545 research outputs found
Categorification of ice quiver mutation
In 2009, Keller and Yang categorified quiver mutation by interpreting it in
terms of equivalences between derived categories. Their approach was based on
Ginzburg's Calabi-Yau algebras and on Derksen-Weyman-Zelevinsky's mutation of
quivers with potential. Recently, Matthew Pressland has generalized mutation of
quivers with potential to that of ice quivers with potential. In this paper, we
show that his rule yields derived equivalences between the associated relative
Ginzburg algebras, which are special cases of Yeung's deformed relative
Calabi-Yau completions arising in the theory of relative Calabi-Yau structures
due to To\"en and Brav-Dyckerhoff. We illustrate our results on examples
arising in the work of Baur-King-Marsh on dimer models and cluster categories
of Grassmannians. We also give a categorification of mutation at frozen
vertices as it appears in recent work of Fraser-Sherman-Bennett on positroid
cluster structures.Comment: 34 pages; arXiv admin note: text overlap with arXiv:0906.0761,
arXiv:1810.01179 by other authors; many improvements and corrections;to
appear in Mathematische Zeitschrif
Brand Reputation and the Cost of Capital: Evidence of Adopting a Brand Name as the Corporate Name
This paper studies how the capital market perceives brand name adoption. I distinguish between brand adoption and radical type of corporate name change. A brand adoption name change occurs when the firm adopts one of its well-established brands as its new corporate name and a radical type occurs when the new name is semantically unrelated to firm history. Improved profitability and increased net investment accompany brand name adoption. After controlling for changes in the competing information sources, the accompanying improved economic performance, and the endogeneity of the decision to adopt a brand name, I find that, while there are no intertemporal variations in the cost of capital for a radical name change, a brand name adoption is associated with a lower cost of capital following the name change, suggesting that brand reputation is a valuable asset
AN INDOOR BLUETOOTH-CENTRIC PROXIMITY BASED POSITIONING SYSTEM
In recent years, positioning and navigation become an important topic in research. The most popular positioning system is an outdoor positioning called Global Positioning System (GPS). However, due to the influence of weak signal strength, weather conditions, diverse geographical and living environments, GPS sometimes cannot support indoor positioning and, if it can, the 5-10 meters error range does not meet the indoor positioning requirement. In order to provide a better solution with higher accuracy for indoor localization, we can benefit from the proliferation of indoor communication devices. Different technologies such as WiFi, Radio Frequency Identification (RFID) and Ultra-wideband (UWB) have been commonly used in indoor positioning systems. However, WiFi has a high energy consumption for indoor localization, as it consumes 3 to 10 watts per hour in the case of using 3 routers to do the job. In addition, due to its dependency on reference tags, the overall cost of the RFID-based approaches may usually cost more than $300 which is economically prohibitive. In terms of UWB, its low area coverage brings great challenges to popularizing its acceptance as a device for indoor positioning. The Bluetooth Low Energy (BLE) based iBeacon solution primarily focuses on the proximity based detection, and its low power consumption and low price bring great potential for its popularity. In this report, assuming that the resident owns a smartphone which is powered on, we present an iBeacon based indoor positioning system and provide some strategies and algorithms to overcome the indoor noise of possibly weak indoor Bluetooth signals. In our system, the Received Signal Strength Index (RSSI) is pre-processed to eliminate noise. Then, the distance between a mobile device and a BLE signal source can be calculated by combination use of pre-processed RSSI, Kalman Filter, and machine learning. In the end, the current mobile device position can be determined by using a triangulation algorithm. Our experimental results, acquired through running experiments in a real-world scenario, show that the localization error can be as low as 0.985m in the 2D environment. We also compared our results against other works with the same research objectives
Relative cluster categories and Higgs categories
Cluster categories were introduced in 2006 by
Buan-Marsh-Reineke-Reiten-Todorov in order to categorify acyclic cluster
algebras without coefficients. Their construction was generalized by Amiot
(2009) and Plamondon (2011) to arbitrary cluster algebras associated with
quivers. A higher dimensional generalization is due to Guo (2011). Cluster
algebras with coefficients are important since they appear in nature as
coordinate algebras of varieties like Grassmannians, double Bruhat cells,
unipotent cells, etc. The work of Geiss-Leclerc-Schr\"oer often yields
Frobenius exact categories which allow to categorify such cluster algebras.
