Results 61 to 70 of about 2,704,502 (397)

Capacity of cellular mobile radio systems

Electronics Letters, 1998
A lower bound to the Shannon capacity of the uplink channel of a cellular system, with perfect channel state information (CSI) at the receiver, is evaluated against the reuse distance and the level of shadowing affecting the interfering signals. Capacity is normalised to the covered area and expressed in bit/s/Hz/unit area.
G. TARICCO, VATTA, Francesca
openaire   +4 more sources

KCS1 and VIP1, the genes encoding yeast phosphoinositol pyrophosphate synthases, are required for Ca2+‐mediated response to dimethylsulfoxide (DMSO)

FEBS Open Bio, EarlyView.
Ca2+‐mediated response to DMSO was investigated in Saccharomyces cerevisiae cells expressing Ca2+‐dependent aequorin. Cell exposure to DMSO induced a cytosolic Ca2+ wave dependent on the integrity of the Cch1/Mid1 channel. Deletion of KCS1 or VIP1 genes encoding the phosphoinositol pyrophosphate (PP‐IP) synthases suppressed the DMSO‐induced Ca2 ...
Larisa Ioana Gogianu, Lavinia Liliana Ruta, Claudia Valentina Popa, Simona Ghenea, Ileana Cornelia Farcasanu   +4 more
wiley   +1 more source

Mobile Edge Intelligence and Computing for the Internet of Vehicles [PDF]

Proceedings of the IEEE, 2019
The Internet of Vehicles (IoV) is an emerging paradigm that is driven by recent advancements in vehicular communications and networking. Meanwhile, the capability and intelligence of vehicles are being rapidly enhanced, and this will have the potential ...
Jun Zhang, K. Letaief
semanticscholar   +1 more source

Understanding and Overcoming Immunotherapy Resistance in Skin Cancer: Mechanisms and Strategies

Aging and Cancer, EarlyView.
This narrative review explores the mechanisms driving immunotherapy resistance in skin cancer, including tumor microenvironment factors, genetic mutations, and immune evasion strategies. It highlights potential strategies to overcome resistance, offering insights for improving therapeutic outcomes and guiding future research in personalized ...
Shreya Singh Beniwal, Abhimanyu Chiraparambil Radhakrishnan, Ayanchetty Haripraba, Saif Syed, Gajawada Pragna, Ayush Dwivedi, Akash Rawat, Daniela Castro Calderón, Martin Cevallos‐Cueva   +8 more
wiley   +1 more source

Radio mobility in the digital era: interactivity, participation and content share possibilities in Iberian broadcasters

Comunicação e Sociedade, 2015
In the context of the scientific research into radio, recent years have encouraged many theories about the meaning of a post-radio (Oliveira & Portela, 2011), thus enlisting several parameters regarding the inclusion of contemporary radio in the digital ...
Teresa Piñeiro-Otero, Fábio Ribeiro
doaj   +1 more source

Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal, Austen Maniscalco, Justin Visak, Michael Dohopolski, Dominic Moon, Vladimir Avkshtol, Dan Nguyen, Steve Jiang, David Sher, Mu‐ Han Lin   +9 more
wiley   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

AirHopper: Bridging the air-gap between isolated networks and mobile phones using radio frequencies [PDF]

2014 9th International Conference on Malicious and Unwanted Software: The Americas (MALWARE), 2014
Information is the most critical asset of modern organizations, and accordingly coveted by adversaries. When highly sensitive data is involved, an organization may resort to air-gap isolation, in which there is no networking connection between the inner ...
Mordechai Guri, Gabi Kedma, Assaf Kachlon, Y. Elovici   +3 more
semanticscholar   +1 more source

Capturing what matters: Patient‐reported LGI1‐ANTibody encephalitis outcome RatiNg scale (LANTERN)

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Background LGI1‐antibody encephalitis (LGI1‐Ab‐E) is a common form of autoimmune encephalitis where most patients demonstrate ‘good’ clinician‐rated outcomes. However, more targeted questionnaires reveal numerous debilitating symptoms for many years.
Mark J Kelly, Barbara Wagner, Bryan Ceronie, Christine Strippel, Ann Yee Lin, Adam Handel, John Soltys, Sophie Binks, Philip A Powell, Sarosh R Irani   +9 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source