840 research outputs found
Radiative Heat Transfer and Effective Transport Coefficients
The theory of heat transfer by electromagnetic radiation is based on the
radiative transfer equation (RTE) for the radiation intensity, or equivalently
on the Boltzmann transport equation (BTE) for the photon distribution. We focus
in this review article, after a brief overview on different solution methods,
on a recently introduced approach based on truncated moment expansion. Due to
the linearity of the underlying BTE, the appropriate closure of the system of
moment equations is entropy production rate minimization. This closure provides
a distribution function and the associated effective transport coefficients,
like mean absorption coefficients and the Eddington factor, for an arbitrary
number of moments. The moment approach is finally illustrated with an
application of the two-moment equations to an electrical arc
Taking Afrobarometer Data Everywhere
According to statistics gathered by research group Afrobarometer, many countries in Africa lack infrastructure and basic necessities. In fact, Afrobarometer knows the specific rates of need and availability sampled across thirty-six countries but more prosperous African countries do not know these numbers. These more developed countries are in a position to help their less fortunate neighbors if only made aware of the social and economic climate in the respective areas. Our partnership with Afrobarometer will allow us to advertise these statistics through the use of a mobile application. The data will be displayed in a way that is easy for the average reader to digest and understand. By exposing a larger African audience to the results from these public opinion surveys, Afrobarometer hopes to inspire these people to take action and make donations to the appropriate social benefit groups. The countries represented by the surveys can then receive help in the areas expressing need
Generating low-dimensional denoised representations of nonlinear data with superparamagnetic agents
Copyright ©2016 IEICEVisualisation of high-dimensional data by means of a low-dimensional embedding plays a key role in explorative data analysis. Classical approaches to dimensionality reduction, such as principal component analysis (PCA) and multidimensional scaling (MDS), struggle or even fail to reveal the relevant data characteristics when applied to noisy or nonlinear data structures. We present a novel approach for dimensionality reduction in combination with an automatic noise cleaning. By employing self-organising agents that are governed by the dynamics of the superparamagnetic clustering algorithm, the method is able to generate denoised low-dimensional embeddings for which the characteristics of nonlinear data structures are preserved or even emphasised. These properties are illustrated and compared to other approaches by means of toy and real-world examples
An Evaluation Schema for the Ethical Use of Autonomous Robotic Systems in Security Applications
We propose a multi-step evaluation schema designed to help procurement agencies and others to examine the ethical dimensions of autonomous systems to be applied in the security sector, including autonomous weapons systems
Connexins in leukocytes: shuttling messages?
Gap junctions, formed by the connexin (Cx) protein family, are intercellular channels that permit the cytoplasmic exchange of ions and small metabolites between neighboring cells, a process called gap junction intercellular communication (GJIC). These channels possess unique properties, including distinctive permeabilities for various signaling molecules, which depend on the connexin member(s) that form them. Importantly, GJIC must be properly controlled as its misregulation might contribute to diseases. Morphological and functional studies have revealed ‘gap junction-like' structures and cell-to-cell communication involving cells of the immune system. The connexins involved in such contacts have been partially identified in recent years. This review focuses on the potential physiological roles of gap junctions in the development and recruitment of leukocytes as well as in the regulation of the immune response. Furthermore, the importance of GJIC in immuno-inflammatory pathologies is illustrated in atherosclerosi
MARLUI: Multi-Agent Reinforcement Learning for Adaptive UIs
Adaptive user interfaces (UIs) automatically change an interface to better
support users' tasks. Recently, machine learning techniques have enabled the
transition to more powerful and complex adaptive UIs. However, a core challenge
for adaptive user interfaces is the reliance on high-quality user data that has
to be collected offline for each task. We formulate UI adaptation as a
multi-agent reinforcement learning problem to overcome this challenge. In our
formulation, a user agent mimics a real user and learns to interact with a UI.
Simultaneously, an interface agent learns UI adaptations to maximize the user
agent's performance. The interface agent learns the task structure from the
user agent's behavior and, based on that, can support the user agent in
completing its task. Our method produces adaptation policies that are learned
in simulation only and, therefore, does not need real user data. Our
experiments show that learned policies generalize to real users and achieve on
par performance with data-driven supervised learning baselines
Feasibility, acceptability and needs in telemedicine for palliative care.
BACKGROUND
Telemedicine in palliative care was initially developed in countries where geography or resources limit access to care services. Recently, largely owing to the COVID-19 pandemic, this technology is being increasingly used in highly urbanised countries such as Switzerland. However, there is still scepticism regarding whether these tools can be used effectively in palliative care, a relationship-based speciality that is generally highly dependent on compassion, communication and direct human interaction. The objective of this review was to analyse the needs, elements of feasibility, and reasons for acceptance or possible barriers before the implementation of a telemedicine intervention in Switzerland.
METHODS
The method used was a scoping review, following the PRISMA-ScR reporting guidelines. We searched the PubMed, Ovid SP, Medline, Cochrane and Scopus databases for relevant reports. Charting and analyses of the data were done by a single researcher. A total of 520 records were screened and assessed for eligibility. Finally, 27 studies and 4 registry entries were included. Main reasons for exclusion were wrong population and intervention.
RESULTS
The prevailing study type was the single-arm intervention study. Most studies originated from countries with geographic barriers to access. Feasibility was good in 69% of all studies. Good acceptability (84.1-100%) was confirmed in the majority of the studies. The needs of the patients or the healthcare professionals were directly addressed in only five (16%) studies. Three needs were consistently reported: communication, coordination and technical reliability.
CONCLUSION
Despite a broad range of studies on telemedicine in palliative care, patients' needs are rarely addressed. Therefore, especially in countries such as Switzerland, a needs assessment is recommended before the implementation of a new telemedicine intervention, to guarantee high feasibility and acceptability
Charge injection instability in perfect insulators
We show that in a macroscopic perfect insulator, charge injection at a
field-enhancing defect is associated with an instability of the insulating
state or with bistability of the insulating and the charged state. The effect
of a nonlinear carrier mobility is emphasized. The formation of the charged
state is governed by two different processes with clearly separated time
scales. First, due to a fast growth of a charge-injection mode, a localized
charge cloud forms near the injecting defect (or contact). Charge injection
stops when the field enhancement is screened below criticality. Secondly, the
charge slowly redistributes in the bulk. The linear instability mechanism and
the final charged steady state are discussed for a simple model and for
cylindrical and spherical geometries. The theory explains an experimentally
observed increase of the critical electric field with decreasing size of the
injecting contact. Numerical results are presented for dc and ac biased
insulators.Comment: Revtex, 7pages, 4 ps figure
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