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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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 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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Fordyce granules and linea alba are common variations found on the surface of the lips and cheeks. Fordyce spots are enlarged oil glands that appear as white or yellow bumps, while linea alba is a white ridge of calloused tissue. These conditions are harmless but may cause concerns. Cheek biting and

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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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Discover in this lesson whether plants display variations in traits through the measurement of plant lengths. Students analyze data tables of carrots and leaves to observe trait variations and discuss patterns found in bar graphs and data tables. The focus is on understanding how to identify and int

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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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Structural isomerism plays a crucial role in polymer chemistry by distinguishing polymers with the same molecular formula but different atom connectivity. Isomeric polymers can stem from different monomers or polymerization routes, resulting in variations in properties. Stereoisomerism, on the other

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Explore the justification of main impact quantities in IWG Measurement Uncertainties session held on 6th and 7th October 2020. The analysis includes factors such as deviation from centered driving, start of acceleration, speed variations, load variations, background noise, temperature effects on noi

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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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Time slices are representative time periods used in long-term energy system models to capture temporal variations in supply and demand, considering factors like seasonality and peak load requirements. Dividing each year into slices helps in detailed analysis with minimal computational cost and effic

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This research focuses on deconvolving snow cover and snowfall passive microwave signals using GPM data. The study employs a data-driven approach to estimate snowfall using a nested K-nearest algorithm and observed irregularities. By analyzing variations in brightness temperatures (Tbs) over snow-cov

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Understanding pathological gait variations related to hip joint differences is crucial in gait analysis. Excessive sagittal, coronal, and transverse plane motions impact stance and swing phases, leading to deviations in gait patterns. Excess flexion, limited flexion, past retraction, excess adductio

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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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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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An advanced framework integrating terrestrial and coastal ocean observations and modeling is developed to support carbon management decisions. The study focuses on assessing the impacts of land use, human activities, and climate scenarios on the carbon cycle, particularly dissolved inorganic carbon

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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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The case of Rock v. MWB [2018] UKSC 24 holds significant importance due to the ruling by Lord Sumption and the Supreme Court's decision regarding contract variations. It revolved around a dispute between MWB, a serviced office provider, and Rock Advertising over alleged contractual variations made o

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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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Detailed research conducted on the migration behavior and distribution of winter and summer steelhead radio-tagged at Willamette Falls Dam from 2012 to 2014. The study covers a wide range of topics including tributary escapement, Kelting behavior, repeat spawning, spatial and temporal overlap of ste

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Explore the connection between stoichiometric plasticity and trace metal distribution, investigate microbial acquisition systems, analyze modes of metal uptake, and address co-limitations and interactions within organisms. Utilize molecular tools to enhance knowledge on trace element bioavailability

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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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Exploring the significance of trait variations among desert beetles, this lesson delves into why variations matter and how they impact survival in the desert environment. Through activities and discussions, students analyze traits, predict beetle survival, and understand the implications of variatio

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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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Solar zenith angle, location, specific heat, and axial tilt are key factors influencing temperature variations in US cities. Proximity to water bodies, altitude, and latitude also play significant roles. This lab explores why coastal cities experience different temperature patterns compared to inlan

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Fabrication variability in semiconductor manufacturing refers to variations in physical characteristics of transistors, impacting their electrical parameters. This variability, whether systematic or random, can lead to performance deviations in digital circuits, affecting power consumption, timing,

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Exploring the intricacies of solar wind charge exchange within the solar system, this content delves into plasma interactions, forbidden lines, and the unique environments provided by comets. Discussions on spatial and temporal variations, neutral chemical compositions, and spectroscopic analyses sh

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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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Delve into the world of snakes to understand their shared traits and diverse variations. Discover how these variations in traits help snakes survive and reproduce, offering insights into their unique characteristics and evolutionary advantages.

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Dive into the world of bird variations in this informative lesson discussing how birds are alike and different, the importance of traits, and exploring differences among bird species. Discover the concepts of variations and traits through engaging activities and observations.

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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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Delve into the dynamics of membrane potential variations in neural networks through topics like white noise approximation, autocorrelation of Poisson processes, and the Noisy Integrate-and-Fire model. Investigate how these variations manifest at different thresholds, shedding light on the biological

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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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The study explores how variations in velocity fields affect pulsar magnetic fields, highlighting the conversion of kinetic energy to magnetic energy in pulsars. Glitches in these systems can lead to changes in magnetic fields, influencing pulsar emissions. The maintenance of stable magnetic fields a

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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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This study compares the traffic flow variations in urban areas, focusing on average daily traffic totals, daily traffic volumes, and monthly variations between the years 1980 and 2015 in Johannesburg. Data collection locations, including traffic data from different sites and lanes, are presented alo

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