Results 91 to 100 of about 72,670 (301)

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

rWTC‐MBTA Vaccine, Alone and Enhanced with Anti‐PD1, Elicits Immune Responses against CNS and Peripheral B‐Cell Lymphoma

Advanced Science, EarlyView.
An autologous whole‐tumor‐cell vaccine (rWTC‐MBTA) is evaluated in murine CNS lymphoma. Subcutaneous vaccination activates dendritic cells, broadens T‐cell priming, and drives lymphocyte trafficking to brain tumors, producing durable tumor control. Longitudinal bioluminescence and adoptive‐transfer assays verify CNS engagement. Combination with anti‐PD‐
Yaping Zhang, Juan Ye, Mitchell Sun, Samik Chakraborty, Alex Valenzuela, Shuran Chen, Qingfeng Xue, Wenyu Shi, Karel Pacak, Herui Wang, Zhengping Zhuang   +10 more
wiley   +1 more source

Decentralised Global Service Discovery for the Internet of Things

Sensors
The Internet of Things (IoT) consists of millions of devices deployed over hundreds of thousands of different networks, providing an ever-expanding resource to improve our understanding of and interactions with the physical world.
Ryan Kurte, Zoran Salcic, Kevin I-Kai Wang   +2 more
doaj   +1 more source

Successful Development of Decentralised District Heating: Application of a Theoretical Framework

Journal of Settlements and Spatial Planning, 2016
One of the most important goals for energy transition is to reduce CO2 by turning to renewable energy, such as solar and wind energy. However, the production of renewable energy is not always an integral part of the energy system. Instead, it may have a decentralized basis, even up to the household level.
Hooimeijer, F.L. (author), Puts, H (author), Geerdink, T. (author)   +2 more
openaire   +4 more sources

Single‐Atom Pt Anchoring on Self‐Doped ZrO2@G‐C3N4 Nanostructure Enables Efficient Photocatalytic Seawater Hydrogen Evolution

Advanced Science, EarlyView.
Grain‐like Zr3+‐ZrO2 and Pt single atoms are integrated into an S‐scheme Zr3+‐ZrO2@g‐C3N4 heterostructure to enable efficient visible‐light‐driven seawater hydrogen production. The combined effect of Pt single‐atom sites and the S‐scheme charge‐transfer pathway accelerates carrier separation, preserves strong redox ability, and markedly enhances ...
Hezheng Sun, Yifan Guo, Xin Yu, Yajie Tian, Feng Gao, Bin Wang, Yanting Tang, Dani S. Assi, Vellaisamy A. L. Roy   +8 more
wiley   +1 more source

The Social Cost of Blockchain: Externalities, Allocation of Property Rights, and the Role of the Law

European Journal of Risk Regulation
In the past decade, the legal and economic literature on blockchain technology and its applications has flourished. This new technology holds great promise for enhancing the efficiency of contracting.
Edoardo D. Martino, W. Georg Ringe
doaj   +1 more source

Blockchain electricity trading using tokenised power delivery contracts. ESRI Working Paper No. 649 December 2019 [PDF]

, 2019
This paper proposes a new mechanism for forward selling renewable electricity generation. In this transactive framework, a wind or solar farm may directly sell to consumers a claim on their future power output in the form of nonfungible blockchain tokens.
Cuffe, Paul, Devine, Mel T., Russo, Marianna   +2 more
core  

Overview of Polkadot and its Design Considerations [PDF]

, 2020
In this paper we describe the design components of the heterogenous multi-chain protocol Polkadot and explain how these components help Polkadot address some of the existing shortcomings of blockchain technologies. At present, a vast number of blockchain
Alper, Handan Kilinc, Burdges, Jeff, Cevallos, Alfonso, Czaban, Peter, Habermeier, Rob, Hosseini, Syed, Lama, Fabio, Luo, Ximin, Shirazi, Fatemeh, Stewart, Alistair, Wood, Gavin   +10 more
core   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Decentralised Coordination of Low-Power Embedded Devices Using the Max-Sum Algorithm

, 2008
This paper considers the problem of performing decentralised coordination of low-power embedded devices (as is required within many environmental sensing and surveillance applications).
Farinelli, Alessandro, Jennings, N. R., Petcu, Adrian, Rogers, Alex   +3 more
core   +2 more sources