The problem that the conventional double-exponential transient current model (DE model) can overdrive the circuit, which leads to the overestimation of the soft error rate of the logic cell, is solved. Our work uses a new and accurate model for predicting the soft error rate that brings the soft error rate closer to the actual. The piecewise double-exponential transient current model (PDE model) is chosen, and the accuracy of the model is reflected using the Layout Awareness Single Event Multi Transients Soft Error Rate Calculation tool (LA-SEMT-SER tool). The model can characterize transient current pulses piecewise and limit the peak current magnitude to not exceed the conduction current. TCAD models are constructed from 28 nm process library and cell layouts. The transfer characteristic curves of devices are calibrated, and functional timing verification is performed to ensure the accuracy of the TCAD model. The experimental results show that the PDE model is not only more consistent with TCAD simulation than the DE model in modeling the single event transient currents of the device, but also that the SER calculated by the LA-SEMT-SER tool based on the PDE model has a smaller error than the SER calculated by the LA-SEMT-SER tool based on the DE model.
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http://dx.doi.org/10.3390/mi15070885 | DOI Listing |
MethodsX
June 2025
Department of Biological and Pharmaceutical Environmental Sciences and Technologies, University of Campania "L. Vanvitelli", Via Antonio Vivaldi, 43, Caserta 81100, CE, Italy.
This study explores the application of fuzzy soft classification techniques combined with vegetation indices to address spectral overlap and heterogeneity in agricultural image processing. The methodology focuses on the integration of three key vegetation indices: Soil-Adjusted Vegetation Index (SAVI), Modified Soil-Adjusted Vegetation Index (MSAVI), and Modified Chlorophyll Absorption in Reflectance Index (MCARI), with Modified Possibilistic C-Means (MPCM) clustering. The analysis involves preprocessing the image data, calculating the vegetation indices, and applying the MPCM algorithm to perform soft classification, allowing pixels to belong to multiple classes with varying degrees of membership.
View Article and Find Full Text PDFWearable Technol
December 2024
Sensory Motor Systems Lab, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
Cable-driven exosuits have the potential to support individuals with motor disabilities across the continuum of care. When supporting a limb with a cable, force sensors are often used to measure tension. However, force sensors add cost, complexity, and distal components.
View Article and Find Full Text PDFSoft Matter
January 2025
Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT 06510, USA.
Hydrogels are popular platforms for cell encapsulation in biomedicine and tissue engineering due to their soft, porous structures, high water content, and excellent tunability. Recent studies highlight that the timing of network formation can be just as important as mechanical properties in influencing cell morphologies. Conventionally, time-dependent properties can be achieved through multi-step processes.
View Article and Find Full Text PDFArthroscopy
January 2025
Kansas City Orthopedic Alliance, 10777 Nall Avenue, Overland Park, KS 66224. Electronic address:
As surgeons, we strive to recognize and correct any mistakes that may occur before completing an operation, and importantly, do our best to avoid irreversible mistakes. Over-resection of the femoral cam lesion in patients having hip arthroscopy for femoroacetabular impingement syndrome has been considered irreversible. While cam under-resection is a technical complication of femoroacetabular impingement surgery to be avoided, avoiding this at the expense of over-resection of the proximal femur is of great concern.
View Article and Find Full Text PDFJ Dent
January 2025
Clinic of General-, Special Care- and Geriatric Dentistry, Center for Dental Medicine, University of Zurich, Zurich, Switzerland; School of Dentistry, Federal University of Goiàs, Goiania, Brazil; Department of Reconstructive Dentistry, Division of Gerodontology, School of Dental Medicine, University of Bern, Bern, Switzerland.
Objective: This study aimed to explore the feasibility and reliability of measuring the vertical dimension of occlusion/rest (OVD/RVD) on 3D facial scans of edentulous patients.
Methods: Nineteen edentulous participants rehabilitated with complete removable dental prostheses (CDs) participated in this study. Analog measurements (control) were obtained directly on the face for each participant with the jaws positioned at the rest position (without CDs, RVD) and at central occlusion (OVD), between the facial landmarks: Glabella (G) and Soft Pogonion (SP), Pronasale (PN) and SP, and Subnasale (SN) and SP.
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