The carcinogenic bacterium Helicobacter pylori infect over half the global population, with a higher prevalence in low-income countries. It is linked to diseases such as chronic gastritis, peptic ulcers, and gastric c...
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The carcinogenic bacterium Helicobacter pylori infect over half the global population, with a higher prevalence in low-income countries. It is linked to diseases such as chronic gastritis, peptic ulcers, and gastric cancer, a leading cause of cancer-related deaths worldwide. The gold standard diagnostic method involves histopathological evaluation of gastric biopsy tissue via upper gastrointestinal endoscopy—an invasive, complex, and time-intensive procedure requiring specialized professionals. This study presents a noninvasive alternative: an impedimetric electrochemical biosensor for H. pylori antigen detection in saliva. The biosensor was developed using a screen-printed carbon electrode modified with polypyrrole nanotubes and carboxylated multi-walled carbon nanotubes. Monoclonal antibodies targeting CagA, a cytotoxic effector protein of H. pylori , were immobilized on carbon nanotubes using EDC/NHS chemistry. The platform was characterized via scanning electron microscopy and electrochemical techniques. Electrochemical impedance spectroscopy (EIS) was employed for analyte detection, with an analytical curve constructed in phosphate-buffered saline (PBS) spiked with CagA protein. The biosensor demonstrated a linear detection range of 0.5 pg mL⁻¹ to 3.3 ng mL⁻¹ and a detection limit of 109.9 fg mL⁻¹ . Validation with patient saliva samples, confirmed by histopathology and rapid urease testing, yielded 97 % accuracy, 80 % sensitivity, and 100 % specificity. Results were obtained within 15 min. This EIS-based biosensor offers a sensitive, innovative, and noninvasive platform for early H. pylori diagnosis, which is essential for preventing severe diseases such as gastric cancer.
Inverse precoding algorithms in multimode fiber based communication networks are used to exploit mode dependent losses on the physical layer. This provides an asymmetry between legitimate (Bob) and unlegitimate (Eve) ...
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The future of pressure, vacuum and even temperature measurement will employ lasers, Fabry-Perot optical cavities, cold atom traps and lots of quantum physics. For pressure measurement of a gas, photons interact at the...
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We proposed a new end-to-end motion correction method based on conditional generative adversarial network (GAN) and minimum entropy of MRI images for Fast Spin Echo (FSE) sequence. The network contains an encoder-deco...
We proposed a new end-to-end motion correction method based on conditional generative adversarial network (GAN) and minimum entropy of MRI images for Fast Spin Echo (FSE) sequence. The network contains an encoder-decoder generator to generate the motion-corrected images and a PatchGAN discriminator to classify an image as either real (motion-free) or fake(motion-corrected). Moreover, the image's entropy is set as one loss item in the cGAN's loss as the entropy increases monotonically with the motion amplitude, indicating that entropy is a good criterion for motion. The results show that the proposed method can effectively reduce the artifacts and obtain high-quality motion-corrected images from the motion-affected images in both pre-clinical and clinical datasets.
The accuracy of force measurement systems is predominantly influenced by its stiffness towards deflection. Monolithic mechanical systems in precision weighing technology rely on ultrathin flexure hinges. Further stiff...
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ISBN:
(纸本)9780995775107
The accuracy of force measurement systems is predominantly influenced by its stiffness towards deflection. Monolithic mechanical systems in precision weighing technology rely on ultrathin flexure hinges. Further stiffness reduction by a decrease of the minimum hinge thickness is unfavourable. Consequently, the present concept relies on compensation rather than a reduction of the stiffness. Based on precise adjustments, the system's state is altered towards an astatic state. Hereby, the overall stiffness and the tilt sensitivity is reduced. These properties have been determined as major contributions to the measurement error. The results of the theoretical investigations form a basis for future experiments and a further improvement of load cells.
An experimental setup for performing micro-scratching tasks and measuring the forces involved in the process is presented in this paper. The main component of the system is a multi-component force and torque sensor ba...
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Availability-Oriented Product-Service Systems (AOPSS) give manufacturers of capital goods the opportunity to expand their offerings while fulfilling the customers’ needs for product availability. In turn, they genera...
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Availability-Oriented Product-Service Systems (AOPSS) give manufacturers of capital goods the opportunity to expand their offerings while fulfilling the customers’ needs for product availability. In turn, they generate special requirements for the early product development phase. Condition monitoring has to be taken into account, which results in a contradiction since learning-based condition monitoring approaches require large amounts of data which isn’t available in that particular stage. Techniques from model-based systems engineering allow solving problems newly arising when developing parts or products in AOPSS. The approach proposed in the paper is being illustrated based on a use case from the agricultural industry.
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