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Four software sensors based on standard on-line data from fermentation processes and simple mathematical models were used to monitor a number of state variables in Escherichia coli fed-batch processes: the biomass concentration, the specific growth rate, the oxygen transfer capacity of the bioreactor, and the new R(O/S) sensor which is the ratio between oxygen and energy substrate consumption. The R(O/S) variable grows continuously in a fed-batch culture with constant glucose feed, which reflects the increasing maintenance demand at declining specific growth rate. The R(O/S) sensor also responded to rapid pH shift-downs reflecting the increasing demand for maintenance energy. It is suggested that this sensor may be used to monitor the extent of physiological stress that demands energy for survival.
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http://dx.doi.org/10.1007/s00449-007-0157-5 | DOI Listing |
Med Eng Phys
October 2025
Mechatronics Engineering Department, Sakarya University of Applied Sciences, Serdivan, Sakarya, 54600, Sakarya, Turkey; Systems Engineering Department, Military Technological College, Al Matar, Muscat, 111, Muscat, Oman. Electronic address:
Balance is a critical component of daily activities and overall quality of life. This study aims to develop a cost-effective exercise system for the rehabilitation of balance disorders by combining a sensor module with target-oriented video games. The system, designed using a microcontroller-controlled sensor module and Unity game engine, features a game component that provides visual feedback and is synchronized with the platform movements.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
DUT School of Software Technology & DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian 116620, China.
Achieving both high sensitivity and a wide detection range in flexible pressure sensors poses a challenge due to their inherent trade-off. Although porous structures offer promising solutions, conventional methods (templating, foaming, and freeze-drying) fail to precisely control cavity dimensions, spatial arrangement, and 3D morphology, which are crucial for sensing performance. Here, we propose a scalable fabrication strategy that integrates triply periodic minimal surface (TPMS) geometries─precisely engineered via FDM 3D printing─with ultrasonic impregnation of carbon black (CB) into TPU scaffolds.
View Article and Find Full Text PDFNeural Netw
September 2025
School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200240, China.
3D shape defect detection plays an important role in autonomous industrial inspection. However, accurate detection of anomalies remains challenging due to the complexity of multimodal sensor data, especially when both color and structural information are required. In this work, we propose a lightweight inter-modality feature prediction framework that effectively utilizes multimodal fused features from the inputs of RGB, depth and point clouds for efficient 3D shape defect detection.
View Article and Find Full Text PDFPLoS One
September 2025
Artificial Intelligence Research and Innovation Lab - AIRIL, Dhaka, Bangladesh.
Due to limited literacy among root-level farmers, hydroponic farming in Bangladesh faces significant challenges. Therefore, there is a demand for easy-to-use technical systems to help farmers to monitor and operate smart systems. To address the issue, this study introduces a robust hydroponic system that provides automatic guidelines, monitoring, and a disease detection system.
View Article and Find Full Text PDFHardwareX
September 2025
Universidad Nacional de Colombia, Facultad de Minas, Grupo GITA, Cra. 80#65-223, Colombia.
This paper presents the development of a transmitter that transforms intermittent glucose sensors (isCGM) into a continuous and real-time glucose monitoring system (c-rtCGM), a key component in automated insulin delivery systems. The transmitter enhances the capabilities of conventional intermittent sensors by leveraging Near Field Communication (NFC) technology to capture raw glucose value and automatically transmit it via Bluetooth Low Energy (BLE-Bluetooth 4.2 Dual-Mode) to a smart device every five minutes.
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