A Stirring Effect of the Loss Leader Strategy in a Two-Sided Online Platform

Loss leader strategy refers to a pricing strategy in which sellers set much lower prices than the original ones for specific products to attract user attention. Similar to brick-and-mortar stores, online marketplaces often try to expose their platforms more visibly to potential buyers by offering a particular product at a lower price. Yet, the effects of the loss leader strategy on the online marketplaces is indeterminate and largely remains an empirical question due to distinguished characteristics of online marketplaces from the traditional retail setting. This study examines the effects of the loss leader strategy in the context of the two-sided online platform, focusing on the changes of both buying and selling sides after the introduction of loss leader. We collaborate with an online travel marketplace that introduced loss leaders (ticket products with lower price) to parts of sub-markets, providing a natural experimental setting for examining the effect of the loss leaders

Deep Learning Model on Gravitational Waveforms in Merging and Ringdown Phases of Binary Black Hole Coalescences

The waveform templates of the matched filtering-based gravitational-wave search ought to cover wide range of parameters for the prosperous detection. Numerical relativity (NR) has been widely accepted as the most accurate method for modeling the waveforms. Still, it is well-known that NR typically requires a tremendous amount of computational costs. In this paper, we demonstrate a proof-of-concept of a novel deterministic deep learning (DL) architecture that can generate gravitational waveforms from the merger and ringdown phases of the non-spinning binary black hole coalescence. Our model takes ${\cal O}$(1) seconds for generating approximately $1500$ waveforms with a 99.9\% match on average to one of the state-of-the-art waveform approximants, the effective-one-body. We also perform matched filtering with the DL-waveforms and find that the waveforms can recover the event time of the injected gravitational-wave signals.Comment: 11 pages, 9 figures, accepted by PR

Particle Size on Respiratory Protection Provided by Two Types of N95 Respirators on Agricultural Settings

The objective of this study was to compare size-selective workplace protection factors (WPFs) of an N95 elastomeric respirator (ER) and an N95 filtering facepiece respirator (FFR) in agricultural environments. Twenty-five healthy farm workers ranging in age from 20 to 30 years voluntarily participated in the study. Altogether eight farms were included representing three different types: two horse farms, three pig barns, and three grain handling sites. Subjects wore the ER and FFR while performing their daily activities, such as spreading hay, feeding livestock, and shoveling. Aerosol concentrations in an optical particle size range of 0.7–10 µm were determined simultaneously inside and outside of the respirator during the first and last 15 minutes of a 60-minute experiment. For every subject, size-selective WPFs were calculated in one-minute intervals and averaged over 30 minutes. For the ER, geometric mean WPFs were 172, 321, 1013, 2097 and 2784 for particles of 0.7–1.0, 1.0–2.0, 2.0–3.0, 3.0–5.0, and 5.0–10.0 µm, respectively. Corresponding values for the FFR were 69, 127, 324, 893, and 1994. The 5th percentiles for the ER and FFR were higher than the Assigned Protection Factor of 10 and varied from 28 to 250 and from 16 to 225, respectively. The results show that the N95 ER and FFR tested in the study provided expected level of protection for workers on agricultural farms against particles ranging from 0.7 to 10 µm. The WPFs for the ER were higher than those for the FFR in all size ranges, and the WPFs for both respirators increased with increasing particle size

