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Longitudinal Immunological Analysis of Portuguese Healthcare Workers Across the COVID-19 Pandemic Reveals Differences in the Humoral Immune Response to Vaccines.
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Department of Infectious Diseases, National Institute of Health Doctor Ricardo Jorge, Public Health Centre Doutor Gonçalves Ferreira, Rua Alexandre Herculano 321, 4000-055 Porto, Portugal.
A vaccination programme against severe acute respiratory syndrome coronavirus 2 was initiated in Portugal in December 2020. In this study, we report the findings of a prospective cohort study implemented with the objective of monitoring antibody production in response to COVID-19 vaccination. The humoral immune response to vaccination was followed up using blood samples collected from 191 healthcare workers.
View Article and Find Full Text PDFEndpoint Distribution Modeling-Based Capture Algorithm for Interfering Multi-Target.
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The State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.
In physical spaces, pointing interactions cannot rely on cursors, rays, or virtual hands for feedback as in virtual environments; users must rely solely on their perception and experience to capture targets. Currently, research on modeling target distribution for pointing interactions in physical space is relatively sparse. Area division is typically simplistic, and theoretical models are lacking.
View Article and Find Full Text PDFBlockchain and Internet of Things Technologies for Food Traceability in Olive Oil Supply Chains.
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Informatics Laboratory, Agricultural University of Athens, 11855 Athens, Greece.
This study presents a blockchain-based traceability system designed specifically for the olive oil supply chain, addressing key challenges in transparency, quality assurance, and fraud prevention. The system integrates Internet of Things (IoT) technology with a decentralized blockchain framework to provide real-time monitoring of critical quality metrics. A practical web application, linked to the Ethereum blockchain, enables stakeholders to track each stage of the supply chain via tamper-proof records.
View Article and Find Full Text PDFEnhancing Greenhouse Efficiency: Integrating IoT and Reinforcement Learning for Optimized Climate Control.
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Informática Industrial y Redes de Computadores (I2RC), University of Alicante, 03690 Alicante, Spain.
Automated systems, regulated by algorithmic protocols and predefined set-points for feedback control, require the oversight and fine tuning of skilled technicians. This necessity is particularly pronounced in automated greenhouses, where optimal environmental conditions depend on the specialized knowledge of dedicated technicians, emphasizing the need for expert involvement during installation and maintenance. To address these challenges, this study proposes the integration of data acquisition technologies using Internet of Things (IoT) protocols and optimization services via reinforcement learning (RL) methodologies.
View Article and Find Full Text PDFResearch on Parameter Compensation Method and Control Strategy of Mobile Robot Dynamics Model Based on Digital Twin.
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School of Mechanical Engineering and Automation, Foshan University, Foshan 528225, China.
Inspection robots, which improve hazard identification and enhance safety management, play a vital role in the examination of high-risk environments in many fields, such as power distribution, petrochemical, and new energy battery factories. Currently, the position precision of the robots is a major barrier to their broad application. Exact kinematic model and control system of the robots is required to improve their location accuracy during movement on the unstructured surfaces.
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