Sensitive Period Analysis of Adulthood BMI and Cancer Risk: An Individual Participant Data Meta-Analysis of Over 720,000 Participants in the ABACus 2 Consortium. [PDF]
Over a dozen cancers have been associated with excess body mass index, primarily in mid‐to‐late adulthood. Whether obesity‐related cancer risk differs across adulthood remains unclear. Using the Sensitive Periods Model and super‐landmarking approaches, this study found that higher BMI increased obesity‐related cancer risk across ages 30–65.
Hawwash NK +13 more
europepmc +2 more sources
Age of Information Minimization for Radio Frequency Energy-Harvesting Cognitive Radio Networks
The Age of Information (AoI) measures the freshness of information and is a critic performance metric for time-sensitive applications. In this paper, we consider a radio frequency energy-harvesting cognitive radio network, where the secondary user ...
Juan Sun +3 more
doaj +1 more source
On the Age of Information in Wireless Networks Using Rateless Codes
The information freshness, quantified by the emerging idea of Age of Information (AoI), has recently received widespread attentions from both academia and industry. However, most prior works on AoI considered a single source-destination pair and provided
Haichao Wei, Na Deng
doaj +1 more source
Tackling Age of Information in Access Policies for Sensing Ecosystems
Recent technological advancements such as the Internet of Things (IoT) and machine learning (ML) can lead to a massive data generation in smart environments, where multiple sensors can be used to monitor a large number of processes through a wireless ...
Alberto Zancanaro +2 more
doaj +1 more source
Channel Quality-Based Optimal Status Update for Information Freshness in Internet of Things
This paper investigates the status updating policy for information freshness in Internet of things (IoT) systems, where the channel quality is fed back to the sensor at the beginning of each time slot.
Fuzhou Peng, Xiang Chen, Xijun Wang
doaj +1 more source
What’s My Age of Information Again? The Role of Feedback in AoI Optimization Under Limited Transmission Opportunities [PDF]
Real-time applications in the Internet of things (IoT) commonly require to schedule status updates from remote sensors to minimize age of information (AoI), a metric that captures the freshness of received data. Oftentimes, this problem is tackled assuming that sensors operate over an indefinite time horizon and can decide when to transmit data ...
Andrea Munari, Leonardo Badia
openaire +3 more sources
A Service Strategy Based on Age of Information Optimization in Collaborative Perception Systems [PDF]
Edge Computing (EC) technology addresses issues such as single-vehicle perception, sensor processing, and transmission latency by processing data in real-time at the network edge, thus providing support for efficient and secure autonomous driving ...
Junhui ZHOU, Peng XU, Shengli SUN
doaj +1 more source
Peak Age of Information Analysis in Systems with Multiple Time-Correlated Traffic Streams
Nowadays, Internet of Things (IoT) is one of the most dynamically evolving services in the 5G ecosystem. In industrial IoT (IIoT), this service can be utilized to deliver state updates of various equipment to the remote control center for further ...
Varvara Manaeva +3 more
doaj +1 more source
Optimizing Age of Information in Internet of Vehicles over Error-Prone Channels
In the Internet of Vehicles (IoV), age of information (AoI) has become a vital performance metric for evaluating the freshness of information in communication systems.
Cui Zhang +4 more
doaj +1 more source
Optimizing Information Freshness in a Multiple Access Channel With Heterogeneous Devices
In this work, we study age-optimal scheduling with stability constraints in a multiple access channel with two heterogeneous source nodes transmitting to a common destination.
Zheng Chen +3 more
doaj +1 more source

