382 research outputs found
MyHealthAvatar lifestyle management support for cancer patients
MyHealthAvatar (MHA) is built on the latest information and communications technology with the aim of collecting lifestyle and health data to promote citizen's wellbeing. According to the collected data, MHA offers visual analytics of lifestyle data, contributes to individualised disease prediction and prevention, and supports healthy lifestyles and independent living. The iManageCancer project aims to empower patients and strengthen self-management in cancer diseases. Therefore, MHA has contributed to the iManageCancer scenario and provides functionality to the iManageCancer platform in terms of its support of lifestyle management of cancer patients by providing them with services to help their cancer management. This paper presents two different MHA-based Android applications for breast and prostate cancer patients. The components in these apps facilitate health and lifestyle data presentation and analysis, including weight control, activity, mood and sleep data collection, promotion of physical exercise after surgery, questionnaires and helpful information. These components can be used cooperatively to achieve flexible visual analysis of spatiotemporal lifestyle and health data and can also help patients discover information about their disease and its management
Effect of Crystallization Time on Behaviors of Glass-ceramic Produced from Sludge Incineration Ash
AbstractIncineration has become a significant treatment method for municipal sewage sludge because of the rising difficulty to find suitable sites for traditional landfill. However, a large amount of sludge incineration ash containing high levels of heavy metals is remained. In order to achieve resource utilization, glass–ceramics have been produced using sludge incineration ash. The optimum heat treatment was identified as Tn = 837°C for 1.0 h and Tc = 977°C for 2.0 h, respectively. The major crystalline phase identified from X-ray diffraction (XRD) and scanning electron microscopy (SEM) was wollastonite (CaSiO3) and the products displayed good performances. The results indicated that it was a feasible attempt to produce glass-ceramics from sludge incineration ash as decorative materials
Generation of Ultra-intense Gamma-ray Train by QED Harmonics
When laser intensity exceeds 10^22W/cm^2, photons with energy above MeV can
be generated from high-order harmonics process in the laser-plasma interaction.
We find that under such laser intensity, QED effect plays a dominating role in
the radiation pattern. Contrast to the gas and relativistic HHG processes, both
the occurrence and energy of gamma-ray emission produced by QED harmonics are
random and QED harmonics are usually not coherent, while the property of high
intensity and ultra-short duration is conserved. Our simulation shows that the
period of gamma-ray train is half of the laser period and the peak intensity is
1.4e22W/cm^2. This new harmonic production with QED effects are crucial to
light-matter interaction in strong field and can be verified in experiments by
10PW laser facilities in the near future.Comment: 12 pages, 4 figure
Generated Graph Detection
Graph generative models become increasingly effective for data distribution
approximation and data augmentation. While they have aroused public concerns
about their malicious misuses or misinformation broadcasts, just as what
Deepfake visual and auditory media has been delivering to society. Hence it is
essential to regulate the prevalence of generated graphs. To tackle this
problem, we pioneer the formulation of the generated graph detection problem to
distinguish generated graphs from real ones. We propose the first framework to
systematically investigate a set of sophisticated models and their performance
in four classification scenarios. Each scenario switches between seen and
unseen datasets/generators during testing to get closer to real-world settings
and progressively challenge the classifiers. Extensive experiments evidence
that all the models are qualified for generated graph detection, with specific
models having advantages in specific scenarios. Resulting from the validated
generality and oblivion of the classifiers to unseen datasets/generators, we
draw a safe conclusion that our solution can sustain for a decent while to curb
generated graph misuses.Comment: Accepted by ICML 202
Experimental Study of the Nematic Transition in Granular Spherocylinder Packings under Tapping
Using x-ray tomography, we experimentally investigate the nematic transition
in granular spherocylinder packings induced by tapping. Upon the validation of
the Edwards ensemble framework in spherocylinders, we introduce an empirical
free energy that accounts for the influence of gravity and the mechanical
stability requirements specific to granular systems. This free energy can
predict not only the correct phase transition behavior of the system from a
disordered state to a nematic phase, but also a phase coexistence range and
nucleation energy barriers that agree with experimental observations.Comment: 19 pages, 5 figure
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