Created 18 November 2014
Brain metastasis is the stage of cancer resulting from cancer cell colonization of the brain. Brain metastasis represents a compendium of devastating diseases arising from several cancer types since mostly fatal because of the extremely poor prognosis when compared to primary cancers treatment. Furthermore, mechanisms underlying brain metastasis remain largely unknown.
To assess, report, and discuss new discoveries in the biology, pathology and treatment of brain metastasis, we launched the Special Issue "Brain Metastasis" in the International Journal of Molecular Sciences in 2012, having continued it in 2014. Under the leadership of Professor Dario Marchetti (Baylor College of Medicine, Houston, Texas, USA) as our Guest Editor, this Special Issue has attracted a great interest from active researchers and scholars in the field, with 25 published manuscripts at highest scientific level. All papers can be accessed freely online. This open discussion group has been established as a forum to further exchange ideas and challenges facing the field, and to provide comments on "Brain Metastasis".
On behalf of our Guest Editor, Professor Dario Marchetti, we invite you to join and follow this discussion group. All comments, questions, files and information will be openly shared within the online group. We hope that this platform will facilitate further stimulating discussions on this important topic.
Created 5 July 2016
To enhance the journal, sensors could present something like the News &
Views of nature journals only in a different manner. In sociology
sensing means to go straight to the bottom of something in the sense
“to uncover the truth”. Hence, one could develop two branches:
(1) Very critical contributions asking about the real impact of former
findings, inventions or prevailing opinions some years later? For
example what impact have had very promising physical effects or
technological or achievements in our daily life?
(2) Very speculative contributions risking a view into the future, e.g.
something along the line /Is graphene the sensing top matter in 2050?/
Alternatively, the prediction of relatively new topics like memristors
for human life in future and so on.
These aspects, which are not related to a senor in the sense of a
hardware component could attract many other readers or authors and
would work in natural sciences as well as in humanities but will change
sensors original focus.
Created 21 August 2015
As sensor network organization is increasing in complexity, the ability to efficiently utilize the system requires a better understanding of the functional components and their interrelations. The connectivity of wireless sensor networks to the cloud environment has opened the door for a range of options towards system operation, scalability, and flexibility. This has encouraged research work to develop at both the physical sensor network level, as well as the cloud and related virtualization level. This could lead to a highly complex system with an environment that could have the ability to evolve with intelligence and offer a wide range of reliable and efficient services.
At the sensor network level, various researchers have looked into the formation of network organization in capturing the dynamics of the phenomenon. Here, for example, the grouping of network nodes—or what we call the formation of physical sensor clouds (PSC)—on functional, spatial, temporal, and/or spectral basis is ongoing research. This targets unfolding best operational practices for cyber physical systems. On the other hand, a significant amount of research work has been targeting the area of virtualization of the PSC and their related cloud services. The term “xx as a service” has been used extensively to reflect the range of services offered. Aspects like the process, the data, the infrastructure, the software, or even the QoS as a service have been explored. With a rich digital environment, the cloud is hosting aspects of intelligence, including ambient intelligence, opening the door for managing system behaviour and related training at large and, thus, allowing for better interaction with the process dynamics.
Further system complexity results from the inclusion of social and scientific data. They have started to play an important role in understanding the complex dynamic process behaviour, through cross-correlation among the behaviours in each of these domains. These aspects, among others, contribute to the increasing complexity of sensor network systems. The challenge here is the need to understand and manage the behaviour at both the component and system levels. This should then encourage the formation of an organic organisation that is manageable, dependable, and lends itself to better operational efficiency, flexibility, and scalability.
This Special Issue is trying to focus the efforts toward unfolding the key parameters and system organisations that could help in formulating an evolving system that is dependable, scalable, and flexible. The goal is to encourage new ideas that reflect potential in supporting a system organisation that could have the ability to adapt flexibly in capturing the dynamics of a physical phenomenon efficiently, and offer the related quality of services with the least human intervention. This could be at the sensor network level, IoT level, sensor cloud level, and cloud services level.
Cyber Physical System (CPS) and Physical Sensor Cloud (PSC) formation.
IoT based PSC and related data management.
Virtual sensor clouds and cloud services.
Data organization, analysis and visualization.
Cloud based sensor network architectures.
Evolving sensor network organization and dynamic system training.
Sensor network and ambient intelligence. Sensor Network QoS as a service (QoSaaS).
Dynamic interaction of sensor network data, social data and/or scientific data.
Adaptive sensor networks, self-organization, and trust
Big data and event detection
Case studies and applications in various challenging areas of smart cities: e.g., eHealth, Ambient Assisted Living, Intelligent Transportation Systems, logistics of perishable goods, and others.
Other related areas.
Prof. Dr. Adnan Al-Anbuky
Prof. Dr.-Ing. Christian Müller-Schloer
Prof. Dr. Antonio Puliafito
Prof. Dr. Franco Davoli
Created 3 October 2014
Online discussion group on the foundations of information science. Group members receive a daily summary of new discussions by e-mail (if there are any new discussions or comments). Citations related to information science and information concepts can be added to the "Bibliography" section. Where available, the access to the PDF version of referenced papers can be requested from other users of the group.