134,027 research outputs found
Phylogenetic tree depicting Wuhan-Hu-1 spike genes analyzed by SGS.
55 control Wuhan-Hu-1 spike genes were amplified by nested PCR using S primers listed in S1 Table. Blue rectangle depicts the WT Wuhan-Hu-1 spike gene. Black rectangles depict the S genes that were amplified. (TIF)</p
In-fiber subpicosecond pulse shaping for nonlinear optical telecommunication data processing at 640 Gbit/s
We review recent work on all-fiber (long-period fiber grating) devices for optical pulse shaping, particularly flat-top pulse generation, down to the subpicosecond range and their application for nonlinear switching (demultiplexing) of optical time-division multiplexed (OTDM) data signals in fiber-optic telecommunication links operating up to 640 Gbit/s. Experiments are presented demonstrating error-free 640-to-10 Gbit/s demultiplexing of the 64 tributary channels using the generated flat-top pulses for temporal gating in a Kerr-effect-based nonlinear optical loop mirror. The use of flat-top pulses has critical benefits in the demultiplexing process, including a significantly increased timing-jitter tolerance (up to ~500 fs, i.e., 30% of the bit period) and the associated improvement in the bit-error-rate performance (e.g., with a sensitivity increase of up to ~13 dB as compared with the use of Gaussian-like gating pulses). Long-period fiber grating pulse shapers with reduced polarization dependence are fabricated and successfully used for polarization-independent 640-to-10 Gbit/s demultiplexing experiments
SAM Filtering Pipeline (SFP): Algorithm for the determination of integration sites from next generation sequencing data
The locus at which a vector harboring a product transgene integrates into the genome can have a profound effect on the transgene’s transcript level and the stability of the resulting cell line. In order to identify integration site(s) of a transfected vector from next generation genome sequencing data, the SAM filtering pipeline (SFP) was created. It is best suited for targeted sequence data, such as that from sequence capture of probed vector regions. However, it will also work for whole genome sequencing data, though the memory requirements are large (the more reads in your data set, the larger the memory requirements). A bwa-mem mapped .sam file is required as input to the pipeline.O'Brien, Sofie A; Hu, Wei-Shou. (2019). SAM Filtering Pipeline (SFP): Algorithm for the determination of integration sites from next generation sequencing data. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/9wgm-mj51
Image quality comparisons with Hu et al.’s method.
Image quality comparisons with Hu et al.’s method.</p
Performance Evaluation of Distributed-Antenna Communications Systems Using Beam-Hopping
Digital beamforming (DBF) techniques are capable of improving the performance of communications systems significantly. However, if the transmitted signals are conflicted with strong interference, especially, in the direction of the transmitted beams , these directional jamming signals will severely degrade the system performance. In order to efficiently mitigate the interference of the directional jammers, in this contribution a beam-hopping (BH) communications scheme is proposed. In the proposed BH communications scheme, only one pair of the beams is used for transmission and it hops from one to the next according to an assigned BH pattern. In this contribution a range of expressions in terms of the average SINR performance have been derived, when both the uplink and downlink are considered. The average SINR performance of the proposed BH scheme and that of the conventional single-beam (SB) as well as multiple-beam (MB) assisted beam-processing schemes have been investigated. Our analysis and results show that the proposed BH scheme is capable of efficiently combating the directional jamming, with the aid of utilizing the directional gain of the beams generated by both the transmitter and the receiver. Furthermore, the BH scheme is capable of reducing the intercept probability of the communications. Therefore, the proposed BH scheme is suitable for communications, when several distributed antenna arrays are available around a mobile
Agelosus auricomus Smetana & Hu 2019
