| 1. |
- Beal, Jacob, et al.
(author)
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Robust estimation of bacterial cell count from optical density
- 2020
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In: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 3:1
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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.
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| 2. |
- Kim, Yun Kyung, et al.
(author)
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Overcoming the liability of foreignness in US capital markets: the case of Alibaba and Coupang
- 2023
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In: Asia Pacific Business Review. - : Routledge. - 1743-792X .- 1360-2381. ; 29:2, s. 323-349
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Journal article (peer-reviewed)abstract
- Drawing on signalling theory and using the cases of Alibaba and Coupang, we investigate whether and how venture capital-backed companies from emerging markets use CSR to overcome the liability of foreignness when going public in the US. Our findings suggest that such firms strategically increase their CSR activities prior to their IPO in order to signal legitimacy to investors. They also suggest that firms with both strong and weak CSR signalling strategies (as measured by signal cost, frequency and consistency) are equally likely to have successful IPOs when they are backed by reputable venture capital firms.
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| 3. |
- Qian, Liangxin, et al.
(author)
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Distributed Learning for Wireless Communications : Methods, Applications and Challenges
- 2022
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In: IEEE Journal on Selected Topics in Signal Processing. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 1932-4553 .- 1941-0484. ; 16:3, s. 326-342
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Journal article (peer-reviewed)abstract
- With its privacy-preserving and decentralized features, distributed learning plays an irreplaceable role in the era of wireless networks with a plethora of smart terminals, an explosion of information volume and increasingly sensitive data privacy issues. There is a tremendous increase in the number of scholars investigating how distributed learning can be employed to emerging wireless network paradigms in the physical layer, media access control layer and network layer. Nonetheless, research on distributed learning for wireless communications is still in its infancy. In this paper, we review the contemporary technical applications of distributed learning for wireless communications. We first introduce the typical frameworks and algorithms for distributed learning. Examples of applications of distributed learning frameworks in emerging wireless network paradigms are then provided. Finally, main research directions and challenges of distributed learning for wireless communications are discussed.
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