dc Conductivity Anomalies at the Transition Points in TTF–TCNQ

1976 ◽  
Vol 41 (1) ◽  
pp. 351-352 ◽  
Author(s):  
Takehiko Ishiguro ◽  
Seiichi Kagoshima ◽  
Hiroyuki Anzai
1991 ◽  
Vol 123 (2) ◽  
pp. K145-K148 ◽  
Author(s):  
R. Piasecki ◽  
Z. Ziembik ◽  
W. Wacławek ◽  
M. Zabkowska-Wacławek

2020 ◽  
Vol 27 (6) ◽  
pp. 2064-2070
Author(s):  
Yinge Li ◽  
Lisheng Zhong ◽  
Liang Cao ◽  
Wenpeng Li ◽  
Jinghui Gao ◽  
...  

2021 ◽  
Vol 22 (11) ◽  
pp. 5639
Author(s):  
Nikolai Huwa ◽  
Oliver H. Weiergräber ◽  
Christian Kirsch ◽  
Ulrich Schaffrath ◽  
Thomas Classen

The monocot chimeric jacalin OsJAC1 from Oryza sativa consists of a dirigent and a jacalin-related lectin domain. The corresponding gene is expressed in response to different abiotic and biotic stimuli. However, there is a lack of knowledge about the basic function of the individual domains and their contribution to the physiological role of the entire protein. In this study, we have established a heterologous expression in Escherichia coli with high yields for the full-length protein OsJAC1 as well as its individual domains. Our findings showed that the secondary structure of both domains is dominated by β-strand elements. Under reducing conditions, the native protein displayed clearly visible transition points of thermal unfolding at 59 and 85 °C, which could be attributed to the lectin and the dirigent domain, respectively. Our study identified a single carbohydrate-binding site for each domain with different specificities towards mannose and glucose (jacalin domain), and galactose moieties (dirigent domain), respectively. The recognition of different carbohydrates might explain the ability of OsJAC1 to respond to different abiotic and biotic factors. This is the first report of specific carbohydrate-binding activity of a DIR domain, shedding new light on its function in the context of this monocot chimeric jacalin.


Micromachines ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 755
Author(s):  
Chen-Yang Zhao ◽  
Chi-Fai Cheung ◽  
Wen-Peng Fu

In this paper, an investigation of cutting strategy is presented for the optimization of machining parameters in the ultra-precision machining of polar microstructures, which are used for optical precision measurement. The critical machining parameters affecting the surface generation and surface quality in the machining of polar microstructures are studied. Hence, the critical ranges of machining parameters have been determined through a series of cutting simulations, as well as cutting experiments. First of all, the influence of field of view (FOV) is investigated. After that, theoretical modeling of polar microstructures is built to generate the simulated surface topography of polar microstructures. A feature point detection algorithm is built for image processing of polar microstructures. Hence, an experimental investigation of the influence of cutting tool geometry, depth of cut, and groove spacing of polar microstructures was conducted. There are transition points from which the patterns of surface generation of polar microstructures vary with the machining parameters. The optimization of machining parameters and determination of the optimized cutting strategy are undertaken in the ultra-precision machining of polar microstructures.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Patrick Wurzel ◽  
Jörg Ackermann ◽  
Hendrik Schäfer ◽  
Sonja Scharf ◽  
Martin-Leo Hansmann ◽  
...  

Abstract Human lymph nodes play a central part of immune defense against infection agents and tumor cells. Lymphoid follicles are compartments of the lymph node which are spherical, mainly filled with B cells. B cells are cellular components of the adaptive immune systems. In the course of a specific immune response, lymphoid follicles pass different morphological differentiation stages. The morphology and the spatial distribution of lymphoid follicles can be sometimes associated to a particular causative agent and development stage of a disease. We report our new approach for the automatic detection of follicular regions in histological whole slide images of tissue sections immuno-stained with actin. The method is divided in two phases: (1) shock filter-based detection of transition points and (2) segmentation of follicular regions. Follicular regions in 10 whole slide images were manually annotated by visual inspection, and sample surveys were conducted by an expert pathologist. The results of our method were validated by comparing with the manual annotation. On average, we could achieve a Zijbendos similarity index of 0.71, with a standard deviation of 0.07.


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