Agelosus auricomus Smetana & Hu, 2019 (Figs. 3, 50) Material examined. TAIWAN: New Taipei City: 1 female, Guishan (ƟƜ), Wulai Dist., 24.9021, 121.5510, ca. 80m, 13-IV-2012, leg. L. C. Shih (FSHc). Nantou County: 1 spec., CCCC, Shihmenshan (ƂḋƜ), 03.III.2019. leg. S.-P. Wu (TARI). Yilan County: 1 male, Fushan Botanical Garden (AEƜ ḆṄṞ), Yunnan To., 26-II-2020, leg. S. S. Lu (FSHc). Diagnosis. Agelosus auricomus is the only species of the genus in Taiwan. It can be distinguished from most Staphylinina in Taiwan by the mandibles each with a subdental indentation. However, this character convergently evolved in the genus Nelmanwaslus Smetana, 2006. So far, only N. ornatus Smetana, 2006 has been found in Taiwan and is newly reported in this paper. Agelosus auricomus can be easily distinguished from N. ornatus by the patches of golden-yellow tomentose pubescence on the elytra (Fig. 3). Bionomics. Based on an import of locality name into Google Earth from collection data (Smetana & Hu 2019), Ag. auricomus occurs from 20– 800 m. Apparently, the species only occurs in the lowlands or low mountains. The specimen from Guishan was collected from the foot of a mountain near Nanshi River (ĦBữ). Smetana & Hu (2019) reported a specimen that was collected from under a stone in a valley in mixed wood forest. Distribution. Agelosus auricomus is at present known from Taiwan, including Nantou County, New Taipei City, Taipei City and Yilan County (Smetana & Hu 2019 and this study). The additional specimen from Nantou indicates that this species is perhaps widespread in Taiwan. Apecholinus fraternus Fairmaire, 1891 (Fig. 4) Material examined. TAIWAN: Hsinchu County: 1 spec., Talutrail (±ẘIJǎ), 01.VIII.2015, leg. Y.-L. Lin (TARI). Nantou County: 1 male, Meifeng (đø), Renai To., 05-VI-2019, leg. W. Z. Wang (FSHc). Diagnosis. Apecholinus fraternus can be distinguished from all other species of Apecholinus in Taiwan by the lack of golden-yellow or grey tomentose pubescence on the body. Bionomics. Based on an import of locality name into Google Earth from collection data (Hayashi 1978, Smetana 2018, Smetana & Hu 2019), Ap. fraternus occurs from 1400–2600 m in Taiwan. Some specimens of this species were collected by pitfall traps, but nothing known about the habitat the traps were set in (Smetana 2018, Smetana & Hu 2019). Smetana & Hu (2019) reported a specimen collected from under a rock near a creek. Distribution. Apecholinus fraternus is widespread in mainland China including Guangxi, Guizhou, Henan, Hubei, Hunan, Shaanxi, Sichuan and Yunnan. The species also widespread in Taiwan including Chiayi County, Hsinchu County, Hualien County, Nantou County and Taichung City (Smetana 2018, Smetana & Hu 2019). The specimen from Hsinchu represents the first specimen from northern Taiwan. Remarks. The name ‘ Agelosus fraternus ’ in the ‘Geographical distribution’ section of Ap. fraternus in Smetana & Hu (2019) should be corrected to ‘ Apecholinus fraternus ’.Published as part of Hu, Fang-Shuo, 2020, New distributional records of Staphylinina in Taiwan, including a new species of Miobdelus Sharp (Coleoptera: Staphylinidae: Staphylininae: Staphylinini), pp. 334-360 in Zootaxa 4768 (3) on pages 336-337, DOI: 10.11646/zootaxa.4768.3.2, http://zenodo.org/record/378403
Fast simulation of 3-D surface flanging and prediction of the flanging lines based on one-step inverse forming algorithm
Correlation between neutralising antibody titres against vaccine (Wuhan-hu-1) and VOCs.
Antibody responses measured by pseudotype-based neutralisation assay against Wuhan-hu-1 were compared with those against B.1.617.1, B.1.617.2 and B.1.351. Responses were compared for A) BNT162b2 1 dose, B) BNT162b2 2 doses, C) ChAdOx1 1 dose and D) ChAdOx1 2 doses. Correlations between groups were evaluated and non-parametric Spearman correlation coefficients calculated using GraphPad Prism version 8. (DOCX)</p
Elution profiles of chlorpyrifos hydrolase from <i>Cladosporium cladosporioides</i> Hu-01 on Sephacryl S-100 gel filtration (a) and DEAE Sepharose Fast Flow anion-exchange column (b).
<p>Elution profiles of chlorpyrifos hydrolase from <i>Cladosporium cladosporioides</i> Hu-01 on Sephacryl S-100 gel filtration (a) and DEAE Sepharose Fast Flow anion-exchange column (b).</p
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