Stable Position Measurement of a Moving Airplane by Adaptive Camera Control

ABSTRACT-A method is developed to identify a taxiing airplane and measure its position correctly under various lighting and weather conditions by inputting a moving image from an adaptively-controlled camera into an image processor and analyzing the image in order t

Quantifying interfacial tensions of surface nanobubbles: How far can Young's equation explain?

Nanobubbles at solid-liquid interfaces play a key role in various physicochemical phenomena and it is crucial to understand their unique properties. However, little is known about their interfacial tensions due to the lack of reliable calculation methods. Based on mechanical and thermodynamic insights, we quantified for the first time the liquid-gas, solid-liquid, and solid-gas interfacial tensions of submicron-sized nitrogen bubbles at graphite-water interfaces using molecular dynamics (MD) analysis. It was revealed that Young's equation holds even for nanobubbles with different radii. We found that the liquid-gas and solid-liquid interfacial tensions were not largely affected by the gas density inside the nanobubbles. In contrast, the size effect on the solid-gas interfacial tension was observed, namely, the value dramatically decreased upon an increase in the gas density due to gas adsorption on the solid surface. However, our quantitative evaluation also revealed that the gas density effect on the contact angles is negligible when the footprint radius is larger than 50 nm, which is a typical range observed in experiments, and thus the flat shape and stabilization of submicron-sized surface bubbles observed in experiments cannot be explained only by the changes in interfacial tensions due to the van der Waals interaction-induced gas adsorption, namely by Young's equation without introducing the pinning effect. Based on our analysis, it was clarified that additional factors such as the differences in the studied systems are needed to explain the unresolved open issues-a satisfactory explanation for the nanobubbles in MD simulations being ultradense, non-flat, and stable without pinning.Teshima H., Kusudo H., Bistafa C., et al. Quantifying interfacial tensions of surface nanobubbles: How far can Young's equation explain?. Nanoscale 14, 2446 (2022); https://doi.org/10.1039/d1nr07428h

A 24 GHz FM-CW Radar System for Detecting Closed Multiple Targets and Its Applications in Actual Scenes

This paper develops a 24 GHz band FM-CW radar system to detect closed multiple targets in a small displacement environment, and its performance is analyzed by computer simulation. The FM-CW radar system uses a differential detection method for removing any signals from background objects and uses a tunable FIR filtering in signal processing for detecting multiple targets. The differential detection method enables the correct detection of both the distance and small displacement at the same time for each target at the FM-CW radar according to the received signals. The basic performance of the FM-CW radar system is analyzed by computer simulation, and the distance and small displacement of a single target are measured in field experiments. The computer simulations are carried out for evaluating the proposed detection method with tunable FIR filtering for the FM-CW radar and for analyzing the performance according to the parameters in a closed multiple targets environment. The results of simulation show that our 24 GHz band FM-CW radar with the proposed detection method can effectively detect both the distance and the small displacement for each target in multiple moving targets environments. Moreover, we develop an IoT-based application for monitoring several targets at the same time in actual scenes

Mouse 11β-Hydroxysteroid Dehydrogenase Type 2 for Human Application: Homology Modeling, Structural Analysis and Ligand-Receptor Interaction

Mouse (m) 11β-hydroxysteroid dehydrogenase type 2 (11βHSD2) was homology-modeled, and its structure and ligand-receptor interaction were analyzed. The modeled m11βHSD2 showed significant 3D similarities to the human (h) 11βHSD1 and 2 structures. The contact energy profiles of the m11βHSD2 model were in good agreement with those of the h11βHSD1 and 2 structures. The secondary structure of the m11βHSD2 model exhibited a central 6-stranded all-parallel β-sheet sandwich-like structure, flanked on both sides by 3-helices. Ramachandran plots revealed that only 1.1% of the amino acid residues were in the disfavored region for m11βHSD2. Further, the molecular surfaces and electrostatic analyses of the m11βHSD2 model at the ligand-binding site exhibited that the model was almost identical to the h11βHSD2 model. Furthermore, docking simulation and ligand-receptor interaction analyses revealed the similarity of the ligand-receptor bound conformation between the m11βHSD2 and h11βHSD2 models. These results indicate that the m11βHSD2 model was successfully evaluated and analyzed. To the best of our knowledge, this is the first report of a m11βHSD2 model with detailed analyses, and our data verify that the mouse model can be utilized for application to the human model to target 11βHSD2 for the development of anticancer drugs

Generic Skills Assessment Through Implementation of Group Based Learning to Understand SDGs

In this competitive world, it is important for students to acquire generic skills and its assessment in higher education is scarce. This study is an attempt to address the effect of group based learning on generic skills development and and also an approach to spread the knowledge of Sustainable Development Goals (SDGs). Like generic skills, educating young students about SDGs has become crucial. A workshop was conducted for 3 days and a total of 12 students filled in the questionnaire for group and self assessment of generic skills for 10 selected generic skills after every workshop. The overall results indicated that the group based learning have positive impact on the development of generic skills. We found that all generic skills were more developed in group assessment than individual assessment. When the inter-relationship among the skills were assessed for individual ratings using network analysis, the results revealed that the effective team work was strongly associated with co-operativity (r2 =0.7529 p <0.001), communication (r2 =0.7146, p <0.001) and information sharing (r2 =0.7529 p <0.001). The significant finding of this study is the use of shared educational materials which helped the students to overcome the language barrier and be more interactive to achieve the given goal. Further, this study has explored the application of group based learning as an effective educational approach to introduce any designed studies (in this case, SDGs) for fostering the innovative human resources belonging to different educational backgrounds. Moreover, this study also emphasizes on the importance of teaching SDGs to the engineering students for their capacity building, so that they not only understand but also act to ensure that the goals are met for better future. Keywords: Engineering students, Generic skills, Group based learning, Self assessment, Group Assessment Sustainable Development Goals (SDGs)

Large enhancement of superconducting transition temperature in single-element superconducting rhenium by shear strain

Finding a physical approach for increasing the superconducting transition temperature (Tc) is a challenge in the field of material science. Shear strain effects on the superconductivity of rhenium were investigated using magnetic measurements, X-ray diffraction, transmission electron microscopy, and first-principles calculations. A large shear strain reduces the grain size and simultaneously expands the unit cells, resulting in an increase in Tc. Here we show that this shear strain approach is a new method for enhancing Tc and differs from that using hydrostatic strain. The enhancement of Tc is explained by an increase in net electron–electron coupling rather than a change in the density of states near the Fermi level. The shear strain effect in rhenium could be a successful example of manipulating Bardeen–Cooper–Schrieffer-type Cooper pairing, in which the unit cell volumes are indeed a key parameter