High frequency sampling oscilloscopes used for vector network analysis: Synthetic vector network analyzer

Author(s):  
Nathan Waivio
2014 ◽  
Vol 34 (7) ◽  
pp. 0733001
Author(s):  
郑贤良 Zheng Xianliang ◽  
刘瑞雪 Liu Ruixue ◽  
夏明亮 Xia Mingliang ◽  
李大禹 Li Dayu ◽  
宣丽 Xuan Li

2018 ◽  
Vol 7 (4.5) ◽  
pp. 324
Author(s):  
Ghulam Ahmad Raza ◽  
Garima Saini ◽  
Naveen Kumar

This paper presents a novel patch antenna for TV white spaces applications. The shape of the proposed antenna is based on the shape of a wineglass. The dimension of the proposed antenna is 170 mm x 120 mm x 1.6 mm. After simulation, the proposed antenna resonates at 703 MHz with a return loss of -21.97 dB and covering a bandwidth from 495 MHz to 1540 MHz. Overall bandwidth coverage is 1045 MHz. So the proposed antenna is a wide band antenna covering almost the entire TV Ultra High Frequency (UHF) range. Simulated VSWR obtained at 703 MHz is 1.38 dB and simulated gain is 2.32 dB. The proposed antenna is fabricated using FR4 substrate and tested on Vector Network Analyzer (VNA). The measured return loss of fabricated antenna is -20.20 dB at 596 MHz. Proposed antenna shows the simulated radiation efficiency of 95%. Simulated and measured results showed good match between them. Proposed design is compared with few designs available in literature to validate its novelty and advantages. 


2020 ◽  
Vol 146 (1) ◽  
pp. 06019012 ◽  
Author(s):  
Wenlong Liu ◽  
Bryan Maxwell ◽  
François Birgand ◽  
Mohamed Youssef ◽  
George Chescheir ◽  
...  

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e041631
Author(s):  
Tobias Brummaier ◽  
Basirudeen Syed Ahamed Kabeer ◽  
Pornpimon Wilaisrisak ◽  
Mupawjay Pimanpanarak ◽  
Aye Kyi Win ◽  
...  

PurposeA successful pregnancy relies on the interplay of various biological systems. Deviations from the norm within a system or intersystemic interactions may result in pregnancy-associated complications and adverse pregnancy outcomes. Systems biology approaches provide an avenue of unbiased, in-depth phenotyping in health and disease. The molecular signature in pregnancy (MSP) cohort was established to characterise longitudinal, cross-omic trajectories in pregnant women from a resource constrained setting. Downstream analysis will focus on characterising physiological perturbations in uneventful pregnancies, pregnancy-associated complications and adverse outcomes.ParticipantsFirst trimester pregnant women of Karen or Burman ethnicity were followed prospectively throughout pregnancy, at delivery and until 3 months post partum. Serial high-frequency sampling to assess whole blood transcriptomics and microbiome composition of the gut, vagina and oral cavity, in conjunction with assessment of gene expression and microbial colonisation of gestational tissue, was done for all cohort participants.Findings to date381 women with live born singletons averaged 16 (IQR 15–18) antenatal visits (13 094 biological samples were collected). At 5% (19/381) the preterm birth rate was low. Other adverse events such as maternal febrile illness 7.1% (27/381), gestational diabetes 13.1% (50/381), maternal anaemia 16.3% (62/381), maternal underweight 19.2% (73/381) and a neonate born small for gestational age 20.2% (77/381) were more often observed than preterm birth.Future plansResults from the MSP cohort will enable in-depth characterisation of cross-omic molecular trajectories in pregnancies from a population in a resource-constrained setting. Moreover, pregnancy-associated complications and unfavourable pregnancy outcomes will be investigated at the same granular level, with a particular focus on population relevant needs such as effect of tropical infections on pregnancy. More detailed knowledge on multiomic perturbations will ideally result in the development of diagnostic tools and ultimately lead to targeted interventions that may disproportionally benefit pregnant women from this resource-limited population.Trial registration numberNCT02797327.


1986 ◽  
Vol 113 (1_Suppl) ◽  
pp. S201
Author(s):  
A. GÖHRING ◽  
A. PRECHEL ◽  
A. KRAUSE ◽  
T.O.F. WAGNER ◽  
A. VON ZUR MÜHLEN

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