SwePub
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Li Cheng) srt2:(2020-2024)"

Search: WFRF:(Li Cheng) > (2020-2024)

  • Result 1-10 of 396
Sort/group result
   
EnumerationReferenceCoverFind
1.
  • Beal, Jacob, et al. (author)
  • Robust estimation of bacterial cell count from optical density
  • 2020
  • In: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 3:1
  • Journal article (peer-reviewed)abstract
    • Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.
  •  
2.
  •  
3.
  •  
4.
  • 2021
  • swepub:Mat__t
  •  
5.
  • Kristan, Matej, et al. (author)
  • The first visual object tracking segmentation VOTS2023 challenge results
  • 2023
  • In: 2023 IEEE/CVF International conference on computer vision workshops (ICCVW). - : Institute of Electrical and Electronics Engineers Inc.. - 9798350307443 - 9798350307450 ; , s. 1788-1810
  • Conference paper (peer-reviewed)abstract
    • The Visual Object Tracking Segmentation VOTS2023 challenge is the eleventh annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge short-term and long-term as well as single-target and multiple-target tracking with segmentation masks as the only target location specification. A new dataset was created; the ground truth has been withheld to prevent overfitting. New performance measures and evaluation protocols have been created along with a new toolkit and an evaluation server. Results of the presented 47 trackers indicate that modern tracking frameworks are well-suited to deal with convergence of short-term and long-term tracking and that multiple and single target tracking can be considered a single problem. A leaderboard, with participating trackers details, the source code, the datasets, and the evaluation kit are publicly available at the challenge website1
  •  
6.
  • Kristan, Matej, et al. (author)
  • The Ninth Visual Object Tracking VOT2021 Challenge Results
  • 2021
  • In: 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021). - : IEEE COMPUTER SOC. - 9781665401913 ; , s. 2711-2738
  • Conference paper (peer-reviewed)abstract
    • The Visual Object Tracking challenge VOT2021 is the ninth annual tracker benchmarking activity organized by the VOT initiative. Results of 71 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years. The VOT2021 challenge was composed of four sub-challenges focusing on different tracking domains: (i) VOT-ST2021 challenge focused on short-term tracking in RGB, (ii) VOT-RT2021 challenge focused on "real-time" short-term tracking in RGB, (iii) VOT-LT2021 focused on long-term tracking, namely coping with target disappearance and reappearance and (iv) VOT-RGBD2021 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2021 dataset was refreshed, while VOT-RGBD2021 introduces a training dataset and sequestered dataset for winner identification. The source code for most of the trackers, the datasets, the evaluation kit and the results along with the source code for most trackers are publicly available at the challenge website(1).
  •  
7.
  •  
8.
  • Bhat, Goutam, et al. (author)
  • NTIRE 2022 Burst Super-Resolution Challenge
  • 2022
  • In: 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2022). - : IEEE. - 9781665487399 - 9781665487405 ; , s. 1040-1060
  • Conference paper (peer-reviewed)abstract
    • Burst super-resolution has received increased attention in recent years due to its applications in mobile photography. By merging information from multiple shifted images of a scene, burst super-resolution aims to recover details which otherwise cannot be obtained using a simple input image. This paper reviews the NTIRE 2022 challenge on burst super-resolution. In the challenge, the participants were tasked with generating a clean RGB image with 4x higher resolution, given a RAW noisy burst as input. That is, the methods need to perform joint denoising, demosaicking, and super-resolution. The challenge consisted of 2 tracks. Track 1 employed synthetic data, where pixel-accurate high-resolution ground truths are available. Track 2 on the other hand used real-world bursts captured from a handheld camera, along with approximately aligned reference images captured using a DSLR. 14 teams participated in the final testing phase. The top performing methods establish a new state-of-the-art on the burst super-resolution task.
  •  
9.
  •  
10.
  • Blokland, G. A. M., et al. (author)
  • Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders
  • 2022
  • In: Biological Psychiatry. - : Elsevier BV. - 0006-3223 .- 1873-2402. ; 91:1, s. 102-117
  • Journal article (peer-reviewed)abstract
    • Background: Sex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk. Methods: We conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH. Results: Across disorders, genome-wide significant single nucleotide polymorphism–by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10−8), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10−6) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10−7; rs73033497, p = 8.8 × 10−7; rs7914279, p = 6.4 × 10−7), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10−7) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10−7), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10−7) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05). Conclusions: In the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels. © 2021 Society of Biological Psychiatry
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-10 of 396
Type of publication
journal article (358)
conference paper (18)
research review (13)
reports (1)
book chapter (1)
Type of content
peer-reviewed (378)
other academic/artistic (13)
Author/Editor
Kim, Jae-Young (31)
Akiyama, Kazunori (31)
Alef, Walter (31)
Bintley, Dan (31)
Britzen, Silke (31)
Chen, Ming Tang (31)
show more...
Inoue, Makoto (31)
Jung, Taehyun (31)
Kawashima, Tomohisa (31)
Koay, Jun Yi (31)
Koyama, Shoko (31)
Lo, Wen-Ping (31)
Ros, Eduardo (31)
Alberdi, Antxon (30)
Barrett, John (30)
Blackburn, Lindy (30)
Brissenden, Roger (30)
Broderick, Avery E. (30)
Bronzwaer, Thomas (30)
Byun, Do Young (30)
Chen, Yongjun (30)
Conway, John, 1963 (30)
Cui, Yuzhu (30)
Davelaar, Jordy (30)
Desvignes, Gregory (30)
Eatough, Ralph P. (30)
Gammie, Charles F. (30)
Gentaz, Olivier (30)
Gu, Minfeng (30)
Huang, Chih Wei L. (30)
James, David J. (30)
Jiang, Wu (30)
Lee, Sang Sung (30)
Li, Zhiyuan (30)
Lindqvist, Michael, ... (30)
Liuzzo, Elisabetta (30)
Mao, Jirong (30)
Mizuno, Yosuke (30)
Mizuno, Izumi (30)
Moran, James M. (30)
Moriyama, Kotaro (30)
Natarajan, Iniyan (30)
Okino, Hiroki (30)
Pietu, Vincent (30)
PopStefanija, Aleksa ... (30)
Ramakrishnan, Venkat ... (30)
Raymond, Alexander W ... (30)
Ripperda, Bart (30)
Rygl, Kazi L. J. (30)
Sanchez-Arguelles, D ... (30)
show less...
University
Karolinska Institutet (115)
Chalmers University of Technology (65)
Uppsala University (58)
Royal Institute of Technology (55)
Lund University (52)
University of Gothenburg (49)
show more...
Umeå University (37)
Stockholm University (34)
Linköping University (27)
Luleå University of Technology (12)
University of Skövde (5)
RISE (5)
Swedish University of Agricultural Sciences (5)
Mälardalen University (4)
Stockholm School of Economics (4)
Halmstad University (3)
Örebro University (3)
Malmö University (3)
Högskolan Dalarna (3)
Mid Sweden University (2)
Linnaeus University (1)
Swedish Museum of Natural History (1)
Blekinge Institute of Technology (1)
IVL Swedish Environmental Research Institute (1)
show less...
Language
English (395)
Chinese (1)
Research subject (UKÄ/SCB)
Natural sciences (185)
Medical and Health Sciences (105)
Engineering and Technology (77)
Agricultural Sciences (10)
Social Sciences (8)
Humanities (1)

Year

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view