In this paper, we generalize the construction of (higher) cluster categories
by Claire Amiot and by Lingyan Guo to the relative context. We prove the
existence of an -cluster tilting object in a Frobenius extriangulated
category, namely the Higgs category (generalizing the Frobenius categories of
Geiss-Leclerc-Schr\"oer), which is stably -Calabi--Yau and Hom-finite,
arising from a left -Calabi--Yau morphism. Our results apply in
particular to relative Ginzburg dg algebras coming from ice quivers with
potential and higher Auslander algebras associated to -representation-finite algebras.Comment: 72 page
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Water Reservoir Maintained by Cell Growth Fuels the Spreading of a Bacterial Swarm
Flagellated bacteria can swim across moist surfaces within a thin layer of fluid, a means for surface colonization known as swarming. This fluid spreads with the swarm, but how it does so is unclear. We used micron-sized air bubbles to study the motion of this fluid within swarms of Escherichia coli. The bubbles moved diffusively, with drift. Bubbles starting at the swarm edge drifted inward for the first 5 s and then moved outward. Bubbles starting 30 μm from the swarm edge moved inward for the first 20 s, wandered around in place for the next 40 s, and then moved outward. Bubbles starting at 200 or 300 μm from the edge moved outward or wandered around in place, respectively. So the general trend was inward near the outer edge of the swarm and outward farther inside, with flows converging on a region about 100 μm from the swarm edge. We measured cellular metabolic activities with cells expressing a short-lived GFP and cell densities with cells labeled with a membrane fluorescent dye. The fluorescence plots were similar, with peaks about 80 μm from the swarm edge and slopes that mimicked the particle drift rates. These plots suggest that net fluid flow is driven by cell growth. Fluid depth is largest in the multilayered region between approximately 30 and 200 μm from the swarm edge, where fluid agitation is more vigorous. This water reservoir travels with the swarm, fueling its spreading. Intercellular communication is not required; cells need only grow.Molecular and Cellular BiologyPhysic
Relative cluster categories and Higgs categories with infinite-dimensional morphism spaces
Cluster algebras *with coefficients* are important since they appear in
nature as coordinate algebras of varieties like Grassmannians, double Bruhat
cells, unipotent cells, ... . The approach of Geiss-Leclerc-Schr\"oer often
yields Frobenius exact categories which allow to categorify such cluster
algebras. In previous work, the third-named author has constructed Higgs
categories and relative cluster categories in the relative Jacobi-finite
setting (arXiv:2109.03707). Higgs categories generalize the Frobenius
categories used by Geiss-Leclerc-Schr\"oer.
In this article, we construct the Higgs category and the relative cluster
category in the relative Jacobi-infinite setting under suitable hypotheses.
This covers for example the case of Jensen-King-Su's Grassmannian cluster
category. As in the relative Jacobi-finite case, the Higgs category is no
longer exact but still extriangulated in the sense of Nakaoka-Palu. We also
construct a cluster character refining Plamondon's.
In the appendix, Chris Fraser and the second-named author categorify
quasi-cluster morphisms using Frobenius categories. A recent application of
this result is due to Matthew Pressland, who uses it to prove a conjecture by
Muller-Speyer.Comment: 44 pages, with an appendix by Chris Fraser and Bernhard Keller; v2:
Corrections in abstract, references and addres
The economic impact of SPS measures on agricultural exports to China: an empirical analysis using the PPML method
Since China first joined the World Trade Organization (WTO) in 2001, many countries around the world have sought to capitalize on lower tariff rates and China’s increasing demand for high quality agricultural products. However, as competitive pressures in its agricultural sector have intensified, the Chinese government has implemented other forms of protectionist measures. Known as non-tariff measures (NTMs), these policy initiatives have added another dimension to international trade activities that needs to be better understood. Using a set of variables clearly identified in academic literature, our paper analyzes the effect that sanitary and phytosanitary measures (SPS) have on New Zealand, U.S., Korean, and Japanese agricultural exports to China. To measure the effect that NTMs have on exports, we use an adapted version of the gravity model and the Poisson pseudo maximum likelihood method. The key findings from the empirical projection show that Chinese SPS measures have a negative, albeit insignificant effect on the sample as a whole. However, when looking at the individual countries, the SPS measures were seen to have a negative effect on Japan and the U.S., while from a Korean perspective, their impact was positive and significant. As part of a secondary analysis, it was interesting to note that the SPS measures had a positive effect on New Zealand’s exports before its free trade agreements (FTA) with China came into force. However, in the years since then, they were seen to have a negative impact
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