Comparison of Workplace Protection Factors for Different Biological Contaminants

This study compared workplace protection factors (WPFs) for five different contaminants (endotoxin, fungal spores, (1→3)-β-D-glucan, total particle mass, and total particle number) provided by an N95 elastomeric respirator (ER) and an N95 filtering facepiece respirator (FFR). We previously reported size-selective WPFs for total particle numbers for the ER and FFR, whereas the current article is focused on WPFs for bioaerosols and total particle mass. Farm workers (n = 25) wore the ER and FFR while performing activities at eight locations representing horse farms, pig barns, and grain handling facilities. For the determination of WPFs, particles were collected on filters simultaneously inside and outside the respirator during the first and last 15 min of a 60-min experiment. One field blank per subject was collected without actual sampling. A reporting limit (RL) was established for each contaminant based on geometric means (GMs) of the field blanks as the lowest possible measurable values. Depending on the contaminant type, 38–48% of data points were below the RL. Therefore, a censored regression model was used to estimate WPFs (WPFcensored). The WPFcensored provided by the two types of respirators were not significantly different. In contrast, significant differences were found in the WPFcensored for different types of contaminants. GMs WPFscensored for the two types of respirators combined were 154, 29, 18, 19, and 176 for endotoxin, fungal spore count, (1→3)-β-D-glucan, total particle mass, and total particle number, respectively. The WPFcensored was more strongly associated with concentrations measured outside the respirator for endotoxin, fungal spores, and total particle mass except for total particle number. However, when only data points with outside concentrations higher than 176×RL were included, the WPFs increased, and the association between the outside concentrations and the WPFs became weaker. Results indicate that difference in WPFs observed between different contaminants may be attributed to differences in the sensitivity of analytical methods to detect low inside concentrations, rather than the nature of particles (biological or non-biololgical)

Discovery and Genetic Characterization of Novel Paramyxoviruses Related to the Genus Henipavirus in Crocidura Species in the Republic of Korea

Paramyxoviruses, negative-sense single-stranded RNA viruses, pose a critical threat to human public health. Currently, 78 species, 17 genera, and 4 subfamilies of paramyxoviruses are harbored by multiple natural reservoirs, including rodents, bats, birds, reptiles, and fish. Henipaviruses are critical zoonotic pathogens that cause severe acute respiratory distress and neurological diseases in humans. Using reverse transcription-polymerase chain reaction, 115 Crocidura species individuals were examined for the prevalence of paramyxovirus infections. Paramyxovirus RNA was observed in 26 (22.6%) shrews collected at five trapping sites, Republic of Korea. Herein, we report two genetically distinct novel paramyxoviruses (genus: Henipavirus): Gamak virus (GAKV) and Daeryong virus (DARV) isolated from C. lasiura and C. shantungensis, respectively. Two GAKVs and one DARV were nearly completely sequenced using next-generation sequencing. GAKV and DARV contain six genes (30 -N-P-M-F-G-L-50 ) with genome sizes of 18,460 nucleotides and 19,471 nucleotides, respectively. The phylogenetic inference demonstrated that GAKV and DARV form independent genetic lineages of Henipavirus in Crocidura species. GAKV-infected human lung epithelial cells elicited the induction of type I/III interferons, interferon-stimulated genes, and proinflammatory cytokines. In conclusion, this study contributes further understandings of the molecular prevalence, genetic characteristics and diversity, and zoonotic potential of novel paramyxoviruses in shrews

Visuo-spatial (but not verbal) executive working memory capacity modulates susceptibility to non-numerical visual magnitudes during numerosity comparison.

The present study tested whether visuo-spatial vs. verbal executive working memory capacity (hereafter EWM) modulates the degree to which non-numerical visual magnitudes influence numerosity comparison using pairs of dot arrays. We hypothesized that visuo-spatial (rather than verbal) EWM capacity would influence one's ability to selectively focus on numerical as opposed to non-numerical visual properties (such as dot size, cumulative area, density) of the dot arrays during numerosity comparison. Participants' performance was better on trials in which non-numerical visual magnitudes were negatively (vs. positively) correlated with numerosity (i.e., reverse congruency effect). The Low visuo-spatial EWM group manifested greater reverse congruency effect compared to the High visuo-spatial EWM group. A trial-based hierarchical regression on the accuracy of each trial using the ratio of (numerical and non-numerical) visual magnitudes as predictors revealed that the ratio of numerical vs. non-numerical visual magnitudes explained the greatest variance in the performance of the High vs. Low visuo-spatial EWM groups, respectively. In contrast, there was no difference between the High vs. Low verbal EWM groups from the same analysis. These results reveal differential susceptibility to numerical vs. non-numerical visual information depending on the capacity of visuo-spatial (but not verbal) EWM. Taken together, numerosity comparison performance measured with the dot comparison paradigm seems to reflect not only one's acuity for numerosity discrimination but also visuo-spatial EWM capacity likely required during integration of visual magnitudes during numerosity comparison

