weather using infrared temperature detection from the environment can help in understanding the relationship between temperature variations of different objects and weather conditions. This activity involves creating hypotheses and testing them using an infrared temperature sensor.

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Prepositions play a vital role in modifying verbs, nouns, and adjectives, expressing spatial and temporal relationships within sentences. They can be categorized based on dimensions like point, surface, and area/volume. Additionally, prepositions like "to" and "for" have distinct functions in indica

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Patient Nicole Thomason, a 50-year-old female, presented with memory concerns and progressive cognitive decline. Initial imaging showed subtle changes, while recent PET CT revealed marked hypometabolism in specific brain regions indicative of advanced neurodegenerative disorder, potentially Alzheime

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Explore the intricate processes of synaptic transmission, neurotransmitters, spatial summation, temporal summation, chemical substances acting as neurotransmitters, and the effects of various factors and drugs on synapse function. Delve into the clinical significance of sedative-hypnotic drugs and t

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The spatial and temporal distribution of temperatures plays a crucial role in determining weather patterns, climates, vegetation zones, and wildlife habitats. Factors such as latitude, altitude, distance from the coast, and prevailing winds influence the distribution of temperature both horizontally

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The concept of welfare in Islam is deeply rooted in the teachings of the Holy Quran and the practices of Prophet Muhammad and his caliphs. Islam encompasses all aspects of life - social, political, economic, and personal - under its umbrella, emphasizing the importance of unity between temporal and

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The Islamic State in Medina established by Prophet Muhammad marked the beginning of a new era in Islamic history. It was the first welfare state, where divine teachings were implemented under his guidance. This state pioneered the integration of spiritual and temporal authorities, setting the founda

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Otitis externa, also known as swimmer's ear, is an inflammation of the external auditory canal. It can be acute or chronic and is common among individuals aged 7-14 years. The main causative organisms include Pseudomonas aeruginosa and Staphylococcus aureus. Risk factors include swimming in pools, h

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Environmental geography encompasses the study of ecosystems, temporal changes, global environmental issues, human impacts, degradation, and more. It examines human-nature interactions and spatial dynamics, providing essential tools for assessing environmental impacts and management strategies.

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Visual systems utilize saccades to focus on objects, impacting temporal perception. This study explores the effects of saccades and stimulus location on perceived time, presenting findings from an experiment on temporal perception mapping with fixed visual duration. The method of psychometric functi

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Temporal entities and the modeling of simultaneity in CIDOC CRM are under discussion at the upcoming meeting. The current approach considers the cardinality of certain relations, aiming to streamline the representation of time-spans and spacetime volumes. The evolving perspectives on the spatial com

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This content delves into the intricacies of temporal and spatial information models, covering concepts such as existence, presence, and spatiotemporal relationships. It explores how entities are identified, events are witnessed, and durations are defined within these models. The interplay between ti

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Explore advanced concepts in temporal point processes through the lens of human-centered machine learning. Topics include marked temporal point processes, independent identically distributed marks, dependent marks, and mutually exciting marks. Learn about stochastic dynamical systems such as the Sus

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This research focuses on efficient selectivity estimation on streaming spatio-textual data by incorporating local correlations. It addresses the challenge of estimating the number of objects in a query region with specific keywords in real-time. The study proposes novel approaches like ASP-tree and

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Explore the significance of GPUs in modern systems, with emphasis on their widespread adoption and performance improvements over the years. The focus is on the need for low-power adders in GPUs due to high arithmetic intensity in GPU workloads.

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Measurement plays a crucial role in data centers for fault diagnosis, traffic engineering, and attack detection. This study focuses on the concept of temporal coordination of measurement to overcome issues like reporting overhead and resource wastage. Various examples illustrate the importance of co

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Delve into the intriguing concepts surrounding temporal parts, paradoxes of time travel, the relationship between time and change, the impossibility of changing the past, and the arguments presented by David Lewis on the logical constraints of time travel. Discover the complexities of time perceptio

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This study conducted at the Indian Institute of Technology Roorkee focuses on modeling and understanding hydrological processes, particularly in estimating antecedent moisture in the Runoff Curve Number methodology. The research delves into the historical background of the Soil Conservation Service

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In the context of training recurrent networks, Epochwise Back Propagation Through Time involves dividing the data set into independent epochs, each representing a specific temporal pattern of interest. The start time of each epoch, denoted by 'no', is crucial for capturing the sequential dependencie

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This content delves into the broad-scale and cross-scale ecosystem processes on land and in the ocean, exploring their temporal variations influenced by underlying structures, biodiversity, and climate. It emphasizes the importance of considering structure, function, and climate response simultaneou

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The Law & Race Speaker Series on applying past laws to ongoing wrongs explores the complexities of seeking reparations for historic enslavement. The discussion delves into the inter-temporal considerations, touching on reparation claims by CARICOM, the impact of transatlantic chattel slavery on glob

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This study focuses on detecting deviant behavior in autonomous agents using spatio-temporal traces and behavior patterns. It explores the challenges of recognizing activities and representing complex behaviors, emphasizing the need for multi-view detectors and accumulators for comprehensive behavior

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In this informative content, various aspects of Intelligent Transportation Systems (ITS) are discussed, including safety applications to make drivers aware of unseen hazards, efficiency/convenience/mobility applications for on-route traffic and weather conditions, environmental/energy applications s

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Explore the concepts of temporal data models and time dimensions in databases, covering topics such as data structures, query languages, different timestamp types, valid time, and transaction time. Learn about the importance of supporting various time aspects in database systems and the complexities

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The Abstract Semi-Supervised Temporal Action Localization (SS-TAL) framework aims to enhance the generalization capability of action detectors using large-scale unlabeled videos. Despite recent progress, a significant challenge persists due to noisy pseudo-labels hindering efficient learning from ab

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Explore the definitions, relationships, and properties of spacetime volume, temporal information, and their components like time spans and entities. Learn about how events are witnessed and defined within specific spatiotemporal contexts.

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This research focuses on transportation mode recognition and user identification by analyzing GPS and accelerometer data. The study involves data collection from varying conditions with over 500 trips and 150 hours of data, processed using spatio-temporal techniques. Features such as mean, deviation

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This research paper discusses a novel spatio-temporal indexing scheme optimized for managing large-scale GPS data. The study introduces a stochastic process model to simulate user behavior in uploading GPS tracks, leading to a more efficient indexing scheme with smaller size, minimal update efforts,

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Explore approaches to enhance long-term energy models for integrating variable renewables in long-term planning. Key aspects include improving generation networks, ensuring sufficient capacity and reliability, flexibility, robustness to contingencies, and security considerations. Temporal matching o

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