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This paper presents an efficient cyberphysical platform for the smart management of smart territories. It is efficient because it facilitates the implementation of data acquisition and data management methods, as well as data representation and dashboard configuration. The platform allows for the use of any type of data source, ranging from the measurements of a multi-functional IoT sensing devices to relational and non-relational databases. It is also smart because it incorporates a complete artificial intelligence suit for data analysis; it includes techniques for data classification, clustering, forecasting, optimization, visualization, etc. It is also compatible with the edge computing concept, allowing for the distribution of intelligence and the use of intelligent sensors. The concept of smart cities is evolving and adapting to new applications; the trend to create intelligent neighbourhoods, districts or territories is becoming increasingly popular, as opposed to the previous approach of managing an entire megacity. In this paper, the platform is presented, and its architecture and functionalities are described. Moreover, its operation has been validated in a case study where the bike renting service of Paris-Vélib' Métropole has been managed. This platform could enable smart territories to develop adapted knowledge management systems, adapt them to new requirements and to use multiple types of data, and execute efficient computational and artificial intelligence algorithms. The platform optimizes the decisions taken by human experts through explainable artificial intelligence models that obtain data from IoT sensors, databases, the Internet, etc. The global intelligence of the platform could potentially coordinate its decision-making processes with intelligent nodes installed in the edge, which would use the most advanced data processing techniques.
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http://dx.doi.org/10.3390/s21010236 | DOI Listing |
ACS Nano
September 2025
Department of Biomedical Engineering, City University of Hong Kong, Kowloon Tong 999077, Hong Kong.
Acne is a common skin condition caused by the blockage of hair follicles, which is often associated with adolescents. Beyond physical discomfort and potential scarring, acne can also result in mental health issues including low self-esteem and anxiety. Among all available medical treatments, topical antibiotics are effective for acne treatment due to their rapid action, anti-inflammatory properties, minimal side effects, and accessibility.
View Article and Find Full Text PDFNat Commun
July 2025
MOE Key Laboratory of Bio-Intelligent Manufacturing, State Key Laboratory of Fine Chemicals, Frontiers Science Centre for Smart Materials Oriented Chemical Engineering, School of Bioengineering, Dalian University of Technology, Dalian, China.
Biomolecular condensates are dynamic cellular compartments that concentrate proteins and enzymes to regulate biochemical reactions in time and space. While these condensates can enhance enzyme activity, how this function changes as condensates age remains poorly understood. Here, we design synthetic catalytic condensates that selectively recruit enzymes to investigate this temporal evolution.
View Article and Find Full Text PDFSci Rep
July 2025
State Key Laboratory of Regional and Urban ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Climate change adaptation recognition in developing and developed countries are crucial to tackle the environmental vulnerabilities. In this study news data from GDELT was utilized to investigate the CCA recognition (tone, concern, and scope) across different income groups of 200 countries by using monthly data from March 2015 to March 2024. Additionally, analysed socioeconomic, geographic, and demographic indicators that influence CCA recognition among 174 countries globally by using yearly data from 2016 to 2023.
View Article and Find Full Text PDFJ Med Internet Res
July 2025
Center for Smart Health, School of Nursing, Hong Kong Polytechnic University, Kowloon, China (Hong Kong).
Background: Perioperative education is crucial for optimizing outcomes in neuroendovascular procedures, where inadequate understanding can heighten patient anxiety and hinder care plan adherence. Current education models, reliant on traditional consultations and printed materials, often lack scalability and personalization. Artificial intelligence (AI)-powered chatbots have demonstrated efficacy in various health care contexts; however, their role in neuroendovascular perioperative support remains underexplored.
View Article and Find Full Text PDFEnviron Monit Assess
July 2025
Natural Resource Management Division, Indian Council of Agricultural Research, New Delhi, 110012, India.
The Trans-Gangetic Plains (TGP) is a distinct region in northwestern India encompassing the states of Punjab, Haryana, the union territories of Delhi and Chandigarh, and the Ganganagar district of Rajasthan. Although the region plays a critical role in India's food security through substantial wheat and rice production, it is increasingly threatened by land degradation and drought vulnerability. Existing studies often lack integrated, large-scale assessments combining land degradation and drought analysis in this region.
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