When a Loss is a Gain and When It’s Just a Loss: The Effect of Loss Leader Strategy in Online Marketplaces

This study examines the impact of loss leader strategy on the sales of core products in an online marketplace. We assess differential effects of loss leading products according to their associations with core products, and further examine moderating roles of peer reviews and product prices that serve as informational cues in online marketplaces. We collect a unique dataset containing information about individual-level transactions and product-specific characteristics. To deal with endogeneity issues in adopting the loss leader strategy for particular sub-markets, we conduct a difference-in-differences analysis in combination with propensity score matching at the sub-market level. Our results suggest that the introduction of loss leading product would be positively associated with the sales of core products only when they have non-substitutional relationships with the core products. Further, this study examines that such association can be strengthened/weakened by the informational cues. Interpretations and implications of the results are presented

Controlled Regulation of the Nitrile Activation of a Peroxocobalt(III) Complex with Redox-Inactive Lewis Acidic Metals

Redox-inactive metal ions play vital roles in biological O-2 activation and oxidation reactions of various substrates. Recently, we showed a distinct reactivity of a peroxocobalt(III) complex bearing a tetradentate macrocyclic ligand, [Co-III(TBDAP)(O-2)](+) (1) (TBDAP = N,N'-di-tert-butyl-2,11-diaza[3.3](2,6)pyridinophane), toward nitriles that afforded a series of hydroximatocobalt(III) complexes, [Co-III(TBDAP)(R-C(=NO)O)](+) (R = Me (3), Et, and Ph). In this study, we report the effects of redox-inactive metal ions on nitrile activation of 1. In the presence of redox-inactive metal ions such as Zn2+, La3+, Lu3+, and Y3+, the reaction does not form the hydroximatocobalt(III) complex but instead gives peroxyimidatocobalt(III) complexes, [Co-III(TBDAP)(R-C(=NH)O-2)](2+) (R = Me (2) and Ph (2(Ph))). These new intermediates were characterized by various physicochemical methods including X-ray diffraction analysis. The rates of the formation of 2 are found to correlate with the Lewis acidity of the additive metal ions. Moreover, complex 2 was readily converted to 3 by the addition of a base. In the presence of Al3+, Sc3+, or H+, 1 is converted to [Co-III(TBDAP)(O2H)(MeCN)](2+) (4), and further reaction with nitriles did not occur. These results reveal that the reactivity of the peroxocobalt(III) complex 1 in nitrile activation can be regulated by the redox-inactive metal ions and their Lewis acidity. DFT calculations show that the redox-inactive metal ions stabilize the peroxo character of end-on Co-eta(1)-O-2 intermediate through the charge reorganization from a Co-II-superoxo to a Co-III-peroxo intermediate. A complete mechanistic model explaining the role of the Lewis acid is presented

Simultaneous Localization and Mapping Algorithm for Topological Maps with Dynamics

A simultaneous localisation and mapping (SLAM) algorithm for topological maps is proposed. Especially, this algorithm deals with a semi-permanent dynamics induced by door opening and closing. To deal with the semi-permanent dynamics, nodes are classified into two types. One is an invariant node that is free from the dynamics, and the other is a variant node that is not affected by door opening and closing. Two different approaches are used at the same time: a quasi-static SLAM for the invariant nodes and a dynamic SLAM for the variant nodes. A gross shape of the given environment is represented by the quasi-static SLAM algorithm, and a detailed shape of the environment is revealed via the dynamic SLAM. Experimental results validate that the proposed algorithm produces a topologically consistent map under the semi-permanent dynamics.X1147sciescopu