A methodology for estimating vehicular emissions comprising a car simulator, a basic traffic model, and a geographical information system is capable of estimating vehicle emissions with high time and space resolution. Because of the extent of the work conducted, this article comprises two sections: In Part 1 of this work, we describe the system and its components and use examples for testing it. In Part 2 we will study in more detail the emissions of the sample fleet using the system and will make comparisons with another emission model. The experimental data for the car simulator is obtained using on-board measuring equipment and laboratory Fourier transform IR (FTIR) measurements with a dynamometer following typical driving cycles. The car simulator uses this data to generate emission factors every second. These emission factors, together with information on car activity and velocity profiles of highways and residential and arterial roads in Mexico City in conjunction with a basic traffic model, provide emissions per second of a sample fleet. A geographical information system is used to localize these road emissions.
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http://dx.doi.org/10.3155/1047-3289.57.10.1234 | DOI Listing |
Cancer Cell Int
December 2024
Division of Cancer Biology, Laboratory Animal Center, The Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Tumor organoids have emerged as powerful tools for in vitro cancer research due to their ability to retain the structural and genetic characteristics of tumors. Nevertheless, the absence of a complete tumor microenvironment (TME) limits the broader application of organoid models in immunological studies. Given the critical role of immune cells in tumor initiation and progression, the co-culture model of organoids and peripheral blood mononuclear cells (PBMCs) may provide an effective platform for simulating the interactions between immune and tumor cells in vitro.
View Article and Find Full Text PDFHeliyon
December 2024
Department of Mechanical Engineering, Sogang University, Seoul, 04107, Republic of Korea.
Damage models have significantly advanced predictions of ductile fractures in large, thin-walled structures like automobiles, ships, and aircraft. However, accurately predicting these fractures remains challenging due to variations in strain localization, ranging from biaxial compression to tension. This study introduces a specialized damage model for shell elements, utilizing data from shear, uniaxial, and plane tension tests.
View Article and Find Full Text PDFStapp Car Crash J
December 2024
Injury Biomechanics Research Center, The Ohio State University.
Thoracic injuries, most frequently rib fractures, commonly occur in motor vehicle crashes. With an increased reliance on human body models (HBMs) for injury prediction in various crash scenarios, all thoracic tissues and structures require more comprehensive evaluation for improvement of HBMs. The objective of this study was to quantify the contribution of costal cartilage to whole rib bending properties in physical experiments.
View Article and Find Full Text PDFClin Transl Sci
December 2024
Oncology Cell Therapy and Therapeutic Area Unit, Cell Therapy Clinical Pharmacology and Modeling, Precision and Translational Medicine, Takeda Pharmaceuticals, Cambridge, Massachusetts, USA.
Autologous chimeric antigen receptor (CAR) T-cell therapy has demonstrated remarkable response rates, yet its widespread implementation is hindered by logistical, financial, and physical constraints. Additionally, challenges such as poor persistence and allorejection are associated with allogeneic cell therapies. An innovative approach involves in vivo transduction of endogenous T-cells through the administration of CAR mRNA encapsulated in polymeric nanoparticles (NPs), resulting in transient CAR surface expression on circulating T-cells.
View Article and Find Full Text PDFHeliyon
October 2024
Department of Electrical Engineering, Faculty of Engineering & Technology, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Load inconsistency has disrupted the power system, causing rotor angle fluctuation that leads to angle instability in the system. This research suggests an innovative proportional integral derivative with filter (PIDF)-based thyristor-controlled series compensator (TCSC) controller that utilise an evolutionary programming sine cosine algorithm (EPSCA) for hybrid optimisation to increase the angle stability of the power system. The challenge of the PIDF-TCSC design is transformed into an optimal control problem with respect to performance indices, such as the maximum imaginary part of system eigenvalues, damping ratio and damping factor, where another multi-objective function is utilised to determine the best stabiliser settings.
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